The computational storage market is a rapidly growing segment within the broader data storage industry. This market focuses on integrating compute capabilities directly into storage devices, enabling data processing to be performed closer to where the data resides. This approach reduces data movement, improves performance, and enhances efficiency for a variety of applications, from big data analytics to artificial intelligence and machine learning.
By Type, Fixed Computational Storage Services (FCSS) segment is projected to account for a high share of the Computational Storage market from 2022 to 2027.
The market share held by Fixed Computational Storage Services (FCSS) segment is anticipated to be high as compared to its counterpart. FCSS are designed for distinct data-and-compute-intense tasks such as data encryption or compression. FCSS offers better performance and is more cost-effective, hence, many companies are inclined towards working on organic strategies for FCC development and product placement in the market. Key technology development happening in the market are related to accelerating storage layer features to move computing to storage, thereby reducing data bottlenecks while processing.
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Cloud Services Provider Segment is a high growth market
The demand for computing storage has rapidly increased with the emergence of cloud platforms – from traditional private and new public clouds to personal clouds in homes. The demand for cloud service providers is driven by factors such as increased adoption of hybrid cloud storage; sizable growth of Internet of Things (IoT); growing need for enterprise mobility for enhanced efficiency; and the need to reduce operational expenditure (OPEX) and capital expenditure (CapEx).
North America region is expected to hold the largest share of the market during the forecast period.
The increasing volume of unstructured data across various sectors and the emergence of newer and frequent technology development have led to increasing demand for secure, reliable, and cost-effective solutions in North America. For instance, advent of online shopping in retail; adoption of telemedicine and patient analytics in healthcare; data sharing in media and entertainment; adoption of robotic process automation (RPA) and machine learning (ML) in manufacturing; digitalization and big data analytics with cloud migration in government and telecommunications sectors generates volume of data. Processing such a set of data sometimes becomes challenging to manage. To pace up the data processing, computational storage is required, which offers in-storage computing. This manages the data processing at storage front and frees up the CPU for other priority tasks.
Key Market Players
The key players operating in the Computational Storage market are Arm Limited (UK), IBM (US), Intel Corporation (US), Microsoft Corporation (US), ScaleFlux (US), Nvidia (US), NetApp (US), Pilops (US), and AMD (US), among others.
Recent Developments
• In August 2022, SK Hynix and Los Alamos announced their collaboration to co-develop a prototype of a computational storage device.
• In September 2022, ScaleFlux announced its partnership with TD SYNNEX, aiming to broaden its access in the computational storage market.
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