Edge AI Hardware Market

Market Leadership - Edge AI Hardware Market

The edge AI hardware market is expected to register a shipment of 610 million units in 2019 and is likely to reach 1559.3 million units by 2024, at a CAGR of 20.64% during the forecast period. Key drivers for the market’s growth are growing demand for low latency and real-time processing on edge devices and emergence of AI coprocessors for edge computing. Further, underlying opportunities for the edge AI hardware market include growing demand for edge computing in IoT and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and limited number of AI experts. Power consumption and size constraint pose major challenges to the edge AI hardware market.

Intel Corporation (US), NVIDIA Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Huawei Technologies Co., Ltd. (China), Google Inc. (US), MediaTek Inc. (Taiwan), Xilinx Inc. (US), Imagination Technologies Limited (UK), and Microsoft Corporation (US) are a few major players in the edge AI hardware market.

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Top 2 players in Edge AI Hardware Market:

Intel Corporation

Intel is among the market leaders in the design and manufacture of advanced integrated digital technology platforms. The company has robust market presence, especially in the PC and data center market, and invests significantly in R&D, which has resulted in its strong position in the AI market. In the past 2 years, Intel has significantly demonstrated its strong inorganic growth strategy. The acquisition of companies such as Saffron Technology, Altera, Nervana Systems, Movidius, and Mobileye has further improved its AI product portfolio. As a result of this, Intel has launched some major products catering to AI, ML, and DL (neural networking). Moreover, partnership with AI software solution and service providers is expected to remain a vital growth strategy of the company in the coming years.

NVIDIA Corporation

NVIDIA is among the world leaders in the visual computing business. The company has a well-established geographic footprint and mainly deals with major OEMs/ODMs across the world. The company continues to lead in the development of new products for the AI/DL market. Jetson TX-2 for edge AI devices was one of the most prominent product launches.

The company has significantly invested in R&D; for instance, it increased its investment from USD 1.32 billion in 2017 to USD 1.83 billion in 2018. Since its inception, it has made a total R&D investment of over USD 15 billion. Moreover, it has more than 7,300 patents with inventions pertaining to modern computing. This has resulted in its strong organic growth and robust market position in terms of hardware product development in the AI market. Also, the company’s data center business (which usually demands for GPU for AI applications) increased tremendously from USD 830 million in 2017 to USD 1,932 million in 2018. Additionally, with products such as Tegra and DRIVE PX, NVIDIA aims to establish its high-performance computing capabilities in autonomous driving. Further, the company focuses on concurrently developing multiple generations of GPUs and Tegra processors for high-performance computing and future AI needs.

Related Reports:

Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearables, and Smart Mirror), Processor (CPU, GPU, ASIC and Others), Power Consumption, Process, End User Industry, and Region - Global Forecast to 2024

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Report Code
SE 7017
RI Published ON
4/3/2019
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