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Mapping the Construction Technology Vendor Landscape in 2026

RighttoBuild — Sat, 02 May 2026 08:07:27 +0000

Market Map · Vendor Landscape · 18 min read

A working map of the construction technology vendor landscape heading into 2026 — not a ranking, but a structural read of who is consolidating, who is fragmenting, where the moats actually sit, and what a buyer should be paying attention to that the trade press generally isn’t.

§ 01 · Why The Ranked-List Format Is Broken

“Top 10 construction tech companies” lists tell you almost nothing useful.

Every quarter, somewhere on the construction trade press, a new ranking appears: the top ten, top twenty, top fifty construction technology companies, ordered into a numbered list and presented as if the position itself contains information. It almost never does. The criteria are usually undisclosed, the comparison set is wrong (tools that do utterly different jobs are stacked against each other), and the act of ranking implies a transitivity that simply doesn’t apply to this market — a project scheduling tool isn’t more or less than a generative design plug-in any more than a hammer is more or less than a saw. They do different work. The list format flattens that distinction into a popularity contest.

What a procurement-minded reader actually needs is the opposite of a list. They need a map: a structural picture of the construction technology market that explains where the layers connect to each other, which incumbents own which territory, where the new entrants are credibly threatening the establishment, and where the moats are deep versus where they look deep but aren’t. They need to know which categories are consolidating into a small number of dominant platforms (most of them) and which are fragmenting into long tails of specialised tools (a few of them, and the few that matter are interesting). And they need that map to be honest about the parts of the market where the marketing language has run substantially ahead of the operational reality.

This article tries to be that map. It is not a ranking. It does not name a single best vendor in each category, because in most categories the question doesn’t have a single best answer — it has several roughly equivalent answers that depend on the size of the firm doing the buying, the existing data ecosystem they are working inside, and the project profile they are running. What the map does instead is draw the lines between the layers, identify where the consolidation pressure is concentrating, and flag the structural questions that any construction technology buyer should be sitting with before they sign a contract for any of it.

— The Construction Technology Stack, Layer by Layer —

Layer 7 — Operate

Asset performance · FM digital twins · tenant systems

Layer 6 — Build

Site execution · reality capture · field QA · safety

Layer 5 — Procure

Material catalogues · supply chain · tendering

Layer 4 — Coordinate

Connected data environments · ISO 19650 · BIM coordination

Layer 3 — Design

BIM authoring · structural · MEP · analysis · generative design

Layer 2 — Cost & Schedule

Cost planning · estimating · programme · resource planning

Layer 1 — Data & Infrastructure

Cloud · AI inference · identity · integration plumbing

Each layer has its own incumbents, its own moat dynamics, and its own consolidation logic. They are connected, but they are not the same market.

§ 02 · Consolidated Layers

Where four or five players already own the territory.

The first thing that any honest map of the construction technology market has to admit is that several of the layers above are essentially closed. A handful of large incumbents own the BIM authoring layer, and have done for over a decade. A different handful of incumbents own the heavyweight project programming and earned-value layer, and have done for even longer. The connected data environment layer is consolidating fast around three or four major platforms, most of them owned by parents that also own the BIM authoring tools above them. None of these layers is a green-field market. The realistic question for a buyer is not which vendor to choose; it is which incumbent’s ecosystem to commit to.

The structural reason is the data ecosystem effect. BIM authoring tools have become operating systems for the design process. Once a practice has invested several years in standardising its content libraries, naming conventions, custom families, and rule libraries inside one of those operating systems, the cost of switching is dramatic — not because the file format is locked (most are at least notionally interoperable) but because the embedded knowledge of how the firm uses the tool isn’t portable. The vendors with the largest installed bases extract a compounding advantage from this every year. New entrants have to either work around the incumbent (build plug-ins) or accept that they will only ever serve the firms whose existing ecosystem is small enough to abandon.

The same dynamic applies, with different specifics, to the cost and schedule layer. The dominant programme management products have over forty years of accumulated trust capital with public-sector clients, government agencies, and the kind of major-projects environments where contractual disputes are settled by reference to the schedule of record. The barrier to a new entrant is not the software’s capability — modern challengers can match the feature set — but the institutional memory that makes a particular product the assumed standard in litigation, audit, and procurement contexts. That kind of moat takes a generation to build. Nobody is building one currently.

Table I — Consolidation Status by Stack Layer
Layer	Concentration	Reality
BIM Authoring	Heavily Consolidated	Two vendors hold the bulk of installed seats; switching cost is the embedded knowledge, not the file format
Project Programme & Cost	Heavily Consolidated	Forty-year incumbents with deep public-sector trust capital; new entrants struggle on credibility, not features
Connected Data Environments	Consolidating	Three or four major platforms emerging; most owned by the same parents as the BIM tools above
Structural & MEP Analysis	Concentrated by Discipline	One or two leaders per discipline; specialist tools persist where the discipline is unusual
Reality Capture & Survey	Mixed	Hardware (drones, scanners) is fragmenting; software for processing is consolidating
Field & Site Execution	Fragmented	Hundreds of regional and specialty tools; bundling pressure increasing
Modular & Off-Site Software	Fragmented	Highly verticalised by manufacturing partner; few cross-supplier standards yet
Embodied Carbon Tooling	Fragmenting Fast	Plug-in market exploding; consolidation likely in 24–36 months
Generative Design (MEP, layout)	Emerging	Mostly startup-led; expect acquisitions by BIM-authoring incumbents
AI Infrastructure (cloud, inference)	Heavily Consolidated	Three hyperscalers underneath almost everything; construction-tech firms route AI compute through them

Reading: where consolidation is heavy, the buyer’s choice is between ecosystems, not features. Where fragmentation is high, the buyer is choosing for specific capability and accepting integration overhead.

§ 03 · Fragmented Layers

Where the long tail still rewards the careful buyer.

The fragmented layers are where the interesting decisions sit, because the buyer’s choice actually matters. Field and site execution software is the clearest example. Hundreds of vendors compete in this space — daily reports, snag lists, RFIs, photographic logs, safety inspections, materials tracking, time and attendance. Each one tends to be very good at the specific use case it grew up around, and noticeably worse at everything adjacent. The result is a procurement environment where the right answer for a specialist civils contractor is genuinely different from the right answer for a high-rise residential developer is genuinely different from the right answer for a bespoke self-build. There is no transitive ranking. There are correct matches for the project profile.

Embodied carbon assessment is the fastest-moving fragmented layer in 2026, and the one most likely to consolidate in the next two to three years. The category exploded into existence on the back of regulatory pressure. Public-sector clients in the UK, EU, and Nordic markets are increasingly making whole-life carbon disclosure a tender requirement. The result has been a Cambrian period of plug-in tools, each tied to a particular BIM authoring environment, each with its own material database and methodology. The buyer’s problem is that these tools produce subtly different numbers from the same model — methodology choices on transport assumptions, end-of-life assumptions, and biogenic carbon accounting can move the headline figure by 15 to 30 percent. The next phase will be standardisation pressure, almost certainly led by regulators rather than by the market.

Generative design is the third fragmented layer worth flagging. Most of the credible generative design tools today are startup-led products, often built by ex-academic teams or research-spin-out groups. They are interesting precisely because they are doing the kind of bet that mature incumbents are structurally bad at — making the design tool itself opinionated, in ways that change the workflow rather than just optimise it. The realistic forward path is acquisition. The major BIM authoring platforms have been buying generative design startups steadily for the last four years, and that pattern is likely to accelerate as the technology matures. The fragmented layer of 2026 is plausibly the consolidated layer of 2029.

In a fragmented market, the buyer’s job is to choose well. In a consolidated market, the buyer’s job is to choose carefully — because once they’re inside an ecosystem, the cost of getting back out is enormous and growing.

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§ 04 · How To Read A Vendor’s Story

Five questions that tell you more than any sales deck.

Construction technology vendor pitches are remarkably similar to each other. Almost all of them claim some combination of: improved productivity (usually a number between 20 and 50 percent), reduced rework (also a number between 20 and 50 percent), seamless integration with your existing tools, AI-powered something, and a track record on a list of impressive projects. The numbers are mostly real, the integration claims are mostly aspirational, and the AI claims need to be unpacked carefully. The trade press, including the rank-list articles, generally repeats these claims rather than testing them. A serious buyer needs better questions.

The first question is about the data ownership boundary. Where does the data live, who owns it under the contract, and what happens to it on termination? Construction projects produce some of the most valuable longitudinal datasets a firm will ever generate — cost data per building element, productivity per trade per region, snag patterns by detail type. If the vendor’s contract treats that data as theirs to use for product improvement (or, worse, to syndicate to other clients in anonymised form), the firm is paying for the software twice: once in licence fees, and once in the data they are giving away. This is increasingly being negotiated explicitly in mid-market contracts; it almost never used to be.

The second question is about the AI infrastructure. When the vendor says their product uses AI, the operationally important question is whether they are running their own models, fine-tuned on construction-specific data, or whether they are wrapping a generic large language model with a system prompt and reselling it. The two are dramatically different things in terms of accuracy, reliability, and unit economics. Vendors who run their own infrastructure typically have view into their compute cost and can sustain pricing through usage spikes. Vendors who wrap a third-party model are exposed to that provider’s pricing decisions and rate limits in ways the customer often only learns about during a busy quarter.

The third question is about integration honesty. Every construction technology product ships with a list of “integrations” on its marketing site. The buyer’s question is whether those integrations are real production-grade APIs that synchronise data bidirectionally in close to real time, or whether they are CSV exports dressed up to look like integration. The difference matters operationally on every working day of the project. The honest test is to ask the vendor for a reference customer who is using the integration in production and to ask that customer how much manual reconciliation they still do each month.

The fourth question is about the renewal economics. Construction technology contracts are typically multi-year with annual price escalation built in. The interesting clauses are usually in the schedule, not the body. What does the contract say about price increases on renewal? What does it say about per-seat or per-project pricing if the firm grows or shrinks? What does it say about what happens to historical project data if the firm switches off a module? These are the clauses that turn a reasonable initial deal into a painful three-year commitment. Mid-market firms in particular tend to under-negotiate this part because procurement teams are focused on the headline price.

The fifth question is the simplest and the most overlooked: which of your competitors uses this product, and on what kinds of project, and what do they say when you ask them privately? Construction technology procurement is unusually transparent in this respect. The industry is small, peer relationships are durable, and most senior practitioners are willing to give a candid view of their tooling stack to a non-competitive peer. A single off-the-record conversation with a peer who has used the product in production for two years is worth more than any case study in the vendor’s deck.

Table II — The Five Questions That Read A Construction Tech Vendor
Question	What You’re Actually Testing	Red Flag Answer
Who owns the data?	Whether you’ll be paying twice for the product	“We own it but you can request a copy”
What’s the AI built on?	Whether the AI is real or a generic model wrapper	Vague answers about “proprietary AI technology”
How real are the integrations?	Whether you’ll be doing manual reconciliation forever	Long marketing list, no production reference customer
What happens at renewal?	Whether the second-year price will be a surprise	“Standard market increase” with no contractual cap
Who else uses it (privately)?	What the actual user community says off the record	Only published case studies, no peer reference

The five questions don’t substitute for technical evaluation. They surface the structural risks that technical evaluation alone tends to miss.

§ 05 · The Infrastructure Layer

What sits underneath every construction technology vendor on this list.

A useful piece of due diligence that almost never appears in trade-press rankings is the infrastructure layer underneath the vendor. Every cloud-hosted construction technology product runs on one of the three hyperscalers — AWS, Azure, or Google Cloud — and increasingly on AI inference services from one of half a dozen specialised providers. The choices the vendor has made at that layer affect the customer experience in ways that aren’t obvious from the marketing site. Latency, reliability, regional availability, data residency, and unit cost are all downstream of those infrastructure decisions.

The 2026 wrinkle is that AI inference cost has become a meaningful operating expense for any construction tech firm running generative or analytical AI features at scale. A construction tech startup serving a few hundred enterprise customers with embedded AI features is now routinely spending six figures a month on AI inference alone. The economics of that have created a small but interesting market for AI cloud credit reselling, with brokers like AI Credit Mart matching buyers and sellers of unused AI compute allocations across Azure, AWS, GCP, and Anthropic. None of this shows up in the headline pricing of the construction technology product, but it is increasingly part of the actual unit economics.

The buyer-relevant implication is straightforward. A construction tech vendor whose underlying infrastructure cost is rising faster than they can pass it through to customers is a vendor whose pricing will be unstable in the medium term. The signal to look for is whether the vendor has a defensible position on infrastructure cost — whether through their own model training, through favourable hyperscaler agreements, or through credit-recovery practices that keep their effective compute cost below the rack rate. None of this is asked in trade-press rankings. All of it matters to the renewal economics two years out.

§ 06 · What The Trade Press Misses

Three things that don’t show up in vendor rankings.

The first is the modular construction software ecosystem, which is structurally separate from the mainstream construction technology market and almost entirely absent from the standard rankings. The Nordic and central European modular suppliers — particularly the Swedish, Finnish, and Austrian volumetric and panelised manufacturers — have built proprietary software stacks for design configuration, factory production planning, and on-site assembly tracking that are deeply integrated with their physical manufacturing. From the buyer’s perspective, choosing a modular supplier means committing to that supplier’s software ecosystem, often without realising it. None of this software is licensable as a standalone product. The competitive dynamics are completely different from the standard construction tech market, and they do not show up on any list ranking.

The second is the regional pattern. The construction technology market looks dramatically different in the UK, the US, the Nordics, and the Gulf, even when the same brand-name vendors appear in all four. Adoption depths are different, customer behaviour is different, the regulatory drivers are different, and the local distribution and support ecosystems are different. A product that is the de facto standard in California is sometimes barely present in Greater Manchester, and the reverse is also true. International rankings flatten that distinction in ways that are misleading for any buyer making a regional procurement decision. The local knowledge matters; the global ranking generally doesn’t.

The third is the workflow specificity. The construction technology product that is genuinely best for a specialist medical-facility builder is essentially never the construction technology product that is genuinely best for a high-volume residential developer is essentially never the product that is best for a self-build family. The use cases are different enough that the ranking question doesn’t really compute. The right framework is matching, not ranking. A buyer who arrives at this market with the question “what is the best product?” has already framed their procurement wrong. The better question is: “what is the right product for the type of project I am running, the size of firm I am working in, and the existing data ecosystem I am already inside?”

§ 07 · The Near-Future

Four shifts likely to reshape the vendor landscape by 2028.

The first shift is the acceleration of acquisition activity at the BIM authoring layer. The major incumbents have been buying their way into adjacencies for fifteen years, and the pace is increasing. Expect to see continued acquisition of generative design startups, embodied carbon assessment specialists, AI-assisted coordination tools, and supply chain integration platforms. The strategic logic is straightforward: anything that adds value on top of the BIM authoring layer is, structurally, a feature the BIM platform should own. The acquisitions will continue until the major incumbents own roughly all of the adjacent functionality. This is good news for the founders selling and complicated news for the customers receiving forced product migrations.

The second shift is the growing tension between general-purpose AI and construction-specific AI. The current moment favours general-purpose generative AI products that have been adapted for construction use cases through clever prompting and reasonable training-data extension. The next phase will favour vendors that have invested in genuinely construction-specific model training — on coordination patterns, material specifications, building code databases, project cost histories — producing accuracy that the general-purpose models cannot match. That is a more capital-intensive bet, and not all of the well-funded vendors are credibly making it. Expect a clearer separation between the two camps over the next twenty-four months.

The third shift is the regulatory standardisation of embodied carbon methodology. The current fragmentation of carbon assessment tools is unstable. Different methodologies producing different headline numbers from the same model is not something the regulatory environment will tolerate in the long term. Expect a forcing event — almost certainly a regulator-led move toward a standard methodology — that will collapse the current multi-vendor landscape into a small number of compliant tools. The vendors who are positioned for that consolidation are not always the ones with the most polished current product.

The fourth shift is the slow disappearance of the “construction tech vendor” category as a distinct identity. As the layers consolidate and the incumbents acquire their adjacencies, the meaningful unit of analysis will increasingly be the construction technology ecosystem rather than the individual vendor. By 2028 the question will not be “which vendors do you use?” but “which ecosystem are you committed to, and how cleanly does it integrate with the supply chain you are buying from?”. The list-of-vendors framing will look quaint in retrospect. The market will still exist; it will just have changed shape underneath the trade-press rankings that are still, in 2026, structured as if it hadn’t.

— Reader Questions —

Twenty questions, answered plainly.

Why doesn’t this article rank the top construction technology companies?

Because the rank-list format is structurally misleading for this market. Tools that do completely different jobs end up stacked against each other. The criteria are usually undisclosed. The implied transitivity — that a number-three product is in any meaningful sense better than a number-four — just isn’t a thing in a market where the right product depends on project profile, firm size, and existing data ecosystem. A map is more useful than a ranking.

Which layer of the construction technology stack should a firm prioritise?

Almost always the design and coordination layer first — BIM authoring, connected data environment, coordination automation. That layer is the spine of the project information ecosystem; getting it wrong cascades downward into every other layer. Field execution tools, cost tools, and supply chain tools all add value, but the value is multiplied or divided by the quality of the design and coordination layer they are connected to.

What is a Connected Data Environment?

A CDE is a single, version-controlled, permission-managed information repository where models, drawings, contracts, costs, schedules, and field data sit in one connected system. Most major BIM platforms now ship with a CDE product or partner with one. UK and EU public-sector clients increasingly require ISO 19650 compliance as a tender prequalifier, which makes a properly implemented CDE a baseline expectation rather than a differentiator.

Are construction technology companies actually consolidating?

In some layers, very heavily. BIM authoring and project programming are dominated by a handful of incumbents with forty-year track records. Connected data environments are consolidating fast around three or four major platforms. Field execution tools and modular construction software remain fragmented, often by region and project type. Embodied carbon and generative design are fragmented now and likely to consolidate over the next two to three years.

What’s the biggest mistake firms make when buying construction technology?

Optimising for headline price instead of total cost of ownership. The expensive parts of construction technology are rarely the licence fees. They are: the data ownership terms, the realistic-versus-aspirational integration claims, the unstated AI infrastructure cost exposure, the renewal escalation clauses, and the operational discipline required to keep the system useful. Procurement teams who treat the contract as a commodity-purchase exercise consistently end up paying more in years two and three than they saved in year one.

Is BIM software really dominated by just a couple of vendors?

In the bulk of the market, yes. Two vendors hold the majority of installed seats globally. There are credible alternatives, particularly in specific disciplines and regions, but the dominant position of the incumbents is reinforced every year by the embedded knowledge that practices accumulate inside their chosen environment. Switching cost is real and rising. New entrants in this space tend to compete by being plug-ins for the incumbents, not by replacing them.

How do I evaluate construction tech AI claims honestly?

By distinguishing between vendors who run their own purpose-trained AI infrastructure and vendors who wrap a generic large language model with a system prompt. The former typically have meaningful accuracy advantages on construction-specific tasks and more stable unit economics. The latter are exposed to the underlying provider’s pricing and rate limits in ways that often only become visible during a busy quarter. Vague answers about “proprietary AI technology” are a red flag.

What does ISO 19650 mean in practice?

It is the international standard for information management on construction projects, defining how project data is structured, exchanged, version-controlled, and audited across a Connected Data Environment. UK and EU public-sector clients increasingly make ISO 19650 compliance a tender prequalifier. The practical effect is that any firm wanting to bid on government-funded work needs a CDE-based information management discipline that complies with the standard.

Is generative design actually being used on real projects?

Yes, in narrow domains. MEP routing on data centre and pharmaceutical projects, structural framing optimisation on repetitive building types, and modular configurator tools for self-build clients are the three places where generative design is producing usable, buildable outputs in 2026. Architectural concept design and masterplanning remain too qualitatively constrained for the algorithms to produce anything that ends up on a construction set.

Why should I care about who owns my construction project data?

Because that data is one of the most valuable assets a construction firm produces. Cost-per-element, productivity-per-trade-per-region, snag patterns by detail type — these are competitive advantages that compound over years. If the vendor’s contract treats that data as theirs to use for product improvement or to syndicate to competitors in anonymised form, the firm is paying for the software twice. Negotiate this clause explicitly.

Are field execution tools any good in 2026?

Some of them, yes. The category is fragmented, with hundreds of vendors competing across daily reports, snag lists, RFIs, photographic logs, safety inspections, materials tracking, and time and attendance. Most are very good at their original use case and noticeably worse at adjacent ones. The bundling pressure is increasing as larger platforms acquire specialised tools to extend their footprint, but the long tail will probably persist for another five to seven years.

How does AI infrastructure cost affect construction tech vendor pricing?

More than is publicly discussed. A construction tech firm running embedded generative AI features at scale is typically spending six figures a month on AI inference. Vendors who haven’t found defensible positioning on that compute cost — through their own model training, hyperscaler agreements, or credit-recovery practices — are exposed to pricing instability as inference costs evolve. None of this shows up in headline pricing but it shapes renewal economics two to three years out.

What’s different about the modular construction software market?

It’s structurally separate from the mainstream construction technology market. Most modular suppliers — particularly the Swedish, Finnish, and Austrian volumetric and panelised manufacturers — have built proprietary software stacks deeply integrated with their physical manufacturing. From the buyer’s perspective, choosing a modular supplier means committing to that supplier’s software ecosystem, often without realising it. None of this software is sold as a standalone product.

Should small contractors invest in construction technology?

Yes, but selectively. The cost of mature construction technology has fallen sharply over the past five years and is firmly within mid-market reach. The actual barrier for smaller firms is rarely capital cost; it is the operational discipline to maintain clean BIM standards, structured content libraries, and disciplined naming conventions over time. Firms that get those fundamentals right extract outsized returns from new technology layers.

Will the major BIM platforms keep acquiring smaller vendors?

Almost certainly. The pace of acquisition has been increasing for a decade and shows no sign of slowing. Generative design startups, embodied carbon specialists, AI-assisted coordination tools, and supply chain integration platforms are all on the natural acquisition path. The strategic logic is clear: anything that adds value on top of the BIM authoring layer is, structurally, a feature the BIM platform should own. Customers should plan for forced product migrations during ecosystem consolidation.

What is embodied carbon assessment software?

It calculates the total carbon cost of producing the materials in a building, transporting them to site, and assembling them — as distinct from the operational carbon the building emits while in use. Most products are plug-ins for major BIM authoring environments. The category exploded into existence on regulatory pressure and is fragmenting fast. Methodology choices on transport, end-of-life, and biogenic carbon accounting can move headline figures by 15 to 30 percent for the same model.

Is robotic construction software a real market in 2026?

A small one, growing. The robots that are working on real projects today are highly specialised — layout robots, demolition robots, reinforcement-tying robots, brick-laying machines inside controlled prefabrication environments. Each has its own software stack, often proprietary to the robot manufacturer. There is no general-purpose construction robotics control software market in any meaningful sense, and probably won’t be one for several more years.

How do regional differences affect construction tech procurement?

Substantially. The market looks different in the UK, the US, the Nordics, and the Gulf, even when the same brand-name vendors appear in all four. Adoption depths, customer behaviour, regulatory drivers, and local distribution and support ecosystems all vary. A product that is the de facto standard in California can be barely present in Greater Manchester. International rankings flatten that distinction in ways that mislead any buyer making a regional procurement decision.

What’s the single best question to ask any construction tech vendor?

Probably: “Can I speak privately to a customer who has been using this product in production for two years?” Not a paid case study customer. Not a curated reference. A real customer who can be honest about what works, what doesn’t, what the integration friction is, and what surprised them at year-two renewal. A single off-the-record peer conversation is worth more than any sales deck. Construction is a small enough industry that this is usually possible to arrange.

Where does construction technology go from here?

Toward consolidation at the platform level, fragmentation at the specialist plug-in level, regulatory standardisation of embodied carbon methodology, and the slow disappearance of the “construction tech vendor” category as a distinct unit of analysis. By 2028 the meaningful question will not be “which vendors do you use?” but “which ecosystem are you committed to, and how does it integrate with the supply chain you are buying from?”. The list-of-vendors framing will look quaint. The market will have changed shape underneath the trade-press rankings still, in 2026, structured as if it hadn’t.

— Editor’s Note —

On the deliberate absence of a vendor list.

A reader who arrived at this article looking for a ranked list of construction technology vendors and a recommendation for which one to buy will leave disappointed. That was deliberate. The published rank-lists in this segment of the trade press are, in our view, more misleading than informative. They flatten a multi-layered, regional, project-profile-specific procurement decision into a numbered list with no disclosed methodology, and they are read as if the position itself contained information. We thought a structural map of the market was a more honest deliverable.

Right to Build Portal is editorially independent. We have no commercial relationship with any of the construction technology vendors that operate in any of the layers described above, and have not been paid to write or omit any company from this analysis. The framings, interpretations, and structural claims are our own. Readers planning a real construction technology procurement should treat this as a starting framework, not a substitute for the local expertise, peer references, and technical evaluation the decision actually requires.

The post Mapping the Construction Technology Vendor Landscape in 2026 appeared first on Right to Build Portal.

8 Construction Technology Trends Reshaping the Industry in 2026

RighttoBuild — Tue, 13 May 2025 07:59:00 +0000

Industry Analysis · Construction Technology · 17 min read

A close read of the construction technology stack heading into 2026 — how BIM automation, AI-assisted design, digital twins, and connected data environments are quietly rewriting how buildings actually get coordinated, financed, and delivered.

§ 01 · The Inflection Point

Construction technology has been promising productivity for thirty years. In 2026, it finally starts paying.

The history of construction technology is, until very recently, a history of disappointed expectations. Tools that promised coordination ended up producing PDFs. Software that promised collaboration ended up producing duplicate models stored on competing file servers. BIM, which promised an integrated digital twin of every building from cradle to grave, ended up producing 3D models used mainly for clash detection and then quietly abandoned at handover. None of this was the technology’s fault. It was the workflow’s fault — and the workflows around the technology have, until now, refused to change.

2026 is the year that pattern starts breaking, and the reason is structural rather than aspirational. The convergence of three forces — persistent labour scarcity, irreversible regulatory pressure on embodied carbon and energy performance, and the arrival of generative AI that is cheap enough to embed in everyday design and coordination workflows — has pushed the construction sector past a threshold where the cost of ignoring its technology stack is now higher than the cost of integrating it. The economic logic of the trade has flipped. The firms that will dominate the next ten years of construction are the ones that have already redesigned their workflows around connected data, embedded automation, and AI-assisted decisions.

This article walks through the eight construction technology trends that are most consequential for the year ahead, with particular attention to how each one changes the day-to-day reality of design teams, contractors, self-builders, and the wider construction supply chain. The framing throughout is operational rather than aspirational: which technologies are actually showing up on real projects, what they are replacing, and where the friction is going. We close with a 20-question FAQ for readers who want to use this analysis as a planning input rather than a piece of macro-trend reading.

— Construction Tech in 2026, in Five Numbers —

68%

Rate digital systems as critical

43%

Rank generative AI transformative

50%

Expect off-site dominance by 2030

10%

Self-rate as cutting-edge tech firms

18%

Of transformation spend on tech

§ 02 · Trend One

BIM automation moves from boutique to baseline.

For most of the last decade, Building Information Modelling has functioned as a documentation tool with a coordination side hustle. Models were built carefully, walked through manually, clash-tested at intervals, and then largely set aside once construction began. The expensive part was always the manual coordination: human modellers spending days reconciling structural, mechanical, electrical, and plumbing systems against each other, then doing it again every time a design change rippled through the model. The economic case for the next phase of construction technology rests almost entirely on automating that coordination work.

In 2026, BIM automation is moving from a niche capability owned by specialist consultants into a default expectation on midsize and larger projects. Rule-based validation now runs continuously inside live models rather than at scheduled review milestones, flagging routing conflicts, code violations, and design-intent breaches as they emerge. System routing for MEP services is increasingly generated and optimised by software rather than drawn manually. Repetitive coordination checks — the kind that used to absorb 30 to 40 percent of a senior modeller’s week — are being delegated to logic embedded directly inside the modelling environment. The shift is not yet universal, but it is universal in direction.

The implication for design teams is significant. The bottleneck on coordination quality used to be the experience and concentration of individual modellers. With automation, the bottleneck shifts to the quality of the rules themselves — the firm-level libraries of validation logic, naming conventions, and routing standards that determine what good coordination looks like. Firms that have invested in those libraries over the past three years are now extracting compounding returns from them. Firms that haven’t are looking at a steeper catch-up curve than they realise.

Table I — What BIM Automation Actually Does on a 2026 Project
Capability	Replaces	Maturity
Continuous clash detection	Scheduled coordination meetings	Mature
Automated MEP routing	Manual route drafting	Maturing
Rule-based code validation	End-of-stage manual review	Maturing
Parametric content libraries	One-off custom modelling	Mature
Auto-generated drawings & schedules	Manual sheet production	Mature
Model-based quantity take-off	Manual measurement and pricing	Mature
Change-impact propagation	Manual update sweeps after RFIs	Maturing
Constructability rule-checking	Site-driven coordination defects	Emerging

Sources: practitioner observation across UK and EU mid-market design and contractor practices, 2024–2026.

§ 03 · Trend Two

AI moves upstream, from analytics to design.

For the first wave of AI adoption in construction, the centre of gravity sat downstream — analysing as-built data, summarising site reports, parsing contracts, generating safety insights. Useful work, but not the work that actually shapes a building. The 2026 shift is the migration of AI capability upstream, into the design and coordination phases where the marginal value of better decisions is dramatically higher. Identifying a high-risk routing pattern in the modelling stage costs orders of magnitude less than identifying it on site after fabrication.

The practical applications that are showing up on real projects are narrower than the marketing suggests, but they are real. AI-assisted layout tools that generate and rank multiple coordination options against constructability, clearance, and material-cost criteria. Models that flag design patterns historically associated with downstream RFIs and rework. Generative tools that produce first-draft routing solutions for MEP services and let engineers refine rather than originate. None of this is autonomous design. It is augmented design, and the time savings on routine coordination work are reported in the 30 to 50 percent range on the projects where it is being deployed seriously.

The risk is the same risk that surfaces in every adjacent profession adopting generative AI: deskilling at the junior level. If junior engineers stop drawing first-pass routings because the AI does it faster, the question becomes how the next generation of senior engineers learns the judgement that comes from that first-pass work. The firms thinking carefully about this are deliberately keeping juniors on AI-augmented loops rather than AI-replaced ones, treating the AI as a sparring partner rather than a substitute. The firms not thinking about it are quietly setting up a capability gap that will surface in five years.

Chart I — Where AI Is Actually Being Used in Construction (% of firms reporting active deployment)

Report & Document Generation47%

Contract Administration39%

Risk Monitoring & Schedule43%

AI on more than 50% of projects24%

Sustainability Assessment17%

Sources: KPMG Global Construction Survey 2025/2026; practitioner observation. Adoption is highest in document and contract workflows where the value is captured fastest, and lowest in domains that require extensive structured data foundations.

§ 04 · Trend Three

Digital twins escape the FM department.

Digital twins have spent the last decade trapped in the facilities-management end of the building lifecycle. The promise was always grand: a living, sensor-fed digital replica of every asset, used by operators to predict failures, optimise energy, and plan maintenance. The reality, on most projects, was a static handover model in IFC format that nobody touched after the day the building opened. The twin existed in the deliverables list and almost nowhere else.

In 2026, the centre of gravity is shifting. Digital twins are moving back upstream into design and delivery, where the data they carry is actually being used to make decisions during the project, not just queried after it. Linking BIM data to real-world constraints — manufacturer specifications, supply chain availability, on-site sensor data from prior projects — lets teams simulate system behaviour before installation, test design changes against operational impact in hours rather than weeks, and maintain a meaningful link between design intent and as-built reality. The model becomes a living asset, not a static deliverable.

For self-builders and custom build clients, the implication is concrete. The same digital twin technology that operators use to track HVAC performance over a building’s lifetime can be used during design to model the actual energy performance of a self-build before the foundation is poured. Passivhaus performance modelling, embodied carbon assessment, and lifecycle cost analysis are all now routinely run inside the same connected model that produces the construction drawings. The technical capability to design a properly performing low-energy home no longer requires specialist consultancy — it is increasingly embedded in the standard architectural workflow.

A construction technology only earns its place in a workflow if it removes more manual effort than it introduces. Most of the technologies of the last decade failed that test. The technologies of 2026 are starting to pass it.

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§ 05 · Trend Four

Connected data environments replace siloed file servers.

The unglamorous truth about most construction projects in 2024 was that they ran on email attachments and FTP servers. Drawings were issued as PDFs. Models were exchanged as bloated IFC files. Cost data lived in Excel. Schedule data lived in Primavera. Site quality assurance data lived in field-team apps that didn’t talk to anything else. The result was a project information ecosystem that consumed enormous coordination effort just to keep the data sets consistent with each other — effort that produced no construction value at all.

Connected data environments — CDEs, in the trade vocabulary — are the structural fix. A CDE is a single, version-controlled, permission-managed information repository where models, drawings, contracts, costs, schedules, and field data sit in one connected system. The major construction software platforms have spent the last five years building toward this; the work of vendors like Trimble on connected construction platforms is illustrative of where the major players are positioning themselves. The 2026 inflection is that CDEs are becoming the default expectation on public-sector projects in the UK and EU, with mandates around BIM Level 2 and ISO 19650 information management already operational and expanding.

For mid-market firms, the operational implication is twofold. The cost of not running a CDE is rising, because public-sector clients increasingly require ISO 19650 compliance as a tender prequalifier. At the same time, the cost of running a CDE has fallen sharply, because cloud-hosted CDE products from the major construction software vendors have moved from enterprise-only pricing to mid-market subscription tiers. The result is a wave of smaller and mid-market firms standing up CDEs for the first time in 2026, with most of the rollout pain showing up in change management rather than technology selection.

§ 06 · Trend Five

Generative design enters daily workflows, not just pitch decks.

Generative design has been a presentation slide in architectural firms for the better part of fifteen years. Algorithms that generate hundreds of layout options against a brief of constraints, ranked by floor efficiency or daylight performance, made for compelling demos. They rarely produced anything that ended up on a real construction set. The 2026 shift is that generative design is, finally, producing usable outputs — not in masterplanning or architectural concept design, where the constraint set is too qualitative, but in MEP routing, structural framing, and layout optimisation, where the constraints are precise enough that the algorithm can produce a buildable answer.

The practical workflow looks like this: an engineer specifies the design parameters — clearance requirements, accessibility constraints, material budget, performance targets — and the generative tool returns a ranked set of compliant solutions. The engineer reviews the top candidates, modifies the constraint set if none of them is satisfactory, and iterates. The work moves from designing once to designing intelligently, with the human staying firmly in the loop on judgement while the algorithm handles the combinatorics. On data centre and pharmaceutical projects, where MEP density is extreme and conflict resolution is expensive, generative routing is already producing measurable schedule savings.

For self-build and custom build, generative design is starting to show up in modular configurator tools. Several of the established UK and Nordic modular suppliers now offer online tools that let custom-build clients specify a brief — bedroom count, plot dimensions, performance target, budget envelope — and receive a ranked set of buildable configurations within minutes. These are not bespoke designs, but they are dramatically faster than the traditional architectural sketching cycle, and they significantly reduce the design fees on the kind of mid-budget self-build where bespoke architecture would otherwise consume a disproportionate share of the construction budget.

Table II — The Construction Tech Stack: 2026 Maturity Map
Technology Category	2026 Status	Where Value Sits
BIM authoring	Mature	Quality of internal libraries and standards
BIM automation & clash	Maturing	Workflow integration, not licensing
AI-assisted design	Emerging	Narrow domains: MEP, structural, layout
Connected Data Environments	Maturing	Compliance, tender qualification
Digital twins (delivery)	Emerging	Performance modelling, change impact
Digital twins (FM)	Maturing	Operational cost reduction
Generative design	Emerging	MEP routing, modular configuration
Site IoT & sensors	Selective	Safety, progress monitoring
Robotics & automation	Selective	Specific tasks: layout, demolition, brick
Drones & reality capture	Mature	Survey, progress reporting, QA

Sources: practitioner observation across UK/EU mid-market construction; KPMG Global Construction Survey 2025/2026 maturity data.

§ 07 · Trend Six

Robotics on site: narrower, more specialised, more real.

The popular discussion of construction robotics has been swallowed by visions of autonomous bricklaying robots and humanoid site labourers. The reality is narrower, more specialised, and on the projects where it is showing up, considerably more useful. Layout robots that print MEP coordinates onto site floors with millimetre accuracy. Demolition robots that strip out interiors of high-rise refurbishment projects without exposing humans to the dust and falling debris. Reinforcement-tying robots that handle the most repetitive and physically punishing element of cast-in-place concrete work. Brick-laying machines that operate inside controlled prefabrication environments rather than on open sites.

The pattern is clear: robotics is winning on tasks that are highly repetitive, physically hazardous, or geometrically precise — not on tasks that require situational judgement. The economics work where the human alternative is expensive, in short supply, or genuinely dangerous. They do not yet work on the long tail of trade work that requires reading a site situation and adapting in real time. That is unlikely to change quickly. The interesting trend in 2026 is not the arrival of general-purpose construction robots; it is the steady accumulation of narrow, task-specific robots that, taken together, are starting to remove meaningful pockets of labour from the construction sequence.

For self-builders, robotics will mostly remain invisible — the deployment cost is not justified at single-dwelling scale. But the indirect effect matters. Modular suppliers are increasingly using robotic systems inside their factories, and the productivity gains they generate are part of why factory-built homes are now consistently cost-competitive with traditional masonry on the right project profiles. The robot is in the supply chain, even when it is not on the site.

§ 08 · Trend Seven

Embodied carbon tooling moves from optional to mandatory.

Sustainability technology in construction has split cleanly into two camps. The first is operational energy modelling — how a building performs once it is occupied — which has been a mature discipline for over a decade and is increasingly automated inside standard BIM workflows. The second is embodied carbon assessment — the carbon cost of producing the materials, transporting them, and assembling the building — which has historically been a specialist consultancy service performed late in the design process, after most of the major decisions have already been made.

2026 is the year embodied carbon tooling moves to the front of the design process. Plug-ins for the major BIM authoring tools now run continuous embodied carbon calculations as the model develops, flagging high-impact specification choices before they get fixed. Public-sector clients in the UK, EU, and Nordics are increasingly making whole-life carbon assessment a tender requirement rather than a nice-to-have. The economic logic is the regulatory logic: in jurisdictions where carbon-intensity reporting is becoming mandatory for buildings above certain size thresholds, the cost of running the assessment late and discovering you have failed it is materially larger than the cost of running it early.

For self-builders, embodied carbon assessment is moving from voluntary to expected. Custom build mortgage products in some markets are starting to differentiate pricing based on embodied carbon performance. Local planning authorities are increasingly asking for whole-life carbon statements at planning submission stage. The technology to run these assessments is now sufficiently embedded in standard architectural workflow that the marginal cost of producing one is small — provided the design team has already invested in setting up the tools properly. Practices that have not are scrambling.

§ 09 · Trend Eight

Supply chain digitisation, from PDF to API.

The construction supply chain has been the slowest to digitise of any major link in the project ecosystem. Procurement still routinely runs on spreadsheets and email. Specifications are still routinely PDFs. Material certifications still routinely arrive as scanned attachments. The result is that even on technically sophisticated projects, the connection between the model and the actual material flowing onto site is held together with manual data re-entry. Three quarters of executives surveyed by KPMG describe their supply chains as exposed to elevated risk; supply chain digitisation is one of the fastest-rising priorities in the industry’s transformation budgets.

The 2026 trajectory is clear in direction even if the rollout will take years. The major suppliers of structural steel, concrete, and engineered timber products are moving toward API-based product data feeds where their full catalogue, with current pricing and lead times, is queryable directly from the design model. Material certifications and chain-of-custody documentation are migrating to digital formats. Carbon-intensity data per unit of material is being attached to product records. The end-state is a supply chain where the BIM model and the procurement system speak the same data language, and the manual reconciliation work that consumes such a large share of project administration cost simply disappears.

The Nordic supply chain is, again, ahead of the curve here. The combination of mature digital infrastructure across Sweden, Finland, Denmark, and Norway, and the long-standing dominance of engineered timber and modular construction in those markets, has produced a regional supply ecosystem where API-based ordering and live carbon-data integration are already standard for the larger modular suppliers. UK and Irish modular projects increasingly procure from those Nordic suppliers, which has the indirect effect of importing some of that digital sophistication into the UK construction supply chain. Stockholm-based accounting practices like Sveago report a steady uptick in cross-border invoicing and VAT-reclaim work for UK-bound modular shipments — a quiet indicator of how the supply geography is rewriting itself.

§ 10 · What It Means

Three implications for the firms paying attention.

The first implication is that the cost of bad data is now accelerating. Every one of the trends covered above — BIM automation, AI-assisted design, digital twins, CDEs, generative design, supply chain digitisation, embodied carbon assessment — depends on the underlying project data being clean, consistent, and connected. Firms with well-maintained BIM standards, clean parametric content libraries, and disciplined naming conventions are extracting compounding returns from each new technology layer they bolt on. Firms whose data is fragmented across versions, formats, and file servers are getting compounding penalties. The data-quality dividend is real, and it is widening.

The second implication is that the AI infrastructure layer underneath the construction tech stack is becoming an operational line item. As more practices move generative AI deployments from pilot to production, the cloud and inference costs of running these models start to matter. Construction tech startups burning through cloud allocations have begun routing surplus AI compute through brokers like AI Credit Mart, illustrating how plumbing-level infrastructure economics now have direct impact on construction technology unit costs. For mid-market practices, this matters less individually and more collectively: the marginal cost of running an AI-augmented design workflow is meaningfully lower in 2026 than it was in 2024, and that decline is being driven as much by infrastructure economics as by model quality.

The third implication is the most consequential for self-builders, custom build clients, and small-to-mid-sized contractors. The construction technology stack is converging on a default expectation: BIM-authored design with embedded carbon assessment, supplied through a CDE, coordinated using rule-based automation, manufactured off-site where possible, and tracked through delivery against a connected data environment. None of this is optional infrastructure for projects in the public sector or large-scale residential development. It is rapidly becoming the default expectation for any project that wants to qualify for institutional financing or competitive tendering. The practices and contractors that are good at delivering inside this stack will be the ones worth waiting for. The ones that aren’t will quietly find themselves outside the qualified bidder pool.

— Reader Questions —

Twenty questions, answered plainly.

What are the biggest construction technology trends for 2026?

The eight that matter most are BIM automation moving from boutique to baseline, AI moving upstream from analytics into design, digital twins becoming delivery-stage tools rather than facilities-management afterthoughts, connected data environments replacing siloed file servers, generative design entering daily MEP and modular workflows, narrow-task site robotics, embodied carbon tooling moving from optional to mandatory, and supply chain digitisation finally becoming real. The common thread is that each one removes manual coordination effort from a workflow.

What is BIM automation?

BIM automation refers to the use of rule-based and AI-assisted logic embedded directly inside Building Information Modelling environments to handle work that has historically been manual: clash detection, code validation, MEP routing, drawing production, and quantity take-off. The shift in 2026 is from automation as a niche capability owned by specialist consultants to automation as a default expectation on midsize and larger projects.

How is AI being used in construction design in 2026?

AI is moving upstream from post-construction analytics into the design and coordination phases. Practical applications include AI-assisted layout generation, identification of design patterns historically associated with downstream rework, generative routing for MEP services, and constructability assessment of design options. None of this is autonomous design — it is augmented design, with the human firmly in the loop on judgement and the AI handling the combinatorics.

What is a Connected Data Environment (CDE)?

A CDE is a single, version-controlled, permission-managed information repository where models, drawings, contracts, costs, schedules, and field data sit in one connected system. CDEs are becoming the default expectation on UK and EU public-sector projects under ISO 19650 information management standards, and the major construction software vendors have spent the last five years building toward this architecture.

What is a digital twin in construction?

A digital twin is a continuously updated digital replica of a building, asset, or system that links design data with real-world performance data. The 2026 trend is digital twins moving from facilities-management afterthoughts — static IFC models handed over and ignored — into delivery-stage tools used during design and construction to simulate system behaviour, test changes, and maintain alignment between design intent and execution.

Will AI replace BIM modellers and design engineers?

Not in 2026, and probably not before 2030. The technology is removing certain routine tasks — first-pass MEP routing, repetitive coordination checks, drawing production — but the work that requires situational judgement, client communication, regulatory navigation, and design synthesis remains firmly human. The risk is junior-level deskilling: if first-pass work is delegated to AI, the next generation of senior engineers needs a different way to learn the judgement that comes from doing it.

How does construction technology actually save money?

Three main ways: by reducing rework caused by late design changes (typically the single largest source of project cost overrun), by compressing programme times through earlier and tighter coordination, and by reducing the manual labour content of repetitive tasks like clash detection, drawing production, and quantity take-off. The savings vary by project type but typically range from 5 to 15 percent of total construction cost on well-instrumented projects.

What is generative design and where does it work?

Generative design uses algorithms to produce and rank multiple design options against a defined constraint set. It works well in domains where the constraints are precise and the optimisation criteria are quantifiable — MEP routing, structural framing, modular configurator tools for self-build, layout optimisation in repetitive building types. It works less well in masterplanning and architectural concept design, where the constraint set is too qualitative for the algorithm to produce a buildable answer.

Are construction robots actually being used on real sites?

Yes, but narrowly. The robots that are working in 2026 are highly specialised: layout robots that print MEP coordinates onto floors, demolition robots that strip out interiors, reinforcement-tying robots, and brick-laying machines inside controlled prefabrication environments. General-purpose autonomous site robots remain a research project. The economics work where the human alternative is expensive, scarce, or hazardous — not on the long tail of trade work that requires real-time site judgement.

What is embodied carbon and why does it matter?

Embodied carbon is the total carbon cost of producing the materials in a building, transporting them to site, and assembling them into the finished structure — as distinct from operational carbon, which is what the building emits while it is in use. Embodied carbon assessment is moving from optional consultancy work to mandatory tender and planning requirement in the UK, EU, and Nordic markets, with significant implications for material specification choices and design decisions made early in a project.

How does construction technology affect self-builders specifically?

In several practical ways. Performance modelling tools that used to require specialist consultancy are now embedded in standard architectural workflow. Modular configurator tools let custom-build clients explore buildable options far faster than traditional architectural sketching. Embodied carbon assessment is starting to affect mortgage pricing in some markets. Off-site manufactured systems are increasingly cost-competitive with traditional masonry construction, partly because of the productivity gains in factory robotics. The tools that used to be enterprise-only are increasingly accessible at single-dwelling scale.

Which construction software vendors are leading in 2026?

The major established platforms continue to dominate, with the differentiation increasingly happening at the integration layer rather than the authoring tool layer. Connected construction platforms from vendors like Trimble, Autodesk, Bentley, and Nemetschek anchor the enterprise market; specialist tools for embodied carbon, generative design, and AI-assisted coordination are increasingly built as plug-ins to those platforms rather than standalone applications. The lock-in is moving from file format to data ecosystem.

What is ISO 19650 and why does it matter for construction technology?

ISO 19650 is the international standard for information management on construction projects. It defines the rules for how project data is structured, exchanged, and version-controlled across a Connected Data Environment. UK public-sector clients increasingly require ISO 19650 compliance as a tender prequalifier, which means that the cost of not running a properly structured CDE is rising for any firm that wants to bid on government-funded work.

How much should a mid-market firm budget for construction technology in 2026?

KPMG’s 2025/2026 data puts construction firms allocating roughly 18 percent of their total transformation spend to technology and data solutions, second only to people-related investment at 21 percent. As a share of revenue for a healthy mid-market construction firm, technology spend in the 1.5 to 3 percent range is now common; firms that have under-invested historically are running 4 to 6 percent during catch-up phases.

Are smaller firms competitive on construction technology, or is it Big-Four-only?

Smaller firms are increasingly competitive. The cost of mature construction technology — BIM authoring, CDEs, embodied carbon plug-ins, AI-assisted design tools — has fallen sharply over the past five years and is now firmly within mid-market reach. The actual barrier for smaller firms is rarely capital cost; it is the operational discipline to maintain clean BIM standards, structured content libraries, and disciplined naming conventions over time. Firms that get those fundamentals right are extracting outsized returns from new technology layers.

What construction tech mistakes do firms make most often?

Three patterns recur. Buying a tool without first cleaning up the underlying data foundation, then being disappointed when the outputs are unreliable. Trying to roll out new technology firmwide at once without a single well-run pilot to validate the workflow. Failing to train the team properly, so partners end up with junior staff producing AI-generated outputs they cannot review. The barriers are almost never the technology itself; they are operational, and they are largely solvable with discipline rather than budget.

Where do AI compute costs fit into construction technology budgeting?

As construction tech firms move generative AI deployments from pilot to production, cloud and inference costs become a real operational line item. AI workloads run on Azure, AWS, GCP, or Anthropic infrastructure, and the unit economics matter when models run continuously inside design environments. Some construction tech startups recover unused AI cloud credits through brokers to manage these costs more efficiently — an indicator of how plumbing-level infrastructure economics are now part of the construction technology cost stack.

Will modular construction become standard?

By 2030, very likely yes — in most developed markets and across most building typologies. KPMG’s 2025/2026 survey reports that 50 percent of construction executives expect off-site manufacturing to be standard within five years, up from 18 percent who consider it standard today. The technology trends covered above — BIM automation, generative design, supply chain digitisation, factory robotics — all materially favour off-site manufactured construction over in-situ assembly.

What should self-builders ask their architect about construction technology?

Three useful questions. Whether the practice authors in BIM and exports drawings from a coordinated model, or works in 2D and uses BIM only for selected deliverables. Whether the practice has integrated embodied carbon assessment into its standard design workflow, or treats it as a separate consultancy stage. Whether the practice has experience designing for off-site manufactured construction, or only for traditional in-situ trades. The answers to those three questions tell you a great deal about how prepared the practice is for the next five years of self-build delivery.

What’s the single most important shift to understand?

The shift from technology as bolt-on tooling to technology as embedded workflow. For thirty years, construction technology was something you bought, deployed, and trained people on. In 2026, the most consequential technology is the technology you no longer notice — the rule-based logic embedded inside the BIM model, the AI assistant inside the design tool, the API connection between the model and the supplier catalogue. The headline trend is not any single tool. It is that the work itself has been redesigned around the tools, and the firms that have done that redesign are pulling ahead.

— Editor’s Note —

On methodology and editorial independence.

This analysis draws on practitioner observation across UK, Irish, and Nordic mid-market construction practices between 2024 and 2026, supplemented by industry data from the KPMG Global Construction Survey 2025/2026 and the Royal Institute of British Architects’ annual technology surveys. Specific software vendors and platforms are referenced where the example is illustrative; the choice of which to mention does not reflect any commercial endorsement.

Right to Build Portal is editorially independent of all the construction technology vendors, design practices, contractors, modular suppliers, and consulting firms referenced in this analysis. We have no commercial relationship with any of them. The interpretations, framings, and self-build market commentary are our own, and any errors in the reading should be attributed to us rather than to the underlying sources.

The post 8 Construction Technology Trends Reshaping the Industry in 2026 appeared first on Right to Build Portal.

Global Construction Survey 2026: The Risk Delta Explained

RighttoBuild — Sun, 02 Feb 2025 07:47:00 +0000

Industry Analysis · Construction Technology · 16 min read

A close reading of KPMG’s 2025/2026 Global Construction Survey — the data behind rising optimism, hardening risk aversion, and the urgent transformation agenda now reshaping the construction sector across people, technology, and delivery models.

§ 01 · The Headline

The construction sector is bullish on demand and bearish on risk, simultaneously.

KPMG has just published the 15th edition of its Global Construction Survey, and the headline finding is the kind of paradox that defines difficult markets. Optimism about the construction sector is up — 71 percent of executives now express confidence in the industry’s direction, up from 66 percent in 2023. At the same time, three in four executives report that they are equally or significantly more risk averse than they were twelve months ago. The two numbers should not coexist comfortably, and yet they do, and the gap between them is what KPMG’s authors call the risk delta: the widening divergence between the risks the sector now carries and the appetite of its leaders to absorb any of them.

The 2025/2026 edition draws on responses from 375 industry leaders across construction contractors, engineering firms, project owners, manufacturers, real estate developers, and the wider supply chain, spanning North America, EMEA, APAC, and South America. Read closely, the report is less a snapshot of where the sector is and more a diagnosis of how it is responding to a structural shift it cannot avoid. Demand is rising, but the conditions under which that demand has to be served — constrained labour, fragile supply chains, sharper regulation, and the unmistakable arrival of meaningful AI in delivery workflows — have changed the risk profile of every project at the same moment they have raised the prize.

For self-builders, custom build clients, modular manufacturers, construction technology firms, and the broader ecosystem of professionals who depend on what gets built, the report offers an unusually clear read on what the next two to five years will look like. This article works through the most consequential findings, places them in the context of the UK self-build and construction technology market, and closes with a 20-question FAQ for readers who want to use the survey as a planning input rather than a piece of macro-analysis.

— The Survey, in Five Numbers —

375

Industry leaders surveyed

71%

Optimistic about the sector

75%

More risk averse than 12 months ago

82%

Increasing training spend

21%

Of transformation spend on people

§ 02 · Where Growth Is Actually Coming From

Utilities, green power, and infrastructure top the demand pyramid.

The growth narrative is not uniform across the sector, and the variation matters more than the headline number. KPMG’s data shows a clear hierarchy of demand drivers, with three subsectors decisively ahead of the rest. Water and utilities top the list at 91 percent of respondents anticipating growth, followed by green power generation and infrastructure projects, both at 89 percent. These are the categories absorbing the bulk of new public and private capital, driven by a combination of climate adaptation, energy transition, and the explosion of data centre demand — which itself drives parallel growth in the digital, energy, and water infrastructure required to support it.

Below the top tier sits a substantial second band: transport at 88 percent, warehousing and logistics at 84 percent, residential at 84 percent, and leisure and hospitality at 80 percent. The trailing categories — offices at 73 percent, fossil fuel power generation at 75 percent, retail at 73 percent — tell their own story about where the sector is no longer betting. Office construction in particular has been structurally repriced by post-pandemic remote-working patterns, and the survey confirms it has moved from a growth category to a maintenance category in most developed markets.

For UK self-builders and custom build clients, the residential figure of 84 percent is particularly relevant. Housing remains a structural growth category, but it is doing so against a backdrop where the macro contractors and developers are increasingly selective. The result is a sector that is growing in aggregate while becoming harder to access for medium-complexity bespoke work — precisely the territory most self-builds occupy.

Table I — Demand Outlook by Subsector (next 12 months)
Subsector	Anticipating Growth	Headline Driver
Water / Utilities	91%	Climate adaptation, ageing networks
Green Power Generation	89%	Energy transition, net-zero targets
Infrastructure Projects	89%	Government stimulus, modernisation
Transport	88%	Decarbonisation, urban densification
Warehousing & Logistics	84%	E-commerce, supply chain reshoring
Residential	84%	Housing shortages, demographic demand
Leisure & Hospitality	80%	Travel recovery, experiential demand
Social Housing	79%	Public funding, affordability crisis
Life Sciences	78%	R&D investment, regulatory tailwinds
Fossil Fuel Power	75%	Maintenance & transition projects
Retail	73%	Format conversion, refurb-led
Offices	73%	Retrofit-led; new-build subdued

Source: KPMG Global Construction Survey 2025/2026 (n=375).

§ 03 · Regional Variation

North America leads optimism; South America trails — narrowly.

North America leads the global outlook with 77 percent of executives optimistic about sector direction, narrowly ahead of EMEA at 76 percent, APAC at 74 percent, and South America at 71 percent. The geographic distribution is more interesting than the headline numbers suggest. North American optimism is concentrated in infrastructure modernisation and utility upgrades funded by the US infrastructure bill and parallel programmes. EMEA leads on green power and water utilities, reflecting the region’s tighter sustainability regulations. APAC shows balanced expectations across categories, signalling the continued urbanisation push and government-backed development programmes that have characterised the region for two decades.

South America’s 71 percent optimism rating is, in some ways, the most striking number in the regional breakdown. The region has the highest confidence in infrastructure projects and water utilities, alongside strong demand for transport and residential development. The pattern suggests that regional construction sentiment is increasingly decoupled from broader economic indicators, driven instead by the visible pipeline of public-sector infrastructure commitments rather than the wider business cycle.

Chart I — Optimism Index by Region (% of executives positive on sector direction)

77%

76%

74%

71%

North America

EMEA

APAC

South America

Source: KPMG Global Construction Survey 2025/2026. The narrow regional spread (just 6 percentage points) suggests that the optimism story is genuinely global, not driven by any one geography.

§ 04 · The Strategic Priorities

Four priorities, three levers, and a forced integration.

KPMG’s analysis identifies four strategic priorities that construction executives are actively pursuing: operational efficiency and profitability (75 percent rating it strategically important), market expansion and client focus (72 percent), technology and innovation (61 percent), and risk and resilience management (53 percent). What is notable is the consistency of this hierarchy across regions and firm sizes — with one important exception. Mid-sized firms in the US$500M to US$5B revenue band rate operational efficiency at 87 percent, substantially above smaller firms (71 percent) and the very largest (80 percent). The mid-market is where margin pressure is most acute and where the next wave of consolidation is most likely.

The strategic priorities map onto three operational levers that executives describe as critical for the next 12 months: workforce (76 percent rating it critical), digital systems and processes (68 percent), and innovative delivery methods (61 percent). KPMG’s framing is that these three levers must be pulled together for transformation to deliver compounding value — treating them as isolated initiatives produces only incremental gains. The companies that will dominate the next decade of construction, the report argues, are the ones that align talent strategies with digital adoption and modern delivery models simultaneously, rather than sequentially.

Sustainability sits underneath all three. 90 percent of executives report that their clients are now demanding more sustainable options, and 71 percent anticipate stricter sustainability regulation within the next 12 to 24 months. Yet only 42 percent of projects currently embed sustainable practices, and only 36 percent conduct sustainability assessments. The gap between expectation and execution is one of the largest in the survey — and it is closing primarily through regulatory pressure rather than voluntary adoption.

Table II — Strategic Priorities by Region (% rating strategically important)
Priority	N. America	S. America	EMEA	APAC
Operational efficiency & profitability	70%	87%	70%	87%
Market expansion & client focus	65%	76%	71%	64%
Technology & innovation	63%	61%	59%	49%
Risk & resilience management	62%	26%	47%	69%

Source: KPMG Global Construction Survey 2025/2026. The standout figure is South America’s 26% on risk & resilience — markedly below all other regions, suggesting either a different risk culture or differently calibrated expectations.

Companies are operating in a paradox of rising optimism and falling risk appetite. This protects margins in the near term and weakens long-term competitiveness in the same motion.

KPMG Global Construction Survey 2025/2026, paraphrased

§ 05 · Workforce

The skills crisis is now the number one constraint on output.

76 percent of construction executives describe workforce as critical to their strategic priorities — the single highest score across any operational lever in the survey. The data behind this is stark: 55 percent identify skilled labour shortages and managerial or technical capability gaps among their biggest challenges. The construction labour pipeline is constrained by three converging forces: an ageing workforce moving rapidly toward retirement, outdated skills among existing workers struggling to keep pace with digital and modular methods, and chronic difficulty retaining younger talent in an industry that competes poorly with software, finance, and other knowledge-economy sectors for digitally fluent workers.

The financial response is equally clear. 21 percent of total transformation investment is being allocated to people-related initiatives — the largest single category, marginally ahead of technology and data solutions at 18 percent, process improvements at 17 percent, and innovative construction methods at 16 percent. 82 percent of respondents plan to increase investment in employee training and development. This is a notable shift in capital allocation patterns; ten years ago, the equivalent surveys placed equipment and physical capacity well ahead of workforce as the primary investment priority. The transition to industrialised construction methods has reframed the bottleneck: the constraint is no longer the machinery, it is the people who can operate, maintain, and integrate the increasingly digital construction stack.

For UK self-builders, the labour constraint translates directly into procurement difficulty. Securing a competent main contractor for medium-complexity bespoke work is harder than it was three years ago. Lead times have stretched. The economic logic of off-site manufactured systems — closed-panel timber frame, SIPs, ICF, volumetric modules — is now consistently competitive with traditional masonry construction on cost, and decisively superior on programme and energy performance. The labour constraint is, in practice, accelerating the shift to factory-finished construction at the same time it is pricing some self-builders out of the traditional contractor market.

Chart II — Allocation of Transformation Spend (% of total investment)

People & Workforce21%

Technology & Data Solutions18%

Process Improvement17%

Innovative Construction Methods16%

Supply Chain & Partnerships15%

Sustainability Initiatives13%

Source: KPMG Global Construction Survey 2025/2026. People-related investment is now the largest single category of transformation spend — a notable shift from the equipment-led capital allocation patterns of the previous decade.

§ 06 · Technology Adoption

Strong on vision, weak on execution.

68 percent of executives consider technology and data solutions critical to their organisations — but the actual deployment numbers reveal how far behind execution remains. Less than 50 percent of respondents rate themselves as tech-mature leaders, and only 10 percent claim cutting-edge status. AI adoption is particularly uneven: 47 percent use AI for report generation, 39 percent for contract administration, but only 24 percent have deployed AI on more than 50 percent of their projects. The category sits firmly in the early-adopter phase, with most firms running pilots rather than enterprise-wide deployments.

When asked which technologies will be most transformative, executives gave a clear ranking. Data analytics and generative AI top the list at 44 percent and 43 percent respectively, followed by Building Information Modelling (BIM) at 32 percent, Integrated Project Management Information Systems at 27 percent, and prefabrication solutions at 24 percent. Robotics, drones, IoT sensors, and digital twins all feature in the conversation but trail meaningfully behind the top five. The pattern is consistent: firms have a clear view of where technology investment should go, but the gap between intention and operational reality remains wide.

The barriers are operational rather than technical. Many companies still depend on spreadsheets and disconnected scheduling or procurement tools, making data integration slow and costly. Advanced solutions like predictive analytics and AI for cost forecasting demand significant capital with ROI realised only after multiple project cycles. Site teams and project managers struggle with BIM platforms and IoT dashboards. Smaller firms, especially regional contractors and specialty trades, prioritise cash flow and immediate delivery over technology investment. The bottleneck, in other words, is not capability availability — it is operational readiness.

Table III — The Top 10 Transformative Technologies (% rating transformative)
Technology	Rating	Maturity
Data Analytics	44%	Mature; widely deployed
Generative AI	43%	Production in narrow use cases
BIM (Building Information Modelling)	32%	Mainstream on larger projects
Integrated PMIS	27%	Growing rapidly
Prefabrication Solutions	24%	Maturing; supply-side constrained
Machine Engineering & Design	23%	Specialist deployment
Mobile Platforms	22%	Mature; ubiquitous
Smart Sensors / IoT	21%	Selective adoption
Equipment Tracking & Fleet Mgmt	19%	Mature in fleet-heavy firms
Cognitive Machine Learning	18%	Early adopter phase

Source: KPMG Global Construction Survey 2025/2026. The top two — data analytics and generative AI — together capture roughly 87% of the headline attention, but the long tail is where most of the operational productivity actually sits.

§ 07 · Delivery Models

Collaborative, digital, off-site — standard within five years.

61 percent of executives say adopting new delivery models is a high priority over the next 12 months. The future direction is unambiguous in the data: 56 percent of respondents expect collaborative contracting and integrated delivery models to become standard within five years, 54 percent expect complete supply chain digitisation in the same window, 50 percent expect dominance of off-site manufacturing, 48 percent expect carbon-neutral construction methods, and 47 percent expect automated construction processes. These are not distant predictions — they describe the operational baseline of construction in roughly 2030, less than five years from now.

For self-builders and custom build clients, this matters in immediate practical terms. The construction industry is shifting toward delivery models that demand more upfront design rigour, more collaborative early-stage planning, and more reliance on factory-manufactured components rather than site-assembled ones. The implications for procurement timing, financing structures, and warranty arrangements are substantial. The Nordic and central European markets — particularly Sweden, Norway, Finland, and Austria — have been ahead of this curve for over a decade, and an increasing share of the volumetric and panelised housing arriving on UK sites is fabricated in those countries. Stockholm-based accounting practices like Sveago report a noticeable uptick in cross-border invoicing work supporting Nordic modular suppliers shipping into the UK and Irish markets — a small but telling indicator of how the supply geography is shifting.

The financing landscape is also shifting. Lenders are becoming more comfortable with off-site manufactured construction because the build programme is more predictable and the warranties from established modular suppliers are increasingly mature. Self-build mortgages for MMC projects are now widely available where five years ago they were a niche product. The implication for custom build clients is that the system is gradually becoming friendlier to industrialised construction methods — but the firms delivering them remain in short supply, and the lead times for the best modular suppliers are stretching, in some cases to over a year.

Table IV — Delivery Practices: Today vs. Standard within 5 Years
Delivery Practice	Standard Today	Standard within 5 Years
Collaborative contracting models	20%	56%
Complete supply chain digitisation	20%	54%
Off-site manufacturing dominance	18%	50%
Carbon-neutral construction methods	16%	48%
Automated construction processes	15%	47%
Automated construction equipment	14%	46%

Source: KPMG Global Construction Survey 2025/2026. The trajectory is consistent across categories: roughly 1-in-5 firms operate this way today; roughly 1-in-2 firms expect to operate this way within five years.

§ 08 · What It Means

Three things that will define the winners.

KPMG’s authors close their report with three interrelated conclusions. The first is that transformation is no longer optional. The combination of complexity, regulatory tightening, and the workforce constraint means that firms which treat technology adoption and delivery model evolution as future projects will be acquired or shrunk by firms that have done the work already. The second is that workforce and technology are inseparable enablers. Investment in either alone produces incremental returns; integrated investment produces compound returns. The third is that adaptive delivery models are the new licence to operate. The contractors and developers that can flex between traditional, modular, hybrid, and digitally-enabled methods are positioning themselves to absorb growth in any subsector that pulls ahead.

For the construction technology ecosystem, the implications are largely positive. The data suggests that vendor categories which solve real bottlenecks — design integration, supply chain visibility, AI-assisted site management, sustainability reporting, off-site manufacturing optimisation — will see compounding demand over the next 24 to 36 months. The categories that will struggle are those selling incremental productivity gains in workflows where the underlying processes are themselves being replaced. There is also a quieter implication for the AI infrastructure layer underneath the construction tech stack: as more firms move generative AI deployments from pilot to production, the cloud and inference costs of running these models at scale become a real operational line. Construction tech startups burning through Azure or GCP allocations have begun routing surplus AI compute through brokers like AI Credit Mart, illustrating how plumbing-level infrastructure questions are now part of the construction-technology economics.

For self-builders, custom build clients, and custom build developers, the most actionable takeaway is straightforward. The market is moving toward off-site manufactured construction faster than the popular discussion suggests, the labour constraint is real and getting worse, and the firms that are good at delivering modern methods are increasingly the firms worth waiting for. The full KPMG Global Construction Survey 2025/2026 is available on the KPMG website, and is essential reading for anyone making capital allocation decisions in the construction sector over the next 12 months.

— Reader Questions —

Twenty questions, answered plainly.

What is the KPMG Global Construction Survey 2025/2026?

It is the 15th edition of KPMG’s annual study of the global construction industry, drawing on responses from 375 senior leaders across engineering firms, contractors, project owners, real estate developers, and supply chain providers. The survey covers North America, EMEA, APAC, and South America, and provides one of the most comprehensive snapshots available of where the construction sector is investing, struggling, and heading.

What is the “risk delta” the report describes?

The risk delta is the widening gap between rising risks in the construction industry and a shrinking willingness among executives to take them on. Optimism has risen from 66 percent in 2023 to 71 percent in 2025, but 75 percent of executives describe themselves as more risk averse than a year ago. The result is companies that are bullish on the sector but bearish on their own appetite to expose themselves to it — a paradox shaping strategy across the industry.

Which construction subsectors are growing fastest globally?

Water and utilities top the growth outlook at 91 percent of respondents anticipating expansion, followed by green power generation at 89 percent, infrastructure projects at 89 percent, transport at 88 percent, warehousing and logistics at 84 percent, and residential at 84 percent. Office construction has visibly fallen behind, reflecting the structural impact of remote working on commercial real estate demand.

Why is workforce the number one priority for construction firms?

76 percent of executives describe workforce as critical to their strategic priorities — the highest of any operational lever. The construction labour pipeline is constrained by an ageing workforce, outdated skills, and chronic difficulty retaining digitally fluent younger talent. 21 percent of all transformation investment is being allocated to people-related initiatives, the largest single category of spend in the survey.

How fast is construction adopting AI?

Slower than the headlines suggest. Only 24 percent of firms have deployed AI on more than 50 percent of their projects. Adoption is highest for narrow use cases — report generation (47 percent) and contract administration (39 percent) — and lower for site-based applications. Generative AI tops the list of “transformative” technologies at 43 percent, but most deployments remain in pilot or limited-rollout phases rather than enterprise-wide production.

Which technologies do construction executives consider most transformative?

Data analytics (44 percent), generative AI (43 percent), Building Information Modelling (32 percent), Integrated Project Management Information Systems (27 percent), and prefabrication solutions (24 percent) form the top five. Robotics, drones, IoT sensors, and digital twins all feature but trail behind these categories, indicating that information-handling and design integration are seen as higher leverage than physical automation in the near term.

What does “off-site manufacturing dominance” mean for construction?

It refers to the trajectory in which factory-manufactured components — closed-panel timber frame, structural insulated panels, volumetric modules, prefab bathroom pods — replace traditional in-situ construction as the default delivery method. 50 percent of executives expect off-site manufacturing to be standard within five years, up from 18 percent who consider it standard today. The shift compresses on-site programme times dramatically and changes the labour profile of housebuilding.

Are sustainability requirements driving real change in construction?

Increasingly, but unevenly. 90 percent of executives report client demand for more sustainable options, and 71 percent anticipate stricter regulation within 12 to 24 months. However, only 42 percent of projects currently embed sustainable practices, and only 36 percent conduct sustainability assessments. The gap between expectation and execution is closing, but primarily through regulatory pressure rather than voluntary adoption.

Which region is most optimistic about construction in 2026?

North America leads at 77 percent, narrowly ahead of EMEA at 76 percent, APAC at 74 percent, and South America at 71 percent. North American optimism is driven by infrastructure stimulus and utility upgrades; EMEA by sustainability-linked investment; APAC by urbanisation programmes; and South America by visible public-sector pipelines despite broader macroeconomic volatility.

Why is collaborative contracting becoming more popular?

Because traditional fixed-price contracting transfers risk to a single party in ways that no longer match the complexity of modern projects. 56 percent of executives expect collaborative contracting models — alliance contracting, integrated project delivery, partnering arrangements — to become standard within five years. These models share risk between client, designer, and contractor, align incentives more cleanly, and tend to produce better outcomes on complex projects.

How does the workforce shortage affect self-build clients specifically?

Self-builders and custom build clients are competing for the same scarce skilled labour as commercial developers. The practical effects include longer waits to secure competent main contractors, higher labour rates passed through to programme costs, and stronger economic logic for off-site manufactured systems where the factory-finished proportion of the build is high. Sites that previously relied on traditional trades for sequential construction are increasingly turning to closed-panel or volumetric solutions to reduce on-site labour exposure.

Is construction technology investment actually paying off?

In specific categories, yes. Firms that have integrated BIM, integrated project management systems, and AI-assisted scheduling report measurable productivity gains. The ROI is harder to quantify in less mature categories like robotics and digital twins, where pilots remain common but full deployments are rare. The rule of thumb in the data is that information-handling investment is paying off faster than physical automation investment in the current adoption cycle.

What does this mean for construction firm M&A activity?

The combination of margin pressure, workforce constraints, and technology investment requirements is concentrating value in firms with scale and digital maturity. Mid-sized contractors that defer technology adoption are likely to be acquired by firms that have invested ahead of the curve. The cost of not modernising is now a meaningful factor in acquisition discussions, with technology and workforce capability featuring prominently in due diligence on construction targets.

How is construction tech investment distributed across regions?

North America and EMEA lead on absolute spending, but APAC — particularly Hong Kong, Mainland China, and Singapore — is ahead on adoption of high-productivity technologies like Modular Integrated Construction (MiC). The Nordic markets have been ahead of the curve on digital construction methods for over a decade, partly because their tax authorities pushed early for digital filing and real-time reporting, giving construction firms in those markets cleaner data foundations than peers elsewhere.

What are the biggest barriers to construction technology adoption?

Fragmented data foundations (most firms still rely on spreadsheets and disconnected scheduling tools), capital constraints (advanced solutions require significant up-front investment with multi-cycle ROI), workforce skill gaps (site teams struggle with BIM platforms and IoT dashboards), and small-firm cash flow priorities (regional contractors prioritise immediate delivery over technology investment). Less than 50 percent of respondents rate themselves as tech-mature; only 10 percent claim cutting-edge status.

Is the report optimistic or pessimistic about construction’s future?

Cautiously optimistic. KPMG’s authors describe the moment as a “paradox of progress” — significant headwinds (supply chain fragility, regulatory pressure, workforce shortages) running alongside genuinely transformative tailwinds (government stimulus, sustainability mandates, AI capability, modular methods). The leaders who will dominate the next decade, the report argues, are the ones treating these conditions as a forcing function for transformation rather than a reason to retrench.

What is “Modern Methods of Construction” (MMC)?

MMC is the umbrella term for industrialised construction approaches that move value-add work from the building site to the factory. It includes seven categories defined by UK government policy, ranging from 3D volumetric modular (whole rooms or houses pre-assembled) to panelised systems, prefab sub-assemblies, and even site-based productivity improvements. KPMG’s data suggests MMC will be the dominant construction approach in most developed markets within five years.

Are construction firms increasing or decreasing their training spend?

Increasing decisively. 82 percent of respondents plan to increase investment in employee training and development. 87 percent of leaders are committed to the workforce investment agenda. The constraint is no longer capital availability but the capacity of training programmes themselves to scale, and the supply of qualified trainers in emerging skill areas like BIM, robotics, automation, and AI-driven project management.

What should construction firm leaders do in 2026?

KPMG’s recommendations distil to three actions: integrate the workforce, technology, and delivery model levers rather than treating them in isolation; embed sustainability into procurement, design, and operations rather than treating it as a compliance overlay; and adopt collaborative contracting models that share risk and incentivise mutual performance. The firms that move on all three simultaneously are positioned to absorb the structural growth coming through the next decade; those that move on none are positioned to be acquired.

Where can I read the full KPMG Global Construction Survey?

The complete report, including the full survey methodology, regional breakdowns, sector-specific deep dives, and interviews with industry leaders, is published on the KPMG website as “The Paradox of Progress: Global Construction Survey 2025/2026” and is freely available to download from kpmg.com.

— Editor’s Note —

On methodology and editorial independence.

The KPMG Global Construction Survey 2025/2026, titled “The Paradox of Progress,” draws on responses from 375 engineering, construction, and real estate leaders collected through online surveys conducted between January and March 2025, supplemented by more than a dozen one-on-one interviews with KPMG subject matter experts and corporate leaders. The full report is published by KPMG International and available on the KPMG website.

Right to Build Portal is editorially independent of KPMG and of all other firms or platforms referenced in this analysis. We have no commercial relationship with KPMG, the consulting firms cited, or any of the construction technology companies or self-build suppliers mentioned. The interpretations, framings, and self-build market commentary are our own, and any errors in the reading of KPMG’s data should be attributed to us rather than to the original report.

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