Part 1
Part 2
Part 3
Part 5
Description
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.
Artificial Intelligence (AI) in Construction Market Size
M= millions and B=billions
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.
The global market for Artificial Intelligence (AI) in Construction was estimated to be worth US$ 1019.9 million in 2023 and is forecast to a readjusted size of US$ 6925.4 million by 2030 with a CAGR of 31.1% during the forecast period 2024-2030
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Construction, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence (AI) in Construction by region & country, by Type, and by Application.
The Artificial Intelligence (AI) in Construction market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
Report Metric
Details
Report Title
Artificial Intelligence (AI) in Construction - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Forecasted Market Size in 2030
US$ 6925.4 million
CAGR(2024-2030)
31.1%
Market Size Available for Years
2019-2030
Global Artificial Intelligence (AI) in Construction Companies Covered
Autodesk, IBM, Microsoft, Oracle, SAP
Global Artificial Intelligence (AI) in Construction Market, by Region
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence (AI) in Construction Market, Segment by Type
Solution
Service
Global Artificial Intelligence (AI) in Construction Market, Segment by Application
Project Management
Field Management
Risk Management
Schedule Management
Other
Forecast Units
USD million in value
Report Coverage
Revenue and volume forecast, company share, competitive landscape, growth factors and trends
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence (AI) in Construction manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial Intelligence (AI) in Construction in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence (AI) in Construction in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
1.1 Artificial Intelligence (AI) in Construction Product Introduction
1.2 Global Artificial Intelligence (AI) in Construction Market Size Forecast
1.3 Artificial Intelligence (AI) in Construction Market Trends & Drivers
1.3.1 Artificial Intelligence (AI) in Construction Industry Trends
1.3.2 Artificial Intelligence (AI) in Construction Market Drivers & Opportunity
1.3.3 Artificial Intelligence (AI) in Construction Market Challenges
1.3.4 Artificial Intelligence (AI) in Construction Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence (AI) in Construction Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence (AI) in Construction Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence (AI) in Construction Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence (AI) in Construction Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in Construction
2.6 Artificial Intelligence (AI) in Construction Market Competitive Analysis
2.6.1 Artificial Intelligence (AI) in Construction Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence (AI) in Construction Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Construction as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Solution
3.1.2 Service
3.2 Global Artificial Intelligence (AI) in Construction Sales Value by Type
3.2.1 Global Artificial Intelligence (AI) in Construction Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence (AI) in Construction Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence (AI) in Construction Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Project Management
4.1.2 Field Management
4.1.3 Risk Management
4.1.4 Schedule Management
4.1.5 Other
4.2 Global Artificial Intelligence (AI) in Construction Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) in Construction Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence (AI) in Construction Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence (AI) in Construction Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) in Construction Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) in Construction Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence (AI) in Construction Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence (AI) in Construction Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence (AI) in Construction Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) in Construction Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence (AI) in Construction Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.5.2 China Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence (AI) in Construction Sales Value, 2019-2030
6.9.2 India Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence (AI) in Construction Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Autodesk
7.1.1 Autodesk Profile
7.1.2 Autodesk Main Business
7.1.3 Autodesk Artificial Intelligence (AI) in Construction Products, Services and Solutions
7.1.4 Autodesk Artificial Intelligence (AI) in Construction Revenue (US$ Million) & (2019-2024)
7.1.5 Autodesk Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Artificial Intelligence (AI) in Construction Products, Services and Solutions
7.2.4 IBM Artificial Intelligence (AI) in Construction Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Microsoft
7.3.1 Microsoft Profile
7.3.2 Microsoft Main Business
7.3.3 Microsoft Artificial Intelligence (AI) in Construction Products, Services and Solutions
7.3.4 Microsoft Artificial Intelligence (AI) in Construction Revenue (US$ Million) & (2019-2024)
7.3.5 Oracle Recent Developments
7.4 Oracle
7.4.1 Oracle Profile
7.4.2 Oracle Main Business
7.4.3 Oracle Artificial Intelligence (AI) in Construction Products, Services and Solutions
7.4.4 Oracle Artificial Intelligence (AI) in Construction Revenue (US$ Million) & (2019-2024)
7.4.5 Oracle Recent Developments
7.5 SAP
7.5.1 SAP Profile
7.5.2 SAP Main Business
7.5.3 SAP Artificial Intelligence (AI) in Construction Products, Services and Solutions
7.5.4 SAP Artificial Intelligence (AI) in Construction Revenue (US$ Million) & (2019-2024)
7.5.5 SAP Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) in Construction Industrial Chain
8.2 Artificial Intelligence (AI) in Construction Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence (AI) in Construction Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence (AI) in Construction Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Table of Figures
List of Tables
Table 1. Artificial Intelligence (AI) in Construction Market Trends
Table 2. Artificial Intelligence (AI) in Construction Market Drivers & Opportunity
Table 3. Artificial Intelligence (AI) in Construction Market Challenges
Table 4. Artificial Intelligence (AI) in Construction Market Restraints
Table 5. Global Artificial Intelligence (AI) in Construction Revenue by Company (2019-2024) & (US$ Million)
Table 6. Global Artificial Intelligence (AI) in Construction Revenue Market Share by Company (2019-2024)
Table 7. Key Companies Artificial Intelligence (AI) in Construction Manufacturing Base Distribution and Headquarters
Table 8. Key Companies Artificial Intelligence (AI) in Construction Product Type
Table 9. Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in Construction
Table 10. Global Artificial Intelligence (AI) in Construction Companies Market Concentration Ratio (CR5 and HHI)
Table 11. Global Top Companies Market Share by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Construction as of 2023)
Table 12. Mergers & Acquisitions, Expansion Plans
Table 13. Global Artificial Intelligence (AI) in Construction Sales Value by Type: 2019 VS 2023 VS 2030 (US$ Million)
Table 14. Global Artificial Intelligence (AI) in Construction Sales Value by Type (2019-2024) & (US$ Million)
Table 15. Global Artificial Intelligence (AI) in Construction Sales Value by Type (2025-2030) & (US$ Million)
Table 16. Global Artificial Intelligence (AI) in Construction Sales Market Share in Value by Type (2019-2024) & (%)
Table 17. Global Artificial Intelligence (AI) in Construction Sales Market Share in Value by Type (2025-2030) & (%)
Table 18. Global Artificial Intelligence (AI) in Construction Sales Value by Application: 2019 VS 2023 VS 2030 (US$ Million)
Table 19. Global Artificial Intelligence (AI) in Construction Sales Value by Application (2019-2024) & (US$ Million)
Table 20. Global Artificial Intelligence (AI) in Construction Sales Value by Application (2025-2030) & (US$ Million)
Table 21. Global Artificial Intelligence (AI) in Construction Sales Market Share in Value by Application (2019-2024) & (%)
Table 22. Global Artificial Intelligence (AI) in Construction Sales Market Share in Value by Application (2025-2030) & (%)
Table 23. Global Artificial Intelligence (AI) in Construction Sales Value by Region: 2019 VS 2023 VS 2030 (US$ Million)
Table 24. Global Artificial Intelligence (AI) in Construction Sales Value by Region (2019-2024) & (US$ Million)
Table 25. Global Artificial Intelligence (AI) in Construction Sales Value by Region (2025-2030) & (US$ Million)
Table 26. Global Artificial Intelligence (AI) in Construction Sales Value by Region (2019-2024) & (%)
Table 27. Global Artificial Intelligence (AI) in Construction Sales Value by Region (2025-2030) & (%)
Table 28. Key Countries/Regions Artificial Intelligence (AI) in Construction Sales Value Growth Trends, (US$ Million): 2019 VS 2023 VS 2030
Table 29. Key Countries/Regions Artificial Intelligence (AI) in Construction Sales Value, (2019-2024) & (US$ Million)
Table 30. Key Countries/Regions Artificial Intelligence (AI) in Construction Sales Value, (2025-2030) & (US$ Million)
Table 31. Autodesk Basic Information List
Table 32. Autodesk Description and Business Overview
Table 33. Autodesk Artificial Intelligence (AI) in Construction Products, Services and Solutions
Table 34. Revenue (US$ Million) in Artificial Intelligence (AI) in Construction Business of Autodesk (2019-2024)
Table 35. Autodesk Recent Developments
Table 36. IBM Basic Information List
Table 37. IBM Description and Business Overview
Table 38. IBM Artificial Intelligence (AI) in Construction Products, Services and Solutions
Table 39. Revenue (US$ Million) in Artificial Intelligence (AI) in Construction Business of IBM (2019-2024)
Table 40. IBM Recent Developments
Table 41. Microsoft Basic Information List
Table 42. Microsoft Description and Business Overview
Table 43. Microsoft Artificial Intelligence (AI) in Construction Products, Services and Solutions
Table 44. Revenue (US$ Million) in Artificial Intelligence (AI) in Construction Business of Microsoft (2019-2024)
Table 45. Microsoft Recent Developments
Table 46. Oracle Basic Information List
Table 47. Oracle Description and Business Overview
Table 48. Oracle Artificial Intelligence (AI) in Construction Products, Services and Solutions
Table 49. Revenue (US$ Million) in Artificial Intelligence (AI) in Construction Business of Oracle (2019-2024)
Table 50. Oracle Recent Developments
Table 51. SAP Basic Information List
Table 52. SAP Description and Business Overview
Table 53. SAP Artificial Intelligence (AI) in Construction Products, Services and Solutions
Table 54. Revenue (US$ Million) in Artificial Intelligence (AI) in Construction Business of SAP (2019-2024)
Table 55. SAP Recent Developments
Table 56. Key Raw Materials Lists
Table 57. Raw Materials Key Suppliers Lists
Table 58. Artificial Intelligence (AI) in Construction Downstream Customers
Table 59. Artificial Intelligence (AI) in Construction Distributors List
Table 60. Research Programs/Design for This Report
Table 61. Key Data Information from Secondary Sources
Table 62. Key Data Information from Primary Sources
Table 63. Business Unit and Senior & Team Lead Analysts
List of Figures
Figure 1. Artificial Intelligence (AI) in Construction Product Picture
Figure 2. Global Artificial Intelligence (AI) in Construction Sales Value, 2019 VS 2023 VS 2030 (US$ Million)
Figure 3. Global Artificial Intelligence (AI) in Construction Sales Value (2019-2030) & (US$ Million)
Figure 4. Artificial Intelligence (AI) in Construction Report Years Considered
Figure 5. Global Artificial Intelligence (AI) in Construction Players Revenue Ranking (2023) & (US$ Million)
Figure 6. The 5 and 10 Largest Manufacturers in the World: Market Share by Artificial Intelligence (AI) in Construction Revenue in 2023
Figure 7. Artificial Intelligence (AI) in Construction Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
Figure 8. Solution Picture
Figure 9. Service Picture
Figure 10. Global Artificial Intelligence (AI) in Construction Sales Value by Type (2019 VS 2023 VS 2030) & (US$ Million)
Figure 11. Global Artificial Intelligence (AI) in Construction Sales Value Market Share by Type, 2023 & 2030
Figure 12. Product Picture of Project Management
Figure 13. Product Picture of Field Management
Figure 14. Product Picture of Risk Management
Figure 15. Product Picture of Schedule Management
Figure 16. Product Picture of Other
Figure 17. Global Artificial Intelligence (AI) in Construction Sales Value by Application (2019 VS 2023 VS 2030) & (US$ Million)
Figure 18. Global Artificial Intelligence (AI) in Construction Sales Value Market Share by Application, 2023 & 2030
Figure 19. North America Artificial Intelligence (AI) in Construction Sales Value (2019-2030) & (US$ Million)
Figure 20. North America Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
Figure 21. Europe Artificial Intelligence (AI) in Construction Sales Value (2019-2030) & (US$ Million)
Figure 22. Europe Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
Figure 23. Asia Pacific Artificial Intelligence (AI) in Construction Sales Value (2019-2030) & (US$ Million)
Figure 24. Asia Pacific Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
Figure 25. South America Artificial Intelligence (AI) in Construction Sales Value (2019-2030) & (US$ Million)
Figure 26. South America Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
Figure 27. Middle East & Africa Artificial Intelligence (AI) in Construction Sales Value (2019-2030) & (US$ Million)
Figure 28. Middle East & Africa Artificial Intelligence (AI) in Construction Sales Value by Country (%), 2023 VS 2030
Figure 29. Key Countries/Regions Artificial Intelligence (AI) in Construction Sales Value (%), (2019-2030)
Figure 30. United States Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 31. United States Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 32. United States Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 33. Europe Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 34. Europe Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 35. Europe Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 36. China Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 37. China Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 38. China Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 39. Japan Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 40. Japan Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 41. Japan Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 42. South Korea Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 43. South Korea Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 44. South Korea Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 45. Southeast Asia Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 46. Southeast Asia Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 47. Southeast Asia Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 48. India Artificial Intelligence (AI) in Construction Sales Value, (2019-2030) & (US$ Million)
Figure 49. India Artificial Intelligence (AI) in Construction Sales Value by Type (%), 2023 VS 2030
Figure 50. India Artificial Intelligence (AI) in Construction Sales Value by Application (%), 2023 VS 2030
Figure 51. Artificial Intelligence (AI) in Construction Industrial Chain
Figure 52. Artificial Intelligence (AI) in Construction Manufacturing Cost Structure
Figure 53. Channels of Distribution (Direct Sales, and Distribution)
Figure 54. Bottom-up and Top-down Approaches for This Report
Figure 55. Data Triangulation
Description
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.
The global market for Artificial Intelligence (AI) in Construction was estimated to be worth US$ 1019.9 million in 2023 and is forecast to a readjusted size of US$ 6925.4 million by 2030 with a CAGR of 31.1% during the forecast period 2024-2030
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Construction, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence (AI) in Construction by region & country, by Type, and by Application.
The Artificial Intelligence (AI) in Construction market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence (AI) in Construction manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial Intelligence (AI) in Construction in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence (AI) in Construction in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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English
Simon Lee
English
Hitesh
Chinese
Damon
Japanese
Tang Xin
Korean
Sung-Bin Yoon
Competition
Key players, new entrants,acquisitions, mergers and expansions,development trends and challenges.
Industry Analysis
Rawmaterial, application, product type, demand,supply,downstream, supply chain etc.
Market Size
Capacity, production, sales, revenue, price, cost etc.
Customized Information
We can offer customized survey and information to meet ourclient's need.
Fastest report delivery service
More than 18 years of vast experience
Operation for 24 * 7 & 365 days
In-depth and comprehensive analysis
Professional and timely after-sales service
Owns large database
English
Simon Lee
English
Hitesh
Chinese
Damon
Japanese
Tang Xin
Korean
Sung-Bin Yoon
Competition
Key players, new entrants,acquisitions, mergers and expansions,development trends and challenges.
Industry Analysis
Rawmaterial, application, product type, demand,supply,downstream, supply chain etc.
Market Size
Capacity, production, sales, revenue, price, cost etc.
Customized Information
We can offer customized survey and information to meet ourclient's need.
Fastest report delivery service
More than 18 years of vast experience
Operation for 24 * 7 & 365 days
In-depth and comprehensive analysis
Professional and timely after-sales service
Owns large database
Add to Cart
Buy Now