Global AI in Oil and Gas Market

AI in Oil and Gas Comprehensive Study by Type (Hardware, Software, Services), Application (Upstream, Midstream, Downstream), Function Type (Material Handling, Production Planning, Field Services, Quality Control, Others), Service Type (Professional, Managed) Players and Region - Global Market Outlook to 2030

AI in Oil and Gas Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 11.09%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About AI in Oil and Gas
Artificial intelligence is projected to be a key influencing factor for the growth of the oil and gas sector in the upcoming years. The technology revolution in oil and gas industry is taking off because of improvising safety and productivity that can be achieved by automation. With increasing challenges faced by the oil and gas industry in the past for exploration and exploitation of hydrocarbons, a cross-disciplinary approach is being rendered which requires some critical processes to be semi-automated and some to be fully automated. It can also reduce the risk to human workers. According to Motorola Solutions, the demand for the AI in the global oil sector is expected to increase by about 33%, by 2035.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Billion)
CAGR11.09%


"The next generation of competitive advantage in the energy marketplace will go to forward-thinking players who invest a lot on digital IoT and artificial intelligence capabilities like Cerebra from Flutura” Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global AI in Oil and Gas market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

IBM (United States), Intel (United States), Accenture (Republic of Ireland), Google (United States), Microsoft (United States), Oracle (United States), Sentient technologies (United States), Inbenta (United States), General Vision (United States) and Cisco (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are FuGenX Technologies (United States), Infosys (India), Hortonworks (United States) and Royal Dutch Shell (Netherlands).

Segmentation Overview
AMA Research has segmented the market of Global AI in Oil and Gas market by Type (Hardware, Software and Services), Application (Upstream, Midstream and Downstream) and Region.



On the basis of geography, the market of AI in Oil and Gas has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Function Type, the sub-segment i.e. Material Handling will boost the AI in Oil and Gas market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Service Type, the sub-segment i.e. Professional will boost the AI in Oil and Gas market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Increasing Investment in Start-Ups for AI Implementation in Oil & Gas Industry in Various Regions Including Middle East, Africa and Others

Market Growth Drivers:
The Surging Incidents of Oil & Gas Leakage from Storage Tanks and Pipelines at Production Facilities and Increasing Safety Concerns Among the Workforce, Especially the Maintenance of Aging Pipeline Infrastructure

Challenges:
Increasing Cyber Attack and Data Breaches Across the World

Restraints:
Ambiguous Regulatory Guidelines for AI in the Oil & Gas Market

Opportunities:
The Rising Adoption of Smart Sensing Technology as a Part of Industrial IoT

Market Leaders and their expansionary development strategies
In January 2024, SLB entered an investment and technology partnership with Geminus AI, marking a significant leap in the realm of artificial intelligence (AI) applications for oil and gas operations.Per the terms of the alliance, SLB, a prominent player in the energy sector, gains exclusive rights to leverage Geminus AI’s innovative model builder. The unique feature of the Geminus model builder is that it combines physics-based methods with process data to create accurate AI models.
In June 2020, Hortonworks Inc. launched Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features, including containerization for faster and easier deployment of applications and increased developer productivity. The new version of HDP enables customers to quickly, reliably, and securely obtain value from their data at scale, to drive business transformation
The US Department of Transportation’s Pipeline and Hazardous Materials Safety Administration (PHMSA) has implemented Liquids Mega Rule in which it is important to install leak detection systems in all dangerous liquid pipelines.

Analyst View
"The digital revolution in oil and gas industry is increasing rapidly. Improved safety and productivity can be achieved by automating routine manual activities, which can also reduce the risk to human workers. Artificial Intelligence (AI) also has the potential to free scientists and engineers from repetitive and time-consuming tasks, and can assist in decision making."

Key Target Audience
AI system providers, Environmental research institutes, AI manufacturers and suppliers, National and local government organizations, Government and research organizations and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Hardware
  • Software
  • Services
By Application
  • Upstream
  • Midstream
  • Downstream
By Function Type
  • Material Handling
  • Production Planning
  • Field Services
  • Quality Control
  • Others

By Service Type
  • Professional
  • Managed

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. The Surging Incidents of Oil & Gas Leakage from Storage Tanks and Pipelines at Production Facilities
      • 3.2.2. Increasing Safety Concerns Among the Workforce, Especially the Maintenance of Aging Pipeline Infrastructure
    • 3.3. Market Challenges
      • 3.3.1. Increasing Cyber Attack and Data Breaches Across the World
    • 3.4. Market Trends
      • 3.4.1. Increasing Investment in Start-Ups for AI Implementation in Oil & Gas Industry in Various Regions Including Middle East, Africa and Others
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI in Oil and Gas, by Type, Application, Function Type, Service Type and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global AI in Oil and Gas (Value)
      • 5.2.1. Global AI in Oil and Gas by: Type (Value)
        • 5.2.1.1. Hardware
        • 5.2.1.2. Software
        • 5.2.1.3. Services
      • 5.2.2. Global AI in Oil and Gas by: Application (Value)
        • 5.2.2.1. Upstream
        • 5.2.2.2. Midstream
        • 5.2.2.3. Downstream
      • 5.2.3. Global AI in Oil and Gas by: Function Type (Value)
        • 5.2.3.1. Material Handling
        • 5.2.3.2. Production Planning
        • 5.2.3.3. Field Services
        • 5.2.3.4. Quality Control
        • 5.2.3.5. Others
      • 5.2.4. Global AI in Oil and Gas by: Service Type (Value)
        • 5.2.4.1. Professional
        • 5.2.4.2. Managed
      • 5.2.5. Global AI in Oil and Gas Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global AI in Oil and Gas (Price)
      • 5.3.1. Global AI in Oil and Gas by: Type (Price)
  • 6. AI in Oil and Gas: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Intel (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Accenture (Republic of Ireland)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Google (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Microsoft (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Oracle (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Sentient technologies (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Inbenta (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. General Vision (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Cisco (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global AI in Oil and Gas Sale, by Type, Application, Function Type, Service Type and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global AI in Oil and Gas (Value)
      • 7.2.1. Global AI in Oil and Gas by: Type (Value)
        • 7.2.1.1. Hardware
        • 7.2.1.2. Software
        • 7.2.1.3. Services
      • 7.2.2. Global AI in Oil and Gas by: Application (Value)
        • 7.2.2.1. Upstream
        • 7.2.2.2. Midstream
        • 7.2.2.3. Downstream
      • 7.2.3. Global AI in Oil and Gas by: Function Type (Value)
        • 7.2.3.1. Material Handling
        • 7.2.3.2. Production Planning
        • 7.2.3.3. Field Services
        • 7.2.3.4. Quality Control
        • 7.2.3.5. Others
      • 7.2.4. Global AI in Oil and Gas by: Service Type (Value)
        • 7.2.4.1. Professional
        • 7.2.4.2. Managed
      • 7.2.5. Global AI in Oil and Gas Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global AI in Oil and Gas (Price)
      • 7.3.1. Global AI in Oil and Gas by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI in Oil and Gas: by Type(USD Billion)
  • Table 2. AI in Oil and Gas Hardware , by Region USD Billion (2018-2023)
  • Table 3. AI in Oil and Gas Software , by Region USD Billion (2018-2023)
  • Table 4. AI in Oil and Gas Services , by Region USD Billion (2018-2023)
  • Table 5. AI in Oil and Gas: by Application(USD Billion)
  • Table 6. AI in Oil and Gas Upstream , by Region USD Billion (2018-2023)
  • Table 7. AI in Oil and Gas Midstream , by Region USD Billion (2018-2023)
  • Table 8. AI in Oil and Gas Downstream , by Region USD Billion (2018-2023)
  • Table 9. AI in Oil and Gas: by Function Type(USD Billion)
  • Table 10. AI in Oil and Gas Material Handling , by Region USD Billion (2018-2023)
  • Table 11. AI in Oil and Gas Production Planning , by Region USD Billion (2018-2023)
  • Table 12. AI in Oil and Gas Field Services , by Region USD Billion (2018-2023)
  • Table 13. AI in Oil and Gas Quality Control , by Region USD Billion (2018-2023)
  • Table 14. AI in Oil and Gas Others , by Region USD Billion (2018-2023)
  • Table 15. AI in Oil and Gas: by Service Type(USD Billion)
  • Table 16. AI in Oil and Gas Professional , by Region USD Billion (2018-2023)
  • Table 17. AI in Oil and Gas Managed , by Region USD Billion (2018-2023)
  • Table 18. South America AI in Oil and Gas, by Country USD Billion (2018-2023)
  • Table 19. South America AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 20. South America AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 21. South America AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 22. South America AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 23. Brazil AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 24. Brazil AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 25. Brazil AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 26. Brazil AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 27. Argentina AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 28. Argentina AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 29. Argentina AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 30. Argentina AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 31. Rest of South America AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 32. Rest of South America AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 33. Rest of South America AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 34. Rest of South America AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 35. Asia Pacific AI in Oil and Gas, by Country USD Billion (2018-2023)
  • Table 36. Asia Pacific AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 37. Asia Pacific AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 38. Asia Pacific AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 39. Asia Pacific AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 40. China AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 41. China AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 42. China AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 43. China AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 44. Japan AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 45. Japan AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 46. Japan AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 47. Japan AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 48. India AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 49. India AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 50. India AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 51. India AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 52. South Korea AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 53. South Korea AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 54. South Korea AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 55. South Korea AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 56. Taiwan AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 57. Taiwan AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 58. Taiwan AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 59. Taiwan AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 60. Australia AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 61. Australia AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 62. Australia AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 63. Australia AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 64. Rest of Asia-Pacific AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 65. Rest of Asia-Pacific AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 66. Rest of Asia-Pacific AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 67. Rest of Asia-Pacific AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 68. Europe AI in Oil and Gas, by Country USD Billion (2018-2023)
  • Table 69. Europe AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 70. Europe AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 71. Europe AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 72. Europe AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 73. Germany AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 74. Germany AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 75. Germany AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 76. Germany AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 77. France AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 78. France AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 79. France AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 80. France AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 81. Italy AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 82. Italy AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 83. Italy AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 84. Italy AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 85. United Kingdom AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 86. United Kingdom AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 87. United Kingdom AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 88. United Kingdom AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 89. Netherlands AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 90. Netherlands AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 91. Netherlands AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 92. Netherlands AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 93. Rest of Europe AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 94. Rest of Europe AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 95. Rest of Europe AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 96. Rest of Europe AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 97. MEA AI in Oil and Gas, by Country USD Billion (2018-2023)
  • Table 98. MEA AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 99. MEA AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 100. MEA AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 101. MEA AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 102. Middle East AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 103. Middle East AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 104. Middle East AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 105. Middle East AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 106. Africa AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 107. Africa AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 108. Africa AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 109. Africa AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 110. North America AI in Oil and Gas, by Country USD Billion (2018-2023)
  • Table 111. North America AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 112. North America AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 113. North America AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 114. North America AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 115. United States AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 116. United States AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 117. United States AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 118. United States AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 119. Canada AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 120. Canada AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 121. Canada AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 122. Canada AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 123. Mexico AI in Oil and Gas, by Type USD Billion (2018-2023)
  • Table 124. Mexico AI in Oil and Gas, by Application USD Billion (2018-2023)
  • Table 125. Mexico AI in Oil and Gas, by Function Type USD Billion (2018-2023)
  • Table 126. Mexico AI in Oil and Gas, by Service Type USD Billion (2018-2023)
  • Table 127. AI in Oil and Gas: by Type(USD/Units)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. AI in Oil and Gas: by Type(USD Billion)
  • Table 139. AI in Oil and Gas Hardware , by Region USD Billion (2025-2030)
  • Table 140. AI in Oil and Gas Software , by Region USD Billion (2025-2030)
  • Table 141. AI in Oil and Gas Services , by Region USD Billion (2025-2030)
  • Table 142. AI in Oil and Gas: by Application(USD Billion)
  • Table 143. AI in Oil and Gas Upstream , by Region USD Billion (2025-2030)
  • Table 144. AI in Oil and Gas Midstream , by Region USD Billion (2025-2030)
  • Table 145. AI in Oil and Gas Downstream , by Region USD Billion (2025-2030)
  • Table 146. AI in Oil and Gas: by Function Type(USD Billion)
  • Table 147. AI in Oil and Gas Material Handling , by Region USD Billion (2025-2030)
  • Table 148. AI in Oil and Gas Production Planning , by Region USD Billion (2025-2030)
  • Table 149. AI in Oil and Gas Field Services , by Region USD Billion (2025-2030)
  • Table 150. AI in Oil and Gas Quality Control , by Region USD Billion (2025-2030)
  • Table 151. AI in Oil and Gas Others , by Region USD Billion (2025-2030)
  • Table 152. AI in Oil and Gas: by Service Type(USD Billion)
  • Table 153. AI in Oil and Gas Professional , by Region USD Billion (2025-2030)
  • Table 154. AI in Oil and Gas Managed , by Region USD Billion (2025-2030)
  • Table 155. South America AI in Oil and Gas, by Country USD Billion (2025-2030)
  • Table 156. South America AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 157. South America AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 158. South America AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 159. South America AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 160. Brazil AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 161. Brazil AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 162. Brazil AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 163. Brazil AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 164. Argentina AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 165. Argentina AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 166. Argentina AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 167. Argentina AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 168. Rest of South America AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 169. Rest of South America AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 170. Rest of South America AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 171. Rest of South America AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 172. Asia Pacific AI in Oil and Gas, by Country USD Billion (2025-2030)
  • Table 173. Asia Pacific AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 174. Asia Pacific AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 175. Asia Pacific AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 176. Asia Pacific AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 177. China AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 178. China AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 179. China AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 180. China AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 181. Japan AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 182. Japan AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 183. Japan AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 184. Japan AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 185. India AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 186. India AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 187. India AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 188. India AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 189. South Korea AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 190. South Korea AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 191. South Korea AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 192. South Korea AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 193. Taiwan AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 194. Taiwan AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 195. Taiwan AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 196. Taiwan AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 197. Australia AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 198. Australia AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 199. Australia AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 200. Australia AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 201. Rest of Asia-Pacific AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 202. Rest of Asia-Pacific AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 203. Rest of Asia-Pacific AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 204. Rest of Asia-Pacific AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 205. Europe AI in Oil and Gas, by Country USD Billion (2025-2030)
  • Table 206. Europe AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 207. Europe AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 208. Europe AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 209. Europe AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 210. Germany AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 211. Germany AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 212. Germany AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 213. Germany AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 214. France AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 215. France AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 216. France AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 217. France AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 218. Italy AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 219. Italy AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 220. Italy AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 221. Italy AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 222. United Kingdom AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 223. United Kingdom AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 224. United Kingdom AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 225. United Kingdom AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 226. Netherlands AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 227. Netherlands AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 228. Netherlands AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 229. Netherlands AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 230. Rest of Europe AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 231. Rest of Europe AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 232. Rest of Europe AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 233. Rest of Europe AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 234. MEA AI in Oil and Gas, by Country USD Billion (2025-2030)
  • Table 235. MEA AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 236. MEA AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 237. MEA AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 238. MEA AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 239. Middle East AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 240. Middle East AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 241. Middle East AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 242. Middle East AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 243. Africa AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 244. Africa AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 245. Africa AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 246. Africa AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 247. North America AI in Oil and Gas, by Country USD Billion (2025-2030)
  • Table 248. North America AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 249. North America AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 250. North America AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 251. North America AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 252. United States AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 253. United States AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 254. United States AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 255. United States AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 256. Canada AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 257. Canada AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 258. Canada AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 259. Canada AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 260. Mexico AI in Oil and Gas, by Type USD Billion (2025-2030)
  • Table 261. Mexico AI in Oil and Gas, by Application USD Billion (2025-2030)
  • Table 262. Mexico AI in Oil and Gas, by Function Type USD Billion (2025-2030)
  • Table 263. Mexico AI in Oil and Gas, by Service Type USD Billion (2025-2030)
  • Table 264. AI in Oil and Gas: by Type(USD/Units)
  • Table 265. Research Programs/Design for This Report
  • Table 266. Key Data Information from Secondary Sources
  • Table 267. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI in Oil and Gas: by Type USD Billion (2018-2023)
  • Figure 5. Global AI in Oil and Gas: by Application USD Billion (2018-2023)
  • Figure 6. Global AI in Oil and Gas: by Function Type USD Billion (2018-2023)
  • Figure 7. Global AI in Oil and Gas: by Service Type USD Billion (2018-2023)
  • Figure 8. South America AI in Oil and Gas Share (%), by Country
  • Figure 9. Asia Pacific AI in Oil and Gas Share (%), by Country
  • Figure 10. Europe AI in Oil and Gas Share (%), by Country
  • Figure 11. MEA AI in Oil and Gas Share (%), by Country
  • Figure 12. North America AI in Oil and Gas Share (%), by Country
  • Figure 13. Global AI in Oil and Gas: by Type USD/Units (2018-2023)
  • Figure 14. Global AI in Oil and Gas share by Players 2023 (%)
  • Figure 15. Global AI in Oil and Gas share by Players (Top 3) 2023(%)
  • Figure 16. Global AI in Oil and Gas share by Players (Top 5) 2023(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2023
  • Figure 20. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 21. Intel (United States) Revenue: by Geography 2023
  • Figure 22. Accenture (Republic of Ireland) Revenue, Net Income and Gross profit
  • Figure 23. Accenture (Republic of Ireland) Revenue: by Geography 2023
  • Figure 24. Google (United States) Revenue, Net Income and Gross profit
  • Figure 25. Google (United States) Revenue: by Geography 2023
  • Figure 26. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 27. Microsoft (United States) Revenue: by Geography 2023
  • Figure 28. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 29. Oracle (United States) Revenue: by Geography 2023
  • Figure 30. Sentient technologies (United States) Revenue, Net Income and Gross profit
  • Figure 31. Sentient technologies (United States) Revenue: by Geography 2023
  • Figure 32. Inbenta (United States) Revenue, Net Income and Gross profit
  • Figure 33. Inbenta (United States) Revenue: by Geography 2023
  • Figure 34. General Vision (United States) Revenue, Net Income and Gross profit
  • Figure 35. General Vision (United States) Revenue: by Geography 2023
  • Figure 36. Cisco (United States) Revenue, Net Income and Gross profit
  • Figure 37. Cisco (United States) Revenue: by Geography 2023
  • Figure 38. Global AI in Oil and Gas: by Type USD Billion (2025-2030)
  • Figure 39. Global AI in Oil and Gas: by Application USD Billion (2025-2030)
  • Figure 40. Global AI in Oil and Gas: by Function Type USD Billion (2025-2030)
  • Figure 41. Global AI in Oil and Gas: by Service Type USD Billion (2025-2030)
  • Figure 42. South America AI in Oil and Gas Share (%), by Country
  • Figure 43. Asia Pacific AI in Oil and Gas Share (%), by Country
  • Figure 44. Europe AI in Oil and Gas Share (%), by Country
  • Figure 45. MEA AI in Oil and Gas Share (%), by Country
  • Figure 46. North America AI in Oil and Gas Share (%), by Country
  • Figure 47. Global AI in Oil and Gas: by Type USD/Units (2025-2030)
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Intel (United States)
  • Accenture (Republic of Ireland)
  • Google (United States)
  • Microsoft (United States)
  • Oracle (United States)
  • Sentient technologies (United States)
  • Inbenta (United States)
  • General Vision (United States)
  • Cisco (United States)
Additional players considered in the study are as follows:
FuGenX Technologies (United States) , Infosys (India) , Hortonworks (United States) , Royal Dutch Shell (Netherlands)
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Apr 2024 249 Pages 70 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global AI in Oil and Gas Market Quantitative research analysis
Global AI in Oil and Gas Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as IBM (United States), Intel (United States), Accenture (Republic of Ireland), Google (United States), Microsoft (United States), Oracle (United States), Sentient technologies (United States), Inbenta (United States), General Vision (United States) and Cisco (United States) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Increasing Investment in Start-Ups for AI Implementation in Oil & Gas Industry in Various Regions Including Middle East, Africa and Others" is seen as one of major influencing trends for AI in Oil and Gas Market during projected period 2023-2030.
The AI in Oil and Gas market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.
Analysts at AMA estimates AI in Oil and Gas Market to reach USD2.9 Billion by 2030.

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