Deep Learning Chipset Industry 2019
Description:-
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 Report:
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.
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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.
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 2024, from 870 million US$ in 2019, according to a new GIR (Global Info Research) study.
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.
Market Segment by Manufacturers, this report covers
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Market Segment by Applications, can be divided into
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Deep Learning Chipset product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top manufacturers of Deep Learning Chipset, with price, sales, revenue and global market share of Deep Learning Chipset in 2017 and 2018.
Chapter 3, the Deep Learning Chipset competitive situation, sales, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Deep Learning Chipset breakdown data are shown at the regional level, to show the sales, revenue and growth by regions, from 2014 to 2019.
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Table Of Contents – Major Key Points
1 Market Overview
1.1 Deep Learning Chipset Introduction
1.2 Market Analysis by Type
1.2.1 Graphics Processing Units (GPUs)
1.2.2 Central Processing Units (CPUs)
1.2.3 Application Specific Integrated Circuits (ASICs)
1.2.4 Field Programmable Gate Arrays (FPGAs)
1.2.5 Others
1.3 Market Analysis by Applications
1.3.1 Consumer
1.3.2 Aerospace, Military & Defense
1.3.3 Automotive
1.3.4 Industrial
1.3.5 Medical
1.3.6 Others
1.4 Market Analysis by Regions
1.4.1 North America (United States, Canada and Mexico)
1.4.1.1 United States Market States and Outlook (2014-2024)
1.4.1.2 Canada Market States and Outlook (2014-2024)
1.4.1.3 Mexico Market States and Outlook (2014-2024)
1.4.2 Europe (Germany, France, UK, Russia and Italy)
1.4.2.1 Germany Market States and Outlook (2014-2024)
1.4.2.2 France Market States and Outlook (2014-2024)
1.4.2.3 UK Market States and Outlook (2014-2024)
1.4.2.4 Russia Market States and Outlook (2014-2024)
1.4.2.5 Italy Market States and Outlook (2014-2024)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
1.4.3.1 China Market States and Outlook (2014-2024)
1.4.3.2 Japan Market States and Outlook (2014-2024)
1.4.3.3 Korea Market States and Outlook (2014-2024)
1.4.3.4 India Market States and Outlook (2014-2024)
1.4.3.5 Southeast Asia Market States and Outlook (2014-2024)
1.4.4 South America, Middle East and Africa
1.4.4.1 Brazil Market States and Outlook (2014-2024)
1.4.4.2 Egypt Market States and Outlook (2014-2024)
1.4.4.3 Saudi Arabia Market States and Outlook (2014-2024)
1.4.4.4 South Africa Market States and Outlook (2014-2024)
1.4.4.5 Turkey Market States and Outlook (2014-2024)
1.5 Market Dynamics
1.5.1 Market Opportunities
1.5.2 Market Risk
1.5.3 Market Driving Force
2 Manufacturers Profiles
2.1 NVIDIA
2.1.1 Business Overview
2.1.2 Deep Learning Chipset Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 NVIDIA Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
2.2 Intel
2.2.1 Business Overview
2.2.2 Deep Learning Chipset Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Intel Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
2.3 IBM
2.3.1 Business Overview
2.3.2 Deep Learning Chipset Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 IBM Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
2.4 Qualcomm
2.4.1 Business Overview
2.4.2 Deep Learning Chipset Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Qualcomm Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
2.5 CEVA
2.5.1 Business Overview
2.5.2 Deep Learning Chipset Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 CEVA Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
2.6 KnuEdge
2.6.1 Business Overview
2.6.2 Deep Learning Chipset Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 KnuEdge Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
2.7 AMD
2.7.1 Business Overview
2.7.2 Deep Learning Chipset Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 AMD Deep Learning Chipset Sales, Price, Revenue, Gross Margin and Market Share (2017-2018)
Continued……
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