Artificial Intelligence in Oil and Gas Market – Global Industry Analysis and Forecast (2017-2026) _ by Function (Quality Control, Predictive Maintenance and Others), by Type (Hardware, Software and Services), by Application and by Geography

Artificial Intelligence in Oil and Gas Market – Global Industry Analysis and Forecast (2017-2026) _ by Function (Quality Control, Predictive Maintenance and Others), by Type (Hardware, Software and Services), by Application and by Geography

Market Scenario

Artificial Intelligence in Oil and Gas Market valued USD 1.63 Billion in 2017 and expected to reach USD 5.24 Billion by 2026, at a CAGR of 15.72%. Artificial Intelligence in Oil and Gas Market Artificial intelligence has expanded its application in the oil & gas sector during the last few years. Exploration and availability of oil remain areas of concern and continuous development which has led to the application of artificial intelligence in the oil & gas sector. Use of virtual assistants or intelligent for excavation, drilling and analyzing purpose are a few examples of how artificial intelligence is applied in oil & gas sector. Artificial Intelligence in Oil and Gas Market Software segment is expected to hold the largest market share for artificial intelligence in the oil & gas market globally. High demand in North America for upstream oil & gas excavations have been a major factor contributing to the overall growth of the market.  Preventive maintenance is massive and one of the fastest growing segments in Artificial Intelligence in the Oil & Gas market. Predictive maintenance is a costly downturn so by predicting maintenance schedules for equipment helps in the prevention of equipment failures thereby saving millions of dollars. North America, Europe and Asia Pacific (APAC) formed some of the largest markets for artificial intelligence in oil and gas market globally. Recent natural gas explorations in Mexico along with the large application of artificial systems using specific software has further helped the growth of this market in the North America region. Key Highlights:
  • Artificial Intelligence in Oil and Gas Market analysis and forecast, in terms of value.
  • Comprehensive study and analysis of market drivers, restraints, and opportunities influencing the growth of the Artificial Intelligence in Oil and Gas Market.
  • Artificial Intelligence in Oil and Gas Market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided.
  • Artificial Intelligence in Oil and Gas Market strategic analysis with respect to individual growth trends, future prospects along with a contribution of various sub-market stakeholders have been considered under the scope of the study.
  • Artificial Intelligence in Oil and Gas Market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation.
  • Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled.
  • Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Artificial Intelligence in Oil and Gas Market are also profiled.
Research Methodology: Bloomberg, Factiva and Hoovers are some of the sites that are being referred to gain insights about Artificial Intelligence in Oil and Gas Market. Experts from top manufacturing companies along with other stakeholders have been considered. This is done to validate and collect critical information for evaluating trends related to this market during the forecast period. Top-down and bottom-up approaches have been used to estimate the global and regional size of this market. Data triangulation techniques along with other comparative analysis are also used to calculate the exact size of the Artificial Intelligence in Oil and Gas Market globally.

Some of the crucial players operating in the Artificial Intelligence in Oil and Gas market are following:

  • IBM (US)
  • Intel (US)
  • Microsoft (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)
Target Audience:
  • Environmental research institutes
  • Government and research organizations
  • Technology providers
  • Institutional investors
  • National and local government organizations
  • Research organizations and consulting companies
  • Artificial Intelligence manufacturers and suppliers
  • Artificial Intelligence system providers

Scope of the Report:

This research report segments the Artificial Intelligence in Oil and Gas Market based on type, function, application and geography.

Artificial Intelligence in Oil and Gas, by Type:

  • Software
  • Hybrid
  • Hardware

Artificial Intelligence in Oil and Gas, by Function:

  • Production planning
  • Field services
  • Quality control
  • Reclamation
  • Predictive maintenance and machinery inspection
  • Material movement

Artificial Intelligence in Oil and Gas, by Application:

  • Downstream
  • Upstream
  • Midstream

Artificial Intelligence in Oil and Gas, by Geography:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • Middle East and Africa
Available Customization: Maximize Market Research offers customization of reports according to the specific requirement of our clients. Security System Integrators Market: Global Industry Analysis and Forecast (2017-2026)

Table of Contents

Global Artificial Intelligence in Oil and Gas Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Artificial Intelligence in Oil and Gas Market Size, by Market Value (US$ Bn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Artificial Intelligence in Oil and Gas Market Analysis and Forecast 6.1. Global Artificial Intelligence in Oil and Gas Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Artificial Intelligence in Oil and Gas Market Analysis and Forecast, by Type 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Type 7.4. Global Artificial Intelligence in Oil and Gas Market Size (US$ Bn) Forecast, by Type 7.5. Global Artificial Intelligence in Oil and Gas Market Analysis, by Type 7.6. Global Artificial Intelligence in Oil and Gas Market Attractiveness Analysis, by Type 8. Global Artificial Intelligence in Oil and Gas Market Analysis and Forecast, by Application 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Application 8.4. Global Artificial Intelligence in Oil and Gas Market Size (US$ Bn) Forecast, by Application 8.5. Global Artificial Intelligence in Oil and Gas Market Analysis, by Application 8.6. Global Artificial Intelligence in Oil and Gas Market Attractiveness Analysis, by Application 9. Global Artificial Intelligence in Oil and Gas Market Analysis and Forecast, by Product 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Product 9.4. Global Artificial Intelligence in Oil and Gas Market Size (US$ Bn) Forecast, by Product 9.5. Global Artificial Intelligence in Oil and Gas Market Analysis, by Product 9.6. Global Artificial Intelligence in Oil and Gas Market Attractiveness Analysis, by Product 10. Global Artificial Intelligence in Oil and Gas Market Analysis, by Region 10.1. Global Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Region 10.2. Global Artificial Intelligence in Oil and Gas Market Size (US$ Bn) Forecast, by Region 10.3. Global Artificial Intelligence in Oil and Gas Market Attractiveness Analysis, by Region 11. North America Artificial Intelligence in Oil and Gas Market Analysis 11.1. Key Findings 11.2. North America Artificial Intelligence in Oil and Gas Market Overview 11.3. North America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Type 11.4. North America Artificial Intelligence in Oil and Gas Market Forecast, by Type 11.4.1. Software 11.4.2. Hybrid 11.4.3. Hardware 11.5. North America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Application 11.6. North America Artificial Intelligence in Oil and Gas Market Forecast, by Application 11.6.1. Downstream 11.6.2. Upstream 11.6.3. Midstream 11.6.4. Others 11.7. North America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Product 11.8. North America Artificial Intelligence in Oil and Gas Market Forecast, by Product 11.8.1. Production planning 11.8.2. Field services 11.8.3. Quality control 11.8.4. Reclamation 11.8.5. Predictive maintenance and machinery inspection 11.8.6. Material movement 11.9. North America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Country 11.10. North America Artificial Intelligence in Oil and Gas Market Forecast, by Country 11.10.1. U.S. 11.10.2. Canada 11.11. North America Artificial Intelligence in Oil and Gas Market Analysis, by Country 11.12. U.S. Artificial Intelligence in Oil and Gas Market Forecast, by Type 11.12.1. Software 11.12.2. Hybrid 11.12.3. Hardware 11.13. U.S. Artificial Intelligence in Oil and Gas Market Forecast, by Application 11.13.1. Downstream 11.13.2. Upstream 11.13.3. Midstream 11.13.4. Others 11.14. U.S. Artificial Intelligence in Oil and Gas Market Forecast, by Product 11.14.1. Production planning 11.14.2. Field services 11.14.3. Quality control 11.14.4. Reclamation 11.14.5. Predictive maintenance and machinery inspection 11.14.6. Material movement 11.15. Canada Artificial Intelligence in Oil and Gas Market Forecast, by Type 11.15.1. Software 11.15.2. Hybrid 11.15.3. Hardware 11.16. Steel Canada Artificial Intelligence in Oil and Gas Market Forecast, by Application 11.16.1. Downstream 11.16.2. Upstream 11.16.3. Midstream 11.16.4. Others 11.17. Canada Artificial Intelligence in Oil and Gas Market Forecast, by Product 11.17.1. Production planning 11.17.2. Field services 11.17.3. Quality control 11.17.4. Reclamation 11.17.5. Predictive maintenance and machinery inspection 11.17.6. Material movement 11.18. North America Artificial Intelligence in Oil and Gas Market Attractiveness Analysis 11.18.1. By Type 11.18.2. By Application 11.18.3. By Product 11.19. PEST Analysis 11.20. Key Trends 11.21. Key Developments 12. Europe Artificial Intelligence in Oil and Gas Market Analysis 12.1. Key Findings 12.2. Europe Artificial Intelligence in Oil and Gas Market Overview 12.3. Europe Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Type 12.4. Europe Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.4.1. Software 12.4.2. Hybrid 12.4.3. Hardware 12.5. Europe Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Application 12.6. Europe Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.6.1. Downstream 12.6.2. Upstream 12.6.3. Midstream 12.6.4. Others 12.7. Europe Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Product 12.8. Europe Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.8.1. Production planning 12.8.2. Field services 12.8.3. Quality control 12.8.4. Reclamation 12.8.5. Predictive maintenance and machinery inspection 12.8.6. Material movement 12.9. Europe Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Country 12.10. Europe Artificial Intelligence in Oil and Gas Market Forecast, by Country 12.10.1. Germany 12.10.2. U.K. 12.10.3. France 12.10.4. Italy 12.10.5. Spain 12.10.6. Rest of Europe 12.11. Europe Artificial Intelligence in Oil and Gas Market Analysis, by Country 12.12. Germany Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.12.1. Software 12.12.2. Hybrid 12.12.3. Hardware 12.13. Germany Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.13.1. Downstream 12.13.2. Upstream 12.13.3. Midstream 12.13.4. Others 12.14. Germany Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.14.1. Production planning 12.14.2. Field services 12.14.3. Quality control 12.14.4. Reclamation 12.14.5. Predictive maintenance and machinery inspection 12.14.6. Material movement 12.15. U.K. Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.15.1. Software 12.15.2. Hybrid 12.15.3. Hardware 12.16. U.K. Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.16.1. Downstream 12.16.2. Upstream 12.16.3. Midstream 12.16.4. Others 12.17. U.K. Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.17.1. Production planning 12.17.2. Field services 12.17.3. Quality control 12.17.4. Reclamation 12.17.5. Predictive maintenance and machinery inspection 12.17.6. Material movement 12.18. France Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.18.1. Software 12.18.2. Hybrid 12.18.3. Hardware 12.19. France Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.19.1. Downstream 12.19.2. Upstream 12.19.3. Midstream 12.19.4. Others 12.20. France Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.20.1. Production planning 12.20.2. Field services 12.20.3. Quality control 12.20.4. Reclamation 12.20.5. Predictive maintenance and machinery inspection 12.20.6. Material movement 12.21. Italy Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.21.1. Software 12.21.2. Hybrid 12.21.3. Hardware 12.22. Italy Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.22.1. Downstream 12.22.2. Upstream 12.22.3. Midstream 12.22.4. Others 12.23. Italy Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.23.1. Production planning 12.23.2. Field services 12.23.3. Quality control 12.23.4. Reclamation 12.23.5. Predictive maintenance and machinery inspection 12.23.6. Material movement 12.24. Spain Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.24.1. Software 12.24.2. Hybrid 12.24.3. Hardware 12.25. Spain Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.25.1. Downstream 12.25.2. Upstream 12.25.3. Midstream 12.25.4. Others 12.26. Spain Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.26.1. Production planning 12.26.2. Field services 12.26.3. Quality control 12.26.4. Reclamation 12.26.5. Predictive maintenance and machinery inspection 12.26.6. Material movement 12.27. Rest of Europe Artificial Intelligence in Oil and Gas Market Forecast, by Type 12.27.1. Software 12.27.2. Hybrid 12.27.3. Hardware 12.28. Rest of Europe Artificial Intelligence in Oil and Gas Market Forecast, by Application 12.28.1. Downstream 12.28.2. Upstream 12.28.3. Midstream 12.28.4. Others 12.29. Rest Of Europe Artificial Intelligence in Oil and Gas Market Forecast, by Product 12.29.1. Production planning 12.29.2. Field services 12.29.3. Quality control 12.29.4. Reclamation 12.29.5. Predictive maintenance and machinery inspection 12.29.6. Material movement 12.30. Europe Artificial Intelligence in Oil and Gas Market Attractiveness Analysis 12.30.1. By Type 12.30.2. By Application 12.30.3. By Product 12.31. PEST Analysis 12.32. Key Trends 12.33. Key Developments 13. Asia Pacific Artificial Intelligence in Oil and Gas Market Analysis 13.1. Key Findings 13.2. Asia Pacific Artificial Intelligence in Oil and Gas Market Overview 13.3. Asia Pacific Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Type 13.4. Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Type 13.4.1. Software 13.4.2. Hybrid 13.4.3. Hardware 13.5. Asia Pacific Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Application 13.6. Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Application 13.6.1. Downstream 13.6.2. Upstream 13.6.3. Midstream 13.6.4. Others 13.7. Asia Pacific Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Product 13.8. Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Product 13.8.1. Production planning 13.8.2. Field services 13.8.3. Quality control 13.8.4. Reclamation 13.8.5. Predictive maintenance and machinery inspection 13.8.6. Material movement 13.9. Asia Pacific Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Country 13.10. Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Country 13.10.1. China 13.10.2. India 13.10.3. Japan 13.10.4. ASEAN 13.10.5. Rest of Asia Pacific 13.11. Asia Pacific Artificial Intelligence in Oil and Gas Market Analysis, by Country 13.12. China Artificial Intelligence in Oil and Gas Market Forecast, by Type 13.12.1. Software 13.12.2. Hybrid 13.12.3. Hardware 13.13. China Artificial Intelligence in Oil and Gas Market Forecast, by Application 13.13.1. Downstream 13.13.2. Upstream 13.13.3. Midstream 13.13.4. Others 13.14. China Artificial Intelligence in Oil and Gas Market Forecast, by Product 13.14.1. Production planning 13.14.2. Field services 13.14.3. Quality control 13.14.4. Reclamation 13.14.5. Predictive maintenance and machinery inspection 13.14.6. Material movement 13.15. India Artificial Intelligence in Oil and Gas Market Forecast, by Type 13.15.1. Software 13.15.2. Hybrid 13.15.3. Hardware 13.16. India Artificial Intelligence in Oil and Gas Market Forecast, by Application 13.16.1. Downstream 13.16.2. Upstream 13.16.3. Midstream 13.16.4. Others 13.17. India Artificial Intelligence in Oil and Gas Market Forecast, by Product 13.17.1. Production planning 13.17.2. Field services 13.17.3. Quality control 13.17.4. Reclamation 13.17.5. Predictive maintenance and machinery inspection 13.17.6. Material movement 13.18. Japan Artificial Intelligence in Oil and Gas Market Forecast, by Type 13.18.1. Software 13.18.2. Hybrid 13.18.3. Hardware 13.19. Japan Artificial Intelligence in Oil and Gas Market Forecast, by Application 13.19.1. Downstream 13.19.2. Upstream 13.19.3. Midstream 13.19.4. Others 13.20. Japan Artificial Intelligence in Oil and Gas Market Forecast, by Product 13.20.1. Production planning 13.20.2. Field services 13.20.3. Quality control 13.20.4. Reclamation 13.20.5. Predictive maintenance and machinery inspection 13.20.6. Material movement 13.21. ASEAN Artificial Intelligence in Oil and Gas Market Forecast, by Type 13.21.1. Software 13.21.2. Hybrid 13.21.3. Hardware 13.22. ASEAN Artificial Intelligence in Oil and Gas Market Forecast, by Application 13.22.1. Downstream 13.22.2. Upstream 13.22.3. Midstream 13.22.4. Others 13.23. ASEAN Artificial Intelligence in Oil and Gas Market Forecast, by Product 13.23.1. Production planning 13.23.2. Field services 13.23.3. Quality control 13.23.4. Reclamation 13.23.5. Predictive maintenance and machinery inspection 13.23.6. Material movement 13.24. Rest of Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Type 13.24.1. Software 13.24.2. Hybrid 13.24.3. Hardware 13.25. Rest of Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Application 13.25.1. Downstream 13.25.2. Upstream 13.25.3. Midstream 13.25.4. Others 13.26. Rest of Asia Pacific Artificial Intelligence in Oil and Gas Market Forecast, by Product 13.26.1. Production planning 13.26.2. Field services 13.26.3. Quality control 13.26.4. Reclamation 13.26.5. Predictive maintenance and machinery inspection 13.26.6. Material movement 13.27. Asia Pacific Artificial Intelligence in Oil and Gas Market Attractiveness Analysis 13.27.1. By Type 13.27.2. By Application 13.27.3. By Product 13.28. PEST Analysis 13.29. Key Trends 13.30. Key Developments 14. Middle East & Africa Artificial Intelligence in Oil and Gas Market Analysis 14.1. Key Findings 14.2. Middle East & Africa Artificial Intelligence in Oil and Gas Market Overview 14.3. Middle East & Africa Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Type 14.4. Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Type 14.4.1. Software 14.4.2. Hybrid 14.4.3. Hardware 14.5. Middle East & Africa Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Application 14.6. Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Application 14.6.1. Downstream 14.6.2. Upstream 14.6.3. Midstream 14.6.4. Others 14.7. Middle East & Africa Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Product 14.8. Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Product 14.8.1. Production planning 14.8.2. Field services 14.8.3. Quality control 14.8.4. Reclamation 14.8.5. Predictive maintenance and machinery inspection 14.8.6. Material movement 14.9. Middle East & Africa Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Country 14.10. Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Country 14.10.1. GCC 14.10.2. South Africa 14.10.3. Rest of Middle East & Africa 14.11. Middle East & Africa Artificial Intelligence in Oil and Gas Market Analysis, by Country 14.12. GCC Artificial Intelligence in Oil and Gas Market Forecast, by Type 14.12.1. Software 14.12.2. Hybrid 14.12.3. Hardware 14.13. GCC Artificial Intelligence in Oil and Gas Market Forecast, by Application 14.13.1. Downstream 14.13.2. Upstream 14.13.3. Midstream 14.13.4. Others 14.14. GCC Artificial Intelligence in Oil and Gas Market Forecast, by Product 14.14.1. Production planning 14.14.2. Field services 14.14.3. Quality control 14.14.4. Reclamation 14.14.5. Predictive maintenance and machinery inspection 14.14.6. Material movement 14.15. South Africa Artificial Intelligence in Oil and Gas Market Forecast, by Type 14.15.1. Software 14.15.2. Hybrid 14.15.3. Hardware 14.16. South Africa Artificial Intelligence in Oil and Gas Market Forecast, by Application 14.16.1. Downstream 14.16.2. Upstream 14.16.3. Midstream 14.16.4. Others 14.17. South Africa Artificial Intelligence in Oil and Gas Market Forecast, by Product 14.17.1. Production planning 14.17.2. Field services 14.17.3. Quality control 14.17.4. Reclamation 14.17.5. Predictive maintenance and machinery inspection 14.17.6. Material movement 14.18. Rest of Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Type 14.18.1. Software 14.18.2. Hybrid 14.18.3. Hardware 14.19. Rest of Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Application 14.19.1. Downstream 14.19.2. Upstream 14.19.3. Midstream 14.19.4. Others 14.20. Rest of Middle East & Africa Artificial Intelligence in Oil and Gas Market Forecast, by Product 14.20.1. Production planning 14.20.2. Field services 14.20.3. Quality control 14.20.4. Reclamation 14.20.5. Predictive maintenance and machinery inspection 14.20.6. Material movement 14.21. Middle East & Africa Artificial Intelligence in Oil and Gas Market Attractiveness Analysis 14.21.1. By Type 14.21.2. By Application 14.21.3. By Product 14.22. PEST Analysis 14.23. Key Trends 14.24. Key Developments 15. South America Artificial Intelligence in Oil and Gas Market Analysis 15.1. Key Findings 15.2. South America Artificial Intelligence in Oil and Gas Market Overview 15.3. South America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Type 15.4. South America Artificial Intelligence in Oil and Gas Market Forecast, by Type 15.4.1. Software 15.4.2. Hybrid 15.4.3. Hardware 15.5. South America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Application 15.6. South America Artificial Intelligence in Oil and Gas Market Forecast, by Application 15.6.1. Downstream 15.6.2. Upstream 15.6.3. Midstream 15.6.4. Others 15.7. South America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Product 15.8. South America Artificial Intelligence in Oil and Gas Market Forecast, by Product 15.8.1. Production planning 15.8.2. Field services 15.8.3. Quality control 15.8.4. Reclamation 15.8.5. Predictive maintenance and machinery inspection 15.8.6. Material movement 15.9. South America Artificial Intelligence in Oil and Gas Market Value Share Analysis, by Country 15.10. South America Artificial Intelligence in Oil and Gas Market Forecast, by Country 15.10.1. Brazil 15.10.2. Mexico 15.10.3. Rest of South America 15.11. South America Artificial Intelligence in Oil and Gas Market Analysis, by Country 15.12. Brazil Artificial Intelligence in Oil and Gas Market Forecast, by Type 15.12.1. Software 15.12.2. Hybrid 15.12.3. Hardware 15.13. Brazil Artificial Intelligence in Oil and Gas Market Forecast, by Application 15.13.1. Downstream 15.13.2. Upstream 15.13.3. Midstream 15.13.4. Others 15.14. Brazil Artificial Intelligence in Oil and Gas Market Forecast, by Product 15.14.1. Production planning 15.14.2. Field services 15.14.3. Quality control 15.14.4. Reclamation 15.14.5. Predictive maintenance and machinery inspection 15.14.6. Material movement 15.15. Mexico Artificial Intelligence in Oil and Gas Market Forecast, by Type 15.15.1. Software 15.15.2. Hybrid 15.15.3. Hardware 15.16. Mexico Artificial Intelligence in Oil and Gas Market Forecast, by Application 15.16.1. Downstream 15.16.2. Upstream 15.16.3. Midstream 15.16.4. Others 15.17. Mexico Artificial Intelligence in Oil and Gas Market Forecast, by Product 15.17.1. Production planning 15.17.2. Field services 15.17.3. Quality control 15.17.4. Reclamation 15.17.5. Predictive maintenance and machinery inspection 15.17.6. Material movement 15.18. Rest of South America Artificial Intelligence in Oil and Gas Market Forecast, by Type 15.18.1. Software 15.18.2. Hybrid 15.18.3. Hardware 15.19. Rest of South America Artificial Intelligence in Oil and Gas Market Forecast, by Application 15.19.1. Downstream 15.19.2. Upstream 15.19.3. Midstream 15.19.4. Others 15.20. Rest of South America Artificial Intelligence in Oil and Gas Market Forecast, by Product 15.20.1. Production planning 15.20.2. Field services 15.20.3. Quality control 15.20.4. Reclamation 15.20.5. Predictive maintenance and machinery inspection 15.20.6. Material movement 15.21. South America Artificial Intelligence in Oil and Gas Market Attractiveness Analysis 15.21.1. By Type 15.21.2. By Application 15.21.3. By Product 15.22. PEST Analysis 15.23. Key Trends 15.24. Key Developments 16. Company Profiles 16.1. Market Share Analysis, by Company 16.2. Competition Matrix 16.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 16.2.2. New Function Launches and Function Enhancements 16.2.3. Market Consolidation 16.2.3.1. M&A by Regions, Investment and Applications 16.2.3.2. M&A Key Players, Forward Integration and Backward Integration 16.3. Company Profiles: Key Players 16.3.1. IBM 16.3.1.1. Company Overview 16.3.1.2. Financial Overview 16.3.1.3. Portfolio 16.3.1.4. Business Strategy 16.3.1.5. Recent Developments 16.3.1.6. Developing Footprint 16.3.2. Intel 16.3.3. Microsoft 16.3.4. Accenture 16.3.5. Google 16.3.6. Microsoft 16.3.7. Oracle 16.3.8. Numenta 16.3.9. Sentient technologies 16.3.10. Inbenta 16.3.11. General Vision 16.3.12. Cisco 16.3.13. FuGenX Technologies 16.3.14. Infosys 16.3.15. Hortonworks 16.3.16. Royal Dutch Shell 17. Primary Key Insights

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Report ID368
Category Information Technology & Telecommunication
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Published DateDec 2017
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