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Global Deep Learning Chipset Market Will Collaborate to a Revenue of US$1,264.78 mn by the end of 2025
An insightful study, titled “Deep Learning Chipset Market – Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2017 – 2025” has been freshly broadcasted to the vast research repository of Market Research Reports Search Engine (MRRSE). This 188 page research study provides detailed comprehensions and forecasts future growth of the global market with an in-depth study of the factors impacting revenue growth throughout the mentioned forecast period. Further, a deep analysis on the major players from diverse regions is also present in the report.Click here -> To Request Sample Copy of Report @ https://www.mrrse.com/sample/4412
Akin to Artificial Intelligence (AI), the concept and possibilities of deep learning are being contemplated and harnessed for several decades. But, in the recent times, the technology pertaining to algorithmic chips has improved considerably, promising to revolutionize major applications such as data centers to the simplest of microcontrollers. In the near future, as algorithms improve further to become more efficient in inferring and training, the market for deep leaning chipset is primed to flourish. According to this business intelligence publication, the demand in the global deep leaning chipset will multiply at a radically rapid CAGR of 24.7% during the forecast period of 2017 to 2025. The analysts of the report have estimated that the opportunities in the deep leaning chipset market, across the world, will collaborate to a revenue of US$1,264.78 mn by the end of 2025, swelling up substantially from its evaluated valuation of merely US$150.17 mn in 2015.
The deep learning chipset market in current scenario is being led by graphics processing unit and central processing unit, but in the coming years, it is foreseen that there will be an extended role for other chipset types which includes application specific integrated circuit, field programmable gate array, and other emerging chipsets such as the Tensor Processing Unit (TPU). Deep learning models will actually be more of like programs, and will certainly have the capabilities to go far beyond the uninterrupted geometric transformation of the input data, which are currently being worked on. Deep Learning is expected to drive the AI adoption into various enterprises too.
This report segments the deep learning chipset market on the basis of type, compute capacity, and end use industry. By type, the deep learning chipset market is categorized mainly into five categories, namely Graphics Processing Units (GPUs), Central Processing Units (CPUs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) and others. Due to complex algorithms and faster processor, the ASIC and FPGA segments are expected to witness strongest demands over the course of the forecast period. ASIC segment is projected to expand at an above-average CAGR of 25.5% during the aforementioned forecast period. Central processing unit (CPU) is the most known computer component responsible for understanding and executing most of the instructions from the computer devices hardware and software. However by 2025, graphics processing units (GPUs) would be the major chipset among others due its ability to perform together with the CPU for the purpose of deep learning, high end gaming, engineering application, and analytics.
Click here -> To Get Full Report with TOC @ https://www.mrrse.com/deep-learning-chipset-market
Based on compute capacity, the deep learning chipset market is bifurcated into Low (1 TFlops). Based on end use industry, the market has been classified into consumer electronics, automotive, industrial, healthcare, and aerospace & defense.
Market Segmentation
Global Deep Learning Chipset Market, by Type
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Global Deep Learning Chipset Market, by Compute Capacity
Low (1 TFlops)
Global Deep Learning Chipset Market, by End-User
Consumer Electronics,
Automotive,
Industrial,
Healthcare,
Aerospace & Defense
Others
Global Deep Learning Chipset Market, by Geography
North America
The U.S.
Canada
Rest of North America
Europe
K.
Germany
France
Rest of Europe
Asia Pacific (APAC)
Japan
China
India
South Korea
Rest of APAC
Middle East and Africa (MEA)
GCC
South Africa
Rest of MEA
South America
Brazil
Rest of South America
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