AI Box Research:CAGR of 12.19% during the forecast period

AI Box Market Summary

The AI ​​box is an edge computing hardware with a built-in dedicated AI chip designed to directly run machine learning algorithms and applications locally. At the same time, the AI ​​box also integrates artificial intelligence processing capabilities and edge computing functions, and can run AI algorithms directly on the device, such as machine vision, speech recognition, etc., thereby achieving real-time data analysis and decision-making, effectively reducing the dependence on cloud servers for data processing. . The significant advantages of this box are reflected in: promoting intelligent upgrading of applications, achieving faster response capabilities, and significantly reducing the need for network communication bandwidth. Devices are often deployed at the edge of the network to more quickly process and respond to data from Internet of Things (IoT) devices such as sensors and cameras without having to send the data to the cloud for processing.

AI boxes can usually be equipped with a variety of AI computing chips for different application scenarios, algorithms/performance requirements, etc., such as graphics rendering GPU, neural network acceleration NPU, etc. By integrating AI computing power chips and algorithms, the difference between edge boxes and conventional edge computing gateways or industrial controls lies in edge computing capabilities, which are suitable for scenarios with high real-time requirements, large amounts of data, and limited network bandwidth.



According to the new market research report "Global AI Box Market Report 2024-2030", published by QYResearch, the global AI Box market size is projected to grow from USD 632 million in 2023 to USD 1434 million by 2030, at a CAGR of 12.19% during the forecast period.



Global AI Box MarketSize(US$ Million), 2019-2030
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Above data is based on report from QYResearch: Global AI Box Market Report 2024-2030 (published in 2024). If you need the latest data, plaese contact QYResearch.



Global AI Box Top35Players Ranking and Market Share (Ranking is based on the revenue of 2023, continually updated)
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Above data is based on report from QYResearch: Global AI Box Market Report 2024-2030 (published in 2024). If you need the latest data, plaese contact QYResearch.

From the perspective of market competition, AI box companies are currently mainly distributed in mainland China and Taiwan, China, and the market output in these two regions accounts for more than 95% of the market share. The leading core companies are mainly Alibaba Cloud, Lenovo, Advantech, Zhejiang Dahua, Huawei, Hangzhou Hikvision, AAEON Technology, Tencent, Twowin Technology, ADLINK Technology, Guangzhou Embedded Machine Technology, Baidu, etc., and the top 5 companies account for nearly 39.5%. 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.

AI Box,Global Market Size, Split by ApplicationSegment
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Based on or includes research from QYResearch: Global AI Box Market Report 2024-2030.

The downstream of AI boxes are applied in various industries, among which intelligent 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 US$600 million 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 simplicity of the scene, static recognition detection algorithms are usually used, and low-cost/low-computing-power equipment is 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.

Drivers:

Policy support: The country vigorously promotes the construction of new infrastructure, including 5G networks, Internet of Things, big data centers, etc., providing good infrastructure support for the development of AI boxes. Many local governments have introduced subsidies and preferential tax policies to support AI boxes, reducing the construction and operating costs of enterprises.

Market demand growth: In the context of Industry 4.0, smart manufacturing has increasing demands for real-time data processing and high reliability, and AI boxes can meet these needs. In the field of intelligent security, AI boxes are used for real-time video analysis, face recognition, behavior recognition, etc., improving security and response speed. In smart cities, AI boxes are used in traffic management, environmental monitoring, public safety, etc., improving the intelligence level of urban management.

Technological progress: The development of high-performance processors, such as GPU, TPU and FPGA, has significantly improved the computing power of AI boxes, enabling them to handle complex AI tasks. Through model compression and pruning technology, large deep learning models are converted into lightweight models, which are suitable for computing resources of edge devices.

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