AI in Construction Market Size, Share, Opportunities, And Trends 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), And By Geography - Forecasts From 2025 To 2030

AI in Construction Market Size: 

The AI in the 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.

AI in Construction Market Trends:

Artificial intelligence for construction relies on AI systems for designing, implementing, and practising AI technologies for enhancing all construction projects. Its technologies include solutions based on machine learning (ML) algorithms, computer vision systems, and language processing tools that enhance process functionality like project management, risk management, time management, supply chain management, quality management, and safety management. This arises from a major shift based on the increasing demand for sustainability, efficiency, and economy in construction projects. This is by far one of the fast-growing areas of endeavor in construction, which has numerous possibilities for innovation and transformation.

AI in Construction Market Growth Drivers:

• Growing Need for Risk Management and Predictive Analytics: Increased use of AI in handling risk modeling and analytics solutions is witnessing market growth. Various construction establishments utilize highly sophisticated machine learning, for instance, to analyze larger data clusters useful in the form of project schedules, budgets, resource employments, and even performance measurements. AI algorithms can anticipate potential delays and prolonged periods of assignments by analyzing data to reveal patterns and connections. Furthermore, increased awareness of the industry regarding significant progress toward streamlined risk management for project success is driving the growth.
• Growing demand for productivity in the construction industry: One of the driving factors of skill development in the construction industry is the significantly growing demand for increased productivity and efficiency. Construction projects are complex, require many sites, have tight deadlines, and potential financial constraints. Traditional project management processes often do not provide the desired results, leading construction projects to miss deadlines, underperform, and overrun costs. To solve this problem, companies are turning toward using AI solutions utilizing modern technologies such as computer-based vision, ML, and AI to inject automation, big data analysis, and decision support into their operations.  

AI in Construction Market Segmentation Analysis by Application:

• Project Management: The integration of ML algorithms is the main driving factor for this growth. These algorithms optimize scheduling, resource allocation, and overall project productivity by analyzing past data and offering crucial insights into costs, timelines, and risks.
• Planning and Design: AI is revolutionizing construction planning through advanced machine learning algorithms. These algorithms analyze vast amounts of data with remarkable precision, predict potential risks, and optimize resource use. This development seeks to fundamentally change the construction process beyond efficiency improvements.
• Safety: AI algorithms allow real-time monitoring of construction sites and workers, allowing early detection of possible risks and triggering preventative actions.
• Autonomous Equipment: Construction equipment can execute complex tasks with high accuracy and efficiency due to modern AI algorithms.
• Monitoring and Maintenance: Construction teams use AI to track developments, spot errors, and quickly make well-informed decisions by monitoring the construction work.

AI in Construction Market Segmentation Analysis by Construction Stage:

• Pre-Construction: Before one starts a construction project, AI-driven technologies enable the evaluation of risk and design optimization.
• Construction: The most direct application of AI technologies can be seen by optimizing scheduling, resource allocation, and quality control procedures.
• Post-Construction: It includes the application of AI analytics to maintenance scheduling and construction performance monitoring.

AI in Construction Market Segmentation Analysis by Deployment:

• On-Premises: The deployment of the on-premises segment in AI in the construction industry is expected to grow significantly due to its widespread use in data security and maintaining legal compliance.
• Cloud Based: The cloud features that provide advanced technologies are used by construction companies regarding data security and privacy.

AI in Construction Market Segmentation Analysis by Industry:

• Residential: The demand for AI in the construction industry is expected to rise in the residential sector due to increased urbanization and the rising demand for affordable housing.
• Commercial: For commercial projects to be completed on schedule and within budget, processes like project management, planning, and budgeting are optimized with the aid of AI technologies.
• Others: Other segments, including industrial and infrastructure industries, are expanding the market due to the rising construction in industries and increasing infrastructure complexities.

AI in Construction Market Geographical Outlook:

The AI in construction market report analyzes growth factors across the following five regions:

• North America: The market is expanding in the North American region owing to the increased investments in the AI sector and growing infrastructure.
• Europe: The European region is expected to attain a greater market share during the forecasted timeline because of an established construction sector that prioritizes sustainability, effectiveness, and quality, which propels the use of AI technologies.
• Asia Pacific: The rapid infrastructure development and increasing investment in the construction industry are expected to boost the regional market expansion.
• South America & MEA: The South American, Middle East, and African regions are expected to witness a significant growth rate, owing to the gradual advancement in the construction industry.

AI in Construction Market – Competitive Landscape:

• IBM - IBM adopts sustainable building operations using AI algorithms and advanced data analytics to determine building patterns.
• Autodesk Construction Cloud - Artificial Intelligence is integrated into Autodesk Construction Cloud to improve various construction processes. When performing construction takeoffs, estimators can save time and minimize errors by using Autodesk's symbol detection feature, which uses machine learning to detect and identify symbols during takeoff.
• Oracle - Oracle analyzes data and forecasts which projects are most likely to experience safety incidents using AI models tailored to the construction industry. It estimates the likelihood of project and activity delays, which helps preventative measures be taken.

The following companies are among the global leaders in the research, development, and advancement of AI in the construction industry.

AI in Construction Market Latest Developments:

• In November 2024, IBM created a new AI model with IBM Watsonx AI and data platform and operates on IBM Cloud. It determines whether a building is residential or non-residential based on building-specific information, such as its footprint, number of floors, roof image, location, and other map data.
• In October 2024, Bentley Systems, Inc. announced new generative AI capabilities for civil site design, such as a design copilot, site layout optimizations, and automated drawing production, resulting in increased productivity and accuracy.

AI in Construction Market Scope:

Report Metric	Details
AI in Construction Market Size in 2025	US$8.060 billion
AI in Construction Market Size in 2030	US$22.768 billion
Growth Rate	CAGR of 23.08%
Study Period	2020 to 2030
Historical Data	2020 to 2023
Base Year	2024
Forecast Period	2025 – 2030
Forecast Unit (Value)	USD Billion
Segmentation	Application Construction Stage Deployment Industry Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the AI in Construction Market	IBM Autodesk Construction Cloud Oracle SAP SE ALICE Technologies Inc.
Customization Scope	Free report customization with purchase

 

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

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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 

IBM 

Autodesk Construction Cloud

Oracle 

SAP SE 

ALICE Technologies Inc.

The Access Group 

Doxel 

eSUB Construction Software