Artificial Intelligence (AI) In Construction Market Detailed Analysis of Current Industry Figures With Forecasts Growth by 2026 | Autodesk, IBM, Microsoft, Oracle, SAP

Latest Industry Research Report On global Artificial Intelligence (AI) In Construction Market Research Report 2020 in-depth analysis of the market state and also the competitive landscape globally.

The Artificial Intelligence (AI) In Construction market report provides information regarding market size, share, trends, growth, cost structure, global market competition landscape, market drivers, challenges and opportunity, capacity, revenue, and forecast 2026. This report also includes the overall and comprehensive study of the Artificial Intelligence (AI) In Construction market with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the Artificial Intelligence (AI) In Construction industry and provides data for making strategies to increase market growth and effectiveness.

This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities, and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.

Scope of the report:

The report evaluates the growth rate and the Market value based on Market dynamics, growth inducing factors. Complete knowledge is based on the latest industry news, opportunities, and trends. The report contains a comprehensive Market analysis and vendor landscape in addition to a SWOT analysis of the key vendors.

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The Following Top Key Players in the Artificial Intelligence (AI) In Construction Market: Autodesk, IBM, Microsoft, Oracle, SAP, and others.

Industry News:

The Rise of AI and Machine Learning in Construction

The field of construction is well placed to benefit from the advent of machine learning and artificial intelligence (AI). As part of the BIM 360 Project IQ Team at Autodesk, I’ve had the privilege to participate in Autodesk’s foray into machine learning for construction.

This article summarizes developments in this space, and covers some ways in which one can prepare to maximize value from this technology, including a broad survey of some of the applications of AI and machine learning in construction, and the potential impact. These processes are making changes across various areas, including risk management, schedule management, subcontractor management, construction site environment monitoring, and safety, to name a few.

This report segments the Artificial Intelligence (AI) In Construction market on the basis of Types are:

Hardware
Software
Services
Others

On the basis of Application, the Artificial Intelligence (AI) In Construction market is segmented into:

Network security
Network optimization
Self-diagnostics
Others

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Regional outlook: The regions covered in the reports of the Artificial Intelligence (AI) In Construction market are

North America (United States, Canada, and Mexico), Asia-Pacific (China, India, Japan, South Korea, Australia, Indonesia, Malaysia, Philippines, Thailand, Vietnam), Europe (Germany, France, UK, Italy, Russia, Rest of Europe), Central & South America (Brazil, Rest of South America), and Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa, Other).

Highlights the following key factors:

- Business description: – A detailed description of the company’s operations and business divisions.
- Corporate strategy: – Analyst’s summarization of the company’s business strategy.
- SWOT Analysis: – A detailed analysis of the company’s strengths, weaknesses, opportunities, and threats.
- Company history: – Progression of key events associated with the company.
- Major products and services: – A list of major products, services, and brands of the company.
- Key competitors: – A list of key competitors to the company.
- Important locations and subsidiaries: – A list and contact details of key locations and subsidiaries of the company.
- Detailed financial ratios for the past five years: – The latest financial ratios derived from the annual financial statements published by the company with 5 years history.

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Note - All the reports that we list have been tracking the impact of COVID-19. Both upstream and downstream of the entire supply chain has been accounted for while doing this. Also, where possible, we will provide an additional COVID-19 update supplement/report to the report in Q3, please check for with the sales team.

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