North America Deep Learning Chipset Market by Manufacturers, Countries, Type and Application, Forecast to 2022

Published: December 2017
No. of Pages: 124
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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 North America market, especially in United States, Canada and Mexico. This report categorizes the market based on manufacturers, countries, 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 Countries, covering

  • United States
  • Canada
  • Mexico

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 North America Deep Learning Chipset market.

Chapter 1, to describe Deep Learning Chipset Introduction, product type and application, market overview, market analysis by countries, market opportunities, market risk, market driving force;

Chapter 2, to analyze the manufacturers of Deep Learning Chipset, with profile, main business, news, sales, price, revenue and market share in 2016 and 2017;

Chapter 3, to display the competitive situation among the top manufacturers, with profile, main business, news, sales, price, revenue and market share in 2016 and 2017;

Chapter 4, to show the North America market by countries, covering United States, Canada and Mexico, with sales, revenue and market share of Deep Learning Chipset, for each country, from 2012 to 2017;

Chapter 5 and 6, to show the market by type and application, with sales, price, revenue, market share and growth rate by type, application, from 2012 to 2017;

Chapter 7, 8 and 9, to analyze the segment market in United States, Canada and Mexico, by manufacturers, type and application, with sales, price, revenue and market share by manufacturers, types and applications;

Chapter 10, Deep Learning Chipset market forecast, by countries, type and application, with sales, price and revenue, from 2017 to 2022;

Chapter 11, to analyze the manufacturing cost, key raw materials and manufacturing process etc.

Chapter 12, to analyze the industrial chain, sourcing strategy and downstream end users (buyers);

Chapter 13, to describe sales channel, distributors, traders, dealers etc.

Chapter 14 and 15, to describe Deep Learning Chipset Research Findings and Conclusion, Appendix, methodology and data source

Published By: Global Info Research
Product Code: Global Info Research391392


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