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.
Request a 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.
The global AI in construction market is expected to reach approximately USD 2,011.4 million by 2023 growing with a 35% CAGR over the forecast period 2017-2023
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.
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.
Get Complete Report @ https://www.marketresearchfuture.com/reports/ai-in-construction-market-6035
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
Company Name: Market Research Future
Contact Person: Abhishek Sawant
Email: Send Email
Phone: +1 646 845 9312
Address:Market Research Future Office No. 528, Amanora Chambers Magarpatta Road, Hadapsar