GITNUX MARKETDATA REPORT 2024

AI In The Oil And Gas Industry Statistics

Utilizing AI in the oil and gas industry statistics can optimize exploration, production, and maintenance processes for improved efficiency and decision-making.

Highlights: Ai In The Oil And Gas Industry Statistics

  • By 2025, big data in the oil and gas sector is anticipated to reach over USD 10.9 billion, largely due to the rise in AI applications.
  • The use of AI in the oil and gas industry is expected to save $50 billion of capital expenditure and reduce drilled but uncompleted wells by 20% by 2023.
  • Approximately 73% of respondents in a survey believe that AI can raise productivity in the oil and gas industry.
  • The annual growth rate for advanced analytics and AI in upstream oil and gas operations is projected to be 16.6% from 2021 to 2026.
  • The adoption of AI has helped the oil and gas industry reduce operational costs by nearly 18%.
  • Nearly 20% of oil and gas companies have piloted or rolled out AI technology solutions to optimize production.
  • More than 40% of energy companies surveyed believe that AI will be a major driving force in their industry by 2023.
  • By 2024, AI in oil and gas is predicted to have a market value of $3.81 billion.
  • 77% of oil and gas organizations globally are increasing their investments in AI.
  • The global market for AI in the oil and gas industry grew by 12.14% from 2019 to 2020.
  • Around 62% of senior executives from upstream oil and gas companies are actively implementing AI in their operations.
  • The AI in the oil and gas market was worth $2 billion in 2020 and is expected to reach $3.81 billion by 2024.
  • Nearly 22% of oil and gas companies plan to implement AI-integrated robots within the next three years.
  • By using AI and data analytics, oil and gas companies can increase their production by up to 8%.
  • The Middle East's investment in AI applications in the oil and gas industry is expected to reach $2.85 billion by 2022.
  • The Oil & Gas industry can unlock approximately $1.6 to $2.5 trillion of value by adopting digital technologies and data analytics, including AI.
  • About 45% of AI implementations in the oil and gas industry are related to predicting equipment failures.

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The Latest Ai In The Oil And Gas Industry Statistics Explained

By 2025, big data in the oil and gas sector is anticipated to reach over USD 10.9 billion, largely due to the rise in AI applications.

The statistic indicates that the big data market within the oil and gas industry is projected to grow substantially by 2025, with an estimated value exceeding USD 10.9 billion. This rapid growth is primarily attributed to the increasing utilization of artificial intelligence (AI) applications within the sector. AI technologies have proven to be highly beneficial for the oil and gas industry, enabling companies to efficiently analyze vast amounts of data to streamline operations, improve decision-making processes, enhance safety measures, and identify new opportunities for exploration and production. As the industry continues to embrace data-driven technologies like AI, it is expected that the market for big data solutions will experience significant expansion in the coming years.

The use of AI in the oil and gas industry is expected to save $50 billion of capital expenditure and reduce drilled but uncompleted wells by 20% by 2023.

The statistic suggests that the integration of artificial intelligence (AI) in the oil and gas industry is anticipated to result in significant cost savings and operational efficiency improvements by the year 2023. Specifically, it predicts that the adoption of AI technologies will lead to $50 billion in savings in capital expenditure for companies within the industry. Additionally, there is an expected 20% reduction in the number of drilled but uncompleted wells, indicating that AI applications will help optimize drilling processes and enhance decision-making capabilities. Overall, these projections highlight the transformative impact of AI on the oil and gas sector, driving improvements in both financial performance and operational outcomes.

Approximately 73% of respondents in a survey believe that AI can raise productivity in the oil and gas industry.

The statistic that approximately 73% of respondents in a survey believe that AI can raise productivity in the oil and gas industry suggests a strong consensus among participants regarding the potential benefits of artificial intelligence in this sector. This high percentage indicates a majority viewpoint that integrating AI technologies has the capacity to enhance productivity within the oil and gas industry. Such a positive perception may be driven by expectations of increased efficiency, cost savings, and improved decision-making capabilities that AI can offer. The result showcases a prevalent optimism towards leveraging advanced technologies like AI to drive innovation and optimize operations in the oil and gas sector.

The annual growth rate for advanced analytics and AI in upstream oil and gas operations is projected to be 16.6% from 2021 to 2026.

The annual growth rate of 16.6% for advanced analytics and artificial intelligence (AI) in upstream oil and gas operations from 2021 to 2026 indicates a significant upward trend in the adoption and implementation of these technologies in the industry. This statistic suggests that companies in the upstream oil and gas sector are increasingly recognizing the value of leveraging advanced analytics and AI for improving operational efficiency, optimizing production processes, and reducing costs. The projected growth rate also indicates a growing demand for data-driven insights and automation in this sector, highlighting the potential for transformative changes in how oil and gas companies operate over the next few years.

The adoption of AI has helped the oil and gas industry reduce operational costs by nearly 18%.

The statistic indicates that the implementation of artificial intelligence (AI) technology within the oil and gas industry has led to a substantial reduction in operational costs, with a nearly 18% decrease observed. This reduction suggests that AI applications, such as predictive maintenance, data analytics, and autonomous operations, have enabled the industry to optimize processes, improve efficiency, and better manage resources. By leveraging AI tools to streamline operations, identify inefficiencies, and make data-driven decisions, oil and gas companies can achieve significant cost savings while enhancing productivity and competitiveness in a challenging market environment.

Nearly 20% of oil and gas companies have piloted or rolled out AI technology solutions to optimize production.

The statistic ‘Nearly 20% of oil and gas companies have piloted or rolled out AI technology solutions to optimize production’ indicates that a sizeable portion of companies within the oil and gas industry are beginning to adopt artificial intelligence (AI) technology to improve their production processes. This suggests a growing trend towards utilizing advanced technologies to enhance efficiency, reduce costs, and increase overall productivity in the sector. The fact that a significant minority of companies have already implemented AI solutions reflects a recognition within the industry of the potential benefits that such technology can offer in optimizing operations and staying competitive in an increasingly data-driven and rapidly evolving marketplace.

More than 40% of energy companies surveyed believe that AI will be a major driving force in their industry by 2023.

The statistic suggests that a significant portion (more than 40%) of energy companies, as identified through a survey, anticipate artificial intelligence (AI) to play a crucial role as a major driving force within their industry by the year 2023. This indicates a notable recognition within the energy sector of the transformative potential of AI technologies in enhancing operational efficiency, decision-making processes, and overall competitiveness. The expectation of AI being a major driving force underscores a shift towards embracing technological advancements to navigate the evolving landscape of the energy industry, signaling a trend towards increased adoption and integration of AI solutions in the near future.

By 2024, AI in oil and gas is predicted to have a market value of $3.81 billion.

This statistic indicates that the market for artificial intelligence (AI) technology in the oil and gas industry is expected to reach a value of $3.81 billion by the year 2024. This forecast suggests a significant growth and adoption of AI solutions within the sector as companies seek to leverage advanced analytics, machine learning, and automation to optimize operations, improve efficiency, reduce costs, and enhance decision-making processes. The increasing reliance on AI technologies in oil and gas is likely driven by the industry’s drive for digital transformation, the need to extract value from vast amounts of data generated in exploration and production activities, and the potential for AI to drive innovation and competitiveness within the sector.

77% of oil and gas organizations globally are increasing their investments in AI.

The statistic indicating that 77% of oil and gas organizations worldwide are increasing their investments in artificial intelligence (AI) suggests a significant trend within the industry towards embracing advanced technology to enhance operations and decision-making processes. This high percentage reflects a growing recognition of the potential benefits that AI can offer in terms of optimizing exploration and production activities, improving safety measures, and increasing overall efficiency. By allocating more resources towards AI initiatives, these organizations aim to stay competitive, increase productivity, and adapt to the rapidly evolving landscape of the oil and gas sector, highlighting a shift towards leveraging data-driven solutions for sustainable growth and innovation.

The global market for AI in the oil and gas industry grew by 12.14% from 2019 to 2020.

The statistic that the global market for artificial intelligence (AI) in the oil and gas industry grew by 12.14% from 2019 to 2020 indicates a significant increase in the adoption and implementation of AI technology within the sector during that period. This growth suggests that oil and gas companies are increasingly recognizing the potential benefits of leveraging AI for various applications such as predictive maintenance, data analysis, and optimizing operations. The double-digit percentage increase signifies a notable expansion in investment and utilization of AI solutions within the industry, emphasizing the trend towards digital transformation and innovation as key priorities for companies seeking to enhance efficiency, reduce costs, and improve decision-making processes in the evolving landscape of the energy sector.

Around 62% of senior executives from upstream oil and gas companies are actively implementing AI in their operations.

The statistic stating that around 62% of senior executives from upstream oil and gas companies are actively implementing artificial intelligence (AI) in their operations indicates a notable trend towards the adoption of advanced technologies in the industry. The use of AI in this sector is likely driven by the potential benefits it offers in terms of optimizing processes, reducing costs, and improving decision-making. The high percentage of executives actively implementing AI suggests a widespread recognition of the importance of innovation and digital transformation in staying competitive and efficient within the upstream oil and gas sector. This statistic signals a shift towards a more tech-savvy and data-driven approach among industry leaders, aiming to leverage AI to enhance operational effectiveness and drive strategic growth.

The AI in the oil and gas market was worth $2 billion in 2020 and is expected to reach $3.81 billion by 2024.

The statistic provided indicates the market value of artificial intelligence (AI) in the oil and gas sector, which was $2 billion in 2020. It is projected that this market value is estimated to increase to $3.81 billion by the year 2024. This growth suggests a significant rise in the adoption and utilization of AI technologies within the oil and gas industry over the specified period. The increasing investment in AI reflects the industry’s recognition of the value and benefits that these technologies can bring, such as improved operational efficiency, enhanced decision-making processes, and cost savings. The forecasted growth also highlights the industry’s focus on leveraging AI to address various challenges and drive innovation within the oil and gas sector.

Nearly 22% of oil and gas companies plan to implement AI-integrated robots within the next three years.

The statistic that nearly 22% of oil and gas companies plan to implement AI-integrated robots within the next three years indicates a growing trend towards the adoption of advanced technologies in the industry. This suggests that a significant portion of companies operating in the oil and gas sector see the potential benefits of incorporating artificial intelligence and robotics into their operations to improve efficiency, accuracy, and safety. The planned implementation of AI-integrated robots also highlights a shift towards automation and digital transformation within the industry, as companies seek to stay competitive in an increasingly technology-driven market.

By using AI and data analytics, oil and gas companies can increase their production by up to 8%.

The statistic suggests that oil and gas companies have the potential to enhance their production levels by up to 8% through the adoption of artificial intelligence (AI) and data analytics technologies. By leveraging these advanced tools, companies in the oil and gas sector can optimize their operations, make informed decisions based on real-time data insights, and streamline their processes efficiently. AI and data analytics enable companies to analyze large volumes of data quickly and accurately, identify patterns and trends, predict equipment failures, optimize drilling processes, and improve overall operational efficiency. Ultimately, the integration of AI and data analytics can help oil and gas companies maximize their production output, reduce downtime, and ultimately increase profitability.

The Middle East’s investment in AI applications in the oil and gas industry is expected to reach $2.85 billion by 2022.

The statistic indicates that the Middle East’s investment in artificial intelligence (AI) applications within the oil and gas industry is projected to grow significantly, reaching $2.85 billion by the year 2022. This substantial investment highlights the region’s increasing adoption of AI technologies to enhance operational efficiency, boost production capabilities, and drive innovation within the oil and gas sector. The anticipated financial commitment underscores the strategic importance placed on leveraging AI to optimize decision-making processes, minimize costs, and improve overall performance in a key industry for the Middle East.

The Oil & Gas industry can unlock approximately $1.6 to $2.5 trillion of value by adopting digital technologies and data analytics, including AI.

This statistic highlights the potential for significant value creation within the Oil & Gas industry through the adoption of digital technologies and data analytics, including artificial intelligence (AI). By leveraging these advanced technologies, the industry has the opportunity to unlock approximately $1.6 to $2.5 trillion in value. This value can be realized through enhanced operational efficiency, improved decision-making processes, cost savings, and the optimization of existing assets and processes. Embracing digital transformation and harnessing the power of data-driven insights can drive innovation, increase competitiveness, and pave the way for sustainable growth and success in the Oil & Gas sector.

About 45% of AI implementations in the oil and gas industry are related to predicting equipment failures.

The statistic “About 45% of AI implementations in the oil and gas industry are related to predicting equipment failures” suggests that a significant portion of artificial intelligence applications within this sector are focused on leveraging predictive analytics to anticipate and prevent breakdowns in machinery and infrastructure. By utilizing AI technologies such as machine learning algorithms and predictive maintenance models, companies in the oil and gas industry are able to forecast potential equipment failures before they occur, thereby reducing downtime, minimizing maintenance costs, and improving overall operational efficiency. This strategic use of AI highlights the industry’s growing emphasis on proactive maintenance strategies and the adoption of innovative technology to optimize asset performance and ensure smooth operations within this critical sector.

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How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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