Global Artificial Intelligence in Construction Market Share, Challenges, Growth, and Forecast 2025

The main objective of this report is to define, describe, and forecast the global Artificial Intelligence in Construction market on the basis of types of applications, major sectors, deployment models, organization size, and regions. The report contains an analysis of the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges). It aims to strategically analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the market. The report also tracks and analyzes competitive developments, including partnerships, collaborations, acquisitions, new product developments, and R&D activities in the market.

This report studies the global Artificial Intelligence in Construction market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Artificial Intelligence in Construction market by companies, region, type and end-use industry.

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This report focuses on the global top players, covered
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

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India

Market segment by Type, the product can be split into
Cloud
On-premises

Market segment by Application, Artificial Intelligence in Construction can be split into
Residential
Institutional Commercials
Heavy Construction
Others

The study objectives of this report are:
To study and forecast the market size of Artificial Intelligence in Construction in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.

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In this study, the years considered to estimate the market size of Artificial Intelligence in Construction are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Key Stakeholders
Artificial Intelligence in Construction Manufacturers
Artificial Intelligence in Construction Distributors/Traders/Wholesalers
Artificial Intelligence in Construction Subcomponent Manufacturers
Industry Association
Downstream Vendors

Available Customizations
With the given market data, QYResearch offers customizations according to the company's specific needs. The following customization options are available for the report:
Regional and country-level analysis of the Artificial Intelligence in Construction market, by end-use.
Detailed analysis and profiles of additional market players.

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