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Global Artificial Intelligence in Construction Market Outlook Report 2025

On Sep 28, Global Info Research released "Global Artificial Intelligence in Construction Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031". This report includes an overview of the development of the Artificial Intelligence in Construction industry chain, the market status of Artificial Intelligence in Construction Market, and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial Intelligence in Construction.

According to our latest research, the global Artificial Intelligence in Construction market size will reach USD 2067 million in 2031, growing at a CAGR of 18.7% over the analysis period.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China"s core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China"s data center is less than 1/38 of that of the United States.
This report is a detailed and comprehensive analysis for global Artificial Intelligence in Construction market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.


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https://www.globalinforesearch.com/reports/2903630/artificial-intelligence-in-construction

Market segment by Type: Cloud、 On-premises
Market segment by Application: Residential、 Commercials、 Heavy Construction、 Others
Major players covered:  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
Market segment by region, regional analysis covers: North America (United States, Canada and Mexico), Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe), Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),South America (Brazil, Argentina, Colombia, and Rest of South America),Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).

The content of the study subjects, includes a total of 15 chapters:
Chapter 1,
 to describe Artificial Intelligence in Construction product scope, market overview, market estimation caveats and base year.
Chapter 2,
 to profile the top manufacturers of Artificial Intelligence in Construction, with price, sales, revenue and global market share of Artificial Intelligence in Construction from 2020 to 2025.
Chapter 3, 
the Artificial Intelligence in Construction competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4,
 the Artificial Intelligence in Construction breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2020 to 2031.
Chapter 5 and 6,
 to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11,
 to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2020 to 2024.and Artificial Intelligence in Construction market forecast, by regions, type and application, with sales and revenue, from 2025 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Artificial Intelligence in Construction.
Chapter 14 and 15, to describe Artificial Intelligence in Construction sales channel, distributors, customers, research findings and conclusion.

Data Sources:
Via authorized organizations:customs statistics, industrial associations, relevant international societies, and academic publications etc.
Via trusted Internet sources.Such as industry news, publications on this industry, annual reports of public companies, Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), Trading Economics, News Network, Statista, Federal Reserve Economic Data, BIS Statistics, ICIS, Companies House Documentsm, investor presentations, SEC filings of companies, etc.
Via interviews. Our interviewees includes manufacturers, related companies, industry experts, distributors, business (sales) staff, directors, CEO, marketing executives, executives from related industries/organizations, customers and raw material suppliers to obtain the latest information on the primary market;
Via data exchange. We have been consulting in this industry for 16 years and have collaborations with the players in this field. Thus, we get access to (part of) their unpublished data, by exchanging with them the data we have.

From our partners.We have information agencies as partners and they are located worldwide, thus we get (or purchase) the latest data from them.
Via our long-term tracking and gathering of data from this industry.We have a database that contains history data regarding the market.

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