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Global Computing in Memory Technology Market Outlook, In‑Depth Analysis & Forecast to 2031
Industry: Electronics & Semiconductor
Published Date: 2025-07-31
Pages: 145 Pages
Report ld: 4798578
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Computing in Memory Technology Market Size(US$)
CAGR 2025-2031
42.7%
Market Size,2031
USD 5,419
Million
Market Snapshot
Market Size in 2025 (Value)
US$ 642 million
Market Forecast in 2031(Value)
US$ 5,419 million
CAGR
42.7%
Years Considered
2020-2031
Base Year
2025
Forecast Period
2025-2031
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Computing in Memory Technology market is projected to grow from US$ 268 million in 2024 to US$ 5419 million by 2031, at a CAGR of 42.7% (2025-2031), driven by critical product segments and diverse end‑use applications.
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.
Report Includes:
This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global Computing in Memory Technology market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
MARKET SEGMENTATION
By Company
- Syntiant
- Zhicun(Witmem) Technology
- Reexen Technology
- Graphcore
- Mythic
- Shanyi Semiconductor
- AistarTek
- Samsung
- SK Hynix
- Houmo Technology
- Pinxin Technology
- Yizhu Intelligent Technology
- TensorChip
Consumption by Region
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Segment by Type
- Near-Memory Computing
- In-memory Computing
- Processing In Memory
Segment by Application
- Small Computing Power
- Big Computing Power
CHAPTER OUTLINE
Chapter 1: Defines the Computing in Memory Technology study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 14: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.
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:
Market entry risks/opportunities by region
We identify regional market threats and growth prospects to guide your overseas layout.
Product mix optimization based on local practices
We adjust product portfolios in line with local consumption habits.
Competitor tactics in fragmented vs. consolidated markets
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
Full Research Coverage
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
19 Years Industry Expertise
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
24/7 Fast Report Delivery
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
Localized Strategic Analysis
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
Market entry risks/opportunities by region
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
Market entry risks/opportunities by region
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 Introduction to Computing in Memory Technology: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Computing in Memory Technology Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Near-Memory Computing
1.2.3 In-memory Computing
1.2.4 Processing In Memory
1.3 Market Segmentation by Application
1.3.1 Global Computing in Memory Technology Market Size by Application, 2020 VS 2024 VS 2031
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 Executive Summary
2.1 Global Computing in Memory Technology Revenue Estimates and Forecasts 2020-2031
2.2 Global Computing in Memory Technology Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global Computing in Memory Technology Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global Computing in Memory Technology Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Near-Memory Computing Market Size by Players
3.3.2 In-memory Computing Market Size by Players
3.3.3 Processing In Memory Market Size by Players
3.4 Global Computing in Memory Technology Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global Computing in Memory Technology Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global Computing in Memory Technology Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America Computing in Memory Technology Market Size by Type (2020-2031)
6.4 North America Computing in Memory Technology Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America Computing in Memory Technology Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe Computing in Memory Technology Market Size by Type (2020-2031)
7.4 Europe Computing in Memory Technology Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe Computing in Memory Technology Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific Computing in Memory Technology Market Size by Type (2020-2031)
8.4 Asia-Pacific Computing in Memory Technology Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific Computing in Memory Technology Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America Computing in Memory Technology Market Size by Type (2020-2031)
9.4 Central and South America Computing in Memory Technology Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America Computing in Memory Technology Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa Computing in Memory Technology Market Size by Type (2020-2031)
10.4 Middle East and Africa Computing in Memory Technology Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa Computing in Memory Technology Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 Syntiant
11.1.1 Syntiant Corporation Information
11.1.2 Syntiant Business Overview
11.1.3 Syntiant Computing in Memory Technology Product Features and Attributes
11.1.4 Syntiant Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.1.5 Syntiant Computing in Memory Technology Revenue by Product in 2024
11.1.6 Syntiant Computing in Memory Technology Revenue by Application in 2024
11.1.7 Syntiant Computing in Memory Technology Revenue by Geographic Area in 2024
11.1.8 Syntiant Computing in Memory Technology SWOT Analysis
11.1.9 Syntiant Recent Developments
11.2 Zhicun(Witmem) Technology
11.2.1 Zhicun(Witmem) Technology Corporation Information
11.2.2 Zhicun(Witmem) Technology Business Overview
11.2.3 Zhicun(Witmem) Technology Computing in Memory Technology Product Features and Attributes
11.2.4 Zhicun(Witmem) Technology Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.2.5 Zhicun(Witmem) Technology Computing in Memory Technology Revenue by Product in 2024
11.2.6 Zhicun(Witmem) Technology Computing in Memory Technology Revenue by Application in 2024
11.2.7 Zhicun(Witmem) Technology Computing in Memory Technology Revenue by Geographic Area in 2024
11.2.8 Zhicun(Witmem) Technology Computing in Memory Technology SWOT Analysis
11.2.9 Zhicun(Witmem) Technology Recent Developments
11.3 Reexen Technology
11.3.1 Reexen Technology Corporation Information
11.3.2 Reexen Technology Business Overview
11.3.3 Reexen Technology Computing in Memory Technology Product Features and Attributes
11.3.4 Reexen Technology Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.3.5 Reexen Technology Computing in Memory Technology Revenue by Product in 2024
11.3.6 Reexen Technology Computing in Memory Technology Revenue by Application in 2024
11.3.7 Reexen Technology Computing in Memory Technology Revenue by Geographic Area in 2024
11.3.8 Reexen Technology Computing in Memory Technology SWOT Analysis
11.3.9 Reexen Technology Recent Developments
11.4 Graphcore
11.4.1 Graphcore Corporation Information
11.4.2 Graphcore Business Overview
11.4.3 Graphcore Computing in Memory Technology Product Features and Attributes
11.4.4 Graphcore Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.4.5 Graphcore Computing in Memory Technology Revenue by Product in 2024
11.4.6 Graphcore Computing in Memory Technology Revenue by Application in 2024
11.4.7 Graphcore Computing in Memory Technology Revenue by Geographic Area in 2024
11.4.8 Graphcore Computing in Memory Technology SWOT Analysis
11.4.9 Graphcore Recent Developments
11.5 Mythic
11.5.1 Mythic Corporation Information
11.5.2 Mythic Business Overview
11.5.3 Mythic Computing in Memory Technology Product Features and Attributes
11.5.4 Mythic Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.5.5 Mythic Computing in Memory Technology Revenue by Product in 2024
11.5.6 Mythic Computing in Memory Technology Revenue by Application in 2024
11.5.7 Mythic Computing in Memory Technology Revenue by Geographic Area in 2024
11.5.8 Mythic Computing in Memory Technology SWOT Analysis
11.5.9 Mythic Recent Developments
11.6 Shanyi Semiconductor
11.6.1 Shanyi Semiconductor Corporation Information
11.6.2 Shanyi Semiconductor Business Overview
11.6.3 Shanyi Semiconductor Computing in Memory Technology Product Features and Attributes
11.6.4 Shanyi Semiconductor Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.6.5 Shanyi Semiconductor Recent Developments
11.7 AistarTek
11.7.1 AistarTek Corporation Information
11.7.2 AistarTek Business Overview
11.7.3 AistarTek Computing in Memory Technology Product Features and Attributes
11.7.4 AistarTek Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.7.5 AistarTek Recent Developments
11.8 Samsung
11.8.1 Samsung Corporation Information
11.8.2 Samsung Business Overview
11.8.3 Samsung Computing in Memory Technology Product Features and Attributes
11.8.4 Samsung Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.8.5 Samsung Recent Developments
11.9 SK Hynix
11.9.1 SK Hynix Corporation Information
11.9.2 SK Hynix Business Overview
11.9.3 SK Hynix Computing in Memory Technology Product Features and Attributes
11.9.4 SK Hynix Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.9.5 SK Hynix Recent Developments
11.10 Houmo Technology
11.10.1 Houmo Technology Corporation Information
11.10.2 Houmo Technology Business Overview
11.10.3 Houmo Technology Computing in Memory Technology Product Features and Attributes
11.10.4 Houmo Technology Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
11.11 Pinxin Technology
11.11.1 Pinxin Technology Corporation Information
11.11.2 Pinxin Technology Business Overview
11.11.3 Pinxin Technology Computing in Memory Technology Product Features and Attributes
11.11.4 Pinxin Technology Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.11.5 Pinxin Technology Recent Developments
11.12 Yizhu Intelligent Technology
11.12.1 Yizhu Intelligent Technology Corporation Information
11.12.2 Yizhu Intelligent Technology Business Overview
11.12.3 Yizhu Intelligent Technology Computing in Memory Technology Product Features and Attributes
11.12.4 Yizhu Intelligent Technology Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.12.5 Yizhu Intelligent Technology Recent Developments
11.13 TensorChip
11.13.1 TensorChip Corporation Information
11.13.2 TensorChip Business Overview
11.13.3 TensorChip Computing in Memory Technology Product Features and Attributes
11.13.4 TensorChip Computing in Memory Technology Revenue and Gross Margin (2020-2025)
11.13.5 TensorChip Recent Developments
12 Computing in Memory TechnologyIndustry Chain Analysis
12.1 Computing in Memory Technology Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Computing in Memory Technology Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Computing in Memory Technology Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
TABLE OF FIGURES
List of Tables
Table 1. Global Computing in Memory Technology Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
Table 2. Global Computing in Memory Technology Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
Table 3. Global Computing in Memory Technology Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Table 4. Global Computing in Memory Technology Revenue by Region (2020-2025) & (US$ Million)
Table 5. Global Computing in Memory Technology Revenue by Region (2026-2031) & (US$ Million)
Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 7. Global Computing in Memory Technology Revenue by Players (2020-2025) & (US$ Million)
Table 8. Global Computing in Memory Technology Revenue Market Share by Players (2020-2025)
Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
Table 10. Global Computing in Memory Technology by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Computing in Memory Technology as of 2024)
Table 11. Global Computing in Memory Technology Average Gross Margin (%) by Player (2020 VS 2024)
Table 12. Global Computing in Memory Technology Companies Headquarters
Table 13. Global Computing in Memory Technology Market Concentration Ratio (CR5 and HHI)
Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
Table 16. Global Computing in Memory Technology Revenue by Type (2020-2025) & (US$ Million)
Table 17. Global Computing in Memory Technology Revenue by Type (2026-2031) & (US$ Million)
Table 18. Key Product Attributes and Differentiation
Table 19. Global Computing in Memory Technology Revenue by Application (2020-2025) & (US$ Million)
Table 20. Global Computing in Memory Technology Revenue by Application (2026-2031) & (US$ Million)
Table 21. Computing in Memory Technology High-Growth Sectors Demand CAGR (2024-2031)
Table 22. Top Customers by Region
Table 23. Top Customers by Application
Table 24. North America Computing in Memory Technology Growth Accelerators and Market Barriers
Table 25. North America Computing in Memory Technology Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 26. Europe Computing in Memory Technology Growth Accelerators and Market Barriers
Table 27. Europe Computing in Memory Technology Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
Table 28. Asia-Pacific Computing in Memory Technology Growth Accelerators and Market Barriers
Table 29. Asia-Pacific Computing in Memory Technology Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Table 30. Central and South America Computing in Memory Technology Investment Opportunities and Key Challenges
Table 31. Central and South America Computing in Memory Technology Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 32. Middle East and Africa Computing in Memory Technology Investment Opportunities and Key Challenges
Table 33. Middle East and Africa Computing in Memory Technology Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 34. Syntiant Corporation Information
Table 35. Syntiant Description and Major Businesses
Table 36. Syntiant Product Features and Attributes
Table 37. Syntiant Revenue (US$ Million) and Gross Margin (2020-2025)
Table 38. Syntiant Revenue Proportion by Product in 2024
Table 39. Syntiant Revenue Proportion by Application in 2024
Table 40. Syntiant Revenue Proportion by Geographic Area in 2024
Table 41. Syntiant Computing in Memory Technology SWOT Analysis
Table 42. Syntiant Recent Developments
Table 43. Zhicun(Witmem) Technology Corporation Information
Table 44. Zhicun(Witmem) Technology Description and Major Businesses
Table 45. Zhicun(Witmem) Technology Product Features and Attributes
Table 46. Zhicun(Witmem) Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 47. Zhicun(Witmem) Technology Revenue Proportion by Product in 2024
Table 48. Zhicun(Witmem) Technology Revenue Proportion by Application in 2024
Table 49. Zhicun(Witmem) Technology Revenue Proportion by Geographic Area in 2024
Table 50. Zhicun(Witmem) Technology Computing in Memory Technology SWOT Analysis
Table 51. Zhicun(Witmem) Technology Recent Developments
Table 52. Reexen Technology Corporation Information
Table 53. Reexen Technology Description and Major Businesses
Table 54. Reexen Technology Product Features and Attributes
Table 55. Reexen Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 56. Reexen Technology Revenue Proportion by Product in 2024
Table 57. Reexen Technology Revenue Proportion by Application in 2024
Table 58. Reexen Technology Revenue Proportion by Geographic Area in 2024
Table 59. Reexen Technology Computing in Memory Technology SWOT Analysis
Table 60. Reexen Technology Recent Developments
Table 61. Graphcore Corporation Information
Table 62. Graphcore Description and Major Businesses
Table 63. Graphcore Product Features and Attributes
Table 64. Graphcore Revenue (US$ Million) and Gross Margin (2020-2025)
Table 65. Graphcore Revenue Proportion by Product in 2024
Table 66. Graphcore Revenue Proportion by Application in 2024
Table 67. Graphcore Revenue Proportion by Geographic Area in 2024
Table 68. Graphcore Computing in Memory Technology SWOT Analysis
Table 69. Graphcore Recent Developments
Table 70. Mythic Corporation Information
Table 71. Mythic Description and Major Businesses
Table 72. Mythic Product Features and Attributes
Table 73. Mythic Revenue (US$ Million) and Gross Margin (2020-2025)
Table 74. Mythic Revenue Proportion by Product in 2024
Table 75. Mythic Revenue Proportion by Application in 2024
Table 76. Mythic Revenue Proportion by Geographic Area in 2024
Table 77. Mythic Computing in Memory Technology SWOT Analysis
Table 78. Mythic Recent Developments
Table 79. Shanyi Semiconductor Corporation Information
Table 80. Shanyi Semiconductor Description and Major Businesses
Table 81. Shanyi Semiconductor Product Features and Attributes
Table 82. Shanyi Semiconductor Revenue (US$ Million) and Gross Margin (2020-2025)
Table 83. Shanyi Semiconductor Recent Developments
Table 84. AistarTek Corporation Information
Table 85. AistarTek Description and Major Businesses
Table 86. AistarTek Product Features and Attributes
Table 87. AistarTek Revenue (US$ Million) and Gross Margin (2020-2025)
Table 88. AistarTek Recent Developments
Table 89. Samsung Corporation Information
Table 90. Samsung Description and Major Businesses
Table 91. Samsung Product Features and Attributes
Table 92. Samsung Revenue (US$ Million) and Gross Margin (2020-2025)
Table 93. Samsung Recent Developments
Table 94. SK Hynix Corporation Information
Table 95. SK Hynix Description and Major Businesses
Table 96. SK Hynix Product Features and Attributes
Table 97. SK Hynix Revenue (US$ Million) and Gross Margin (2020-2025)
Table 98. SK Hynix Recent Developments
Table 99. Houmo Technology Corporation Information
Table 100. Houmo Technology Description and Major Businesses
Table 101. Houmo Technology Product Features and Attributes
Table 102. Houmo Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 103. Houmo Technology Recent Developments
Table 104. Pinxin Technology Corporation Information
Table 105. Pinxin Technology Description and Major Businesses
Table 106. Pinxin Technology Product Features and Attributes
Table 107. Pinxin Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 108. Pinxin Technology Recent Developments
Table 109. Yizhu Intelligent Technology Corporation Information
Table 110. Yizhu Intelligent Technology Description and Major Businesses
Table 111. Yizhu Intelligent Technology Product Features and Attributes
Table 112. Yizhu Intelligent Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 113. Yizhu Intelligent Technology Recent Developments
Table 114. TensorChip Corporation Information
Table 115. TensorChip Description and Major Businesses
Table 116. TensorChip Product Features and Attributes
Table 117. TensorChip Revenue (US$ Million) and Gross Margin (2020-2025)
Table 118. TensorChip Recent Developments
Table 119. Raw Materials Key Suppliers
Table 120. Distributors List
Table 121. Market Trends and Market Evolution
Table 122. Market Drivers and Opportunities
Table 123. Market Challenges, Risks, and Restraints
Table 124. Research Programs/Design for This Report
Table 125. Key Data Information from Secondary Sources
Table 126. Key Data Information from Primary Sources
List of Figures
Figure 1. Computing in Memory Technology Product Picture
Figure 2. Global Computing in Memory Technology Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
Figure 3. Near-Memory Computing Product Picture
Figure 4. In-memory Computing Product Picture
Figure 5. Processing In Memory Product Picture
Figure 6. Global Computing in Memory Technology Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
Figure 7. Small Computing Power
Figure 8. Big Computing Power
Figure 9. Computing in Memory Technology Report Years Considered
Figure 10. Global Computing in Memory Technology Revenue, (US$ Million), 2020 VS 2024 VS 2031
Figure 11. Global Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 12. Global Computing in Memory Technology Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Figure 13. Global Computing in Memory Technology Revenue Market Share by Region (2020-2031)
Figure 14. Global Computing in Memory Technology Revenue Market Share Ranking (2024)
Figure 15. Tier Distribution by Revenue Contribution (2020 VS 2024)
Figure 16. Near-Memory Computing Revenue Market Share by Player in 2024
Figure 17. In-memory Computing Revenue Market Share by Player in 2024
Figure 18. Processing In Memory Revenue Market Share by Player in 2024
Figure 19. Global Computing in Memory Technology Revenue Market Share by Type (2020-2031)
Figure 20. Global Computing in Memory Technology Revenue Market Share by Application (2020-2031)
Figure 21. North America Computing in Memory Technology Revenue YoY (2020-2031) & (US$ Million)
Figure 22. North America Top 5 Players Computing in Memory Technology Revenue (US$ Million) in 2024
Figure 23. North America Computing in Memory Technology Revenue (US$ Million) by Type (2020 - 2031)
Figure 24. North America Computing in Memory Technology Revenue (US$ Million) by Application (2020-2031)
Figure 25. US Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 26. Canada Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 27. Mexico Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 28. Europe Computing in Memory Technology Revenue YoY (2020-2031) & (US$ Million)
Figure 29. Europe Top 5 Players Computing in Memory Technology Revenue (US$ Million) in 2024
Figure 30. Europe Computing in Memory Technology Revenue (US$ Million) by Type (2020-2031)
Figure 31. Europe Computing in Memory Technology Revenue (US$ Million) by Application (2020-2031)
Figure 32. Germany Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 33. France Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 34. U.K. Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 35. Italy Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 36. Russia Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 37. Asia-Pacific Computing in Memory Technology Revenue YoY (2020-2031) & (US$ Million)
Figure 38. Asia-Pacific Top 8 Players Computing in Memory Technology Revenue (US$ Million) in 2024
Figure 39. Asia-Pacific Computing in Memory Technology Revenue (US$ Million) by Type (2020-2031)
Figure 40. Asia-Pacific Computing in Memory Technology Revenue (US$ Million) by Application (2020-2031)
Figure 41. Indonesia Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 42. Japan Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 43. South Korea Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 44. Australia Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 45. India Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 46. Indonesia Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 47. Vietnam Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 48. Malaysia Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 49. Philippines Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 50. Singapore Computing in Memory Technology Revenue (2020-2031) & (US$ Million)
Figure 51. Central and South America Computing in Memory Technology Revenue YoY (2020-2031) & (US$ Million)
Figure 52. Central and South America Top 5 Players Computing in Memory Technology Revenue (US$ Million) in 2024
Figure 53. Central and South America Computing in Memory Technology Revenue (US$ Million) by Type (2020-2031)
Figure 54. Central and South America Computing in Memory Technology Revenue (US$ Million) by Application (2020-2031)
Figure 55. Brazil Computing in Memory Technology Revenue (2020-2025) & (US$ Million)
Figure 56. Argentina Computing in Memory Technology Revenue (2020-2025) & (US$ Million)
Figure 57. Middle East and Africa Computing in Memory Technology Revenue YoY (2020-2031) & (US$ Million)
Figure 58. Middle East and Africa Top 5 Players Computing in Memory Technology Revenue (US$ Million) in 2024
Figure 59. South America Computing in Memory Technology Revenue (US$ Million) by Type (2020-2031)
Figure 60. Middle East and Africa Computing in Memory Technology Revenue (US$ Million) by Application (2020-2031)
Figure 61. GCC Countries Computing in Memory Technology Revenue (2020-2025) & (US$ Million)
Figure 62. Israel Computing in Memory Technology Revenue (2020-2025) & (US$ Million)
Figure 63. Egypt Computing in Memory Technology Revenue (2020-2025) & (US$ Million)
Figure 64. South Africa Computing in Memory Technology Revenue (2020-2025) & (US$ Million)
Figure 65. Computing in Memory Technology Industry Chain Mapping
Figure 66. Channels of Distribution (Direct Vs Distribution)
Figure 67. Bottom-up and Top-down Approaches for This Report
Figure 68. Data Triangulation
Figure 69. Key Executives Interviewed
KEY QUESTIONS ADDRESSED BY THE REPORT
What is the annual compound growth rate of the global Computing in Memory Technology market size from 2025 to 2031?
The annual compound growth rate of the global Computing in Memory Technology market is 42.7% 2025 to 2031.
What was the global market size of Computing in Memory Technology in 2031?
Which region is expected to have the highest market share?
Which companies rank high in the global Computing in Memory Technology market?
What was the global market size of Computing in Memory Technology in 2025?
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