AI in Construction Comprehensive Study by Application (Project management, Field management, Risk management, Schedule management, Supply chain management, Others), Organization Size (Residential, Institutional commercials, Heavy construction, Others), Deployment Type (Cloud, On-premises), Technology (Machine learning and deep learning, Natural Language Processing (NLP)), Industry Type (Small and Medium-sized Enterprises (SMEs), Large enterprises), Stage (Pre-construction, Construction stage, Post-construction), Component (Solutions (Design and planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance, Others (root cause analysis and customer/buyer analysis)), Services (Integration and deployment, training and consulting, Support and maintenance)) Players and Region - Global Market Outlook to 2026
Edison, NJ -- (SBWIRE) -- 07/20/2021 -- A new business intelligence report released by Advance Market Analytics with title Global AI in Construction Market Insights, forecast to 2027. This report provides a detailed overview of key factors in the Global AI in Construction Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development. A thorough analysis of these factors has been conducted to determine future growth prospects in the global market.
Major Key Players in This Report Include,
IBM (United States), Microsoft (United States), Oracle (United States), SAP (Germany), Alice Technologies (United States), eSUB (United States), Smartvid.io (United States), Aurora Computer Services(England), Autodesk (United States), Building System Planning (United States)
Free Sample Report + All Related Graphs & Charts @ https://www.advancemarketanalytics.com/sample-report/129714-global-ai-in-construction-market
Note: The report also covers a detailed chapter of the analysis on COVID-19 impact on this market at global and regional level in our final reports.
The report is a significant source of information for investors, shareholders, industry planners, established and existing market players who are striving to improve their footprint in the current AI in Construction market landscape.
What is AI in Construction?
The artificial intelligence has been very beneficial to the construction industry, especially in pre-construction phases, like planning and designing, enabling advanced capabilities for building information modeling and generative design. Planning and design phase is one of the most crucial phases in any construction project. A lot of soft costs are associated with research, architecture, and design, as making any changes in the construction phase would lead to budgetary constraints.
On 13th September 2018, Fluor Corporation and IBM (NYSE: IBM) announced today the use of artificial intelligence-based systems to predict, monitor and measure the status of engineering, procurement, fabrication and construction (EPC) megaprojects from inception to completion
The AI in Construction Market segments and Market Data Break Down are illuminated below:
by Application (Project management, Field management, Risk management, Schedule management, Supply chain management, Others), Organization Size (Residential, Institutional commercials, Heavy construction, Others), Deployment Type (Cloud, On-premises), Technology (Machine learning and deep learning, Natural Language Processing (NLP)), Industry Type (Small and Medium-sized Enterprises (SMEs), Large enterprises), Stage (Pre-construction, Construction stage, Post-construction), Component (Solutions (Design and planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance, Others (root cause analysis and customer/buyer analysis)), Services (Integration and deployment, training and consulting, Support and maintenance))
- The Growing Need for More Safety Measures at Construction Sites
- Rising Requirement to Reduce Production Costs
- Rising Demand for AI-based Platforms and Solutions and Adoption of Industry 4.0 and IIoT
- Construction Labor Shortage
- Monitoring the Highly Unstructured Jobsite Environments
Enquire for customization in Report @: https://www.advancemarketanalytics.com/enquiry-before-buy/129714-global-ai-in-construction-market
Global AI in Construction the manufacturing cost structure analysis of the market is based on the core chain structure, engineering process, raw materials and suppliers. The manufacturing plant has been developed for market needs and new technology development. In addition, Global AI in Construction Market attractiveness according to country, end-user, and other measures is also provided, permitting the reader to gauge the most talented or commercial areas for investments. The report also provides a detailed synopsis of the competitive scenario, wherein complete business profiles of some of the prime companies in the market are included.
- Comprehensive overview of parent market& substitute market
- Changing market dynamics in the industry (COVID & Economic Impact Analysis)
- In-depth market segmentation (Trends, Growth with Historical & Forecast Analysis)
- Recent industry trends and development activity
- Competitive landscape (Heat Map Analysis for Emerging Players & Market Share Analysis for Major Players along with detailed Profiles)
Geographically Global AI in Construction markets can be classified as North America, Europe, Asia Pacific (APAC), Middle East and Africa and Latin America. North America has gained a leading position in the global market and is expected to remain in place for years to come. The growing demand for Global AI in Construction markets will drive growth in the North American market over the next few years.
In the last section of the report, the companies responsible for increasing the sales in the Global AI in Construction Market have been presented. These companies have been analyzed in terms of their manufacturing base, basic information, and competitors. In addition, the application and product type introduced by each of these companies also form a key part of this section of the report. The recent enhancements that took place in the global market and their influence on the future growth of the market have also been presented through this study.
Get More Information about AI in Construction Market: https://www.advancemarketanalytics.com/reports/129714-global-ai-in-construction-market
Strategic Points Covered in Table of Content of AI in Construction Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Construction market
Chapter 2: Exclusive Summary – the basic information of the AI in Construction Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the AI in Construction
Chapter 4: Presenting the AI in Construction Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region
Chapter 6: Evaluating the leading manufacturers of the AI in Construction market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Note: If you have any special requirement, please let us know and we will offer you the report as you want.