Market Overview:
Edge Al is a sophisticated gadget that processes and powers artificial intelligence-based robotics and devices. By processing data in the device itself, this technology is utilized to integrate and improve artificial intelligence processing. This technique does not necessitate the use of cloud computing. As a consequence of these considerations, the gadget makes its own conclusions. The edge AI processing transfers the workflow to the device, which minimizes the traveling time for the data across long channels, allowing businesses to evaluate the data in less time or in real-time. The COVID-19 epidemic has affected people all around the world; some are physically harmed by the virus, while others are economically affected.
Various industrial firms are suffering shutdowns as a result of government rules such as transportation prohibitions, supply chain interruptions, and a labor shortage. Furthermore, because this device can condense huge AI models into compact hardware form factors, the need for edge AI hardware is increasing. Edge AI requires hardware components such as a central processing unit (CPU), GPU, ASIC, FPGA, and SoC accelerators. Because of AI hardware, varied solutions such as virtual assistants managing houses and face recognition programs constitute fundamental enablers. These gadgets are also employed in smart home applications.
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The edge AI hardware market registered a shipment of 532.4 million units in 2018 and is expected to reach 1,681.8 million units by the end of forecast period at a CAGR of 21.72%.
Market Segmentation:
By Component: The worldwide edge AI hardware market is segmented by component into GPU, CPU, ASIC, and others. The CPU (Central Processing Unit) is the market leader since it is the fundamental processor for any form of edge AI hardware device.
By Device: The worldwide edge AI hardware market is divided into several devices such as cameras, smartphones, robots, smart speakers, automobiles, smart mirrors, and wearables.
By Power Consumption: Edge AI hardware is classified into five categories: less than 1 W, 1-3 W, 3-5 W, 5-10 W, and more than 10 W. Because of their sophisticated innovations in hardware devices, the 10W sector has the largest market share.
By the process: The technique divides edge AI hardware into two types: training and inference.
By Vertical: the global advantage The artificial intelligence hardware industry is divided into several categories, including government, smart home, automotive & transportation, healthcare, construction, aerospace & military, consumer electronics, and others.
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Regional Classification:
The region-wise edge AI hardware market is divided into Asia-Pacific, North America, Europe, and the rest of the globe. Because of the rising demand for faster device processing, high latency due to network congestion, quick adoption of edge AI in the US and Canada, and growing reliance on IoT devices, North America is expected to control the greatest edge AI hardware market share throughout the projected period. AI is being applied in consumer electronics and smart home applications, which is driving market growth in this sector.
Industry News:
Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Google Inc. (US), NVIDIA Corporation (US), Qualcomm (US), Media Tek Inc. (Taiwan), Xilinx Inc., Microsoft Corporation (US), Huawei Technologies Co., Ltd. (China), Imagination Technologies Limited (UK), and Cambricon Technologies are the prominent key players in the edge AI hardware market trends (China).
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TABLE OF CONTENTS
1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.3 Research Objectives
2.4 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
4.1 Porter’s Five Forces Analysis
4.1.1 Threat Of New Entrants
4.1.2 Bargaining Power Of Buyers
4.1.3 Threat Of Substitutes
4.1.4 Intensity Of Rivalry
4.1.5 Bargaining Power Of Suppliers
4.2 Value Chain/Supply Chain Of Edge AI Hardware
5 Market Landscape
5.1 Introduction
5.2 Growth Drivers
5.3 Impact Analysis
5.4 Market Challenges
Continued…
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