AI in Oil and Gas Market to Reach $7.99 Billion By 2031: A Game-Changer for Sustainable Energy Production

On the basis of operation, the upstream segment dominated the AI in oil and gas market in 2021, and is expected to maintain the dominance in the upcoming years. It includes searching for potential underground or underwater crude oil and natural gas fields, drilling exploratory wells, and subsequently drilling and operating the wells used to lift the crude oil or raw natural gas to the surface. However, the midstream is expected to witness the highest growth rate during the AI in Oil and Gas Market Forecast period, midstream activities include the storage, processing, and transportation of petroleum products. These may include companies that specialize in operating tanker ships, pipelines, or storage facilities.

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The global AI in Oil and Gas Industry is influenced by a number of factors, including fault detection and quality improvement, reduce production and maintenance cost, and ensure safety and security standards primarily drive the growth of the global AI in oil and gas market. However, dramatic reduction in fossil fuel demand and high output of carbon dioxide (CO₂) and other potent greenhouse gases may hamper the market growth to some extent.

KEY FINDINGS OF THE STUDY:

► On the basis of component, in 2021, the solution segment dominated the AI in oil and gas market size. However, the services segment is expected to exhibit significant growth during the forecast period.

► Depending on operation, the upstream segment generated highest revenue in 2021. However, the midstream segment is expected to be the fastest growing segment.

► On the basis of region, North America dominated the market in 2021. However, Asia-Pacific is expected to witness significant growth in the upcoming years.

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On the basis of component, the solution segment is the largest segment of AI in Oil and Gas Industry, and is projected to keep its hold on the market in the next years. Moreover, Solution providers offer a wide range of solutions that are applicable in quality control, production planning, predictive maintenance, and fleet management with more efficiently. Oil and gas companies are using AI in data science to use more complex data in the production and exploration process and help identify more exploration options from the existing resources and offshore infrastructure.

Moreover, the oil and gas industry is one of the most valued industry in the energy sector and increasing adoption of advanced technologies drives the demand for AI-based solutions in the industry for different business operation.

Post COVID-19, the AI in oil and gas market size is estimated to grow from $2,324.6 million in 2021, and is projected to reach $7,991.2 million by 2031, registering a CAGR of 13.5%. The COVID-19 outbreak has high impact on the growth of Artificial Intelligence in Oil and Gas Market, as the adoption of AI in oil and gas has increased owing to unprecedented circumstances like the pandemic.

This crisis had many direct and indirect effects on all areas of society. In the meantime, the digital and artificial intelligence industry can be used as a professional assistant to manage and control the outbreak of the virus. The oil and gas sector is anticipating weaker demand and consequently lower crude prices as a result of the global health crisis, geopolitical difficulties that are causing surplus production, and certain significant industrial developments.

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Key Market Players:

► C3.AI

► Cloudera

► FuGenX Technologies Pvt. Ltd, Inc.

► Google. Llc

► General Vision

► Hortonworks

► Infosys Limited

► International Business Machine Corporation (IBM)

► Intel Corporation

► Microsoft Corporation

► Inbenta

► NVIDIA Corporation

► NeuDax

► Oracle Corporation

► Numenta

► Shell Plc.

► Sentient technologies.

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