Artificial Intelligence

The Asia Pacific deep learning chip market accounted for US$ 372.0 Mn in 2018 and is expected to grow at a CAGR of 35.7% over the forecast period 2019–2027, to account for US$ 5,702.2 Mn in 2027

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New York, Feb. 21, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Asia Pacific Deep Learning Chip Market to 2027 – Regional Analysis and Forecasts by Chip Type ; Technology ; Industry Vertical” – https://www.reportlinker.com/p05862067/?utm_source=GNW
The Asia Pacific deep learning chip market accounted for US$ 372.0 Mn in 2018 and is expected to grow at a CAGR of 35.7% over the forecast period 2019–2027, to account for US$ 5,702.2 Mn in 2027. The rising significance of quantum computing is the major factor that is driving the growth of the deep learning chip market. Moreover, the growing adoption of deep learning chips mainly for edge devices is expected to boost the deep learning chip market during the forecast period. However, deficiency of technology and infrastructure knowledge in third world countries is anticipated to hinder the market growth in the coming years. With AI accelerators evolving at an unprecedented rate, new hardware platforms are being optimized to facilitate greater autonomy to edge devices such as mobiles, embedded, and internet of things (IoT) devices. The proliferation of smartphone-embedded deep learning processors by tech giants like Apple, Samsung, and Google is already gaining traction and driving the growth of deep learning chip market in edge devices. Deep learning robotics is another noteworthy application of artificial intelligence which is driving the growth of deep learning chips in self-driving cars, drones, smart appliances, and industrial IoT. Major companies such as NVIDIA, Apple, Google, Huawei, and Intel in the deep learning chip market for edge devices are showing interest as well as investing in edge inferencing. With all these developments, it is expected that edge computing is going to be the growth driver for future adoption of deep learning chips, which in turn supports the growth of deep learning chip market.
The deep learning chip market is fragmented in nature due to the presence of several industries, and the competitive dynamics in the market is anticipated to change during the coming years.In addition to this, various initiatives are undertaken by governmental bodies to accelerate the deep learning chip market further.
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