The storage class memory market size is expected to see exponential growth in the next few years. It will grow to $17.26 billion in 2030 at a compound annual growth rate (CAGR) of 26.6%. The growth in the forecast period can be attributed to increasing integration of hybrid memory solutions, rising adoption in AI and iot applications, expansion of high-capacity scm modules, development of energy-efficient persistent memory, growing demand in automotive and aerospace sectors. Major trends in the forecast period include low-latency persistent memory, high-endurance memory solutions, hybrid memory architectures, memory tiering optimization, accelerated data-intensive computing.
The growing demand for data centers is expected to drive the growth of the storage class memory market going forward. A data center is a facility equipped with servers, storage, networking, and power systems that organizations use to store, manage, and process large volumes of data. Demand for data centers is rising as more businesses adopt cloud computing to enhance scalability, ensure secure data management, and support the increasing need for seamless digital services across industries. Storage class memory supports data centers by providing high speed, persistent storage that bridges the gap between DRAM and traditional storage, improving performance, reducing latency, and supporting demanding workloads. For example, in September 2024, according to the National Telecommunications and Information Administration, a US based government department, the United States has over 5,000 data centers, with demand expected to grow at an annual rate of 9 percent through 2030. Therefore, the growing demand for data centers is driving the growth of the storage class memory market.
Major companies in the storage class memory market are focusing on developing innovations in memory technology products, such as persistent storage class memory chips, to enhance data access speeds, reduce latency, and increase system efficiency. Persistent storage class memory chips are a type of memory that combines the speed of RAM with the ability to retain data such as storage, enabling fast, low latency, and non volatile data access. For example, in October 2024, Xincun Technology, a China based semiconductor start up, launched a storage class memory chip called NM102, designed to combine the speed of DRAM with the persistence of NAND flash. This Optane such as memory uses phase change technology and a standard NAND interface to achieve microsecond level response times, offering performance that bridges the gap between traditional DRAM and NAND storage. By launching this chip, Numemory aims to fill the void left by Intel’s Optane exit, targeting the high end storage market with a scalable and high speed solution. This advancement represents a significant step toward China’s semiconductor self reliance.
In March 2025, SK hynix, a South Korea-based provider of NAND flash memory, DRAM, and enterprise solid-state storage solutions, completed the acquisition of Intel’s NAND flash and SSD business, Solidigm, for $8.84 billion. Through this acquisition, SK hynix aims to strengthen its competitiveness in high-capacity enterprise storage, enhance its controller and firmware capabilities, and expand its position in the global NAND and storage class memory-adjacent markets. Solidigm is a United States-based provider of advanced NAND flash technologies, enterprise SSDs, storage controllers, and optimization firmware.
Major companies operating in the storage class memory market are Samsung Electronics Co Ltd, SK hynix Inc, Micron Technology Inc, Intel Corporation, IBM Corporation, Everspin Technologies Inc, Avalanche Technology Inc, Crossbar Inc, Weebit Nano Ltd, Western Digital Corporation, Kioxia Holdings Corporation, Fujitsu Ltd, Hewlett Packard Enterprise, Sony Corporation, Winbond Electronics Corporation, Macronix International Co Ltd, ChangXin Memory Technologies Inc, Smart IOPS Inc, Xincun Technology, FLexxon Pte Ltd.
North America was the largest region in the storage class memory market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the storage class memory market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the storage class memory market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have influenced the storage class memory market by increasing the cost of importing advanced memory modules, persistent memory chips, and hybrid memory solutions. Segments such as phase change memory, magnetoresistive ram, and hybrid memory modules are most impacted, particularly in regions reliant on Asia-Pacific suppliers including China and Taiwan. IT, telecommunication, cloud computing, and consumer electronics sectors face higher procurement costs and potential deployment delays. However, tariffs have also encouraged local production, innovation in energy-efficient memory designs, and investment in regional manufacturing capabilities. Overall, tariffs are reshaping sourcing strategies while promoting the development of high-performance, low-latency, and hybrid memory solutions.
The storage class memory market research report is one of a series of new reports that provides storage class memory market statistics, including storage class memory industry global market size, regional shares, competitors with a storage class memory market share, detailed storage class memory market segments, market trends and opportunities, and any further data you may need to thrive in the storage class memory industry. This storage class memory market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Storage class memory SCM is a type of non volatile memory that bridges the gap between high speed DRAM and traditional NAND flash storage, offering both fast access times and persistent data retention. It combines the low latency and high endurance of memory with the persistence of storage, making it ideal for accelerating data intensive applications, enabling faster caching, tiered storage, and memory expansion in modern computing environments.
The main product types in storage class memory are persistent memory, non volatile memory, and hybrid memory. Persistent memory is a type of computer memory that retains data even when power is lost, combining the speed of traditional RAM with the durability of storage. It includes various memory types such as dynamic random access memory DRAM, flash memory, ferroelectric random access memory FRAM, magnetoresistive random access memory MRAM, and phase change memory PCM, and storage capacities include low capacity storage class memory, medium capacity storage class memory, and high capacity storage class memory. It is used in applications such as big data analytics, cloud computing, artificial intelligence AI, Internet of Things IoT applications, and virtualization, serving end users including information technology and telecommunications, consumer electronics, automotive, healthcare, aerospace and defense, and others.
The storage class memory market consists of sales of persistent memory modules, memory expansion cards, caching and tiered storage solutions, byte-addressable SCM devices, and block-addressable devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Storage Class Memory Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses storage class memory market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for storage class memory? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The storage class memory market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Product Type: Persistent Memory; Non-Volatile Memory; Hybrid Memory2) By Memory Type: Dynamic Random Access Memory (DRAM); Flash Memory; Ferroelectric Random Access Memory (FeRAM); Magnetoresistive Random Access Memory (MRAM); Phase Change Memory (PCM)
3) By Storage Capacity: Low-Capacity Storage Class Memory; Medium-Capacity Storage Class Memory; High-Capacity Storage Class Memory
4) By Application: Big Data Analytics; Cloud Computing; Artificial Intelligence (AI); Internet Of Things (IoT) Applications; Virtualization
5) By End-User: Information Technology And Telecommunication; Consumer Electronics; Automotive; Healthcare; Aerospace And Defense; Other End-Users
Subsegments:
1) By Persistent Memory: Phase Change Memory; Magnetoresistive Random Access Memory; Ferroelectric Random Access Memory; Dynamic Random Access Memory2) By Non-Volatile Memory: Flash Memory; Read Only Memory; Electrically Erasable Programmable Read Only Memory
3) By Hybrid Memory: Dynamic Random Access Memory With Flash; Phase Change Memory With Flash; Magnetoresistive Random Access Memory With Flash
Companies Mentioned: Samsung Electronics Co Ltd; SK hynix Inc; Micron Technology Inc; Intel Corporation; IBM Corporation; Everspin Technologies Inc; Avalanche Technology Inc; Crossbar Inc; Weebit Nano Ltd; Western Digital Corporation; Kioxia Holdings Corporation; Fujitsu Ltd; Hewlett Packard Enterprise; Sony Corporation; Winbond Electronics Corporation; Macronix International Co Ltd; ChangXin Memory Technologies Inc; Smart IOPS Inc; Xincun Technology; FLexxon Pte Ltd
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Storage Class Memory market report include:- Samsung Electronics Co Ltd
- SK hynix Inc
- Micron Technology Inc
- Intel Corporation
- IBM Corporation
- Everspin Technologies Inc
- Avalanche Technology Inc
- Crossbar Inc
- Weebit Nano Ltd
- Western Digital Corporation
- Kioxia Holdings Corporation
- Fujitsu Ltd
- Hewlett Packard Enterprise
- Sony Corporation
- Winbond Electronics Corporation
- Macronix International Co Ltd
- ChangXin Memory Technologies Inc
- Smart IOPS Inc
- Xincun Technology
- FLexxon Pte Ltd
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 6.72 Billion |
| Forecasted Market Value ( USD | $ 17.26 Billion |
| Compound Annual Growth Rate | 26.6% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |


