The global Application-Specific AI Chip market size is predicted to grow from US$ 16040 million in 2025 to US$ 29010 million in 2031; it is expected to grow at a CAGR of 10.4% from 2025 to 2031.

Application-Specific AI Chip is hardware devices specifically designed to perform specific types of AI tasks. Unlike general-purpose AI processors, special-purpose AI chips focus on optimizing one or more types of AI algorithms and applications, such as convolutional neural networks for image processing in deep learning, recurrent neural networks for sequential data such as speech and text processing, etc.

United States market for Application-Specific AI Chip is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for Application-Specific AI Chip is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for Application-Specific AI Chip is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key Application-Specific AI Chip players cover NVIDIA, Graphcore, SambaNova Systems, Microsoft, Intel, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

Infinity Market Research newest research report, the Application-Specific AI Chip Industry Forecast looks at past sales and reviews total world Application-Specific AI Chip sales in 2024, providing a comprehensive analysis by region and market sector of projected Application-Specific AI Chip sales for 2025 through 2031. With Application-Specific AI Chip sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Application-Specific AI Chip industry.

This Insight Report provides a comprehensive analysis of the global Application-Specific AI Chip 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 Application-Specific AI Chip portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms unique position in an accelerating global Application-Specific AI Chip market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Application-Specific AI Chip 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 Application-Specific AI Chip.

This report presents a comprehensive overview, market shares, and growth opportunities of Application-Specific AI Chip market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:

    VPU
    TPU
    NPU
    DPU

Segmentation by Application:

    Autonomous Driving
    Security
    Medical
    Industrial
    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 companys coverage, product portfolio, its market penetration.

    NVIDIA
    Graphcore
    SambaNova Systems
    Microsoft
    Intel
    Broadcom
    Apple
    Google
    Huawei
    Cambricon
    Beijing Horizon
    NETINT Technologie?Shanghai?
    Beijing Emergetech
    Beijing Junzheng Integrated Circuit
    Fujian Rockchip Electronics
    Shenzhen Meigesmart Technology
    Zhuhai Quanzhi Technology
    Hunan Guoke Microelectronics
    Shenzhen Intellif Technology
    Shenzhen Zhiwei Intelligent Technology
    Guangzhou Ankai Microelectronics
    VeriSilicon (Shanghai)
    Suzhou Guoxin Technology
    Zhongke Yusur (Beijing)
    MediaTek
    Achronix Semiconductor

Key Questions Addressed in this Report

What is the 10-year outlook for the global Application-Specific AI Chip market?
What factors are driving Application-Specific AI Chip market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Application-Specific AI Chip market opportunities vary by end market size?
How does Application-Specific AI Chip break out by Type, by Application?