AI in Construction Market expected to reach USD 22.768 billion by 2030

AI in Construction Market Trends & Forecast

According to a research study published by Knowledge Sourcing Intelligence (KSI), the ai in construction market will expand from USD 8.060 billion in 2025 to USD 22.768 billion in 2030 at a CAGR of 23.08% during the forecast period.

AI in the construction market is rapidly growing, with the wide adoption of intelligent technologies for improved safety, planning accuracy, and project efficiency replacing traditional methodologies. Machine learning, Computer vision, and Predictive Analytics are applied across the various phases of construction work to reduce costs and delays. Global digitalisation, the shortage of skilled labor, and advances in sustainable building methods are accelerating this adaptation.

Artificial intelligence for construction relies on AI systems for designing, implementing, and practicing AI technologies for enhancing all construction projects. Its technologies include solutions based on machine learning (ML) algorithms, computer vision systems, and language processing tools that enhance process functionality like project management, risk management, time management, supply chain management, quality management, and safety management. This arises from a major shift based on the increasing demand for sustainability, efficiency, and economy in construction projects. This is by far one of the fastest-growing areas of endeavor in construction, which has numerous possibilities for innovation and transformation.

AI in Construction Market Report Highlights

• Among applications, project management is the largest segment in the AI in construction market, as companies increasingly deploy AI tools to optimize scheduling, budgeting, resource allocation, and risk management. The use of AI-driven solutions aids construction companies in predicting delays, managing cost overruns, and automated workflows by applying predictive analytics. Combining current site information with historical project results, AI solutions can be used to make a more accurate plan and more proactive decisions, which is why project management is the most commercially developed and popular AI application.
• Construction phase takes the largest market share by the time of construction stage because AI tools are already actively applied to the construction sites to monitor the works, track the productivity of the used equipment, enhance the safety of workers and minimize the costs of a project. Activities assisted by AI systems during this stage include real-time site monitoring with the help of computer vision, robotics, automated quality control, and logistics coordination. It is the main point of AI implementation as its direct financial effect of inefficiencies is the largest at this stage.
• The most popular and the most rapidly expanding category is the cloud based deployment, as it is scalable, can provide real time access to data, and incurs lower initial infrastructure expenses than on-premises. Cloud platforms allow the project teams to cooperate in geographies, get access to centralized data dashboards, and merge AI engines with BIM models and IoTSensor systems. Cloud-based systems are emerging as the architecture of choice in terms of AI-driven construction management as more and more companies in the construction sector embraced digital workflows.

Report Coverage:

Report Metric	Details
AI in Construction Market Size in 2025	US$8.060 billion
AI in Construction Market Size in 2030	US$22.768 billion
Growth Rate	CAGR of 23.08%
Drivers	Growing Need for Risk Management and Predictive Analytics Growing Demand for Productivity in Construction
Restraints	AI-Based Safety Restraints
Segmentation	Application Construction Stage Deployment Industry Geography
List of Major Companies in the AI in Construction Market	IBM Autodesk Construction Cloud Oracle SAP SE ALICE Technologies Inc.

AI in Construction Market Growth Drivers and Restraints

Growth Drivers:

• Growing Need for Risk Management and Predictive Analytics: The construction sector is highly uncertain because of such elements as a change in prices of materials, the labor market shortage, the design issues, weather inconveniences and risks. The conventional risk management techniques, which primarily rely on manual evaluation and historical data, are no longer adequate as the projects become larger and more intricate. This has increased the adoption of AI-based risk management systems. These systems utilize This has enhancing the use of risk management systems based on AI. These systems are based on machine learning, predictive analytics and real-time data integration to identify potential problems before they become serious problems. To illustrate, the AI models can predict the occurrence of cost overruns and schedule slippages and the presence of safety hazards based on the project history, IoT sensors, and site cameras.

In line with this, approximately ten countries are already offering AI-powered services to their citizens and 75 countries intend to publish their AI plans by 2024. The U.S has already proposed a staggering budget allocation of AI in the FY25 budget of $3 billion.

• Growing Demand for Productivity in Construction: One of the driving factors of skill development in the construction industry is the significantly growing demand for increased productivity and efficiency. Construction projects are complex, require many sites, have tight deadlines, and potential financial constraints. Traditional project management processes often do not provide the desired results, leading construction projects to miss deadlines, underperform, and overrun costs. To solve this problem, companies are turning toward using AI solutions utilizing modern technologies such as computer-based vision, ML, and AI to inject automation, big data analysis, and decision support into their operations.

Restraints:

• AI-Based Safety Restraints: AI is widely used on construction sites to prevent accidents by monitoring worker movement, equipment usage, and environmental conditions in real time through cameras, wearables, and IoT sensors. Computer vision systems detect if workers are not wearing protective gear like helmets or safety harnesses and immediately alert supervisors. AI can also stop machinery automatically if humans enter hazardous zones, significantly reducing injuries caused by human error, fatigue, or poor visibility.

AI in Construction Market Key Development

• Product Launch: In October 2025, Saint-Goblin announced the launch of its AI avatar for application as the face and voice of a digital series named “Voice of the Future” for advanced sustainable communication in the construction sector. Through this series, the company is highlighting construction-related sustainability issues, such as resilience, accessibility, and digitalisation in diverse countries, including India, China, South Africa, and Australia, among others.

AI in Construction Market Segmentation

Knowledge Sourcing Intelligence has segmented the AI in Construction Market based on application, construction stage, deployment, industry and region:

AI in Construction Market, by Application

• Project Management
• Planning and Design
• Safety
• Autonomous Equipment
• Monitoring and Maintenance

AI in Construction Market, by Construction Stage

• Pre-Construction
• Construction
• Post-Construction

AI in Construction Market, by Deployment

• On-Premise
• Cloud Based

AI in Construction Market, by Industry

• Residential
• Commercial
• Others

AI in Construction Market, By Region

• North America
  • USA
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Others
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others
• South America
  • Brazil
  • Argentina
  • Others
• Middle East and Africa (MEA)
  • Saudi Arabia
  • UAE
  • Others

AI in Construction Market Key Players

• IBM
• Autodesk, Inc.
• Oracle Corporation
• SAP SE
• ALICE Technologies Inc.
• The Access Group
• Doxel
• eSUB, Inc.
• Procore
• Buildots
• Dusty Robotics, Inc.
• OpenSpace
• AI Clearing