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%.
— Market Highlights
edge AI hardware market expected to grow significantly during the forecast period. Companies are working together to manufacture cheap AI hardware. For instance, Intel and Facebook have collaborated to manufacture AI chips which would help deploy machine learning more inexpensively and efficiently.
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.
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By component, the market is segmented into CPU, GPU, ASIC, and others. CPU is expected to dominate the Edge AI hardware 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.
By vertical, the market is segmented into consumer electronics, smart home, automotive & transportation, government, healthcare, aerospace & defense, construction, and others. The consumer electronics sector dominated the edge AI hardware market in 2018 and is expected to contribute a significant revenue share to the market during the forecast period. The smart home segment will grow at a significant CAGR during the forecast period.
The key players profiled in the edge AI hardware market are – 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.
The edge AI hardware market is expected to witness high demand globally due to the rise in smart homes and technological advancements in speech and voice recognition. Major players have opted for partnerships and new product launches as their key organic growth strategies to strengthen their market position. In September 2018, Intel collaborated with Alibaba Cloud to launch a Joint Edge Computing Platform which will allow companies to develop customizable device-to-cloud IoT solutions for various edge computing applications, such as smart building, industrial manufacturing, and smart community.
The global edge AI hardware Market is estimated to grow at a significant rate during the forecast period from 2018 to 2024. The geographic analysis of edge AI hardware market has been conducted for North America, Europe, Asia-Pacific, and the rest of the world (including the Middle East, Africa, and Latin America). Among the regions mentioned, North America is expected to dominate the edge AI hardware market. The rapid adoption of edge AI in the US and Canada is leading to the growth of market. AI is largely being applied on consumer electronics and smart home applications. Asia-Pacific is expected to grow at the highest CAGR during the forecast period. Countries such as China, South Korea, and Taiwan are some of the the largest manufacturers and exporters of semiconductor content which is creating immense opportunities for the growth of edge AI hardware market.
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
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LIST OF TABLES
Table 1 Global Edge AI Hardware Market, By Region, 2019–2024
Table 2 North America: Edge AI Hardware Market, By Country, 2019–2024
Table 3 Europe: Edge AI Hardware Market, By Country, 2019–2024
LIST OF FIGURES
FIGURE 1 Global Edge AI Hardware Market Segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Porter’s Five Forces Analysis Of The Global Edge AI Hardware Market
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