Global Artificial Intelligence AI in Construction Market Overview And Scope:
Global Artificial Intelligence AI in Construction Market Size was estimated at USD 1341.73 million in 2022 and is projected to reach USD 6909.65 million by 2028, exhibiting a CAGR of 31.41% during the forecast period.
The Global Artificial Intelligence AI in Construction Market Report 2023 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Artificial Intelligence AI in Construction utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2023 and 2030. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
Top Key Players Mentioned Are: Autodesk, IBM, Microsoft, Oracle, SAP
Global Artificial Intelligence AI in Construction Market Segmentation
By Type, Artificial Intelligence AI in Construction market has been segmented into:Solution
Service
Artificial Intelligence (AI)
By Application, Artificial Intelligence AI in Construction market has been segmented into:
Project Management
Field Management
Risk Management
Schedule Management
Other
Regional Analysis:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence AI in Construction market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence AI in Construction market.
Top Key Players Covered in Artificial Intelligence AI in Construction market are:
Autodesk
IBM
Microsoft
Oracle
SAP
Objective to buy this Report:
1. Artificial Intelligence AI in Construction analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Artificial Intelligence AI in Construction market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Artificial Intelligence AI in Construction Market by Type
5.1 Artificial Intelligence AI in Construction Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence AI in Construction Market Overview
5.3 Solution
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2030F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Solution: Geographic Segmentation
5.4 Service
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2030F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Service: Geographic Segmentation
5.5 Artificial Intelligence (AI)
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2016-2030F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Artificial Intelligence (AI): Geographic Segmentation
Chapter 6: Artificial Intelligence AI in Construction Market by Application
6.1 Artificial Intelligence AI in Construction Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence AI in Construction Market Overview
6.3 Project Management
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2030F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Project Management: Geographic Segmentation
6.4 Field Management
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2030F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Field Management: Geographic Segmentation
6.5 Risk Management
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2030F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Risk Management: Geographic Segmentation
6.6 Schedule Management
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2016-2030F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Schedule Management: Geographic Segmentation
6.7 Other
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2016-2030F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Other: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Artificial Intelligence AI in Construction Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Artificial Intelligence AI in Construction Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Artificial Intelligence AI in Construction Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 AUTODESK
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 IBM
7.4 MICROSOFT
7.5 ORACLE
7.6 SAP
Chapter 8: Global Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 Solution
8.2.2 Service
8.2.3 Artificial Intelligence (AI)
8.3 Historic and Forecasted Market Size By Application
8.3.1 Project Management
8.3.2 Field Management
8.3.3 Risk Management
8.3.4 Schedule Management
8.3.5 Other
Chapter 9: North America Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 Solution
9.4.2 Service
9.4.3 Artificial Intelligence (AI)
9.5 Historic and Forecasted Market Size By Application
9.5.1 Project Management
9.5.2 Field Management
9.5.3 Risk Management
9.5.4 Schedule Management
9.5.5 Other
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 Solution
10.4.2 Service
10.4.3 Artificial Intelligence (AI)
10.5 Historic and Forecasted Market Size By Application
10.5.1 Project Management
10.5.2 Field Management
10.5.3 Risk Management
10.5.4 Schedule Management
10.5.5 Other
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 Solution
11.4.2 Service
11.4.3 Artificial Intelligence (AI)
11.5 Historic and Forecasted Market Size By Application
11.5.1 Project Management
11.5.2 Field Management
11.5.3 Risk Management
11.5.4 Schedule Management
11.5.5 Other
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 Solution
12.4.2 Service
12.4.3 Artificial Intelligence (AI)
12.5 Historic and Forecasted Market Size By Application
12.5.1 Project Management
12.5.2 Field Management
12.5.3 Risk Management
12.5.4 Schedule Management
12.5.5 Other
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 Solution
13.4.2 Service
13.4.3 Artificial Intelligence (AI)
13.5 Historic and Forecasted Market Size By Application
13.5.1 Project Management
13.5.2 Field Management
13.5.3 Risk Management
13.5.4 Schedule Management
13.5.5 Other
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Artificial Intelligence AI in Construction Market Analysis, Insights and Forecast, 2016-2030
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 Solution
14.4.2 Service
14.4.3 Artificial Intelligence (AI)
14.5 Historic and Forecasted Market Size By Application
14.5.1 Project Management
14.5.2 Field Management
14.5.3 Risk Management
14.5.4 Schedule Management
14.5.5 Other
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Artificial Intelligence AI in Construction Scope:
Report Data
|
Artificial Intelligence AI in Construction Market
|
Artificial Intelligence AI in Construction Market Size in 2022
|
USD 1341.73 million
|
Artificial Intelligence AI in Construction CAGR 2023 - 2030
|
31.41%
|
Artificial Intelligence AI in Construction Base Year
|
2022
|
Artificial Intelligence AI in Construction Forecast Data
|
2023 - 2030
|
Segments Covered
|
By Type, By Application, And by Regions
|
Regional Scope
|
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
|
Key Companies Profiled
|
Autodesk, IBM, Microsoft, Oracle, SAP.
|
Key Segments
|
By Type
Solution Service Artificial Intelligence (AI)
By Applications
Project Management Field Management Risk Management Schedule Management Other
|