Table of Content

1 Market Introduction
1.1 Market Definition
1.2 Research Scope and Segmentation
1.3 Stakeholders
1.4 List of Abbreviations


2 Executive Summary


3 Research Methodology
3.1 Identification of Data
3.2 Data Analysis
3.3 Verification
3.4 Data Sources
3.5 Assumptions


4 Market Dynamics
4.1 Market Drivers
4.2 Market Restraints
4.3 Market Opportunities
4.4 Market Challenges


5 Porter’s Five Force Analysis
5.1 Bargaining Power of Suppliers
5.2 Bargaining Power of Buyers
5.3 Threat of New Entrants
5.4 Threat of Substitutes
5.5 Competitive Rivalry in the Market


6 Global AI in Oil and Gas Market by, Type
6.1 Overview
6.2 Hardware
6.3 Services
6.4 Software


7 Global AI in Oil and Gas Market by, Function
7.1 Overview
7.2 Field Services
7.3 Material Movement
7.4 Predictive Maintenance and Machinery Inspection
7.5 Production Planning
7.6 Quality Control
7.7 Reclamation


8 Global AI in Oil and Gas Market by, Application
8.1 Overview
8.2 Downstream
8.3 Midstream
8.4 Upstream


9 Global AI in Oil and Gas Market by, Geography
9.1 Overview
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 France
9.3.3 UK
9.3.4 Italy
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 South Korea
9.4.5 Australia
9.4.6 New Zealand
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Brazil
9.5.2 Argentina
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 UAE
9.6.2 Saudi Arabia
9.6.3 Qatar
9.6.4 Iran
9.6.5 South Africa
9.6.6 Rest of Middle East & Africa


10 Key Developments


11 Company Profiling
11.1 IBM
11.1.1 Business Overview
11.1.2 Product/Service Offering
11.1.3 Financial Overview
11.1.4 SWOT Analysis
11.1.5 Key Activities
11.2 Intel
11.3 Microsoft
11.4 Accenture
11.5 Google
11.6 Microsoft
11.7 Oracle
11.8 Numenta
11.9 Sentient technologies
11.10 Inbenta
11.11 General Vision
11.12 Cisco