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+35% CAGR to Achieved by Artificial Intelligence (AI) in Construction Market by Top Companies – Global Forecast to 2023

This report on Artificial Intelligence (AI) in Construction Market studied by Technology, Deployment and Industry Type, and Application- Global Forecast to 2023

PUNE, MAHARASHTRA, INDIA, June 4, 2018 /EINPresswire.com/ -- The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capability of AI in construction solutions and services for reducing the production costs are expected to drive the growth of the AI in construction market. Few investments made in technological Research and Development (R&D) is expected to act as the major restraint for the market growth. 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.

The Global Artificial Intelligence (AI) in Construction Market size is estimated to grow at a Compound Annual Growth Rate (CAGR) of +35% During Forecast Period.

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This new market report is a thorough analysis of the existing situation and the anticipated condition for Artificial Intelligence (AI) in Construction market. Investigation for gathering the content for this report is done in depth and meticulously. Present scenarios, past progress, global recognition and future prospects of market is offered in this report. Main strategies, market shares, products of the companies and investments in market is also mentioned in detail.

Procurement segment was the major contributor in the market growing at a CAGR of +130% during forecast period.
Top Companies Profiled in this Report includes, IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io(US), Aurora Computer Services(England), Autodesk (US), Building System Planning (US)

For the purpose of the study, Global Artificial Intelligence (AI) in Construction market is segmented based on various parameters. An in-depth regional classification of the market is also included herein. The factors which are impacting the market’s growth are studied in detail. The report also presents a round-up of vulnerabilities which companies operating in the market must avoid in order to enjoy sustainable growth through the course of the forecast period.

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The report study begins with a brief market history and then gives a comprehensive market overview. The report talks about the market dynamics – the trends that are shaping the Global Artificial Intelligence (AI) in Construction market. A detailed analysis of the key market drivers and restraints are presented. In addition to this, an in-depth analysis of the challenges, threats the market faces are covered in this study. A detailed evaluation of the key trends that are shaping these regional markets is mentioned in the research study. Region-wise market size, revenue share, volume share, forecasts are covered in the report. Furthermore, the top revenue-generating companies dominating these regional markets are described in the report.

The report provides insights on the following pointers:
- Market Penetration: Comprehensive information on the product portfolios of the top players in the Artificial Intelligence (AI) in Construction market.
- Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market
- Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market
- Market Development: Comprehensive information about emerging markets. This report analyzes the market for various protein assay products across geographies
- Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Artificial Intelligence (AI) in Construction market

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Table of Contents
Global Artificial Intelligence (AI) in Construction Market Research Report
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
Chapter 12 Global Artificial Intelligence (AI) in Construction Market Forecast

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