AI in construction Industry 2020 Growth analysis, key Players, business overview, market insights, trends and forecast 2025
The global AI in construction market was valued at US$ ~449.7 million in the year 2018 and is expected to reach US$ ~2,107.8 million by the year 2023, growing at a CAGR of ~36.2%. With the increasing need for safety & security in the construction sector and the need for reduced production costs is driving the global AI in construction market.
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The increasing adoption of robots, autonomous vehicles, and drones in the construction sector is also accentuating the growth of AI in construction market. Organizations are embracing these technologies for the purpose of surveying, aerial imaging, and mapping at construction sites for smoothening the construction operations.
The growing importance of technology-based solutions has stimulated the construction sector to gather and share data in real time. Managing a huge chunk of data can create huge overhead costs, which can affect the profitability of an organization. Sometimes, the gathered data are irrelevant to the business process & profitability goals. Artificial intelligence (AI) plays a major role in limiting the amount of irrelevant data in these industry verticals.
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Key Players covered in AI in construction Market report are IBM (US), Alice Technologies (US), Aurora Computer Services (UK), Autodesk (US), Building System Planning (US), eSUB (US), Microsoft (US), Oracle (US), SAP (Germany), Smartvid.io(US)
AI in construction Market is analyzed by types like Fire Fighting Vehicle, Elevating AI in construction, Special AI in construction. AI in construction Market is also analyzed by Application like project management, risk management, supply chain management, schedule management, field management. By end user the market is divided in to residential, commercial institute, heavy construction, other
Points Covered of this report are: To share detailed information about the key factors such as manufacturers, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.
To Study and analyze, complete profile of the companies with capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments included within the report.
The historical data from 2014 to 2019 and forecast data from 2020 to 2025.
To study and analyze the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included.
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Major Points from Table of Contents
Chapter 1 Preface
Chapter 2 Executive Summary
Chapter 3 Market Dynamics
Chapter 4 Global AI in construction Market, by Type of Analytics
Chapter 5 Global AI in construction Market, by Component Type
Chapter 6 Global AI in construction Market, by Delivery Mode
Chapter 7 Global AI in construction Market, by Application
Chapter 8 Global AI in construction Market, by End-user
Chapter 9 Global AI in construction Market, by Region
Chapter 10 Competitive Intelligence
Chapter 11 Company Profiles
Tables and Figures
FIG. 1 Global AI in construction Market: Research Methodology
FIG. 2 Market Segmentation Scope
FIG. 3 Global AI in construction Market, 2016-2023, (US$ Mn)
TABLE 1 Market Snapshot: Global AI in construction Market Value
TABLE 2 Global AI in construction Market, by Technology, 2016-2023 (US$ Mn)
TABLE 3 Global AI in construction Market, by Stage, 2016-2023 (US$ Mn)
TABLE 4 Global AI in construction Market, by Component, 2016-2023 (US$ Mn)
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