Deep Neural Network ASICs Market Analysis, Share, Growth, Trends, Revenue, Overview and Forecast 2021-2030

An Application-Specific Integrated Circuit (ASIC) is a customized version of a general-purpose processor, developed for a specific use. Unlike other chip types such as FPGAs, CPUs and GPUs, ASICs are typically faster and used to perform parallel processing of complex algorithms. Therefore, companies that use AI technology are inclined towards integrating ASIC into their systems. ASICs are extensively used to handle both training and inference tasks. Most of the time, training a deep neural network, such as Resnet-50 requires high-end computational capabilities, thus making ASICs an obvious choice to train AI models and deliver AI computations.

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Competitive Landscape

The deep neural network ASICs market is comprised of various market players such as Intel Corporation, IBM Corporation, Qualcomm, Nvidia Corporation, Advanced Micro Devices, Inc., STMicroelectronics, NXP Semiconductors N.V., MediaTek Inc., HiSilicon, and Rockchip. Other players operating in this market include Google LLC, Amazon Web Services, Inc., Microsoft corporation, Apple, Inc., Alibaba Group (Aliyun), Baidu, Inc., Tencent Holdings Ltd., Huawei Technologies Co., Ltd., Facebook, Inc., and others. These market players are adopting various business strategies and planning expansion of business across various regions to maintain their dominance in the deep neural network ASICs market. For example, in November 14, 2019, Intel launched the Nervana NNP-T1000 for training and NNP-I1000 for inference, an ASIC that stroked the balance between communication, computing, and memory. This allowed energy-efficient and near-linear scaling from small clusters up to supercomputers. The company said that both the products were developed for customers such as Baidu and Facebook as they have massive AI processing needs.

Market Dynamics and Trends

Rise in the adoption of AI, across various industry verticals for purposes such as accurate results and high-end work proficiency is a major factor expected to drive the growth of the global deep neural network ASICs market. Also, increasing hardware acceleration and growing demand for faster AI computation among IT companies are factors expected to boost the growth of global deep neural network ASICs market in the coming years.

However, high cost associated with research & manufacturing of such sophisticated chips and time-consuming production process which typically requires a team of 10 to 1000 manpower, depending on the size and complexity of the chip, are the factors that could restrain the growth of market during the forecast period. On the contrary, rise in the number of ASIC launches globally by major players such as Google and Intel are expected to create ample growth opportunities for the market in the coming years.

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Geographical Analysis

Asia-Pacific is expected to dominate the global deep neural network ASICs market during the forecast period. This is attributed to factors such as supply of cost-efficient manufacturing facilities in developing countries like China, Taiwan, and India. In addition, increasing adoption of AI powered products across various industries such as BFSI, healthcare, IT and telecom in this region along with growing digitalization is expected to fuel the growth of the market in this region. However, North America deep neural network ASICs market has garnered the highest revenue in 2021 due to the dominance of major players operating from this region. This is attributed to, deep learning and automotive research in North America that encourages training of algorithms to performing calculations on floating-point variables in order to provide low-precision arithmetic, which in turn increases the effectiveness of the hardware.

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