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AI In Construction Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The AI in construction market size has shown substantial growth in recent years. It is anticipated to expand from $2.28 billion in 2025 to $3.02 billion in 2026, achieving a compound annual growth rate (CAGR) of 32.8%. Contributing factors to its historical growth include the rise of large scale infrastructure projects, the uptake of construction management software, increased labor safety concerns, the growing complexity of projects, and the initial integration of bim tools.
The AI in construction market is projected to experience substantial growth over the next few years. It is anticipated to reach $9.48 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 33.1%. This expansion during the forecast period is driven by factors such as smart city development initiatives, the demand for cost-optimized construction, the increasing adoption of AI-driven site monitoring, the integration of digital twins, and stricter sustainability regulations. Key trends foreseen in this 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 Growth Drivers And Industry Catalysts
The growing number of infrastructure projects is anticipated to significantly advance the presence of artificial intelligence (AI) within the construction market in the future. An infrastructure project is defined as any undertaking involving the development of new road networks or substantial modifications to existing systems that influence traffic patterns. artificial intelligence (AI) proves beneficial in these initiatives by utilizing sophisticated technologies and algorithms to enhance various stages of the project’s lifecycle, thereby enabling more efficient design, planning, operation, and management of building infrastructure initiatives. Consequently, the adoption of AI in construction is expected to increase as the industry seeks innovative solutions to meet the demands of infrastructure development. For instance, in September 2024, according to the United States Census Bureau, a US-based government agency, construction spending during July 2024 was estimated at a seasonally adjusted annual rate of $2,162.7 billion, which was 6.7 percent (±1.8 percent) above the July 2023 estimate of $2,027.4 billion. During this same period, construction spending amounted to $1,237.5 billion, representing an 8.8 percent (±1.2 percent) increase over the $1,137.4 billion recorded for the identical period in 2023. Therefore, the rise in infrastructure projects is undeniably a key driver for the growth of artificial intelligence (AI) in the construction market going forward.
AI In Construction Market Segment Landscape: Which Areas Lead Market Development?
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: Which Innovations Are Driving Change?
Major companies operating in the AI in construction market are concentrating on developing technological advancements, specifically AI-powered workflow automation tools, to enhance the efficiency of design, construction, and operations processes across the AEC/O (architecture, engineering, construction, and operations) sector. These intelligent software solutions leverage artificial intelligence to automate routine tasks, optimize project processes, and improve decision-making throughout various construction workflows. For instance, in January 2025, Nemetschek Group, a Germany-based AEC/O software solutions provider, introduced a new AI assistant designed to optimize workflows for architects, engineers, and construction professionals. This AI assistant integrates seamlessly across Nemetschek’s software ecosystem to automate documentation, enhance design coordination, improve model quality, and support real-time project insights. By utilizing advanced generative and predictive AI capabilities, the solution helps reduce manual workload, accelerate project delivery, and improve collaboration and operational efficiency throughout the construction lifecycle.
AI In Construction Market Industry Leaders And Market Competition
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 Largest Region: Which Geography Holds The Highest Market Share?
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.