Generative AI in Oil and Gas Market to Reach USD 11.29 Billion by 2035, Growing from USD 920 Million in 2025 -
Generative AI in Oil and Gas Market
London, UK - October 2026 | Strategic Revenue Insights Inc. - The ageing workforce, major contracts such as the ADNOC AIQ agreement and the Aramco Metabrain project, and cloud hosting services are helping generative AI spread quickly across drilling, underground exploration and daily operations.
https://www.strategicrevenueinsights.com/industry/generative-ai-in-oil-and-gas-market
Strategic Revenue Insights Inc. reports that the generative AI market in oil and gas was worth USD 920 million in 2025. It is expected to grow to USD 11.29 billion by 2035, with a compound annual growth rate (CAGR) of 28.5%. Lead analyst Sandeepa Kulkarni prepared the report. The research combines interviews with people and companies in the industry, including oil and gas operators, cloud and AI platform providers, oilfield software companies and systems integrators. It also uses other published data from the regions covered by the report.
KEY TAKEAWAYS
The market is expected to grow from USD 920 million in 2025 to USD 11.29 billion by 2035, at a CAGR of 28.5%.
Agentic AI Applications is the largest component, accounting for 30% of the market. Foundation Models and Platforms is the fastest-growing component, with a CAGR of 30.0%.
Cloud deployment leads the market with a 40% share, while Hybrid deployment is growing fastest, at a CAGR of 29.6%. Drilling and Well Planning is the largest application, with a 25% share. Upstream accounts for 50% of the market and is growing at a CAGR of 29.3%.
North America is the largest regional market, with a 30% share in 2025. Asia Pacific is the fastest-growing region, with a CAGR of 29.6%.
Companies named in the market include Microsoft, Google Cloud and Amazon Web Services.
Full report access: https://www.strategicrevenueinsights.com/industry/generative-ai-in-oil-and-gas-market
GROWTH DRIVERS AND TRENDS
The ageing workforce is the biggest factor driving market growth. It adds about 5 percentage points to the CAGR because oil and gas operators use generative AI to record expert knowledge and pass it on to others. The ADNOC AIQ contract adds 4 percentage points. The Aramco Metabrain project and cloud hosting services each add 3 percentage points, according to the report.
The report identifies several important trends: more use of cloud-based AI, which held a 40% market share in 2025; agentic AI for operations and maintenance; foundation models that process data in real time; and AI copilots designed for specific tasks, such as drilling and well planning.
MARKET SEGMENTATION
By component, the market includes Foundation Models and Platforms, Domain-Specific Copilots, Agentic AI Applications, and Services (Integration and Fine-Tuning). Agentic AI Applications is the largest segment, with a 30% share in 2025. Foundation Models and Platforms is growing fastest, at a CAGR of 30.0%.
By deployment method, the market includes Cloud, On-Premises and Hybrid. Cloud is the largest segment, with a 40% share. Hybrid is growing fastest, at a CAGR of 29.6%.
By application, the market includes Subsurface and Geoscience Interpretation, Drilling and Well Planning, Operations and Maintenance Assistants, Engineering Document Search, Trading and Commercial Analytics, and HSE Reporting and Compliance. Drilling and Well Planning is the largest segment, with a 25% share. Trading and Commercial Analytics is growing fastest, at a CAGR of 29.9%.
By type of operation, the market is divided into Upstream, Midstream and Downstream. Upstream is the largest segment, with a 50% share, and is also the fastest-growing, at a CAGR of 29.3%.
REGIONAL OUTLOOK
The report covers North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America is the largest regional market, with a 30% share in 2025. Asia Pacific is the fastest-growing region, at a CAGR of 29.6%. The source does not provide more detailed market values or growth rates for individual regions.
COMPETITIVE LANDSCAPE
The report examines several companies. Microsoft offers Azure AI services designed for the oil and gas industry. Google Cloud provides AI tools for analyzing oil and gas data. Amazon Web Services offers cloud-based AI solutions for the industry. NVIDIA supplies graphics processing units (GPUs) and AI tools for energy-related uses. SLB adds generative AI to its software for understanding underground resources. Halliburton includes AI assistants in its drilling software.
MARKET RESTRAINTS
High implementation costs are estimated to reduce the CAGR by 4 percentage points. Concerns about data privacy reduce it by another 3 percentage points. The report also identifies resistance to adopting new technology, regulatory barriers and market uncertainty as challenges.
RELATED REPORTS
https://www.strategicrevenueinsights.com/industry/ai-in-seismic-interpretation-market
https://www.strategicrevenueinsights.com/industry/methane-emissions-monitoring-in-oil-and-gas-market
https://www.strategicrevenueinsights.com/industry/ot-cybersecurity-in-oil-and-gas-market
https://www.strategicrevenueinsights.com/industry/ai-in-refinery-optimization-market
https://www.strategicrevenueinsights.com/industry/computer-vision-in-oil-and-gas-market
https://www.strategicrevenueinsights.com/industry/oil-and-gas-cloud-computing-market
https://www.strategicrevenueinsights.com/industry/oil-and-gas-production-optimization-market
https://www.strategicrevenueinsights.com/industry/digital-twin-in-oil-and-gas-market
https://www.strategicrevenueinsights.com/industry/predictive-maintenance-in-oil-and-gas-market
https://www.strategicrevenueinsights.com/industry/digital-oilfield-market
FREQUENTLY ASKED QUESTIONS
How large was the generative AI market in oil and gas in 2025?
The market was worth USD 920 million in 2025.
What is the market forecast for 2035?
The market is expected to reach USD 11.29 billion by 2035, growing at a CAGR of 28.5%.
Which segment is the largest in the generative AI market for oil and gas?
Agentic AI Applications is the largest component, with a 30% share in 2025. Drilling and Well Planning is the largest application, with a 25% share.
Which region leads the generative AI market for oil and gas?
North America is the largest regional market, with a 30% share in 2025. Asia Pacific is the fastest-growing region, with a CAGR of 29.6%.
MEDIA CONTACT INFORMATION
Company Name: Strategic Revenue Insights Inc.
Contact Person: Rohit Bhisey
Email: [email protected]
Phone: +44 7877403352
Address: Suite 10, Capital House, 61 Amhurst Road, E8 1LL
City: London
State: London
Country: United Kingdom
Strategic Revenue Insights Inc.
Rohit Bhisey
Suite 10, Capital House, 61 Amhurst Road, E8 1LL
London, United Kingdom
[email protected]
+44 7877403352
Strategic Revenue Insights Inc. is a subsidiary of SRI Consulting Group Ltd. It provides market research to help organizations around the world understand complex business markets and make informed decisions. Based in London, United Kingdom, the company offers market research reports, custom consulting services and practical advice to help clients make well-informed plans in competitive markets.
The company's analysts are based in London and work with a large global network. They track changes in markets, identify new trends and look for promising growth opportunities. As part of SRI Consulting Group Ltd, the company focuses on accurate analysis, clear reporting and useful findings. It helps organizations understand their competitors, improve their plans and increase revenue.
By combining careful research methods with industry knowledge, Strategic Revenue Insights Inc. provides detailed views of markets. Its work aims to help clients achieve measurable results and build lasting advantages over competitors across different industries and regions.
Corporate Websites:
www.strategicrevenueinsights.com
www.strategicpackaginginsights.com
www.sriconsultinggroupltd.com
https://strategicrevenueinsights.blog/
https://medium.com/@strategic-revenue-insights.inc
https://www.strategicrevenueinsights.com/press-releases
This release was published on openPR.