Description
Wiseguyreports.Com Adds “AI in Oil and Gas -Market Demand, Growth, Opportunities and Analysis Of Top Key Player Forecast To 2023” To Its Research Database
This report offers a potent analysis of the study of the AI in Oil and Gas market for the forecast period covering the years from period 2020 to 2025. The report also integrates a wholesome view of the market factor analysis encompassing the results found from the use of Porter’s five-factor analysis and supply chain investigation. A split of the market focusing on the various is included for a better understanding of the market system. The report further uncovers the disruptions that may play a vital role in the development of the AI in Oil and Gas market.
The report begins from overview of Industry Chain structure, and describes industry environment, then analyses market size and forecast of AI in Oil and Gas by product, region and application, in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report.
Company Coverage (Sales Revenue, Price, Gross Margin, Main Products etc.):
IBM (US)
Intel (US)
Accenture (Republic of Ireland)
Google (US)
Microsoft (US)
Oracle (US)
Numenta (US)
Sentient technologies (US)
Inbenta (US)
General Vision (US)
Cisco (US)
FuGenX Technologies (US)
Infosys (India)
Hortonworks (US)
Royal Dutch Shell (Netherlands)
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Product Type Coverage (Market Size & Forecast, Major Company of Product Type etc.):
Hardware
Software
Hybrid
Application Coverage (Market Size & Forecast, Different Demand Market by Region, Main Consumer Profile etc.):
Upstream
Downstream
Midstream
Region Coverage (Regional Output, Demand & Forecast by Countries etc.):
North America
Europe
Asia-Pacific
South America
Middle East & Africa
Method of Research
The intent of offering an analysis of the market all through the forecast period, the market is examined based on an assortment of parameters that constitute the Porter’s Five Force Model. Furthermore, the data specialists utilize the SWOT based on which the report is able to present lucid details about the AI in Oil and Gas market. The extensive research of the market helps catalog and emphasize its core strong points, threats, forecasts, and limitations.
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Table of Content
1 Industry Overview
1.1 AI in Oil and Gas Industry
1.1.1 Overview
1.1.2 Development of AI in Oil and Gas
1.2 Market Segment
1.2.1 Upstream
1.2.2 Downstream
1.3 Cost Analysis
2 Industry Environment
2.1 Policy
2.2 Economics
2.3 Sociology
2.4 Technology
3 AI in Oil and Gas Market by Type
3.1 By Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Hybrid
3.2 Market Size
3.3 Market Forecast
4 Major Companies List
4.1 IBM (US) (Company Profile, Sales Data etc.)
4.2 Intel (US) (Company Profile, Sales Data etc.)
4.3 Accenture (Republic of Ireland) (Company Profile, Sales Data etc.)
4.4 Google (US) (Company Profile, Sales Data etc.)
4.5 Microsoft (US) (Company Profile, Sales Data etc.)
4.6 Oracle (US) (Company Profile, Sales Data etc.)
4.7 Numenta (US) (Company Profile, Sales Data etc.)
4.8 Sentient technologies (US) (Company Profile, Sales Data etc.)
4.9 Inbenta (US) (Company Profile, Sales Data etc.)
4.10 General Vision (US) (Company Profile, Sales Data etc.)
4.11 Cisco (US) (Company Profile, Sales Data etc.)
4.12 FuGenX Technologies (US) (Company Profile, Sales Data etc.)
4.13 Infosys (India) (Company Profile, Sales Data etc.)
4.14 Hortonworks (US) (Company Profile, Sales Data etc.)
4.15 Royal Dutch Shell (Netherlands) (Company Profile, Sales Data etc.)
5 Market Competition
5.1 Company Competition
5.2 Regional Market by Company
6 Market Demand
6.1 Demand Situation
6.1.1 Demand in Upstream
6.1.2 Demand in Downstream
6.1.3 Demand in Midstream
6.2 Regional Demand Comparison
6.3 Demand Forecast
7 Region Operation
7.1 Regional Output
7.2 Regional Market
7.3 by Region
7.3.1 North America
7.3.1.1 Overview
7.3.1.2 by Country (U.S., Canada, Mexico)
7.3.2 Europe
7.3.2.1 Overview
7.3.2.2 by Country (Germany, U.K., France, Italy, Russia, Spain etc.)
7.3.3 Asia-Pacific
7.3.3.1 Overview
7.3.3.2 by Country (China, India, Japan, Southeast Asia etc.)
7.3.4 South America
7.3.4.1 Overview
7.3.4.2 by Country (Brazil, Argentina etc.)
7.3.5 Middle East & Africa
7.3.5.1 Overview
7.3.5.2 by Country (Saudi Arabia, South Africa etc.)
7.4 Regional Forecast
8 Marketing & Price
8.1 Price and Margin
8.1.1 Price Trends
8.1.2 Factors of Price Change
8.1.3 Manufacturers Gross Margin Analysis
8.2 Value Chain
8.3 Marketing Channel
9 Research Conclusion
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