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Artificial Intelligence (AI) in Construction Market Type (Residential, Institutional Commercial, and Heavy Construction) to USD +1,830 Million by 2023

According to the Artificial Intelligence (AI) in construction market survey report, the market is expected to witness a relatively higher growth rate during the forecast period 2018-2023.

 

Houston, TX -- (SBWIRE) -- 05/21/2018 -- Global Artificial Intelligence (AI) in Construction Market entails the dominant regions in the market during the forecast period. Information on the region leading this market and the reasons for the dominance of this region are also some of the aspects highlighted under this section of the report. The competitive landscape section of the report presents the major vendors operating in the global Artificial Intelligence (AI) in Construction market. These technologies have the capability to perform tasks that require human intelligence. The construction industry has started to explore the benefits of incorporating AI into their business processes. AI solution and services help the industry in saving time and reducing the overall project expenses.

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Artificial Intelligence (AI) in construction market to grow from USD +406 Million in 2018 to USD +1,830 Million by 2023, at a Compound Annual Growth Rate (CAGR) of +34% during the forecast period

Report presents an in-depth overview of the current state of the Global Artificial Intelligence (AI) in Construction Market, with details regarding the working, design, types of products available in the market, processes involved in the manufacturing of the products, and the potential impact on growth prospects of the vast regulations levied on the import, export, and global sales of this heavily popular commodity.

Some of the leading vendors: IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io (US), Aurora Computer Services (England), Autodesk (US), and Building System Planning (US).

Studies the market for Artificial Intelligence (AI) in Construction from a global perspective while also analyzing it for key regional markets, including North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. On these fronts, the market is analyzed on the basis of criteria such as market value, key segments, market volume, and distribution channels

Presenting an introduction to the Global Artificial Intelligence (AI) in Construction Market. In this section, the current size of the market and its expected size at the end of the forecast period has also been presented. The technological developments taking place in this market and their impact on the development of this market has also been presented. The future prospects of the market and the key strategies adopted by players for better penetration have also been summarized under this study.

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Describing the competitive hierarchy in the global Artificial Intelligence (AI) in Construction market, the report profiles some of the key players operating in the market. Dynamic data about the noteworthy players including their financial overview, business segmentation, product portfolio, and revenue has been included in the report. Latest developments in the industry have been taken into deliberation while projecting the future stance of the market. The report additionally defines the various marketing channels prevailing in the market and delivers information about some of the imperative distributors operating in the market. The report serves as a helpful guide for the new as well as existing players in the market.

Table of Content:

Chapter 1 Artificial Intelligence (AI) in Construction Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis