Top 50 Companies in Big Data Market Size, Share By Market Cap: Market Research Report (2024–2035)
RELEASE DATE: Jul 2025 Author: Spherical InsightsRequest Free Sample Speak to Analyst
Description
According to a research report published by Spherical Insights & Consulting, The Global Big Data Market Size is projected to Grow from USD 367.22 billion in 2024 to USD 1567.32 billion by 2035, at a CAGR of 14.1% during the forecast period 2025–2035. The growing use of large and varied datasets produced by various business operations is a major driver of this market's growth. This is done in order to achieve benefits like better decision-making processes, better ongoing engagements with various stakeholders, well-defined strategies, and noticeably better customer experiences.
Introduction
Big data refers to extraordinarily huge quantities of unstructured, structured, or semi-structured data that are constantly expanding. These datasets cannot be processed or stored by conventional data management systems. It is challenging for traditionally employed systems to assess and generate help or insights due to the complicated velocity, quantities, and variety connected with these statistics. Over the coming years, there will likely be a growing demand for big data due to a number of factors, including the global scale of many industries with extensive digital footprints, the growing inclination towards the collection, storage, and use of data related to various business dynamics, the growing demand for advanced analytics solutions, and trends like real-time processing.
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Big Data Market Size & Statistics
The Market Size for Big Data was estimated to be worth USD 367.22 Billion in 2024.
The Market Size is Going to Expand at a CAGR of 14.1% between 2025 and 2035.
The Global Big Data Market Size is anticipated to reach USD 1567.32 Billion by 2035.
North America is Expected to Generate the highest demand during the forecast period in The Big Data Market
Europe is Expected to grow the fastest during the forecast period in The Big Data Market.
Regional growth and demand
Europe is expected to grow the fastest during the forecast period in the big data market. The growing demand for big data technology solutions is fueled by the increased investments made by governments and organizations in digital technologies like artificial intelligence (AI), robotics, and others. Businesses stress the value of big data services because they help them gain valuable insights, enhance operations, make data-driven decisions, and spur innovation in the fields of healthcare, business, research, and finance.
North America is expected to generate the highest demand during the forecast period in the big data market. The rise of this regional industry in recent years has been fueled by the growing usage of big data solutions by many important companies across many industries in the region. Additionally, the market is growing as a result of companies investing more in R&D projects to improve operational processes and increase efficiency. The expansion of the North American big data market has also been aided by the existence of numerous businesses in this area providing big data-related services, solutions, and technological support.
Top 10 trends in the Big Data Market
- Growing IoT Networks
- More Approachable Artificial Intelligence
- The Rise of Predictive Analytics
- Cloud Migration of Dark Data
- The Rise of Chief Data Officers
- Quantum Computing
- Smarter and Tighter Cybersecurity
- Open Source Data
- Data Democratization
- Data Ethics
1. Growing IoT Networks
The expansion of Internet of Things (IoT) devices especially with 5G has created a flood of real-time data. From smart cities to healthcare wearables, these networks generate massive volumes of information that require advanced analytics and edge computing to process efficiently. This trend is reshaping industries by enabling faster decision-making and automation.
2. More Approachable Artificial Intelligence
AI is becoming more accessible due to low-code and no-code platforms. Businesses no longer need deep technical expertise to build and deploy AI models. Tools with natural language processing and conversational interfaces are making AI integration smoother, especially for small and medium enterprises. This democratization is accelerating the adoption of AI across various sectors.
3. The Rise of Predictive Analytics
Predictive analytics uses machine learning to forecast future outcomes based on historical data. It’s gaining traction in industries such as finance, healthcare, and retail for applications including fraud detection, patient risk assessment, and inventory planning. As tools become more user-friendly, even non-technical teams can harness predictive models to stay competitive.
4. Cloud Migration of Dark Data
“Dark data” refers to the unused or unstructured data that organizations collect but fail to analyze. Migrating this data to the cloud unlocks its potential by making it easier to access, process, and derive insights. Cloud platforms offer scalability and cost efficiency, transforming previously dormant data into strategic assets.
5. The Rise of Chief Data Officers (CDOs)
As data becomes central to business strategy, the role of the Chief Data Officer is gaining prominence. CDOs oversee data governance, quality, and compliance, ensuring that data is secure and actionable. Their leadership helps organizations align data initiatives with broader goals, making data a core driver of innovation and growth.
Empower your strategic planning:
Stay informed with the latest industry insights and market trends to identify new opportunities and drive growth in the big data market. To explore more in-depth trends, insights, and forecasts, please refer to our detailed report.
Top 25 Companies Leading the Big Data Market
- Oracle
- Microsoft
- IBM
- Accenture
- SAP
- Cloudera
- Amazon Web Services (AWS)
- SAS Institute
- Salesforce
- Teradata
- TCS
- Infosys
- Hewlett Packard Enterprise (HPE)
- Splunk
- Qlik
- VMware
- Informatica
- Wipro
- Alteryx
- Cisco Systems
- Mu Sigma
- Snowflake
- Palantir Technologies
- Databricks
- Oracle
Headquarters - Redwood Shores, California, USA
Oracle is a powerhouse in the big data market, offering scalable solutions that span the entire data lifecycle from ingestion to advanced analytics. Its flagship products, like Oracle Exadata and Big Data Appliance, enable enterprises to manage massive datasets with speed and precision. Oracle’s cloud infrastructure supports real-time processing and predictive modeling, making it ideal for industries seeking data-driven decision-making. With integrated AI and machine learning capabilities, Oracle empowers clients to unlock insights from structured and unstructured data. Its commitment to hybrid deployment models ensures flexibility across sectors. In the Big Data Market, Oracle stands out for its enterprise-grade reliability and innovation.
- Microsoft
Headquarters - Redmond, Washington, USA
Microsoft’s Azure platform is a cornerstone of the big data market, offering robust cloud-based tools for data storage, processing, and analytics. Azure Data Lake, HDInsight, and Synapse Analytics allow organizations to scale operations and derive actionable insights. Microsoft’s integration of open-source frameworks like Hadoop and Spark enhances flexibility, while Power BI simplifies data visualization for non-technical users. Azure Machine Learning brings predictive analytics to the forefront, helping businesses forecast trends and optimize performance. Microsoft’s holistic approach to big data—combining infrastructure, analytics, and visualization—makes it a preferred choice for enterprises navigating complex data ecosystems.
- IBM
Headquarters - Armonk, New York, USA
IBM is a legacy leader in the big data market, known for its deep expertise in analytics and data management. Its BigInsights platform and Cloud Pak for Data offer scalable solutions for processing vast datasets. IBM’s use of open-source technologies like Apache Hadoop and Spark fosters innovation and collaboration. With AI-powered tools and machine learning integration, IBM enables predictive modeling and real-time insights. Its emphasis on data governance and compliance makes it a trusted partner for regulated industries. IBM’s commitment to hybrid cloud and edge computing ensures adaptability, positioning it as a strategic player in the evolving big data landscape.
- Accenture
Headquarters - Dublin, Ireland
Accenture brings consulting excellence to the big data market, helping organizations build data strategies and implement scalable architectures. Its services span data engineering, cloud migration, and advanced analytics tailored to industry-specific needs. Accenture’s focus on data governance and compliance ensures secure and ethical data use. By leveraging platforms like Azure, AWS, and Google Cloud, it delivers flexible solutions across sectors. Accenture’s strength lies in translating complex data into actionable business insights, driving innovation and operational efficiency. As a global leader, it continues to shape the future of big data through strategic partnerships and cutting-edge methodologies.
- SAP
Headquarters - Walldorf, Germany
SAP is a key innovator in the big data market, offering real-time analytics through platforms like SAP HANA and SAP Data Intelligence. These tools enable businesses to manage and analyze large datasets with speed and precision. SAP’s solutions are tailored to industry-specific challenges, from manufacturing to finance. Its cloud-first approach supports scalability and integration across enterprise systems. With built-in AI and machine learning, SAP empowers users to uncover trends and optimize decision-making. The company’s emphasis on data quality, governance, and interoperability makes it a trusted name in digital transformation. SAP continues to redefine big data’s role in enterprise success.
Are you ready to discover more about the big data market?
The report provides an in-depth analysis of the leading companies operating in the global big data market. It includes a comparative assessment based on their product portfolios, business overviews, geographical footprint, strategic initiatives, market segment share, and SWOT analysis. Each company is profiled using a standardized format that includes:
Company Profiles
- Oracle
- Business Overview
- Company Snapshot
- Products Overview
- Company Market Share Analysis
- Company Coverage Portfolio
- Financial Analysis
- Recent Developments
- Merger and Acquisitions
- SWOT Analysis
- Microsoft
- IBM
- Accenture
- SAP
- Cloudera
- Amazon Web Services (AWS)
- SAS Institute
- Salesforce
- Others.
Conclusion
The big data market is undergoing significant expansion, fueled by the growing need for advanced analytics, digital transformation, and real-time decision-making. Key trends such as IoT integration, cloud migration, and more accessible AI are redefining how data is utilized across industries. While North America leads in adoption, Europe is quickly catching up due to strategic investments in digital technologies. With companies like Oracle, Microsoft, and IBM at the forefront, businesses are shifting toward smarter, data-driven strategies that enhance stakeholder engagement, operational efficiency, and customer experience.
About the Spherical Insights & Consulting
Spherical Insights & Consulting is a market research and consulting firm which provides actionable market research study, quantitative forecasting and trends analysis provides forward-looking insight especially designed for decision makers and aids ROI.
Which is catering to different industry such as financial sectors, industrial sectors, government organizations, universities, non-profits and corporations. The company's mission is to work with businesses to achieve business objectives and maintain strategic improvements.
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