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Global and Japan Deep Learning Chipsets Market Size, Status and Forecast 2020-2026

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1 Report Overview

  • 1.1 Study Scope
  • 1.2 Market Analysis by Type
    • 1.2.1 Global Deep Learning Chipsets Market Size Growth Rate by Type: 2020 VS 2026
    • 1.2.2 CPUs
    • 1.2.3 GPUs
    • 1.2.4 FPGAs
    • 1.2.5 ASICs
    • 1.2.6 SoC Accelerators
    • 1.2.7 Others
  • 1.3 Market by Application
    • 1.3.1 Global Deep Learning Chipsets Market Share by Application: 2020 VS 2026
    • 1.3.2 Automotive
    • 1.3.3 Smart Cameras
    • 1.3.4 Robots
    • 1.3.5 Drones
    • 1.3.6 Mobile Phones
    • 1.3.7 Others
  • 1.4 Study Objectives
  • 1.5 Years Considered

2 Global Growth Trends

  • 2.1 Global Deep Learning Chipsets Market Perspective (2015-2026)
  • 2.2 Global Deep Learning Chipsets Growth Trends by Regions
    • 2.2.1 Deep Learning Chipsets Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 Deep Learning Chipsets Historic Market Share by Regions (2015-2020)
    • 2.2.3 Deep Learning Chipsets Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Market Restraints

3 Competition Landscape by Key Players

  • 3.1 Global Top Deep Learning Chipsets Players by Market Size
    • 3.1.1 Global Top Deep Learning Chipsets Players by Revenue (2015-2020)
    • 3.1.2 Global Deep Learning Chipsets Revenue Market Share by Players (2015-2020)
  • 3.2 Global Deep Learning Chipsets Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.3 Players Covered: Ranking by Deep Learning Chipsets Revenue
  • 3.4 Global Deep Learning Chipsets Market Concentration Ratio
    • 3.4.1 Global Deep Learning Chipsets Market Concentration Ratio (CR5 and HHI)
    • 3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Chipsets Revenue in 2019
  • 3.5 Key Players Deep Learning Chipsets Area Served
  • 3.6 Key Players Deep Learning Chipsets Product Solution and Service
  • 3.7 Date of Enter into Deep Learning Chipsets Market
  • 3.8 Mergers & Acquisitions, Expansion Plans

4 Deep Learning Chipsets Breakdown Data by Type (2015-2026)

  • 4.1 Global Deep Learning Chipsets Historic Market Size by Type (2015-2020)
  • 4.2 Global Deep Learning Chipsets Forecasted Market Size by Type (2021-2026)

5 Deep Learning Chipsets Breakdown Data by Application (2015-2026)

  • 5.1 Global Deep Learning Chipsets Historic Market Size by Application (2015-2020)
  • 5.2 Global Deep Learning Chipsets Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America Deep Learning Chipsets Market Size (2015-2026)
  • 6.2 North America Deep Learning Chipsets Market Size by Type (2015-2020)
  • 6.3 North America Deep Learning Chipsets Market Size by Application (2015-2020)
  • 6.4 North America Deep Learning Chipsets Market Size by Country (2015-2020)
    • 6.4.1 United States
    • 6.4.2 Canada

7 Europe

  • 7.1 Europe Deep Learning Chipsets Market Size (2015-2026)
  • 7.2 Europe Deep Learning Chipsets Market Size by Type (2015-2020)
  • 7.3 Europe Deep Learning Chipsets Market Size by Application (2015-2020)
  • 7.4 Europe Deep Learning Chipsets Market Size by Country (2015-2020)
    • 7.4.1 Germany
    • 7.4.2 France
    • 7.4.3 U.K.
    • 7.4.4 Italy
    • 7.4.5 Russia
    • 7.4.6 Nordic
    • 7.4.7 Rest of Europe

8 China

  • 8.1 China Deep Learning Chipsets Market Size (2015-2026)
  • 8.2 China Deep Learning Chipsets Market Size by Type (2015-2020)
  • 8.3 China Deep Learning Chipsets Market Size by Application (2015-2020)
  • 8.4 China Deep Learning Chipsets Market Size by Region (2015-2020)
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 South Korea
    • 8.4.4 Southeast Asia
    • 8.4.5 India
    • 8.4.6 Australia
    • 8.4.7 Rest of Asia-Pacific

9 Japan

  • 9.1 Japan Deep Learning Chipsets Market Size (2015-2026)
  • 9.2 Japan Deep Learning Chipsets Market Size by Type (2015-2020)
  • 9.3 Japan Deep Learning Chipsets Market Size by Application (2015-2020)
  • 9.4 Japan Deep Learning Chipsets Market Size by Country (2015-2020)
    • 9.4.1 Mexico
    • 9.4.2 Brazil

10 Southeast Asia

  • 10.1 Southeast Asia Deep Learning Chipsets Market Size (2015-2026)
  • 10.2 Southeast Asia Deep Learning Chipsets Market Size by Type (2015-2020)
  • 10.3 Southeast Asia Deep Learning Chipsets Market Size by Application (2015-2020)
  • 10.4 Southeast Asia Deep Learning Chipsets Market Size by Country (2015-2020)
    • 10.4.1 Turkey
    • 10.4.2 Saudi Arabia
    • 10.4.3 UAE
    • 10.4.4 Rest of Middle East & Africa

11 Key Players Profiles

  • 11.1 Google
    • 11.1.1 Google Company Details
    • 11.1.2 Google Business Overview
    • 11.1.3 Google Deep Learning Chipsets Introduction
    • 11.1.4 Google Revenue in Deep Learning Chipsets Business (2015-2020))
    • 11.1.5 Google Recent Development
  • 11.2 Intel
    • 11.2.1 Intel Company Details
    • 11.2.2 Intel Business Overview
    • 11.2.3 Intel Deep Learning Chipsets Introduction
    • 11.2.4 Intel Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.2.5 Intel Recent Development
  • 11.3 Xilinx
    • 11.3.1 Xilinx Company Details
    • 11.3.2 Xilinx Business Overview
    • 11.3.3 Xilinx Deep Learning Chipsets Introduction
    • 11.3.4 Xilinx Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.3.5 Xilinx Recent Development
  • 11.4 AMD
    • 11.4.1 AMD Company Details
    • 11.4.2 AMD Business Overview
    • 11.4.3 AMD Deep Learning Chipsets Introduction
    • 11.4.4 AMD Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.4.5 AMD Recent Development
  • 11.5 NVIDIA
    • 11.5.1 NVIDIA Company Details
    • 11.5.2 NVIDIA Business Overview
    • 11.5.3 NVIDIA Deep Learning Chipsets Introduction
    • 11.5.4 NVIDIA Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.5.5 NVIDIA Recent Development
  • 11.6 ARM
    • 11.6.1 ARM Company Details
    • 11.6.2 ARM Business Overview
    • 11.6.3 ARM Deep Learning Chipsets Introduction
    • 11.6.4 ARM Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.6.5 ARM Recent Development
  • 11.7 Qualcomm
    • 11.7.1 Qualcomm Company Details
    • 11.7.2 Qualcomm Business Overview
    • 11.7.3 Qualcomm Deep Learning Chipsets Introduction
    • 11.7.4 Qualcomm Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.7.5 Qualcomm Recent Development
  • 11.8 IBM
    • 11.8.1 IBM Company Details
    • 11.8.2 IBM Business Overview
    • 11.8.3 IBM Deep Learning Chipsets Introduction
    • 11.8.4 IBM Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.8.5 IBM Recent Development
  • 11.9 Graphcore
    • 11.9.1 Graphcore Company Details
    • 11.9.2 Graphcore Business Overview
    • 11.9.3 Graphcore Deep Learning Chipsets Introduction
    • 11.9.4 Graphcore Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.9.5 Graphcore Recent Development
  • 11.10 BrainChip
    • 11.10.1 BrainChip Company Details
    • 11.10.2 BrainChip Business Overview
    • 11.10.3 BrainChip Deep Learning Chipsets Introduction
    • 11.10.4 BrainChip Revenue in Deep Learning Chipsets Business (2015-2020)
    • 11.10.5 BrainChip Recent Development
  • 11.11 Mobileye
    • 10.11.1 Mobileye Company Details
    • 10.11.2 Mobileye Business Overview
    • 10.11.3 Mobileye Deep Learning Chipsets Introduction
    • 10.11.4 Mobileye Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.11.5 Mobileye Recent Development
  • 11.12 Wave Computing
    • 10.12.1 Wave Computing Company Details
    • 10.12.2 Wave Computing Business Overview
    • 10.12.3 Wave Computing Deep Learning Chipsets Introduction
    • 10.12.4 Wave Computing Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.12.5 Wave Computing Recent Development
  • 11.13 CEVA
    • 10.13.1 CEVA Company Details
    • 10.13.2 CEVA Business Overview
    • 10.13.3 CEVA Deep Learning Chipsets Introduction
    • 10.13.4 CEVA Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.13.5 CEVA Recent Development
  • 11.14 Movidius
    • 10.14.1 Movidius Company Details
    • 10.14.2 Movidius Business Overview
    • 10.14.3 Movidius Deep Learning Chipsets Introduction
    • 10.14.4 Movidius Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.14.5 Movidius Recent Development
  • 11.15 Nervana Systems
    • 10.15.1 Nervana Systems Company Details
    • 10.15.2 Nervana Systems Business Overview
    • 10.15.3 Nervana Systems Deep Learning Chipsets Introduction
    • 10.15.4 Nervana Systems Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.15.5 Nervana Systems Recent Development
  • 11.16 Amazon
    • 10.16.1 Amazon Company Details
    • 10.16.2 Amazon Business Overview
    • 10.16.3 Amazon Deep Learning Chipsets Introduction
    • 10.16.4 Amazon Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.16.5 Amazon Recent Development
  • 11.17 Cerebras Systems
    • 10.17.1 Cerebras Systems Company Details
    • 10.17.2 Cerebras Systems Business Overview
    • 10.17.3 Cerebras Systems Deep Learning Chipsets Introduction
    • 10.17.4 Cerebras Systems Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.17.5 Cerebras Systems Recent Development
  • 11.18 Facebook
    • 10.18.1 Facebook Company Details
    • 10.18.2 Facebook Business Overview
    • 10.18.3 Facebook Deep Learning Chipsets Introduction
    • 10.18.4 Facebook Revenue in Deep Learning Chipsets Business (2015-2020)
    • 10.18.5 Facebook Recent Development

12 Analyst's Viewpoints/Conclusions

    13 Appendix

    • 13.1 Research Methodology
      • 13.1.1 Methodology/Research Approach
      • 13.1.2 Data Source
    • 13.2 Disclaimer

    Global Deep Learning Chipsets Scope and Market Size
    Deep Learning Chipsets market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Deep Learning Chipsets market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

    Market segment by Type, the product can be split into
    CPUs
    GPUs
    FPGAs
    ASICs
    SoC Accelerators
    Others

    Market segment by Application, split into
    Automotive
    Smart Cameras
    Robots
    Drones
    Mobile Phones
    Others

    Based on regional and country-level analysis, the Deep Learning Chipsets market has been segmented as follows:
    North America
    United States
    Canada
    Europe
    Germany
    France
    U.K.
    Italy
    Russia
    Nordic
    Rest of Europe
    Asia-Pacific
    China
    Japan
    South Korea
    Southeast Asia
    India
    Australia
    Rest of Asia-Pacific
    Latin America
    Mexico
    Brazil
    Middle East & Africa
    Turkey
    Saudi Arabia
    UAE
    Rest of Middle East & Africa

    In the competitive analysis section of the report, leading as well as prominent players of the global Deep Learning Chipsets market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
    The key players covered in this study
    Google
    Intel
    Xilinx
    AMD
    NVIDIA
    ARM
    Qualcomm
    IBM
    Graphcore
    BrainChip
    Mobileye
    Wave Computing
    CEVA
    Movidius
    Nervana Systems
    Amazon
    Cerebras Systems
    Facebook

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