
Global AI Edge Chip Market Growth 2025-2031
Description
The global AI Edge Chip market size is predicted to grow from US$ 33140 million in 2025 to US$ 56620 million in 2031; it is expected to grow at a CAGR of 9.3% from 2025 to 2031.
The development trend for AI edge chips includes the following. AI edge chips are becoming more powerful, allowing for complex AI algorithms to be run directly on the edge device. This enables faster and more efficient processing of AI tasks without the need for cloud connectivity. Edge devices often have limited power resources, so AI edge chips are being designed to be more energy-efficient. This allows for longer battery life and reduced power consumption, making them suitable for use in mobile and IoT devices. With the increasing use of AI in edge devices, security is a major concern. AI edge chips are being developed with built-in security features to protect sensitive data and prevent unauthorized access.
LP Information, Inc. (LPI) ' newest research report, the “AI Edge Chip Industry Forecast” looks at past sales and reviews total world AI Edge Chip sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Edge Chip sales for 2025 through 2031. With AI Edge Chip sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Edge Chip industry.
This Insight Report provides a comprehensive analysis of the global AI Edge 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 AI Edge Chip portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Edge Chip market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Edge 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 AI Edge Chip.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Edge Chip market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
System-on-chip
Multi-chip Module
Others
Segmentation by Application:
Automotive Industry
Healthcare Industry
Industrial Automation
Agriculture Industry
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.
Apple
Qualcomm
Intel
MediaTek
Samsung
MTK
NVIDIA
Rockchip
Huawei
Xilinx
Unisoc
Advanced Micro Devices
Kneron
STMicroelectronics
AllwinnerTechnology
Bitmain Technologies
Cambricon Technologies
WUQi MICRO
intellif
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Edge Chip market?
What factors are driving AI Edge Chip market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Edge Chip market opportunities vary by end market size?
How does AI Edge Chip break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
The development trend for AI edge chips includes the following. AI edge chips are becoming more powerful, allowing for complex AI algorithms to be run directly on the edge device. This enables faster and more efficient processing of AI tasks without the need for cloud connectivity. Edge devices often have limited power resources, so AI edge chips are being designed to be more energy-efficient. This allows for longer battery life and reduced power consumption, making them suitable for use in mobile and IoT devices. With the increasing use of AI in edge devices, security is a major concern. AI edge chips are being developed with built-in security features to protect sensitive data and prevent unauthorized access.
LP Information, Inc. (LPI) ' newest research report, the “AI Edge Chip Industry Forecast” looks at past sales and reviews total world AI Edge Chip sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Edge Chip sales for 2025 through 2031. With AI Edge Chip sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Edge Chip industry.
This Insight Report provides a comprehensive analysis of the global AI Edge 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 AI Edge Chip portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Edge Chip market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Edge 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 AI Edge Chip.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Edge Chip market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
System-on-chip
Multi-chip Module
Others
Segmentation by Application:
Automotive Industry
Healthcare Industry
Industrial Automation
Agriculture Industry
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.
Apple
Qualcomm
Intel
MediaTek
Samsung
MTK
NVIDIA
Rockchip
Huawei
Xilinx
Unisoc
Advanced Micro Devices
Kneron
STMicroelectronics
AllwinnerTechnology
Bitmain Technologies
Cambricon Technologies
WUQi MICRO
intellif
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Edge Chip market?
What factors are driving AI Edge Chip market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Edge Chip market opportunities vary by end market size?
How does AI Edge Chip break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
142 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 AI Edge Chip 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 AI Edge Chip by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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