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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Intelligence (AI) in Oil & Gas Market
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