AI in Construction Market Analysis 2018 (By Segment, Key Players and Applications) and Forecasts To 2023

Report 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.

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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.)

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

Research Methodology
analysis is conducted by industry experts who offer insight into industry structure, market segmentation, technology assessment, competitive landscape (CL), and market penetration, as well as on emerging trends. Besides primary interviews (~80%) and secondary research (~20%), their analysis is based on years of professional expertise in their respective industries. Our analysts also predict where the market will be headed in the next five to 10 years, by analyzing historical trends and current market positions. Furthermore, the varying trends of segments and categories in different regions are estimated based on primary and secondary research.
Both the top-down and bottom-up approaches were used to estimate and validate the size of the market and to estimate the size of various other dependent sub-markets. The key players in the market were identified through secondary research, and their market contributions in the respective regions were determined through primary and secondary research. This entire process included the study of the annual and financial reports of the top market players and extensive interviews for key insights with industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to arrive at the final quantitative and qualitative data.

Table of Content: Key Points
1 Executive Summary
2 Scope Of The Report
3 Market Research Methodology
4 Market Landscape
5 Industry Overview Of Global AI In Construction Market
6 Market Trends
7. Global AI In Construction Market By Component
…Continued

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