Global Edge AI ICs Market Growth 2026-2032
Description
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 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.
LP Information, Inc. (LPI) ' 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 (1–10 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 company's 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?
Please note: The report will take approximately 2 business days to prepare and deliver.
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.
LP Information, Inc. (LPI) ' 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 (1–10 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 company's coverage, product portfolio, its market penetration.
NVIDIA
Intel
AMD Xilinx
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?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
160 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for Edge AI ICs by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for Edge AI ICs by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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