Report Detail
Global Computing in Memory Technology Market 2026 by Company, Regions, Type and Application, Forecast to 2032
- RnM4666359 |
- 22 January, 2026 |
- Global |
- 109 Pages |
- GIR |
- Electronics & Semiconductor
According to our (Global Info Research) latest study, the global Computing in Memory Technology market size was valued at US$ 661 million in 2025 and is forecast to a readjusted size of US$ 7398 million by 2032 with a CAGR of 41.7% during review period.
As a new computing architecture, storage-computing integration is considered to be a revolutionary technology with potential and has received great attention at home and abroad. The core is to fully integrate storage and computing, effectively overcome the bottleneck of the von Neumann architecture, and combine advanced packaging and new storage devices in the post-Moore era to achieve an order of magnitude improvement in computing energy efficiency.
According to the distance between storage and computing, the technical solutions of generalized storage-computing integration are divided into three categories, namely, Processing Near Memory (PNM), Processing ln Memory (PlM) and Computing in Memory (CIM). In-memory computing is storage-computing integration in a narrow sense.
Global key players of Computing in Memory Technology include Syntiant, Zhicun(Witmem) Technology, Reexen Technology, Graphcore and Mythic, etc. The top five players hold a share over 80%. North America is the largest market, has a share about 50%. In terms of product type, In-memory Computing is the largest segment, occupied for a share of about 88%, and in terms of application, Small Computing Power has a share about 90 percent.
Analysis of the market drivers of Processing-in-Memory (PIM) technology,
1. Explosive growth in computing power demand: the underlying pressure of AI and big data
Demand for AI training and reasoning:
The global AI chip market is expected to reach US$120 billion in 2025, of which 75% of computing power is consumed in data transfer (not computing itself).
Large-scale language models (such as GPT-5) have more than 10 trillion parameters, and processing-in-memory (PIM) can improve the efficiency of sparse matrix operations by 3-5 times.
Data center energy consumption crisis:
Global data center power consumption accounts for 1.5% of total power demand, and data transfer energy consumption accounts for 40% in traditional architectures. Processing-in-Memory (PIM) can reduce energy consumption by more than 50% by reducing the memory wall effect.
2. Moore's Law slows down: an inevitable choice for architectural innovation
Process bottleneck:
The cost of advanced processes (below 3nm) has soared, and the marginal benefits of increasing transistor density have diminished. Processing-in-Memory integrates computing units through 3D stacking processes (such as HBM3) to break through the limitations of planar processes.
Heterogeneous computing needs:
Scenarios such as AI and graphics processing require customized computing units. Storage and computing integration supports the collaborative design of the logic layer and the storage layer to improve the efficiency of dedicated accelerators.
3. New storage technologies mature: hardware foundation is ready
Non-volatile memory (NVM) rises:
New memories such as ReRAM, MRAM, and PCM have analog computing capabilities and are naturally adapted to the storage and computing integration architecture. For example, the resistance state of ReRAM can directly participate in matrix operations.
Storage-class memory (SCM) popularization:
SCM technologies such as Intel Optane and Samsung Z-NAND have been mass-produced, providing PIM with high-performance, low-latency storage media.
4. Edge computing and IoT scenarios: energy efficiency revolution
The computing power dilemma of end-side devices:
Devices such as autonomous driving, AR/VR need to process massive amounts of data locally (such as 8K video streams). Storage and computing integration can reduce power consumption by 70% and extend battery life by 2-3 times.
Real-time requirements:
Predictive maintenance in industrial IoT needs to respond within microseconds, and storage and computing integration reduces data processing latency from milliseconds to nanoseconds.
5. Software ecology and algorithm collaboration: application scenario expansion
Sparse algorithm optimization:
Sparse matrices account for more than 95% of neural networks, and storage and computing integration can skip zero-value calculations, improving efficiency by more than 10 times.
Programming model evolution:
PIM-oriented spatial computing paradigms (such as NDA and GenASM) are gradually maturing, and developers can call computing units in storage.
6. Policy and capital promotion: global technology competition upgrades
National strategic support:
The US CHIPS Act and the EU's European Processor Initiative both list storage and computing integration as key directions. China's "14th Five-Year Plan" clearly supports the development of storage and computing integrated chips.
Capital inflow:
In 2023, global PIM financing will exceed US$5 billion, and giants such as Samsung, SK Hynix, and TSMC will accelerate their layout, and start-ups such as Mythic and UPMEM will receive multiple rounds of financing.
7. Supply chain reconstruction: from vertical integration to open collaboration
Industry chain collaboration:
Memory manufacturers (Micron, Kioxia) and IP suppliers (Synopsys, Cadence) cooperate to develop PIM design tool chains.
Foundries (SMIC, UMC) launched 2.5D/3D packaging technology to support mass production of integrated storage and computing chips.
Summary: The integrated storage and computing technology market is driven by computing power demand, hardware innovation, and policy capital. The core competition will focus on process integration capabilities (such as 3D stacking), algorithm-hardware co-design, and ecological openness. Chinese companies need to overcome the shortcomings of memory media and EDA tools and accelerate the commercialization of AI and edge scenarios.
This report is a detailed and comprehensive analysis for global Computing in Memory Technology market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Computing in Memory Technology market size and forecasts, in consumption value ($ Million), 2021-2032
Global Computing in Memory Technology market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global Computing in Memory Technology market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global Computing in Memory Technology market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Computing in Memory Technology
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Computing in Memory Technology market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Syntiant, Zhicun(Witmem) Technology, Reexen Technology, Graphcore, Mythic, Shanyi Semiconductor, AistarTek, Samsung, SK Hynix, Houmo Technology, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Computing in Memory Technology market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Near-Memory Computing
In-memory Computing
Processing In Memory
Market segment by Application
Small Computing Power
Big Computing Power
Market segment by players, this report covers
Syntiant
Zhicun(Witmem) Technology
Reexen Technology
Graphcore
Mythic
Shanyi Semiconductor
AistarTek
Samsung
SK Hynix
Houmo Technology
Pinxin Technology
Yizhu Intelligent Technology
TensorChip
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Computing in Memory Technology product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Computing in Memory Technology, with revenue, gross margin, and global market share of Computing in Memory Technology from 2021 to 2026.
Chapter 3, the Computing in Memory Technology competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and Computing in Memory Technology market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Computing in Memory Technology.
Chapter 13, to describe Computing in Memory Technology research findings and conclusion.
1 Market Overview
- 1.1 Product Overview and Scope
- 1.2 Market Estimation Caveats and Base Year
- 1.3 Classification of Computing in Memory Technology by Type
- 1.3.1 Overview: Global Computing in Memory Technology Market Size by Type: 2021 Versus 2025 Versus 2032
- 1.3.2 Global Computing in Memory Technology Consumption Value Market Share by Type in 2025
- 1.3.3 Near-Memory Computing
- 1.3.4 In-memory Computing
- 1.3.5 Processing In Memory
- 1.4 Global Computing in Memory Technology Market by Application
- 1.4.1 Overview: Global Computing in Memory Technology Market Size by Application: 2021 Versus 2025 Versus 2032
- 1.4.2 Small Computing Power
- 1.4.3 Big Computing Power
- 1.5 Global Computing in Memory Technology Market Size & Forecast
- 1.6 Global Computing in Memory Technology Market Size and Forecast by Region
- 1.6.1 Global Computing in Memory Technology Market Size by Region: 2021 VS 2025 VS 2032
- 1.6.2 Global Computing in Memory Technology Market Size by Region, (2021-2032)
- 1.6.3 North America Computing in Memory Technology Market Size and Prospect (2021-2032)
- 1.6.4 Europe Computing in Memory Technology Market Size and Prospect (2021-2032)
- 1.6.5 Asia-Pacific Computing in Memory Technology Market Size and Prospect (2021-2032)
- 1.6.6 South America Computing in Memory Technology Market Size and Prospect (2021-2032)
- 1.6.7 Middle East & Africa Computing in Memory Technology Market Size and Prospect (2021-2032)
2 Company Profiles
- 2.1 Syntiant
- 2.1.1 Syntiant Details
- 2.1.2 Syntiant Major Business
- 2.1.3 Syntiant Computing in Memory Technology Product and Solutions
- 2.1.4 Syntiant Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.1.5 Syntiant Recent Developments and Future Plans
- 2.2 Zhicun(Witmem) Technology
- 2.2.1 Zhicun(Witmem) Technology Details
- 2.2.2 Zhicun(Witmem) Technology Major Business
- 2.2.3 Zhicun(Witmem) Technology Computing in Memory Technology Product and Solutions
- 2.2.4 Zhicun(Witmem) Technology Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.2.5 Zhicun(Witmem) Technology Recent Developments and Future Plans
- 2.3 Reexen Technology
- 2.3.1 Reexen Technology Details
- 2.3.2 Reexen Technology Major Business
- 2.3.3 Reexen Technology Computing in Memory Technology Product and Solutions
- 2.3.4 Reexen Technology Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.3.5 Reexen Technology Recent Developments and Future Plans
- 2.4 Graphcore
- 2.4.1 Graphcore Details
- 2.4.2 Graphcore Major Business
- 2.4.3 Graphcore Computing in Memory Technology Product and Solutions
- 2.4.4 Graphcore Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.4.5 Graphcore Recent Developments and Future Plans
- 2.5 Mythic
- 2.5.1 Mythic Details
- 2.5.2 Mythic Major Business
- 2.5.3 Mythic Computing in Memory Technology Product and Solutions
- 2.5.4 Mythic Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.5.5 Mythic Recent Developments and Future Plans
- 2.6 Shanyi Semiconductor
- 2.6.1 Shanyi Semiconductor Details
- 2.6.2 Shanyi Semiconductor Major Business
- 2.6.3 Shanyi Semiconductor Computing in Memory Technology Product and Solutions
- 2.6.4 Shanyi Semiconductor Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.6.5 Shanyi Semiconductor Recent Developments and Future Plans
- 2.7 AistarTek
- 2.7.1 AistarTek Details
- 2.7.2 AistarTek Major Business
- 2.7.3 AistarTek Computing in Memory Technology Product and Solutions
- 2.7.4 AistarTek Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.7.5 AistarTek Recent Developments and Future Plans
- 2.8 Samsung
- 2.8.1 Samsung Details
- 2.8.2 Samsung Major Business
- 2.8.3 Samsung Computing in Memory Technology Product and Solutions
- 2.8.4 Samsung Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.8.5 Samsung Recent Developments and Future Plans
- 2.9 SK Hynix
- 2.9.1 SK Hynix Details
- 2.9.2 SK Hynix Major Business
- 2.9.3 SK Hynix Computing in Memory Technology Product and Solutions
- 2.9.4 SK Hynix Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.9.5 SK Hynix Recent Developments and Future Plans
- 2.10 Houmo Technology
- 2.10.1 Houmo Technology Details
- 2.10.2 Houmo Technology Major Business
- 2.10.3 Houmo Technology Computing in Memory Technology Product and Solutions
- 2.10.4 Houmo Technology Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.10.5 Houmo Technology Recent Developments and Future Plans
- 2.11 Pinxin Technology
- 2.11.1 Pinxin Technology Details
- 2.11.2 Pinxin Technology Major Business
- 2.11.3 Pinxin Technology Computing in Memory Technology Product and Solutions
- 2.11.4 Pinxin Technology Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.11.5 Pinxin Technology Recent Developments and Future Plans
- 2.12 Yizhu Intelligent Technology
- 2.12.1 Yizhu Intelligent Technology Details
- 2.12.2 Yizhu Intelligent Technology Major Business
- 2.12.3 Yizhu Intelligent Technology Computing in Memory Technology Product and Solutions
- 2.12.4 Yizhu Intelligent Technology Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.12.5 Yizhu Intelligent Technology Recent Developments and Future Plans
- 2.13 TensorChip
- 2.13.1 TensorChip Details
- 2.13.2 TensorChip Major Business
- 2.13.3 TensorChip Computing in Memory Technology Product and Solutions
- 2.13.4 TensorChip Computing in Memory Technology Revenue, Gross Margin and Market Share (2021-2026)
- 2.13.5 TensorChip Recent Developments and Future Plans
3 Market Competition, by Players
- 3.1 Global Computing in Memory Technology Revenue and Share by Players (2021-2026)
- 3.2 Market Share Analysis (2025)
- 3.2.1 Market Share of Computing in Memory Technology by Company Revenue
- 3.2.2 Top 3 Computing in Memory Technology Players Market Share in 2025
- 3.2.3 Top 6 Computing in Memory Technology Players Market Share in 2025
- 3.3 Computing in Memory Technology Market: Overall Company Footprint Analysis
- 3.3.1 Computing in Memory Technology Market: Region Footprint
- 3.3.2 Computing in Memory Technology Market: Company Product Type Footprint
- 3.3.3 Computing in Memory Technology Market: Company Product Application Footprint
- 3.4 New Market Entrants and Barriers to Market Entry
- 3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
- 4.1 Global Computing in Memory Technology Consumption Value and Market Share by Type (2021-2026)
- 4.2 Global Computing in Memory Technology Market Forecast by Type (2027-2032)
5 Market Size Segment by Application
- 5.1 Global Computing in Memory Technology Consumption Value Market Share by Application (2021-2026)
- 5.2 Global Computing in Memory Technology Market Forecast by Application (2027-2032)
6 North America
- 6.1 North America Computing in Memory Technology Consumption Value by Type (2021-2032)
- 6.2 North America Computing in Memory Technology Market Size by Application (2021-2032)
- 6.3 North America Computing in Memory Technology Market Size by Country
- 6.3.1 North America Computing in Memory Technology Consumption Value by Country (2021-2032)
- 6.3.2 United States Computing in Memory Technology Market Size and Forecast (2021-2032)
- 6.3.3 Canada Computing in Memory Technology Market Size and Forecast (2021-2032)
- 6.3.4 Mexico Computing in Memory Technology Market Size and Forecast (2021-2032)
7 Europe
- 7.1 Europe Computing in Memory Technology Consumption Value by Type (2021-2032)
- 7.2 Europe Computing in Memory Technology Consumption Value by Application (2021-2032)
- 7.3 Europe Computing in Memory Technology Market Size by Country
- 7.3.1 Europe Computing in Memory Technology Consumption Value by Country (2021-2032)
- 7.3.2 Germany Computing in Memory Technology Market Size and Forecast (2021-2032)
- 7.3.3 France Computing in Memory Technology Market Size and Forecast (2021-2032)
- 7.3.4 United Kingdom Computing in Memory Technology Market Size and Forecast (2021-2032)
- 7.3.5 Russia Computing in Memory Technology Market Size and Forecast (2021-2032)
- 7.3.6 Italy Computing in Memory Technology Market Size and Forecast (2021-2032)
8 Asia-Pacific
- 8.1 Asia-Pacific Computing in Memory Technology Consumption Value by Type (2021-2032)
- 8.2 Asia-Pacific Computing in Memory Technology Consumption Value by Application (2021-2032)
- 8.3 Asia-Pacific Computing in Memory Technology Market Size by Region
- 8.3.1 Asia-Pacific Computing in Memory Technology Consumption Value by Region (2021-2032)
- 8.3.2 China Computing in Memory Technology Market Size and Forecast (2021-2032)
- 8.3.3 Japan Computing in Memory Technology Market Size and Forecast (2021-2032)
- 8.3.4 South Korea Computing in Memory Technology Market Size and Forecast (2021-2032)
- 8.3.5 India Computing in Memory Technology Market Size and Forecast (2021-2032)
- 8.3.6 Southeast Asia Computing in Memory Technology Market Size and Forecast (2021-2032)
- 8.3.7 Australia Computing in Memory Technology Market Size and Forecast (2021-2032)
9 South America
- 9.1 South America Computing in Memory Technology Consumption Value by Type (2021-2032)
- 9.2 South America Computing in Memory Technology Consumption Value by Application (2021-2032)
- 9.3 South America Computing in Memory Technology Market Size by Country
- 9.3.1 South America Computing in Memory Technology Consumption Value by Country (2021-2032)
- 9.3.2 Brazil Computing in Memory Technology Market Size and Forecast (2021-2032)
- 9.3.3 Argentina Computing in Memory Technology Market Size and Forecast (2021-2032)
10 Middle East & Africa
- 10.1 Middle East & Africa Computing in Memory Technology Consumption Value by Type (2021-2032)
- 10.2 Middle East & Africa Computing in Memory Technology Consumption Value by Application (2021-2032)
- 10.3 Middle East & Africa Computing in Memory Technology Market Size by Country
- 10.3.1 Middle East & Africa Computing in Memory Technology Consumption Value by Country (2021-2032)
- 10.3.2 Turkey Computing in Memory Technology Market Size and Forecast (2021-2032)
- 10.3.3 Saudi Arabia Computing in Memory Technology Market Size and Forecast (2021-2032)
- 10.3.4 UAE Computing in Memory Technology Market Size and Forecast (2021-2032)
11 Market Dynamics
- 11.1 Computing in Memory Technology Market Drivers
- 11.2 Computing in Memory Technology Market Restraints
- 11.3 Computing in Memory Technology Trends Analysis
- 11.4 Porters Five Forces Analysis
- 11.4.1 Threat of New Entrants
- 11.4.2 Bargaining Power of Suppliers
- 11.4.3 Bargaining Power of Buyers
- 11.4.4 Threat of Substitutes
- 11.4.5 Competitive Rivalry
12 Industry Chain Analysis
- 12.1 Computing in Memory Technology Industry Chain
- 12.2 Computing in Memory Technology Upstream Analysis
- 12.3 Computing in Memory Technology Midstream Analysis
- 12.4 Computing in Memory Technology Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
- 14.1 Methodology
- 14.2 Research Process and Data Source
Summary:
Get latest Market Research Reports on Computing in Memory Technology. Industry analysis & Market Report on Computing in Memory Technology is a syndicated market report, published as Global Computing in Memory Technology Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Computing in Memory Technology market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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