AI in Oil and Gas Market Report 2025

The AI in oil and gas market size has grown rapidly in recent years. It will grow from $3.59 billion in 2024 to $4.06 billion in 2025 at a compound annual growth rate (CAGR) of 13.1%. The growth in the historic period can be attributed to data explosion in the industry, operational efficiency improvement, automation of repetitive tasks, safety enhancement, optimization of exploration and drilling processes, enhanced reservoir management.

The AI in oil and gas market size is expected to see rapid growth in the next few years. It will grow to $6.7 billion in 2029 at a compound annual growth rate (CAGR) of 13.3%. The growth in the forecast period can be attributed to autonomous operations development, cybersecurity measures, energy transition integration, dynamic pricing strategies, resilience planning, global market volatility response. Major trends in the forecast period include digital twins for asset modeling, autonomous operations and robotics, advanced analytics for reservoir management, cognitive computing for decision support, cloud-based AI solutions, remote monitoring and control.

Major companies in the market are prioritizing advancements in AI technology to improve cash flow management, decrease processing times, and enhance accuracy in invoicing and collections. AI technology simulates human intelligence in machines that are designed to think, learn, and make autonomous decisions. For example, in July 2024, Indosat, an Indonesia-based internet service provider, launched a suite of AI-powered, cloud-based solutions. This suite leverages AI to enhance exploration methods through high-resolution seismic wave measurements, which could potentially boost production by as much as 10%.

The escalating energy demand serves as another pivotal driver propelling the growth trajectory of the AI in oil and gas market. Energy demand, representing the quantity of energy required by consumers or industries, acts as a crucial metric guiding resource allocation in the oil and gas sector. AI algorithms play a pivotal role in analyzing energy consumption patterns, facilitating efficient resource allocation, cost reduction, and waste minimization. Notably, the European Commission, in August 2023, set ambitious goals for energy efficiency, targeting a 20% increase by 2020 and at least 35% by 2030. This surge in energy demand significantly drives the growth of the AI in oil and gas market.

Major companies in the AI in the oil and gas market are concentrating on creating technologically advanced solutions, such as AI tools designed to optimize operations, enhance predictive maintenance, and improve safety and efficiency. These AI tools encompass sophisticated software and algorithms that analyze data to streamline processes, predict equipment failures, and enhance decision-making within oil and gas operations. For example, in July 2024, Indosat, an Indonesia-based internet service provider, launched a suite of AI-powered, cloud-based solutions. This suite boosts operational efficiency by automating tasks and optimizing resource allocation, resulting in substantial cost savings. Furthermore, it facilitates data-driven decision-making through the rapid analysis of large datasets, thereby enhancing productivity across the organization.

Leading entities within the AI in oil and gas market are at the forefront of innovating new technologies, notably exemplified by the emergence of Intelligent E&P (Exploration and Production) solutions. This digital system serves as a critical enabler for oil and gas companies, facilitating advanced and efficient E&P research through the integration of high-performance computing, extensive data storage, AI exploration models, and collaborative scheduling of software and hardware resources. A significant development occurred in September 2023 when Huawei Technologies Co Ltd., a prominent China-based technology company, unveiled its Intelligent E&P Solution. Huawei's E&P cloud solution revolutionizes operations by enabling the conversion of capital expenditure (CAPEX) to operational expenditure (OPEX) and substantially amplifying efficiency in seismic processing and interpretation. Centralized data administration and cloud-based sharing play pivotal roles in enhancing exploration and prediction efficiency, while also consolidating and disseminating professional expertise, marking a transformative leap in the industry.

In March 2023, Accenture plc, a multinational professional services firm based in Ireland, acquired Flutura Decision Sciences and Analytics for an undisclosed amount. This acquisition is part of Accenture's strategy to enhance its digital capabilities, broaden its service offerings, and foster innovation for its clients in an increasingly competitive landscape. Flutura Decision Sciences and Analytics, located in India, specializes in data analytics and artificial intelligence solutions.

Major companies operating in the AI in oil and gas market are The International Business Machines Corporation, Microsoft Corporation, Accenture PLC, Google LLC, Intel Corporation, Schlumberger Limited, Halliburton Company, Baker Hughes Company, National Oilwell Varco Inc., Weatherford International PLC, TechnipFMC PLC, Wood PLC, ABB Ltd, Siemens AG, Honeywell International Inc., Emerson Electric Co., General Electric Company, Rockwell Automation Inc., Schneider Electric SE, Yokogawa Electric Corporation, Mitsubishi Electric Corporation, Toshiba Corporation, Hitachi Ltd., Panasonic Corporation, NEC Corporation, Fujitsu Limited, Samsung Electronics Co. Ltd., LG Electronics Inc., Sony Corporation, Oracle Corporation, Numenta Corporation, Sentient Technologies Inc.

North America was the largest region in the AI in oil and gas market in 2024 and is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in oil and gas market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai in oil and gas market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

AI in the oil and gas industry is employed for a range of functions, including upstream operations, customized drilling, and optimization of downstream operations. Artificial intelligence (AI) involves creating machines that can emulate human intelligence, enabling them to act and think like people.

The main types of AI in the oil and gas sector are categorized into hardware, software, and hybrids. Hardware refers to the tangible components of computers or delivery systems responsible for storing and executing the written instructions provided by the software. Various functions of AI in this industry include predictive maintenance and machinery inspection, material movement, production planning, field services, quality control, and reclamation. Different processes involve reservoir optimization, drilling optimization, production optimization, safety management, and other related processes. Technologies such as the Internet of Things (IoT), advanced analytics, robotics, cloud computing, mobility, and others play a crucial role in the implementation of AI in oil and gas. Applications span the upstream, downstream, and midstream sectors of the industry.

The AI in oil and gas market research report is one of a series of new reports that provides AI in oil and gas market statistics, including AI in oil and gas industry global market size, regional shares, competitors with a AI in oil and gas market share, detailed AI in oil and gas market segments, market trends and opportunities, and any further data you may need to thrive in the AI in oil and gas industry. This AI in oil and gas market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in oil and gas market consists of revenues earned by entities by professional services, managed services, installation, training and support and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in oil and gas market also includes sales of hardware and software used in providing AI in oil and gas services. 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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