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Near Memory Compute (NMC) In-SSD Processor Market, Trends, Business Strategies 2026-2034

The global Near Memory Compute (NMC) In-SSD Processor Market, valued at a robust US$ 210.6 million in 2026, is on a trajectory of significant expansion, projected to reach US$ 892.3 million by 2034. This growth, representing a compound annual growth rate (CAGR) of 17.4%, is detailed in a comprehensive new report published by Semiconductor Insight. The study highlights the transformational role of in‑SSD compute engines in addressing the “memory wall” that has constrained data‑intensive workloads across cloud, enterprise, and edge environments.

NMC In‑SSD processors embed lightweight compute units directly into the NAND flash substrate or SSD controller, enabling data‑centric processing such as AI inference, database acceleration, compression, and encryption to occur where the data resides. By eliminating repeated data movements between storage and host CPUs, these solutions deliver dramatic latency reductions-often exceeding 10×-and considerable energy savings. Early adopters report up to 40 % lower total cost of ownership for analytics pipelines, positioning NMC as a cornerstone technology for next‑generation high‑performance computing.

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The convergence of three macro trends-explosive AI workload growth, the relentless expansion of hyperscale data centers, and the increasing commoditization of NVMe‑based storage-has created an unprecedented demand for computational storage. Enterprises are seeking ways to offload repetitive, data‑heavy tasks from general‑purpose CPUs to specialized compute lanes embedded in storage devices. This shift not only frees CPU cycles for core application logic but also mitigates bandwidth bottlenecks that have traditionally limited real‑time analytics. Moreover, emerging standards such as the SNIA Computational Storage Architecture provide a common framework that encourages multi‑vendor interoperability, thereby lowering adoption risk for early‑stage pilots.

Primary Growth Engines: AI & Cloud‑Native Workloads

Artificial intelligence and machine learning inference workloads have become the dominant catalyst for market expansion. Large language models, recommendation systems, and computer‑vision pipelines generate petabytes of intermediate data that must be filtered, transformed, or scored in real time. Conventional architectures shuttle this data repeatedly across the PCIe bus, incurring latency penalties and heightened power consumption. NMC In‑SSD processors execute inference kernels directly within the storage medium, delivering sub‑millisecond response times and reducing overall system power draw by up to 30 %.

Simultaneously, cloud service providers and hyperscalers are redesigning their storage stacks to become more compute‑aware. By provisioning NMC‑enabled SSDs as a consumable service, operators can offer “compute‑as‑a‑storage” capabilities that scale elastically with demand. This model aligns with the broader industry move toward disaggregated infrastructure, where storage, compute, and networking resources are managed independently but orchestrated through unified APIs.

Competitive Landscape

COMPETITIVE LANDSCAPE

 

Key Industry Players

 

Near Memory Compute (NMC) In-SSD Processor Market: Competitive Dynamics and Leading Innovators Shaping the Future of Computational Storage

The Near Memory Compute (NMC) In-SSD Processor market is characterized by a concentrated yet rapidly expanding competitive landscape, where a handful of vertically integrated semiconductor and storage giants command significant market influence alongside specialized computational storage startups. Samsung Electronics Co., Ltd. stands as the dominant force in this space, leveraging its unparalleled NAND flash manufacturing capabilities and deep R&D investment to advance in‑SSD compute architectures that integrate processing logic directly at the storage layer. The company's SmartSSD computational storage drives have been commercially deployed across cloud and enterprise data center environments, establishing Samsung as the benchmark competitor in the market. ScaleFlux, Inc. has similarly emerged as a formidable player, offering purpose‑built computational storage devices (CSDs) targeting data compression, database acceleration, and AI inference workloads natively within the drive - a positioning that has attracted strong enterprise adoption. The Storage Networking Industry Association (SNIA) Computational Storage Architecture standard, which these and other leading players actively contributed to, is accelerating interoperability and broadening the competitive field as enterprise buyers gain greater confidence in multi‑vendor deployments.

Beyond the market leaders, several other significant players are carving out competitive niches across the NMC In‑SSD processor value chain. Micron Technology, Inc. and Kioxia Corporation are advancing near‑storage processing capabilities within their respective NAND flash platforms, focusing on latency reduction and memory‑wall mitigation for high‑performance computing and AI workloads. Western Digital Corporation continues to invest in computational storage research, integrating processing engines within its enterprise SSD controller architectures. Meanwhile, firms such as NGram (NGD Systems), Eideticom, and Pliops are driving differentiation through software‑defined computational storage platforms and high‑throughput key‑value store acceleration, respectively. The competitive intensity is further heightened by semiconductor IP providers and emerging fabless startups targeting specific verticals including cloud analytics, genomics data processing, and real‑time AI inference - all of which are expected to fuel the market's projected expansion from USD 210.6 million in 2026 to USD 892.3 million by 2034 at a CAGR of 17.4%.

Segment Analysis:

Segment Analysis:

 

Segment Category Sub-Segments Key Insights
By Type
  • NAND Flash-Integrated Compute Engines
  • Near-Storage Processing Units (NSPUs)
  • Computational Storage Devices (CSDs)
  • SSD Controller-Embedded Processors
 Computational Storage Devices (CSDs) represent the leading segment within the By Type classification, driven by their versatile ability to natively execute a broad spectrum of workloads directly within the drive enclosure.
  • CSDs are uniquely architected to support complex tasks such as database query processing, real‑time data analytics, AI inference, compression, and encryption without offloading these operations to the host CPU, thereby dramatically alleviating the memory wall bottleneck that has long constrained data‑intensive computing environments.
  • The formalization of the Computational Storage Architecture standard by the Storage Networking Industry Association (SNIA) has significantly bolstered CSD adoption by establishing interoperability benchmarks, giving enterprise buyers and cloud operators greater confidence in deploying these solutions at scale across heterogeneous infrastructure environments.
  • Leading industry players such as Samsung Electronics and ScaleFlux have actively commercialized CSD‑based solutions, further validating the segment's maturity and accelerating broader market acceptance across hyperscale data centers and enterprise storage ecosystems.
By Application
  • Data Analytics and Business Intelligence
  • AI and Machine Learning Inference
  • Database Query Processing
  • Data Compression and Encryption
  • Others
 AI and Machine Learning Inference has emerged as the dominant application segment, propelled by the exponential proliferation of AI workloads across cloud, edge, and enterprise computing environments.
  • As artificial intelligence models grow increasingly complex and data‑hungry, the conventional approach of shuttling massive datasets between storage and host CPUs introduces prohibitive latency and energy overhead; NMC In‑SSD processors directly address this challenge by enabling inference computations to be performed at the storage layer, where data already resides, resulting in dramatically faster and more energy‑efficient AI pipelines.
  • The convergence of large‑scale language model deployment, real‑time recommendation engines, and computer‑vision applications has created a persistent and growing demand for storage‑native compute capabilities, making AI inference a natural and strategic fit for NMC In‑SSD architectures.
  • Enterprise and hyperscale cloud operators are increasingly prioritizing in‑storage AI acceleration as a means to decouple inference throughput from CPU availability, enabling more scalable and cost‑effective AI infrastructure deployments without proportional increases in server hardware investment.
By End User
  • Cloud Service Providers and Hyperscalers
  • Enterprise Data Centers
  • Telecommunications and Network Operators
  • Research and Academic Institutions
 Cloud Service Providers and Hyperscalers constitute the leading end‑user segment, as these organizations operate at the frontier of data‑intensive workload management and are uniquely positioned to realize the full transformative benefits of NMC In‑SSD processor technology.
  • Hyperscale cloud operators routinely manage petabyte‑scale datasets distributed across vast storage fleets, and the persistent memory‑wall problem - characterized by an ever‑widening gap between CPU processing speeds and storage I/O bandwidth - creates a compelling operational imperative to adopt in‑SSD compute solutions that minimize unnecessary data movement across storage hierarchies.
  • The strategic alignment of NMC In‑SSD processors with cloud‑native workloads such as distributed database management, large‑scale log analytics, and real‑time stream processing makes these processors an ideal fit for hyperscale deployment architectures that prioritize throughput, energy efficiency, and total cost of ownership optimization.
  • Cloud providers also benefit from the SNIA Computational Storage Architecture standard, which facilitates seamless integration of NMC‑enabled drives into existing infrastructure management frameworks, reducing deployment complexity and accelerating time‑to‑value for in‑storage compute investments.
By Interface Standard
  • NVMe‑based NMC Processors
  • PCIe‑attached Computational Storage
  • SATA‑based Near‑Storage Compute
 NVMe‑based NMC Processors lead this segment by virtue of the NVMe protocol's architectural superiority in supporting low‑latency, high‑parallelism communication between host systems and storage‑embedded compute engines.
  • The NVMe interface is inherently designed to exploit the parallelism of NAND flash‑based storage, and its command‑set extensions provide a natural foundation for offloading computational tasks to in‑SSD processors, enabling seamless integration into modern data‑center storage fabrics without requiring disruptive changes to existing host software stacks.
  • NVMe's widespread adoption across enterprise and hyperscale environments has created a large and growing installed base that is primed for incremental NMC capability upgrades, lowering the barrier to adoption and enabling storage vendors such as Kioxia, Western Digital, and Micron Technology to deliver NMC‑enhanced NVMe drives with minimal ecosystem friction.
  • The ongoing evolution of NVMe standards, including emerging command‑set specifications tailored for computational storage, further cements NVMe‑based NMC processors as the preferred interface paradigm for next‑generation in‑SSD compute deployments across demanding enterprise and cloud use cases.
By Deployment Mode
  • On‑Premises Data Center Deployment
  • Cloud‑Native Deployment
  • Edge and Distributed Deployment
 Cloud‑Native Deployment stands as the dominant deployment mode, reflecting the broader industry shift toward cloud‑first infrastructure strategies and the concentration of data‑intensive workloads within hyperscale cloud environments.
  • Cloud‑native deployment of NMC In‑SSD processors enables organizations to leverage computational storage capabilities as a scalable, on‑demand resource that can be provisioned and managed dynamically alongside other cloud infrastructure components, offering a level of operational flexibility that is difficult to replicate in traditional on‑premises environments.
  • The cloud deployment model also facilitates rapid iteration and validation of in‑SSD compute use cases - including AI inference pipelines, real‑time analytics, and intelligent data tiering - without requiring upfront capital investment in specialized on‑premises hardware, making it particularly attractive for organizations in the early stages of NMC technology adoption.
  • Edge and distributed deployment is emerging as a fast‑growing complementary mode, driven by the proliferation of latency‑sensitive applications in telecommunications, autonomous systems, and industrial IoT, where the ability to perform analytics and inference natively within edge‑deployed SSDs offers transformative advantages in bandwidth conservation and response‑time reduction.


Regional Analysis: Near Memory Compute (NMC) In-SSD Processor Market

 

 

North America
North America stands as the undisputed leading region in the Near Memory Compute (NMC) In‑SSD Processor Market, driven by the concentration of hyperscale data center operators, leading semiconductor firms, and a highly mature cloud infrastructure ecosystem. The United States, in particular, acts as the nucleus of innovation, with major technology enterprises aggressively integrating NMC in‑SSD processor solutions to address mounting computational bottlenecks associated with data‑intensive workloads. The region benefits from well‑established venture‑capital networks that continuously fund deep‑tech startups pioneering computational storage architectures. Enterprise adoption across sectors such as financial services, healthcare analytics, and artificial intelligence research has accelerated demand for storage solutions capable of processing data at the storage layer, significantly reducing latency and power consumption. Canada contributes meaningfully through its thriving AI research corridors in Toronto and Montreal, where academic‑industry collaborations are advancing the theoretical and applied dimensions of near‑memory processing. Regulatory frameworks in North America that favor domestic semiconductor production, reinforced by ongoing policy initiatives encouraging on‑shore chip manufacturing, are further strengthening the region's competitive position in the global Near Memory Compute (NMC) In‑SSD Processor Market through 2034.
Hyperscale Data Center Demand
North America's hyperscale data center landscape is among the most expansive globally, creating a fertile environment for Near Memory Compute (NMC) In‑SSD Processor adoption. Operators are under continuous pressure to improve query throughput and reduce host CPU offloading, making in‑SSD processing an architecturally attractive solution that aligns with long‑term infrastructure efficiency strategies.
Semiconductor Innovation Ecosystem
The region hosts a dense cluster of semiconductor design companies and foundry partners actively developing next‑generation NMC in‑SSD processor architectures. Silicon Valley remains the epicenter of this innovation, where engineering talent, research institutions, and corporate R&D divisions collaborate to push performance boundaries and establish new industry benchmarks for computational storage technology.
AI and Machine Learning Workloads
Artificial intelligence and machine learning training pipelines in North America are generating unprecedented volumes of unstructured data, intensifying the need for storage solutions capable of in‑situ processing. NMC in‑SSD processors are increasingly evaluated as a means to accelerate vector database operations and neural network inference tasks without burdening central processing resources, reflecting a fundamental architectural shift.
Policy and Investment Landscape
Government‑backed semiconductor investment programs in the United States are creating downstream benefits for the Near Memory Compute (NMC) In‑SSD Processor Market by incentivizing domestic production capacity and supply chain resilience. These policy tailwinds are encouraging enterprise procurement strategies that prioritize advanced storage compute solutions developed and manufactured within the region.

 

Europe
Europe represents a strategically important region in the Near Memory Compute (NMC) In‑SSD Processor Market, characterized by strong institutional research programs and a growing emphasis on digital sovereignty. Countries such as Germany, the Netherlands, and France are investing in sovereign cloud infrastructure, which indirectly drives demand for advanced computational storage technologies capable of handling sensitive data workloads locally. The European Union's focus on data privacy regulations has prompted enterprises to seek storage architectures that minimize data movement, a requirement well‑served by NMC in‑SSD processor solutions. Research universities across the region are actively publishing foundational work in near‑memory processing, and collaborative public‑private programs are translating academic insights into commercial prototypes. While Europe's semiconductor manufacturing base remains less concentrated than North America or Asia‑Pacific, strategic partnerships with global chip designers are enabling regional firms to integrate NMC capabilities into enterprise storage product lines, positioning Europe as a steadily growing contributor to the global market through 2034.

Asia‑Pacific
Asia‑Pacific is emerging as the fastest‑evolving region in the Near Memory Compute (NMC) In‑SSD Processor Market, underpinned by the extraordinary pace of digital infrastructure expansion across China, South Korea, Japan, and India. South Korea's dominant NAND flash memory manufacturers are uniquely positioned to integrate NMC processing capabilities directly into next‑generation SSD products, leveraging deep vertical integration across the storage value chain. China's national ambitions in semiconductor self‑sufficiency are accelerating domestic development of computational storage solutions, with state‑backed research initiatives targeting near‑memory architectures as a strategic priority. Japan's precision engineering culture and established enterprise storage market continue to support incremental yet meaningful adoption of NMC in‑SSD processors in industrial and telecommunications applications. India's rapidly expanding cloud and data center sector is beginning to evaluate NMC solutions as a cost‑effective means of managing the explosive growth in analytics‑driven workloads, adding a new demand dimension to the regional market landscape.

South America
South America occupies a nascent but gradually awakening position in the Near Memory Compute (NMC) In‑SSD Processor Market. Brazil serves as the primary engine of regional growth, supported by expanding fintech ecosystems, digital banking infrastructure, and a growing public cloud adoption curve that collectively generate demand for more efficient data processing architectures. While large‑scale enterprise deployment of NMC in‑SSD processors remains limited due to cost sensitivity and infrastructure maturity constraints, regional system integrators and cloud service providers are beginning to evaluate computational storage as part of longer‑term modernization roadmaps. Government‑led digital transformation initiatives in Brazil, Chile, and Colombia are creating a more favorable environment for advanced storage technology investments. As global NMC in‑SSD processor vendors look to diversify their market presence beyond saturated regions, South America is anticipated to receive increased commercial attention in the latter half of the 2026–2034 forecast period.

Middle East & Africa
The Middle East and Africa region represents an emerging frontier for the Near Memory Compute (NMC) In‑SSD Processor Market, with growth driven primarily by ambitious smart city programs, sovereign data center construction projects, and the accelerating digital economy in Gulf Cooperation Council nations. Saudi Arabia and the United Arab Emirates are leading regional investment in hyperscale and edge data center infrastructure as part of broader economic diversification strategies, creating foundational demand for high‑performance storage compute architectures. NMC in‑SSD processor solutions are increasingly relevant in this context, as regional operators seek technologies that optimize energy consumption - a particularly critical consideration given high cooling costs in arid climates. Africa's market remains at an early stage, though South Africa and select East African technology hubs are establishing digital infrastructure corridors that may support longer‑term adoption. Overall, the Middle East and Africa region is expected to contribute incrementally yet progressively to the global Near Memory Compute (NMC) In‑SSD Processor Market through 2034.

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About Semiconductor Insight

Semiconductor Insight is a leading provider of market intelligence and strategic consulting for the global semiconductor and high‑technology industries. Our in‑depth reports and analysis offer actionable insights to help businesses navigate complex market dynamics, identify growth opportunities, and make informed decisions. We are committed to delivering high‑quality, data‑driven research to our clients worldwide.
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