Global Artificial Intelligence (AI) in Construction Market Size Study & Forecast, by Solution, Deployment, Construction Stage, Construction Type, and Regional Forecasts 2025-2035

Description

The Global Artificial Intelligence (AI) in Construction Market was valued at approximately USD 3.93 billion in 2024 and is projected to grow at an impressive CAGR of 24.6% over the forecast period 2025-2035. AI has become a transformative force across industries, and construction is no exception. By integrating AI into traditional construction workflows, organizations are revolutionizing project planning, resource allocation, predictive maintenance, and risk mitigation. From drones capturing real-time site imagery to intelligent algorithms optimizing construction schedules, AI is becoming indispensable in driving precision, efficiency, and safety. The rising complexity of construction projects and demand for real-time decision-making analytics have accelerated the adoption of AI-powered solutions, fostering improved collaboration and reduced operational bottlenecks.

With a growing emphasis on automation and digital transformation in the construction ecosystem, AI solutions are being adopted across various stages-from pre-construction to post-completion phases. In pre-construction, predictive analytics helps in cost estimation and feasibility assessments, while during the build phase, AI streamlines labor management and supply chain orchestration. Post-construction, AI ensures continuous building monitoring, maintenance scheduling, and energy optimization. Cloud-based deployments are gaining significant traction due to their scalability and remote accessibility, although on-premises solutions continue to be preferred in projects requiring stringent data security. The push towards smart cities and infrastructure modernization is also encouraging market players to innovate around integrated AI modules that can manage construction timelines, anticipate delays, and prevent resource misallocation.

Regionally, North America is anticipated to lead the AI in Construction Market by 2025, powered by a robust tech ecosystem, early AI adoption across construction giants, and widespread integration of Building Information Modeling (BIM) systems. The United States remains a major contributor, with increased investments in smart infrastructure and large-scale commercial projects leveraging AI for predictive insights. Europe is also making significant headway, with countries like Germany and the UK investing heavily in green construction technologies, wherein AI plays a pivotal role. Meanwhile, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by burgeoning urbanization, expansive infrastructure development initiatives, and government-backed digital transformation agendas across India, China, and Southeast Asia.

Major market players included in this report are:

Autodesk Inc.
IBM Corporation
Oracle Corporation
Microsoft Corporation
Trimble Inc.
SAP SE
Bentley Systems, Incorporated
NVIDIA Corporation
Amazon Web Services, Inc.
Dassault Systemes
ALICE Technologies
eSUB Construction Software
Smartvid.io, Inc.
PTC Inc.
OpenSpace

Global Artificial Intelligence (AI) in Construction Market Report Scope:

Historical Data - 2023, 2024
Base Year for Estimation - 2024
Forecast period - 2025-2035
Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Solution:

Project Management
Risk Management
Schedule Management
Supply Chain Management
Others

By Deployment:

Cloud
On-premises

By Construction Stage:

Pre-construction
Construction
Post-construction

By Construction Type:

Residential
Industrial
Commercial
Infrastructure

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
South Africa
Rest of Middle East & Africa

Key Takeaways:

Market Estimates & Forecast for 10 years from 2025 to 2035.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global Artificial Intelligence in Construction Market Report Scope & Methodology

1.1. Research Objective
1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

Chapter 3. Global AI in Construction Market Forces Analysis

3.1. Market Forces Shaping the Global AI in Construction Market (2024-2035)
3.2. Drivers
- 3.2.1. Accelerated Demand for Data-Driven Project Planning
- 3.2.2. Growing Adoption of Predictive Maintenance Technologies
3.3. Restraints
- 3.3.1. High Implementation and Integration Costs
- 3.3.2. Skill Gaps and Resistance to Technology Adoption
3.4. Opportunities
- 3.4.1. Expansion of Smart City and Infrastructure Initiatives
- 3.4.2. Rising Demand for Modular and Prefabricated Construction

Chapter 4. Global AI in Construction Industry Analysis

4.1. Porter's Five Forces Model
- 4.1.1. Bargaining Power of Buyers
- 4.1.2. Bargaining Power of Suppliers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. Porter's Five Forces Forecast Model (2024-2035)
4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economic
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024-2025)
4.7. Global Pricing Analysis and Trends 2025
4.8. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Construction Market Size & Forecasts by Solution 2025-2035

5.1. Market Overview
5.2. Project Management
- 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.2.2. Market Size Analysis by Region, 2025-2035
5.3. Risk Management
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market Size Analysis by Region, 2025-2035
5.4. Schedule Management
- 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.4.2. Market Size Analysis by Region, 2025-2035
5.5. Supply Chain Management
- 5.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.5.2. Market Size Analysis by Region, 2025-2035
5.6. Others
- 5.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.6.2. Market Size Analysis by Region, 2025-2035

Chapter 6. Global AI in Construction Market Size & Forecasts by Deployment 2025-2035

6.1. Market Overview
6.2. Cloud
- 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.2.2. Market Size Analysis by Region, 2025-2035
6.3. On-premises
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market Size Analysis by Region, 2025-2035

Chapter 7. Global AI in Construction Market Size & Forecasts by Construction Stage 2025-2035

7.1. Market Overview
7.2. Pre-construction
- 7.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.2.2. Market Size Analysis by Region, 2025-2035
7.3. Construction
- 7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.3.2. Market Size Analysis by Region, 2025-2035
7.4. Post-construction
- 7.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.4.2. Market Size Analysis by Region, 2025-2035

Chapter 8. Global AI in Construction Market Size & Forecasts by Construction Type 2025-2035

8.1. Market Overview
8.2. Residential
- 8.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.2.2. Market Size Analysis by Region, 2025-2035
8.3. Industrial
- 8.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.3.2. Market Size Analysis by Region, 2025-2035
8.4. Commercial
- 8.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.4.2. Market Size Analysis by Region, 2025-2035
8.5. Infrastructure
- 8.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.5.2. Market Size Analysis by Region, 2025-2035

Chapter 9. Global AI in Construction Market Size & Forecasts by Region 2025-2035

9.1. Regional Market Snapshot
9.2. Top Leading & Emerging Countries
9.3. North America AI in Construction Market
- 9.3.1. U.S. AI in Construction Market
  - 9.3.1.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.3.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.3.2. Canada AI in Construction Market
  - 9.3.2.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.3.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
9.4. Europe AI in Construction Market
- 9.4.1. UK AI in Construction Market
  - 9.4.1.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.4.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.4.2. Germany AI in Construction Market
  - 9.4.2.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.4.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.4.3. France AI in Construction Market
  - 9.4.3.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.4.3.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.4.4. Spain AI in Construction Market
  - 9.4.4.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.4.4.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.4.5. Italy AI in Construction Market
  - 9.4.5.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.4.5.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.4.6. Rest of Europe AI in Construction Market
  - 9.4.6.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.4.6.2. Deployment Breakdown Size & Forecasts, 2025-2035
9.5. Asia Pacific AI in Construction Market
- 9.5.1. China AI in Construction Market
  - 9.5.1.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.5.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.5.2. India AI in Construction Market
  - 9.5.2.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.5.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.5.3. Japan AI in Construction Market
  - 9.5.3.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.5.3.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.5.4. Australia AI in Construction Market
  - 9.5.4.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.5.4.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.5.5. South Korea AI in Construction Market
  - 9.5.5.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.5.5.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.5.6. Rest of Asia Pacific AI in Construction Market
  - 9.5.6.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.5.6.2. Deployment Breakdown Size & Forecasts, 2025-2035
9.6. Latin America AI in Construction Market
- 9.6.1. Brazil AI in Construction Market
  - 9.6.1.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.6.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.6.2. Mexico AI in Construction Market
  - 9.6.2.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.6.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
9.7. Middle East & Africa AI in Construction Market
- 9.7.1. UAE AI in Construction Market
  - 9.7.1.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.7.1.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.7.2. Saudi Arabia AI in Construction Market
  - 9.7.2.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.7.2.2. Deployment Breakdown Size & Forecasts, 2025-2035
- 9.7.3. South Africa AI in Construction Market
  - 9.7.3.1. Solution Breakdown Size & Forecasts, 2025-2035
  - 9.7.3.2. Deployment Breakdown Size & Forecasts, 2025-2035

Chapter 10. Competitive Intelligence

10.1. Top Market Strategies
10.2. Autodesk Inc.
- 10.2.1. Company Overview
- 10.2.2. Key Executives
- 10.2.3. Company Snapshot
- 10.2.4. Financial Performance (Subject to Data Availability)
- 10.2.5. Product/Services Portfolio
- 10.2.6. Recent Development
- 10.2.7. Market Strategies
- 10.2.8. SWOT Analysis
10.3. IBM Corporation
10.4. Oracle Corporation
10.5. Microsoft Corporation
10.6. Trimble Inc.
10.7. SAP SE
10.8. Bentley Systems, Incorporated
10.9. NVIDIA Corporation
10.10. Amazon Web Services, Inc.
10.11. Dassault Systemes
10.12. ALICE Technologies
10.13. eSUB Construction Software
10.14. Smartvid.io, Inc.
10.15. PTC Inc.
10.16. OpenSpace