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The artificial intelligence (AI) in construction market is forecasted to grow by USD 40.03 billion during 2024-2029, accelerating at a CAGR of 56.5% during the forecast period. The report on the artificial intelligence (AI) in construction market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing demand for data integration and visual analytics, reliability of data-guided decisions, and growth of global construction market.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The artificial intelligence (AI) in construction market is segmented as below:
By Component
- Software
- Services
- Hardware
By End-user
- Large enterprises
- SMEs
By Type
- Machine learning
- Computer vision
- NLP
By Geographical Landscape
- North America
- Europe
- APAC
- Middle East and Africa
- South America
The report on the artificial intelligence (AI) in construction market covers the following areas:
- Artificial Intelligence (AI) In Construction Market sizing
- Artificial Intelligence (AI) In Construction Market forecast
- Artificial Intelligence (AI) In Construction Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Qualitative Analysis
7 Five Forces Analysis
8 Market Segmentation by Component
9 Market Segmentation by End-user
10 Market Segmentation by Type
11 Customer Landscape
12 Geographic Landscape
13 Drivers, Challenges, and Opportunity/Restraints
14 Competitive Landscape
15 Competitive Analysis
16 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global artificial intelligence (AI) in construction market: ALICE Technologies, Amazon.com Inc., Autodesk Inc., Bentley Systems Inc., Buildots Ltd, Customindz Inc., Dassault Systemes SE, Doxel Inc., eSUB Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., NVIDIA Corp., Oracle Corp., PTC Inc., SAP SE, Siemens AG, The Access Group, and TUV SUD AG.Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is automatic updating and building of projects."
According to the report, one of the major drivers for this market is the increasing demand for data integration and visual analytics.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ALICE Technologies
- Amazon.com Inc.
- Autodesk Inc.
- Bentley Systems Inc.
- Buildots Ltd
- Customindz Inc.
- Dassault Systemes SE
- Doxel Inc.
- eSUB Inc.
- Intel Corp.
- International Business Machines Corp.
- Microsoft Corp.
- NVIDIA Corp.
- Oracle Corp.
- PTC Inc.
- SAP SE
- Siemens AG
- The Access Group
- TUV SUD AG
