Big Data in Oil & Gas Market Size, By Offering, By Operation, By Analytics, By Application, By End Use, Growth Forecast, 2025 – 2034

Big Data in Oil & Gas Market Size

The global big data in oil & gas market was valued at USD 2.2 billion in 2024 and is estimated to register a CAGR of 10.3% between 2025 and 2034. The offshore oil and gas sector has seen advancements such as a shift towards improving operational efficiency, analyzing data as it’s generated, and anticipating customer requirements, all of which have led to an increase in growth lately.
 

Firms have also formed partnerships in order to strengthen technology and widen their market base. This illustrated by how in November 2024 Presight, in collaboration with ADNOC and Microsoft, launched ENERGYai, which seeks to optimize operations throughout the energy value chain at ADNOC, showcasing the impact big data can have in the energy industry.

Big data analytics in the oil and gas sector is an allocation strategy for resources that leads to enhanced decision making by reducing the risks taken during exploration. Operators can utilize this technology to integrate data obtained from operational, supply chain, and seismic activities to derive useful insights which leads to better asset management, reservoir optimization, and forecasting of production capabilities.
 

The oil industry deals with immense amounts of information and data coming from the drilling, exploration, production and monitoring activities, thus depending on abstraction tools for data analytics. With the aid of machine learning and predictive analytics, decision making and production processes get even more optimized thereby enhancing safety and lowering the operating costs incurred. With faster insight generation, business analytics coupled with big data proves extremely valuable to these organizations. It is projected that the entire market of business analytics and big data will reach approximately USD 850 billion by 2032 with a growth rate surpassing 15%.
 

Big Data in Oil & Gas Market Trends

The use of big data analytics in the oil and gas industry is increasing and is leading to huge changes in business operations such as optimization of processes, making decisions in real-time, and better management of resources. As technologies that are based on information evolve, investments and partnerships are on the rise and are fostering the development and implementation of predictive analytics solutions throughout the different segments of the industry.
 

For example, the INCIT announced in November 2023 a global strategic collaboration with Celebal Technologies to pursue the development and launch of XIRI-Analytics. XIRI-Analytics is targeted at assisting transformation efforts at the national and organizational levels. It enables the stakeholders to make important decisions that facilitate digital transformation, promote sustainable manufacturing processes, and enhance ESG performance ratings.
 

The market presents a major opportunity of using big data analytics to lower the risk of exploration, enhance drilling, and reservoir management. Due to increasing pressure to be sustainable and cost effective, big data solutions offer new capabilities to monitor, make predictions, and optimize the use of resources while attempting to mitigate negative impact on the environment. These technologies are extremely critical in the enablement of the industry’s transformation towards more sustainable operations and strict environmental legislation compliance.
 

Integrating separate data sources, making sure the data is of good quality, and the lack of trained workers are just a few of the problems the industry faces. Various components, including oil and gas operations, generate huge datasets from sensors, production metrics, and even seismic surveys. These datasets come in a wide variety of formats and are stored in different system which makes it even harder to analyze and integrate them.
 

Data quality requires equal importance as data that is of poor quality may mislead decision making. In addition, the inadequacy of skilled professionals in industry-specific and data analytical applications results in the slow appropriation of big data technologies which in turn stalls market development.
 

Big Data in Oil & Gas Market Analysis

• Based on analytics, the big data in oil & gas market is divided into descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics and real-time analytics. In 2024, the predictive analytics segment was valued at over USD 400 million.
   
• This growth is due to the fact that predictive models are increasingly being used to improve oil & gas processes for better operational efficiency and downtime management.
   
• Accelerated predictive analytics application in reservoir optimization has led to more production by anticipating production bottlenecks and forecasting trends. The development of the predictive capabilities of tools has enhanced their planning role in drilling by being able to anticipate machinery breakdowns and inefficient bit use optimization. This has demonstrably reduced operational costs as well as improved effective risk management and resource allocation, all of which are critical as oil & gas focus on sustainability and operational excellence.

• Based on application, the big data in oil & gas market is categorized into seismic data analysis, reservoir optimization, drilling optimization, production forecasting, supply chain optimization, exploration risk analysis, and others. The seismic data analysis segment is anticipated to register a CAGR of over 8% from 2025 to 2034.
   
• The growth of this segment is mainly attributed to the use of more sophisticated analytics tools for decision making in subsurface exploration and hydrocarbon extraction that have increased in number and use.
   
• This harnessing of big data greatly enhances the analytics of seismic data and there is paramount information on how geophysical data is handled for estimating reservoirs. Developments in machine learning and predictive modeling have ensured that there is optimized planning for seismic surveys and that there are lower exploration costs and reduced environmental degradation.
   
• Such advancements are proving crucial in addressing the balance between the industry's growing desire to cut down exploration risks and maximizing the return on investment versus ensuring that there are sustainable operations.

• North America dominated the global big data in oil & gas market with a major share of over 30% in 2024. The market in the USA that focuses on big data analytics on oil and gas is expanding on a large scale fueled by the widespread integration of new-age data analytics tools for enhanced operational output and decision-making capacity.
   
• The existing energy industry in the country, together with the significant investment in digital technologies, is speeding up the integration of big data in all areas of exploration, production, and refinery activities. A shift in the focus to data-driven applications like predictive maintenance and production forecasting indicates the attempt within the industry to cut down operational costs while improving the sustainability of the processes.
   
• In Europe, the growth of big data in oil & gas market is driven by new opportunities in conjunction with stringent environmental laws and the region’s focus on sustainable energy transition. The integration of big data technologies into offshore operations is improving the safety and productivity of exploration and production activities.
   
•  Analysis and modeling for reservoir management and optimization and UCSCM for risk and environmental mitigation is increasingly being done.
   
• The market for big data analytics in oil and gas has shown tremendous growth in the Asia Pacific region as countries like China, India, Australia, and Japan are investing heavily in energy infrastructure due to increased energy usage. The region’s oil and gas industry is witnessing increased use of big data for reservoir management, drilling, and production activities.
   
• A combination of quick industrialization, improving technology, and proactive government policies is driving the market. There is also increasing adoption of IoT and big data Analytics which enhance operational performance, safety, and offset operational resource constraints and risks.
   

Big Data in Oil & Gas Market Share

• Schlumberger, Aramco, Palantir Technologies hold a significant market share of over 13% in big data in oil & gas industry. Now, these major companies are using machine learning algorithms next to predictive analytics and real time data processing to achieve more accurate insights. These companies are seeking to improve business productivity, cost efficiency and the oil and gas operations management which are more complex today. Therefore, there is targeting of innovation as well as specialized solutions.
   
• Along the same lines, there is a growth in the cooperation between players such as Schlumberger or Palantir Technologies and clients in both the technology and the energy industries in an effort to consolidate their competitive positions and boost the pace of big data solution deployment. Such partnerships are concentrated on the implementation of powerful data mining instruments for improving production processes, reservoir performance, and operational risk management. With specialized digital tools, these leaders are providing the industry with solutions to improve real-time surveillance, maintenance, and decision-making in the oil & gas sector.
   

Big Data in Oil & Gas Market Companies

Major players operating in the big data in oil & gas industry include:

• Aramco
• Cognizant
• Emerson Electric
• Honeywell
• IBM
• Palantir Technologies
• Schlumberger
• Schneider Electric
• ScienceSoft
• Yokogawa

Big data analytics and AI are at the forefront as the Oil and Gas industry witnesses gradual changes in its exploration, production and operational activities. The value provided by these new solutions also comes from the platforms built for real-time processing of data and predictive analytics, which enable informed decision-making and result in minimal downtime.
 

Market actors are also focusing on establishing new partnerships and collaborations with the cloud providers to offer vertical and context-driven data solutions for the Oil and Gas sector. In the face of growing environmental worries and cost limitations, these players are building analytical tools that aim to improve energy consumption, monitor emissions and enhance compliance with regulatory mandates. A great deal of effort goes into the design and work processes as these systems need customization and integration with existing infrastructure.
 

Big Data in Oil & Gas Industry News

• In September 2024, Maqta Gateway signed a partnering agreement with Presight AI Technologies LLC to co-develop cutting-edge AI-driven digital solutions for trade and logistics. This partnership aims to foster local innovation and enhance global competitiveness by combining Maqta Gateway’s decade-long expertise in trade digitalization with Presight’s proficiency in big data and AI.
   
• In May 2024, ADNOC, G42, and Presight AI Holding PLC announced an ownership structure for AIQ. Under the agreement, Presight acquired a 51% stake in AIQ, with ADNOC retaining 49%. AIQ will operate as an independent company, leveraging advanced AI and big data analytics to deliver transformative solutions for the energy sector. The transaction is subject to approval from Presight’s shareholders and regulatory authorities.
   

The big data in oil & gas market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue ($Bn) from 2021 to 2034, for the following segments:

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Market, By Offering

• Platform
• Service

Market, By Operation

• Upstream
• Midstream
• Downstream

Market, By Analytics

• Descriptive analytics
• Diagnostic analytics
• Predictive analytics
• Prescriptive analytics
• Real-time analytics

Market, By Application

• Seismic data analysis
• Reservoir optimization
• Drilling optimization
• Production forecasting
• Supply chain optimization
• Exploration risk analysis
• Others

Market, By End Use

• National Oil Companies (NOCs)
• Independent Oil Companies (IOCs)

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Southeast Asia 
• Latin America
  • Brazil
  • Mexico
  • Argentina 
• MEA
  • UAE
  • South Africa
  • Saudi Arabia