Through market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights, The Business Research Company’s 2026 market reports provide more actionable and strategically valuable research.
Storage-Class Memory-Display Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The storage-class memory-display market size has exhibited significant growth in recent years. It is expected to expand from $7.43 billion in 2025 to $9.43 billion in 2026, at a compound annual growth rate (CAGR) of 26.9%. The historical period’s growth can be attributed to factors such as the expansion of data center workloads, an increasing demand for low latency storage, the growth of enterprise virtualization, the necessity for faster database processing, and the rising adoption of high performance computing.
The storage-class memory-display market is projected to experience substantial expansion in the coming years. Its valuation is anticipated to reach $24.74 billion by 2030, driven by a compound annual growth rate (CAGR) of 27.3%. This projected increase during the forecast timeframe is attributable to several factors, including the rise of AI inference workloads, a growing need for memory tiering architectures, the proliferation of real-time analytics systems, wider implementation of NVMe standards, and the imperative for energy-efficient memory solutions. Key trends anticipated within this period encompass the deployment of persistent memory within data centers, the development of low-latency memory tailored for AI applications, seamless integration with NVMe-based architectures, the implementation of hybrid memory tiering strategies, and the escalating demand for enterprise storage acceleration.
Download A Free Sample Report For Comprehensive Market Insights:
#Storage-Class Memory-Display Market Growth Factors: Which Forces Are Supporting Market Expansion?
Increasing implementation of artificial intelligence (AI) and machine learning (ML) tasks is anticipated to fuel the expansion of the storage-class memory-display market in the future. These AI and ML workloads encompass the various computational operations and procedures essential for developing, testing, and deploying AI models, including activities like data processing, model training, inferencing, and optimization. The increasing use of AI and ML is driven by the availability of extensive datasets, which facilitate the creation of precise models that empower businesses and researchers to derive valuable insights, automate operations, and enhance decision-making. The widespread integration of AI and ML workloads necessitates storage-class memory due to their enormous data generation and the demand for exceptionally fast, low-latency, and durable memory solutions. These solutions are crucial for efficiently processing, analyzing, and accessing information, thereby guaranteeing uninterrupted performance and dependable operation for both real-time and extensive computational demands. For example, Flexera, a US-based software development firm, reported in March 2025 that AI adoption is on the rise, with 76% utilizing data warehouses for model support and 72% employing generative AI in 2025, an increase from 47% in 2024. Consequently, the growing embrace of artificial intelligence (AI) and machine learning workloads is propelling the expansion of the storage-class memory-display market.
Storage-Class Memory-Display Market Segment Performance And Strategic Opportunities
The storage-class memory-display market covered in this report is segmented –
1) By Type: Dynamic Random-Access Memory (Dram), Negative-And (Nand) Flash Memory (Nand), Three-Dimensional Cross Point (3D Xpoint), Phase-Change Memory (Pcm), Magnetoresistive Random-Access Memory (Mram), Resistive Random-Access Memory (Rram Or Reram), Other Types
2) By Offering: Hardware, Software, Services
3) By Technology: Non-Volatile, Volatile
4) By Deployment Model: Public Cloud, Private Cloud, Hybrid Cloud
5) By End User: Information Technology And Telecommunication, Healthcare, Automotive, Consumer Goods, Manufacturing, Other End-Users
Subsegments:
1) By Dynamic Random-Access Memory (DRAM) Type: Synchronous DRAM (SDRAM), Double Data Rate DRAM (DDR), Low Power DRAM (LPDRAM), Registered DRAM (RDRAM)
2) By NAND Flash Memory Type: Single-Level Cell (SLC), Multi-Level Cell (MLC), Triple-Level Cell (TLC), Quad-Level Cell (QLC)
3) By Three-Dimensional Cross Point (3D XPoint) Type: Intel Optane Memory, Micron XPoint Modules, Hybrid Memory Modules
4) By Phase-Change Memory (PCM) Type: Single-Level Cell (SLC) Phase-Change Memory, Multi-Level Cell (MLC) Phase-Change Memory, Embedded Phase-Change Memory (PCM)
5) By Magnetoresistive Random-Access Memory (MRAM) Type: Spin-Transfer Torque MRAM (STT-MRAM), Toggle MRAM, Embedded MRAM
6) By Resistive Random-Access Memory (RRAM or ReRAM) Type: Filament-Based Resistive Random Access Memory, Oxide-Based Resistive Random Access Memory, Three-Dimensional (3D) Resistive Random Access Memory
7) By Other Types: Ferroelectric Random-Access Memory (FeRAM), Storage-Class Hybrid Memory, Non-Volatile Memory Express (NVMe)
Storage-Class Memory-Display Market Growth Trends Influencing Competitive Dynamics
Leading firms within the storage-class memory-display market are concentrating their efforts on creating memory modules that incorporate crossbar technology, facilitating simpler expansion for greater memory capacities. These crossbar technology-integrated memory modules represent memory units utilizing a crossbar grid arrangement to provide data storage and access that is compact, rapid, and energy-efficient. As an illustration, in February 2025, Numemory, a Chinese producer of advanced memory chips, introduced the NM101, which is a 64 Gb storage-class memory module. This device incorporates a 3D selector-only memory design along with crossbar architecture, allowing for high-performance storage-class memory to achieve transfer rates reaching 3200 MT/s. A single selector manages each cross-point within its array. By utilizing 3D stacking and an X8 bus operating at 1.2 V, it offers read/write speeds that are up to ten times quicker than standard NAND flash.
Storage-Class Memory-Display Market Key Players: Which Companies Shape Industry Competition?
Major companies operating in the storage-class memory-display market are Intel Corporation, Micron Technology Inc., Kioxia Holdings Corporation (Toshiba Memory Holding Corporation), SK Hynix Inc., Weebit Nano Ltd., 4DS Memory Limited, Hewlett Packard Enterprise (HPE), Marvell Technology Group, Fujitsu Limited, Renesas Electronics Corporation, Everspin Technologies Inc., International Business Machines Corp., Netlist Inc., NVIDIA Corporation, Nantero Inc., Avalanche Technology Inc., Spin Memory Inc., STMicroelectronics NV, Sandisk Corporation (Fusion-io), Seagate Technology Holdings Public Limited Company
Access The Complete Storage-Class Memory-Display Market Report:
Storage-Class Memory-Display Market Geographic Analysis: Where Is Demand Growing The Fastest?
North America was the largest region in the storage-class memory-display 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-display market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Get in touch with us:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.