AI In Construction Global Market Report 2026

AI in construction involves leveraging artificial intelligence tools and techniques within the construction sector to gain comprehensive insights into on-site activities. These AI applications can optimize various aspects such as energy efficiency and indoor air quality by analyzing data sourced from building systems, thereby enhancing overall performance indicators.

The primary components of AI in construction encompass both solutions and services. Solutions involve methods or approaches used to tackle challenges or fulfill particular needs within the construction sector. AI is harnessed by construction companies to scrutinize project data, including tasks such as construction site monitoring and predictive analytics. Meanwhile, AI-powered construction services are utilized across pre-construction, construction, and post-construction phases, implemented both on the cloud and on-premises. Applications of AI in construction span various areas such as project management, field management, risk assessment, schedule coordination, supply chain oversight, and other relevant functions across heavy construction, institutional commercial projects, residential development, and related industries.

Tariffs have affected the AI in construction market by increasing costs of imported sensors, cameras, computing hardware, and automation equipment used on construction sites. Infrastructure projects in north america and europe have faced higher implementation costs due to hardware price inflation. Asia pacific regions dependent on imported components have also experienced supply delays. However, tariffs have encouraged localized technology sourcing and greater emphasis on cloud based AI construction platforms.

The AI in construction market research report is one of a series of new reports from The Business Research Company that provides AI in construction market statistics, including AI in construction industry global market size, regional shares, competitors with a AI in construction market share, detailed AI in construction market segments, market trends and opportunities, and any further data you may need to thrive in the AI in construction industry. This AI in construction market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in construction market size has grown exponentially in recent years. It will grow from $2.28 billion in 2025 to $3.02 billion in 2026 at a compound annual growth rate (CAGR) of 32.8%. The growth in the historic period can be attributed to growth of large scale infrastructure projects, adoption of construction management software, rising labor safety concerns, increasing project complexity, early adoption of bim tools.

The AI in construction market size is expected to see exponential growth in the next few years. It will grow to $9.48 billion in 2030 at a compound annual growth rate (CAGR) of 33.1%. The growth in the forecast period can be attributed to smart city development initiatives, demand for cost optimized construction, expansion of AI driven site monitoring, adoption of digital twins, increasing sustainability regulations. Major trends in the forecast period include predictive project scheduling, AI based safety monitoring, smart construction site analytics, automated risk assessment, energy efficiency optimization.

The rise in infrastructure projects is anticipated to drive the growth of artificial intelligence (AI) in the construction market in the future. An infrastructure project involves developing new road systems or significantly modifying an existing network that impacts traffic flow. AI plays a crucial role in infrastructure projects by utilizing advanced technologies and algorithms to enhance various aspects of the project lifecycle, enabling more efficient design, planning, operation, and management of construction initiatives. Consequently, the adoption of AI in the construction sector is expected to increase as the industry seeks innovative solutions to address the demands of infrastructure development. For example, in September 2024, the United States Census Bureau, a government agency, reported that construction spending in July 2024 was estimated at a seasonally adjusted annual rate of $2,162.7 billion, which is 6.7% (+-1.8%) higher than the July 2023 estimate of $2,027.4 billion. During this time, construction spending reached $1,237.5 billion, reflecting an 8.8% (+-1.2%) increase compared to the $1,137.4 billion spent in the same period in 2023. Therefore, the increase in infrastructure projects is propelling the growth of artificial intelligence (AI) in the construction market moving forward.

Major companies in the AI in construction market are focusing on developing AI-powered workflow automation tools to streamline processes across architecture, engineering, construction, and operations (AEC/O). AI-powered workflow automation tools automate routine tasks, optimize project workflows, and enhance decision-making, improving collaboration and operational efficiency. For example, in January 2025, Nemetschek Group, a Germany-based AEC/O software provider, launched an AI assistant to optimize workflows for architects, engineers, and construction professionals. The assistant integrates with Nemetschek's software ecosystem, automating documentation, improving design coordination, enhancing model quality, and providing real-time project insights through generative and predictive AI capabilities.

In August 2024, Turner Construction, a US-based international construction firm specializing in project and construction management, acquired Dornan Engineering Group for an undisclosed amount. Through this acquisition, Turner Construction aims to broaden its presence in Europe and enhance its capabilities in the advanced technology sector, particularly in data centers and biopharmacy facilities. Dornan Engineering Group, an Ireland-based construction company, utilizes AI to optimize project planning, improve safety, and enhance cost estimation, fostering efficiency and innovation in construction.

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 Systemes 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

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.

The countries covered in the AI in construction market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in the construction market includes revenues earned by entities through planning, an inspection of quality and safety, price estimation, and managing projects. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The AI in the construction market consists of sales of drones, robots, software, and platforms. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Construction Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses AI in construction market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for AI in construction ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The AI in construction market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered: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
• Companies Mentioned: Microsoft Corporation; Oracle Corporation; SAP SE; Nvidia Corporation; AECOM Technical Services Inc.; Acciona S.A.; Dassault Systemes 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
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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