Artificial Intelligence in Construction Market Detail Analysis Focusing On Application, Types And Regional Outlook
An Up to Date Report on “Artificial Intelligence in Construction Market size | Industry Segment by Applications, by Type, Regional Outlook, Market Demand, Latest Trends, Artificial Intelligence in Construction Industry Share & Revenue by Manufacturers, Company Profiles, Growth Forecasts – 2025.” Analyzes current market size and upcoming 5 years growth of this industry.
Report Covers Global Industry Analysis, Size, Share, CAGR, Trends, Forecast And Business Opportunity.
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Global Artificial Intelligence in Construction Market to reach USD XX billion by 2025.
Global Artificial Intelligence in Construction Market valued approximately USD XX billion in 2017 is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2018-2025. The major driving factor of global artificial intelligence in construction market are growing demand across end user industries, technological advancements have encouraged the organizations especially construction and engineering sector and the increasing digital data. In addition, a rapid surge in the growth of the digital data has been witnessed owing to the growing adoption of Building Information Systems (BIM), security sensors, drones, and machine telematics. This is encouraging construction companies to adopt advanced analytics solutions to take the full advantage of the huge amount of digital data and extract actionable insights. The major restraining factor of global artificial intelligence in construction market are unstructured construction environment and lack of skilled workforce. Moreover, adoption of the drones, robots, and autonomous vehicles in the construction sector is also backing the growth of the artificial intelligence in construction market. Artificial Intelligence in Construction Management is the core of artificial intelligence. With data collected at various cycles of the construction project across many different projects in construction firms, this provides valuable learning information for artificial intelligence applications. Artificial intelligence serves as a helpful tool for every phase of the construction project. The major key benefits of artificial intelligence are By using Construction Language Analysis, from tools such as Autodesk BIM 360 software, algorithms are able to understand complex data and predict potential problems, by using AI technology in the construction industry and scanning software, they can track the body movement of bricklayers to analyses their form in order to reduce the amount of injuries on-site and artificial intelligence in construction can be used to measure a project’s parameters which is then fed into a computer which understands the data and requirements of their physical location.
The regional analysis of Global Artificial Intelligence in Construction Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North-America has accounted the dominant share in the global Artificial Intelligence in Construction market due to high investments by construction companies. Additionally, Asia Pacific is also expected to register a considerable growth rate in the market over the forecasted period 2018-2025. China, Japan, South Korea, and India are the leading countries in this region. The market growth is due to increase in demand by the economies to develop smart city projects which require better amenities that boost the real estate sector.
The leading market player are:
IBM
Microsoft
Oracle
SAP
Alice Technologies
Aurora Computer Services
Autodesk
Coins Global
Beyond Limits
Plangrid
Renoworks Software
Bentley Systems
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Application:
oProject Management
oField Management
oRisk Management
oSchedule Management
oSupply-Chain Management
oOthers
By Industry:
oResidential
oInstitutional Commercial
oHeavy construction
oOthers
By Component:
oSolutions
oServices
By Stage of Construction:
oPre-Construction
oConstruction Stage
oPost-Construction
By Technology:
oMachine Learning & Deep Learning
oNatural Language Processing
By Deployment:
oCloud
oOn-Premises
By Regions:
oNorth America
oU.S.
oCanada
oEurope
oUK
oGermany
oAsia Pacific
oChina
oIndia
oJapan
oLatin America
oBrazil
oMexico
oRest of the World
Furthermore, years considered for the study are as follows:
Historical year“ 2015, 2016
Base year“ 2017
Forecast period“ 2018 to 2025
Target Audience of the Global Artificial Intelligence in Construction Market in Market Study:
oKey Consulting Companies & Advisors
oLarge, medium-sized, and small enterprises
oVenture capitalists
oValue-Added Resellers (VARs)
oThird-party knowledge providers
oInvestment bankers
oInvestors
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Table of Content:
Market Overview: The report begins with this section where product overview and highlights of product and application segments of the global Global Artificial Intelligence in Construction Market are provided. Highlights of the segmentation study include price, revenue, sales, sales growth rate, and market share by product.
Competition by Company: Here, the competition in the Worldwide Global Artificial Intelligence in Construction Market is analyzed, By price, revenue, sales, and market share by company, market rate, competitive situations Landscape, and latest trends, merger, expansion, acquisition, and market shares of top companies.
Company Profiles and Sales Data: As the name suggests, this section gives the sales data of key players of the global Global Artificial Intelligence in Construction Market as well as some useful information on their business. It talks about the gross margin, price, revenue, products, and their specifications, type, applications, competitors, manufacturing base, and the main business of key players operating in the global Global Artificial Intelligence in Construction Market.
Market Status and Outlook by Region: In this section, the report discusses about gross margin, sales, revenue, production, market share, CAGR, and market size by region. Here, the global Global Artificial Intelligence in Construction Market is deeply analyzed on the basis of regions and countries such as North America, Europe, China, India, Japan, and the MEA.
Application or End User: This section of the research study shows how different end-user/application segments contribute to the global Global Artificial Intelligence in Construction Market.
Market Forecast: Here, the report offers a complete forecast of the global Global Artificial Intelligence in Construction Market by product, application, and region. It also offers global sales and revenue forecast for all years of the forecast period.
Research Findings and Conclusion: This is one of the last sections of the report where the findings of the analysts and the conclusion of the research study are provided.
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