Case studies and growth forecast of AI market in the construction industry
The most recent worldwide forecast study offers a thorough outlook on the AI in Construction industry size 2025, providing vital insights into developing trends, market dynamics, and global potential possibilities. This extensively researched analysis looks into the inner aspects of several industries, providing stakeholders with a road map for navigating the ever-changing global economic landscape.
The global AI in Construction Market size was valued at USD 3.20 billion in 2023 and is projected to grow from USD 3.93 billion in 2024 to USD 22.68 billion by 2032, exhibiting a CAGR of 24.5% during the forecast period. North America dominated the AI in construction market with a market share of 38.75% in 2023.
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This report aims to provide a comprehensive presentation of the global market for AI in Construction, including both quantitative and qualitative analysis, to assist readers in developing business/growth strategies, assessing the market competitive situation, analyzing their position in the current marketplace, and making informed business decisions about AI in Construction market.
The Global AI in Construction Market Size research report provides an in-depth analysis of revenue growth, market definition, segmentation, industry potential, and significant trends to help readers understand the market’s future prospects and current state.
Key players covered in the global AI in Construction Market research report:
- Autodesk (U.S.)
- SAP SE (Germany)
- Bentley Systems (U.S.)
- ALICE Technologies Inc. (U.S.)
- Dassault Systèmes (France)
- Oracle Corporation (U.S.)
- Trimble Inc. (U.S.)
- Komatsu (Japan)
- Procore Technologies, Inc. (U.S.)
- Doxel (U.S.)
Reasons to Buy This Report
This report will assist users in understanding industry competitiveness and competitive strategies for maximizing potential profit. The research also covers the competitive landscape of the worldwide AI in Construction market. It describes the main players’ market share, industry ranking, competitor ecosystem, market performance, new product development, operational situation, expansion, and acquisition, among other things, allowing readers to identify the main competitors and gain a thorough understanding of the market’s competitive pattern.
This report will assist stakeholders understand the global industry state and trends of AI in Construction market by providing information on key market drivers, constraints, challenges, and opportunities.
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Key Market Segmentations:
By Solution
- Project Management
- Risk Management
- Schedule Management
- Supply Chain Management
- Others (Quality Management, Safety Management)
By Deployment
- Cloud
- On-premises
- By Construction Stage
- Pre-construction
- Construction
- Post-construction
By Construction Type
- Residential
- Industrial
- Commercial
- Infrastructure
Key Stakeholders
- Natural substance providers
- Merchants/brokers/wholesalers/providers
- Administrative bodies, including government organizations and NGO
- Business innovative work (RandD) establishments
- Merchants and exporters
- Government associations, research associations, and counseling firms
- Exchange affiliations and industry bodies
- End-use enterprises
Major Table of Contents for AI in Construction Market Research Report:
- Introduction
- Executive Summary
- Market Dynamics
- Key Market Growth Insights
- Global Market Analysis, Insights and Forecast, 2025-2032
- North America Market Analysis, Insights and Forecast, 2025-2032
- Europe Market Analysis, Insights and Forecast, 2025-2032
- Asia Pacific Market Analysis, Insights and Forecast, 2025-2032
- The Middle East and Africa Market Analysis, Insights and Forecast, 2025-2032
- Latin America Market Analysis, Insights and Forecast, 2025-2032
- Competitive Landscape
- Global Contract Development and Manufacturing Organization Market Revenue Growth, Industry Share Analysis, By Key Players, 2025
- Company Profiles
- Conclusion
Detailed Table of Contents:
1. Executive Summary
1.1 Overview
1.2 Key Findings
2. Introduction
2.1 Background
2.2 Scope and Objectives
2.3 Methodology
3. AI in Construction Market Growth Overview
3.1 Definition and Classification
3.2 AI in Construction Market Share Drivers
3.3 Market Restraints
3.4 Market Opportunities
3.5 Industry Challenges
4. Global Trends and Forecast
4.1 Overview
4.2 AI in Construction Industry Share Trends
4.3 Industry Share and Future Outlook
4.4 Growth Prospects
5. AI in Construction Industry Size Regional Analysis
5.1 North America
5.2 Europe
5.3 Asia-Pacific
5.4 Latin America
5.5 Middle East and Africa
6. AI in Construction Industry Analysis
6.1 AI in Construction Market Key Players
6.2 Market Concentration
6.3 Competitive Landscape
6.4 SWOT Analysis
7. Market Segmentation
8. Conclusion
9. Recommendations
10. Appendix
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