In Edge AI, on a hardware device, the AI algorithms are processed locally without any connection. It uses information produced from the system and analyses it in less than a few milliseconds to provide real-time insights. Such hardware components, including processors, sensors, cameras, etc., are used to incorporate and enhance the functionality of these AI devices by storing the data in the device itself without cloud systems or cloud computing being needed. This artificial intelligence in edge helps them to be highly responsive, enhance customer experience, and provide security. Compared to hierarchical IoT models, Edge AI enabled devices to process data very quickly. Some of the common Edge AI hardware devices are smart speaker, cameras, smartphone, robots, smart mirror among others.
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Some of the factors responsible for the growth of this Edge AI Hardware Market are:
The global edge AI hardware market is segmented on the basis of device as smartphones, cameras, robots, wearables, smart speaker, automotive, and smart mirror; processors as cpu, gpu, asic, others; power consumption as less than 1w, 1-3w, 3-5w, 5-10w, and more than 10w; process training & inference and end-user industry as consumer electronics, smart home, automotive & transportation, government, healthcare, industrial, aerospace & defense, construction, others
Some of the launches and acquisition in the Edge AI Hardware Market are:
According to Data Bridge Market Research, global edge AI is set to witness a healthy CAGR of 20.27% in the forecast period of 2019-2026
Few of the major competitors currently working in edge AI hardware market are videantis GmbH; Qualcomm Technologies, Inc.; NVIDIA Corporation; Premier Farnell Limited; Micron Technology, Inc.; Alphabet Inc.; SecureRF Corporation; Microsoft; Xilinx Inc.; Intel Corporation; Huawei Technologies Co., Ltd.; SAMSUNG; Apple Inc.; Arm Limited; MediaTek Inc.; Applied Brain Research, Inc.; Horizon Robotics; Cadence Design Systems, Inc.; CEVA, Inc.; Imagination Technologies Limited; Synopsys, Inc.; Thinci; General Vision; Mythic; Adapteva, Inc.; Tenstorrent Inc and VeriSilicon Limited
Growing demand for faster and more powerful hardware devices in AI applications that require lower processing time will accelerate the market growth. Rising availability of dedicated AI processor for on- device image analytics will also enhance the market growth. Increasing prevalence of edge computing in IoT is another factor which is positively impacting the market growth.
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Global Edge AI Hardware Market – Industry Trends and Forecast to 2026