AI in Construction Statistics & Trends (2026)

Artificial intelligence has moved from pilot projects to production workflows across the construction industry, and the numbers now tell a clear story: adoption is accelerating, measurable results are appearing, and the labor shortage is forcing the issue.

This page collects the most important AI in construction statistics for 2026 in one place. Every figure below names its source — the publisher and the year — and links to the original report where a public URL exists. We do not include unattributed numbers, and where a statistic comes from a vendor's own customer data rather than independent research, we say so. Journalists, analysts, and researchers are welcome to cite this page (see how to cite below).

Key AI in Construction Statistics

The headline numbers, at a glance:

• 24% of engineering and construction firms globally report AI adopted at scale (KPMG Global Construction Survey 2025/26)
• 38% of commercial specialty contractors say they now see measurable results from AI, up from 17% a year earlier (ServiceTitan, 2026)
• 68% of construction leaders believe AI will enhance their industry — down from 80% the year before, as hype meets implementation reality (Autodesk State of Design & Make, 2025)
• 46% of construction leaders say AI skills will be a top hiring priority over the next three years (Autodesk, 2025)
• 92% of contractors report difficulty filling open positions (AGC/NCCER Workforce Survey, 2025)
• 349,000 net new workers are needed by U.S. construction in 2026 just to meet demand (Associated Builders and Contractors, 2026)
• $1.85 trillion — the estimated global cost of "bad data" in construction in a single year (Autodesk & FMI, 2021)
• $16.96 billion — one projection for the global AI-in-construction market by 2030, at a 26.9% CAGR (Grand View Research, 2024)

Summary Table

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AI Adoption in Construction

Construction has historically lagged other industries on digital adoption, but the 2025–2026 survey data shows the gap narrowing — with a notable split between experimentation and operational use.

• 24% of firms globally report AI adopted at scale, according to the KPMG Global Construction Survey 2025/26, which gathered perspectives from 375 engineering, construction, and real estate leaders. Regional variation is wide: 43.8% of Australian respondents report at-scale adoption, nearly double the global average.
• 38% of commercial specialty contractors say they see measurable results from AI, up from just 17% one year earlier, per ServiceTitan's 2026 Commercial Specialty Contractor Industry Report, a survey of more than 1,000 industry leaders. That doubling in twelve months is one of the clearest signals that AI has crossed from pilot to production for the trades.
• Sentiment is maturing, not collapsing. In the Autodesk State of Design & Make 2025 report (3,500+ leaders across 28 countries), 68% of construction respondents believe AI will enhance their industry — down 14 points from 80% the prior year. Autodesk attributes the dip to real-world implementation friction rather than disillusionment: firms now know what AI deployment actually costs in data cleanup, training, and change management.
• 63% of construction organizations are using AI to support sustainability efforts such as carbon monitoring and energy optimization (Autodesk, 2025).

The takeaway: roughly one in four firms worldwide has AI running at scale, but the majority remain in pilot or planning stages. The gap between the leaders and the laggards is where competitive advantage is being built right now. If you're on the wrong side of that gap, our construction AI tools directory is a practical place to start evaluating options.

Productivity, Data & ROI

The productivity case for AI in construction starts with an uncomfortable baseline.

• Construction labor productivity grew only about 1% per year globally over the two decades preceding 2017, far behind manufacturing, according to the McKinsey Global Institute's landmark Reinventing Construction report (McKinsey, 2017). The same analysis estimated closing the productivity gap was worth $1.6 trillion annually to the global economy.
• Generative AI could add $2.6–$4.4 trillion annually across the global economy, per McKinsey's Economic Potential of Generative AI (McKinsey, 2023). Construction's document-heavy, coordination-intensive workflows sit squarely in the use cases McKinsey identifies.
• "Bad data" cost the global construction industry an estimated $1.85 trillion in 2020, according to the Autodesk and FMI Harnessing the Data Advantage study (Autodesk & FMI, 2021), which surveyed more than 3,900 construction professionals. Decisions made on bad data drove an estimated $88.69 billion in avoidable rework — about 14% of all rework that year — and 30% of respondents said more than half of their project data is bad.
• The Deloitte 2026 Engineering and Construction Industry Outlook (Deloitte, 2025) projects AI will drive "a profound transformation" of an industry it describes as shifting from a labor-intensive, fragmented model to a digitally enabled and augmented ecosystem, with AI improving cost estimation, risk management, and real-time schedule control.

The rework and bad-data figures explain why so much construction AI investment targets unglamorous problems — document control, progress tracking, and data capture — before flashier applications. Reality-capture platforms like OpenSpace and AI progress-tracking tools like Buildots exist precisely because bad or missing field data is a trillion-dollar problem. For a framework on measuring returns from these tools, see our guide to calculating construction AI ROI.

AI and Construction Safety

Safety is where AI's value is easiest to defend to a CFO — and where analyst growth forecasts are steepest.

• Safety and risk management is the fastest-growing AI application segment in construction, forecast at a 39.2% CAGR, according to Mordor Intelligence's AI in Construction analysis (Mordor Intelligence, 2025), driven partly by tightening regulatory enforcement.
• Oracle reports customers using its AI-powered safety advisor have cut incident rates by up to 50% and workers' compensation costs by up to 75% in the first year (Oracle press release, 2025). Note this is vendor-reported customer data, not an independent study — treat it as a best-case indicator, not an industry average.
• Computer-vision safety monitoring — cameras plus AI models that flag missing PPE, proximity hazards, and unsafe conditions — has moved from novelty to standard practice on large commercial projects, a shift documented across the Deloitte 2026 outlook and the KPMG 2025/26 survey, both of which list safety analytics among the most commonly deployed AI use cases.

Independent, peer-reviewed data on AI safety outcomes remains thinner than vendor case studies, which is itself worth noting. The direction of the evidence is consistent, but the industry still needs neutral, multi-project studies quantifying incident reduction.

Estimating & Scheduling

Preconstruction is where AI adoption started earliest, because the math is simple: estimating errors and schedule slippage destroy thin margins.

• AI takeoff platforms report takeoff-time reductions of up to 80% compared with manual on-screen measurement — a figure reported by vendors such as Togal.AI from customer data (Togal.AI, 2025; vendor-reported). Even discounted heavily, the time savings on a 50-sheet drawing set are measured in days, not hours.
• AI schedule-optimization platforms report project duration compression in the 10–15% range on complex commercial work, per customer results published by ALICE Technologies (ALICE Technologies, 2025; vendor-reported). The underlying method — simulating thousands of sequencing alternatives — is something no human scheduler can replicate manually.
• The KPMG 2025/26 survey found data analytics and generative AI top the list of technologies leaders expect to shape the industry, specifically for risk forecasting and schedule optimization (KPMG, 2026).

For deeper tool-by-tool breakdowns, see our guides to AI construction estimating software and AI construction scheduling tools. If you just need fast material quantities on a live bid, our free Material Estimator requires no account.

The Labor Shortage Driving AI Adoption

Every AI adoption statistic in this article sits on top of a workforce crisis. The labor numbers are the why behind the technology numbers.

• The U.S. construction industry needs to attract an estimated 349,000 net new workers in 2026 — and roughly 456,000 more in 2027 — on top of normal hiring, just to keep labor supply and demand in balance, according to Associated Builders and Contractors (ABC, 2026). ABC's comparable 2025 estimate was 439,000.
• 92% of contractors report difficulty filling open positions, and 45% of firms say worker shortages delayed at least one project in the past year, per the AGC of America/NCCER 2025 Workforce Survey (AGC/NCCER, 2025). Nearly one-third of firms also reported impacts from stepped-up immigration enforcement.
• A majority of new worker demand in 2026 is attributable to retirements, not growth (ABC, 2026). Industry analyses of federal labor data put the average U.S. construction worker at roughly 42.5 years old, with only about 16% of the workforce under 35 (ABC/BLS analyses, 2025).
• The connection to AI is explicit in the survey data: 45% of firms believe AI and robotics will positively impact construction jobs by automating manual, error-prone tasks (AGC/NCCER, 2025), and 55% of construction leaders now cite lack of skilled talent as a barrier to growth, up from 43% a year earlier (Autodesk, 2025). Meanwhile 46% say AI skills will be a top hiring priority over the next three years (Autodesk, 2025).

The pattern is consistent across every major survey: firms are not adopting AI to cut headcount — they are adopting it because the headcount does not exist.

Market Size & Forecasts

Analyst estimates for the AI-in-construction market differ substantially depending on how each firm defines the category (software only vs. software plus robotics and services), so we present the major forecasts side by side rather than blending them:

Sources: Grand View Research, Mordor Intelligence, Knowledge Sourcing Intelligence.

Despite the spread in absolute numbers, the forecasts agree on the shape of the curve: the market at least doubles, and possibly grows five-fold, between the mid-2020s and 2030, with CAGRs between roughly 17% and 27%. All three analysts cite the same demand drivers — labor shortages, safety mandates, and capital flowing into digital infrastructure.

There is also a second-order effect worth flagging: AI is now a construction customer, not just a construction tool. Deloitte's 2026 outlook identifies AI-driven data center construction and its supporting energy infrastructure as among the strongest demand bright spots in an otherwise margin-squeezed industry (Deloitte, 2025).

Emerging Trends for 2026 and Beyond

Five developments show up repeatedly across the 2025–2026 research:

1. Agentic AI enters the jobsite office. Deloitte's 2026 outlook explicitly calls out agentic AI — systems that execute multi-step workflows rather than answering single prompts — as a technology E&C firms should be piloting now (Deloitte, 2025). Early applications: submittal log management, RFI routing, and schedule-change documentation.
2. The trust dip is a maturity signal. The 12–14 point drop in AI optimism recorded by Autodesk (80% → 68%) mirrors the classic post-hype adjustment. Firms that persisted through similar dips with BIM adoption a decade ago ended up ahead.
3. Safety AI grows fastest. With a forecast 39.2% segment CAGR (Mordor Intelligence, 2025) and regulators tightening enforcement, computer-vision safety monitoring is the most likely AI category to become contractually required on major projects.
4. The skills bottleneck moves from tools to people. With 44–55% of firms citing skills gaps as the top adoption barrier across the KPMG and Autodesk surveys, training — not licensing cost — is the binding constraint on AI ROI.
5. Reality capture becomes the data foundation. Progress-tracking and capture platforms like OpenSpace and Buildots are increasingly positioned as the data layer every other AI application depends on — a direct response to the $1.85 trillion bad-data problem.

For a tool-level view of who's leading each category, see our top AI construction tools roundup or browse the full AI construction tools directory.

How to Cite These Statistics

You are welcome to cite this page. Please attribute statistics to their original source (named beside every figure above) and, where useful, link to this roundup as: AI Building Tools, "AI in Construction Statistics & Trends (2026)." We update this page as new survey data is published; the last-updated date appears at the bottom of the article.

Frequently Asked Questions

What percentage of construction companies use AI in 2026?

About 24% of engineering and construction firms globally report having AI adopted at scale, according to the KPMG Global Construction Survey 2025/26. Adoption skews higher in specific segments: ServiceTitan's 2026 report found 38% of commercial specialty contractors now see measurable results from AI, up from 17% a year earlier. Most remaining firms are in pilot or planning stages rather than ignoring AI entirely, so headline "usage" figures vary widely depending on how adoption is defined.

How big is the AI in construction market?

Analyst estimates for 2030 range from roughly $17 billion (Grand View Research, 2024) to $24.3 billion (Mordor Intelligence, 2025), with compound annual growth rates between about 17% and 27%. The spread reflects different category definitions — some analysts count only software, others include robotics and services. All major forecasts agree the market will at least double between the mid-2020s and 2030, driven by labor shortages, safety mandates, and infrastructure investment.

Does AI actually improve construction productivity?

The strongest evidence is indirect but substantial. Autodesk and FMI (2021) estimated bad data cost global construction $1.85 trillion in 2020, including $88.69 billion in avoidable rework — the problem AI data-capture and document tools directly attack. Vendor-reported results show takeoff-time reductions up to 80% (Togal.AI) and schedule compression of 10–15% (ALICE Technologies). Independent multi-project studies remain scarce, so firms should pilot tools and measure their own before-and-after metrics.

Will AI replace construction workers?

The survey data points the opposite direction. The U.S. industry needs an estimated 349,000 net new workers in 2026 (ABC), 92% of contractors already struggle to fill positions (AGC/NCCER, 2025), and most new demand comes from retirements. In that context, 45% of firms say AI and robotics will positively impact construction jobs by automating manual, error-prone tasks. AI in construction is being deployed to cover labor that does not exist, not to displace labor that does.

What is the fastest-growing AI application in construction?

Safety and risk management. Mordor Intelligence (2025) forecasts the segment growing at a 39.2% CAGR — the steepest of any AI application area in construction — as regulators tighten jobsite safety enforcement. Computer-vision monitoring for PPE compliance and hazard detection is the most visible example, and vendor-reported results (such as Oracle's claimed 50% incident-rate reductions among customers) suggest why owners are beginning to specify these systems on major projects.

Related Resources

• AI Construction Tools Directory — browse and compare every platform we've reviewed
• Calculating Construction AI ROI — a framework for measuring returns before and after adoption
• AI Construction Estimating Software Guide — the takeoff and estimating platforms behind the preconstruction stats
• AI Construction Scheduling Tools — how schedule-optimization AI achieves 10–15% compression
• Top 10 AI Construction Tools — the category leaders in one roundup
• Free Material Estimator — instant material quantities, no account required

Last updated: July 2026. Statistics are attributed to their original publishers; this page is refreshed as new survey data is released.