Global In-memory Computing Chips for AI Market Growth 2024-2030

Global In-memory Computing Chips for AI Market Growth 2024-2030

Product Code:1179407

Published Date: Apr 22,2024

Pages: 131

Region: Global

Category: Electronics & Semiconductor

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In-memory computing is the design of memories next to or within the processing elements   of hardware. In-memory computing leverages register files, memories within   processors, or turns arrays of SRAMs or new memory technologies into register   files or compute engines themselves.

The global In-memory Computing Chips for AI market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.

LP Information, Inc. (LPI) ' newest research report, the “In-memory Computing Chips for AI Industry Forecast” looks at past sales and reviews total world In-memory Computing Chips for AI sales in 2023, providing a comprehensive analysis by region and market sector of projected In-memory Computing Chips for AI sales for 2024 through 2030. With In-memory Computing Chips for AI sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world In-memory Computing Chips for AI industry.

This Insight Report provides a comprehensive analysis of the global In-memory Computing Chips for AI landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on In-memory Computing Chips for AI portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global In-memory Computing Chips for AI market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for In-memory Computing Chips for AI and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global In-memory Computing Chips for AI.

United States market for In-memory Computing Chips for AI is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

China market for In-memory Computing Chips for AI is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Europe market for In-memory Computing Chips for AI is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key In-memory Computing Chips for AI players cover Samsung, Myhtic, SK Hynix, Syntiant, D-Matrix, etc. In terms of revenue, the global two largest companies occupied for a share nearly 
 % in 2023.

This report presents a comprehensive overview, market shares, and growth opportunities of In-memory Computing Chips for AI market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:
    Analog
    Digital

Segmentation by Application:
    Wearable Device
    Smartphone
    Automotive
    Others

This report also splits the market by region:
    Americas
        United States
        Canada
        Mexico
        Brazil
    APAC
        China
        Japan
        Korea
        Southeast Asia
        India
        Australia
    Europe
        Germany
        France
        UK
        Italy
        Russia
    Middle East & Africa
        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
    Samsung
    Myhtic
    SK Hynix
    Syntiant
    D-Matrix
    Hangzhou Zhicun (Witmem) Technology
    Beijing Pingxin Technology
    Shenzhen Reexen Technology Liability Company
    Nanjing Houmo Intelligent Technology
    Zbit Semiconductor
    Flashbillion
    Beijing InnoMem Technologies
    AISTARTEK
    Houmo Intelligent Technology
    Qianxin Semiconductor Technology
    Wuhu Every Moment Thinking Intelligent Technology

Key Questions Addressed in this Report
What is the 10-year outlook for the global In-memory Computing Chips for AI market?
What factors are driving In-memory Computing Chips for AI market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do In-memory Computing Chips for AI market opportunities vary by end market size?
How does In-memory Computing Chips for AI break out by Type, by Application?