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(IT-NEWSWIRE.COM, December 31, 2018 ) Global Deep Learning Chipsets Market 2018-2023
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.
Scope of the Global Deep Learning Chipsets Market Report
This report studies the Deep Learning Chipsets market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Deep Learning Chipsets market by product type and applications/end industries.
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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.
The global Deep Learning Chipsets market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Deep Learning Chipsets.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
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This report covers Analysis of Global Deep Learning Chipsets Market Segment by Manufacturers
Google
Intel
Xilinx
AMD
NVIDIA
ARM
Qualcomm
IBM
Graphcore
BrainChip
Mobileye
Wave Computing
CEVA
Movidius
Nervana Systems
Amazon
Cerebras Systems
Facebook
Global Deep Learning Chipsets 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 Chipsets Market Segment by Type
CPUs
GPUs
FPGAs
ASICs
SoC Accelerators
Others
Global Deep Learning Chipsets Market Segment by Applications, can be divided into
Automotive
Smart Cameras
Robots
Drones
Mobile Phones
Others
Some of the Points cover in Global Deep Learning Chipsets Market Research Report is:
Chapter 1: Describe Deep Learning Chipsets Industry
Introduction,
Product Scope,
Market Overview,
Market Opportunities,
Market Risk,
Market Driving Force
Chapter 2: To analyze the top manufacturers of Deep Learning Chipsets 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 Chipsets Market by regions from 2013 to 2018
Sales
Revenue and market share
Chapter 5, 6, 7 and 8: Global Deep Learning Chipsets Market by key countries in these regions
Sales
Revenue and market share
Chapter 9 and 10: Global Deep Learning Chipsets Market by type and application from 2013 to 2018
Sales
Revenue and market share
Growth rate
Chapter 11:Deep Learning Chipsets Industry Market forecast from 2018 to 2023
Regions
Type and application with sales and revenue
Chapter 12 and 13:Deep Learning Chipsets Industry
Sales channel
Distributors
Traders and dealers
Appendix
Data source
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