Storage In Big Data Market Global Report 2026

The storage in big data market size has grown rapidly in recent years. It will grow from $49.46 billion in 2025 to $58.34 billion in 2026 at a compound annual growth rate (CAGR) of 18.0%. The growth in the historic period can be attributed to increasing volumes of structured and unstructured data, rising adoption of big data analytics, growing enterprise data generation, increasing demand for scalable storage infrastructure, and rising need for reliable data accessibility.

The storage in big data market size is expected to see rapid growth in the next few years. It will grow to $111.38 billion in 2030 at a compound annual growth rate (CAGR) of 17.5%. The growth in the forecast period can be attributed to growing demand for real-time big data processing, increasing adoption of distributed storage technologies, rising need for secure large-scale data management, growing demand for high-performance data retrieval, and increasing focus on cost-efficient scalable storage solutions. Major trends in the forecast period include increasing adoption of distributed big data storage architectures, growing demand for scalable data storage infrastructure, rising use of hybrid storage environments, increasing adoption of high-availability storage systems, and growing demand for cost-efficient large-scale data management.

The growing adoption of cloud computing is expected to propel the growth of the storage in big data market in the coming years. Cloud computing is the delivery of computing services, including servers, storage, databases, networking, software, and analytics, over the internet to provide faster innovation, flexible resources, and economies of scale. The adoption of cloud computing is increasing due to the rising demand for scalable IT infrastructure that enables organizations to expand computing resources efficiently while reducing operational costs. Cloud computing enables big data storage by providing scalable, flexible, and cost-effective storage solutions that allow organizations to efficiently store, manage, process, and access massive volumes of data through cloud-based infrastructure without the limitations of traditional storage systems. For instance, in June 2026, according to Eurostat, a Luxembourg-based official statistical office of the European Union, compared with 2023, the share of enterprises using paid cloud computing services in the European Union (EU) rose by 7.42 percentage points in 2025. Therefore, the growing adoption of cloud computing is driving the growth of the storage in big data market.

Major companies operating in the storage in big data market are focusing on developing innovative solutions such as AI-powered data storage and retrieval platforms to improve real-time data processing, scalability, data accessibility, and AI-driven decision-making. AI-powered data storage and retrieval platforms are advanced data management systems that integrate artificial intelligence, machine learning models, vector databases, and automated data processing capabilities to efficiently store, organize, analyze, and retrieve large volumes of structured and unstructured data compared with traditional storage architectures. For instance, in October 2024, VAST Data, a US-based AI data platform company, unveiled VAST InsightEngine with NVIDIA, an enterprise AI data engine developed to securely ingest, process, and retrieve files, objects, tables, and streaming data in real time. The platform integrates NVIDIA NIM microservices within the VAST Data Platform to generate semantic embeddings using accelerated computing models and stores vector and graph embeddings in the VAST DataBase within milliseconds of data capture. It enables real-time data processing by automatically creating vector embeddings and knowledge graph relationships as new data enters the system, eliminating traditional batch processing delays. The solution supports trillions of embeddings and exabyte-scale structured and unstructured datasets through a unified namespace, enabling faster AI retrieval, enhanced scalability, and secure enterprise data management. This innovation highlights the increasing adoption of AI-integrated storage solutions to address the growing demand for high-performance big data analytics and generative AI applications.

In June 2024, Databricks Inc., a US-based data and artificial intelligence technology company, agreed to acquire Tabular Inc. for an undisclosed amount. Through this acquisition, Databricks Inc. aimed to strengthen its open lakehouse platform by integrating Tabular Inc.’s data management technologies with the Databricks Delta Lake ecosystem, bringing together the creators of Apache Iceberg and Delta Lake to improve interoperability between open data formats, increase enterprise data accessibility, and accelerate AI and analytics workloads. Tabular Inc. is a US-based data management software company specializing in an open data lakehouse platform built on Apache Iceberg, enabling organizations to manage, store, and analyze large-scale data across cloud environments with enhanced scalability and interoperability.

Major companies operating in the storage in big data market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, Alibaba Group Holding Limited, Dell Technologies Inc., Hitachi Vantara LLC, International Business Machines Corporation, Seagate Technology Holdings plc, Oracle Corporation, Hewlett Packard Enterprise Company, MongoDB Inc., Western Digital Corporation, NetApp Inc., Snowflake Inc., Teradata Corporation, Rubrik Inc., Commvault Systems Inc., Pure Storage Inc., Cohesity Inc., Nutanix Inc., InfluxData Inc., MinIO Inc., Cloudflare Inc.

North America was the dominant region in the storage in big data market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the storage in big data market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the storage in big data market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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