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This report studies the Deep Learning Chipset market. 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:
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 (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)
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
There are 15 Chapters to deeply display the global Deep Learning Chipset market.
Chapter 1, to describe Deep Learning Chipset Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Deep Learning Chipset, with sales, revenue, and price of Deep Learning Chipset, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Deep Learning Chipset, for each region, from 2012 to 2017;
Chapter 5, 6, 7, 8 and 9, to analyze the key regions, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2017;
Chapter 12, Deep Learning Chipset market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;
Chapter 13, 14 and 15, to describe Deep Learning Chipset sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source
Scope of the 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.
Market Segment by Manufacturers, this report covers
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Graphcore
TeraDeep
Wave Computing
BrainChip
Market Segment by Regions, 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)
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
There are 15 Chapters to deeply display the global Deep Learning Chipset market.
Chapter 1, to describe Deep Learning Chipset Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Deep Learning Chipset, with sales, revenue, and price of Deep Learning Chipset, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Deep Learning Chipset, for each region, from 2012 to 2017;
Chapter 5, 6, 7, 8 and 9, to analyze the key regions, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2017;
Chapter 12, Deep Learning Chipset market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;
Chapter 13, 14 and 15, to describe Deep Learning Chipset sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
