Home > Media & Technology > Next Generation Technologies > Analytics and Business Intelligence > Big Data in Oil & Gas Market

Big Data in Oil & Gas Market Size

Report ID: GMI12512
Published Date: Dec 2024
Report Format: PDF

Download Free Sample

Big Data in Oil & Gas Market Size

The global big data in oil & gas market size was valued at USD 2.2 billion in 2024 and is estimated to register a CAGR of 10.3% between 2025 and 2034. The increasing focus on operational efficiency, rising adoption of real-time data analytics, and growing reliance on predictive models are key factors driving the growth of big data analytics in the oil & gas industry. Companies are forming strategic collaborations to enhance technological capabilities and scale market reach.

To get key market trends

Download Free Sample

For instance, in November 2024, in November 2024, Presight, in partnership with ADNOC and Microsoft, introduced ENERGYai to streamline operations across ADNOC’s energy value chain, highlighting the transformative potential of big data in the energy sector.

Big Data in Oil & Gas Market Report Attributes
Report Attribute	Details
Base Year:	2024
Big Data in Oil & Gas Market Size in 2024:	USD 2.2 Billion
Forecast Period:	2025 – 2034
Forecast Period 2025 – 2034 CAGR:	10.3%
2025 – 2034 Value Projection:	USD 6 Billion
Historical Data for:	2021 – 2024
No. of Pages:	165
Tables, Charts & Figures:	190
Segments covered:	Offering, Operation, Analytics, Application, End Use
Growth Drivers:	Increasing adoption of real-time data analytics for operational optimization Rising demand for cost-effective solutions to manage large datasets Significant investments in digital transformation and cloud computing technologies Shift towards improving sustainability and reducing environmental impact through data insights
Pitfalls & Challenges:	Lack of standardization and interoperability across different systems High cost of implementing big data solutions and technology upgrades

Learn more about the key segments shaping this market

Download Free Sample

The deployment of big data analytics is transforming the oil & gas sector by improving resource allocation, minimizing exploration risks, and enhancing decision-making efficiency. These technologies allow operators to extract actionable insights from seismic, operational, and supply chain data, contributing to better reservoir management, production forecasting, and asset optimization.

Additionally, big data and business analytics are playing a crucial role in the expansion of the oil & gas market by enabling organizations to harness the full potential of the massive datasets generated across operations. With the oil & gas industry continuously producing vast amounts of data from exploration, production, drilling, and monitoring activities, the integration of advanced analytics tools allows companies to process and analyze this information in real-time.

By leveraging predictive analytics and machine learning, companies can enhance decision-making, optimize production, improve safety, and reduce operational costs. The overall big data and business analytics market is projected to grow and generate revenue of around USD 850 billion by 2032, with an annual growth rate of over 15%.

Authors: Preeti Wadhwani, Satyam Jaiswal

Frequently Asked Questions (FAQ) :

The market size of big data in oil & gas reached USD 2.2 billion in 2024 and is set to grow at a 10.3% CAGR from 2025 to 2034, driven by the increasing focus on operational efficiency and real-time data analytics.

The seismic data analysis segment is anticipated to register a CAGR of over 8% from 2025 to 2034, led by the adoption of advanced analytics tools for subsurface exploration and improved decision-making in hydrocarbon extraction.

The North America market accounted for 30% of the revenue share in 2024, propelled by the rapid adoption of advanced data analytics tools and substantial investments in digital technologies.

The key players in the industry include Aramco, Cognizant, Emerson Electric, Honeywell, IBM, Palantir Technologies, Schlumberger, Schneider Electric, ScienceSoft, and Yokogawa.