Global Computational Storage Market Strategic Research Report

Scope of the Report

The global Computational Storage market size is predicted to grow from US$ 704 million in 2025 to US$ 1,960 million in 2032; it is expected to grow at a CAGR of 15.9% from 2026 to 2032.

Computational storage involves deploying computing capabilities directly onto storage devices or in close proximity to data. This enables tasks such as filtering, compression, encryption, retrieval, and analysis to be performed within solid-state drives (SSDs), storage controllers, or storage nodes. By minimizing data movement between storage and processors, this approach reduces latency, bandwidth consumption, and energy usage, making it suitable for applications in artificial intelligence, big data, databases, and edge computing.

The upstream sector primarily comprises suppliers of NAND flash memory, DRAM, processors, FPGAs, storage controllers, interface chips, firmware, and development tools. Downstream applications span cloud computing centers, internet enterprises, the financial and telecommunications sectors, scientific research, intelligent manufacturing, autonomous driving, medical imaging, and edge computing environments.

The global computational storage market is transitioning from the proof-of-concept stage to large-scale deployment. The continuous growth of data generated by AI training and inference, real-time databases, video analytics, and edge devices is driving enterprises to offload certain computing tasks to the storage layer. Future products will increasingly utilize programmable processors, FPGAs, dedicated accelerators, and architectures that facilitate synergy between storage and computing, while enhancing compatibility with NVMe, CXL, containers, and mainstream cloud platforms. As software ecosystems, programming interfaces, and industry standards mature, the complexity of deploying computational storage is expected to decrease. Market competition will shift from a focus on raw hardware performance to comprehensive capabilities encompassing hardware, software, algorithms, and application solutions; meanwhile, low power consumption, data security, heterogeneous computing, and open standards will emerge as key areas of development.

This report presents a comprehensive overview of the global Computational Storage market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• Fixed Computational Storage Services (FCSS)
• Programmable Computational Storage Services (PCSS)

Segment by Processing Architecture

• FPGA-Based Computational Storage
• ASIC-Based Computational Storage
• CPU-Based Computational Storage
• GPU-Based Computational Storage
• DPU-Based Computational Storage
• SoC-Based Computational Storage

Segment by Storage Medium

• NAND Flash-Based Computational Storage
• SSD-Based Computational Storage
• HDD-Based Computational Storage
• Persistent Memory-Based Computational Storage
• Hybrid Storage-Based Computational Storage

Segment by Application

• Data Centers
• Smart Security Cameras
• Bandwidth-constrained Devices
• Other

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Computational Storage market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Data Centers, Smart Security Cameras, Bandwidth-constrained Devices evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact