AI in Oil & Gas Market 2030: Challenges and Future Outlook
The global AI in oil & gas market is poised to achieve a substantial valuation of approximately US$2.9 billion by the close of 2030, showcasing an impressive compound annual growth rate (CAGR) of 16.9% between the years 2023 and 2030.
For More Industry Insights Read: https://www.fairfieldmarketresearch.com/report/ai-inoil-gas-market
In the landscape of oil companies, downtime is a persistent challenge, resulting in the loss of barrels and revenue. Unplanned downtime is especially detrimental, leading to extended periods of unavailability and reduced output. Effective operations are pivotal not only for maintaining the field's health but also for bolstering the producer's bottom line. To navigate these challenges in the evolving business environment, oil & gas companies are embracing digital transformation and leveraging innovative strategies and concepts. Artificial Intelligence (AI) has emerged as a key enabler for optimizing the value chain and attaining these objectives. The primary aims for the oil & gas sector are to cut operating costs and enhance automation levels, both of which can be facilitated by AI technologies.
Key Findings from the Report:
The global AI in oil & gas market is projected to hit the US$2.9 billion mark by 2030.
In 2022, the predictive maintenance segment took the lead with a commanding share of 30.2%. The upstream oil & gas sector commanded over 51.8% of the market value share, while the services segment accounted for 41.4%.
North America stood out with a substantial market value share of more than 38%, while the Asia Pacific market is set to experience the highest CAGR of 17.4%.
The top players in the AI in oil & gas market include Google, IBM, Intel Corporation, Microsoft, and Oracle Corporation.
Driving Factors:
The oil & gas industry is directing investments towards AI for value chain optimization. Industry giants like Shell, Exxon Mobil, BP, Chevron, Total, and Saudi Aramco are harnessing AI technologies to prevent issues and enhance operational efficiency.
Globally, AI investments in the industry constitute 1-2%, with an average 32% RoI achieved over the past year through AI technologies.
The challenges posed by the COVID-19 pandemic underscored the need for agility and resilience in the oil & gas sector, prompting rapid adaptation to changing market dynamics and sustainability goals.
Leveraging AI in Different Sectors:
The global AI in oil & gas market is segmented into upstream, midstream, and downstream sectors. In 2022, the upstream sector held the reins with a share exceeding 52%.
Upstream AI technologies optimize well placements, drilling efficiency, and oilfield performance. Midstream and downstream AI technologies focus on regulating process variables, estimating product flow, demand, pricing, and overall operational efficiency enhancement.
Dominance of AI Service Packages:
The market components encompass hardware, software (deep learning, machine learning, others), and services.
The services segment, holding a substantial 41.4% share by value in 2022, is expected to witness a larger share of technology budgets (14% to 17%) in the next three years.
Service packages, offering a blend of hardware and software, are procured through yearly contracts with oil & gas companies.
Predictive Maintenance Takes the Lead:
The application spectrum includes predictive maintenance, quality control, process optimization, supply chain optimization, physical security and cybersecurity, resource optimization, data management, smart assistant, R&D, and others. In 2022, predictive maintenance emerged at the forefront with a share of 30.2%.
Leveraging advanced analytics such as machine learning and IoT, predictive maintenance proactively assesses asset health to avert downtime.
Growth Prospects by Region:
North America and the Asia Pacific exhibit strong growth potential till 2030.
The US leads AI adoption across various sectors, accounting for approximately 38.2% of the global AI in oil & gas market in 2022.
The Asia Pacific region, led by China, is poised for robust growth. Research from China highlights AI's potential to enhance the safety and efficiency of critical oil refining processes.
Governments in the Middle East and Africa, including the UAE, Saudi Arabia, Qatar, and Egypt, have comprehensive AI plans for the oil & gas sector.
Key Market Players:
Leading players in the global AI in oil & gas market landscape encompass Google, IBM, SAS, Accenture Plc, Baidu, Inc., H2O.ai., Microsoft Corporation, Oracle Corporation, Siemens, Intel Corporation, and GE.
Browse Global AI in Oil & Gas Industry Analysis, Size, Share, Growth, Trends, and Forecast 2023-2030 - (By Application Coverage, By Sector Coverage, By Component Coverage, By Geographical Coverage, Leading Companies): https://www.fairfieldmarketresearch.com/report/ai-in-oil-gas-market
Big Data Analytics in Oil & Gas Market: https://www.fairfieldmarketresearch.com/report/big-data-analytics-in-oil-gas-market
Oil & Gas Analytics Market: https://www.fairfieldmarketresearch.com/report/oil-gasanalytics-market