The global Edge AI ICs market size is predicted to grow from US$ 3648 million in 2025 to US$ 10840 million in 2032; it is expected to grow at a CAGR of 17.2% from 2026 to 2032.

Edge AI isan emerging technology that combines the power of artificial intelligence (AI) with the advantages of edge computing, enabling the processing of data and execution of AI algorithms directly on devices at the edge of the network, rather than relying on centralized cloud-based systems.

The growth of the Edge AI ICs market is primarily driven by increasing demand for real-time processing, heightened data privacy and security requirements, and the rapid advancement of intelligent edge devices. Applications such as autonomous driving, industrial automation, machine vision, and intelligent surveillance require ultra-low latency and localized decision-making, exposing the limitations of cloud-centric AI architectures in terms of delay and bandwidth cost. At the same time, stricter data protection and compliance regulations favor on-device data processing. In addition, the rapid expansion of IoT deployments, progress in AI model compression and algorithm optimization, and the maturation of advanced process nodes and heterogeneous computing architectures (CPU combined with GPU, NPU, or ASIC) have significantly reduced the cost and complexity of deploying edge AI solutions, accelerating their adoption across a wide range of end-use scenarios.

Infinity Market Research newest research report, the Edge AI ICs Industry Forecast looks at past sales and reviews total world Edge AI ICs sales in 2025, providing a comprehensive analysis by region and market sector of projected Edge AI ICs sales for 2026 through 2032. With Edge AI ICs sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Edge AI ICs industry.

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

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Edge AI ICs 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 Edge AI ICs.

This report presents a comprehensive overview, market shares, and growth opportunities of Edge AI ICs market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:

    Audio And Sound Processing
    Machine Vision
    Sensor Data Analysis
    Others
    Segmentation by Computing Performance:
    Low Performance (<1 TOPS)
    Mid-range Performance (110 TOPS)
    High Performance (>10 TOPS)
    Segmentation by Power:
    Ultra-low Power (mW-level)
    Low Power (<5W)
    Mid-to-high Power (?5W)

Segmentation by Application:

    Automotive
    Robotics
    Smart Manufacturing
    Smart City
    Security & Surveillance
    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
    Intel
    AMD Xilinx
    Google
    Qualcomm
    NXP
    STMicroelectronics
    Texas Instruments
    Kneron
    Hailo
    Ambarella
    Hisilicon
    Cambricon
    Horizon Robotics
    Black Sesame Technologies
    Corerain
    Amlogic
    Ingenic Semiconductor
    Fuzhou Rockchip Electronics
    Goke Microelectronics
    TSING MICRO
    Novauto

Key Questions Addressed in this Report

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