The AI in oil and gas market is experiencing significant growth, driven by the industry's increasing need for data-driven operational optimization. The market was valued at $3.79 billion in 2025 and is forecast to reach $7.04 billion by 2030, growing at a compound annual growth rate (CAGR) of 13.20%. This growth is propelled by advancements in machine learning, edge analytics, and predictive maintenance.
The oil and gas industry is leveraging AI to improve operational efficiency, reduce costs, and enhance safety. AI applications range from predictive maintenance and drilling automation to production optimization and methane leak detection. Companies like SLB, ADNOC, and Baker Hughes are at the forefront of AI adoption, using it to drive innovation and stay competitive.
- SLB launched the Lumi data and AI platform, featuring large language models optimized for energy workflows.
- ADNOC Drilling formed Turnwell Industries LLC with SLB to complete unconventional wells using AI-driven smart-drilling designs.
- AIQ, ADNOC, Baker Hughes, and CORVA commenced a real-time rate-of-penetration optimization project using historical drilling data.
North America leads the AI adoption wave, with significant investments in automated rigs, predictive maintenance suites, and methane leak analytics. The Asia-Pacific region is projected to post a 14.9% CAGR through 2030, driven by upstream investment in countries like India and China.¹
