Industry: Electronics & Semiconductor
Published Date: 2026-01-05
Pages: 93 Pages
Report ld: 5575027
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Computing in Memory Technology Market Size(US$)

CAGR 2026-2032
42.7%
Market Size,2032
USD 7,500
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Computing in Memory Technology market size was US$ 642 million in 2025 and is forecast to reach a readjusted size of US$ 7500 million by 2032 with a CAGR of 42.7% during the forecast period 2026-2032.
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.
The global Computing in Memory Technology market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2021-2032.
MARKET SEGMENTATION
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Computing in Memory Technology value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size and Growth by Type: 2021 vs 2025 vs 2032
1.2.2 Near-Memory Computing
1.2.3 In-memory Computing
1.2.4 Processing In Memory
1.3 Market by Application
1.3.1 Global Market Share by Application: 2021 vs 2025 vs 2032
1.3.2 Small Computing Power
1.3.3 Big Computing Power
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computing in Memory Technology Market Perspective (2021-2032)
2.2 Global Market Size by Region: 2021 vs 2025 vs 2032
2.3 Global Computing in Memory Technology Market Share by Revenue, by Region (2021-2026)
2.4 Global Computing in Memory Technology Revenue Forecast by Region (2027-2032)
2.5 Major Regions and Emerging Markets Analysis
2.5.1 North America Computing in Memory Technology Market Size and Prospective (2021-2032)
2.5.2 Europe Computing in Memory Technology Market Size and Prospective (2021-2032)
2.5.3 China Computing in Memory Technology Market Size and Prospective (2021-2032)
2.5.4 Japan Computing in Memory Technology Market Size and Prospective (2021-2032)
3 Breakdown Data by Type
3.1 Global Computing in Memory Technology Historical Market Size by Type (2021-2026)
3.2 Global Computing in Memory Technology Forecasted Market Size by Type (2027-2032)
3.3 Representative Players for Different Types of Computing in Memory Technology
4 Breakdown Data by Application
4.1 Global Computing in Memory Technology Historical Market Size by Application (2021-2026)
4.2 Global Computing in Memory Technology Forecasted Market Size by Application (2027-2032)
4.3 New Sources of Growth in Computing in Memory Technology Applications
5 Competitive Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Computing in Memory Technology Players by Revenue (2021-2026)
5.1.2 Global Computing in Memory Technology Market Share by Revenue, by Players (2021-2026)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Computing in Memory Technology Revenue
5.4 Global Computing in Memory Technology Market Concentration Analysis
5.4.1 Global Computing in Memory Technology Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Computing in Memory Technology Revenue in 2025
5.5 Global Key Players of Computing in Memory Technology Head Offices and Areas Served
5.6 Global Key Players of Computing in Memory Technology, Product and Application
5.7 Global Key Players of Computing in Memory Technology, Date of Entry into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments, Downstream and Major Customers
6.1.1 North America Computing in Memory Technology Revenue by Company (2021-2026)
6.1.2 North America Market Size by Type
6.1.2.1 North America Computing in Memory Technology Market Size by Type (2021-2026)
6.1.2.2 North America Computing in Memory Technology Market Share by Type (2021-2026)
6.1.3 North America Market Size by Application
6.1.3.1 North America Computing in Memory Technology Market Size by Application (2021-2026)
6.1.3.2 North America Computing in Memory Technology Market Share by Application (2021-2026)
6.1.4 North America Computing in Memory Technology Major Customers
6.1.5 North America Market Trends and Opportunities
6.2 Europe Market: Players, Segments, Downstream and Major Customers
6.2.1 Europe Computing in Memory Technology Revenue by Company (2021-2026)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Computing in Memory Technology Market Size by Type (2021-2026)
6.2.2.2 Europe Computing in Memory Technology Market Share by Type (2021-2026)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Computing in Memory Technology Market Size by Application (2021-2026)
6.2.3.2 Europe Computing in Memory Technology Market Share by Application (2021-2026)
6.2.4 Europe Computing in Memory Technology Major Customers
6.2.5 Europe Market Trends and Opportunities
6.3 China Market: Players, Segments, Downstream and Major Customers
6.3.1 China Computing in Memory Technology Revenue by Company (2021-2026)
6.3.2 China Market Size by Type
6.3.2.1 China Computing in Memory Technology Market Size by Type (2021-2026)
6.3.2.2 China Computing in Memory Technology Market Share by Type (2021-2026)
6.3.3 China Market Size by Application
6.3.3.1 China Computing in Memory Technology Market Size by Application (2021-2026)
6.3.3.2 China Computing in Memory Technology Market Share by Application (2021-2026)
6.3.4 China Computing in Memory Technology Major Customers
6.3.5 China Market Trends and Opportunities
6.4 Japan Market: Players, Segments, Downstream and Major Customers
6.4.1 Japan Computing in Memory Technology Revenue by Company (2021-2026)
6.4.2 Japan Market Size by Type
6.4.2.1 Japan Computing in Memory Technology Market Size by Type (2021-2026)
6.4.2.2 Japan Computing in Memory Technology Market Share by Type (2021-2026)
6.4.3 Japan Market Size by Application
6.4.3.1 Japan Computing in Memory Technology Market Size by Application (2021-2026)
6.4.3.2 Japan Computing in Memory Technology Market Share by Application (2021-2026)
6.4.4 Japan Computing in Memory Technology Major Customers
6.4.5 Japan Market Trends and Opportunities
7 Key Player Profiles
7.1 Syntiant
7.1.1 Syntiant Company Details
7.1.2 Syntiant Business Overview
7.1.3 Syntiant Computing in Memory Technology Introduction
7.1.4 Syntiant Revenue in Computing in Memory Technology Business (2021-2026)
7.1.5 Syntiant Recent Development
7.2 Zhicun(Witmem) Technology
7.2.1 Zhicun(Witmem) Technology Company Details
7.2.2 Zhicun(Witmem) Technology Business Overview
7.2.3 Zhicun(Witmem) Technology Computing in Memory Technology Introduction
7.2.4 Zhicun(Witmem) Technology Revenue in Computing in Memory Technology Business (2021-2026)
7.2.5 Zhicun(Witmem) Technology Recent Development
7.3 Reexen Technology
7.3.1 Reexen Technology Company Details
7.3.2 Reexen Technology Business Overview
7.3.3 Reexen Technology Computing in Memory Technology Introduction
7.3.4 Reexen Technology Revenue in Computing in Memory Technology Business (2021-2026)
7.3.5 Reexen Technology Recent Development
7.4 Graphcore
7.4.1 Graphcore Company Details
7.4.2 Graphcore Business Overview
7.4.3 Graphcore Computing in Memory Technology Introduction
7.4.4 Graphcore Revenue in Computing in Memory Technology Business (2021-2026)
7.4.5 Graphcore Recent Development
7.5 Mythic
7.5.1 Mythic Company Details
7.5.2 Mythic Business Overview
7.5.3 Mythic Computing in Memory Technology Introduction
7.5.4 Mythic Revenue in Computing in Memory Technology Business (2021-2026)
7.5.5 Mythic Recent Development
7.6 Shanyi Semiconductor
7.6.1 Shanyi Semiconductor Company Details
7.6.2 Shanyi Semiconductor Business Overview
7.6.3 Shanyi Semiconductor Computing in Memory Technology Introduction
7.6.4 Shanyi Semiconductor Revenue in Computing in Memory Technology Business (2021-2026)
7.6.5 Shanyi Semiconductor Recent Development
7.7 AistarTek
7.7.1 AistarTek Company Details
7.7.2 AistarTek Business Overview
7.7.3 AistarTek Computing in Memory Technology Introduction
7.7.4 AistarTek Revenue in Computing in Memory Technology Business (2021-2026)
7.7.5 AistarTek Recent Development
7.8 Samsung
7.8.1 Samsung Company Details
7.8.2 Samsung Business Overview
7.8.3 Samsung Computing in Memory Technology Introduction
7.8.4 Samsung Revenue in Computing in Memory Technology Business (2021-2026)
7.8.5 Samsung Recent Development
7.9 SK Hynix
7.9.1 SK Hynix Company Details
7.9.2 SK Hynix Business Overview
7.9.3 SK Hynix Computing in Memory Technology Introduction
7.9.4 SK Hynix Revenue in Computing in Memory Technology Business (2021-2026)
7.9.5 SK Hynix Recent Development
7.10 Houmo Technology
7.10.1 Houmo Technology Company Details
7.10.2 Houmo Technology Business Overview
7.10.3 Houmo Technology Computing in Memory Technology Introduction
7.10.4 Houmo Technology Revenue in Computing in Memory Technology Business (2021-2026)
7.10.5 Houmo Technology Recent Development
7.11 Pinxin Technology
7.11.1 Pinxin Technology Company Details
7.11.2 Pinxin Technology Business Overview
7.11.3 Pinxin Technology Computing in Memory Technology Introduction
7.11.4 Pinxin Technology Revenue in Computing in Memory Technology Business (2021-2026)
7.11.5 Pinxin Technology Recent Development
7.12 Yizhu Intelligent Technology
7.12.1 Yizhu Intelligent Technology Company Details
7.12.2 Yizhu Intelligent Technology Business Overview
7.12.3 Yizhu Intelligent Technology Computing in Memory Technology Introduction
7.12.4 Yizhu Intelligent Technology Revenue in Computing in Memory Technology Business (2021-2026)
7.12.5 Yizhu Intelligent Technology Recent Development
7.13 TensorChip
7.13.1 TensorChip Company Details
7.13.2 TensorChip Business Overview
7.13.3 TensorChip Computing in Memory Technology Introduction
7.13.4 TensorChip Revenue in Computing in Memory Technology Business (2021-2026)
7.13.5 TensorChip Recent Development
8 Computing in Memory Technology Market Dynamics
8.1 Computing in Memory Technology Industry Trends
8.2 Computing in Memory Technology Market Drivers
8.3 Computing in Memory Technology Market Challenges
8.4 Computing in Memory Technology Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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