Computational Storage Market Global Report 2026

The computational storage market size has grown exponentially in recent years. It will grow from $6.37 billion in 2025 to $7.84 billion in 2026 at a compound annual growth rate (CAGR) of 23.0%. The growth in the historic period can be attributed to growing enterprise data volumes, increasing demand for rapid data processing, expanding adoption of high-performance computing infrastructure, rising workloads on centralized computing resources, and increasing need for effective data management.

The computational storage market size is expected to see exponential growth in the next few years. It will grow to $17.71 billion in 2030 at a compound annual growth rate (CAGR) of 22.6%. The growth in the forecast period can be attributed to growing demand for real-time data processing capabilities, increasing adoption of data-intensive applications, rising need to optimize infrastructure resources, expanding requirement for storage-level analytics, increasing demand for low-latency computing architectures. Major trends in the forecast period include growing adoption of data processing capabilities within storage devices, rising emphasis on minimizing data movement, increasing preference for low-latency data processing, greater integration of computational capabilities into storage infrastructure, expanding application of storage-level data filtering and compression.

The explosion of enterprise data volumes is expected to propel the growth of the computational storage market going forward. Enterprise data volumes refer to the rapidly increasing amount of structured and unstructured data generated, stored, and processed by organizations through applications, business operations, IoT devices, analytics platforms, and digital services. Enterprise data volumes are increasing due to the growing adoption of digital applications, which generate substantial amounts of structured and unstructured data that require efficient storage, management, and processing solutions. Enterprise data volumes continue to grow exponentially across industries, driving the need for advanced data processing architectures in which Computational Storage enables organizations to overcome traditional storage bottlenecks by bringing computation closer to data, improving performance, reducing data movement, enhancing scalability, and optimizing the efficiency of enterprise workloads. For instance, in March 2024, according to Edge Delta, a US-based software company, the world produced an estimated 120 zettabytes (ZB) of data, equivalent to roughly 337,080 petabytes (PB) per day. With approximately 5.35 billion internet users globally, this indicates that, on average, each user could be generating around 15.87 terabytes (TB) of data every day. Therefore, the explosion of enterprise data volumes is driving the growth of the computational storage market.

Key companies operating in the computational storage market are focusing on developing innovative technologies such as high-speed interface-based computational storage solutions to improve data processing efficiency, reduce latency, optimize storage performance, and support data-intensive workloads including artificial intelligence (AI), databases, and cloud computing applications. High-speed interface-based computational storage solutions are advanced storage technologies that integrate computational capabilities directly into storage devices, enabling data processing at the storage layer instead of transferring large datasets to external processors, thereby reducing data movement, improving response times, and lowering overall infrastructure costs compared with traditional storage architectures. For example, in January 2024, NVM Express, Inc., a US-based non-profit organization, released the NVM Express Computational Storage Feature Specification, an industry-standard framework designed to enable communication between applications and NVMe computational storage devices across compute and storage environments. The specification introduces two key command sets: the Computational Programs Command Set, which enables a host-driven and modular approach for deploying computational programs on storage devices, and the Subsystem Local Memory Command Set, which allows access to memory within an NVMe subsystem through computational programs and NVMe I/O commands. These capabilities enable enterprises and hyperscale data centers to offload compute-intensive operations to storage devices, improving performance for latency-sensitive applications such as AI models, databases, and content delivery networks. This advancement highlights the increasing adoption of standardized computational storage technologies to improve scalability, interoperability, and efficiency in modern data-intensive computing environments.

In January 2023, Microsoft Corporation, a US-based technology company, acquired Fungible Inc. for $190 million. Through this acquisition, Microsoft Corporation sought to strengthen its data center infrastructure capabilities by incorporating Fungible Inc.’s energy-efficient Data Processing Unit (DPU) technologies, supporting enhanced networking and storage performance, greater server efficiency, optimized energy usage, and the development of advanced cloud infrastructure solutions for Microsoft Azure and enterprise customers. Fungible Inc. is a US-based semiconductor and data center technology company specializing in computational storage solutions through its DPU-powered fungible storage cluster.

Major companies operating in the computational storage market are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, NVIDIA Corporation, Intel Corporation, IBM Corporation, Dell Technologies Inc., Hewlett Packard Enterprise Company, Broadcom Inc., Advanced Micro Devices Inc., Western Digital Corporation, Micron Technology Inc., NetApp Inc., Samsung Electronics Co. Ltd., Pure Storage Inc., Seagate Technology Holdings plc, SK hynix Inc., Marvell Technology Inc., KIOXIA Holdings Corporation, ScaleFlux Inc., Eideticom Inc.

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

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

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