USD 892.66 Million
Artificial Intelligence in Construction Market Size, Share, and Growth Analysis
Artificial Intelligence in Construction Market By Offering (Solution, Service), By Deployment Mode (On-Premises, Cloud-Based), By Application (Project Management, Risk Management), By Region -Industry Forecast 2025-2032
Report ID:
SQMIG45A2145 |
Region:
Global |
Published Date: February, 2025
Pages:
197
|Tables:
65
|Figures:
70
Format -
Artificial Intelligence in Construction Market Insights
Artificial Intelligence in Construction Market size was valued at USD 892.66 Million in 2023 and is poised to grow from USD 1197.06 Million in 2024 to USD 12518.34 Million by 2032, growing at a CAGR of 34.1% during the forecast period (2025-2032).
The global artificial intelligence in construction market growth is driven by revolutionization of AI in the construction industry through transforming traditional methods at every level of engineering and construction. Artificial Intelligence (AI) and machine learning technologies are actually advancing this industry's capabilities, from merely design and preconstruction to real construction, operations, and asset management. Construction companies revolutionize productivity, improve ways of doing things, and enhance efficiencies well beyond what has ever been possible with the application of artificial intelligence technology. Smart businesses are positioning themselves to compete and mobilize their capacity in satisfaction of the need for smarter and greener construction as the industry transforms with technology. AI can automate construction jobs using robotics, streamline design processes with generative design tools, and enable real-time decision-making in project management. This technology adoption goes beyond building and enhances building management and maintenance by using AI-powered systems and predictive analytics. One of the most essential factors bringing AI into industries is cost-effective production. It automates the processes of construction companies along with reducing waste and indicating the requirement for equipment maintenance and optimal allocation of resources. Somehow, those improvements lead to less expense on project completion and more effectiveness in it. In the following years, AI's role is predicted to be predominant in the expansion and transformation of the construction sector.
US Artificial Intelligence in Construction Market is poised to grow at a sustainable CAGR for the next forecast year.
Market snapshot - 2025-2032
Global Market Size
Largest Segment
Solutions
Fastest Growth
Services
Growth Rate
34.1% CAGR
Global Artificial Intelligence in Construction Market ($ Bn)
Country Share for North America (%)
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Artificial Intelligence in Construction Market Segments Analysis
The global artificial intelligence in construction market is segmented by Offering, Application, Stage, Deployment Type, Industry Type, Organization Size, and Regional. Based on Offering the market is segmented as, Solution, Service. Based on Application the market is segmented as, Asset Management, Project Management, Risk Management, Schedule Management, Supply Chain Management, Others. Based on Stage the market is segmented as, Pre-Construction, Construction-Stage, Post-Construction.
Based on Industry Type, the market is segmented as, Residential, Public Infrastructure, Heavy Construction, Others. Based on Organization Size the market is segmented as, Small & Medium-sized Enterprises (SMEs), Large Enterprises. Based on Regional the market is segmented as, North America, Asia Pacific, Latin America, and Middle East & Africa (MEA).
Artificial Intelligence in Construction Market Analysis by Offering
As per the 2024 artificial intelligence in construction market analysis, the solutions segment dominated the market. These solutions are incredibly wide-ranging, improving efficiencies and expediting processes. Technologies covered include robots, drones, AI-powered software platforms, autonomous machinery, and other advanced tools such as project management, design, planning, predictive analytics, and site monitoring in real time. For instance, construction firms can better manage schedules and labor resources with the aid of AI-based scheduling and resource management software while also showing an increase in accuracy in teamwork due to AI support in building information modeling (BIM). In further digitalization, these will be essential in getting cost reductions, increased safety, and fewer operating inefficiencies.
However, the services segment is expected to gain more popularity, especially in the construction field. AI services will experience an increase on a significant scale in the next years. Construction companies will now seek more expert services concerning advice, system integration and installation, and continuing service in this line. Consultations for AI are integrated by the AI consultants; such a consultant helps choose the right technology and finds how this integration could help the business better on their needs in a certain project. Moreover, with the upskilling of employees by businesses to use new AI technologies in a more efficient manner, training services will be more critical. Professional advice and training will be essential as AI technologies continue to advance, helping construction companies get the most out of their investments in AI.
Artificial Intelligence in Construction Market Analysis By Application
Based on the artificial intelligence in construction market forecast, the project management segment dominated the market. AI project management software can easily simplify the planning of construction schedules, resource allocation, cost forecasts, and real-time monitoring. Optimization, project workflows, and delay detection augmented through machine-learning predictive analytics have improved capabilities for data-driven decision-making. The systems based on artificial intelligence provide better stakeholder engagement and enhance the quality of decision-making, and budget management insights. Their ascendancy may be because AI technologies in project management have become indispensable in the completion of construction projects within time and budget as they become increasingly complex and time-bound.
However, the most significant and fast-growing application of AI in the construction industry is going to be risk management in the future. AI risk management solutions can envision and mitigate potential risks from real-time project condition monitoring based on the analysis of historical data and several factors used to assess the projects. In this way, construction companies will take proactive measures toward preventing future cost overruns, delays, or safety hazards. Increased complexity in construction projects and greater regulatory review will create an ever-increasing demand for intelligent and advanced AI-based risk management solutions that will ensure project safety and regulation and project success.
Global Artificial Intelligence in Construction Market By Offering
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Artificial Intelligence in Construction Market Regional Insights
North America, with its strong industrial automation industry, accounted for well over 38% in 2024. As a region, it has become easy to adapt to new edge AI technology because of a huge and tech-savvy population, with high purchasing power. This market is growing due to steady North America's expenses in automation and the emphasis on in-house production by the government on AI-integrated construction equipment. This area has been a front-runner in industrial automation and Industrial Internet of Things (IIoT) integration, improving the construction productivity and efficiency level. All these things support the leadership of North America in the global AI in construction market.
However, Asia-Pacific, due to its fast-expanding construction industry and wide acceptability of new technologies, is expected to grow at the highest CAGR during the next few years. The market is open in APAC because of infrastructure, which comes with high expenses in supply chain optimization, project management, and risk management. More focus is given to China and India, since these two focus mainly on the application of AI for their betterment in construction skills-pre-construction activities, primarily in the aspect of design and planning. The increasing demand for automation, which is projected to make project management and operational processes more efficient, is another reason for the growth of this region. Therefore, Asia-Pacific is predicted to emerge as a prominent player in the AI in construction market in the future.
Global Artificial Intelligence in Construction Market By Geography
- Largest
- Fastest
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Artificial Intelligence in Construction Market Dynamics
Artificial Intelligence in Construction Market Drivers
Efficiency and Cost Saving
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Artificial intelligence, through automation of processes and anticipating maintenance requirements, allocates resources as efficiently as possible, reducing building costs. It thus increases operational efficiency with more minimal delays, less waste of manpower and commodities, and better use thereof. This is one major reason for the growth of the industry.
Better Risk Management and Safety
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Currently, construction sites are safer due to the use of drones, sensors that can recognize risks in real-time, and machine learning algorithms. Risk prevention, including accidents and compliance with regulations, can be done by predicting equipment failure or structural faults, and other hazards. One of the strongest arguments in favor of an expanded role for AI in construction design and construction is its predictive and proactive capabilities in the control of hazards.
Artificial Intelligence in Construction Market Restraints
Data Security and Privacy Concerns
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Implementing AI in construction often involves collecting a large amount of personal data, such as site surveillance footage, employee profiles, and project details. This creates concerns about data security and privacy. The adoption of AI technologies can be restricted by the inability of construction organizations to safeguard data from cyber-attacks. The implementation of AI becomes much more challenging when privacy standards need to be adhered to.
Resistance to Technological Advancement
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The construction sector is slow in the adoption of new technologies, and there is resistance, sometimes both from management and the employees themselves, to take advantage of AI. Many who are working in the construction industry may consider whether AI can do work better than a human or are afraid that technology would strip them of work. Significant effort will go into the education of those who hold a stake to ensure the change happens in taking to technology in that industry.
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Artificial Intelligence in Construction Market Competitive Landscape
The competitive landscape of the global artificial intelligence (AI) in the construction market is marked by the active participation of industry giants and innovative startups. Established players such as IBM, Microsoft, and Oracle have solidified their positions by offering robust AI solutions tailored to the construction sector. Their extensive resources, technological prowess, and global reach enable them to provide comprehensive AI-driven applications spanning project management, risk assessment, and supply chain optimization. These companies' established reputations also foster trust among construction firms seeking reliable AI solutions.
Alongside these industry giants, a dynamic ecosystem of startups is emerging, contributing innovative AI technologies to the construction space. These startups often specialize in niche areas, offering targeted solutions such as AI-powered drones for site monitoring or machine learning algorithms for real-time cost estimation. This diverse range of offerings encourages healthy competition and stimulates further innovation within the market.
Top Players in Artificial Intelligence in Construction Market
- Oracle
- Autodesk
- Trimble
- SAP
- Caterpillar Inc.
- Komatsu Ltd.
- ABB Ltd.
- Doxel Inc.
- Smartvid.io
- Procore Technologies
- StructionSite
- BuildingConnected
Artificial Intelligence in Construction Market Recent Developments
- January 2024: Siemens and Amazon Web Services are deepening their collaboration to make it even easier for companies across industries to build and scale generative artificial intelligence systems. With this extension, engineering, manufacturing, logistics, economic, and insurance professionals are now able to access leading-edge generative AI technology that will allow domain experts to build and refine applications.
- October 2023: Comcast has stated that it will launch its first batch of customers with Internet services powered by DOCSIS 4.0 with FDX. Comcast is committed to FDX technology. Its partnering with Broadcom makes it easier for Comcast and other operators to adopt a range of technologies. These technologies are expected to offer them a great connection.
- July 2022: Takenaka Corporation is one of the top five general contractors in Japan. ALICE Technologies was selected for several vital projects. Through the architectural pioneering framework of ALICE, it is now possible to employ AI-based building contractors safely and efficiently when bidding, designing, or building huge infrastructures or developing commercial innovations.
Artificial Intelligence in Construction Key Market Trends
- Combining AI with Robotics and the Internet of Things: The artificial intelligence in construction market-shift towards incorporation of robots with artificial intelligence and the Internet of Things. It allows for the efficiency monitoring of resources, progress, and equipment usage on-site real time with the application of IoT-enabling devices. AI and robotics together allow the streamlining of operations further in buildings through automating jobs such as bricklaying, material handling, and 3D printing.
- Focus on Sustainable Construction: The use of AI in the construction industry helps it more towards sustainability. AI technologies help in optimizing energy-efficient structure design, material waste minimization, and maximizing energy use during the entire lifecycle of a building. The future of construction is about AI, given that it supports the need for more energy-efficient and environmentally friendly building solutions as it promotes smarter and sustainable construction processes.
Artificial Intelligence in Construction Market SkyQuest Analysis
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected using Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, artificial intelligence in the construction market is expanding gradually since the industry prefers to automate processes, minimize costs and promote safety. By transforming every aspect of construction from design and planning to project management and asset maintenance, a complete process for automated buildings forms. Robotics, machine learning, and predictive analytics are shaping and changing every single aspect. Asia-Pacific is expected to grow at the highest rate, driven by tremendous investments in infrastructure; currently, however, North America has the most significant market share. With the apparent efficiency, sustainability, and management of risk that AI offers in terms of benefits, its usage in the industry does not have to be at the expense of high costs of implementation and lack of qualified personnel. The growth of AI usage is poised to define the future construction sector.
| Report Metric | Details |
|---|---|
| Market size value in Construction | USD 892.66 Million |
| Market size value in 2032 | USD 12518.34 Million |
| Growth Rate | 34.1% |
| Base year | 2024 |
| Forecast period | 2025-2032 |
| Forecast Unit (Value) | USD Million |
| Segments covered |
|
| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
|
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Artificial Intelligence in Construction Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Artificial Intelligence in Construction Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Artificial Intelligence in Construction Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence in Construction Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Artificial Intelligence in Construction Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Artificial Intelligence in Construction Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
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