
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.
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.