Global Artificial Intelligence in Construction Market Size study, by Application, Industry, Component, Technology, Deployment and Forecasts 2018-2025
WiseGuyReports.com adds “Artificial Intelligence in Construction Market 2018 Global Analysis, Growth, Trends and Opportunities Research Report Forecasting 2025” reports tits database.
Pune, India – December 13, 2018 /MarketersMedia/ —
Artificial Intelligence in Construction Market:
Executive Summary
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
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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:
Project Management
Field Management
Risk Management
Schedule Management
Supply-Chain Management
Others
By Industry:
Residential
Institutional Commercial
Heavy construction
Others
By Component:
Solutions
Services
By Stage of Construction:
Pre-Construction
Construction Stage
Post-Construction
By Technology:
Machine Learning & Deep Learning
Natural Language Processing
By Deployment:
Cloud
On-Premises
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:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
Table of Contents
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
1.3.1. Artificial Intelligence in Construction, by Application, 2015-2025 (USD Billion)
1.3.2. Artificial Intelligence in Construction, by Industry, 2015-2025 (USD Billion)
1.3.3. Artificial Intelligence in Construction, by Component, 2015-2025 (USD Billion)
1.3.4. Artificial Intelligence in Construction, by Stage of construction, 2015-2025 (USD Billion)
1.3.5. Artificial Intelligence in Construction, by Technology, 2015-2025 (USD Billion)
1.3.6. Artificial Intelligence in Construction, by Deployment, 2015-2025 (USD Billion)
1.3.7. Artificial Intelligence in Construction, by Region, 2015-2025 (USD Billion)
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Artificial Intelligence in Construction Dynamics
3.1. See Saw Analysis
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Artificial Intelligence in Construction Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Buyers
4.1.2. Bargaining Power of Suppliers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.2. PEST Analysis
4.2.1. Political Scenario
4.2.2. Economic Scenario
4.2.3. Social Scenario
4.2.4. Technological Scenario
4.3. Value Chain Analysis
4.3.1. Supplier
4.3.2. Manufacturers/Service Provider
4.3.3. Distributors
4.3.4. End-Users
4.4. Key Buying Criteria
4.5. Regulatory Framework
4.6. Cost Structure Analysis
4.6.1. Raw Material Cost Analysis
4.6.2. Manufacturing Cost Analysis
4.6.3. Labour Cost Analysis
4.7. Investment Vs Adoption Scenario
4.8. Analyst Recommendation & Conclusion
Chapter 5. Artificial Intelligence in Construction, by Application
Continuous…
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