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With the growing need to streamline large volumes of data (training) and computing answers (interference), demand for highly sophisticated deep learning chipsets witnessed unprecedented growth. A large amount of deep learning chipsets was developed for usage across data centers worldwide. <br>
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Deep Learning Chipset MarketHigh Demand for Deep Learning Chipsets Due to Large Volumes of Data Sets The artificial intelligence (AI) wave has captivated the attention of stakeholders operating in an array of industry verticals. Evolving from neural networks to present-day deep learning architectures, AI has come a long way. The soaring demand for deep learning across a host of industrial sectors, including healthcare, aerospace & defense, automotive, and consumer electronics has played an imperative role in boosting the demand for deep learning chipsets in recent years – a trend that is likely to play a key role in the expansion of the deep learning chipset market in the coming years. The uptake of deep learning chipsets is primarily driven by high volumes of data required to run deep learning and machine learning models. ©2019 Transparency Market Research, All Rights Reserved
Key Players in the Report: The Deep Learning Chipset Market is concentrated in nature with leading players such as • IBM Corporation • Graphcore Ltd. • CEVA Inc. • Advanced Micro Devices Inc. • NVIDIA Corporation • Intel Corporation • IBM Corporation • Movidius • XILINX INC. • TeraDeepInc
Report Highlights • Technological advancements are enabling the development of powerful and cutting-edge deep learning chipsets. Deep learning chipsets are increasingly being used in a range of consumer electronic items, including augmented reality/virtual reality (AR/VR) headsets, smart speakers, smartphones, and a host of other devices that require AI processing. • The deep learning technology is driving advancements in artificial intelligence (AI). In the current scenario, the deep learning chipset technology is being led by graphics processing units and central processing units. • With the growing need to streamline large volumes of data (training) and computing answers (interference), demand for highly sophisticated deep learning chipsets witnessed unprecedented growth. A large amount of deep learning chipsets was developed for usage across data centers worldwide. Request Sample of Report
AI domain is expected to streamline and improve a machine’s capacity to carry out cognitive functions linked with humans, including reasoning, learning, and perceiving. Due to these factors, along with widening applications of AI, the deep learning chipset market is expected to reach a value of ~US$ 35.2 Bn by the end of 2027, a five-fold growth from ~US$ 6.4 Bn in 2019. • The deep learning chipset market is estimated to expand at a CAGR of ~24% during the forecast period, owing to numerous factors, regarding which TMR offers thorough insights and forecasts in its report on the deep learning chipset market.
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