Edge AI Hardware Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2019 - 2027

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Significant rise in edge computing in IoT and growing need for dedicated AI processors that are used for on-device image analytics has surged growth in the global edge AI hardware market. Growing inclination for real-time processing and low latency on edge devices has further augmented growth in this market. Moreover, introduction of AI coprocessors for edge computing is also expected to provide a fillip in the global edge AI hardware market.

But there is one thing that might challenge the growth in this market is the dearth of AI experts and on-device training instructors. However, with growing technological developments and increasing demand for AI based technology and devices might overcome these restraints.


Apart from key market drivers, the report also elucidates on various other factors that influence growth in the global edge AI hardware market. Detailed competitors profile, geographical reach and growth, and various other trends, restraints and opportunities are also systematically presented in the report. All the information is provided in analytical and statistical manner. These insights will help key market participants to take better and well-analyzed decisions.       

Global Edge AI Hardware Market: Notable Developments

Players in the global edge AI hardware market are making persistent efforts by using advanced technologies and are engaged in various organic and inorganic strategies that has increased growth opportunities in the market. For instance:

Introduction of TITAN V by NVIDIA in Dec 2017 has expanded edge AI hardware market.  TITAN V is the most powerful GPU in the world used for PC, driven by most advanced GPU architecture, NVIDIA Volta. It has excellent computational processing that is used for scientific simulation. Moreover, it has 21.1 billion transistors that deliver 110 teraflops of raw horsepower, which is 9 times faster as compared to its predecessor. And it is extremely energy efficient.

Alibaba Cloud and Intel together launched a Joint Edge Computing Platform that provides enterprises to develop customized device-to-cloud IoT solutions. This platform uses several edge-computing circumstances, such as smart building, industrial manufacturing, and smart community. This Platform is an open architecture that Intel hardware, software, and AI technologies with modern IoT products developed by Alibaba Cloud. Furthermore, the platform utilizes AI and computer vision to convert data at the edge into business insights.

NVIDIA Corporation, Intel Corporation, Huawei Technologies Co., Ltd., Samsung Electronics Co., Ltd., Google Inc., Xilinx Inc., MediaTek Inc., Imagination Technologies Limited, IBM, Qualcomm, and Microsoft Corporation are a few key players operating in the global edge AI hardware market.

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