Global AI in Oil and Gas Market

Global AI in Oil and Gas Market Research Report 2021

Global AI in Oil and Gas Market

Global AI in Oil and Gas Market Research Report 2021


The AI in Oil and Gas Market report highlights technological advancements, investment opportunities, and regulatory frameworks shaping the industry landscape through 2030.

Exclusive deal : 20% Instant discount on Direct purchases! Don't wait—claim your discount today!

Research Predicts that AI in Oil and Gas Market was valued USD xxxx unit in 2020 and is expected to reach USD xxxx Unit by the year 2025, growing at a CAGR of xx% globally.

Global AI in Oil and Gas Market Overview:

Global AI in Oil and Gas Market Report 2020 comes with the extensive industry analysis of development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2020-2025.This research study of AI in Oil and Gas involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.

Impact of COVID-19 on AI in Oil and Gas Market

Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affected the AI in Oil and Gas market in 2020.

Global AI in Oil and Gas Market Segmentation

By Type, AI in Oil and Gas market has been segmented into:

Hardware

Software

Hybrid

By Application, AI in Oil and Gas market has been segmented into:

Upstream

Downstream

Midstream

Regional Analysis:

North America (U.S., Canada, Mexico)

Europe (Germany, U.K., France, Italy, Russia, Spain etc.)

Asia-Pacific (China, India, Japan, Southeast Asia etc.)

South America (Brazil, Argentina etc.)

Middle East & Africa (Saudi Arabia, South Africa etc.)

Top Key Players Covered in AI in Oil and Gas market are:

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)

1. Market 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 AI in Oil and Gas Market Size by Regions: 2015 VS 2021 VS 2026

1.3 AI in Oil and Gas Historic Market Size by Regions (2015-2020)

1.4 AI in Oil and Gas Forecasted Market Size by Regions (2021-2026)

1.5 Covid-19 Impact on Key Regions, Keyword Market Size YoY Growth (2015-2026)

1.5.1 North America

1.5.2 East Asia

1.5.3 Europe

1.5.4 South Asia

1.5.5 Southeast Asia

1.5.6 Middle East

1.5.7 Africa

1.5.8 Oceania

1.5.9 South America

1.5.10 Rest of the World

1.6 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth

1.6.1 Covid-19 Impact: Global GDP Growth, 2019, 2020 and 2021 Projections

1.6.2 Covid-19 Impact: Commodity Prices Indices

1.6.3 Covid-19 Impact: Global Major Government Policy

2. Covid-19 Impact AI in Oil and Gas Sales Market by Type (2015-2026)

2.1 Global AI in Oil and Gas Historic Market Size by Type (2015-2020)

2.2 Global AI in Oil and Gas Forecasted Market Size by Type (2021-2026)

2.3 Hardware

2.4 Software

2.5 Hybrid

3. Covid-19 Impact AI in Oil and Gas Sales Market by Application (2015-2026)

3.1 Global AI in Oil and Gas Historic Market Size by Application (2015-2020)

3.2 Global AI in Oil and Gas Forecasted Market Size by Application (2021-2026)

3.3 Upstream

3.4 Downstream

3.5 Midstream

4. Covid-19 Impact Market Competition by Manufacturers

4.1 Global AI in Oil and Gas Production Capacity Market Share by Manufacturers (2015-2020)

4.2 Global AI in Oil and Gas Revenue Market Share by Manufacturers (2015-2020)

4.3 Global AI in Oil and Gas Average Price by Manufacturers (2015-2020)

5. Company Profiles and Key Figures in AI in Oil and Gas Business

5.1 IBM (US)

5.1.1 IBM (US) Company Profile

5.1.2 IBM (US) AI in Oil and Gas Product Specification

5.1.3 IBM (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.2 Intel (US)

5.2.1 Intel (US) Company Profile

5.2.2 Intel (US) AI in Oil and Gas Product Specification

5.2.3 Intel (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.3 Accenture (Republic of Ireland)

5.3.1 Accenture (Republic of Ireland) Company Profile

5.3.2 Accenture (Republic of Ireland) AI in Oil and Gas Product Specification

5.3.3 Accenture (Republic of Ireland) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.4 Google (US)

5.4.1 Google (US) Company Profile

5.4.2 Google (US) AI in Oil and Gas Product Specification

5.4.3 Google (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.5 Microsoft (US)

5.5.1 Microsoft (US) Company Profile

5.5.2 Microsoft (US) AI in Oil and Gas Product Specification

5.5.3 Microsoft (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.6 Oracle (US)

5.6.1 Oracle (US) Company Profile

5.6.2 Oracle (US) AI in Oil and Gas Product Specification

5.6.3 Oracle (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.7 Numenta (US)

5.7.1 Numenta (US) Company Profile

5.7.2 Numenta (US) AI in Oil and Gas Product Specification

5.7.3 Numenta (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.8 Sentient technologies (US)

5.8.1 Sentient technologies (US) Company Profile

5.8.2 Sentient technologies (US) AI in Oil and Gas Product Specification

5.8.3 Sentient technologies (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.9 Inbenta (US)

5.9.1 Inbenta (US) Company Profile

5.9.2 Inbenta (US) AI in Oil and Gas Product Specification

5.9.3 Inbenta (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.10 General Vision (US)

5.10.1 General Vision (US) Company Profile

5.10.2 General Vision (US) AI in Oil and Gas Product Specification

5.10.3 General Vision (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.11 Cisco (US)

5.11.1 Cisco (US) Company Profile

5.11.2 Cisco (US) AI in Oil and Gas Product Specification

5.11.3 Cisco (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.12 FuGenX Technologies (US)

5.12.1 FuGenX Technologies (US) Company Profile

5.12.2 FuGenX Technologies (US) AI in Oil and Gas Product Specification

5.12.3 FuGenX Technologies (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.13 Infosys (India)

5.13.1 Infosys (India) Company Profile

5.13.2 Infosys (India) AI in Oil and Gas Product Specification

5.13.3 Infosys (India) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.14 Hortonworks (US)

5.14.1 Hortonworks (US) Company Profile

5.14.2 Hortonworks (US) AI in Oil and Gas Product Specification

5.14.3 Hortonworks (US) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

5.15 Royal Dutch Shell (Netherlands)

5.15.1 Royal Dutch Shell (Netherlands) Company Profile

5.15.2 Royal Dutch Shell (Netherlands) AI in Oil and Gas Product Specification

5.15.3 Royal Dutch Shell (Netherlands) AI in Oil and Gas Production Capacity, Revenue, Price and Gross Margin (2015-2020)

6. North America

6.1 North America AI in Oil and Gas Market Size (2015-2026)

6.2 North America AI in Oil and Gas Key Players in North America (2015-2020)

6.3 North America AI in Oil and Gas Market Size by Type (2015-2020)

6.4 North America AI in Oil and Gas Market Size by Application (2015-2020)

7. East Asia

7.1 East Asia AI in Oil and Gas Market Size (2015-2026)

7.2 East Asia AI in Oil and Gas Key Players in North America (2015-2020)

7.3 East Asia AI in Oil and Gas Market Size by Type (2015-2020)

7.4 East Asia AI in Oil and Gas Market Size by Application (2015-2020)

8. Europe

8.1 Europe AI in Oil and Gas Market Size (2015-2026)

8.2 Europe AI in Oil and Gas Key Players in North America (2015-2020)

8.3 Europe AI in Oil and Gas Market Size by Type (2015-2020)

8.4 Europe AI in Oil and Gas Market Size by Application (2015-2020)

9. South Asia

9.1 South Asia AI in Oil and Gas Market Size (2015-2026)

9.2 South Asia AI in Oil and Gas Key Players in North America (2015-2020)

9.3 South Asia AI in Oil and Gas Market Size by Type (2015-2020)

9.4 South Asia AI in Oil and Gas Market Size by Application (2015-2020)

10. Southeast Asia

10.1 Southeast Asia AI in Oil and Gas Market Size (2015-2026)

10.2 Southeast Asia AI in Oil and Gas Key Players in North America (2015-2020)

10.3 Southeast Asia AI in Oil and Gas Market Size by Type (2015-2020)

10.4 Southeast Asia AI in Oil and Gas Market Size by Application (2015-2020)

11. Middle East

11.1 Middle East AI in Oil and Gas Market Size (2015-2026)

11.2 Middle East AI in Oil and Gas Key Players in North America (2015-2020)

11.3 Middle East AI in Oil and Gas Market Size by Type (2015-2020)

11.4 Middle East AI in Oil and Gas Market Size by Application (2015-2020)

12. Africa

12.1 Africa AI in Oil and Gas Market Size (2015-2026)

12.2 Africa AI in Oil and Gas Key Players in North America (2015-2020)

12.3 Africa AI in Oil and Gas Market Size by Type (2015-2020)

12.4 Africa AI in Oil and Gas Market Size by Application (2015-2020)

13. Oceania

13.1 Oceania AI in Oil and Gas Market Size (2015-2026)

13.2 Oceania AI in Oil and Gas Key Players in North America (2015-2020)

13.3 Oceania AI in Oil and Gas Market Size by Type (2015-2020)

13.4 Oceania AI in Oil and Gas Market Size by Application (2015-2020)

14. South America

14.1 South America AI in Oil and Gas Market Size (2015-2026)

14.2 South America AI in Oil and Gas Key Players in North America (2015-2020)

14.3 South America AI in Oil and Gas Market Size by Type (2015-2020)

14.4 South America AI in Oil and Gas Market Size by Application (2015-2020)

15. Rest of the World

15.1 Rest of the World AI in Oil and Gas Market Size (2015-2026)

15.2 Rest of the World AI in Oil and Gas Key Players in North America (2015-2020)

15.3 Rest of the World AI in Oil and Gas Market Size by Type (2015-2020)

15.4 Rest of the World AI in Oil and Gas Market Size by Application (2015-2020)

16 AI in Oil and Gas Market Dynamics

16.1 Covid-19 Impact Market Top Trends

16.2 Covid-19 Impact Market Drivers

16.3 Covid-19 Impact Market Challenges

16.4 Porter’s Five Forces Analysis

18 Regulatory Information

17 Analyst's Viewpoints/Conclusions

18 Appendix

18.1 Research Methodology

18.1.1 Methodology/Research Approach

18.1.2 Data Source

18.2 Disclaimer

Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
AI in Oil and Gas Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Market Intellix Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Market Intellix Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
Who are the dominant players having a strong presence in the AI in Oil and Gas Market?
Some of the finest and top-notch companies pioneering the AI in Oil and Gas Market are 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).
How is the competition changing gears in the AI in Oil and Gas Industry?
Emerging markets will create new demands and put pressure on the industry to act quickly. Simultaneously, market players such as 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) will face challenges from the industry's increasing pace of consolidation, particularly in North America and Europe.
What are the major applications of the AI in Oil and Gas Market?
Depending upon the type of applications, the AI in Oil and Gas Market has been segmented into and other applications.
What is the estimated size & growth rate of the AI in Oil and Gas Market?
In recent years, the AI in Oil and Gas Market has grown at an incredible rate. From 2025 to 2030, the market is expected to grow at a CAGR of yy%.
What is really changing the AI in Oil and Gas Market behavior?
Consumer behavior changes will reshape the entire decision-making process and companies in the AI in Oil and Gas Industry will need to adapt quickly.
How is the competitive landscape for the AI in Oil and Gas Market defined?
Companies in the AI in Oil and Gas Industry are thoroughly researched and profiled in order to determine why certain trends will have a significant impact and how they will be factored into the AI in Oil and Gas Market's trajectory and future outlook.