Albany, NY -- (SBWire) -- 04/19/2019 --ResearchMoz present a comprehensive research report namely "Global Deep Learning Chipsets Market Size, Status and Forecast 2019-2025" which reveals an extensive analysis of global industry by delivering the detailed information about Forthcoming Trends, Customer's Expectations, Technological Improvements, Competitive Dynamics and Working Capital in the Market. This is an in-depth study of the market enlightening key forecast to 2025.

Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.

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The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.

This report focuses on the global Deep Learning Chipsets status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Deep Learning Chipsets development in United States, Europe and China.

The key players covered in this study
-Google
-Intel
-Xilinx
-AMD
-NVIDIA
-ARM
-Qualcomm
-IBM
-Graphcore
-BrainChip
-Mobileye
-Wave Computing
-CEVA
-Movidius
-Nervana Systems
-Amazon
-Cerebras Systems
-Facebook

Market segment by Type, the product can be split into
-CPUs
-GPUs
-FPGAs
-ASICs
-SoC Accelerators
-Others

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Market segment by Application, split into
-Automotive
-Smart Cameras
-Robots
-Drones
-Mobile Phones
-Others

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