AI in Construction Market Size | Industry Analysis, Key Findings, Share, by Service Type, SegmentatiA Story by VilasMRFRGeographically, the AI in Construction Market is categorized into four different regions namely North America, Asia Pacific, Europe, and the Rest of the World.Market
Highlights Globally,
the AI in Construction Market is expected to have significant growth over the
forecast period. Surging demand for safety considerations and shortening the
project delays with accuracy are expected to be driving factors for the
development of AI in construction market over the assessment period. The
AI in construction market is differentiated by stage, component, technology,
deployment, organization size, and application. On
the basis of stage, the market is categorized into pre-construction,
construction stage, and post-construction. By component, the AI in construction
market is sub-segmented as solutions and services. The solution segment is
categorized as virtual assistant, design & planning, revenue estimation,
demand forecasting, predictive maintenance, and others. The service sub-segment
comprise training & consulting, implementation services, and other support
services. Get Sample Report @ https://www.marketresearchfuture.com/sample_request/6035 On
the basis of technology, the market is segregated into neural networks, machine
learning & deep learning, and natural learning programming (NLP).
Additionally, on the basis of deployment, the market is bifurcated into
on-cloud and on-premise. Depending on the organization size, the market is
classified as large enterprises and small & medium enterprises. On the
basis of application, the market is categorized as building information
management, schedule management, project management, risk management, equipment
management, and supply chain management. Key
Players Some
of the key players of 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.),and Building
System Planning (U.S.). Some
other vendors who are involved in AI construction market are Jaroop, Lili.Ai,
Predii, Assignar, Deepomatic, Coins Global, Beyond Limits, Doxel Askporter,
Plangrid, Bentley Systems, and Renoworks Software. Regional
Analysis Geographically,
the AI in Construction Market is categorized into four different regions namely
North America, Asia Pacific, Europe, and the Rest of the World. North
America is presumed to have significant growth in the AI in the construction
market. The United States and Canada are the leading countries in the market.
The market growth is attributed to the presence of telecom giants such as IBM
Corporation, Oracle Corporation and many more, which readily invest in research
and development explicitly for developing machine learning and deep learning
techniques. LIST OF TABLES Table1
Global AI In Construction Market: By Region, 2018-2023 Table2
North America AI In Construction Market: By Country, 2018-2023 Table3
Europe AI In Construction Market: By Country, 2018-2023 Table4
Asia Pacific AI In Construction Market: By Country, 2018-2023 Table5
The Middle East & Africa AI In Construction Market: By Country, 2018-2023 Continued…… Get Report
Details @ https://www.marketresearchfuture.com/reports/ai-in-construction-market-6035 LIST OF FIGURES FIGURE
1 Global AI In Construction Software Market Segmentation FIGURE
2 Forecast Methodology FIGURE
3 Porter’s Five Forces Analysis Of Global AI In Construction Software Market FIGURE
4 Value Chain Of Global AI In Construction Software Market FIGURE
5 Share Of Global AI In Construction Software Market In 2018, By Country (In %) Continued…… About Market Research Future: At Market Research Future (MRFR), we enable our customers to
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Added on July 24, 2018 Last Updated on July 24, 2018 Tags: AI in Construction Market, AI in Construction Market size, AI in Construction Market share, AI in Construction Market trends, AI in Construction Market growth, AI in Construction Market foreca Author
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