Global AI Edge Computing Boxes Supply, Demand and Key Producers, 2026-2032
Description
The global AI Edge Computing Boxes market size is expected to reach $ 1789 million by 2032, rising at a market growth of 11.9% CAGR during the forecast period (2026-2032).
Edge computing is a technology model deployed on the side close to the source of objects or data generation. It integrates the core capabilities of network, computing, storage and application to form an open unified platform to provide efficient services nearby. Its application is started on the edge side and can respond to network requests quickly to meet the urgent needs of the industry in real-time business processing, application intelligence, security and privacy protection. Edge computing is located between physical entities and industrial connections, or is a direct extension of physical entities. In this way, it achieves more efficient and instant data processing and service provision.
Edge computing devices mainly include chips, hardware and software. Chips are processors for processing complex algorithms, such as GPUs, CPUs, MPUs, etc.; the hardware side includes edge AI boxes and servers; the role of software is mainly to complete video processing (such as rendering, decoding, etc.) and AI reasoning (edge side chips are mainly reasoning) in combination with hardware devices.
AI edge computing box, also known as AI edge computing gateway, Edge AI BOX, edge box, etc. It has a built-in dedicated AI chip designed for running machine learning algorithms and applications directly locally. It also integrates artificial intelligence processing capabilities and edge computing functions, and can run AI algorithms such as machine vision and voice recognition directly on the device side, thereby achieving real-time data analysis and decision-making, effectively reducing the reliance on cloud servers to process data. The significant advantages of this box are: promoting the intelligent upgrade of applications, achieving faster response capabilities, and significantly reducing the demand for network communication bandwidth. Devices are usually deployed at the edge of the network to process and respond to data from Internet of Things (IoT) devices such as sensors and cameras more quickly without sending data to the cloud for processing.
AI edge computing boxes can usually be equipped with a variety of AI computing chips for different application scenarios, algorithm/performance requirements, such as graphics rendering GPU, neural network acceleration NPU, etc. By integrating AI computing chips and algorithms, the difference between edge boxes and conventional edge computing gateways or industrial control is edge computing capabilities, which are suitable for scenarios with high real-time requirements, large data volumes, and limited network bandwidth.
Different from common cloud computing, edge computing processes data at the "edge". AI edge computing box is a hardware device deployed between data collection and cloud servers and equipped with AI learning capabilities. Because it looks like a "box", it is called differently in the industry. Edge computing gateway, AI BOX, edge box, etc. all refer to AI edge computing box.
AI edge computing box downstream applications in various industries, among which smart manufacturing occupies the main market share, reaching 42.6% in 2023. However, with the popularization of smart transportation, smart communities and other fields, the market size of smart cities will reach 250 million US dollars in 2030. Different application scenarios have different requirements for the computing power and algorithms of the box. In the field of smart retail, due to the simple scenario, static recognition detection algorithms are usually used, and low-cost/low-computing-power devices are generally used. For industrial manufacturing, smart mining, smart transportation and other fields, medium computing power (20-100TOPS) can meet the computing power requirements of most scenarios. In 2023, the market size of medium computing power boxes will be US$180 million, with a market share of 55%, and it is expected to maintain its dominant position in the next few years.
From the perspective of market competition, AI edge computing box companies are currently mainly distributed in mainland China and Taiwan, China, and the market output in the two regions accounts for more than 95% of the share. The core companies are mainly Alibaba Cloud, Lenovo, Advantech, AAEON Technology, Twowin Technology, Guangzhou Embedded Machine Technology, ADLINK Technology, etc., and the share of the top 5 companies is close to 65%. There are also some new companies in other regions, such as Amnimo Inc and EDGEMATRIX in Japan, PlanetSpark in Singapore, Forecr and Eurotech in Europe.
This report studies the global AI Edge Computing Boxes production, demand, key manufacturers, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI Edge Computing Boxes and provides market size (US$ million) and Year-over-Year (YoY) Growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI Edge Computing Boxes that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI Edge Computing Boxes total production and demand, 2021-2032, (K Units)
Global AI Edge Computing Boxes total production value, 2021-2032, (USD Million)
Global AI Edge Computing Boxes production by region & country, production, value, CAGR, 2021-2032, (USD Million) & (K Units), (based on production site)
Global AI Edge Computing Boxes consumption by region & country, CAGR, 2021-2032 & (K Units)
U.S. VS China: AI Edge Computing Boxes domestic production, consumption, key domestic manufacturers and share
Global AI Edge Computing Boxes production by manufacturer, production, price, value and market share 2021-2026, (USD Million) & (K Units)
Global AI Edge Computing Boxes production by Type, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
Global AI Edge Computing Boxes production by Application, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
This report profiles key players in the global AI Edge Computing Boxes market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Alibaba Cloud, Lenovo, Advantech, Zhejiang Dahua, Hangzhou Hikvision, Huawei, AAEON Technology, Twowin Technology, Guangzhou Embedded Machine Technology, Tencent, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI Edge Computing Boxes market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), volume (production, consumption) & (K Units) and average price (US$/Unit) by manufacturer, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global AI Edge Computing Boxes Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI Edge Computing Boxes Market, Segmentation by Type:
Below 20 TOPS
20-100 TOPS
Above 100TOPS
Global AI Edge Computing Boxes Market, Segmentation by Application:
Smart Manufacturing
Smart City
Retail
Smart Mine
Autonomous Vehicles
Others
Companies Profiled:
Alibaba Cloud
Lenovo
Advantech
Zhejiang Dahua
Hangzhou Hikvision
Huawei
AAEON Technology
Twowin Technology
Guangzhou Embedded Machine Technology
Tencent
ADLINK Technology
Baidu
Eurotech
Jwipc Technology
Thundercomm
EDGEMATRIX
Shenzhen Geniatech
Shenzhen CoreRain
Shenzhen Smart Device Technology
Sichuan Wanwu Zongheng Technology
Beijing Sophgo
ARBOR
Forecr
Newland Digital Technology
Hangzhou Yanzhi Technology
Shenzhen Micagent
Beijing NexGemo Technology
Shenzhen King Histrong
Guangzhou STONKAM
Changzhou Haitu Electronic
PlanetSpark
Ingrasys
Inventec
Mistral Solutions
Amnimo Inc
Sangfor Technologies
AsiaInfo Technologies Limited
China Telecom Cloud Technology Co., Ltd
Anhui Chaoqing Technology Co., Ltd
Key Questions Answered:
1. How big is the global AI Edge Computing Boxes market?
2. What is the demand of the global AI Edge Computing Boxes market?
3. What is the year over year growth of the global AI Edge Computing Boxes market?
4. What is the production and production value of the global AI Edge Computing Boxes market?
5. Who are the key producers in the global AI Edge Computing Boxes market?
6. What are the growth factors driving the market demand?
Edge computing is a technology model deployed on the side close to the source of objects or data generation. It integrates the core capabilities of network, computing, storage and application to form an open unified platform to provide efficient services nearby. Its application is started on the edge side and can respond to network requests quickly to meet the urgent needs of the industry in real-time business processing, application intelligence, security and privacy protection. Edge computing is located between physical entities and industrial connections, or is a direct extension of physical entities. In this way, it achieves more efficient and instant data processing and service provision.
Edge computing devices mainly include chips, hardware and software. Chips are processors for processing complex algorithms, such as GPUs, CPUs, MPUs, etc.; the hardware side includes edge AI boxes and servers; the role of software is mainly to complete video processing (such as rendering, decoding, etc.) and AI reasoning (edge side chips are mainly reasoning) in combination with hardware devices.
AI edge computing box, also known as AI edge computing gateway, Edge AI BOX, edge box, etc. It has a built-in dedicated AI chip designed for running machine learning algorithms and applications directly locally. It also integrates artificial intelligence processing capabilities and edge computing functions, and can run AI algorithms such as machine vision and voice recognition directly on the device side, thereby achieving real-time data analysis and decision-making, effectively reducing the reliance on cloud servers to process data. The significant advantages of this box are: promoting the intelligent upgrade of applications, achieving faster response capabilities, and significantly reducing the demand for network communication bandwidth. Devices are usually deployed at the edge of the network to process and respond to data from Internet of Things (IoT) devices such as sensors and cameras more quickly without sending data to the cloud for processing.
AI edge computing boxes can usually be equipped with a variety of AI computing chips for different application scenarios, algorithm/performance requirements, such as graphics rendering GPU, neural network acceleration NPU, etc. By integrating AI computing chips and algorithms, the difference between edge boxes and conventional edge computing gateways or industrial control is edge computing capabilities, which are suitable for scenarios with high real-time requirements, large data volumes, and limited network bandwidth.
Different from common cloud computing, edge computing processes data at the "edge". AI edge computing box is a hardware device deployed between data collection and cloud servers and equipped with AI learning capabilities. Because it looks like a "box", it is called differently in the industry. Edge computing gateway, AI BOX, edge box, etc. all refer to AI edge computing box.
AI edge computing box downstream applications in various industries, among which smart manufacturing occupies the main market share, reaching 42.6% in 2023. However, with the popularization of smart transportation, smart communities and other fields, the market size of smart cities will reach 250 million US dollars in 2030. Different application scenarios have different requirements for the computing power and algorithms of the box. In the field of smart retail, due to the simple scenario, static recognition detection algorithms are usually used, and low-cost/low-computing-power devices are generally used. For industrial manufacturing, smart mining, smart transportation and other fields, medium computing power (20-100TOPS) can meet the computing power requirements of most scenarios. In 2023, the market size of medium computing power boxes will be US$180 million, with a market share of 55%, and it is expected to maintain its dominant position in the next few years.
From the perspective of market competition, AI edge computing box companies are currently mainly distributed in mainland China and Taiwan, China, and the market output in the two regions accounts for more than 95% of the share. The core companies are mainly Alibaba Cloud, Lenovo, Advantech, AAEON Technology, Twowin Technology, Guangzhou Embedded Machine Technology, ADLINK Technology, etc., and the share of the top 5 companies is close to 65%. There are also some new companies in other regions, such as Amnimo Inc and EDGEMATRIX in Japan, PlanetSpark in Singapore, Forecr and Eurotech in Europe.
This report studies the global AI Edge Computing Boxes production, demand, key manufacturers, and key regions.
This report is a detailed and comprehensive analysis of the world market for AI Edge Computing Boxes and provides market size (US$ million) and Year-over-Year (YoY) Growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of AI Edge Computing Boxes that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global AI Edge Computing Boxes total production and demand, 2021-2032, (K Units)
Global AI Edge Computing Boxes total production value, 2021-2032, (USD Million)
Global AI Edge Computing Boxes production by region & country, production, value, CAGR, 2021-2032, (USD Million) & (K Units), (based on production site)
Global AI Edge Computing Boxes consumption by region & country, CAGR, 2021-2032 & (K Units)
U.S. VS China: AI Edge Computing Boxes domestic production, consumption, key domestic manufacturers and share
Global AI Edge Computing Boxes production by manufacturer, production, price, value and market share 2021-2026, (USD Million) & (K Units)
Global AI Edge Computing Boxes production by Type, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
Global AI Edge Computing Boxes production by Application, production, value, CAGR, 2021-2032, (USD Million) & (K Units)
This report profiles key players in the global AI Edge Computing Boxes market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Alibaba Cloud, Lenovo, Advantech, Zhejiang Dahua, Hangzhou Hikvision, Huawei, AAEON Technology, Twowin Technology, Guangzhou Embedded Machine Technology, Tencent, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World AI Edge Computing Boxes market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), volume (production, consumption) & (K Units) and average price (US$/Unit) by manufacturer, by Type, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.
Global AI Edge Computing Boxes Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global AI Edge Computing Boxes Market, Segmentation by Type:
Below 20 TOPS
20-100 TOPS
Above 100TOPS
Global AI Edge Computing Boxes Market, Segmentation by Application:
Smart Manufacturing
Smart City
Retail
Smart Mine
Autonomous Vehicles
Others
Companies Profiled:
Alibaba Cloud
Lenovo
Advantech
Zhejiang Dahua
Hangzhou Hikvision
Huawei
AAEON Technology
Twowin Technology
Guangzhou Embedded Machine Technology
Tencent
ADLINK Technology
Baidu
Eurotech
Jwipc Technology
Thundercomm
EDGEMATRIX
Shenzhen Geniatech
Shenzhen CoreRain
Shenzhen Smart Device Technology
Sichuan Wanwu Zongheng Technology
Beijing Sophgo
ARBOR
Forecr
Newland Digital Technology
Hangzhou Yanzhi Technology
Shenzhen Micagent
Beijing NexGemo Technology
Shenzhen King Histrong
Guangzhou STONKAM
Changzhou Haitu Electronic
PlanetSpark
Ingrasys
Inventec
Mistral Solutions
Amnimo Inc
Sangfor Technologies
AsiaInfo Technologies Limited
China Telecom Cloud Technology Co., Ltd
Anhui Chaoqing Technology Co., Ltd
Key Questions Answered:
1. How big is the global AI Edge Computing Boxes market?
2. What is the demand of the global AI Edge Computing Boxes market?
3. What is the year over year growth of the global AI Edge Computing Boxes market?
4. What is the production and production value of the global AI Edge Computing Boxes market?
5. Who are the key producers in the global AI Edge Computing Boxes market?
6. What are the growth factors driving the market demand?
Table of Contents
208 Pages
- 1 Supply Summary
- 2 Demand Summary
- 3 World Manufacturers Competitive Analysis
- 4 United States VS China VS Rest of the World
- 5 Market Analysis by Type
- 6 Market Analysis by Application
- 7 Company Profiles
- 8 Industry Chain Analysis
- 9 Research Findings and Conclusion
- 10 Appendix
Pricing
Currency Rates
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