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AI in Construction Market Market Outlook 2021: Big Things Are Happening | IBM, Microsoft, Oracle

Advance Market Analytics published a new research publication on ”Global AI in Construction Market Insights to 2026,” with 232+ pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the AI in Construction market was mainly driven by the increasing R&D spending across the world.

Some of the key players profiled in the study are:
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)

Get Free Sample Report + All Related Graphs & Charts @: https://www.advancemarketanalytics.com/sample-report/129714-global-ai-in-construction-market

Scope of the Report of 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 titled segments and sub-section of the market 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))

Market Trends:
The Growing Need for More Safety Measures at Construction Sites
Rising Requirement to Reduce Production Costs

Opportunities:
Increasing Construction Activities Due to Smart City Initiatives
Growing Need for Intelligent Business Process

Market Drivers:
Rising Demand for AI-based Platforms and Solutions and Adoption of Industry 4.0 and IIoT
Construction Labor Shortage

Challenges:
Monitoring the Highly Unstructured Jobsite Environments

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global AI in Construction Market Report, Ask Our [email protected] https://www.advancemarketanalytics.com/enquiry-before-buy/129714-global-ai-in-construction-market

Strategic Points Covered in Table of Content of Global 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 and the basic information of the AI in Construction Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities 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/Country 2015-2020
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/Company with revenue share and sales by key countries in these various regions (2021-2026)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, AI in Construction Market is a valuable source of guidance for individuals and companies.

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