Artificial Intelligence in Oil and Gas Market Size, Share & Trends Forecast by 2033

Research Methodology – Artificial Intelligence in Oil and Gas Market

At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Artificial Intelligence in Oil and Gas Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Artificial Intelligence in Oil and Gas Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share

The number of existing companies providing AI solutions for the oil and gas sector.
The rate of adoption of AI technologies by the oil and gas industry.
The amount of investment made by oil and gas companies in AI technology.
Revenue generated by AI companies from the oil and gas sector.
The growth rate of the AI technology sector in the oil and gas industry.
Analysis of specific regions and their contribution to the global market share.

Key Market Indicators

Year-on-year growth rate of AI applications in the oil and gas industry.
Market penetration rates of AI in different aspects of oil and gas operations.
Revenue contribution from AI in the overall oil and gas industryâs income.
Number of partnerships, mergers, and acquisitions within the AI for oil and gas market.
The spending on AI technologies by oil and gas companies.

Growth Trends

Trends in developing AI technologies in sectors such as drilling, production, exploration, and refining processes.
Increasing use of AI for predictive maintenance, real-time decision making, and process optimization in the oil and gas industry.
Trends in partnerships or collaborations between AI tech firms and oil and gas companies.
Growth of cloud-based AI solutions for data management in the oil and gas sector.
Increasing adoption of AI for environmental and safety management in the oil and gas industry.

Secondary Research

Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Artificial Intelligence in Oil and Gas Market. Key inputs include:

Company-Level Information

Annual reports, investor presentations, SEC filings
Company press releases and product launch announcements
Public executive interviews and earnings calls
Strategy briefings and M&A updates

Industry and Government Sources

Country-level industry associations and trade bodies
Government dossiers, policy frameworks, and official releases
Whitepapers, working papers, and public R&D initiatives
Relevant Associations for the Artificial Intelligence in Oil and Gas Market

Market Intelligence Sources

Broker reports and financial analyst coverage
Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
Import/export trade data and tariff databases
Sector-specific journals, magazines, and news portals

Macro & Consumer Insights

Global macroeconomic indicators and their cascading effect on the industry
Demand–supply outlook and value chain analysis
Consumer behaviour, adoption rates, and commercialization trends

Primary Research

To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:

Expert Insights & KOL Engagements

Key Opinion Leader (KOL) Engagements
Structured interviews with executives, product managers, and domain experts
Paid and barter-based interviews across manufacturers, distributors, and end-users

Focused Discussions & Panels

Discussions with stakeholders to validate demand-supply gaps
Group discussions on emerging technologies, regulatory shifts, and adoption barriers

Data Validation & Business POV

Cross-verification of market sizing and forecasts with industry insiders
Capturing business perspectives on growth opportunities and restraints

Data Triangulation & Forecasting

The final step of our research involves data triangulation ensuring accuracy through cross-verification of:

Demand-side analysis (consumption patterns, adoption trends, customer spending)
Supply-side analysis (production, capacity, distribution, and market availability)
Macroeconomic & microeconomic impact factors

Forecasting is carried out using proprietary models that combine: