WiseGuyReports.Com Publish a New Market Research Report On –“ AI in Construction Market Enabling Technologies, Applications, Standardization, Key Trends Forecasts 2023”.
Pune, India - February 21, 2019 /MarketersMedia/ —
AI in Construction Industry 2019
Description:-
This report analyzes the global AI in construction market by stage (pre-construction, construction stage, post-construction), component (solutions & services), technology (machine & deep learning, NLP, neural networks), and by application; it also studies the top manufacturers in the market.
The global AI in construction market is projected to reach USD 2,011.4 million by 2023, at a CAGR of 35% during the forecast period 2017-2023.
The major players in global AI in construction market include:
• IBM Corporation (U.S.)
• Oracle Corporation (U.S)
• SAP SE (Germany)
• Alice Technologies. (U.S.)
• Microsoft Corporation (U.S.)
• Aurora Computer Services (U.K)
• Autodesk (U.S.)
• eSUB (U.S.)
• Smartvid.io (U.S.)
• Building System Planning (U.S.)
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The market revenue and share have been analyzed with respect to the following regions and countries:
Americas
North America
U.S.
Canada
Europe
Western Europe
Germany
France
U.K.
Rest of Europe
Asia–Pacific
Asia
China
India
Japan
Rest of Asia Pacific
Rest of the World
The Middle East & Africa
Latin Countries
On the basis of stage, the global AI in construction market has been categorized into the following segments:
• Pre-Construction
• Construction Stage
• Post-Construction
On the basis of component, the global AI in construction market has been categorized into the following segments:
• Solutions & Services
On the basis of technology, the global AI in construction market has been categorized into the following segments:
• Machine & Deep learning
• NLP
• Neural Networks
On the basis of application, the global AI in construction market has been categorized into the following segments:
• Building information management
• Schedule management
• project management
• Risk management
• Equipment management
• Supply chain management
…….
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Table Of Contents – Major Key Points
1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
4.1 Porter’s Five Forces Analysis
4.1.1 Threat Of New Entrants
4.1.2 Bargaining Power Of Buyers
4.1.3 Threat Of Substitutes
4.1.4 Segment Rivalry
4.1.5 Bargaining Power Of Suppliers
4.2 Value Chain/Supply Chain Of Global AI In Construction Market
5 Industry Overview Of Global AI In Construction Market
5.1 Introduction
5.2 Growth Drivers
5.3 Impact Analysis
5.4 Market Challenges
6 Market Trends
6.1 Introduction
6.2 Growth Trends
6.3 Impact Analysis
7. Global AI In Construction Market By Component
7.1 Introduction
7.2 Software
7.2.1 Virtual Assistant
7.2.1.1 Market Estimates & Forecast, 2017-2023
7.2.1.2 Market Estimates & Forecast By Region, 2017-2023
7.2.2 Design & Planning
7.2.2.1 Market Estimates & Forecast, 2017-2023
7.2.2.2 Market Estimates & Forecast By Region, 2017-2023
7.2.3 Revenue Estimation
7.2.3.1 Market Estimates & Forecast, 2017-2023
7.2.3.2 Market Estimates & Forecast By Region, 2017-2023
7.2.4 Demand Forecasting
7.2.4.1 Market Estimates & Forecast, 2017-2023
7.2.4.2 Market Estimates & Forecast By Region, 2017-2023
7.2.5 Predictive Maintenance
7.2.5.1 Market Estimates & Forecast, 2017-2023
7.2.5.2 Market Estimates & Forecast By Region, 2017-2023
7.2.6 Others
7.2.6.1 Market Estimates & Forecast, 2017-2023
7.2.6.2 Market Estimates & Forecast By Region, 2017-2023
Continued……
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Source: MarketersMedia
Release ID: 484744
