Global Generative AI in Construction Market Research Report 2024

Publication ID:

PB504240407

Publication Date:

April 22, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

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 was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Generative AI in Construction is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Generative AI in Construction is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Generative AI in Construction in Design & Planning is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Generative AI in Construction include Autodesk Inc, Dassault Systemes, Trimble, Bentley Systems, Katerra, Oracle Corporation, IBM Corporation, Microsoft Corporation, nTopology, Graphisoft, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Generative AI in Construction, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Generative AI in Construction.
The Generative AI in Construction market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Generative AI in Construction market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Generative AI in Construction companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Autodesk Inc
Dassault Systemes
Trimble
Bentley Systems
Katerra
Oracle Corporation
IBM Corporation
Microsoft Corporation
nTopology
Graphisoft
Honeywell Forge
EcoStruxure Platform
Segment by Type
Machine Learning
Natural Language Processing
Others
Segment by Application
Design & Planning
Construction Optimization
Project Management
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Generative AI in Construction company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Generative AI in Construction Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Natural Language Processing
1.2.4 Others
1.3 Market by Application
1.3.1 Global Generative AI in Construction Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Design & Planning
1.3.3 Construction Optimization
1.3.4 Project Management
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Generative AI in Construction Market Perspective (2019-2030)
2.2 Global Generative AI in Construction Growth Trends by Region
2.2.1 Global Generative AI in Construction Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Generative AI in Construction Historic Market Size by Region (2019-2024)
2.2.3 Generative AI in Construction Forecasted Market Size by Region (2025-2030)
2.3 Generative AI in Construction Market Dynamics
2.3.1 Generative AI in Construction Industry Trends
2.3.2 Generative AI in Construction Market Drivers
2.3.3 Generative AI in Construction Market Challenges
2.3.4 Generative AI in Construction Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Generative AI in Construction Players by Revenue
3.1.1 Global Top Generative AI in Construction Players by Revenue (2019-2024)
3.1.2 Global Generative AI in Construction Revenue Market Share by Players (2019-2024)
3.2 Global Generative AI in Construction Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Generative AI in Construction Revenue
3.4 Global Generative AI in Construction Market Concentration Ratio
3.4.1 Global Generative AI in Construction Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Generative AI in Construction Revenue in 2023
3.5 Global Key Players of Generative AI in Construction Head office and Area Served
3.6 Global Key Players of Generative AI in Construction, Product and Application
3.7 Global Key Players of Generative AI in Construction, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Generative AI in Construction Breakdown Data by Type
4.1 Global Generative AI in Construction Historic Market Size by Type (2019-2024)
4.2 Global Generative AI in Construction Forecasted Market Size by Type (2025-2030)
5 Generative AI in Construction Breakdown Data by Application
5.1 Global Generative AI in Construction Historic Market Size by Application (2019-2024)
5.2 Global Generative AI in Construction Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Generative AI in Construction Market Size (2019-2030)
6.2 North America Generative AI in Construction Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Generative AI in Construction Market Size by Country (2019-2024)
6.4 North America Generative AI in Construction Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Generative AI in Construction Market Size (2019-2030)
7.2 Europe Generative AI in Construction Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Generative AI in Construction Market Size by Country (2019-2024)
7.4 Europe Generative AI in Construction Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Generative AI in Construction Market Size (2019-2030)
8.2 Asia-Pacific Generative AI in Construction Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Generative AI in Construction Market Size by Region (2019-2024)
8.4 Asia-Pacific Generative AI in Construction Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Generative AI in Construction Market Size (2019-2030)
9.2 Latin America Generative AI in Construction Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Generative AI in Construction Market Size by Country (2019-2024)
9.4 Latin America Generative AI in Construction Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Generative AI in Construction Market Size (2019-2030)
10.2 Middle East & Africa Generative AI in Construction Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Generative AI in Construction Market Size by Country (2019-2024)
10.4 Middle East & Africa Generative AI in Construction Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Autodesk Inc
11.1.1 Autodesk Inc Company Details
11.1.2 Autodesk Inc Business Overview
11.1.3 Autodesk Inc Generative AI in Construction Introduction
11.1.4 Autodesk Inc Revenue in Generative AI in Construction Business (2019-2024)
11.1.5 Autodesk Inc Recent Development
11.2 Dassault Systemes
11.2.1 Dassault Systemes Company Details
11.2.2 Dassault Systemes Business Overview
11.2.3 Dassault Systemes Generative AI in Construction Introduction
11.2.4 Dassault Systemes Revenue in Generative AI in Construction Business (2019-2024)
11.2.5 Dassault Systemes Recent Development
11.3 Trimble
11.3.1 Trimble Company Details
11.3.2 Trimble Business Overview
11.3.3 Trimble Generative AI in Construction Introduction
11.3.4 Trimble Revenue in Generative AI in Construction Business (2019-2024)
11.3.5 Trimble Recent Development
11.4 Bentley Systems
11.4.1 Bentley Systems Company Details
11.4.2 Bentley Systems Business Overview
11.4.3 Bentley Systems Generative AI in Construction Introduction
11.4.4 Bentley Systems Revenue in Generative AI in Construction Business (2019-2024)
11.4.5 Bentley Systems Recent Development
11.5 Katerra
11.5.1 Katerra Company Details
11.5.2 Katerra Business Overview
11.5.3 Katerra Generative AI in Construction Introduction
11.5.4 Katerra Revenue in Generative AI in Construction Business (2019-2024)
11.5.5 Katerra Recent Development
11.6 Oracle Corporation
11.6.1 Oracle Corporation Company Details
11.6.2 Oracle Corporation Business Overview
11.6.3 Oracle Corporation Generative AI in Construction Introduction
11.6.4 Oracle Corporation Revenue in Generative AI in Construction Business (2019-2024)
11.6.5 Oracle Corporation Recent Development
11.7 IBM Corporation
11.7.1 IBM Corporation Company Details
11.7.2 IBM Corporation Business Overview
11.7.3 IBM Corporation Generative AI in Construction Introduction
11.7.4 IBM Corporation Revenue in Generative AI in Construction Business (2019-2024)
11.7.5 IBM Corporation Recent Development
11.8 Microsoft Corporation
11.8.1 Microsoft Corporation Company Details
11.8.2 Microsoft Corporation Business Overview
11.8.3 Microsoft Corporation Generative AI in Construction Introduction
11.8.4 Microsoft Corporation Revenue in Generative AI in Construction Business (2019-2024)
11.8.5 Microsoft Corporation Recent Development
11.9 nTopology
11.9.1 nTopology Company Details
11.9.2 nTopology Business Overview
11.9.3 nTopology Generative AI in Construction Introduction
11.9.4 nTopology Revenue in Generative AI in Construction Business (2019-2024)
11.9.5 nTopology Recent Development
11.10 Graphisoft
11.10.1 Graphisoft Company Details
11.10.2 Graphisoft Business Overview
11.10.3 Graphisoft Generative AI in Construction Introduction
11.10.4 Graphisoft Revenue in Generative AI in Construction Business (2019-2024)
11.10.5 Graphisoft Recent Development
11.11 Honeywell Forge
11.11.1 Honeywell Forge Company Details
11.11.2 Honeywell Forge Business Overview
11.11.3 Honeywell Forge Generative AI in Construction Introduction
11.11.4 Honeywell Forge Revenue in Generative AI in Construction Business (2019-2024)
11.11.5 Honeywell Forge Recent Development
11.12 EcoStruxure Platform
11.12.1 EcoStruxure Platform Company Details
11.12.2 EcoStruxure Platform Business Overview
11.12.3 EcoStruxure Platform Generative AI in Construction Introduction
11.12.4 EcoStruxure Platform Revenue in Generative AI in Construction Business (2019-2024)
11.12.5 EcoStruxure Platform Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Autodesk Inc
Dassault Systemes
Trimble
Bentley Systems
Katerra
Oracle Corporation
IBM Corporation
Microsoft Corporation
nTopology
Graphisoft
Honeywell Forge
EcoStruxure Platform

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂