건설 분야 AI 시장 : 예측(2025-2030년)

The AI in construction market is set to witness robust growth at a CAGR of 23.08% during the forecast period, worth US$22.768 billion in 2030 from US$8.060 billion in 2025.

The integration of artificial intelligence (AI) in construction leverages advanced systems to design, implement, and optimize AI-driven technologies for improving construction projects. Key innovations include machine learning (ML) algorithms, computer vision, and natural language processing (NLP) tools, which streamline critical functions such as project, risk, time, supply chain, quality, and safety management. This shift is fueled by the industry's growing emphasis on sustainability, efficiency, and cost-effectiveness. As one of the fastest-evolving sectors in construction, AI presents vast opportunities for innovation and transformative change.

AI in Construction Market Growth Drivers:

• Rising Demand for Risk Management & Predictive Analytics: The construction sector is increasingly adopting AI to power risk modeling and predictive analytics, driving market expansion. Advanced ML systems analyze large datasets-such as project timelines, budgets, resource allocation, and performance metrics-to identify patterns and forecast delays or bottlenecks. Growing recognition of AI's role in mitigating risks and ensuring project success further accelerates adoption.
• Surging Focus on Productivity & Efficiency: Escalating demand for higher productivity is reshaping the industry. Complex projects with tight deadlines, multi-site operations, and budget constraints often overwhelm traditional management methods, leading to delays and cost overruns. To address this, firms are deploying AI solutions (e.g., computer vision, ML) to automate workflows, enhance data analysis, and support decision-making.

AI in Construction Market Regional Insights:

The market's growth is analyzed across five key regions:

• North America: Expansion is driven by rising AI investments and infrastructure development.
• Europe: A mature construction sector prioritizing sustainability, efficiency, and quality is expected to secure a significant market share, bolstered by AI adoption.
• Asia Pacific: Rapid infrastructure growth and increased construction spending are propelling regional market growth.
• South America, Middle East & Africa: Steady advancements in construction practices are anticipated to spur growth in these regions.

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Reasons for buying this report:-

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

• Historical data & forecasts from 2022 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI in Construction Market is analyzed into the following segments:

By Application

• Project Management
• Planning and Design
• Safety
• Autonomous Equipment
• Monitoring and Maintenance

By Construction Stage

• Pre-Construction
• Construction
• Post-Construction

By Deployment

• On-Premises
• Cloud Based

By Industry

• Residential
• Commercial
• Others

By Geography

• North America
• United States
• Canada
• Mexico
• South America
• Brazil
• Argentina
• Others
• Europe
• United Kingdom
• Germany
• France
• Spain
• Others
• Middle East and Africa
• Saudi Arabia
• UAE
• Others
• Asia Pacific
• China
• Japan
• India
• South Korea
• Taiwan
• Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

• 2.1. Market Overview
• 2.2. Market Definition
• 2.3. Scope of the Study
• 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

• 3.1. Market Drivers
• 3.2. Market Restraints
• 3.3. Market Opportunities
• 3.4. Porter's Five Forces Analysis
• 3.5. Industry Value Chain Analysis
• 3.6. Policies and Regulations
• 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. AI IN CONSTRUCTION MARKET BY APPLICATION

• 5.1. Introduction
• 5.2. Project Management
• 5.3. Planning and Design
• 5.4. Safety
• 5.5. Autonomous Equipment
• 5.6. Monitoring and Maintenance

6. AI IN CONSTRUCTION MARKET BY CONSTRUCTION STAGE

• 6.1. Introduction
• 6.2. Pre-Construction
• 6.3. Construction
• 6.4. Post-Construction

7. AI IN CONSTRUCTION MARKET BY DEPLOYMENT

• 7.1. Introduction
• 7.2. On-Premises
• 7.3. Cloud Based

8. AI IN CONSTRUCTION MARKET BY INDUSTRY

• 8.1. Introduction
• 8.2. Residential
• 8.3. Commercial
• 8.4. Others

9. AI IN CONSTRUCTION MARKET BY GEOGRAPHY

• 9.1. Introduction
• 9.2. North America
  • 9.2.1. By Application
  • 9.2.2. By Construction Stage
  • 9.2.3. By Deployment
  • 9.2.4. By Industry
  • 9.2.5. By Country
    • 9.2.5.1. USA
    • 9.2.5.2. Canada
    • 9.2.5.3. Mexico
• 9.3. South America
  • 9.3.1. By Application
  • 9.3.2. By Construction Stage
  • 9.3.3. By Deployment
  • 9.3.4. By Industry
  • 9.3.5. By Country
    • 9.3.5.1. Brazil
    • 9.3.5.2. Argentina
    • 9.3.5.3. Others
• 9.4. Europe
  • 9.4.1. By Application
  • 9.4.2. By Construction Stage
  • 9.4.3. By Deployment
  • 9.4.4. By Industry
  • 9.4.5. By Country
    • 9.4.5.1. United Kingdom
    • 9.4.5.2. Germany
    • 9.4.5.3. France
    • 9.4.5.4. Spain
    • 9.4.5.5. Others
• 9.5. Middle East and Africa
  • 9.5.1. By Application
  • 9.5.2. By Construction Stage
  • 9.5.3. By Deployment
  • 9.5.4. By Industry
  • 9.5.5. By Country
    • 9.5.5.1. Saudi Arabia
    • 9.5.5.2. UAE
    • 9.5.5.3. Others
• 9.6. Asia Pacific
  • 9.6.1. By Application
  • 9.6.2. By Construction Stage
  • 9.6.3. By Deployment
  • 9.6.4. By Industry
  • 9.6.5. By Country
    • 9.6.5.1. China
    • 9.6.5.2. Japan
    • 9.6.5.3. India
    • 9.6.5.4. South Korea
    • 9.6.5.5. Taiwan
    • 9.6.5.6. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 10.1. Major Players and Strategy Analysis
• 10.2. Market Share Analysis
• 10.3. Mergers, Acquisitions, Agreements, and Collaborations
• 10.4. Competitive Dashboard

11. COMPANY PROFILES

• 11.1. IBM
• 11.2. Autodesk Construction Cloud
• 11.3. Oracle
• 11.4. SAP SE
• 11.5. ALICE Technologies Inc.
• 11.6. The Access Group
• 11.7. Doxel
• 11.8. eSUB Construction Software

12. APPENDIX

• 12.1. Currency
• 12.2. Assumptions
• 12.3. Base and Forecast Years Timeline
• 12.4. Key benefits for the stakeholders
• 12.5. Research Methodology
• 12.6. Abbreviations