サマリー

Market Definition, Recent Developments & Industry Trends
The computational storage market refers to advanced storage architectures that integrate processing capabilities directly within storage devices, enabling data to be processed closer to where it resides. By embedding processors into storage drives such as SSDs, computational storage minimizes data movement between storage and central processing units, thereby reducing latency, improving energy efficiency, and enhancing system performance. The ecosystem includes hardware manufacturers, semiconductor vendors, storage solution providers, hyperscale cloud operators, data center integrators, and enterprise IT organizations.
In recent years, exponential data growth driven by artificial intelligence workloads, edge computing, IoT proliferation, and high-resolution content streaming has intensified pressure on traditional data center architectures. Computational storage has emerged as a transformative approach to address bandwidth bottlenecks and escalating energy consumption. The market has evolved from early-stage pilots to targeted deployments in hyperscale environments and high-performance computing applications. Standardization initiatives and industry consortium efforts have further legitimized adoption. Looking toward 2035, computational storage is expected to become a foundational component of next-generation data infrastructures, particularly as enterprises seek scalable, energy-efficient solutions capable of supporting AI-intensive and data-centric workloads.
Key Findings of the Report
- Market Size (2024): USD 0.56 billion
- Estimated Market Size (2035): USD 9.22 billion
- CAGR (2025-2035): 29.00%
- Leading Regional Market: North America
- Leading Segment: Hardware (Processor and SSD) under Offering
Market Determinants
Exponential Growth in Data Volumes
The proliferation of AI, machine learning, IoT devices, and digital platforms has led to unprecedented data generation. Traditional centralized processing architectures struggle with bandwidth and latency limitations. Computational storage addresses these inefficiencies by enabling localized data processing, thereby significantly reducing data transfer overhead and infrastructure costs.
Rising Demand for Energy-Efficient Data Centers
Energy consumption has become a critical operational concern for hyperscale data centers. Computational storage reduces data movement and optimizes workload distribution, lowering power requirements and cooling costs. This energy efficiency translates into measurable cost savings and improved sustainability metrics, strengthening the commercial case for adoption.
Acceleration of AI and Edge Computing Workloads
AI inference and real-time analytics at the edge require low-latency data processing. Computational storage supports distributed architectures by processing data closer to its source, enabling faster decision-making and improved performance in latency-sensitive applications such as autonomous systems and telecom networks.
Technological Advancements in Storage Architectures
Advances in NVMe interfaces, SSD controller technologies, and programmable hardware platforms have expanded the feasibility of computational storage solutions. Programmable computational storage, in particular, offers flexibility for customized workloads, broadening enterprise applicability.
Integration Complexity and Standardization Challenges
Despite strong growth prospects, integration into legacy IT environments remains complex. Limited standardization and interoperability concerns may slow adoption among traditional enterprises. Additionally, initial capital expenditures and the need for specialized expertise can act as temporary constraints.
Opportunity Mapping Based on Market Trends
AI-Optimized Data Center Architectures
As AI-driven workloads expand, hyperscale and enterprise data centers represent a major opportunity for computational storage integration. Vendors capable of delivering AI-optimized storage-processing solutions can capture significant value in high-performance computing environments.
Edge and 5G Infrastructure Expansion
The rollout of 5G networks and edge computing nodes creates demand for localized data processing capabilities. Computational storage devices embedded in edge infrastructure can enhance throughput while minimizing latency, offering strong growth potential in telecommunications.
Energy-Efficient and Sustainable IT Solutions
With increasing ESG commitments across industries, computational storagefs ability to reduce energy consumption positions it as a strategic sustainability enabler. Vendors aligning offerings with green IT initiatives may secure competitive differentiation.
Programmable Storage Innovation
Programmable computational storage devices enable customization for industry-specific workloads, including genomics, financial analytics, and video rendering. This flexibility supports new revenue streams and platform-based business models.
Key Market Segments
By Offering:
- Hardware (Processor and SSD)
- Software
By Type:
- Fixed Computational Storage
- Programmable Computational Storage
By End Use Industry:
- Data Centers
- Cloud Service Providers
- Telecommunications
- BFSI
- Healthcare
- Media & Entertainment
- Government & Defense
Value-Creating Segments and Growth Pockets
The Hardware segment currently dominates the market, driven by strong demand for SSD-integrated processors and high-performance storage drives in hyperscale environments. However, the Software segment is expected to expand steadily as orchestration, management, and workload optimization tools become critical to maximizing hardware efficiency.
By type, Fixed Computational Storage holds a larger share in early deployments due to its simplicity and cost-effectiveness. In contrast, Programmable Computational Storage is projected to witness faster growth, supported by demand for customizable and AI-optimized processing capabilities. Among end-use industries, Data Centers and Cloud Service Providers account for the majority of revenue today, while Telecommunications and Healthcare are emerging as high-growth pockets due to edge computing and data-intensive analytics requirements.
Regional Market Assessment
North America
North America leads the computational storage market, supported by strong presence of semiconductor manufacturers, hyperscale cloud operators, and advanced data center infrastructure. Significant investments in AI and high-performance computing further reinforce regional dominance.
Europe
Europe demonstrates steady growth driven by increasing investments in data center modernization and sustainability initiatives. Regulatory focus on energy efficiency and digital sovereignty encourages adoption of innovative storage architectures.
Asia Pacific
Asia Pacific is anticipated to witness the fastest growth during the forecast period. Rapid expansion of cloud services, 5G infrastructure, and digital transformation initiatives across China, India, Japan, and Southeast Asia underpin demand for computational storage solutions.
LAMEA
The LAMEA region presents gradual but promising growth opportunities. Expansion of telecom infrastructure, government digitalization programs, and emerging data center investments are expected to support adoption over the long term.
Recent Developments
- April 2024: A leading semiconductor company introduced a next-generation programmable computational storage processor designed for AI-intensive workloads, enhancing performance scalability in data centers.
- September 2024: A global cloud provider initiated pilot deployments of computational storage devices to optimize data analytics operations, highlighting commercial validation of the technology.
- January 2025: A storage solutions vendor partnered with a telecommunications firm to integrate computational storage into edge infrastructure, strengthening real-time processing capabilities.
Critical Business Questions Addressed
What is the long-term revenue outlook for the computational storage market-
The report quantifies growth from USD 0.56 billion in 2024 to USD 9.22 billion by 2035, reflecting a strong 29.00% CAGR driven by structural data growth trends.
Which offering and type segments will generate the highest returns-
Hardware remains dominant today, while programmable computational storage is poised to accelerate due to customization and AI compatibility.
How will AI and edge computing influence market expansion-
The study highlights computational storage as a key enabler of distributed AI workloads and low-latency processing architectures.
Which industries should prioritize early adoption-
Data centers and cloud providers lead adoption, while telecom and healthcare represent high-growth emerging verticals.
What strategic capabilities are critical for market participants-
Innovation in processor integration, software orchestration, and ecosystem partnerships will define competitive positioning.
Beyond the Forecast
Computational storage represents a structural shift in how data infrastructures are architected, moving intelligence closer to data to unlock efficiency gains. As AI workloads intensify, traditional centralized architectures will face increasing performance constraints.
Market leaders will be those who combine hardware innovation with robust software ecosystems and strategic partnerships. Over the long term, computational storage is expected to redefine performance benchmarks, sustainability metrics, and cost structures across global data infrastructures.

ページTOPに戻る

目次

Table of Contents
Chapter 1. Global Computational Storage Market Report Scope & Methodology
1.1. Market Definition
1.2. Market Segmentation
1.3. Research Assumption
1.3.1. Inclusion & Exclusion
1.3.2. Limitations
1.4. Research Objective
1.5. Research Methodology
1.5.1. Forecast Model
1.5.2. Desk Research
1.5.3. Top Down and Bottom-Up Approach
1.6. Research Attributes
1.7. Years Considered for the Study
Chapter 2. Executive Summary
2.1. Market Snapshot
2.2. Strategic Insights
2.3. Top Findings
2.4. CEO/CXO Standpoint
2.5. ESG Analysis
Chapter 3. Global Computational Storage Market Forces Analysis
3.1. Market Forces Shaping The Global Computational Storage Market (2024-2035)
3.2. Drivers
3.2.1. Exponential Growth in Data Volumes
3.2.2. Rising Demand for Energy-Efficient Data Centers
3.2.3. Acceleration of AI and Edge Computing Workloads
3.2.4. Technological Advancements in Storage Architectures
3.3. Restraints
3.3.1. Integration Complexity and Standardization Challenges
3.3.2. initial capital expenditures and the need for specialized expertise
3.4. Opportunities
3.4.1. AI-Optimized Data Center Architectures
3.4.2. Edge and 5G Infrastructure Expansion
Chapter 4. Global Computational Storage Industry Analysis
4.1. Porter’s 5 Forces Model
4.2. Porter’s 5 Force Forecast Model (2024-2035)
4.3. PESTEL Analysis
4.4. Macroeconomic Industry Trends
4.4.1. Parent Market Trends
4.4.2. GDP Trends & Forecasts
4.5. Value Chain Analysis
4.6. Top Investment Trends & Forecasts
4.7. Top Winning Strategies (2025)
4.8. Market Share Analysis (2024-2025)
4.9. Pricing Analysis
4.10. Investment & Funding Scenario
4.11. Impact of Geopolitical & Trade Policy Volatility on the Market
Chapter 5. AI Adoption Trends and Market Influence
5.1. AI Readiness Index
5.2. Key Emerging Technologies
5.3. Patent Analysis
5.4. Top Case Studies
Chapter 6. Global Computational Storage Market Size & Forecasts by Offering 2025-2035
6.1. Market Overview
6.2. Global Computational Storage Market Performance - Potential Analysis (2025)
6.3. Hardware
6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
6.3.2. Market size analysis, by region, 2025-2035
6.4. Software
6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
6.4.2. Market size analysis, by region, 2025-2035

Chapter 7. Global Computational Storage Market Size & Forecasts by Type 2025-2035
7.1. Market Overview
7.2. Global Computational Storage Market Performance - Potential Analysis (2025)
7.3. Fixed Computational Storage
7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
7.3.2. Market size analysis, by region, 2025-2035
7.4. Programmable Computational Storage
7.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
7.4.2. Market size analysis, by region, 2025-2035

Chapter 8. Global Computational Storage Market Size & Forecasts by End Use Industry 2025-2035
8.1. Market Overview
8.2. Global Computational Storage Market Performance - Potential Analysis (2025)
8.3. Data Centers
8.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.3.2. Market size analysis, by region, 2025-2035
8.4. Cloud Service Providers
8.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.4.2. Market size analysis, by region, 2025-2035
8.5. Telecommunications
8.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.5.2. Market size analysis, by region, 2025-2035
8.6. BFSI
8.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.6.2. Market size analysis, by region, 2025-2035
8.7. Healthcare
8.7.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.7.2. Market size analysis, by region, 2025-2035
8.8. Media & Entertainment
8.8.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.8.2. Market size analysis, by region, 2025-2035
8.9. Government & Defense
8.9.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
8.9.2. Market size analysis, by region, 2025-2035

Chapter 9. Global Computational Storage Market Size & Forecasts by Region 2025–2035
9.1. Growth Computational Storage Market, Regional Market Snapshot
9.2. Top Leading & Emerging Countries
9.3. North America Computational Storage Market
9.3.1. U.S. Computational Storage Market
9.3.1.1. Offering breakdown size & forecasts, 2025-2035
9.3.1.2. Type breakdown size & forecasts, 2025-2035
9.3.1.3. End Use Industry breakdown size & forecasts, 2025-2035
9.3.2. Canada Computational Storage Market
9.3.2.1. Offering breakdown size & forecasts, 2025-2035
9.3.2.2. Type breakdown size & forecasts, 2025-2035
9.3.2.3. End Use Industry breakdown size & forecasts, 2025-2035
9.4. Europe Computational Storage Market
9.4.1. UK Computational Storage Market
9.4.1.1. Offering breakdown size & forecasts, 2025-2035
9.4.1.2. Type breakdown size & forecasts, 2025-2035
9.4.1.3. End Use Industry breakdown size & forecasts, 2025-2035
9.4.2. Germany Computational Storage Market
9.4.2.1. Offering breakdown size & forecasts, 2025-2035
9.4.2.2. Type breakdown size & forecasts, 2025-2035
9.4.2.3. End Use Industry breakdown size & forecasts, 2025-2035
9.4.3. France Computational Storage Market
9.4.3.1. Offering breakdown size & forecasts, 2025-2035
9.4.3.2. Type breakdown size & forecasts, 2025-2035
9.4.3.3. End Use Industry breakdown size & forecasts, 2025-2035
9.4.4. Spain Computational Storage Market
9.4.4.1. Offering breakdown size & forecasts, 2025-2035
9.4.4.2. Type breakdown size & forecasts, 2025-2035
9.4.4.3. End Use Industry breakdown size & forecasts, 2025-2035
9.4.5. Italy Computational Storage Market
9.4.5.1. Offering breakdown size & forecasts, 2025-2035
9.4.5.2. Type breakdown size & forecasts, 2025-2035
9.4.5.3. End Use Industry breakdown size & forecasts, 2025-2035
9.4.6. Rest of Europe Computational Storage Market
9.4.6.1. Offering breakdown size & forecasts, 2025-2035
9.4.6.2. Type breakdown size & forecasts, 2025-2035
9.4.6.3. End Use Industry breakdown size & forecasts, 2025-2035
9.5. Asia Pacific Computational Storage Market
9.5.1. China Computational Storage Market
9.5.1.1. Offering breakdown size & forecasts, 2025-2035
9.5.1.2. Type breakdown size & forecasts, 2025-2035
9.5.1.3. End Use Industry breakdown size & forecasts, 2025-2035
9.5.2. India Computational Storage Market
9.5.2.1. Offering breakdown size & forecasts, 2025-2035
9.5.2.2. Type breakdown size & forecasts, 2025-2035
9.5.2.3. End Use Industry breakdown size & forecasts, 2025-2035
9.5.3. Japan Computational Storage Market
9.5.3.1. Offering breakdown size & forecasts, 2025-2035
9.5.3.2. Type breakdown size & forecasts, 2025-2035
9.5.3.3. End Use Industry breakdown size & forecasts, 2025-2035
9.5.4. Australia Computational Storage Market
9.5.4.1. Offering breakdown size & forecasts, 2025-2035
9.5.4.2. Type breakdown size & forecasts, 2025-2035
9.5.4.3. End Use Industry breakdown size & forecasts, 2025-2035
9.5.5. South Korea Computational Storage Market
9.5.5.1. Offering breakdown size & forecasts, 2025-2035
9.5.5.2. Type breakdown size & forecasts, 2025-2035
9.5.5.3. End Use Industry breakdown size & forecasts, 2025-2035
9.5.6. Rest of APAC Computational Storage Market
9.5.6.1. Offering breakdown size & forecasts, 2025-2035
9.5.6.2. Type breakdown size & forecasts, 2025-2035
9.5.6.3. End Use Industry breakdown size & forecasts, 2025-2035
9.6. Latin America Computational Storage Market
9.6.1. Brazil Computational Storage Market
9.6.1.1. Offering breakdown size & forecasts, 2025-2035
9.6.1.2. Type breakdown size & forecasts, 2025-2035
9.6.1.3. End Use Industry breakdown size & forecasts, 2025-2035
9.6.2. Mexico Computational Storage Market
9.6.2.1. Offering breakdown size & forecasts, 2025-2035
9.6.2.2. Type breakdown size & forecasts, 2025-2035
9.6.2.3. End Use Industry breakdown size & forecasts, 2025-2035
9.7. Middle East and Africa Computational Storage Market
9.7.1. UAE Computational Storage Market
9.7.1.1. Offering breakdown size & forecasts, 2025-2035
9.7.1.2. Type breakdown size & forecasts, 2025-2035
9.7.1.3. End Use Industry breakdown size & forecasts, 2025-2035
9.7.2. Saudi Arabia (KSA) Computational Storage Market
9.7.2.1. Offering breakdown size & forecasts, 2025-2035
9.7.2.2. Type breakdown size & forecasts, 2025-2035
9.7.2.3. End Use Industry breakdown size & forecasts, 2025-2035
9.7.3. South Africa Computational Storage Market
9.7.3.1. Offering breakdown size & forecasts, 2025-2035
9.7.3.2. Type breakdown size & forecasts, 2025-2035
9.7.3.3. End Use Industry breakdown size & forecasts, 2025-2035
Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Intel Corporation
10.2.1. Company Overview
10.2.2. Key Executives
10.2.3. Company Snapshot
10.2.4. Financial Performance (Subject to Data Availability)
10.2.5. Product/Services Port
10.2.6. Recent Development
10.2.7. Market Strategies
10.2.8. SWOT Analysis
10.3. Advanced Micro Devices, Inc.
10.4. Samsung Electronics Co., Ltd.
10.5. NGD Systems
10.6. ScaleFlux
10.7. Marvell Technology, Inc.
10.8. Eideticom
10.9. NETINT Technologies
10.10. Pliops
10.11. ARM

ページTOPに戻る

図表リスト

List of Tables
Table 1. Global Computational Storage Market, Report Scope
Table 2. Global Computational Storage Market Estimates & Forecasts By Region 2024–2035
Table 3. Global Computational Storage Market Estimates & Forecasts By Segment 2024–2035
Table 4. Global Computational Storage Market Estimates & Forecasts By Segment 2024–2035
Table 5. Global Computational Storage Market Estimates & Forecasts By Segment 2024–2035
Table 6. Global Computational Storage Market Estimates & Forecasts By Segment 2024–2035
Table 7. Global Computational Storage Market Estimates & Forecasts By Segment 2024–2035
Table 8. U.S. Computational Storage Market Estimates & Forecasts, 2024–2035
Table 9. Canada Computational Storage Market Estimates & Forecasts, 2024–2035
Table 10. UK Computational Storage Market Estimates & Forecasts, 2024–2035
Table 11. Germany Computational Storage Market Estimates & Forecasts, 2024–2035
Table 12. France Computational Storage Market Estimates & Forecasts, 2024–2035
Table 13. Spain Computational Storage Market Estimates & Forecasts, 2024–2035
Table 14. Italy Computational Storage Market Estimates & Forecasts, 2024–2035
Table 15. Rest Of Europe Computational Storage Market Estimates & Forecasts, 2024–2035
Table 16. China Computational Storage Market Estimates & Forecasts, 2024–2035
Table 17. India Computational Storage Market Estimates & Forecasts, 2024–2035
Table 18. Japan Computational Storage Market Estimates & Forecasts, 2024–2035
Table 19. Australia Computational Storage Market Estimates & Forecasts, 2024–2035
Table 20. South Korea Computational Storage Market Estimates & Forecasts, 2024–2035
………….