Computational Storage Market Projected to reach $4.30 billion by 2032, at a CAGR of 29.0%
The computational storage market is projected to reach USD 4.30 billion by 2032 from USD 0.93 billion in 2026, at a CAGR of 29.0% during the forecast period. The primary driver of computational storage is the need to process large volumes of data faster by performing computation directly within the storage device, reducing latency and offloading tasks from the CPU. This enhances overall system performance, especially in data-intensive applications like AI, analytics, and real-time processing.
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Advancements in computational storage are reshaping the business landscape by integrating processing capabilities directly into storage devices, enabling faster data handling and real-time analytics. Additionally, emerging technologies like NVMe-over-Fabrics and AI-accelerated storage, along with data privacy regulations such as GDPR and evolving government guidelines, are influencing how organizations design, deploy, and manage storage solutions.
Software is expected to witness the fastest growth in the computational storage market during the forecast period, driven by increasing demand for intelligent data management and workload acceleration. Advanced software solutions enable seamless integration of compute capabilities within storage devices, optimizing performance and reducing latency. Growing adoption of AI, machine learning, and big data analytics is further fueling the need for sophisticated computational storage software. As organizations prioritize efficiency and real-time processing, software offerings are becoming a key differentiator in this market.
Fixed computational storage accounted for the largest market share in 2025 due to its reliability and high performance in handling data-intensive workloads. Its integration into enterprise and cloud data centers ensured consistent processing and storage efficiency. The widespread adoption of fixed storage solutions in AI, analytics, and database applications further strengthened its market dominance. Additionally, established infrastructure and compatibility with existing systems made fixed computational storage the preferred choice for large-scale deployments.
The US experienced significant growth in the computational storage market, driven by strong adoption of AI, big data analytics, and high-performance computing across industries. Investments in advanced data centers and cloud infrastructure accelerated the deployment of computational storage solutions. Leading technology companies in the region focused on developing innovative hardware-software-integrated offerings to boost market expansion. Government initiatives supporting digital transformation and data-driven technologies further fueled demand. Overall, the US maintained a dominant position in the global computational storage market during this period.
The global computational storage market witnessed robust growth, driven by rising demand for real-time data processing, AI, big data analytics, and high-performance computing across industries. Fixed storage solutions dominated the market, while software offerings are projected to register the fastest growth due to their role in optimizing storage and compute integration. Regions like the US, Europe, and the Asia Pacific contributed significantly, supported by advanced data center infrastructure and government initiatives promoting digital transformation. Technological advancements such as NVMe, AI-accelerated storage, and intelligent data management further fueled market expansion. Moving forward, players can capitalize on these opportunities by developing scalable, AI-optimized solutions, expanding partnerships with cloud and enterprise clients, and innovating software-hardware integration to meet evolving industry demands.
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