AI in Construction Market Soars at 33.7% CAGR with North America Leading 36% and Autodesk Holding 14.7% Share

The Global Artificial Intelligence (AI) in Construction Market reached USD 600 million in 2022 and is expected to reach USD 7,800 million by 2030, growing at a CAGR of 33.7 percent during the forecast period 2023-2030. AI in construction enables data-driven decision-making, predictive analytics, automated project planning, safety monitoring and efficiency improvements across workflows. Technologies such as machine learning, computer vision, drones, robotics and digital twins are increasingly integrated into construction operations to reduce costs, improve productivity and enhance safety compliance.

Market expansion is driven by rising digitalization of construction processes, increasing adoption of AI-enabled project management tools and growing need for real-time insights in large-scale infrastructure projects. The technology is widely used for equipment monitoring, risk prevention, quality inspection and progress tracking. North America and Europe lead adoption due to strong investment in construction technology and high demand for automation, while Asia-Pacific is emerging as a fast-growing region supported by rapid urbanization and large infrastructure development initiatives.

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The Artificial Intelligence (AI) in Construction Market encompasses intelligent technologies that optimize planning, design, safety, project management and operational efficiency by leveraging data-driven insights, automation and predictive analytics across construction workflows.

Key Developments
United States
✅ October 2025: U.S. construction companies deployed AI-powered project management platforms for real-time scheduling, resource allocation, and predictive risk analysis, reducing delays and cost overruns.

✅ August 2025: American contractors integrated AI-driven drone inspections and computer vision for site monitoring, safety compliance, and progress tracking.

✅ May 2025: U.S. builders adopted AI-based predictive maintenance solutions for construction machinery, minimizing downtime and optimizing equipment utilization.

Global
✅ September 2025: European construction firms implemented AI-enabled BIM (Building Information Modeling) tools for automated clash detection, material optimization, and energy-efficient design.

✅ June 2025: Asia-Pacific developers used AI-powered safety analytics and wearable sensors to monitor worker health, detect hazards, and improve on-site accident prevention.

✅ February 2025: Global construction software providers launched generative AI platforms capable of automated blueprint design, structural analysis, and cost estimation for large-scale infrastructure projects.

Mergers & Acquisitions
United States
✅ July 2025: A leading U.S. construction software company acquired an AI-driven project analytics startup to expand predictive scheduling and safety-monitoring solutions.

Global
✅ April 2025: A European construction technology firm partnered with an Asian AI software company to co-develop generative AI tools for building design and smart construction automation.

✅ January 2025: A global construction solutions provider completed the acquisition of a North American AI platform startup specializing in construction robotics and autonomous equipment management.

Key Players

Building System Planning, Inc. | SAP SE | Autodesk, Inc. | NVIDIA Corporation | International Business Machines Corp (IBM) | Microsoft Corporation | Oracle Corporation | Dassault Systèmes SE | Aurora Computer Services Limited | PTC Inc.

Key Highlights

• Building System Planning, Inc. - Holds an estimated 7.9% share, driven by its expertise in building information modeling (BIM), construction planning solutions, and adoption in large-scale infrastructure projects.

• SAP SE - Accounts for around 12.4% share, supported by its enterprise resource planning (ERP) integration, digital twin solutions, and strong penetration in enterprise construction and engineering workflows.

• Autodesk, Inc. - Maintains approximately 14.7% share, recognized for its AutoCAD, Revit, and BIM 360 platforms, widely adopted in architecture, engineering, and construction (AEC) industries globally.

• NVIDIA Corporation - Holds about 9.1% share, backed by its GPU-accelerated simulations, AI-driven design tools, and digital twin technologies for smart construction and engineering applications.

• International Business Machines Corp (IBM) - Represents nearly 11.2% share, fueled by its AI-powered planning solutions, hybrid cloud platforms, and enterprise-scale design and modeling tools.

• Microsoft Corporation - Accounts for roughly 13.5% share, driven by its Azure cloud-based BIM solutions, AI integrations, and widespread adoption of collaboration platforms for AEC projects.

• Oracle Corporation - Holds an estimated 10.3% share, supported by its construction and engineering project management software, cloud-based analytics, and ERP integration.

• Dassault Systèmes SE - Maintains about 11.6% share, known for its 3DEXPERIENCE platform, CATIA, and SIMULIA solutions, enabling digital twin modeling and advanced design simulations.

• Aurora Computer Services Limited - Represents around 5.4% share, driven by its specialized construction software, project management tools, and adoption among mid-sized engineering firms.

• PTC Inc. - Holds approximately 9.9% share, supported by its CAD, IoT, and PLM solutions, enabling smart building design, digital twins, and lifecycle management.

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Market Drivers

- Rising adoption of AI technologies for project planning, design optimization, and construction site management.

- Increasing use of AI-powered predictive analytics to reduce construction delays, cost overruns, and resource wastage.

- Growing implementation of AI-based safety monitoring and risk assessment solutions to prevent workplace accidents.

- Expansion of Building Information Modeling (BIM) integrated with AI for efficient project lifecycle management.

- Rising demand for autonomous construction equipment, drones, and robotics for on-site automation.

- Growing focus on smart infrastructure and sustainable construction practices, leveraging AI for energy efficiency and material optimization.

- Increasing use of AI in procurement, supply chain management, and real-time progress tracking in construction projects.

Industry Developments

- Launch of AI-driven construction management platforms for real-time monitoring, predictive maintenance, and productivity optimization.

- Integration of AI with drones and IoT sensors for site surveillance, progress tracking, and quality control.

- Strategic partnerships between AI solution providers and construction firms to develop automated machinery and intelligent project planning tools.

- Development of machine learning models to predict equipment failures, cost variations, and project delays.

- Adoption of generative design AI tools to optimize building structures, reduce material usage, and enhance sustainability.

- Increasing use of AI-based robotics for concrete pouring, bricklaying, and autonomous machinery operations.

- Investments in digital twins and AI simulation platforms for virtual construction testing and risk mitigation.

Regional Insights

North America - 36% driven by "rapid adoption of AI-based construction management software, strong R&D investments, and widespread use of robotics and drones in building projects."

Europe - 28% supported by "growing emphasis on sustainable and smart infrastructure, stringent construction regulations, and increasing use of predictive analytics."

Asia Pacific - 32% fueled by "rapid urbanization, expansion of large-scale infrastructure projects, and high adoption of AI-powered machinery and digital construction tools in China, Japan, and India."

Latin America - 3% driven by "infrastructure development, adoption of modern construction technologies, and increasing use of AI for project management."

Middle East & Africa - 1% supported by "smart city initiatives, government investments in infrastructure, and growing use of AI in high-rise and industrial construction projects."

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Key Segments

By Offerings
Solutions include smart home platforms, energy management systems, automation software, and IoT-enabled devices that optimize energy consumption, enhance comfort, and provide intelligent control. Services encompass consulting, installation, maintenance, and managed support that help users deploy, operate, and maintain smart building and energy management systems effectively.

By Deployment Type
Cloud deployment offers scalability, remote monitoring, real-time analytics, and cost-efficient management of smart systems, making it suitable for large-scale or multi-site operations. On-Premise deployment provides enhanced security, control, and customization for sensitive environments or users requiring local data processing and strict compliance.

By Organization Size
Small and Medium-sized Enterprises (SMEs) adopt smart solutions to improve operational efficiency, reduce energy costs, and enhance facility management without heavy upfront investments. Large Enterprises implement advanced, scalable smart systems to manage multiple facilities, integrate automation across operations, and achieve long-term sustainability goals.

By End-User
Residential users leverage smart solutions for home automation, energy management, security, and convenience. Institutional users, such as schools and hospitals, deploy smart systems to improve energy efficiency, safety, and operational management. Commercials include offices, malls, and retail spaces using smart technologies for energy optimization, security, and occupant comfort. Others include industrial facilities, hospitality, and public buildings adopting smart solutions for efficiency, monitoring, and automation.

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