Artificial intelligence (AI) in oil and gas refers to the development and application of artificial intelligence technologies to drive more effective exploration, production, refining, and distribution of oil and natural gas. AI helps oil and gas companies improve operational efficiency, reduce costs, enhance health and safety, and gain deeper insights from data. AI techniques such as machine learning, deep learning, and natural language processing are used for applications including predictive maintenance, production optimization, drilling management, revenue generation, and fraud detection. The Global Artificial Intelligence (AI) in Oil and Gas Market is estimated to be valued at US$ 2.99 BN in 2024 and is expected to exhibit a CAGR of 12% over the forecast period 2024 to 2031.
Key Takeaways
Key players operating in the artificial intelligence (AI) oil and gas are Google, IBM, SAS, Accenture Plc., Baidu, Inc., H2O.ai., Microsoft Corporation, Oracle Corporation. These companies are focusing on developing new AI solutions and acquiring startups working on AI technologies for oil and gas applications. There is a significant opportunity for AI vendors to develop solutions tailored for upstream, midstream, and downstream operations in the oil and gas industry.
The increasing volume and variety of oil and gas production data presents a massive opportunity for Artificial Intelligence (AI) in Oil and Gas Market Demand to derive insights for optimizing field operations, improving productivity, reducing costs, enhancing safety, and making informed business decisions. Oil and gas companies are also eyeing expansion into new regions and markets which can be enabled through AI-powered predictive analytics, risk assessment, and remote operations.
AI is witnessing increased adoption across the oil and gas value chain with growing focus on data-driven decision making. Oil and gas companies are deploying AI solutions for applications including predictive maintenance, production optimization, reservoir monitoring, drilling management, and risk assessment to maximize ROI from assets. Furthermore, AI assimilation is helping oil and gas operators streamline operations, enhance collaboration across geographies, and enable real-time remote operations.
Market drivers:
Rising need for data-driven decision making: Oil and gas sector is generating petabytes of data daily from diverse sources which needs to be analyzed for gaining meaningful insights. This is driving adoption of AI that can autonomously analyze vast volumes of structured and unstructured data.
Market restraints:
Lack of standardized AI processes: While AI adoption is scaling up in oil and gas industry, lack of standardized processes for developing, testing, deploying and monitoring AI solutions pose challenges. This can impact reliability, security, and transparency of AI systems.
Segment Analysis
The artificial intelligence (AI) in oil and gas market is segmented based on component, technology, application, organization size and region. The component segment includes hardware, software and services. Among these, the software segment dominates the market and is expected to maintain its dominance during the forecast period due to high demand for AI based software for its applications in oil and gas industry. The technology segment includes deep learning, robotic process automation, natural language processing and computer vision. Here, deep learning technology sub segment dominates the market owing to its ability to perform complex operations like predictive analytics, diagnosis, image recognition and pattern recognition. Application-wise, the market is categorized into upstream, midstream and downstream. Among these, the upstream segment accounts for the largest share in the market and would continue its dominance during the forecast period due to rising adoption of AI in oil and gas exploration and production.
Global Analysis
The North America region dominates the global artificial intelligence (AI) in oil and gas market currently due to presence of major players in the region and huge investment in R&D of AI based technologies for oil and gas applications. Europe and Asia Pacific regions are considered as the fastest growing markets. In Europe, Government initiatives and investment in AI technologies are driving the market growth. In Asia Pacific region, rising oil and gas exploration activities along with Government support for digitalization in oil and gas industry are expected to propel the market during the forecast period. The artificial intelligence (AI) in oil and gas market is expected to witness highest growth in Asia Pacific region owing to factors such as increasing exploration & production activities, rising demand for energy due to growing population and industrialization.
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