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The global Artificial Intelligence in Construction market was valued at US$ 437.1 million in 2022 and is projected to reach US$ 1423.5 million by 2029, at a CAGR of 18.4% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Construction, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Construction. This report contains market size and forecasts of Artificial Intelligence in Construction in global, including the following market information:

• Global Artificial Intelligence in Construction Market Revenue, 2018-2023, 2024-2029, ($ millions)
• Global top five companies in 2022 (%)

The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence in Construction include IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, SmarTVid.Io, DarKTrace and Aurora Computer Services, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Artificial Intelligence in Construction companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence in Construction Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Artificial Intelligence in Construction Market Segment Percentages, by Type, 2022 (%)

• Cloud
• On-premises

Global Artificial Intelligence in Construction Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Artificial Intelligence in Construction Market Segment Percentages, by Application, 2022 (%)

• Residential
• Commercials
• Heavy Construction
• Others

Global Artificial Intelligence in Construction Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Artificial Intelligence in Construction Market Segment Percentages, By Region and Country, 2022 (%)

• North America
• US
• Canada
• Mexico
• Europe
• Germany
• France
• U.K.
• Italy
• Russia
• Nordic Countries
• Benelux
• Rest of Europe
• Asia
• China
• Japan
• South Korea
• Southeast Asia
• India
• Rest of Asia
• South America
• Brazil
• Argentina
• Rest of South America
• Middle East & Africa
• Turkey
• Israel
• Saudi Arabia
• UAE
• Rest of Middle East & Africa

Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Artificial Intelligence in Construction revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Artificial Intelligence in Construction revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:

• IBM
• Microsoft
• Oracle
• SAP
• Alice Technologies
• eSUB
• SmarTVid.Io
• DarKTrace
• Aurora Computer Services
• Autodesk
• Jaroop
• Lili.Ai
• Predii
• Assignar
• Deepomatic
• Coins Global
• Beyond
• Doxel
• Askporter
• Plangrid
• Renoworks Software
• Building System Planning
• Bentley Systems

Outline of Major Chapters:

• Chapter 1: Introduces the definition of Artificial Intelligence in Construction, market overview.
• Chapter 2: Global Artificial Intelligence in Construction market size in revenue.
• Chapter 3: Detailed analysis of Artificial Intelligence in Construction company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
• Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
• Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
• Chapter 6: Sales of Artificial Intelligence in Construction in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
• Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
• Chapter 8: The main points and conclusions of the report.