Pune, India -- (SBWIRE) -- 08/27/2018 -- Big data analytics to promote growth in the deep learning chipset market over 2018 to 2024

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.

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North America region to contribute to growth in the global deep learning chipset market

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.

Mergers and Acquisitions to remain key expansion strategies of the leading players in the deep learning chipset market

Google and Movidius to Enhance Deep Learning Capabilities in Next-Gen Devices

 In January 2016, Movidius collaborated with Google, Inc. to enhance its deep learning capabilities on mobile devices. As part of the agreement, Google will source Movidius processors alongside the entire Movidius software development environment.

Intel Corporation announced the acquisition of Movidius

In September 2016, Intel Corporation announced the acquisition of Movidius for improvising its computer vision and deep learning solutions. Movidius, a small chipmaker that makes computer vision processors used in drones and virtual reality devices, among other products.

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The companies profiled in the deep learning chipset market are Advanced Micro Devices, Inc., Google Inc., Graphcore, Intel Corporation, International Business Machines (IBM) Corporation, Nvidia Corporation, Qualcomm Technologies, Inc., Taiwan Semiconductor Manufacturing Company Ltd., Wave Computing, and XILINX Inc

Report Highlights:

The report provides deep insights on demand forecasts, market trends and micro and macro indicators. In addition, this report provides insights on the factors that are driving and restraining the global deep learning chipset market. Moreover, IGR-Growth Matrix analysis given in the report brings an insight on the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of deep learning chipset market. Moreover, the study highlights current market trends and provides forecast from 2018-2024. We also have highlighted future trends in the deep learning chipset market that will impact the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight on the market share of the leading players. This report will help manufacturers, suppliers and distributors of the deep learning chipset market to understand the present and future trends in this market and formulate their strategies accordingly.