2026 Global: Artificial Intelligence (Ai) In Construction Market-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) In Construction Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in construction market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in construction market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Procore Technologies, Autodesk, Oracle, Bentley Systems, and Buildots lead the Artificial Intelligence (AI) in Construction Market as top innovators driving efficiency in 2025. Procore excels in predictive analytics, document automation, and risk mitigation, serving clients like Turner Construction and Balfour Beatty by flagging project risks early and automating submittal management. Autodesk integrates AI for predictive insights, design optimization, and risk identification in tools like BIM 360 and Construction IQ, aiding firms such as Skanska and AECOM in data-driven decisions and schedule adherence. Oracle's Primavera and Aconex platforms focus on predictive scheduling, risk mitigation, and resource planning, helping Bechtel and Jacobs detect delays and optimize resources proactively. Bentley Systems advances infrastructure modeling, generative design, and predictive maintenance through iTwin and SYNCHRO, supporting U.S. Department of Transportation and Ferrovial in simulating outcomes and managing assets. Buildots specializes in progress tracking via computer vision, comparing 360° imagery with BIM models to reduce delays by up to 50% for clients like Intel and JE Dunn.
Specialized players like ALICE Technologies, Bechtel, Dusty Robotics, and Downtobid address scheduling, megaprojects, robotics, and preconstruction challenges. ALICE Technologies uses AI simulations to generate millions of schedules from BIM models and constraints, enabling contractors like Bouygues Construction to test scenarios, optimize resources, and lower risks during bidding and execution. Bechtel employs neural scheduling networks for megaprojects, predicting risks and sequencing tasks efficiently, as seen in semiconductor facilities where AI flagged trade issues early; partnerships with nPlan and IBM Watson enhance scalability. Dusty Robotics deploys precise, self-learning robots for layout tasks, operating 60% faster with 95% accuracy on commercial and residential projects, though higher costs limit small-firm adoption. Downtobid automates preconstruction with AI for scope detection, subcontractor matching, bid invites, and tracking, streamlining processes for general contractors and vendors beyond basic build-phase tools.
Emerging firms such as Mastt, STRABAG SE, and BuildStream complete the top ten by targeting owners, risk forecasting, and analytics. Mastt provides AI for project owners with automated dashboards, risk tracking, predictive forecasting, and contract management, generating real-time reports to control budgets and prevent overruns. STRABAG SE leverages OpenAI and Microsoft Azure to forecast risks by comparing new projects against thousands of past ones, identifying delays, costs, and safety issues in early phases. BuildStream applies machine learning to historical data for scheduling, predicting bottlenecks, enabling scenario planning, and improving collaboration, though it suits larger operations best. These companies collectively transform construction through AI, cutting delays, costs, and risks across project lifecycles.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for artificial intelligence (ai) in construction market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in construction market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Procore Technologies, Autodesk, Oracle, Bentley Systems, and Buildots lead the Artificial Intelligence (AI) in Construction Market as top innovators driving efficiency in 2025. Procore excels in predictive analytics, document automation, and risk mitigation, serving clients like Turner Construction and Balfour Beatty by flagging project risks early and automating submittal management. Autodesk integrates AI for predictive insights, design optimization, and risk identification in tools like BIM 360 and Construction IQ, aiding firms such as Skanska and AECOM in data-driven decisions and schedule adherence. Oracle's Primavera and Aconex platforms focus on predictive scheduling, risk mitigation, and resource planning, helping Bechtel and Jacobs detect delays and optimize resources proactively. Bentley Systems advances infrastructure modeling, generative design, and predictive maintenance through iTwin and SYNCHRO, supporting U.S. Department of Transportation and Ferrovial in simulating outcomes and managing assets. Buildots specializes in progress tracking via computer vision, comparing 360° imagery with BIM models to reduce delays by up to 50% for clients like Intel and JE Dunn.
Specialized players like ALICE Technologies, Bechtel, Dusty Robotics, and Downtobid address scheduling, megaprojects, robotics, and preconstruction challenges. ALICE Technologies uses AI simulations to generate millions of schedules from BIM models and constraints, enabling contractors like Bouygues Construction to test scenarios, optimize resources, and lower risks during bidding and execution. Bechtel employs neural scheduling networks for megaprojects, predicting risks and sequencing tasks efficiently, as seen in semiconductor facilities where AI flagged trade issues early; partnerships with nPlan and IBM Watson enhance scalability. Dusty Robotics deploys precise, self-learning robots for layout tasks, operating 60% faster with 95% accuracy on commercial and residential projects, though higher costs limit small-firm adoption. Downtobid automates preconstruction with AI for scope detection, subcontractor matching, bid invites, and tracking, streamlining processes for general contractors and vendors beyond basic build-phase tools.
Emerging firms such as Mastt, STRABAG SE, and BuildStream complete the top ten by targeting owners, risk forecasting, and analytics. Mastt provides AI for project owners with automated dashboards, risk tracking, predictive forecasting, and contract management, generating real-time reports to control budgets and prevent overruns. STRABAG SE leverages OpenAI and Microsoft Azure to forecast risks by comparing new projects against thousands of past ones, identifying delays, costs, and safety issues in early phases. BuildStream applies machine learning to historical data for scheduling, predicting bottlenecks, enabling scenario planning, and improving collaboration, though it suits larger operations best. These companies collectively transform construction through AI, cutting delays, costs, and risks across project lifecycles.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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