Computational Storage Market to Hit $4.3B by 2032
What happened
The computational storage market is projected to grow from $0.93 billion in 2026 to $4.30 billion by 2032, at a compound annual growth rate of 29.0%. This growth reflects increasing demand for processing data closer to where it is stored, a key architectural pattern for edge computing and efficient AI model deployment. The technology reduces data movement, which can lower latency and improve overall system performance.
Why it matters
- The architecture of computational storage integrates processors like multicore CPUs or FPGAs directly into storage devices, allowing for in-place data processing which reduces data movement and can improve security by keeping sensitive data on-device. - Key market players driving innovation include Intel, AMD, and Samsung, which collectively hold an estimated 40-64% of the market share. Other significant companies include ScaleFlux, Marvell, and the startup Pliops. - North America accounted for the largest market share in 2025 at 41.0%, driven by the high concentration of hyperscale data centers and the presence of major cloud service providers. - The technology is classified into devices like Computational Storage Drives (CSDs), which combine compute and persistent storage, and Computational Storage Processors (CSPs), which provide compute services without storing data themselves. - Real-world applications are emerging in IoT for automotive and aerospace to process large amounts of sensor data, and in healthcare for real-time analysis of medical imaging and patient data. - Venture capital investment in AI-related infrastructure is surging, with global VC funding for AI startups reaching $131.5 billion in 2024, representing a third of all venture investments that year. - Startups in the broader data infrastructure space are attracting significant funding; for example, data platform VAST Data raised $118 million in late 2023, nearly tripling its valuation to $9.1 billion with investors including Nvidia and Dell Technologies Capital. - This trend contrasts with traditional storage architectures where data must constantly move between the storage device and a central CPU for processing, creating latency and I/O bottlenecks.
Key numbers
- The computational storage market is projected to grow from $0.93 billion in 2026 to $4.30 billion by 2032, at a compound annual growth rate of 29.0%.
- Key market players driving innovation include Intel, AMD, and Samsung, which collectively hold an estimated 40-64% of the market share.
- North America accounted for the largest market share in 2025 at 41.0%, driven by the high concentration of hyperscale data centers and the presence of major cloud service providers.
- Venture capital investment in AI-related infrastructure is surging, with global VC funding for AI startups reaching $131.5 billion in 2024, representing a third of all venture investments that year.
Quick answers
What happened in Computational Storage Market to Hit $4.3B by 2032?
The computational storage market is projected to grow from $0.93 billion in 2026 to $4.30 billion by 2032, at a compound annual growth rate of 29.0%. This growth reflects increasing demand for processing data closer to where it is stored, a key architectural pattern for edge computing and efficient AI model deployment. The technology reduces data movement, which can lower latency and improve overall system performance.
Why does Computational Storage Market to Hit $4.3B by 2032 matter?
The architecture of computational storage integrates processors like multicore CPUs or FPGAs directly into storage devices, allowing for in-place data processing which reduces data movement and can improve security by keeping sensitive data on-device. Key market players driving innovation include Intel, AMD, and Samsung, which collectively hold an estimated 40-64% of the market share. Other significant companies include ScaleFlux, Marvell, and the startup Pliops. North America accounted for the largest market share in 2025 at 41.0%, driven by the high concentration of hyperscale data centers and the presence of major cloud service providers. The technology is classified into devices like Computational Storage Drives (CSDs), which combine compute and persistent storage, and Computational Storage Processors (CSPs), which provide compute services without storing data themselves. Real-world applications are emerging in IoT for automotive and aerospace to process large amounts of sensor data, and in healthcare for real-time analysis of medical imaging and patient data. Venture capital investment in AI-related infrastructure is surging, with global VC funding for AI startups reaching $131.5 billion in 2024, representing a third of all venture investments that year. Startups in the broader data infrastructure space are attracting significant funding; for example, data platform VAST Data raised $118 million in late 2023, nearly tripling its valuation to $9.1 billion with investors including Nvidia and Dell Technologies Capital. This trend contrasts with traditional storage architectures where data must constantly move between the storage device and a central CPU for processing, creating latency and I/O bottlenecks.
