Selected research
Market Analysis & Forecast
Global AI in Construction Management Market Analysis and Forecast 2026-2032
Market perspective
The global AI in Construction Management market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI in Construction Management is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI in Construction Management is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI in Construction Management is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI in Construction Management is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI in Construction Management include Autodesk, Inc., Procore Technologies, Inc., Trimble Inc., Bentley Systems, Incorporated, Oracle Corporation (Construction and Engineering), Hexagon AB, nPlan Limited, ALICE Technologies, Inc. and Buildots Ltd., etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI in Construction Management, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI in Construction Management, also provides the revenue of main regions and countries. Of the upcoming market potential for AI in Construction Management, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI in Construction Management revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI in Construction Management market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI in Construction Management revenue, projected growth trends, production technology, application and end-user industry.
AI in Construction Management Segment by Company
Autodesk, Inc.
Procore Technologies, Inc.
Trimble Inc.
Bentley Systems, Incorporated
Oracle Corporation (Construction and Engineering)
Hexagon AB
nPlan Limited
ALICE Technologies, Inc.
Buildots Ltd.
OpenSpace Labs, Inc.
Doxel, Inc.
Briq, Inc.
Glodon Company Limited
Shanghai Luban Software Co., Ltd.
Hangzhou Newgrand Technology Co., Ltd.
Shenzhen Ming Yuan Cloud Technology Co., Ltd.
Huawei Technologies Co., Ltd.
AI in Construction Management Segment by Type
Solutions (Software and Platform)
Services
AI in Construction Management Segment by Application
Project Management
Risk Management
Schedule Management
Others
AI in Construction Management Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI in Construction Management market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI in Construction Management and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI in Construction Management.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of AI in Construction Management in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of AI in Construction Management company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Construction Management revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Solutions (Software and Platform)
- Services
Applications
- Project Management
- Risk Management
- Schedule Management
- Others
Companies covered
- Autodesk, Inc.
- Procore Technologies, Inc.
- Trimble Inc.
- Bentley Systems, Incorporated
- Oracle Corporation (Construction and Engineering)
- Hexagon AB
- nPlan Limited
- ALICE Technologies, Inc.
- Buildots Ltd.
- OpenSpace Labs, Inc.
- Doxel, Inc.
- Briq, Inc.
- Glodon Company Limited
- Shanghai Luban Software Co., Ltd.
- Hangzhou Newgrand Technology Co., Ltd.
- Shenzhen Ming Yuan Cloud Technology Co., Ltd.
- Huawei Technologies Co., Ltd.
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI in Construction Management Market by Type
- 1.2.1 Global AI in Construction Management Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Solutions (Software and Platform)
- 1.2.3 Services
- 1.3 AI in Construction Management Market by Application
- 1.3.1 Global AI in Construction Management Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Project Management
- 1.3.3 Risk Management
- 1.3.4 Schedule Management
- 1.3.5 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI in Construction Management Market Dynamics
- 2.1 AI in Construction Management Industry Trends
- 2.2 AI in Construction Management Industry Drivers
- 2.3 AI in Construction Management Industry Opportunities and Challenges
- 2.4 AI in Construction Management Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI in Construction Management Market Perspective (2021-2032)
- 3.2 Global AI in Construction Management Growth Trends by Region
- 3.2.1 Global AI in Construction Management Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI in Construction Management Market Size by Region (2021-2026)
- 3.2.3 Global AI in Construction Management Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI in Construction Management Revenue by Players
- 4.1.1 Global AI in Construction Management Revenue by Players (2021-2026)
- 4.1.2 Global AI in Construction Management Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI in Construction Management Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI in Construction Management Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI in Construction Management Key Players Headquarters & Area Served
- 4.4 Global AI in Construction Management Players, Product Type & Application
- 4.5 Global AI in Construction Management Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI in Construction Management Market CR5 and HHI
- 4.6.3 2025 AI in Construction Management Tier 1, Tier 2, and Tier 3
5 AI in Construction Management Market Size by Type
- 5.1 Global AI in Construction Management Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI in Construction Management Revenue by Type (2021-2032)
- 5.3 Global AI in Construction Management Revenue Market Share by Type (2021-2032)
6 AI in Construction Management Market Size by Application
- 6.1 Global AI in Construction Management Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI in Construction Management Revenue by Application (2021-2032)
- 6.3 Global AI in Construction Management Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Autodesk, Inc.
- 7.1.1 Autodesk, Inc. Company Information
- 7.1.2 Autodesk, Inc. Business Overview
- 7.1.3 Autodesk, Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.1.4 Autodesk, Inc. AI in Construction Management Product Portfolio
- 7.1.5 Autodesk, Inc. Recent Developments
- 7.2 Procore Technologies, Inc.
- 7.2.1 Procore Technologies, Inc. Company Information
- 7.2.2 Procore Technologies, Inc. Business Overview
- 7.2.3 Procore Technologies, Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.2.4 Procore Technologies, Inc. AI in Construction Management Product Portfolio
- 7.2.5 Procore Technologies, Inc. Recent Developments
- 7.3 Trimble Inc.
- 7.3.1 Trimble Inc. Company Information
- 7.3.2 Trimble Inc. Business Overview
- 7.3.3 Trimble Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.3.4 Trimble Inc. AI in Construction Management Product Portfolio
- 7.3.5 Trimble Inc. Recent Developments
- 7.4 Bentley Systems, Incorporated
- 7.4.1 Bentley Systems, Incorporated Company Information
- 7.4.2 Bentley Systems, Incorporated Business Overview
- 7.4.3 Bentley Systems, Incorporated AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.4.4 Bentley Systems, Incorporated AI in Construction Management Product Portfolio
- 7.4.5 Bentley Systems, Incorporated Recent Developments
- 7.5 Oracle Corporation (Construction and Engineering)
- 7.5.1 Oracle Corporation (Construction and Engineering) Company Information
- 7.5.2 Oracle Corporation (Construction and Engineering) Business Overview
- 7.5.3 Oracle Corporation (Construction and Engineering) AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.5.4 Oracle Corporation (Construction and Engineering) AI in Construction Management Product Portfolio
- 7.5.5 Oracle Corporation (Construction and Engineering) Recent Developments
- 7.6 Hexagon AB
- 7.6.1 Hexagon AB Company Information
- 7.6.2 Hexagon AB Business Overview
- 7.6.3 Hexagon AB AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.6.4 Hexagon AB AI in Construction Management Product Portfolio
- 7.6.5 Hexagon AB Recent Developments
- 7.7 nPlan Limited
- 7.7.1 nPlan Limited Company Information
- 7.7.2 nPlan Limited Business Overview
- 7.7.3 nPlan Limited AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.7.4 nPlan Limited AI in Construction Management Product Portfolio
- 7.7.5 nPlan Limited Recent Developments
- 7.8 ALICE Technologies, Inc.
- 7.8.1 ALICE Technologies, Inc. Company Information
- 7.8.2 ALICE Technologies, Inc. Business Overview
- 7.8.3 ALICE Technologies, Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.8.4 ALICE Technologies, Inc. AI in Construction Management Product Portfolio
- 7.8.5 ALICE Technologies, Inc. Recent Developments
- 7.9 Buildots Ltd.
- 7.9.1 Buildots Ltd. Company Information
- 7.9.2 Buildots Ltd. Business Overview
- 7.9.3 Buildots Ltd. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.9.4 Buildots Ltd. AI in Construction Management Product Portfolio
- 7.9.5 Buildots Ltd. Recent Developments
- 7.10 OpenSpace Labs, Inc.
- 7.10.1 OpenSpace Labs, Inc. Company Information
- 7.10.2 OpenSpace Labs, Inc. Business Overview
- 7.10.3 OpenSpace Labs, Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.10.4 OpenSpace Labs, Inc. AI in Construction Management Product Portfolio
- 7.10.5 OpenSpace Labs, Inc. Recent Developments
- 7.11 Doxel, Inc.
- 7.11.1 Doxel, Inc. Company Information
- 7.11.2 Doxel, Inc. Business Overview
- 7.11.3 Doxel, Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.11.4 Doxel, Inc. AI in Construction Management Product Portfolio
- 7.11.5 Doxel, Inc. Recent Developments
- 7.12 Briq, Inc.
- 7.12.1 Briq, Inc. Company Information
- 7.12.2 Briq, Inc. Business Overview
- 7.12.3 Briq, Inc. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.12.4 Briq, Inc. AI in Construction Management Product Portfolio
- 7.12.5 Briq, Inc. Recent Developments
- 7.13 Glodon Company Limited
- 7.13.1 Glodon Company Limited Company Information
- 7.13.2 Glodon Company Limited Business Overview
- 7.13.3 Glodon Company Limited AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.13.4 Glodon Company Limited AI in Construction Management Product Portfolio
- 7.13.5 Glodon Company Limited Recent Developments
- 7.14 Shanghai Luban Software Co., Ltd.
- 7.14.1 Shanghai Luban Software Co., Ltd. Company Information
- 7.14.2 Shanghai Luban Software Co., Ltd. Business Overview
- 7.14.3 Shanghai Luban Software Co., Ltd. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.14.4 Shanghai Luban Software Co., Ltd. AI in Construction Management Product Portfolio
- 7.14.5 Shanghai Luban Software Co., Ltd. Recent Developments
- 7.15 Hangzhou Newgrand Technology Co., Ltd.
- 7.15.1 Hangzhou Newgrand Technology Co., Ltd. Company Information
- 7.15.2 Hangzhou Newgrand Technology Co., Ltd. Business Overview
- 7.15.3 Hangzhou Newgrand Technology Co., Ltd. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.15.4 Hangzhou Newgrand Technology Co., Ltd. AI in Construction Management Product Portfolio
- 7.15.5 Hangzhou Newgrand Technology Co., Ltd. Recent Developments
- 7.16 Shenzhen Ming Yuan Cloud Technology Co., Ltd.
- 7.16.1 Shenzhen Ming Yuan Cloud Technology Co., Ltd. Company Information
- 7.16.2 Shenzhen Ming Yuan Cloud Technology Co., Ltd. Business Overview
- 7.16.3 Shenzhen Ming Yuan Cloud Technology Co., Ltd. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.16.4 Shenzhen Ming Yuan Cloud Technology Co., Ltd. AI in Construction Management Product Portfolio
- 7.16.5 Shenzhen Ming Yuan Cloud Technology Co., Ltd. Recent Developments
- 7.17 Huawei Technologies Co., Ltd.
- 7.17.1 Huawei Technologies Co., Ltd. Company Information
- 7.17.2 Huawei Technologies Co., Ltd. Business Overview
- 7.17.3 Huawei Technologies Co., Ltd. AI in Construction Management Revenue and Gross Margin (2021-2026)
- 7.17.4 Huawei Technologies Co., Ltd. AI in Construction Management Product Portfolio
- 7.17.5 Huawei Technologies Co., Ltd. Recent Developments
8 North America
- 8.1 North America AI in Construction Management Revenue (2021-2032)
- 8.2 North America AI in Construction Management Revenue by Type (2021-2032)
- 8.2.1 North America AI in Construction Management Revenue by Type (2021-2026)
- 8.2.2 North America AI in Construction Management Revenue by Type (2027-2032)
- 8.3 North America AI in Construction Management Revenue Share by Type (2021-2032)
- 8.4 North America AI in Construction Management Revenue by Application (2021-2032)
- 8.4.1 North America AI in Construction Management Revenue by Application (2021-2026)
- 8.4.2 North America AI in Construction Management Revenue by Application (2027-2032)
- 8.5 North America AI in Construction Management Revenue Share by Application (2021-2032)
- 8.6 North America AI in Construction Management Revenue by Country
- 8.6.1 North America AI in Construction Management Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI in Construction Management Revenue by Country (2021-2026)
- 8.6.3 North America AI in Construction Management Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI in Construction Management Revenue (2021-2032)
- 9.2 Europe AI in Construction Management Revenue by Type (2021-2032)
- 9.2.1 Europe AI in Construction Management Revenue by Type (2021-2026)
- 9.2.2 Europe AI in Construction Management Revenue by Type (2027-2032)
- 9.3 Europe AI in Construction Management Revenue Share by Type (2021-2032)
- 9.4 Europe AI in Construction Management Revenue by Application (2021-2032)
- 9.4.1 Europe AI in Construction Management Revenue by Application (2021-2026)
- 9.4.2 Europe AI in Construction Management Revenue by Application (2027-2032)
- 9.5 Europe AI in Construction Management Revenue Share by Application (2021-2032)
- 9.6 Europe AI in Construction Management Revenue by Country
- 9.6.1 Europe AI in Construction Management Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI in Construction Management Revenue by Country (2021-2026)
- 9.6.3 Europe AI in Construction Management Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI in Construction Management Revenue (2021-2032)
- 10.2 China AI in Construction Management Revenue by Type (2021-2032)
- 10.2.1 China AI in Construction Management Revenue by Type (2021-2026)
- 10.2.2 China AI in Construction Management Revenue by Type (2027-2032)
- 10.3 China AI in Construction Management Revenue Share by Type (2021-2032)
- 10.4 China AI in Construction Management Revenue by Application (2021-2032)
- 10.4.1 China AI in Construction Management Revenue by Application (2021-2026)
- 10.4.2 China AI in Construction Management Revenue by Application (2027-2032)
- 10.5 China AI in Construction Management Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI in Construction Management Revenue (2021-2032)
- 11.2 Asia AI in Construction Management Revenue by Type (2021-2032)
- 11.2.1 Asia AI in Construction Management Revenue by Type (2021-2026)
- 11.2.2 Asia AI in Construction Management Revenue by Type (2027-2032)
- 11.3 Asia AI in Construction Management Revenue Share by Type (2021-2032)
- 11.4 Asia AI in Construction Management Revenue by Application (2021-2032)
- 11.4.1 Asia AI in Construction Management Revenue by Application (2021-2026)
- 11.4.2 Asia AI in Construction Management Revenue by Application (2027-2032)
- 11.5 Asia AI in Construction Management Revenue Share by Application (2021-2032)
- 11.6 Asia AI in Construction Management Revenue by Country
- 11.6.1 Asia AI in Construction Management Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI in Construction Management Revenue by Country (2021-2026)
- 11.6.3 Asia AI in Construction Management Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI in Construction Management Revenue (2021-2032)
- 12.2 SAMEA AI in Construction Management Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI in Construction Management Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI in Construction Management Revenue by Type (2027-2032)
- 12.3 SAMEA AI in Construction Management Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI in Construction Management Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI in Construction Management Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI in Construction Management Revenue by Application (2027-2032)
- 12.5 SAMEA AI in Construction Management Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI in Construction Management Revenue by Country
- 12.6.1 SAMEA AI in Construction Management Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI in Construction Management Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI in Construction Management Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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