AI in Oil and Gas Market Top Companies Analysis To Growing at CAGR of 13.5% by 2031

Benefits such as excellent fault detection and quality improvement, reduction in costs related to production and maintenance, and enhanced safety and security standards drive the growth of global AI in the oil and gas market. However, a significant reduction in demand for fossil fuels and high emissions of carbon dioxide (CO₂) and other greenhouse gases restrain the market growth.

On the other hand, the high rate of adoption of AI technologies across the oilfield operators and service providers and the rise in investments by government and private organizations create new opportunities in the coming years.

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Based on components, the solution segment accounted for the largest market share in 2021, contributing to more than three-fourths of the global AI in the oil and gas market, and is projected to maintain its lead position during the forecast period. This is due to the availability of a wide range of solutions that are applicable in quality control, predictive maintenance, production planning, and efficient fleet management.

However, the services segment is estimated to witness the largest CAGR of 15.4% from 2022 to 2031, owing to smooth end-to-end user experiences and utilization of AI in oil and gas services to enable users to accomplish their goals without needing to navigate to multiple sites.

Based on operation, the upstream segment contributed to the highest market share in 2021, accounting for nearly three-fifths of the global AI in oil and gas industry, and is expected to maintain its dominant share during the forecast period. This is due to usage in searching for potential underground or underwater crude oil and natural gas fields, drilling of exploratory wells, and drilling & operating the wells to lift the crude oil or raw natural gas to the surface.

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However, the midstream segment is projected to manifest the fastest CAGR of 14.6% from 2022 to 2031, owing to utilization in activities such as storage, processing, and transportation of petroleum products and specialization in operating pipelines, tanker ships, or storage facilities. The research also analyzes the downstream segment.

Based on region, North America held the largest market share in 2021, accounting for around two-fifths of the global AI in oil and gas market, and is expected to maintain its lead status by 2031. This is due to high rate of AI technology adoption across the oilfield operators and service providers, presence of leading AI software and system suppliers, and rise in R&D activities.

However, Asia-Pacific is projected to register the fastest CAGR of 15.2% from 2022 to 2031, owing to measures taken to fulfill the rise in demand for fuel with increase in passenger cars in the region. The research also analyzes regions including Europe and LAMEA.

Some of the key data center automation industry players profiled in the report include 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. This study includes AI in oil and gas market share, trends, AI in oil and gas market analysis, and future estimations to determine the imminent investment pockets.

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Covid-19 Scenario

  • The Covid-19 pandemic led to a decline in demand in the oil and gas industry. As per the statistics published by the International Energy Agency, the oil demand reduced by nearly 29 million barrels per day during April 2020. Moreover, it further declined by 23.1 million barrels per day by the second quarter of 2020. However, the implementation of AI in the oil and gas sector surged considerably during the period.
  • Many oil & gas activities such as drilling, extraction, and others were stopped completely or partially due to the lockdown. The lack of availability of sufficient workforce affected daily activities. However, the implementation of advanced technologies such as AI increased for carrying out various operations such as predicting the outcomes of mining operations.
  • Many government authorities and private organizations postponed their investments in R&D activities with the occurrence of economic uncertainty. Post-pandemic, the market is estimated to stabilize and investments would increase steadily.

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