The global edge AI hardware market size will touch USD 1,681.8 million at a healthy 21.72% CAGR between the forecast period 2019- 2024, according to the new Market Research Future (MRFR) analysis. Edge AI is an algorithm that can process the data locally on the hardware device. Edge AI devices have wide applications in construction, aerospace and defense, healthcare, government, automotive and transportation, smart home, consumer electronics, and others.
Various factors are fuelling the global edge AI hardware market share. According to the recent MRFR market estimates, such factors include the growing demand for real-time processing on edge devices, growing demand for low latency, the emergence of AI coprocessors for edge computing, dedicated AI processors for on-device image analytics, growing demand for edge computing in IoT, increasing industrial applications, use in deep learning models, and increasing demand for advanced healthcare equipment and self-driving cars.
On the contrary, size constraint and power consumption, the limited number of artificial intelligence and machine learning experts, scarcity of on-device training, and the on-going COVID-19 impact are factors that may deter the global edge AI hardware market growth in the region.
Read more@ https://www.marketresearchfuture.com/reports/edge-ai-hardware-market-7836
Key Players
Key contenders profiled in the global edge AI hardware market report include Cambricon Technologies (China), Imagination Technologies Limited (UK), Huawei Technologies Co., Ltd. (China), Microsoft Corporation (US), Xilinx Inc. (US), MediaTek Inc. (Taiwan), Qualcomm (US), NVIDIA Corporation (US), Google Inc. (US), Samsung Electronics Co., Ltd. (South Korea), and Intel Corporation (US).
