Global Artificial Intelligence in Construction Market Analysis, Segmentation, Competitors Analysis and Trend Research and Forecast by 2023 Along with Top Key Players like IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB
Pune, India -- (SBWIRE) -- 06/19/2018 -- The Artificial Intelligence is used in the creation of construction plans. Autonomous equipment is considered as AI as it is aware of its surroundings and is capable of navigation without human input. In the planning stages, AI machinery can survey a proposed construction site and gather enough information to create 3D maps, blueprints and construction plans. Before this advancement, these processes would take weeks – now they can be done in one day. This helps to save firms both time and money in the form of labor.
"The reports expect the Global Artificial Intelligence (AI) in construction Market to grow from USD 407.2 million in 2018 to USD 1,831.0 million by 2023, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period."
Global Artificial Intelligence in construction Market the cloud deployment type offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. AI in construction solution providers are focusing on deploying robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment type.
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The Global Artificial Intelligence in Construction Market is dominated by key players such as IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, SmarTVid.Io, DarKTrace, Aurora Computer Services, Autodesk, Jaroop, Lili.Ai, Predii, Assignar, Deepomatic, Coins Global, Beyond Limits, Doxel, Askporter, Plangrid, Renoworks Software, Building System Planning, Bentley Systems.
The report estimates Artificial Intelligence in Construction Market and development trends analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out. In the end, the report makes some important proposals for a new project of Lens Converters Industry before evaluating its feasibility. Overall, the report provides an in-depth insight of Market covering all important parameters.
In the end, this report covers data and information on capacity and production overview, production, market share analysis, sales overview, supply, sales, and shortage, import, export and consumption as well as cost, price, revenue and gross margin of Artificial Intelligence in Construction Market.
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Table of Content:
Chapter 1 Artificial Intelligence in Construction Market Overview
Chapter 2 Global Economic Impact on Artificial Intelligence in Construction Market Industry
Chapter 3 Global Artificial Intelligence in Construction Market Competition by Manufacturers
Chapter 4 Global Artificial Intelligence in Construction Production, Revenue (Value) by Region (2017-2022)
Chapter 5 Global Artificial Intelligence in Construction Supply (Production), Consumption, Export, Import by Regions (2017-2022)
Chapter 6 Global Artificial Intelligence in Construction Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Artificial Intelligence in Construction Market Analysis by Application
Chapter 8 Artificial Intelligence in Construction Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
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