Artificial Intelligence (AI) in Construction Market – Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented by Application (Planning and Design, Safety, Autonomous Equipment, Monitoring, And Maintenance), By Region & Competition, .2021-2031F
The Global Artificial Intelligence (AI) in Construction Market is projected for substantial growth, expanding from USD 7.76 Billion in 2025 to USD 23.02 Billion by 2031 at a 19.87% CAGR. This market leverages machine learning, robotics, and predictive analytics to optimize project planning, design, and execution. The market aims to reduce project costs, meet strict timelines, enhance job site safety, and mitigate the impact of a shrinking skilled workforce. However, integrating AI tools with legacy systems and high implementation costs pose significant challenges, preventing widespread adoption; in 2025, 45% of organizations reported no AI use, with only 1% having scaled these technologies across their projects, highlighting a gap between interest and enterprise-level execution.
Market Driver
A primary driver for AI adoption is the chronic shortage of skilled labor, compelling construction firms to utilize AI-driven robotics and automated project management to maintain output despite reduced headcounts. This urgency is underscored by the Associated General Contractors of America's 2025 survey, which found 92% of firms struggling to find qualified candidates, making automation a strategic necessity. Concurrently, the critical need for improved operational efficiency and productivity fuels the adoption of predictive analytics and machine learning. These solutions address costly inefficiencies like design clashes and data silos; for instance, 28% of project time is wasted on rework, a significant financial opportunity for AI to reclaim value, as recognized by 68% of industry leaders who believe AI will significantly enhance the sector in 2025.
Market Challenge
The high cost of implementation and the complexity of integrating artificial intelligence with existing legacy systems represent significant impediments to the Global AI in Construction Market's expansion. Given the industry's tight margins and strict schedules, the substantial upfront investment and the operational disruptions caused by integration pose prohibitive risks, often stalling firms at the pilot phase due to a lack of financial and operational resilience for scaling. This challenge is further evidenced by 43% of contractors in 2024 citing the difficulty of finding time for new technology implementation and training, indicating that the barrier extends beyond software purchase costs to include the costly impact on workforce productivity, thereby limiting market growth.
Market Trends
Widespread adoption of generative AI is fundamentally reshaping the pre-construction phase by enabling architects and engineers to autonomously create numerous design alternatives based on specific constraints, significantly enhancing decision-making speed and optimizing structural integrity while minimizing material waste. This shift towards automated design intelligence is gaining momentum, with 59% of respondents in a November 2024 outlook identifying AI and machine learning as key trends for the upcoming year. Additionally, the market is experiencing a robust integration of AI solutions focused on sustainability and carbon footprint reduction, driven by stringent environmental regulations. These tools use advanced algorithms to monitor energy consumption and predict environmental impacts, moving towards active carbon management, a core focus for 63% of construction organizations leveraging AI for sustainability initiatives in 2025.
Key Market Players
In this report, the Global Artificial Intelligence (AI) in Construction Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence (AI) in Construction Market.
Available Customizations:
Global Artificial Intelligence (AI) in Construction Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Market Driver
A primary driver for AI adoption is the chronic shortage of skilled labor, compelling construction firms to utilize AI-driven robotics and automated project management to maintain output despite reduced headcounts. This urgency is underscored by the Associated General Contractors of America's 2025 survey, which found 92% of firms struggling to find qualified candidates, making automation a strategic necessity. Concurrently, the critical need for improved operational efficiency and productivity fuels the adoption of predictive analytics and machine learning. These solutions address costly inefficiencies like design clashes and data silos; for instance, 28% of project time is wasted on rework, a significant financial opportunity for AI to reclaim value, as recognized by 68% of industry leaders who believe AI will significantly enhance the sector in 2025.
Market Challenge
The high cost of implementation and the complexity of integrating artificial intelligence with existing legacy systems represent significant impediments to the Global AI in Construction Market's expansion. Given the industry's tight margins and strict schedules, the substantial upfront investment and the operational disruptions caused by integration pose prohibitive risks, often stalling firms at the pilot phase due to a lack of financial and operational resilience for scaling. This challenge is further evidenced by 43% of contractors in 2024 citing the difficulty of finding time for new technology implementation and training, indicating that the barrier extends beyond software purchase costs to include the costly impact on workforce productivity, thereby limiting market growth.
Market Trends
Widespread adoption of generative AI is fundamentally reshaping the pre-construction phase by enabling architects and engineers to autonomously create numerous design alternatives based on specific constraints, significantly enhancing decision-making speed and optimizing structural integrity while minimizing material waste. This shift towards automated design intelligence is gaining momentum, with 59% of respondents in a November 2024 outlook identifying AI and machine learning as key trends for the upcoming year. Additionally, the market is experiencing a robust integration of AI solutions focused on sustainability and carbon footprint reduction, driven by stringent environmental regulations. These tools use advanced algorithms to monitor energy consumption and predict environmental impacts, moving towards active carbon management, a core focus for 63% of construction organizations leveraging AI for sustainability initiatives in 2025.
Key Market Players
- Autodesk Inc.
- Building System Planning Inc.
- Smartvid.io Inc.
- Doxel Inc.
- Bentley Systems Inc.
- PTC Inc.
- IBM Corporation
- NVIDIA Corporation
- Oracle Corporation
In this report, the Global Artificial Intelligence (AI) in Construction Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Artificial Intelligence (AI) in Construction Market, By Application
- Planning and Design
- Safety
- Autonomous Equipment
- Monitoring
- Maintenance
- Artificial Intelligence (AI) in Construction Market, By Region
- North America
- United States
- Canada
- Mexico
- Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- South America
- Brazil
- Argentina
- Colombia
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence (AI) in Construction Market.
Available Customizations:
Global Artificial Intelligence (AI) in Construction Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. VOICE OF CUSTOMER
5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Application (Planning and Design, Safety, Autonomous Equipment, Monitoring, Maintenance)
5.2.2. By Region
5.2.3. By Company (2025)
5.3. Market Map
6. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Application
6.2.2. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence (AI) in Construction Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Application
6.3.2. Canada Artificial Intelligence (AI) in Construction Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Application
6.3.3. Mexico Artificial Intelligence (AI) in Construction Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Application
7. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Application
7.2.2. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence (AI) in Construction Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Application
7.3.2. France Artificial Intelligence (AI) in Construction Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Application
7.3.3. United Kingdom Artificial Intelligence (AI) in Construction Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Application
7.3.4. Italy Artificial Intelligence (AI) in Construction Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Application
7.3.5. Spain Artificial Intelligence (AI) in Construction Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Application
8. ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Application
8.2.2. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Artificial Intelligence (AI) in Construction Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Application
8.3.2. India Artificial Intelligence (AI) in Construction Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Application
8.3.3. Japan Artificial Intelligence (AI) in Construction Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Application
8.3.4. South Korea Artificial Intelligence (AI) in Construction Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Application
8.3.5. Australia Artificial Intelligence (AI) in Construction Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Application
9. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Application
9.2.2. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Artificial Intelligence (AI) in Construction Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Application
9.3.2. UAE Artificial Intelligence (AI) in Construction Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Application
9.3.3. South Africa Artificial Intelligence (AI) in Construction Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Application
10. SOUTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Application
10.2.2. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Artificial Intelligence (AI) in Construction Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Application
10.3.2. Colombia Artificial Intelligence (AI) in Construction Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Application
10.3.3. Argentina Artificial Intelligence (AI) in Construction Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Application
11. MARKET DYNAMICS
11.1. Drivers
11.2. Challenges
12. MARKET TRENDS & DEVELOPMENTS
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET: SWOT ANALYSIS
14. PORTER'S FIVE FORCES ANALYSIS
14.1. Competition in the Industry
14.2. Potential of New Entrants
14.3. Power of Suppliers
14.4. Power of Customers
14.5. Threat of Substitute Products
15. COMPETITIVE LANDSCAPE
15.1. Autodesk Inc.
15.1.1. Business Overview
15.1.2. Products & Services
15.1.3. Recent Developments
15.1.4. Key Personnel
15.1.5. SWOT Analysis
15.2. Building System Planning Inc.
15.3. Smartvid.io Inc.
15.4. Doxel Inc.
15.5. Bentley Systems Inc.
15.6. PTC Inc.
15.7. IBM Corporation
15.8. NVIDIA Corporation
15.9. Oracle Corporation
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. VOICE OF CUSTOMER
5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Application (Planning and Design, Safety, Autonomous Equipment, Monitoring, Maintenance)
5.2.2. By Region
5.2.3. By Company (2025)
5.3. Market Map
6. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Application
6.2.2. By Country
6.3. North America: Country Analysis
6.3.1. United States Artificial Intelligence (AI) in Construction Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Application
6.3.2. Canada Artificial Intelligence (AI) in Construction Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Application
6.3.3. Mexico Artificial Intelligence (AI) in Construction Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Application
7. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Application
7.2.2. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Artificial Intelligence (AI) in Construction Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Application
7.3.2. France Artificial Intelligence (AI) in Construction Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Application
7.3.3. United Kingdom Artificial Intelligence (AI) in Construction Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Application
7.3.4. Italy Artificial Intelligence (AI) in Construction Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Application
7.3.5. Spain Artificial Intelligence (AI) in Construction Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Application
8. ASIA PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Application
8.2.2. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Artificial Intelligence (AI) in Construction Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Application
8.3.2. India Artificial Intelligence (AI) in Construction Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Application
8.3.3. Japan Artificial Intelligence (AI) in Construction Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Application
8.3.4. South Korea Artificial Intelligence (AI) in Construction Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Application
8.3.5. Australia Artificial Intelligence (AI) in Construction Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Application
9. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Application
9.2.2. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Artificial Intelligence (AI) in Construction Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Application
9.3.2. UAE Artificial Intelligence (AI) in Construction Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Application
9.3.3. South Africa Artificial Intelligence (AI) in Construction Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Application
10. SOUTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Application
10.2.2. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Artificial Intelligence (AI) in Construction Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Application
10.3.2. Colombia Artificial Intelligence (AI) in Construction Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Application
10.3.3. Argentina Artificial Intelligence (AI) in Construction Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Application
11. MARKET DYNAMICS
11.1. Drivers
11.2. Challenges
12. MARKET TRENDS & DEVELOPMENTS
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN CONSTRUCTION MARKET: SWOT ANALYSIS
14. PORTER'S FIVE FORCES ANALYSIS
14.1. Competition in the Industry
14.2. Potential of New Entrants
14.3. Power of Suppliers
14.4. Power of Customers
14.5. Threat of Substitute Products
15. COMPETITIVE LANDSCAPE
15.1. Autodesk Inc.
15.1.1. Business Overview
15.1.2. Products & Services
15.1.3. Recent Developments
15.1.4. Key Personnel
15.1.5. SWOT Analysis
15.2. Building System Planning Inc.
15.3. Smartvid.io Inc.
15.4. Doxel Inc.
15.5. Bentley Systems Inc.
15.6. PTC Inc.
15.7. IBM Corporation
15.8. NVIDIA Corporation
15.9. Oracle Corporation
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER