According to our (Global Info Research) latest study, the global Edge AI ICs market size was valued at US$ 3837 million in 2025 and is forecast to a readjusted size of US$ 10830 million by 2032 with a CAGR of 16.2% during review period.
Edge AI is an 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.
This report is a detailed and comprehensive analysis for global Edge AI ICs market. Both quantitative and qualitative analyses are presented by manufacturers, 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.
Key Features:
Global Edge AI ICs market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2021-2032
Global Edge AI ICs market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2021-2032
Global Edge AI ICs market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2021-2032
Global Edge AI ICs market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Edge AI ICs
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Edge AI ICs market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, Intel, AMD Xilinx, Google, Qualcomm, NXP, STMicroelectronics, Texas Instruments, Kneron, Hailo, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Edge AI ICs market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Audio And Sound Processing
Machine Vision
Sensor Data Analysis
Others
Market segment by Computing Performance
Low Performance (<1 TOPS)
Mid-range Performance (1–10 TOPS)
High Performance (>10 TOPS)
Market segment by Power
Ultra-low Power (mW-level)
Low Power (<5W)
Mid-to-high Power (≥5W)
Market segment by Application
Automotive
Robotics
Smart Manufacturing
Smart City
Security & Surveillance
Others
Major players covered
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
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 Edge AI ICs product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Edge AI ICs, with price, sales quantity, revenue, and global market share of Edge AI ICs from 2021 to 2026.
Chapter 3, the Edge AI ICs competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Edge AI ICs 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 by Application, with sales market share and growth rate by Type, by 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 2026.and Edge AI ICs market forecast, by regions, by Type, and by Application, with sales and revenue, from 2027 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 Edge AI ICs.
Chapter 14 and 15, to describe Edge AI ICs sales channel, distributors, customers, research findings and conclusion.
Summary:
Get latest Market Research Reports on Edge AI ICs. Industry analysis & Market Report on Edge AI ICs is a syndicated market report, published as Global Edge AI ICs Market 2026 by Manufacturers, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Edge AI ICs market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.