Market Research

AI in Construction Market

Best Price Guarantee Length Publisher Published Date SKU
from $4,850 160 Pages Fortune Business Insights Pvt. Ltd. September, 2024 FOB19185797
Best Price Guarantee
Price from $4,850
Length 160 Pages
Publisher Fortune Business Insights Pvt. Ltd.
Published Date September, 2024
SKU FOB19185797

AI in Construction Market



Growth Factors of AI in Construction Market

The AI in construction market size was valued at USD 3.20 billion in 2023, and the market is now 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 of 2024-2032.

The Pandemic encouraged the use of Artificial Intelligence in the construction industry as organizations seek measures to reduce human participation in projects thereby increasing production. Machine learning-based solutions play a significant role in maintaining people’s efficiency in adherence to the social distance principles. Some of these solutions are; remote monitoring, predictive maintenance, and self-driving machines. Additionally, the buying of AI in construction market growth was boosted by the need to adapt digitally to curtail the impact of the epidemic.

Thus, the need to realize the higher and more effective need for productivity can be seen to be one of the main drivers of the growth of the AI in construction market share. Construction projects are always challenging and involve a lot of factors, time constraints, and limited resources. These solutions apply intelligent and advanced tools for increasing achievement levels by working as self-leveling applications, analyzing data, and facilitating decision-making at the point of use. Some of these technologies include; Machine Learning, Computer Vision, and Natural Language Processing.

The market is growing due to the increasing demand for risk management and predictive analysis by employing Artificial Intelligence solutions. Application of artificial intelligence and particularly, machine learning in the analysis of data, is becoming gradually popular in the construction business as the companies utilize advanced techniques, such as schedule analysis, cost analysis, material quantity analysis, and performance analysis. Big data here may involve detecting possible risks and time-related inconveniences in construction works AI algorithms are capable of identifying patterns and correlations.

Comprehensive Analysis of AI in Construction Market

AI is remodeling the development market by enhancing diverse elements through unique degrees and types of initiatives. By leveraging AI for task management, change control, schedule control, and deliver chain management, corporations can improve efficiency and decision-making. AI additionally performs an essential function in satisfactory management and protection management. Deployment alternatives include cloud-primarily based answers for flexibility and on-premises structures for greater manipulation. In the pre-creation section, AI aids in design and feasibility; throughout creation, it optimizes project execution; and in post-production, it helps maintenance and center management. The effect of AI spans residential, industrial, industrial, and infrastructure initiatives, streamlining techniques and enhancing standard venture outcomes.

North America's enormously evolved creation industry, which locations a heavy emphasis on innovation and generation adoption, will allow it to dominate the worldwide AI in production market percentage, which is expected to be worth USD 1.24 billion in 2023. The location's funding in AI R&D will encourage the improvement of cutting-edge solutions acceptable to the necessities of the construction enterprise.

The top players in the market play a crucial role in the technology sector sector assuring industrial prospectus growth and setting market standards.Those groups enlist 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.), and Doxel (U.S.).

SAP SE found enhancements to its deliver chain answers in April 2024, indicating an extensive increase in production productiveness, accuracy, and efficiency. AI-pushed insights from real-time facts will allow creation businesses to apply their facts to make properly-knowledgeable selections at each stage of the supply chain. This will improve production performance and maximize product improvement.

Segmentation Table

Global AI in Construction Market Scope

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 24.5% from 2024 to 2032

Unit Value (USD Billion)

Segmentation By Solution , Deployment , Construction Stage , Construction Type , and Region

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 -

By Region - North America (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • U.S.
  • Canada
  • Mexico
- South America (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • Brazil
  • Argentina
  • Rest of South America
- Europe (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
- Middle East & Africa (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • Turkey
  • Israel
  • GCC
  • North Africa
  • South Africa
  • Rest of the Middle East & Africa
- Asia Pacific (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • China
  • Japan
  • India
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacifico


    • Please Note: It will take 5-6 business days to complete the report upon order confirmation.


1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of Generative AI
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global AI in Construction Key Players Market Share/Ranking, 2023
5. Global AI in Construction Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Solution (USD)
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, etc.)
5.3. By Deployment (USD)
5.3.1. Cloud
5.3.2. On-premise
5.4. By Construction Stage (USD)
5.4.1. Pre-construction
5.4.2. Construction
5.4.3. Post-construction
5.5. By Construction Type (USD)
5.5.1. Residential
5.5.2. Industrial
5.5.3. Commercial
5.5.4. Infrastructure
5.6. By Region (USD)
5.6.1. North America
5.6.2. South America
5.6.3. Europe
5.6.4. Middle East and Africa
5.6.5. Asia Pacific
6. North America AI in Construction Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Solution (USD)
6.2.1. Project Management
6.2.2. Risk Management
6.2.3. Schedule Management
6.2.4. Supply Chain Management
6.2.5. Others (Quality Management, Safety Management, etc.)
6.3. By Deployment (USD)
6.3.1. Cloud
6.3.2. On-premise
6.4. By Construction Stage (USD)
6.4.1. Pre-construction
6.4.2. Construction
6.4.3. Post-construction
6.5. By Construction Type (USD)
6.5.1. Residential
6.5.2. Industrial
6.5.3. Commercial
6.5.4. Infrastructure
6.6. By Country (USD)
6.6.1. United States
6.6.2. Canada
6.6.3. Mexico
7. South America AI in Construction Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Solution (USD)
7.2.1. Project Management
7.2.2. Risk Management
7.2.3. Schedule Management
7.2.4. Supply Chain Management
7.2.5. Others (Quality Management, Safety Management, etc.)
7.3. By Deployment (USD)
7.3.1. Cloud
7.3.2. On-premise
7.4. By Construction Stage (USD)
7.4.1. Pre-construction
7.4.2. Construction
7.4.3. Post-construction
7.5. By Construction Type (USD)
7.5.1. Residential
7.5.2. Industrial
7.5.3. Commercial
7.5.4. Infrastructure
7.6. By Country (USD)
7.6.1. Brazil
7.6.2. Argentina
7.6.3. Rest of South America
8. Europe AI in Construction Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Solution (USD)
8.2.1. Project Management
8.2.2. Risk Management
8.2.3. Schedule Management
8.2.4. Supply Chain Management
8.2.5. Others (Quality Management, Safety Management, etc.)
8.3. By Deployment (USD)
8.3.1. Cloud
8.3.2. On-premise
8.4. By Construction Stage (USD)
8.4.1. Pre-construction
8.4.2. Construction
8.4.3. Post-construction
8.5. By Construction Type (USD)
8.5.1. Residential
8.5.2. Industrial
8.5.3. Commercial
8.5.4. Infrastructure
8.6. By Country (USD)
8.6.1. United Kingdom
8.6.2. Germany
8.6.3. France
8.6.4. Italy
8.6.5. Spain
8.6.6. Russia
8.6.7. Benelux
8.6.8. Nordics
8.6.9. Rest of Europe
9. Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Solution (USD)
9.2.1. Project Management
9.2.2. Risk Management
9.2.3. Schedule Management
9.2.4. Supply Chain Management
9.2.5. Others (Quality Management, Safety Management, etc.)
9.3. By Deployment (USD)
9.3.1. Cloud
9.3.2. On-premise
9.4. By Construction Stage (USD)
9.4.1. Pre-construction
9.4.2. Construction
9.4.3. Post-construction
9.5. By Construction Type (USD)
9.5.1. Residential
9.5.2. Industrial
9.5.3. Commercial
9.5.4. Infrastructure
9.6. By Country (USD)
9.6.1. Turkey
9.6.2. Israel
9.6.3. GCC
9.6.4. North Africa
9.6.5. South Africa
9.6.6. Rest of Middle East and Africa
10. Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Solution (USD)
10.2.1. Project Management
10.2.2. Risk Management
10.2.3. Schedule Management
10.2.4. Supply Chain Management
10.2.5. Others (Quality Management, Safety Management, etc.)
10.3. By Deployment (USD)
10.3.1. Cloud
10.3.2. On-premise
10.4. By Construction Stage (USD)
10.4.1. Pre-construction
10.4.2. Construction
10.4.3. Post-construction
10.5. By Construction Type (USD)
10.5.1. Residential
10.5.2. Industrial
10.5.3. Commercial
10.5.4. Infrastructure
10.6. By Country (USD)
10.6.1. China
10.6.2. Japan
10.6.3. India
10.6.4. South Korea
10.6.5. ASEAN
10.6.6. Oceania
10.6.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Autodesk
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. SAP SE
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Bentley Systems
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. ALICE Technologies Inc.
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Dassault Systèmes
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Oracle Corporation
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Trimble Inc.
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Komatsu
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Procore Technologies, Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Doxel
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways

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