In-memory Computing Chips for AI Latest Industry Trends: Revenue, Price, Sales Analysis Report 2026

On Dec 29, Global Info Research released "Global In-memory Computing Chips for AI Market 2026 by Manufacturers, Regions, Type and Application, Forecast to 2032". This report includes an overview of the development of the In-memory Computing Chips for AI industry chain, the market status of In-memory Computing Chips for AI Market, and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of In-memory Computing Chips for AI.

According to our (Global Info Research) latest study, the global In-memory Computing Chips for AI market size was valued at US$ 238 million in 2025 and is forecast to a readjusted size of US$ 42322 million by 2032 with a CAGR of 109.7% during review period.
In-memory Computing Chips for AI are specialized chips that perform AI computations directly inside memory arrays or very close to where data is stored, instead of moving data back and forth between memory and a separate processor. By integrating computation-such as multiply-accumulate operations used in neural networks-within memory, these chips significantly reduce data movement, energy consumption, and latency, overcoming the memory bandwidth bottleneck of traditional von Neumann architectures. In-memory computing chips are particularly well suited for AI inference and edge-AI applications, and are commonly implemented using SRAM, DRAM, or emerging non-volatile memory technologies (such as ReRAM or MRAM), offering a promising path toward high-efficiency, low-power AI acceleration. The downstream market for In-Memory Computing (CIM) Chips for AI is currently in an early adoption phase, with demand concentrated in power- and latency-sensitive AI inference scenarios rather than large-scale training. Key downstream users include edge AI device manufacturers, robotics OEMs, smart cameras, industrial automation system integrators, and IoT solution providers, where CIM chips are used to reduce energy consumption and enable real-time processing under tight thermal and power constraints. Deployment is typically project-based or design-win driven, with close collaboration between chip vendors and system customers, and volumes remain limited compared with mainstream GPUs and NPUs. As AI applications expand deeper into embedded, industrial, and always-on systems, downstream demand for CIM chips is expected to broaden, especially in scenarios where conventional architectures struggle to meet power-efficiency requirements.
The In-memory Computing Chips for AI market is at an early but rapidly emerging stage, driven by the growing need for energy-efficient AI inference as traditional GPU- and CPU-centric architectures face power and memory-bandwidth limitations. Current demand is mainly concentrated in edge AI, smart sensors, robotics, automotive, and low-power intelligent devices, where reducing latency and energy consumption is more critical than peak compute performance. The competitive landscape is dominated by startups, university spin-offs, and joint development programs with foundries and memory vendors, while large semiconductor companies are still largely in exploratory or pilot phases. Although large-scale adoption is constrained by challenges in accuracy, reliability, software ecosystem maturity, and manufacturing consistency, industry consensus expects commercial penetration to accelerate after the mid-2020s, with CIM chips first gaining traction in specialized and power-constrained AI applications before broader deployment.
This report is a detailed and comprehensive analysis for global In-memory Computing Chips for AI 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.

Sample Report Request In-memory Computing Chips for AI
https://www.globalinforesearch.com/reports/3397139/in-memory-computing-chips-for-ai

Market segment by Type: In-memory Processing (PIM)、 In-memory Computation (CIM)
Market segment by Application: Small Computing Power、 Large Computing Power
Major players covered: Samsung、 SK Hynix、 Syntiant、 D-Matrix、 Mythic、 Graphcore、 EnCharge AI、 Axelera AI、 Hangzhou Zhicun (Witmem) Technology、 Suzhou Yizhu Intelligent Technology、 Shenzhen Reexen Technology、 Beijing Houmo Technology、 AistarTek、 Beijing Pingxin Technology
Market segment by region, regional analysis covers:
North America (United States, Canada and Mexico),
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe),
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),
South America (Brazil, Argentina, Colombia, and Rest of South America),
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).

The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe In-memory Computing Chips for AI product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of In-memory Computing Chips for AI, with price, sales, revenue and global market share of In-memory Computing Chips for AI from 2021 to 2025.
Chapter 3, the In-memory Computing Chips for AI competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the In-memory Computing Chips for AI 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 the sales by Type and application, with sales market share and growth rate by type, application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the 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 In-memory Computing Chips for AI market forecast, by regions, type and 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 In-memory Computing Chips for AI.
Chapter 14 and 15, to describe In-memory Computing Chips for AI sales channel, distributors, customers, research findings and conclusion.

Data Sources:
Via authorized organizations:customs statistics, industrial associations, relevant international societies, and academic publications etc.
Via trusted Internet sources.Such as industry news, publications on this industry, annual reports of public companies, Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), Trading Economics, News Network, Statista, Federal Reserve Economic Data, BIS Statistics, ICIS, Companies House Documentsm, investor presentations, SEC filings of companies, etc.
Via interviews. Our interviewees includes manufacturers, related companies, industry experts, distributors, business (sales) staff, directors, CEO, marketing executives, executives from related industries/organizations, customers and raw material suppliers to obtain the latest information on the primary market;
Via data exchange. We have been consulting in this industry for 16 years and have collaborations with the players in this field. Thus, we get access to (part of) their unpublished data, by exchanging with them the data we have.

From our partners.We have information agencies as partners and they are located worldwide, thus we get (or purchase) the latest data from them.
Via our long-term tracking and gathering of data from this industry.We have a database that contains history data regarding the market.

About Us:

Global Info Research
Web: https://www.globalinforesearch.com
Email: report@globalinforesearch.com

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.

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