Global Edge AI Box Market Size By Product Type (Box Computers, Embedded Systems), By Application (Industrial Automation, Smart Cities), By Technology (Artificial Intelligence, Machine Learning), By Deployment Model (On-Premises, Cloud-Based), By End-User Vertical (Manufacturing, Transportation and Logistics), By Geographic Scope And Forecast
Published Date: April - 2025 | Publisher: MIR | No of Pages: 230 | Industry: information-technology | Format: Report available in PDF / Excel Format
View Details Buy Now 3999 Download Sample Ask for Discount Request CustomizationThe worldwide Edge AI Box market was worth US$ 329 million in 2023 and is expected to grow to US$ 759 million by 2030, at a CAGR of 12.5% from 2024-2030.
Edge AI Box Market
Edge computing is a model of technology installed on the edge side near the source of object or data generation. It combines the fundamental functions of network, computing, storage and application to build an open unified platform to offer efficient services locally. Its usage is initiated on the edge side and can handle network requests in a timely manner to address the urgent requirements of the industry in real-time processing of business, application intelligence, security and protection of privacy. Edge computing is located between physical objects and industrial connections, or an extension of physical objects directly. Thus, it enables more efficient and timely data processing and offering of services.
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Edge computing devices are primarily chips, hardware, and software. Chips are computer hardware for complex algorithms, i.e., GPUs, CPUs, MPUs, etc.; the hardware part is edge AI boxes and servers; the function of software is primarily to finish video processing (e.g., rendering, decoding, etc.) and AI reasoning (edge ​​side chips are primarily reasoning) and hardware devices.
Edge AI boxes are also called AI edge computing boxes or AI edge computing gateways, edge boxes, etc. Integrated special AI chips are for running machine learning algorithms and applications locally. It also has artificial intelligence processing and edge computing capabilities and can run AI algorithms such as machine vision and voice recognition directly on the device side, thereby achieving the real-time processing of data and decision-making, effectively reducing the reliance on cloud servers to process data. The primary benefits of this box aresupporting intelligent upgrading of applications, achieving faster response capabilities, and significantly reducing the consumption of network communication bandwidth. Devices are usually installed at the network edge to process and respond to data from Internet of Things (IoT) devices such as cameras and sensors faster without sending data to the cloud for processing.
Edge AI boxes usually have multiple AI computing chips for different application scenarios, performance/algorithm demands, like graphics rendering GPU, neural network acceleration NPU, etc. With a combination of AI computing chips and algorithms, the difference between edge boxes and conventional edge computing gateways or industrial control is in edge computing capabilities, which are best suited for scenes with dense real-time demands, enormous data sizes, and limited network bandwidth.
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Compared with traditional cloud computing, edge computing processes data at the "edge". AI edge computing box is a hardware device between cloud servers and data collection and contains AI learning function. Because it is like a "box", it is called differently in the industry. Edge computing gateway, AI BOX, edge box, etc. are all referred to as edge AI box. In 2023, the market scale of edge AI box was 320 million US dollars. With the progress of edge computing industry, "edge AI box", one of the most important hardware devices in the industry, has also become large-scale.
Downstream of edge AI box is used in many industries, with the largest market share of intelligent manufacturing reaching 42.6% in 2023. Nevertheless, with the popularity of smart transportation, smart community and other industries, the market size of smart city will reach 250 million US dollars in 2030. With different application scenarios having different computing power demands and box algorithm requirements, static recognition detection algorithms are widely used in the smart retail industry since the scene is simple, while low-cost/low computing power devices are widely used. For industrial manufacturing, smart mining, smart transportation and other scenarios, medium computing power (20-100TOPS) is sufficient to meet the computing power demands of most scenarios. The market size of medium computing power boxes in 2023 is US$180 million, with a 55% market share, and is likely to remain in a leading position in the next few years.
Production by Region
From the market competition point of view, edge AI box companies are currently predominantly in mainland China and Taiwan, China, and the market output of the two regions takes more than 95% of the share. Alibaba Cloud, Lenovo, Advantech, AAEON Technology, Twowin Technology, Guangzhou Embedded Machine Technology, Guangzhou Embedded Machine Technology, etc., are the first core companies, and the share of the first 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.
Aside from that, increasing adoption of 5G networks and the Internet of Things (IoT) is likely to further accelerate demand for edge AI solutions. Though the growth opportunity exists, the edge AI box market also possesses some issues. One of them is complexity in the deployment and management of edge AI solutions. Edge AI boxes need to be integrated into existing infrastructure, data management, and security factors, which might be difficult for companies. Furthermore, since edge AI is concerned with processing sensitive information at the network edge, data privacy and security are also issues. Data protection and compliance are the requirements for the large-scale adoption of edge AI solutions. Overall, the edge AI box market is likely to witness historic growth, triggered by increasing demand for processing and analyzing real-time data at the network edge. Though market dominance is with major players, startups and small players can offer specialized edge AI solutions. Deployment complexity and data privacy-related concerns must be resolved, however, for the market to reach its maximum potential.
Report Scope
The report tries to present a complete view of the Edge AI Box global market, quantitative and qualitative, to assist readers in formulating business/growth strategies, studying the market competition landscape, examining their company's place in the market, and making sound business decisions on Edge AI Box.
The Edge AI Box market size, estimates, and forecasts are given in terms of production/shipments (K Units) and revenue ($ millions), with the base year being 2023, with history and forecast data given for the period from 2019 to 2030. This report segments the global Edge AI Box market fully. Regional market sizes, in terms of products by Type, by Application, and by players, are also mapped.
To provide a complete market analysis, the report includes profiles of the competitive landscape, key players, and their respective market shares. Technological developments and new product introductions are also discussed in the report.
The report will assist the Edge AI Box manufacturers, new entrants, and Edge AI Box industry chain related companies in this revenue, production, and average price analysis for the overall market and the sub-segments by various segments, by company, by Type, by Application, and by regions. Market Segmentation
Scope of Edge AI Box Market Report
| Report Metric | Details |
| Report Name | Edge AI Box Market |
| Accounted market size in 2023 | US$ 329 million |
| Forecasted market size in 2030 | US$ 759 million |
| CAGR | 12.5% |
| Base Year | 2023 |
| Forecasted years | 2024 - 2030 |
| by Type |
|
| by Application |
|
Production by Region |
|
Consumption by Region |
|
 By Company |
Alibaba Cloud, Lenovo, Advantech, AAEON Technology, Twowin Technology, Guangzhou Embedded Machine Technology, ADLINK Technology, Eurotech, Jwipc Technology, Thundercomm, EDGEMATRIX, Shenzhen Geniatech, Shenzhen CoreRain, Shenzhen Smart Device Technology, Sichuan Wanwu Zongheng Technology, 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 |
| Forecast units | USD million in value |
| Report coverage | Revenue and volume forecast, company share, competitive landscape, growth factors and trends |
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FEATURED COMPANIES
- Advantech
- Thundercomm
- Inventec
- EDGEMATRIX
- Alibaba Cloud
- Lenovo
- AAEON Technology
- Twowin Technology
- Guangzhou Embedded Machine Technology
- ADLINK Technology
- Eurotech
- JWIPC Technology
- Shenzhen Geniatech
- Shenzhen CoreRain
- Shenzhen Smart Device Technology
- Sichuan Wanwu Zongheng Technology
- Arbor
- FORECR
- Newland Digital Technology
- Hangzhou Yanzhi Technology
- Shenzhen Micagent
- Beijing NEXGEMO Technology
- Shenzhen King Histrong
- Guangzhou STONKAM
- Changzhou Haitu Electronic
- PlanetSpark
- Ingrasys
- Mistral Solutions
- Amnimo Inc
Chapter Outline
- Chapter 1Introduces the report scope of the report, executive summary of different market segments (by region, by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
- Chapter 2Detailed analysis of Edge AI Box manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
- Chapter 3Production/output, value of Edge AI Box by region/country. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
- Chapter 4Consumption of Edge AI Box in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
- Chapter 5Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
- Chapter 6Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
- Chapter 7Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
- Chapter 8Analysis of industrial chain, including the upstream and downstream of the industry.
- Chapter 9Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
- Chapter 10The main points and conclusions of the report.
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