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AI In Construction Market Set To Climb From $3.02 Billion In 2026 To $9.48 Billion By 2030
The AI in construction market has seen considerable expansion in recent years. Its value is anticipated to increase from $2.28 billion in 2025 to $3.02 billion in 2026, achieving a compound annual growth rate (CAGR) of 32.8%. The historical growth of this market can be linked to factors such as the growth of large scale infrastructure projects, adoption of construction management software, rising labor safety concerns, increasing project complexity, and early adoption of bim tools.
The AI in construction market is poised for significant expansion in the coming years, with its size projected to reach $9.48 billion in 2030 at a compound annual growth rate (CAGR) of 33.1%. This projected growth is driven by factors such as smart city development initiatives, the increasing demand for cost-optimized construction, the expansion of AI-driven site monitoring, the adoption of digital twins, and rising sustainability regulations. Furthermore, major trends anticipated in the forecast period include predictive project scheduling, AI-based safety monitoring, smart construction site analytics, automated risk assessment, and energy efficiency optimization.
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AI In Construction Market Development Factors: What’s Supporting Demand?
Growing infrastructure initiatives are anticipated to boost the adoption of artificial intelligence (AI) within the construction market. Such projects encompass the creation of new road networks or substantial modifications to existing ones, impacting traffic patterns. AI proves valuable for infrastructure endeavors by employing advanced technologies and algorithms to enhance diverse stages of a project’s lifecycle, enabling more streamlined design, planning, operation, and management of building infrastructure initiatives. Consequently, the integration of AI in construction is projected to expand as the sector pursues innovative methods to fulfill the requirements of infrastructure development. For example, data from the United States Census Bureau, a US-based government agency, indicated that in September 2024, construction spending in July 2024 reached an estimated seasonally adjusted annual rate of $2,162.7 billion, which was 6.7 percent ±1.8 percent higher than the July 2023 estimate of $2,027.4 billion. Over this timeframe, total construction spending amounted to $1,237.5 billion, exceeding the $1,137.4 billion recorded for the equivalent period in 2023 by 8.8 percent (±1.2 percent). Thus, the rise in infrastructure projects is a key factor propelling the expansion of artificial intelligence (AI) in the construction market moving forward.
AI In Construction Market Segments: Where Is Growth Concentrated?
The AI in construction market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Stage: Pre-Construction, Construction Stage, Post-Construction
3) By Deployment Type: Cloud, On-Premises
4) By Application: Project Management, Field Management, Risk Management, Schedule Management, Supply Chain Management, Other Applications
5) By Industry Type: Heavy Construction, Institutional Commercials, Residential, Other Industry Types
Subsegments:
1) By Solutions: Project Management Software, Building Information Modeling (BIM) Tools, Predictive Analytics for Construction Scheduling, AI-Based Design Tools, Safety Management Solutions
2) By Services: Consulting Services For AI Implementation, Training And Education Services, Maintenance and Support Services, Custom AI Development Services, Integration Services For Existing Systems
AI In Construction Market Transformation Trends: What Innovations Are Driving Change?
Leading firms within the AI in construction market are prioritizing the creation of advanced technologies like AI-driven workflow automation tools to optimize design, construction, and operational procedures throughout the AEC/O (architecture, engineering, construction, and operations) industry. These AI-powered workflow automation tools are intelligent software systems that leverage artificial intelligence to automate repetitive tasks, refine project methodologies, and improve decision-making within construction workflows. An example of this is the Nemetschek Group, a Germany-based AEC/O software solutions provider, which introduced a new AI assistant in January 2025 aimed at streamlining workflows for professionals in architecture, engineering, and construction. This AI assistant integrates smoothly across Nemetschek’s software ecosystem, facilitating automated documentation, improved design coordination, better model quality, and access to real-time project information. Utilizing sophisticated generative and predictive AI functionalities, this solution contributes to decreasing manual effort, expediting project completion, and enhancing collaboration and operational effectiveness across the entire construction lifecycle.
AI In Construction Market Key Participants And Competitive Landscape
Major companies operating in the AI in construction market are Microsoft Corporation; Oracle Corporation; SAP SE; Nvidia Corporation; AECOM Technical Services Inc.; Acciona S.A.; Dassault Systèmes SE; Autodesk Inc.; Trimble Inc.; PTC Inc.; Bentley Systems Incorporation; Procore Technologies Inc.; OpenSpace Inc.; Dusty Robotics Inc.; Doxel Inc.; Versatile Inc.; Alice Technologies Inc.; Deepomatic Inc; Smartvid.io Inc.; eSUB Inc.; Kwant.AI inc.; Nyfty.AI inc.; Built Robotics Inc.; Newmetrix; Caidio Inc.; Buildots; AirWorks LLC
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AI In Construction Market Top Region: Where Does Most Revenue Come From?
North America was the largest region in the AI in construction market in 2025. Asia-Pacific is expected to be the fastest-growing region in the global AI in construction market report during the forecast period. The regions covered in the AI in construction market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
