New York, NY -- (SBWIRE) -- 10/19/2020 -- The 'Global Artificial Intelligence (AI) in Construction Market' Report recently published by Reports and Data provides a comprehensive examination of the critical development patterns found in the business. The report is an exclusive document containing valuable data and information about the growth of the industry. The report includes beneficial insights about the market dynamics, profit margins, market share, gross revenue, and other fundamental segments of the market for the forecast period of 2020-2027. The study provides competitive landscape benchmarking to shed light on the key players operating in the industry.

The report studies the factors that are likely to influence the growth of the Artificial Intelligence (AI) in Construction market. The report includes the impact of the COVID-19 pandemic on the Artificial Intelligence (AI) in Construction industry. The report offers an in-depth analysis of the market size, market share, and market growth and its estimation through the forecast years on the basis of the COVID-19 crisis. The report is attuned to the recent COVID-19 crisis and its impact on the global market. The report explores the present and future impact of the pandemic and provides an insight into the market scenario in the post-pandemic world.

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The key companies operating in the Artificial Intelligence (AI) in Construction market are as follows: IBM, Renoworks Software, Microsoft, Autodesk, SAP, Oracle, Alice Technologies, Building System Planning, eSUB, Askporter, Darktrace, SmarTVid.Io, Jaroop, Aurora Computer Services, Predii, Lili.Ai, Deepomatic, Assignar, Beyond Limits, Coins Global, Plangrid, Doxel, and Bentley Systems, among others.

Extensive Analysis of the Regional Landscape:

The report extensively studies the major geographical regions for the analysis of market size, share, growth, and trends. The regions included are North America, Latin America, Asia Pacific, Europe, and Middle East & Africa. The Artificial Intelligence (AI) in Construction market report summarizes details such as market share of the regions, consumer demand and patterns of each region, revenue estimations, expected growth rate, and which segment and region will dominate the market in the forecast years.

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Competitive Landscape of the Artificial Intelligence (AI) in Construction Market:

The investigative report of the global Artificial Intelligence (AI) in Construction market provides an in-depth assessment of the leading companies and top manufacturers operating in the global Artificial Intelligence (AI) in Construction sector. It also brings to light the companies largely contributing to the economic scenario of the global Artificial Intelligence (AI) in Construction market as well as scrutinizes the companies holding the largest share of the market.

Furthermore, the report discusses the business strategies undertaken by the companies to gain market share and a larger consumer base. It further provides details on the strategic initiatives taken by the companies to expand their business, such as mergers and acquisitions, joint ventures, collaborations, product launches, partnerships & agreements, recent deals, government deals, and advancements in technologies and products.

The report provides a comprehensive summary of the leading companies along with their extensive profiling to provide assistance to the readers to maximize the current and emerging growth prospects to make beneficial decisions.

Artificial Intelligence (AI) in Construction Market Segmentation:

The research report on the Artificial Intelligence (AI) in Construction market provides a comprehensive analysis of the major product types and applications in the Artificial Intelligence (AI) in Construction market. The report also offers details about market share and market value held by each application and product type.

Technology Outlook (Revenue, USD Million; 2016-2026)

Machine Learning and Deep Learning
Natural Language Processing

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Component Outlook (Revenue, USD Million; 2016-2026)

Solutions
Services

Organization Size Outlook (Revenue, USD Million; 2016-2026)

Small and Medium-Sized Enterprises
Large Enterprises

Deployment Type Outlook (Revenue, USD Million; 2016-2026)

Cloud
On-premises

Phase Outlook (Revenue, USD Million; 2016-2026)

Pre-construction
Construction stage
Post-construction

Applications Outlook (Revenue, USD Million; 2016-2026)

Project management
Field management
Risk management
Schedule management
Supply chain management
Others

End-use Outlook (Revenue, USD Million; 2016-2026)

Planning and Design
Safety
Equipment
Monitoring and Maintenance

Objectives of the Artificial Intelligence (AI) in Construction Market Report:

Thorough research on growth patterns, sizes, leading players, and key segments of the global Artificial Intelligence (AI) in Construction market
Key business priorities to provide insights to companies to formulate new business strategies
The key highlights and recommendations provide comprehensive information about progressive industry trends to help companies plan their long term goals
Detailed information on market trends, driving factors, restraining factors, product segmentation, and industry chain analysis, aiding the decision-making process

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