Table of Contents
Chapter 1. Global AI in Construction Market Executive Summary
1.1. Global AI in Construction Market Size & Forecast (2022- 2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Solution
1.3.2. By Deployment
1.3.3. By Construction Stage
1.3.4. By Construction Type
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global AI in Construction Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer's Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global AI in Construction Market Dynamics
3.1. Market Drivers
3.1.1. Increasing Demand for Predictive Analytics and Risk Management
3.1.2. Constant Need for Improved Efficiency and Productivity
3.2. Market Challenges
3.2.1. Concerns Regarding Privacy, Security, and Liability
3.2.2. High Initial Investments and Perceived Risks
3.3. Market Opportunities
3.3.1. Introduction of Advanced Algorithms for Boosting Creativity and Efficiency
3.3.2. Increasing Adoption of AI in Emerging Economies
Chapter 4. Global AI in Construction Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model
4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global AI in Construction Market Size & Forecasts by Solution 2022-2032
5.1. Segment Dashboard
5.2. Global AI in Construction Market: Solution Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. Project Management
5.2.2. Risk Management
5.2.3. Schedule Management
5.2.4. Supply Chain Management
5.2.5. Others (Quality Management, Safety Management)
Chapter 6. Global AI in Construction Market Size & Forecasts by Deployment 2022-2032
6.1. Segment Dashboard
6.2. Global AI in Construction Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. Cloud
6.2.2. On-premises
Chapter 7. Global AI in Construction Market Size & Forecasts by Construction Stage 2022-2032
7.1. Segment Dashboard
7.2. Global AI in Construction Market: Construction Stage Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. Pre-construction
7.2.2. Construction
7.2.3. Post-construction
Chapter 8. Global AI in Construction Market Size & Forecasts by Construction Type 2022-2032
8.1. Segment Dashboard
8.2. Global AI in Construction Market: Construction Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
8.2.1. Residential
8.2.2. Industrial
8.2.3. Commercial
8.2.4. Infrastructure
Chapter 9. Global AI in Construction Market Size & Forecasts by Region 2022-2032
9.1. North America AI in Construction Market
9.1.1. U.S. AI in Construction Market
9.1.1.1. Solution breakdown size & forecasts, 2022-2032
9.1.1.2. Deployment breakdown size & forecasts, 2022-2032
9.1.1.3. Construction Stage breakdown size & forecasts, 2022-2032
9.1.1.4. Construction Type breakdown size & forecasts, 2022-2032
9.1.2. Canada AI in Construction Market
9.2. Europe AI in Construction Market
9.2.1. U.K. AI in Construction Market
9.2.2. Germany AI in Construction Market
9.2.3. France AI in Construction Market
9.2.4. Spain AI in Construction Market
9.2.5. Italy AI in Construction Market
9.2.6. Rest of Europe AI in Construction Market
9.3. Asia-Pacific AI in Construction Market
9.3.1. China AI in Construction Market
9.3.2. India AI in Construction Market
9.3.3. Japan AI in Construction Market
9.3.4. Australia AI in Construction Market
9.3.5. South Korea AI in Construction Market
9.3.6. Rest of Asia Pacific AI in Construction Market
9.4. Latin America AI in Construction Market
9.4.1. Brazil AI in Construction Market
9.4.2. Mexico AI in Construction Market
9.4.3. Rest of Latin America AI in Construction Market
9.5. Middle East & Africa AI in Construction Market
9.5.1. Saudi Arabia AI in Construction Market
9.5.2. South Africa AI in Construction Market
9.5.3. Rest of Middle East & Africa AI in Construction Market
Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. ALICE Technologies Inc. (U.S.)
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Market Strategies
10.3.2. Dassault Systemes (France)
10.3.3. Oracle Corporation (U.S.)
10.3.4. Trimble Inc. (U.S.)
10.3.5. Komatsu (Japan)
10.3.6. Procore Technologies, Inc. (U.S.)
10.3.7. Doxel (U.S.)
10.3.8. Autodesk (U.S.)
10.3.9. SAP SE (Germany)
10.3.10. Bentley Systems (U.S.)
10.3.11. Smartvid.io, Inc.
10.3.12. PlanGrid, Inc.
10.3.13. Dusty Robotics, Inc.
10.3.14. Newmetrix
10.3.15. Disperse.io Ltd.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes