Sep 17, 2020 6:21 AM ET
iCrowd Newswire – Sep 17, 2020

Global Artificial Intelligence In Construction Market Size Study, 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) And Regional Forecasts  Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021, the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, Artificial Intelligence In Construction market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Artificial Intelligence In Construction market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart). – In-depth Analysis Pre & Post COVID-19 Market Estimates

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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:

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

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

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

North America (United States, Canada & Mexico)
Asia-Pacific (Japan, China, India, Australia etc)
Europe (Germany, UK, France etc)
Central & South America (Brazil, Argentina etc)
Middle East & Africa (UAE, Saudi Arabia, South Africa etc)

In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:

  • Future changes in consumer behavior
  • High-frequency economic data
  • Mapping Out a Potential Recovery
  • Business Strategies During COVID-19
  • Near & Long Term Risk Outlook, Risk Assessment and Opportunities

Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis

  • Market size and growth rate during forecast period.
  • Key factors driving the Market.
  • Key market trends cracking up the growth of the Market.
  • Challenges to market growth.
  • Key vendors of Market.
  • Detailed SWOT analysis.
  • Opportunities and threats faces by the existing vendors in Global Market.
  • Trending factors influencing the market in the geographical regions.
  • Strategic initiatives focusing the leading vendors.
  • PEST analysis of the market in the five major regions.
  • What should be entry strategies, countermeasures to economic impact, and marketing channels?
  • What are market dynamics?
  • What are challenges and opportunities?
  • What is economic impact on market?
  • What is market chain analysis by upstream raw materials and downstream industry?
  • What is industry considering capacity, production and production value? What will be the estimation of cost and profit? What will be market share, supply and consumption? What about import and export?
  • What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
  • What were capacity, production value, cost and profit?
  • Who are the global key players in this industry? What are their company profile, their product information, and contact information?
  • Which manufacturing technology is used, what are their company profile, their product information, and contact information?

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Key Points Covered in Artificial Intelligence In Construction Market Report:

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
5.1. Market Snapshot
5.2. Market Performance – Potential Model
5.3. Key Market Players
5.4. Artificial Intelligence in Construction, Sub Segment Analysis
5.4.1. Project Management
5.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.2. Field Management
5.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.3. Risk Management
5.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.4. Schedule Management
5.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.5. Supply-Chain Management
5.4.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.6. Others
5.4.6.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.6.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6. Artificial Intelligence in Construction, by Industry
6.1. Market Snapshot
6.2. Market Performance – Potential Model
6.3. Key Market Players
6.4. Artificial Intelligence in Construction, Sub Segment Analysis
6.4.1. Residential
6.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.2. Institutional Commercial
6.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.3. Heavy Construction
6.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.4. Others
6.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7. Artificial Intelligence in Construction, by Component
7.1. Market Snapshot
7.2. Market Performance – Potential Model
7.3. Key Market Players
7.4. Artificial Intelligence in Construction, Sub Segment Analysis
7.4.1. Solutions
7.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.2. Services
7.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 8. Artificial Intelligence in Construction, by Stage of Construction
8.1. Market Snapshot
8.2. Market Performance – Potential Model
8.3. Key Market Players
8.4. Artificial Intelligence in Construction, Sub Segment Analysis
8.4.1. Pre-Construction
8.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
8.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
8.4.2. Construction Stage
8.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
8.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
8.4.3. Post-Construction
8.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
8.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 9. Artificial Intelligence in Construction, by Technology
9.1. Market Snapshot
9.2. Market Performance – Potential Model
9.3. Key Market Players
9.4. Artificial Intelligence in Construction, Sub Segment Analysis
9.4.1. Machine Learning & Deep Learning
9.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
9.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
9.4.2. Natural Language Processing
9.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
9.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 10. Artificial Intelligence in Construction, by Deployment
10.1. Market Snapshot
10.2. Market Performance – Potential Model
10.3. Key Market Players
10.4. Artificial Intelligence in Construction, Sub Segment Analysis
10.4.1. Cloud
10.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
10.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
10.4.2. On-Premises
10.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
10.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 11. Artificial Intelligence in Construction, by Regional Analysis
11.1. Artificial Intelligence in Construction, Regional Market Snapshot (2015-2025)
11.2. North America Artificial Intelligence in Construction Snapshot
11.2.1. U.S.
11.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.2.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.2.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.2.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.2.2. Canada
11.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.2.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.2.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.2.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3. Europe Artificial Intelligence in Construction  Snapshot
11.3.1. U.K.
11.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.3.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.2. Germany
11.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.3.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.3. France
11.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.3.3.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.3.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.3.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.4. Rest of Europe
11.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.3.4.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.4.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.3.4.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4. Asia Artificial Intelligence in Construction Snapshot
11.4.1. China
11.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.4.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.2. India
11.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.4.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.3. Japan
11.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.4.3.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.3.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.3.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.4. Rest of Asia Pacific
11.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.4.4.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.4.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.4.4.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.5. Latin America Artificial Intelligence in Construction Snapshot
11.5.1. Brazil
11.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.5.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.5.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.5.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.5.2. Mexico
11.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.5.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.5.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.5.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.6. Rest of The World
11.6.1. South America
11.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.6.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.6.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.6.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.6.2. Middle East and Africa
11.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
11.6.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.6.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
11.6.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 12. Competitive Intelligence
12.1. Company Market Share (Subject to Data Availability)
12.2. Top Market Strategies
12.3. Company Profiles
12.3.1. IBM
12.3.1.1. Overview
12.3.1.2. Financial (Subject to Data Availability)
12.3.1.3. Product Summary
12.3.1.4. Recent Developments
12.3.2. Microsoft
12.3.3. Oracle
12.3.4. SAP
12.3.5. Alice Technologies
12.3.6. Aurora Computer Services
12.3.7. Autodesk
12.3.8. Coins Global
12.3.9. Beyond Limits
12.3.10. Plangrid
12.3.11. Renoworks Software
12.3.12. Bentley Systems

Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.1.6. Research Assumption

Continued….

……..and view more in complete table of Contents

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