Global AI Edge Computing Boxes Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031

According to our (Global Info Research) latest study, the global AI Edge Computing Boxes market size was valued at US$ 650 million in 2024 and is forecast to a readjusted size of USD 1453 million by 2031 with a CAGR of 11.9% during review period.

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 is a detailed and comprehensive analysis for global AI Edge Computing Boxes 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 AI Edge Computing Boxes market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031

Global AI Edge Computing Boxes market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031

Global AI Edge Computing Boxes market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2020-2031

Global AI Edge Computing Boxes market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 2020-2025

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 AI Edge Computing Boxes

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 AI Edge Computing Boxes 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 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.

Market Segmentation

AI Edge Computing Boxes market is split by Type and by Application. For the period 2020-2031, 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
Below 20 TOPS
20-100 TOPS
Above 100TOPS

Market segment by Application
Smart Manufacturing
Smart City
Retail
Smart Mine
Autonomous Vehicles
Others

Major players covered
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

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 AI Edge Computing Boxes product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top manufacturers of AI Edge Computing Boxes, with price, sales quantity, revenue, and global market share of AI Edge Computing Boxes from 2020 to 2025.

Chapter 3, the AI Edge Computing Boxes competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.

Chapter 4, the AI Edge Computing Boxes breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.

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 2020 to 2031.

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 2020 to 2025.and AI Edge Computing Boxes market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.

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 AI Edge Computing Boxes.

Chapter 14 and 15, to describe AI Edge Computing Boxes sales channel, distributors, customers, research findings and conclusion.