Market Highlights

The global edge AI hardware market registered a transaction of 532.4 million units in 2018 and is expected to reach 1,681.8 million units by the end of forecast period with a CAGR of 21.72%. Growth in Artificial Intelligence (AI) has created huge opportunities for semiconductor companies. Edge AI processing involves low latency which is an advantage and hence is contributing to growth of the market. Edge AI processing helps reducing the data travelling time so that companies can analyze data on real-time basis. AI hardware is the core enabler for various solutions such as facial recognition and virtual assistant managing homes.

Segmentation

By component, the market is segmented into CPU, GPU, ASIC, and others. CPU is expected to dominate the Edge AI Chip market during the forecast period as it is the core processor for any edge AI hardware. ASIC segment is expected to grow at the highest CAGR during the forecast period.

By device, the market is segmented into smartphone, camera, robot, automobile, smart speaker, wearables, and smart mirror. The smartphones segment had the largest revenue share in the Edge AI hardware market in 2018 and is expected to continue its dominance throughout the forecast period. The camera segment is expected to grow at a significant CAGR during the forecast period.

By power consumption, the edge AI hardware market is segmented into less than 1 W, 1–3 W, 3–5 W, 5–10 W, and more than 10 W. By process, the edge AI hardware market is divided into training and inference.

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Which Top Market Participants are Consider for the highest Edge AI hardware market share?

Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Google Inc. (US), NVIDIA Corporation (US), Qualcomm (US), MediaTek Inc. (Taiwan), Xilinx Inc. (US), and Microsoft Corporation (US). These players contribute a major share in the growth of edge AI hardware market. The other prominent companies in the edge AI hardware market include Huawei Technologies Co., Ltd. (China), Imagination Technologies Limited (UK), and Cambricon Technologies (China) among others.

Which segment will provide the most chance for Edge AI hardware Market growth Analysis till 2027?   

The global Industry segmented into Edge AI hardware Market Size, type, component, voltage, application and region. By type the segment is further classified into skid mounted and mobile Edge AI hardware. By component, the segment is further classified into switchgear, bus bar, HVAC systems, transformer, frequency drives, monitoring and control systems and others. By voltage, the segment, is further classified into low voltage and medium voltage Edge AI hardware. Edge AI hardware are used in various industries such as oil and gas, mining, transportation, and power utilities.

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Apart from the uses and features, the global Edge AI hardware Industry faces challenges from vendor dependency, security issues, and other factors, which has restrained the global Edge AI hardware market growth. This file offers a complete outlook on the opposition, opportunities, drivers & restraints, and other factors affecting the neighborhood and global serverless architecture marketplace. The worldwide market is anticipated to sign in approximately 25 % annual growth in this era.  

Edge AI hardware Market By Geography

Asia pacific

Europe

North America

The Middle East and Africa

Latin America

Market Segmentation

Edge AI hardware Market Covid 19 Analysis

Due to a rise in phishing activities, COVID-19 has substantially increased the adoption of cloud infrastructure and services. In addition, COVID-19 has significantly increased the security budget, which has resulted in a large increase in cloud infrastructure and services. According to the findings of a study conducted by Microsoft and published in August 2020, 36% of the total 800 respondents said that the budget for cybersecurity had risen as a consequence of the pandemic outbreak. Additionally, 42 percent of those who answered the survey said that the company altered its personnel by adding more security experts.

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Table of contents:

1 EXECUTIVE SUMMARY

1.1 GLOBAL Edge AI hardware MARKET, BY COMPONENT

1.2 GLOBAL Edge AI hardware MARKET, BY ORGANIZATION SIZE

1.3 GLOBAL Edge AI hardware MARKET, BY DEPLOYMENT

1.4 GLOBAL Edge AI hardware MARKET, BY END-USERS

1.5 GLOBAL Edge AI hardware MARKET, BY REGION

2 MARKET INTRODUCTIONS

2.1 DEFINITION

2.2 SCOPE OF THE STUDY

2.3 RESEARCH OBJECTIVE

2.4 MARKET STRUCTURE

3 RESEARCH METHODOLOGY

3.1 RESEARCH PROCESS

3.2 PRIMARY RESEARCH

3.3 SECONDARY RESEARCH

3.4 MARKET SIZE ESTIMATION

3.5 FORECAST MODEL

3.6 LIST OF ASSUMPTIONS

4 MARKET DYNAMICS

Continued…

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