Artificial Intelligence in Construction Market Research Report 2022-2027 provides granular analysis on top growing regional segments, opportunities, challenges, supply-demand scenario, CAGR status, development trends of Top Manufacturers – SAP, Deepomatic, Coins Global, Autodesk, FuGenX Technologies, Predii, Assignar
“Final Report will add the analysis of the impact of COVID-19 on this industry.”
The “Artificial Intelligence in Construction Market” report 2022 expresses major statistical breakdown study on current and future market scenario, upcoming demand status, and industry segmentation details like type, application and regional analysis. It focuses on historical analysis of business developments, trends, opportunities and challenges in industry. Artificial Intelligence in Construction market research report (111 Pages) cover industry key dynamics analysis, top manufacturers (company profiles, sales value and volume), market sizing (mainly includes product type, application, and geography), revenue estimations, CAGR values and supply-demand scenario at global and regional level. The report incorporates top key player’s analysis with top growing business strategies, technological advancements, emerging technologies and production-consumption capacity over the forecast period.
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The global Artificial Intelligence in Construction market size was valued at USD 519.63 million in 2021 and is expected to expand at a CAGR of 37.78% during the forecast period, reaching USD 3554.22 million by 2027.Artificial Intelligence allows contractors to build smarter, cheaper and more efficiently, disrupting an industry that is changing rapidly.Using Artificial intelligence, owners and contractors can use a supervised learning system to from collected environmental data, building data, material data etc. to identify the best way to create a building or even a community. A contractor may build a home in a new area or region. A construction AI system may recommend to a builder what materials, specific design languages, and costs are needed to create the home based on available data, within seconds.
The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:
- SAP
- Deepomatic
- Coins Global
- Autodesk
- FuGenX Technologies
- Predii
- Assignar
- Jaroop
- Beyond Limits
- Oracle
- Microsoft
- DarKTrace
- Askporter
- Alice Technologies
- SmarTVid.Io
- IBM
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The report combines extensive quantitative analysis and exhaustive qualitative analysis, ranges from a macro overview of the total market size, industry chain, and market dynamics to micro details of segment markets by type, application and region, and, as a result, provides a holistic view of, as well as a deep insight into the Artificial Intelligence in Construction market covering all its essential aspects.
For the competitive landscape, the report also introduces players in the industry from the perspective of the market share, concentration ratio, etc., and describes the leading companies in detail, with which the readers can get a better idea of their competitors and acquire an in-depth understanding of the competitive situation. Further, mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts will all be considered.
In a nutshell, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the market in any manner.
The report delivers a comprehensive study of all the segments and shares information regarding the leading regions in the market. This report also states import/export consumption, supply and demand Figures, cost, industry share, policy, price, revenue, and gross margins.
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Artificial Intelligence in Construction Market Segmentation by Types:
- Machine Learning and Deep Learning
- Natural Language Processing (NLP)
Application Segments Covered in the Report:
- Residential
- Institutional Commercials
- Heavy Construction
- Others
Years considered for this report:
Historical Years: 2017-2021
Base Year: 2021
Estimated Year: 2022
Forecast Period: 2022-2027
Geographically, the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2017 -2027) of the following regions:
- United States
- Europe
- China
- Japan
- India
- Southeast Asia
- Latin America
- Middle East and Africa
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The Artificial Intelligence in Construction Market Report Covers Following Points:
Chapter 1 mainly defines the market scope and introduces the macro overview of the industry, with an executive summary of different market segments ((by type, application, region, etc.), including the definition, market size, and trend of each market segment.
Chapter 2 provides a qualitative analysis of the current status and future trends of the market. Industry Entry Barriers, market drivers, market challenges, emerging markets, consumer preference analysis, together with the impact of the COVID-19 outbreak will all be thoroughly explained.
Chapter 3 analyzes the current competitive situation of the market by providing data regarding the players, including their sales volume and revenue with corresponding market shares, price and gross margin. In addition, information about market concentration ratio, mergers, acquisitions, and expansion plans will also be covered.
Chapter 4 focuses on the regional market, presenting detailed data (i.e., sales volume, revenue, price, gross margin) of the most representative regions and countries in the world.
Chapter 5 provides the analysis of various market segments according to product types, covering sales volume, revenue along with market share and growth rate, plus the price analysis of each type.
Chapter 6 shows the breakdown data of different applications, including the consumption and revenue with market share and growth rate, with the aim of helping the readers to take a close-up look at the downstream market.
Chapter 7 provides a combination of quantitative and qualitative analyses of the market size and development trends in the next five years. The forecast information of the whole, as well as the breakdown market, offers the readers a chance to look into the future of the industry.
Chapter 8 is the analysis of the whole market industrial chain, covering key raw materials suppliers and price analysis, manufacturing cost structure analysis, alternative product analysis, also providing information on major distributors, downstream buyers, and the impact of COVID-19 pandemic.
Chapter 9 shares a list of the key players in the market, together with their basic information, product profiles, market performance (i.e., sales volume, price, revenue, gross margin), recent development, SWOT analysis, etc.
Chapter 10 is the conclusion of the report which helps the readers to sum up the main findings and points.
Chapter 11 introduces the market research methods and data sources.
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Detailed TOC of Artificial Intelligence in Construction Market Forecast Report 2022-2027:
1 Artificial Intelligence in Construction Market Overview
1.1 Product Overview and Scope of Artificial Intelligence in Construction Market
1.2 Artificial Intelligence in Construction Market Segment by Type
1.2.1 Global Artificial Intelligence in Construction Market Sales Volume and CAGR (%) Comparison by Type (2017-2027)
1.3 Global Artificial Intelligence in Construction Market Segment by Application
1.3.1 Artificial Intelligence in Construction Market Consumption (Sales Volume) Comparison by Application (2017-2027)
1.4 Global Artificial Intelligence in Construction Market, Region Wise (2017-2027)
1.4.1 Global Artificial Intelligence in Construction Market Size (Revenue) and CAGR (%) Comparison by Region (2017-2027)
1.4.2 United States Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.3 Europe Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.4 China Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.5 Japan Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.6 India Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.7 Southeast Asia Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.8 Latin America Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.4.9 Middle East and Africa Artificial Intelligence in Construction Market Status and Prospect (2017-2027)
1.5 Global Market Size of Artificial Intelligence in Construction (2017-2027)
1.5.1 Global Artificial Intelligence in Construction Market Revenue Status and Outlook (2017-2027)
1.5.2 Global Artificial Intelligence in Construction Market Sales Volume Status and Outlook (2017-2027)
1.6 Global Macroeconomic Analysis
1.7 The impact of the Russia-Ukraine war on the Artificial Intelligence in Construction Market
2 Industry Outlook
2.1 Artificial Intelligence in Construction Industry Technology Status and Trends
2.2 Industry Entry Barriers
2.2.1 Analysis of Financial Barriers
2.2.2 Analysis of Technical Barriers
2.2.3 Analysis of Talent Barriers
2.2.4 Analysis of Brand Barrier
2.3 Artificial Intelligence in Construction Market Drivers Analysis
2.4 Artificial Intelligence in Construction Market Challenges Analysis
2.5 Emerging Market Trends
2.6 Consumer Preference Analysis
2.7 Artificial Intelligence in Construction Industry Development Trends under COVID-19 Outbreak
2.7.1 Global COVID-19 Status Overview
2.7.2 Influence of COVID-19 Outbreak on Artificial Intelligence in Construction Industry Development
3 Global Artificial Intelligence in Construction Market Landscape by Player
3.1 Global Artificial Intelligence in Construction Sales Volume and Share by Player (2017-2022)
3.2 Global Artificial Intelligence in Construction Revenue and Market Share by Player (2017-2022)
3.3 Global Artificial Intelligence in Construction Average Price by Player (2017-2022)
3.4 Global Artificial Intelligence in Construction Gross Margin by Player (2017-2022)
3.5 Artificial Intelligence in Construction Market Competitive Situation and Trends
3.5.1 Artificial Intelligence in Construction Market Concentration Rate
3.5.2 Artificial Intelligence in Construction Market Share of Top 3 and Top 6 Players
3.5.3 Mergers and Acquisitions, Expansion
4 Global Artificial Intelligence in Construction Sales Volume and Revenue Region Wise (2017-2022)
4.1 Global Artificial Intelligence in Construction Sales Volume and Market Share, Region Wise (2017-2022)
4.2 Global Artificial Intelligence in Construction Revenue and Market Share, Region Wise (2017-2022)
4.3 Global Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
5 Global Artificial Intelligence in Construction Sales Volume, Revenue, Price Trend by Type
5.1 Global Artificial Intelligence in Construction Sales Volume and Market Share by Type (2017-2022)
5.2 Global Artificial Intelligence in Construction Revenue and Market Share by Type (2017-2022)
5.3 Global Artificial Intelligence in Construction Price by Type (2017-2022)
5.4 Global Artificial Intelligence in Construction Sales Volume, Revenue and Growth Rate by Type (2017-2022)
5.4.1 Global Artificial Intelligence in Construction Sales Volume, Revenue and Growth Rate of Conventional Artificial Intelligence in Construction (2017-2022)
5.4.2 Global Artificial Intelligence in Construction Sales Volume, Revenue and Growth Rate of Organic Artificial Intelligence in Construction (2017-2022)
6 Global Artificial Intelligence in Construction Market Analysis by Application
6.1 Global Artificial Intelligence in Construction Consumption and Market Share by Application (2017-2022)
6.2 Global Artificial Intelligence in Construction Consumption Revenue and Market Share by Application (2017-2022)
6.3 Global Artificial Intelligence in Construction Consumption and Growth Rate by Application (2017-2022)
7 Global Artificial Intelligence in Construction Market Forecast (2022-2027)
7.1 Global Artificial Intelligence in Construction Sales Volume, Revenue Forecast (2022-2027)
7.1.1 Global Artificial Intelligence in Construction Sales Volume and Growth Rate Forecast (2022-2027)
7.1.2 Global Artificial Intelligence in Construction Revenue and Growth Rate Forecast (2022-2027)
7.1.3 Global Artificial Intelligence in Construction Price and Trend Forecast (2022-2027)
7.2 Global Artificial Intelligence in Construction Sales Volume and Revenue Forecast, Region Wise (2022-2027)
7.3 Global Artificial Intelligence in Construction Sales Volume, Revenue and Price Forecast by Type (2022-2027)
7.4 Global Artificial Intelligence in Construction Consumption Forecast by Application (2022-2027)
8 Artificial Intelligence in Construction Market Upstream and Downstream Analysis
8.1 Artificial Intelligence in Construction Industrial Chain Analysis
8.2 Key Raw Materials Suppliers and Price Analysis
8.3 Manufacturing Cost Structure Analysis
8.3.1 Labor Cost Analysis
8.3.2 Energy Costs Analysis
8.3.3 RandD Costs Analysis
8.4 Alternative Product Analysis
8.5 Major Distributors of Artificial Intelligence in Construction Analysis
8.6 Major Downstream Buyers of Artificial Intelligence in Construction Analysis
8.7 Impact of COVID-19 and the Russia-Ukraine war on the Upstream and Downstream in the Artificial Intelligence in Construction Industry
9 Players Profiles
10 Research Findings and Conclusion
11 Appendix
11.1 Methodology
11.2 Research Data Source
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