Artificial Intelligence in Construction Market to Reach USD 7.8 Billion by 2030, Growing at a CAGR of 33.7% | Key Players: Autodesk, Trimble, Bentley Systems, Procore, SAP, NVIDIA, IBM

Market Overview:

The Global Artificial Intelligence (AI) in Construction Market reached USD 0.6 billion in 2022 and is projected to reach USD 7.8 billion by 2030, growing at a CAGR of 33.7% during the forecast period 2023-2030. The growth is primarily driven by rising investments in AI research and development within the construction sector, which is fueling the creation of AI-powered tools and solutions.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):-https://www.datamintelligence.com/download-sample/artificial-intelligence-ai-in-construction-market?Juli

AI adoption in construction helps optimize project management, ensures compliance with building codes and regulations, reduces legal risks, and improves operational efficiency. For example, on 7 November 2022, Trimble and Exyn Technologies collaborated to develop autonomous construction surveying technology, combining Boston Dynamics' Spot robot, Exyn's ExynPak with ExynAI, and Trimble's X7 total station. This solution enables fully autonomous missions within complex construction environments, where collected data can be analyzed and compared with Building Information Models (BIM) for quality and progress monitoring.

Recent Key Developments:

✅ January 2026: Autodesk, Inc. launched AI‐Enhanced Construction Insights, a suite of machine learning tools integrated into Autodesk Construction Cloud that predicts project delays and cost overruns using historical data and real‐time sensor feeds.

✅ December 2025: Trimble Inc. expanded its AI‐driven site automation platform by introducing advanced terrain mapping and progress tracking capabilities powered by drone‐based AI analytics, improving productivity on infrastructure and commercial projects.

✅ November 2025: Bentley Systems introduced Synchro ML, an AI‐augmented digital twin solution that uses predictive modeling to optimize resource allocation, safety planning, and schedule forecasting across large construction sites.

✅ October 2025: Procore Technologies unveiled AI Safety AI Coach, a generative AI module that analyzes jobsite photo and video feeds to automatically identify safety hazards and recommend corrective actions in real time.

Recent Key Developments: Asia Pacific / Japan
✅ January 2026: Obayashi Corporation (Japan) deployed an AI‐guided autonomous construction robot fleet for urban redevelopment projects, reducing reliance on manual labor for repetitive on‐site tasks.

✅ December 2025: Samsung C&T Corporation partnered with a leading Korean AI research institute to launch an AI‐assisted quality monitoring platform, using computer vision to detect structural anomalies during construction progress.

✅ November 2025: L&T Technology Services (India) rolled out an AI‐powered BIM analytics tool for infrastructure projects, enabling real‐time clash detection, predictive maintenance planning, and enhanced scope management.

✅ October 2025: China State Construction Engineering Corporation (CSCEC) launched a pilot AI Project Control Center in Shanghai that uses machine learning to integrate cost, schedule, risk, and safety data for enterprise‐wide decision optimization.

Key Players:
Building System Planning, Inc., SAP SE, Autodesk, Inc., NVIDIA Corporation, International Business Machines Corp, Microsoft Corporation, Inc. oracle Corporation, Dassault Systems SE, Aurora Computer Services Limited and PTC Inc.

Building System Planning, Inc. - A U.S.-based construction technology firm offering AI-powered planning and project management solutions for complex building projects. In 2025, the company focused on integrating predictive analytics and BIM-based AI tools for improved scheduling and cost management.

SAP SE - A global software leader headquartered in Germany, SAP leverages AI in construction through its SAP Cloud for Real Estate and SAP Construction Management platforms. In 2025, SAP emphasized AI-driven project insights and predictive resource allocation across enterprise construction projects.

Autodesk, Inc. - U.S.-based Autodesk is known for its Autodesk Construction Cloud and BIM solutions. In 2025, it expanded AI-assisted analytics for real-time project monitoring, automated clash detection, and digital twin integrations, enhancing planning efficiency and reducing project delays.

Market Dynemics:

Market Trends
Reducing Production Costs Drives the Market
AI integration in construction is increasingly being leveraged to lower production costs by automating repetitive and time-intensive tasks, reducing reliance on manual labor, and optimizing resource allocation. AI algorithms analyze project data to improve the utilization of materials, machinery, and labor, minimizing waste and enhancing operational efficiency. Predictive maintenance powered by AI monitors equipment health and forecasts potential failures, mitigating costly downtime. According to Acenture, the adoption of AI in construction has the potential to increase industry profits by 71% by 2035. Additionally, studies by Emerson indicate that 30% of initial project data is typically lost by the end of construction, highlighting the need for AI-driven cost tracking. Continuous monitoring and analysis allow teams to proactively manage budgets, prevent cost overruns, and identify opportunities for financial optimization.

The Demand for Enhanced Safety Measures
Safety is a critical focus for AI adoption in construction. Machine learning algorithms analyze historical and real-time data from sensors and IoT devices to identify unsafe conditions and predict potential accidents. By recognizing patterns in worker activities, equipment operation, and environmental factors, AI enables preventive interventions. According to NCCER in 2021, robotic process automation (RPA) can automate dangerous tasks, reducing human exposure to hazards. AI-driven predictive analytics allows for proactive safety planning, monitoring machinery, workflows, and supply chains, ultimately enhancing site safety and operational efficiency.

Rising Advancements in Machine Learning and Deep Learning Algorithms
The development of advanced machine learning and deep learning algorithms has expanded AI's capabilities in construction. These systems can process vast datasets, identify patterns, optimize workflows, and support informed decision-making. Edge AI, which processes data locally, improves responsiveness in remote or resource-limited construction environments. For example, on 17 August 2021, Togal.ai, a construction technology startup, introduced AI-powered estimating software capable of measuring room sizes and pricing construction costs in seconds, replacing tasks that traditionally took weeks.

Limited Historical Data and Workforce Challenges
Effective AI deployment relies on high-quality, relevant data. In construction, data heterogeneity, inconsistent formats, and limited historical records pose significant challenges for algorithm training. Sensitive and proprietary project information must be securely managed to prevent cyber threats and ensure compliance with privacy regulations. Workforce shortages further complicate adoption; according to the Associated Builders and Contractors in 2022, approximately 665,000 construction workers are in deficit, with an additional 1.2 million employees projected to leave the industry, intensifying the labor gap. AI can help mitigate some impacts by optimizing workflow, automating repetitive tasks, and maximizing the efficiency of the available workforce.

Buy Now & Unlock 360° Market Intelligence:-https://www.datamintelligence.com/buy-now-page?report=artificial-intelligence-ai-in-construction-market?Juli

Regional Insights:

North America: 35% - Largest share, fueled by advanced construction technology adoption, strong R&D investment, and smart city initiatives in the U.S. and Canada.

Asia Pacific: 32% - Fastest growing region, driven by rapid urbanization, infrastructure projects, and government investments in AI and automation technologies in China, India, Japan, and South Korea.

Europe: 22% - Steady growth supported by smart building initiatives, sustainability regulations, and increasing adoption of AI-driven project management and safety solutions.

Rest of the World (RoW): 11% - Moderate growth owing to emerging construction markets, limited technology penetration, and gradual adoption of AI solutions in the Middle East, Latin America, and Africa.

Speak to Our Analyst and Get Customization in the report as per your requirements:-https://www.datamintelligence.com/customize/artificial-intelligence-ai-in-construction-market?Juli

Market Segmentation:

By Offerings
Solutions lead with 65% market share in 2024, driven by demand for AI-powered project management, predictive analytics, and safety monitoring tools. Services hold 35%, including consulting, integration, and support, growing steadily as firms seek expertise to implement AI effectively.

By Deployment Type
Cloud deployment dominates with 60% share, favored for scalability, lower upfront costs, and accessibility across multi-site projects. On-Premise holds 40%, preferred by large enterprises for enhanced data security and control over sensitive construction information.

By Organization Size
Large Enterprises lead with 70% share, leveraging extensive budgets, infrastructure, and resources to integrate AI across multiple projects. Small and Medium-sized Enterprises (SMEs) capture 30%, gradually adopting AI solutions to improve efficiency and reduce operational costs.

By End-User
Commercial construction dominates with 45% share, including office buildings, industrial complexes, and smart city projects. Institutional buildings such as schools and hospitals follow at 30%, while Residential construction accounts for 25%, steadily increasing due to growing urbanization and smart home adoption.

📌 Request for 2 Days FREE Trial Access: https://www.datamintelligence.com/reports-subscription

☛ Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.

✅ Competitive Landscape
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Unmet Needs & Positioning, Pricing & Market Access Snapshots
✅ Market Volatility & Emerging Risks Analysis
✅ Quarterly Industry Report Updated
✅ Live Market & Pricing Trends
✅ Import-Export Data Monitoring

☛ Have a look at our Subscription Dashboard: https://www.youtube.com/watch?v=x5oEiqEqTWg?Juli give title

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.