Processing in-memory AI Chips Market Share, Revenue, Price, Growth Rate Ranking Analysis Report 2026-2032
On Dec 29, the latest report "Global Processing in-memory AI Chips Market 2026 by Manufacturers, Regions, Types and Applications, Forecast to 2032" from Global Info Research provides a detailed and comprehensive analysis of the global Processing in-memory AI Chips market. The report provides both quantitative and qualitative analysis by manufacturers, regions and countries, types and applications. As the market is constantly changing, this report explores market competition, supply and demand trends, and key factors that are causing many market demand changes. The report also provides company profiles and product examples of some of the competitors, as well as market share estimates for some of the leading players in 2026.
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Processing-in-Memory AI chips are computing architectures that integrate computation capabilities directly within or very close to memory arrays, enabling arithmetic operations—such as multiply-accumulate— to be performed where data is stored, thereby minimizing data movement between memory and processors; by alleviating the von Neumann bottleneck, PIM chips can significantly improve energy efficiency, bandwidth utilization, and latency, making them particularly suitable for AI workloads dominated by matrix and vector operations, while challenges remain in precision control, manufacturing variability, programmability, and ecosystem maturity as the technology transitions from research prototypes toward specialized commercial deployments.
The processing-in-memory (PIM) AI chip market is at an early commercialization stage, with a small but rapidly growing addressable market driven primarily by energy-efficient AI inference, edge computing, and memory-bandwidth-constrained workloads. Market adoption is currently led by specialized startups, research spin-offs, and pilot programs involving memory and semiconductor manufacturers, with deployments mainly in proof-of-concept systems and limited-volume, application-specific designs rather than mass production. While conventional GPUs and ASIC accelerators continue to dominate mainstream AI computing, PIM architectures are gaining attention for their ability to significantly reduce data-movement energy and latency, positioning them for gradual penetration into selected verticals as process integration, software ecosystems, and reliability mature over the next several years.
This report is a detailed and comprehensive analysis for global Processing in-memory AI Chips market. Both quantitative and qualitative analyses are presented by manufacturers, 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.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approval.
Processing in-memory AI Chips 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 in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type: DRAM-PIM、 SRAM-PIM、 Others
Market segment by Application: Small Computing Power、 Large Computing Power
Major players covered: Syntiant、 Hangzhou Zhicun (Witmem) Technology、 Shenzhen Reexen Technology、 Myhtic、 Beijing Pingxin Technology、 Graphcore、 Axelera AI、 AistarTek、 Suzhou Yizhu Intelligent Technology、 Beijing Houmo Technology、 Samsung、 SK Hynix、 D-Matrix、 EnCharge AI
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Processing in-memory AI Chips product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Processing in-memory AI Chips, with price, sales quantity, revenue, and global market share of Processing in-memory AI Chips from 2021 to 2026.
Chapter 3, the Processing in-memory AI Chips competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Processing in-memory AI Chips breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2021 to 2032.
Chapter 5 and 6, to segment Processing in-memory AI Chips the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the Processing in-memory AI Chips sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2021 to 2025.and Processing in-memory AI Chips market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2032.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Processing in-memory AI Chips.
Chapter 14 and 15, to describe Processing in-memory AI Chips sales channel, distributors, customers, research findings and conclusion.
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 Processing in-memory AI Chips
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
Global Info Research is a company that digs deep into global industry information to support enterprises with market strategies and in-depth market development analysis reports. We provides market information consulting services in the global region to support enterprise strategic planning and official information reporting, and focuses on customized research, management consulting, IPO consulting, industry chain research, database and top industry services. At the same time, Global Info Research is also a report publisher, a customer and an interest-based suppliers, and is trusted by more than 30,000 companies around the world. We will always carry out all aspects of our business with excellent expertise and experience.
Contact Us:
Global Info Research
Web: https://www.globalinforesearch.com
Email: report@globalinforesearch.com
Get Report Sample with Industry Insights https://www.globalinforesearch.com/reports/3397129/processing-in-memory-ai-chips
Processing-in-Memory AI chips are computing architectures that integrate computation capabilities directly within or very close to memory arrays, enabling arithmetic operations—such as multiply-accumulate— to be performed where data is stored, thereby minimizing data movement between memory and processors; by alleviating the von Neumann bottleneck, PIM chips can significantly improve energy efficiency, bandwidth utilization, and latency, making them particularly suitable for AI workloads dominated by matrix and vector operations, while challenges remain in precision control, manufacturing variability, programmability, and ecosystem maturity as the technology transitions from research prototypes toward specialized commercial deployments.
The processing-in-memory (PIM) AI chip market is at an early commercialization stage, with a small but rapidly growing addressable market driven primarily by energy-efficient AI inference, edge computing, and memory-bandwidth-constrained workloads. Market adoption is currently led by specialized startups, research spin-offs, and pilot programs involving memory and semiconductor manufacturers, with deployments mainly in proof-of-concept systems and limited-volume, application-specific designs rather than mass production. While conventional GPUs and ASIC accelerators continue to dominate mainstream AI computing, PIM architectures are gaining attention for their ability to significantly reduce data-movement energy and latency, positioning them for gradual penetration into selected verticals as process integration, software ecosystems, and reliability mature over the next several years.
This report is a detailed and comprehensive analysis for global Processing in-memory AI Chips market. Both quantitative and qualitative analyses are presented by manufacturers, 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.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approval.
Processing in-memory AI Chips 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 in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type: DRAM-PIM、 SRAM-PIM、 Others
Market segment by Application: Small Computing Power、 Large Computing Power
Major players covered: Syntiant、 Hangzhou Zhicun (Witmem) Technology、 Shenzhen Reexen Technology、 Myhtic、 Beijing Pingxin Technology、 Graphcore、 Axelera AI、 AistarTek、 Suzhou Yizhu Intelligent Technology、 Beijing Houmo Technology、 Samsung、 SK Hynix、 D-Matrix、 EnCharge AI
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Processing in-memory AI Chips product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Processing in-memory AI Chips, with price, sales quantity, revenue, and global market share of Processing in-memory AI Chips from 2021 to 2026.
Chapter 3, the Processing in-memory AI Chips competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Processing in-memory AI Chips breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2021 to 2032.
Chapter 5 and 6, to segment Processing in-memory AI Chips the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the Processing in-memory AI Chips sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2021 to 2025.and Processing in-memory AI Chips market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2032.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Processing in-memory AI Chips.
Chapter 14 and 15, to describe Processing in-memory AI Chips sales channel, distributors, customers, research findings and conclusion.
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 Processing in-memory AI Chips
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
Global Info Research is a company that digs deep into global industry information to support enterprises with market strategies and in-depth market development analysis reports. We provides market information consulting services in the global region to support enterprise strategic planning and official information reporting, and focuses on customized research, management consulting, IPO consulting, industry chain research, database and top industry services. At the same time, Global Info Research is also a report publisher, a customer and an interest-based suppliers, and is trusted by more than 30,000 companies around the world. We will always carry out all aspects of our business with excellent expertise and experience.
Contact Us:
Global Info Research
Web: https://www.globalinforesearch.com
Email: report@globalinforesearch.com
