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Global Deep Learning Chipset Industry 2018 Industry Analysis, Top Players, Revenue and Market Share ReportOur latest research report entitled Deep Learning Chipset Market (by type (graphics processing units, central processing units, application specific integrated circuits, field programmable gate arrays and others), compute capacity (low (<1tflops) and high (>1tflops)) and end-users (consumer electronics, automotive, industrial, healthcare, aerospace & defense and others)) provides complete and deep insights into the market dynamics and growth of Deep Learning Chipset . Latest information on market risks, industry chain structure Deep Learning Chipset cost structure and opportunities are offered in this report. The past, present and forecast market information will lead to investment feasibility by studying the essential Deep Learning Chipset growth factors.The forecast Deep Learning Chipset Market information is based on the present market situation, growth opportunities, development factors, and opinion of the industry experts. An in-depth analysis of the company profiles, Deep Learning Chipset on global and regional level and applications is conducted. The analysis of downstream buyers, sales channel, raw materials, and industry verticals is offered in this report. According to report the global deep learning chipset market is projected to grow at a CAGR of X.X% over the forecast period of 2018-2024.Ask for Sample Copy of Research Report with Table of Content @ https://www.infiniumglobalresearch.com/reports/sample-request/1488Machine learning chip is a multi-processor chip, that has the ability to learn, reason, and self-correct its algorithm without being clearly programed .The deep learning chipsets includes CPUs, GPUs, FPGAs, ASICs, SoC Accelerators, and other chipsets. They are used in the wide range of applications such as robotics, healthcare, automotive, consumer electronics, and others owing to its enhanced efficiency and durability.Increased adoption of cloud based technology and deep learning usage in big data analytics are the factors driving the growth of the deep learning chipset market. In addition, Invention of a related computer chip, which is known as GPU. A single-chip processor creates lighting effects and transforms objects every time a 3D scene is redrawn or graphic processing unit is turning out to be very meaningful and effective when it is being applied to types of calculations required for neural nets. This in turn is fuelling the growth of the deep learning chipset market. However, low awareness of chipset besides CPU is likely to hamper the growth of the deep learning chipset market during the forecast period. Furthermore, Popularity of Internet of Things (IoT) and increase in demand for automated devices are anticipated to provide lucrative growth opportunities for the key players in the deep learning chipset market. On the other hand, Organizations are utilizing deep learning neural networks to remove valuable perceptions from huge amounts of data for providing innovative products and improving customer experience thereby, increasing revenue opportunities.Among the geographies, North America dominated the deep learning chipset owing to the increase in demand for semiconductor devices and automated devices market followed by Asia Pacific. However, the emerging economies of Japan, China, and India are expected to turn Asia Pacific into the leading region in terms of revenue. Moreover, the market for deep learning in Asia Pacific regions is not only growing for the electronics products such as smartphones, tablets, and PCs, but also medical and automotive products. China and India are anticipated to drive the global deep learning market owing to the High economic growth witnessed.Market Segmentation by Type, Compute Capacity and End-UsersThe report on global deep learning chipset market covers segments such as, type, compute capacity and end-users. On the basis of type the global deep learning chipset market is categorized into graphics processing units, central processing units, application specific integrated circuits, field programmable gate arrays and others. On the basis of compute capacity the global deep learning chipset market is categorized into low (<1tflops) and high (>1tflops). On the basis of end-users the global deep learning chipset market is categorized into consumer electronics, automotive, industrial, healthcare, aerospace & defense and others.Competitive LandscapeThe report provides profiles of the companies in the global deep learning chipset market such as, Google Inc., Qualcomm, IBM Corporation, CEVA Inc., Xilinx, Teradeep Inc., Advanced Micro Devices, Graphcore, NVIDIA Corporation and Microsoft Corporation.Browse Detailed TOC, Description, and Companies Mentioned in Report @ https://www.infiniumglobalresearch.com/ict-semiconductor/global-deep-learning-chipset-market As a community-building service, TMCnet allows user submitted content which is not always proofed by TMCnet editors. If you feel this entry is of inferior quality or wish to report it for some reason, please forward the URL to "webedit [AT] tmcnet [DOT] com" with your comments. [ Back To TMCnet.com's Homepage ] |