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Artificial Intelligence (AI) in Construction Market, Global Outlook and Forecast 2023-2029

Artificial Intelligence (AI) in Construction Market, Global Outlook and Forecast 2023-2029

  • Published on : 30 March 2023
  • Pages :63
  • Report Code:SMR-7622196

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Report overview

The global Artificial Intelligence (AI) in Construction market was valued at US$ 1049.4 million in 2022 and is projected to reach US$ 6501.3 million by 2029, at a CAGR of 29.8% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Artificial intelligence has evolved with improved safety standards and assist in predicting hazards at construction sites before they take place. Therefore, the construction companies have leveraged the artificial intelligence technology in terms of predictive maintenance and risk management solutions. Also, the AI in the construction industry is highly adopted for the development of industrial internet of things (IIoT) based applications for construction sites. IIoT assists project managers with efficient outputs and reduced labor costs, which boosts the demand for artificial intelligence in the industry. Construction companies are focusing on investments in IIoT applications development to implement industry 4.0 and support full automation at their job sites.
The Artificial Intelligence (AI) in Construction industry can be broken down into several segments, Solution, Service, etc.
Across the world, the major players cover Autodesk, IBM, Microsoft, etc.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) 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 (AI) in Construction. This report contains market size and forecasts of Artificial Intelligence (AI) in Construction in global, including the following market information:

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

In the global companies about the artificial Intelligence (AI) in construction, the IBM had the maximum market share with over 32% in 2019.
Between the two types of breakdown about artificial Intelligence (AI) in construction, the solution held more market share with around 67% in 2019.
We surveyed the Artificial Intelligence (AI) 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 (AI) in Construction Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Artificial Intelligence (AI) in Construction Market Segment Percentages, by Type, 2022 (%)

  • Solution
  • Service

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

  • Project Management
  • Field Management
  • Risk Management
  • Schedule Management
  • Other

Global Artificial Intelligence (AI) in Construction Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Artificial Intelligence (AI) 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 (AI) in Construction revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Artificial Intelligence (AI) in Construction revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:

  • Autodesk
  • IBM
  • Microsoft
  • Oracle
  • SAP

Outline of Major Chapters:

  • Chapter 1: Introduces the definition of Artificial Intelligence (AI) in Construction, market overview.
  • Chapter 2: Global Artificial Intelligence (AI) in Construction market size in revenue.
  • Chapter 3: Detailed analysis of Artificial Intelligence (AI) 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 (AI) 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.