Report Details:
15 Companies Covered
100 Pages
Increased Demand for Automation and Digital Transformation Will Continue to Fuel the AI in Construction Market to Reach a CAGR of 32.66% for the 2025 to 2035 Forecast Period.
Market Research Future (MRFR) has published a cooked research report on the “Global AI in Construction Market” which includes information from 2025 to 2035. From 2025 to 2035, the AI in Construction Market will post a CAGR of 32.66% according to market studies.
Key Market Players Identified by MRFR Include: IBM, Trimble, SAP, Autodesk, and Bentley Systems.
Market Forecast and Trends
According to MRFR, the AI in Construction Market will achieve a CAGR of 32.66% across the forecast period, which will increase from 0.67 billion USD in 2024 to 15.01 billion USD in 2035.
By incorporating AI aids to almost all stages of construction projects, there has been a paradigm change in construction process automation, improved workflow and project management, and increased efficiency. Traditional workflows in construction are enhanced by real-time, automated, and predictive analytics to make informed decisions in safety management.
All three interconnected phenomena: the construction of smart cities, the more active monitoring of construction sites, and the more construction industry participants adopting environmentally sustainable practices, are important factors pushing the construction industry digitalization vertical solution through the integration of digital construction site monitoring and AI systems.
As more construction industry participants embrace more digital construction technologies, the industry outlook improves. The construction industry is also getting more digital from the bottom: the predicted construction industry global market size of site management systems and robotics in construction will exceed USD 7 billion and USD 94 billion with an anticipated growth rate of over 25% for the next 3-5 years.
The anticipated global infrastructure investment in construction will exceed USD 93 trillion by the year 2040. This means the construction industry will need and is most likely open and ready to embrace the integration of more AI systems in digital construction practices.
Market Segmentation
The Global AI in Construction Market is divided by Application, by Technology, by Solution Type, by End Use, and by Region.
By Application
The identified construction site AI performance categorization focuses on construction project management, construction site safety monitoring, construction site predictive maintenance, construction site monitoring, and overall construction site management.
The Projected Market Size of Project Planning is expected 2023 to be 0.3 billion and by 2035, 2.5 billion. This is due to the increased application of AI technologies for programming, budgets, and resource planning.
As for Safety Management, 2024 figures are 0.25 billion, while 2035 figures are expected to be 2.0 billion, mainly due to AI detecting and predicting possible safety issues and automated analysis of safety checks.
By Technology
The technologies, as stated, consist of Machine Learning, Natural Language Processing, Robotics, Computer vision and Big Data.
Within the technologies, Machine Learning and Computer vision are expected to drive the market due to the forecast of advanced analytics, automation of construction procedures, and enhanced real-time surveillance and construction task monitoring. The growth of robotics is significant to the automation of labor for construction sites to improve accuracy.
By Solution Type
The classification of the market is done by Software, Hardware and Services.
The Software market is the largest due to the growing need for AI automated project management and analytics software. Productivity in the field is improved by Hardware such as AI-powered drones, cameras and sensors. The need for Services is growing due to the demand for construction consulting, system integration, project customization and management automation.
By End Use
The End Use includes Residential, Commercial, Infrastructure, Industrial, and Specialty.
With urban development and smart city projects, the infrastructure segment continues to dominate the market. The Residential and Commercial sectors use AI technologies for design, efficiency, and monitoring. The Industrial segment uses automation and predictive maintenance, while Specialty construction uses AI for advanced construction tech.
Region Analysis
The market is also segmented by region: North America, South America, Europe, Asia-Pacific, and the Middle East & Africa.
North America, the first high adopter of AI with the strongest digital transformation, pulled in the largest market share of USD 0.73 billion in 2024 to USD 5.6 billion in 2035. Europe, with sustainable construction projects, will grow from USD 0.51 billion in construction tech value to USD 3.9 billion in 2035. The Asia-Pacific region is expanding rapidly with urbanization and smart city development. It will grow from USD 0.38 billion in 2024 to USD 3.0 billion in 2035.
In 2024, both South America and the Middle East & Africa regions are projected to be worth USD 0.1 billion. South America will be worth USD 1.0 billion, and the Middle East & Africa will be worth USD 1.5 billion by 2035, due to the slow adoption of digital construction technologies.
Key Findings of the Study
- The Global AI in Construction Market is expected to be USD 15.01 billion in 2035, with a CAGR of 32.66% during the estimated years.
- According to the research, the Asia-Pacific region will be the fastest-growing market.
- In terms of Application, the Site Management area is projected to have the largest share by 2035.
- In terms of Technology, the growth of the market will be driven by Machine Learning and Computer Vision.
- In terms of Solution Type, the market will be led by Software.
- Key players in the Global AI in Construction Market include IBM, Trimble, SAP, Autodesk, and Bentley Systems.
Industry Developments
- In September 2023, IBM partnered with construction companies to implement AI-driven predictive maintenance to enhance efficiency and safety on construction sites.
- In August 2023, SAP expanded its digital construction solutions offerings by acquiring a leading AI-driven construction management software company.
- Autodesk has introduced a new suite of AI tools to help automate the management and scheduling of tasks to optimize resource use and save costs.
- Trimble and Bentley Systems’ partnerships, AI, and smart construction design are expanding their portfolios.
Future opportunities include:
- Building AI-powered tools to help analyze design/documents' risk factors while the project is being constructed.
- AI virtual design collaboration tools for architects, engineers, and construction professionals.
- AI tech is poised to predict when construction equipment and tools will fail/downtime.
- AI is expected to automate and enhance the efficiency, safety, and sustainability of construction project management and building practices by 2035.