Global Artificial Intelligence (AI) in Construction Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence (AI) in Construction market size will reach 2,464.93 Million USD in 2025 and is projected to reach 18,346.89 Million USD by 2032, with a CAGR of 33.21% (2025-2032). Notably, the China Artificial Intelligence (AI) in Construction market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial Intelligence (AI) in construction refers to the utilization of machine learning algorithms and other technological innovations to automate various processes involved in the building and construction industry. AI can help streamline project management, reduce costs, improve safety, manage risk, and enhance the overall efficiency of construction projects. The technology is used to predict potential safety hazards and create more accurate project estimates using historical data, which assists in reducing budget overruns. AI applications in construction include autonomous robots, drones, and virtual assistants.
The major global suppliers of Artificial Intelligence (AI) in Construction include Autodesk, IBM, Microsoft, Oracle, SAP, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence (AI) in Construction. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence (AI) in Construction market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence (AI) in Construction market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence (AI) in Construction industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence (AI) in Construction Include:
Autodesk
IBM
Microsoft
Oracle
SAP
Artificial Intelligence (AI) in Construction Product Segment Include:
Solution
Service
Artificial Intelligence (AI) in Construction Product Application Include:
Project Management
Field Management
Risk Management
Schedule Management
Other
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence (AI) in Construction Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence (AI) in Construction Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence (AI) in Construction Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence (AI) in Construction Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence (AI) in Construction Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence (AI) in Construction Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence (AI) in Construction market size will reach 2,464.93 Million USD in 2025 and is projected to reach 18,346.89 Million USD by 2032, with a CAGR of 33.21% (2025-2032). Notably, the China Artificial Intelligence (AI) in Construction market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial Intelligence (AI) in construction refers to the utilization of machine learning algorithms and other technological innovations to automate various processes involved in the building and construction industry. AI can help streamline project management, reduce costs, improve safety, manage risk, and enhance the overall efficiency of construction projects. The technology is used to predict potential safety hazards and create more accurate project estimates using historical data, which assists in reducing budget overruns. AI applications in construction include autonomous robots, drones, and virtual assistants.
The major global suppliers of Artificial Intelligence (AI) in Construction include Autodesk, IBM, Microsoft, Oracle, SAP, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence (AI) in Construction. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence (AI) in Construction market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence (AI) in Construction market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence (AI) in Construction industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence (AI) in Construction Include:
Autodesk
IBM
Microsoft
Oracle
SAP
Artificial Intelligence (AI) in Construction Product Segment Include:
Solution
Service
Artificial Intelligence (AI) in Construction Product Application Include:
Project Management
Field Management
Risk Management
Schedule Management
Other
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence (AI) in Construction Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence (AI) in Construction Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence (AI) in Construction Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence (AI) in Construction Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence (AI) in Construction Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence (AI) in Construction Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Artificial Intelligence (AI) in Construction Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Artificial Intelligence (AI) in Construction Product by Type
- 1.2.1 Solution
- 1.2.2 Service
- 1.3 Artificial Intelligence (AI) in Construction Product by Application
- 1.3.1 Project Management
- 1.3.2 Field Management
- 1.3.3 Risk Management
- 1.3.4 Schedule Management
- 1.3.5 Other
- 1.4 Global Artificial Intelligence (AI) in Construction Market Size Analysis (2020-2032)
- 1.5 Artificial Intelligence (AI) in Construction Market Development Status and Trends
- 1.5.1 Artificial Intelligence (AI) in Construction Industry Development Status Analysis
- 1.5.2 Artificial Intelligence (AI) in Construction Industry Development Trends Analysis
- 2 Artificial Intelligence (AI) in Construction Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Artificial Intelligence (AI) in Construction Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Artificial Intelligence (AI) in Construction Market Analysis by Country
- 4.1 Global Artificial Intelligence (AI) in Construction Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global Artificial Intelligence (AI) in Construction Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Artificial Intelligence (AI) in Construction Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.5 China Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.6 France Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.14 India Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Artificial Intelligence (AI) in Construction Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Artificial Intelligence (AI) in Construction Market Revenue by Key Suppliers (2021-2025)
- 5.2 Artificial Intelligence (AI) in Construction Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Artificial Intelligence (AI) in Construction Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Artificial Intelligence (AI) in Construction Market Analysis by Type
- 6.1 Global Artificial Intelligence (AI) in Construction Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global Artificial Intelligence (AI) in Construction Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 Autodesk
- 7.1.1 Autodesk Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 Autodesk Artificial Intelligence (AI) in Construction Product Portfolio
- 7.1.3 Autodesk Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 IBM
- 7.2.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 IBM Artificial Intelligence (AI) in Construction Product Portfolio
- 7.2.3 IBM Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Microsoft
- 7.3.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Microsoft Artificial Intelligence (AI) in Construction Product Portfolio
- 7.3.3 Microsoft Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Oracle
- 7.4.1 Oracle Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Oracle Artificial Intelligence (AI) in Construction Product Portfolio
- 7.4.3 Oracle Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 SAP
- 7.5.1 SAP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 SAP Artificial Intelligence (AI) in Construction Product Portfolio
- 7.5.3 SAP Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Artificial Intelligence (AI) in Construction Industry Chain Analysis
- 8.2 Artificial Intelligence (AI) in Construction Product Downstream Application Analysis
- 8.2.1 Global Artificial Intelligence (AI) in Construction Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Artificial Intelligence (AI) in Construction Revenue and Forecast by Application (2020-2032)
- 8.3 Artificial Intelligence (AI) in Construction Typical Downstream Customers
- 8.4 Artificial Intelligence (AI) in Construction Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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