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(IT-NEWSWIRE.COM, September 08, 2018 ) Global Deep Learning Chipset Market 2018-2023
Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.
Scope of the Global Deep Learning Chipset Market Report
This report focuses on the Deep Learning Chipset in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
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The worldwide market for Deep Learning Chipset is expected to grow at a CAGR of roughly 39.1% over the next five years, will reach 6310 million US$ in 2023, from 870 million US$ in 2017, according to a new GIR (Global Info Research) study.
United States has the largest global export quantity and manufacturers in Deep Learning Chipset market, while the EU is the second sales volume market for Deep Learning Chipset in 2016.
In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.
Deep Learning Chipset technology is not mature now, and new enterprises can not surpass existing famous brands on reputation or design in the short term. So, the study group recommends the new entrants need to be considered carefully before enter into this field.
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This report covers Analysis of Global Deep Learning Chipset Market Segment by Manufacturers
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Global Deep Learning Chipset Market Segment by regional analysis covers
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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Global Deep Learning Chipset Market Segment 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 Segment by Applications, can be divided into
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Some of the Points cover in Global Deep Learning Chipset Market Research Report is:
Chapter 1: Describe Deep Learning Chipset Industry
Introduction,
Product Scope,
Market Overview,
Market Opportunities,
Market Risk,
Market Driving Force
Chapter 2: To analyze the top manufacturers of Deep Learning Chipset Industry in 2016 and 2017
Sales
Revenue and price
Chapter 3: Competitive analysis among the top manufacturers in 2016 and 2017
Sales
Revenue and market share
Chapter 4: Global Deep Learning Chipset Market by regions from 2013 to 2018
Sales
Revenue and market share
Chapter 5, 6, 7 and 8: Global Deep Learning Chipset Market by key countries in these regions
Sales
Revenue and market share
Chapter 9 and 10: Global Deep Learning Chipset Market by type and application from 2013 to 2018
Sales
Revenue and market share
Growth rate
Chapter 11:Deep Learning Chipset Industry Market forecast from 2018 to 2023
Regions
Type and application with sales and revenue
Chapter 12 and 13:Deep Learning Chipset Industry
Sales channel
Distributors
Traders and dealers
Appendix
Data source
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