Generative AI in oil and gas market seen reaching $1.15 billion by 2030

Generative AI in oil and gas market seen reaching $1.15 billion by 2030

ResearchAndMarkets says the sector is projected to grow from $0.53 billion in 2025 to $0.62 billion in 2026, with cloud deployment, predictive maintenance and drilling support driving adoption.

Fact Check
The GlobeNewswire press release and the underlying ResearchAndMarkets report page both state identical figures: $1.89 billion in 2025, $2.48 billion in 2026, and $7.24 billion by 2030. Both cite fraud detection, digital banking, and AI-powered forecasting as expansion drivers, matching the claim exactly. This is a straightforward report of a published market forecast, and both the press release and the source report corroborate every element.
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Summary

The global generative AI in oil and gas market is projected to expand from $0.53 billion in 2025 to $0.62 billion in 2026, then reach $1.15 billion by 2030, according to a ResearchAndMarkets report. The study says growth has been supported by digital monitoring systems, predictive maintenance AI, exploration activity and early data analytics for reservoir modeling, while further expansion is expected to come from cloud-based AI tools for real-time monitoring, scalable SaaS platforms, predictive modeling for asset performance and wider use of AI for drilling decision support. The report highlights predictive maintenance, reservoir modeling optimization, AI-powered drilling optimization, real-time exploration analytics and anomaly detection in operations as major trends. Cloud adoption is described as a central enabler because it offers scalability, lower infrastructure burden and support for remote operations. Gartner is cited as forecasting public cloud spending of $723.4 billion by 2025, with most organizations adopting hybrid cloud strategies. Saudi Aramco and Shell are identified among companies advancing the technology. The report says Saudi Aramco launched Aramco Metabrain AI in 2024, a large language model for the energy sector designed to support strategic decision-making using historical data, while Shell partnered with SparkCognition to improve subsurface imaging and exploration. Exxon Mobil Corporation, Google LLC, Chevron Corporation, TotalEnergies SE and Microsoft Corporation are also among the companies cited. North America held the largest regional share in 2025. The study also says tariffs are raising the cost of imported AI technology while encouraging local AI development and domestic alternatives.

Terms & Concepts
  • predictive maintenance: the use of AI and data analysis to anticipate equipment failures before they occur, helping reduce downtime and repair costs
  • reservoir modeling: the use of data and simulation tools to estimate the characteristics and behavior of underground oil and gas reservoirs
  • large language model: an AI model trained on large datasets to understand and generate human-like text for tasks such as analysis and decision support