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Global Artificial Intelligence in Construction Market | Expected to Reach USD 3554.22 Million | Growing at CAGR of 37.78% | Forecast Period 2022-2027

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. Pre & Post COVID-19 Impact Covered in this Report.

Global “Artificial Intelligence in Construction Market” (2022-2027) research report is an expert examination on the flow condition of the Global Artificial Intelligence in Construction industry. In addition, investigate report sorts the worldwide Artificial Intelligence in Construction market by top players/brands, area, type and end client. This report likewise examines the different Factors impacting the market development and drivers, further reveals insight into market review, key makers, key received by them, size, most recent patterns and types, income, net edge with provincial examination and figure.

With tables and figures helping analyze worldwide Global Artificial Intelligence in Construction market trends, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

Get a Sample PDF of the Report athttps://www.researchreportsworld.com/enquiry/request-sample/21564418

Key players in the global Artificial Intelligence in Construction market covered in Chapter 9:

  • SAP
  • Deepomatic
  • Coins Global
  • Autodesk
  • FuGenX Technologies
  • Predii
  • Assignar
  • Jaroop
  • Beyond Limits
  • Oracle
  • Microsoft
  • DarKTrace
  • Askporter
  • Alice Technologies
  • SmarTVid.Io
  • IBM

About Artificial Intelligence in Construction Market and Market Insights:

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 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.

Get a Sample Copy of the Artificial Intelligence in Construction Market Report 2022-2027

Global Artificial Intelligence in Construction Market Segmentation:

Global Artificial Intelligence in Construction Market is segmented in various types and applications according to product type and category. In terms of Value and Volume the growth of market calculated by providing CAGR for forecast period for year 2022 to 2027.

In Chapter 5 and Chapter 7.3, based on types, the Artificial Intelligence in Construction market from 2017 to 2027 is primarily split into:

  • Machine Learning and Deep Learning
  • Natural Language Processing (NLP)

In Chapter 6 and Chapter 7.4, based on applications, the Artificial Intelligence in Construction market from 2017 to 2027 covers:

  • Residential
  • Institutional Commercials
  • Heavy Construction
  • Others

Impact of COVID-19 on Artificial Intelligence in Construction Market:

Artificial Intelligence in Construction Market report analyses the impact of Coronavirus (COVID-19) on the Artificial Intelligence in Construction industry. Artificial Intelligence in Construction Market report explained the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Artificial Intelligence in Construction in a special period. This report also compares the market of Pre COVID-19 and Post COVID-19. Also report covers the analysis of the impact of COVID-19 from the perspective of the industry chain.

The biggest highlight of the report is to provide companies in the industry with a strategic analysis of the impact of COVID-19. At the same time, this report analyzed the market of leading 20 countries and introduce the market potential of these countries.

To Understand How COVID-19 Impact is covered in This Report. Get Sample copy of the report at-https://www.researchreportsworld.com/enquiry/request-covid19/21564418

Market Overview:

The report provides a basic overview of the industry including definitions, classifications, and industry chain structure. The Artificial Intelligence in Construction market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand, price, revenue and gross margins. The report focuses on major leading industry players providing information such as company profiles, product picture and specification, shipments, price, revenue and contact information. The Artificial Intelligence in Construction industry development trends are analyzed.

The Artificial Intelligence in Construction market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations during forecast period (2022-2027).

Some Question by Clients and Our Answer:

– Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the Artificial Intelligence in Construction market?

Yes. As the COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters 1.7, 2.7, 4.1, 7.5, 8.7, we elaborate at full length on the impact of the pandemic and the war on the Artificial Intelligence in Construction Industry.

– How do you determine the list of the key players included in the report?

With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale, but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.

Please find the key player list in Summary.

– What are your main data sources?

Both Primary and Secondary data sources are being used while compiling the report.

Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users.

Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.

Please find a more complete list of data sources in Chapters 11.2.1 and 11.2.2.

– Can I modify the scope of the report and customize it to suit my requirements?

Yes. Customized requirements of multi-dimensional, deep-level and high-quality can help our customers precisely grasp market opportunities, effortlessly confront market challenges, properly formulate market strategies and act promptly, thus to win them sufficient time and space for market competition.

– What was the Artificial Intelligence in Construction market share (%) distribution and how it will look like in 2027?

– What will be the Artificial Intelligence in Construction total market size as well as market size by devices across the during the forecast period (2022-2027)?

– What are the key findings pertaining to the market and which country will have the largest Artificial Intelligence in Construction market size during the forecast period?

– At what CAGR, the Artificial Intelligence in Construction market is expected to grow in the top regions during the forecast period?

– What will be the Artificial Intelligence in Construction market outlook during the forecast period?

– What will be the Artificial Intelligence in Construction market growth till 2027 and what will be the resultant market size in the year 2027?

Get a Sample Copy of the Artificial Intelligence in Construction Market Report 2022-2027

Scope of the Report:

The report covers the descriptive overview of Artificial Intelligence in Construction, explaining its applications, advantages, and limitations, etc.

Additionally, an all-inclusive account of the currently available Artificial Intelligence in Construction is provided, which will have an impact on the future market of Artificial Intelligence in Construction.

A detailed review of Artificial Intelligence in Construction market; historical and forecasted market size is included in the report.

The report provides an edge while developing business strategies, by understanding trends shaping and driving the Artificial Intelligence in Construction market.

The report Global Artificial Intelligence in Construction Market (2022-2027) provides an in-depth analysis of the global Artificial Intelligence in Construction market including detailed description of market sizing and growth. The report provides analysis of the global Artificial Intelligence in Construction market by value and the global Artificial Intelligence in Construction market by region. The report also provides regional analysis of the Artificial Intelligence in Construction market for various other regions such as the US, Europe, Japan, China and India.

Furthermore, the report also assesses the key opportunities in the market and outlines the factors that are and will be driving the growth of the industry. Growth of the overall global Artificial Intelligence in Construction market has also been forecasted for the period 2022-2027, taking into consideration the previous growth patterns, the growth drivers and the current and future trends.

Enquire before purchasing this report –https://www.researchreportsworld.com/enquiry/pre-order-enquiry/21564418

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Artificial Intelligence in Construction market presented in the report. This section sheds light on the sales growth of different regional and country-level Artificial Intelligence in Construction markets. Research report provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Artificial Intelligence in Construction market.

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 (Germany, UK, France, Italy, Spain, Russia, Poland)
  • China
  • Japan
  • India
  • Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam)
  • Latin America (Brazil, Mexico, Colombia)
  • Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria)
  • Other Regions

Reasons to buy

  • Achieve an up-to-date understanding of the landscape of the overall Artificial Intelligence in Construction Market, on both a broad and granular level; this also provides a highly accessible reference which is useful in any strategic decision making process.
  • Benchmark key therapy areas and indications in terms of the number of Artificial Intelligence in Construction products and level of innovation and assess one’s own strategic positioning against this backdrop.
  • Understand the contemporary role and importance of radical and incremental innovation within the various areas and indications.
  • Make key decisions about the role of innovation within one’s own Artificial Intelligence in Construction portfolio.

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Table of Content:

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)
4.4 United States Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.4.1 United States Artificial Intelligence in Construction Market Under COVID-19
4.5 Europe Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.5.1 Europe Artificial Intelligence in Construction Market Under COVID-19
4.6 China Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.6.1 China Artificial Intelligence in Construction Market Under COVID-19
4.7 Japan Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.7.1 Japan Artificial Intelligence in Construction Market Under COVID-19
4.8 India Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.8.1 India Artificial Intelligence in Construction Market Under COVID-19
4.9 Southeast Asia Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.9.1 Southeast Asia Artificial Intelligence in Construction Market Under COVID-19
4.10 Latin America Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.10.1 Latin America Artificial Intelligence in Construction Market Under COVID-19
4.11 Middle East and Africa Artificial Intelligence in Construction Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.11.1 Middle East and Africa Artificial Intelligence in Construction Market Under COVID-19

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 Machine Learning and Deep Learning (2017-2022)
5.4.2 Global Artificial Intelligence in Construction Sales Volume, Revenue and Growth Rate of Natural Language Processing (NLP) (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)
6.3.1 Global Artificial Intelligence in Construction Consumption and Growth Rate of Residential (2017-2022)
6.3.2 Global Artificial Intelligence in Construction Consumption and Growth Rate of Institutional Commercials (2017-2022)
6.3.3 Global Artificial Intelligence in Construction Consumption and Growth Rate of Heavy Construction (2017-2022)
6.3.4 Global Artificial Intelligence in Construction Consumption and Growth Rate of Others (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)
7.2.1 United States Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.2 Europe Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.3 China Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.4 Japan Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.5 India Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.6 Southeast Asia Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.7 Latin America Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.2.8 Middle East and Africa Artificial Intelligence in Construction Sales Volume and Revenue Forecast (2022-2027)
7.3 Global Artificial Intelligence in Construction Sales Volume, Revenue and Price Forecast by Type (2022-2027)
7.3.1 Global Artificial Intelligence in Construction Revenue and Growth Rate of Machine Learning and Deep Learning (2022-2027)
7.3.2 Global Artificial Intelligence in Construction Revenue and Growth Rate of Natural Language Processing (NLP) (2022-2027)
7.4 Global Artificial Intelligence in Construction Consumption Forecast by Application (2022-2027)
7.4.1 Global Artificial Intelligence in Construction Consumption Value and Growth Rate of Residential(2022-2027)
7.4.2 Global Artificial Intelligence in Construction Consumption Value and Growth Rate of Institutional Commercials(2022-2027)
7.4.3 Global Artificial Intelligence in Construction Consumption Value and Growth Rate of Heavy Construction(2022-2027)
7.4.4 Global Artificial Intelligence in Construction Consumption Value and Growth Rate of Others(2022-2027)
7.5 Artificial Intelligence in Construction Market Forecast Under COVID-19

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
9.1 SAP
9.1.1 SAP Basic Information, Manufacturing Base, Sales Region and Competitors
9.1.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.1.3 SAP Market Performance (2017-2022)
9.1.4 Recent Development
9.1.5 SWOT Analysis
9.2 Deepomatic
9.2.1 Deepomatic Basic Information, Manufacturing Base, Sales Region and Competitors
9.2.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.2.3 Deepomatic Market Performance (2017-2022)
9.2.4 Recent Development
9.2.5 SWOT Analysis
9.3 Coins Global
9.3.1 Coins Global Basic Information, Manufacturing Base, Sales Region and Competitors
9.3.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.3.3 Coins Global Market Performance (2017-2022)
9.3.4 Recent Development
9.3.5 SWOT Analysis
9.4 Autodesk
9.4.1 Autodesk Basic Information, Manufacturing Base, Sales Region and Competitors
9.4.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.4.3 Autodesk Market Performance (2017-2022)
9.4.4 Recent Development
9.4.5 SWOT Analysis
9.5 FuGenX Technologies
9.5.1 FuGenX Technologies Basic Information, Manufacturing Base, Sales Region and Competitors
9.5.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.5.3 FuGenX Technologies Market Performance (2017-2022)
9.5.4 Recent Development
9.5.5 SWOT Analysis
9.6 Predii
9.6.1 Predii Basic Information, Manufacturing Base, Sales Region and Competitors
9.6.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.6.3 Predii Market Performance (2017-2022)
9.6.4 Recent Development
9.6.5 SWOT Analysis
9.7 Assignar
9.7.1 Assignar Basic Information, Manufacturing Base, Sales Region and Competitors
9.7.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.7.3 Assignar Market Performance (2017-2022)
9.7.4 Recent Development
9.7.5 SWOT Analysis
9.8 Jaroop
9.8.1 Jaroop Basic Information, Manufacturing Base, Sales Region and Competitors
9.8.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.8.3 Jaroop Market Performance (2017-2022)
9.8.4 Recent Development
9.8.5 SWOT Analysis
9.9 Beyond Limits
9.9.1 Beyond Limits Basic Information, Manufacturing Base, Sales Region and Competitors
9.9.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.9.3 Beyond Limits Market Performance (2017-2022)
9.9.4 Recent Development
9.9.5 SWOT Analysis
9.10 Oracle
9.10.1 Oracle Basic Information, Manufacturing Base, Sales Region and Competitors
9.10.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.10.3 Oracle Market Performance (2017-2022)
9.10.4 Recent Development
9.10.5 SWOT Analysis
9.11 Microsoft
9.11.1 Microsoft Basic Information, Manufacturing Base, Sales Region and Competitors
9.11.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.11.3 Microsoft Market Performance (2017-2022)
9.11.4 Recent Development
9.11.5 SWOT Analysis
9.12 DarKTrace
9.12.1 DarKTrace Basic Information, Manufacturing Base, Sales Region and Competitors
9.12.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.12.3 DarKTrace Market Performance (2017-2022)
9.12.4 Recent Development
9.12.5 SWOT Analysis
9.13 Askporter
9.13.1 Askporter Basic Information, Manufacturing Base, Sales Region and Competitors
9.13.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.13.3 Askporter Market Performance (2017-2022)
9.13.4 Recent Development
9.13.5 SWOT Analysis
9.14 Alice Technologies
9.14.1 Alice Technologies Basic Information, Manufacturing Base, Sales Region and Competitors
9.14.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.14.3 Alice Technologies Market Performance (2017-2022)
9.14.4 Recent Development
9.14.5 SWOT Analysis
9.15 SmarTVid.Io
9.15.1 SmarTVid.Io Basic Information, Manufacturing Base, Sales Region and Competitors
9.15.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.15.3 SmarTVid.Io Market Performance (2017-2022)
9.15.4 Recent Development
9.15.5 SWOT Analysis
9.16 IBM
9.16.1 IBM Basic Information, Manufacturing Base, Sales Region and Competitors
9.16.2 Artificial Intelligence in Construction Product Profiles, Application and Specification
9.16.3 IBM Market Performance (2017-2022)
9.16.4 Recent Development
9.16.5 SWOT Analysis

10 Research Findings and Conclusion

11 Appendix
11.1 Methodology
11.2 Research Data Source

Continued. . .

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