Why should You Invest in Computational Storage? For Market Trends, Leading Market Products, and Regional Growth (2024 - 2031)

The "Computational Storage Market" prioritizes cost control and efficiency enhancement. Additionally, the reports cover both the demand and supply sides of the market. The Computational Storage market is anticipated to grow at an annual rate of 11.5% from 2024 to 2031.

This entire report is of 153 pages.

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Computational Storage Market Outlook and Report Coverage 

Computational storage is emerging as a transformative paradigm in data management, enabling processing capabilities to be integrated within storage systems themselves. This innovation significantly enhances data efficiency and reduces latency, addressing the challenges posed by increasingly large datasets. The growth of the computational storage market is projected to accelerate rapidly as enterprises seek more efficient solutions to handle big data analytics, artificial intelligence, and real-time processing requirements. With an expanding ecosystem of applications across various industries, including cloud computing and IoT, the market is poised for substantial investment and innovation, paving the way for a more efficient data infrastructure.

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Market Trends influencing the Computational Storage market 

- **AI and Machine Learning Integration**: Enhanced data processing efficiencies through on-device algorithms, facilitating faster analytics.

- **NVMe-over-Fabrics**: Accelerates data transfer speeds and reduces latency by extending NVMe (Non-Volatile Memory Express) protocols over networks.

- **In-memory Computing**: Minimizes data movement by processing data directly within memory, improving performance for big data applications.

- **Edge Computing Adoption**: Drives demand for computational storage solutions as data processing shifts closer to data sources.

- **Sustainability Focus**: Growing attention towards energy-efficient storage systems as industries prioritize eco-friendly technologies.

These trends collectively indicate robust growth in the Computational Storage market, driven by technological advancements and evolving consumer preferences.

Computational Storage Market Key Companies & Share Insights 

Computational Storage refers to integrating compute capabilities within storage devices, enhancing data processing efficiency. Key players include **Xilinx (AMD)**, known for FPGA-based solutions; **VIA Technologies**, which offers specialized controllers; and **NGD Systems**, focusing on NVMe storage with embedded processing. **BittWare** provides FPGA-based boards that support computational workloads, while **Samsung** leads in high-capacity SSDs with integrated processing. **ARM** designs CPUs that are essential for computational tasks in storage devices. Other notable companies like **ScaleFlux** and **Phison** leverage advanced memory technologies, and **Netint** offers hardware for video processing.

Market leaders like **Intel**, **Western Digital**, and **NVIDIA** set the pace with their significant investments in R&D and technology. Emerging entrants such as **Pliops** and **Eideticom** are innovating with unique storage architectures.

These companies can drive the Computational Storage market by promoting efficiency, accelerating data-centric workloads, and fostering collaborations across industries, enhancing performance for AI, big data, and cloud computing applications. By addressing challenges like bandwidth and latency, they can create new opportunities in tech-driven sectors.

• Xilinx (AMD)
• VIA TECHNOLOGIES, INC.
• NGD Systems
• BittWare
• Samsung
• ARM
• ScaleFlux
• Phison
• Netint
• Eideticom
• Pliops
• Nyriad
• Intel
• Alibaba
• Dell Technologies
• NVIDIA
• IBM
• AIC Inc.
• Achronix
• Stephen Bates
• Western Digital

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Market Segmentation 2024 to 2031:

 In terms of Product Type, the Computational Storage market is segmented into:

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

Fixed Computational Storage Services (FCSS) offer predefined processing capabilities directly within storage devices, enhancing data handling efficiency without user customization. This approach speeds up tasks like real-time analytics and content delivery. In contrast, Programmable Computational Storage Services (PCSS) allow users to define and execute custom algorithms on the storage hardware, providing flexibility for diverse applications. Both types drive the demand for computational storage by enabling faster data processing, reducing latency, and optimizing resource utilization. As businesses increasingly require swift data insights and seamless performance, these solutions become vital to modern data architectures, fueling market growth.

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In terms of Product Application, the Computational Storage market is segmented into:

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

Computational storage enhances data handling across various applications. In data centers, it processes data closer to storage, reducing latency and bandwidth usage. Smart security cameras benefit from on-device analytics, enabling real-time processing without excessive data transfer. Bandwidth-constrained devices leverage computational storage to handle and analyze data locally, minimizing loading times. Other applications include IoT devices and edge computing, enhancing operational efficiency. Currently, the fastest-growing application segment in terms of revenue is smart security cameras, driven by increasing demand for real-time video analytics and surveillance, improving safety and operational intelligence in various environments.

Regional Analysis of Computational Storage Market

North America:

• United States


• Canada

Europe:

• Germany


• France


• U.K.


• Italy


• Russia

Asia-Pacific:

• China


• Japan


• South Korea


• India


• Australia


• China Taiwan


• Indonesia


• Thailand


• Malaysia

Latin America:

• Mexico


• Brazil


• Argentina Korea


• Colombia

Middle East & Africa:

• Turkey


• Saudi


• Arabia


• UAE


• Korea

The computational storage market is experiencing significant growth across various regions. North America, particularly the United States, is poised to dominate the market due to advanced technology adoption, with an expected market share of around 40%. Europe, led by Germany and the ., follows, capturing approximately 25% of the market. The Asia-Pacific region, driven by China and India, is projected to hold a 20% share, driven by increasing data center investments. Latin America and the Middle East & Africa are smaller markets, estimated at 10% and 5% market shares, respectively. Overall, North America is forecasted to retain the largest market valuation in the coming years.

Key Drivers and Barriers in the Computational Storage Market 

The Computational Storage Market is driven by the surge in data-intensive applications, cloud computing demand, and the need for efficient data management. Innovations like integrated processing units in storage devices enhance speed and reduce latency, addressing performance bottlenecks. Solutions to overcome industry barriers, including high costs and complex integration, involve developing modular architectures and promoting standards for compatibility. Collaborative efforts between hardware and software providers to create seamless ecosystems further enable adoption. Additionally, advancements in AI and machine learning optimize data processing, enhancing scalability and reliability while reducing operational overheads.

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