AI in Oil and Gas Market 2017 Global Analysis, Growth, Trends and Opportunities Research Report Forecasting to 2022

PUNE, MAHARASHTRA, INDIA, December 28, 2017 /EINPresswire.com/ -- Summary

WiseGuyReports.com adds “AI in Oil and Gas Market 2017 Global Analysis, Growth, Trends and Opportunities Research Report Forecasting to 2022” reports to its database.

This report provides in depth study of “AI in Oil and Gas market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The AI in Oil and Gas Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.

This report studies the global AI in Oil and Gas market, analyzes and researches the AI in Oil and Gas development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like
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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Market segment by Regions/Countries, this report covers
United States
EU
Japan
China
India
Southeast Asia

Market segment by Type, the product can be split into
Hardware
Software
Hybrid

Market segment by Application, AI in Oil and Gas can be split into
Upstream
Downstream
Midstream

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Table of Contents

Global AI in Oil and Gas Market Size, Status and Forecast 2022
1 Industry Overview of AI in Oil and Gas
1.1 AI in Oil and Gas Market Overview
1.1.1 AI in Oil and Gas Product Scope
1.1.2 Market Status and Outlook
1.2 Global AI in Oil and Gas Market Size and Analysis by Regions
1.2.1 United States
1.2.2 EU
1.2.3 Japan
1.2.4 China
1.2.5 India
1.2.6 Southeast Asia
1.3 AI in Oil and Gas Market by Type
1.3.1 Hardware
1.3.2 Software
1.3.3 Hybrid
1.4 AI in Oil and Gas Market by End Users/Application
1.4.1 Upstream
1.4.2 Downstream
1.4.3 Midstream

2 Global AI in Oil and Gas Competition Analysis by Players
2.1 AI in Oil and Gas Market Size (Value) by Players (2016 and 2017)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles
3.1 IBM (US)
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.1.5 Recent Developments
3.2 Intel (US)
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.2.5 Recent Developments
3.3 Accenture (Republic of Ireland)
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.3.5 Recent Developments
3.4 Google (US)
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.4.5 Recent Developments
3.5 Microsoft (US)
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.5.5 Recent Developments
3.6 Oracle (US)
3.6.1 Company Profile
3.6.2 Main Business/Business Overview
3.6.3 Products, Services and Solutions
3.6.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.6.5 Recent Developments
3.7 Numenta (US)
3.7.1 Company Profile
3.7.2 Main Business/Business Overview
3.7.3 Products, Services and Solutions
3.7.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.7.5 Recent Developments
3.8 Sentient technologies (US)
3.8.1 Company Profile
3.8.2 Main Business/Business Overview
3.8.3 Products, Services and Solutions
3.8.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.8.5 Recent Developments
3.9 Inbenta (US)
3.9.1 Company Profile
3.9.2 Main Business/Business Overview
3.9.3 Products, Services and Solutions
3.9.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.9.5 Recent Developments
3.10 General Vision (US)
3.10.1 Company Profile
3.10.2 Main Business/Business Overview
3.10.3 Products, Services and Solutions
3.10.4 AI in Oil and Gas Revenue (Value) (2012-2017)
3.10.5 Recent Developments
3.11 Cisco (US)
3.12 FuGenX Technologies (US)
3.13 Infosys (India)
3.14 Hortonworks (US)
3.15 Royal Dutch Shell (Netherlands)

4 Global AI in Oil and Gas Market Size by Type and Application (2012-2017)
4.1 Global AI in Oil and Gas Market Size by Type (2012-2017)
4.2 Global AI in Oil and Gas Market Size by Application (2012-2017)
4.3 Potential Application of AI in Oil and Gas in Future
4.4 Top Consumer/End Users of AI in Oil and Gas

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