Global Generative AI in Construction Market Growth (Status and Outlook) 2024-2030

Publication ID:

LPI05242131

Publication Date:

June 5, 2024

Pages:

102

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

Generative AI in construction refers to the application of artificial intelligence techniques, particularly generative models, to various aspects of the construction industry. Generative AI involves training models on large datasets to learn patterns and generate new content or data that resembles the input data.
The global Generative AI in Construction market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.
The 鈥淕enerative AI in Construction Industry Forecast鈥� looks at past sales and reviews total world Generative AI in Construction sales in 2022, providing a comprehensive analysis by region and market sector of projected Generative AI in Construction sales for 2023 through 2029. With Generative AI in Construction sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative AI in Construction industry.
This Insight Report provides a comprehensive analysis of the global Generative AI in Construction landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Generative AI in Construction portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Generative AI in Construction market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative AI in Construction and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Generative AI in Construction.
United States market for Generative AI in Construction is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Generative AI in Construction is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Generative AI in Construction is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Generative AI in Construction players cover Autodesk Inc, Dassault Systemes, Trimble, Bentley Systems, Katerra, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Generative AI in Construction market by product type, application, key players and key regions and countries.
Segmentation by Type:
Machine Learning
Natural Language Processing
Others
Segmentation by Application:
Design & Planning
Construction Optimization
Project Management
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
Machine Learning
Natural Language Processing
Others
Segmentation by Application:
Design & Planning
Construction Optimization
Project Management
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Autodesk Inc
Dassault Systemes
Trimble
Bentley Systems
Katerra
Oracle Corporation
IBM Corporation
Microsoft Corporation
nTopology
Graphisoft
Honeywell Forge
EcoStruxure Platform

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Generative AI in Construction Market Size 2019-2030
2.1.2 Generative AI in Construction Market Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Generative AI in Construction by Country/Region, 2019, 2023 & 2030
2.2 Generative AI in Construction Segment by Type
2.2.1 Machine Learning
2.2.2 Natural Language Processing
2.2.3 Others
2.3 Generative AI in Construction Market Size by Type
2.3.1 Generative AI in Construction Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Generative AI in Construction Market Size Market Share by Type (2019-2024)
2.4 Generative AI in Construction Segment by Application
2.4.1 Design & Planning
2.4.2 Construction Optimization
2.4.3 Project Management
2.4.4 Others
2.5 Generative AI in Construction Market Size by Application
2.5.1 Generative AI in Construction Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Generative AI in Construction Market Size Market Share by Application (2019-2024)
3 Generative AI in Construction Market Size by Player
3.1 Generative AI in Construction Market Size Market Share by Player
3.1.1 Global Generative AI in Construction Revenue by Player (2019-2024)
3.1.2 Global Generative AI in Construction Revenue Market Share by Player (2019-2024)
3.2 Global Generative AI in Construction Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Generative AI in Construction by Region
4.1 Generative AI in Construction Market Size by Region (2019-2024)
4.2 Global Generative AI in Construction Annual Revenue by Country/Region (2019-2024)
4.3 Americas Generative AI in Construction Market Size Growth (2019-2024)
4.4 APAC Generative AI in Construction Market Size Growth (2019-2024)
4.5 Europe Generative AI in Construction Market Size Growth (2019-2024)
4.6 Middle East & Africa Generative AI in Construction Market Size Growth (2019-2024)
5 Americas
5.1 Americas Generative AI in Construction Market Size by Country (2019-2024)
5.2 Americas Generative AI in Construction Market Size by Type (2019-2024)
5.3 Americas Generative AI in Construction Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Generative AI in Construction Market Size by Region (2019-2024)
6.2 APAC Generative AI in Construction Market Size by Type (2019-2024)
6.3 APAC Generative AI in Construction Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Generative AI in Construction Market Size by Country (2019-2024)
7.2 Europe Generative AI in Construction Market Size by Type (2019-2024)
7.3 Europe Generative AI in Construction Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Generative AI in Construction by Region (2019-2024)
8.2 Middle East & Africa Generative AI in Construction Market Size by Type (2019-2024)
8.3 Middle East & Africa Generative AI in Construction Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Generative AI in Construction Market Forecast
10.1 Global Generative AI in Construction Forecast by Region (2025-2030)
10.1.1 Global Generative AI in Construction Forecast by Region (2025-2030)
10.1.2 Americas Generative AI in Construction Forecast
10.1.3 APAC Generative AI in Construction Forecast
10.1.4 Europe Generative AI in Construction Forecast
10.1.5 Middle East & Africa Generative AI in Construction Forecast
10.2 Americas Generative AI in Construction Forecast by Country (2025-2030)
10.2.1 United States Market Generative AI in Construction Forecast
10.2.2 Canada Market Generative AI in Construction Forecast
10.2.3 Mexico Market Generative AI in Construction Forecast
10.2.4 Brazil Market Generative AI in Construction Forecast
10.3 APAC Generative AI in Construction Forecast by Region (2025-2030)
10.3.1 China Generative AI in Construction Market Forecast
10.3.2 Japan Market Generative AI in Construction Forecast
10.3.3 Korea Market Generative AI in Construction Forecast
10.3.4 Southeast Asia Market Generative AI in Construction Forecast
10.3.5 India Market Generative AI in Construction Forecast
10.3.6 Australia Market Generative AI in Construction Forecast
10.4 Europe Generative AI in Construction Forecast by Country (2025-2030)
10.4.1 Germany Market Generative AI in Construction Forecast
10.4.2 France Market Generative AI in Construction Forecast
10.4.3 UK Market Generative AI in Construction Forecast
10.4.4 Italy Market Generative AI in Construction Forecast
10.4.5 Russia Market Generative AI in Construction Forecast
10.5 Middle East & Africa Generative AI in Construction Forecast by Region (2025-2030)
10.5.1 Egypt Market Generative AI in Construction Forecast
10.5.2 South Africa Market Generative AI in Construction Forecast
10.5.3 Israel Market Generative AI in Construction Forecast
10.5.4 Turkey Market Generative AI in Construction Forecast
10.6 Global Generative AI in Construction Forecast by Type (2025-2030)
10.7 Global Generative AI in Construction Forecast by Application (2025-2030)
10.7.1 GCC Countries Market Generative AI in Construction Forecast
11 Key Players Analysis
11.1 Autodesk Inc
11.1.1 Autodesk Inc Company Information
11.1.2 Autodesk Inc Generative AI in Construction Product Offered
11.1.3 Autodesk Inc Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 Autodesk Inc Main Business Overview
11.1.5 Autodesk Inc Latest Developments
11.2 Dassault Systemes
11.2.1 Dassault Systemes Company Information
11.2.2 Dassault Systemes Generative AI in Construction Product Offered
11.2.3 Dassault Systemes Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 Dassault Systemes Main Business Overview
11.2.5 Dassault Systemes Latest Developments
11.3 Trimble
11.3.1 Trimble Company Information
11.3.2 Trimble Generative AI in Construction Product Offered
11.3.3 Trimble Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 Trimble Main Business Overview
11.3.5 Trimble Latest Developments
11.4 Bentley Systems
11.4.1 Bentley Systems Company Information
11.4.2 Bentley Systems Generative AI in Construction Product Offered
11.4.3 Bentley Systems Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 Bentley Systems Main Business Overview
11.4.5 Bentley Systems Latest Developments
11.5 Katerra
11.5.1 Katerra Company Information
11.5.2 Katerra Generative AI in Construction Product Offered
11.5.3 Katerra Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Katerra Main Business Overview
11.5.5 Katerra Latest Developments
11.6 Oracle Corporation
11.6.1 Oracle Corporation Company Information
11.6.2 Oracle Corporation Generative AI in Construction Product Offered
11.6.3 Oracle Corporation Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 Oracle Corporation Main Business Overview
11.6.5 Oracle Corporation Latest Developments
11.7 IBM Corporation
11.7.1 IBM Corporation Company Information
11.7.2 IBM Corporation Generative AI in Construction Product Offered
11.7.3 IBM Corporation Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 IBM Corporation Main Business Overview
11.7.5 IBM Corporation Latest Developments
11.8 Microsoft Corporation
11.8.1 Microsoft Corporation Company Information
11.8.2 Microsoft Corporation Generative AI in Construction Product Offered
11.8.3 Microsoft Corporation Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 Microsoft Corporation Main Business Overview
11.8.5 Microsoft Corporation Latest Developments
11.9 nTopology
11.9.1 nTopology Company Information
11.9.2 nTopology Generative AI in Construction Product Offered
11.9.3 nTopology Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 nTopology Main Business Overview
11.9.5 nTopology Latest Developments
11.10 Graphisoft
11.10.1 Graphisoft Company Information
11.10.2 Graphisoft Generative AI in Construction Product Offered
11.10.3 Graphisoft Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 Graphisoft Main Business Overview
11.10.5 Graphisoft Latest Developments
11.11 Honeywell Forge
11.11.1 Honeywell Forge Company Information
11.11.2 Honeywell Forge Generative AI in Construction Product Offered
11.11.3 Honeywell Forge Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 Honeywell Forge Main Business Overview
11.11.5 Honeywell Forge Latest Developments
11.12 EcoStruxure Platform
11.12.1 EcoStruxure Platform Company Information
11.12.2 EcoStruxure Platform Generative AI in Construction Product Offered
11.12.3 EcoStruxure Platform Generative AI in Construction Revenue, Gross Margin and Market Share (2019-2024)
11.12.4 EcoStruxure Platform Main Business Overview
11.12.5 EcoStruxure Platform Latest Developments
12 Research Findings and Conclusion

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