Big Data in the Oil and Gas Sector Market Report 2026

The big data in the oil and gas sector market size has grown rapidly in recent years. It will grow from $6.98 billion in 2025 to $8.04 billion in 2026 at a compound annual growth rate (CAGR) of 15.1%. The growth in the historic period can be attributed to growth of digital sensors, operational efficiency needs, data-driven decision making, cost reduction initiatives, safety compliance requirements.

The big data in the oil and gas sector market size is expected to see rapid growth in the next few years. It will grow to $13 billion in 2030 at a compound annual growth rate (CAGR) of 12.8%. The growth in the forecast period can be attributed to AI-driven analytics adoption, automation of oilfield operations, cloud migration acceleration, digital twin deployment, emission monitoring requirements. Major trends in the forecast period include predictive maintenance analytics, real-time production optimization, advanced reservoir modeling, cloud-based data platforms, cybersecurity integration.

The anticipated rise in oil and gas production is poised to drive the expansion of big data applications in the oil and gas sector market. Factors contributing to increased production include escalating global energy demand, offshore exploration expansion, infrastructure investments, and regulatory developments. This upsurge presents significant opportunities for deploying big data analytics to enhance operational efficiency, optimize asset performance, bolster safety and environmental standards, and inform strategic decision-making. By integrating and analyzing data from diverse sources, stakeholders can gain comprehensive insights into operations and identify areas for enhancement. Notably, figures from the Energy Information Administration (EIA) indicate that in 2023, US crude oil production averaged 12.4 million barrels per day (b/d), with forecasts projecting a rise to 12.8 million b/d in 2024, underscoring the pivotal role of increasing oil and gas production in fueling the growth of big data in the oil and gas sector market.

Leading companies in the Big Data in the Oil and Gas Sector market are focusing on innovative solutions such as agentic AI-powered data analytics platforms to enhance operational efficiency, enable predictive maintenance, and support automated decision-making. Agentic AI-powered data analytics platforms integrate large datasets from sensors, drilling activities, and production systems, using advanced AI models to automate workflows, predict failures, and optimize processes beyond the capabilities of traditional analytics tools that typically rely on manual interpretation and static reporting. For example, in November 2025, Schlumberger Limited, a U.S.-based energy technology company, launched Tela, an agentic AI assistant built on its Lumi data and AI platform to transform upstream energy operations. Tela automates processes, interprets well logs, anticipates drilling challenges, and optimizes equipment performance through proactive AI agents capable of learning and acting autonomously across workflows. The solution combines conversational interfaces with large language and domain-specific models, delivering faster, context-aware insights that support both human collaboration and independent action.

In April 2023, GE Gas Power, a US-based provider of control systems for gas power plants, completed the acquisition of Nexus Controls for an undisclosed sum. This strategic move aims to consolidate a comprehensive controls business line within GE Gas Power by integrating Nexus Controls' expertise with GE's proprietary Mark Vle controls systems platform. The acquisition enhances the customer experience throughout power plant lifecycles by leveraging Nexus Controls' specialization in industrial automation and control systems, which play a crucial role in the ongoing evolution of the oil and gas sector.

Major companies operating in the big data in the oil and gas sector market are Amazon.com Inc, Alphabet Inc, Microsoft Corporation, Dell Technologies Inc, Hitachi Vantara LLC, General Electric Company, Accenture plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, Schlumberger Limited, Capgemini SE, Baker Hughes Company, Halliburton Company, DXC Technology Company, HCL Technologies Limited, Teradata Corporation, BigPanda Inc, Alteryx Inc, Altair Engineering Inc, Cloudera Inc, Datameer, Inc, Enverus, Northwest Analytics Inc, Hortonworks Inc, MapR Technologies Inc.

North America was the largest region in the big data in the oil and gas sector market in 2025. The regions covered in the big data in the oil and gas sector market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the big data in the oil and gas sector market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data in the oil and gas sector market consists of revenues earned by entities by providing services such as predictive maintenance, exploration and production optimization, supply chain management, and asset integrity management. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data in the oil and gas sector market also includes geospatial analytics, data security and compliance, energy efficiency, reservoir monitoring, and management. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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