Global Artificial Intelligence (AI) in Construction Competitive Landscape Professional Research Report 2025
Description
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.
According to DIResearch's in-depth investigation and research, the global Artificial Intelligence (AI) in Construction market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers 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 manufacturers, 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 North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, 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 Manufacturers 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 Trends
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 and Forecast Analysis
Chapter 5: Global Artificial Intelligence (AI) in Construction Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Artificial Intelligence (AI) in Construction Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
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.
According to DIResearch's in-depth investigation and research, the global Artificial Intelligence (AI) in Construction market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers 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 manufacturers, 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 North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, 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 Manufacturers 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 Trends
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 and Forecast Analysis
Chapter 5: Global Artificial Intelligence (AI) in Construction Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Artificial Intelligence (AI) in Construction Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
Table of Contents
170 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 Regions
- 4.1 Global Artificial Intelligence (AI) in Construction Overall Market: 2024 VS 2025 VS 2032
- 4.2 Global Artificial Intelligence (AI) in Construction Revenue and Forecast Analysis (2020-2032)
- 4.2.1 Global Artificial Intelligence (AI) in Construction Revenue and Market Share by Region (2020-2025)
- 4.2.2 Global Artificial Intelligence (AI) in Construction Revenue Forecast by Region (2026-2032)
- 5 Global Artificial Intelligence (AI) in Construction Market Size by Type and Application
- 5.1 Global Artificial Intelligence (AI) in Construction Market Size by Type (2020-2032)
- 5.2 Global Artificial Intelligence (AI) in Construction Market Size by Application (2020-2032)
- 6 North America
- 6.1 North America Artificial Intelligence (AI) in Construction Market Size and Growth Rate Analysis (2020-2032)
- 6.2 North America Key Manufacturers Analysis
- 6.3 North America Artificial Intelligence (AI) in Construction Market Size by Type
- 6.4 North America Artificial Intelligence (AI) in Construction Market Size by Application
- 6.5 North America Artificial Intelligence (AI) in Construction Market Size by Country
- 6.5.1 US
- 6.5.2 Canada
- 7 Europe
- 7.1 Europe Artificial Intelligence (AI) in Construction Market Size and Growth Rate Analysis (2020-2032)
- 7.2 Europe Key Manufacturers Analysis
- 7.3 Europe Artificial Intelligence (AI) in Construction Market Size by Type
- 7.4 Europe Artificial Intelligence (AI) in Construction Market Size by Application
- 7.5 Europe Artificial Intelligence (AI) in Construction Market Size by Country
- 7.5.1 Germany
- 7.5.2 France
- 7.5.3 United Kingdom
- 7.5.4 Italy
- 7.5.5 Spain
- 7.5.6 Benelux
- 8 China
- 8.1 China Artificial Intelligence (AI) in Construction Market Size and Growth Rate Analysis (2020-2032)
- 8.2 China Key Manufacturers Analysis
- 8.3 China Artificial Intelligence (AI) in Construction Market Size by Type
- 8.4 China Artificial Intelligence (AI) in Construction Market Size by Application
- 9 APAC (excl. China)
- 9.1 APAC (excl. China) Artificial Intelligence (AI) in Construction Market Size and Growth Rate Analysis (2020-2032)
- 9.2 APAC (excl. China) Key Manufacturers Analysis
- 9.3 APAC (excl. China) Artificial Intelligence (AI) in Construction Market Size by Type
- 9.4 APAC (excl. China) Artificial Intelligence (AI) in Construction Market Size by Application
- 9.5 APAC (excl. China) Artificial Intelligence (AI) in Construction Market Size by Country
- 9.5.1 Japan
- 9.5.2 South Korea
- 9.5.3 India
- 9.5.4 Australia
- 9.5.5 Southeast Asia
- 10 Latin America
- 10.1 Latin America Artificial Intelligence (AI) in Construction Market Size and Growth Rate Analysis (2020-2032)
- 10.2 Latin America Key Manufacturers Analysis
- 10.3 Latin America Artificial Intelligence (AI) in Construction Market Size by Type
- 10.4 Latin America Artificial Intelligence (AI) in Construction Market Size by Application
- 10.5 Latin America Artificial Intelligence (AI) in Construction Market Size by Country
- 10.5.1 Mexico
- 10.5.2 Brazil
- 11 Middle East & Africa
- 11.1 Middle East & Africa Artificial Intelligence (AI) in Construction Market Size and Growth Rate Analysis (2020-2032)
- 11.2 Middle East & Africa Key Manufacturers Analysis
- 11.3 Middle East & Africa Artificial Intelligence (AI) in Construction Market Size by Type
- 11.4 Middle East & Africa Artificial Intelligence (AI) in Construction Market Size by Application
- 11.5 Middle East & Africa Artificial Intelligence (AI) in Construction Market Size by Country
- 11.5.1 Saudi Arabia
- 11.5.2 South Africa
- 12 Competition by Manufacturers
- 12.1 Global Artificial Intelligence (AI) in Construction Market Revenue by Key Manufacturers (2021-2025)
- 12.2 Artificial Intelligence (AI) in Construction Competitive Landscape Analysis and Market Dynamic
- 12.2.1 Artificial Intelligence (AI) in Construction Competitive Landscape Analysis
- 12.2.2 Global Key Manufacturers Headquarter Location and Key Area Sales
- 12.2.3 Market Dynamic
- 13 Key Companies Analysis
- 13.1 Autodesk
- 13.1.1 Autodesk Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.1.2 Autodesk Artificial Intelligence (AI) in Construction Product Portfolio
- 13.1.3 Autodesk Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.2 IBM
- 13.2.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.2.2 IBM Artificial Intelligence (AI) in Construction Product Portfolio
- 13.2.3 IBM Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.3 Microsoft
- 13.3.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.3.2 Microsoft Artificial Intelligence (AI) in Construction Product Portfolio
- 13.3.3 Microsoft Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.4 Oracle
- 13.4.1 Oracle Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.4.2 Oracle Artificial Intelligence (AI) in Construction Product Portfolio
- 13.4.3 Oracle Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 13.5 SAP
- 13.5.1 SAP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.5.2 SAP Artificial Intelligence (AI) in Construction Product Portfolio
- 13.5.3 SAP Artificial Intelligence (AI) in Construction Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 14 Industry Chain Analysis
- 14.1 Artificial Intelligence (AI) in Construction Industry Chain Analysis
- 14.2 Artificial Intelligence (AI) in Construction Industry Raw Material and Suppliers Analysis
- 14.2.1 Artificial Intelligence (AI) in Construction Key Raw Material Supply Analysis
- 14.2.2 Raw Material Suppliers and Contact Information
- 14.3 Artificial Intelligence (AI) in Construction Typical Downstream Customers
- 14.4 Artificial Intelligence (AI) in Construction Sales Channel Analysis
- 15 Research Findings and Conclusion
- 16 Methodology and Data Source
- 16.1 Methodology/Research Approach
- 16.2 Research Scope
- 16.3 Benchmarks and Assumptions
- 16.4 Date Source
- 16.4.1 Primary Sources
- 16.4.2 Secondary Sources
- 16.5 Data Cross Validation
- 16.6 Disclaimer
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