As a new computing architecture, integrated storage and computing is considered a revolutionary technology with potential and has attracted great attention at home and abroad. The core is to completely integrate storage and computing, effectively overcome the bottleneck of the von Neumann architecture, and combine advanced packaging, new storage device and other technologies in the post-Moore era to achieve orders of magnitude improvement in computing energy efficiency.
According to the distance between storage and computing, technical solutions integrating generalized storage and computing are divided into three major categories, namely Processing Near Memory (PNM), In-memory Processing (Processing ln Memory.PlM) and Inline Computing (Computing). in Memory, CIM). In-memory computing refers to the integration of storage and calculation in a narrow sense.
According to the new market research report “Computing in Memory Technology - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030”, published by QYResearch, the global Computing in Memory Technology market size is projected to reach USD 30.63 billion by 2029, at a CAGR of 154.7% during the forecast period.

Source: QYResearch, "Computing in Memory Technology - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030”

Source: QYResearch, "Computing in Memory Technology - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030”
According to QYResearch Top Players Research Center, the global key manufacturers of Computing in Memory Technology include Syntiant, Zhicun(Witmem) Technology, etc. In 2022, the global top three players had a share approximately 58.0% in terms of revenue.
About The Authors
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Chengping Zhang |
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A experienced Technology & Market Analyst. Deep experience in chemical industry, focus on electronic materials, engineering materials and mineral resources, etc. Fully engaged in the development of technology and market reports as well as custom projects. |
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Senior Analyst |
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Email: zhangchengping@qyresearch.com |
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