Computational Storage Market Outlook Report Including Segment Analysis and Strategic Industry Insights
The Business Research Company’s Computational Storage Global Market Report 2026 – Market Size, Trends, And Forecast
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The Business Research Company’s Computational Storage Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035
LONDON, GREATER LONDON, UNITED KINGDOM, October 19, 2026 /EINPresswire.com/ — The computational storage market is undergoing rapid expansion as businesses and industries seek more efficient ways to manage and process vast amounts of data. This emerging technology blends computing power with storage systems to enhance performance and reduce delays, driving significant interest across global markets. Let’s explore the current market size, growth drivers, regional leadership, and future trends shaping this sector.
Computational Storage Market Size and Growth Outlook
The computational storage market has experienced remarkable growth, increasing from $6.37 billion in 2025 to an expected $7.84 billion in 2026, representing a compound annual growth rate (CAGR) of 23.0%. This impressive rise is largely fueled by surging enterprise data volumes, the need for faster data processing capabilities, widespread adoption of high-performance computing infrastructures, escalating workloads on centralized systems, and the demand for more efficient data management solutions.
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Looking ahead, the computational storage market is projected to expand even more rapidly, reaching $17.71 billion by 2030 with a CAGR of 22.6%. Driving factors for this forecast include a growing emphasis on real-time data processing, increasing deployment of data-heavy applications, the necessity to optimize infrastructure resources, burgeoning interest in storage-level analytics, and a rise in demand for low-latency computing architectures. Key trends during this period include embedding computational power within storage devices, reducing data movement, favoring low-latency processing, integrating computing capabilities directly into storage infrastructures, and expanding the use of data filtering and compression at the storage level.
Understanding Computational Storage and Its Benefits
Computational storage is a data storage approach that incorporates processing functionality directly inside storage devices or systems. By enabling data to be processed close to where it is stored, it minimizes data transfer delays, boosts processing speed, and optimizes resource utilization. Tasks such as filtering, compression, encryption, and analytics are handled within the storage layer, easing the burden on centralized computing resources and enhancing overall system performance.
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This architectural innovation supports more effective data management by alleviating pressure on core computing systems and improving infrastructure efficiency, which is essential as data volumes continue to grow exponentially across multiple industries.
Primary Drivers Behind the Growing Demand for Computational Storage
One of the main factors accelerating the computational storage market is the explosive increase in enterprise data volumes. Organizations are generating and handling vast amounts of both structured and unstructured data from various sources such as applications, business operations, Internet of Things (IoT) devices, analytics platforms, and digital services. The rapid adoption of digital technologies fuels this data surge, creating a critical need for storage and processing solutions that can keep pace.
Computational storage addresses these challenges by moving computation closer to the data, thereby overcoming traditional storage bottlenecks. This results in improved performance, reduced data movement, better scalability, and more efficient management of enterprise workloads. To illustrate, in March 2024, US-based software company Edge Delta reported that the world generated approximately 120 zettabytes (ZB) of data, equal to around 337,080 petabytes (PB) daily. With about 5.35 billion internet users globally, this translates to an average of 15.87 terabytes (TB) of data being produced by each user every day. Such staggering data growth underscores why computational storage solutions are in high demand.
Regional Leadership and Growth in the Computational Storage Market
North America held the largest share of the computational storage market in 2025, supported by its advanced technological infrastructure and early adoption of innovative data solutions. Meanwhile, the Asia-Pacific region is predicted to be the fastest-growing market during the forecast period, driven by rapid digital transformation, expanding enterprise IT investments, and increased reliance on data-intensive applications.
The comprehensive market analysis also includes other key regions such as South East Asia, Western Europe, Eastern Europe, South America, the Middle East, and Africa, providing a global perspective on the competitive and evolving landscape of computational storage.
What’s included in our 2026 market reports:
• Market attractiveness scoring and analysis
• Total addressable market (TAM) analysis
• Company scoring matrix graphics and tables
• Excel-based forecasting dashboards
• Market hotspots infographics
• Key technologies and future trend analysis
• Updated graphics and tables
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