According to our (Global Info Research) latest study, the global Computational Storage market size was valued at US$ 741 million in 2025 and is forecast to a readjusted size of US$ 1965 million by 2032 with a CAGR of 14.9% during review period.
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 is a detailed and comprehensive analysis for global Computational Storage market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Computational Storage market size and forecasts, in consumption value ($ Million), 2021-2032
Global Computational Storage market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global Computational Storage market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global Computational Storage market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Computational Storage
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Computational Storage market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Samsung Electronics, ScaleFlux, Intel, Marvell Technology, Arm, Phison Electronics, NETINT Technologies, Pliops, Eideticom, Kalray, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Computational Storage market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Fixed Computational Storage Services (FCSS)
Programmable Computational Storage Services (PCSS)
Market 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
Market 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
Market segment by Application
Data Centers
Smart Security Cameras
Bandwidth-constrained Devices
Other
Market segment by players, this report covers
Samsung Electronics
ScaleFlux
Intel
Marvell Technology
Arm
Phison Electronics
NETINT Technologies
Pliops
Eideticom
Kalray
BittWare
Huawei
DapuStor
Alibaba Cloud
Inspur
Lenovo
Fujitsu
Kioxia
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Computational Storage product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Computational Storage, with revenue, gross margin, and global market share of Computational Storage from 2021 to 2026.
Chapter 3, the Computational Storage competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and Computational Storage market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Computational Storage.
Chapter 13, to describe Computational Storage research findings and conclusion.
Summary:
Get latest Market Research Reports on Computational Storage. Industry analysis & Market Report on Computational Storage is a syndicated market report, published as Global Computational Storage Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Computational Storage market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.