Global Deep Learning Market Size, Status and Forecast 2019-2025

1 Report Overview

• 1.1 Study Scope
• 1.2 Key Market Segments
• 1.3 Players Covered: Ranking by Deep Learning Revenue
• 1.4 Market by Type
  • 1.4.1 Global Deep Learning Market Size Growth Rate by Type: 2020 VS 2026
  • 1.4.2 Hardware
  • 1.4.3 Software
  • 1.4.4 Services
• 1.5 Market by Application
  • 1.5.1 Global Deep Learning Market Share by Application: 2020 VS 2026
  • 1.5.2 Healthcare
  • 1.5.3 Manufacturing
  • 1.5.4 Automotive
  • 1.5.5 Agriculture
  • 1.5.6 Retail
  • 1.5.7 Security
  • 1.5.8 Human Resources
  • 1.5.9 Marketing
• 1.6 Study Objectives
• 1.7 Years Considered

2 Global Growth Trends

• 2.1 Global Deep Learning Market Perspective (2015-2026)
• 2.2 Global Deep Learning Growth Trends by Regions
  • 2.2.1 Deep Learning Market Size by Regions: 2015 VS 2020 VS 2026
  • 2.2.2 Deep Learning Historic Market Share by Regions (2015-2020)
  • 2.2.3 Deep Learning Forecasted Market Size by Regions (2021-2026)
• 2.3 Industry Trends and Growth Strategy
  • 2.3.1 Market Top Trends
  • 2.3.2 Market Drivers
  • 2.3.3 Market Challenges
  • 2.3.4 Porter’s Five Forces Analysis
  • 2.3.5 Deep Learning Market Growth Strategy
  • 2.3.6 Primary Interviews with Key Deep Learning Players (Opinion Leaders)

3 Competition Landscape by Key Players

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

4 Market Size by Type (2015-2026)

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

5 Market Size by Application (2015-2026)

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

6 North America

• 6.1 North America Deep Learning Market Size (2015-2020)
• 6.2 Deep Learning Key Players in North America (2019-2020)
• 6.3 North America Deep Learning Market Size by Type (2015-2020)
• 6.4 North America Deep Learning Market Size by Application (2015-2020)

7 Europe

• 7.1 Europe Deep Learning Market Size (2015-2020)
• 7.2 Deep Learning Key Players in Europe (2019-2020)
• 7.3 Europe Deep Learning Market Size by Type (2015-2020)
• 7.4 Europe Deep Learning Market Size by Application (2015-2020)

8 China

• 8.1 China Deep Learning Market Size (2015-2020)
• 8.2 Deep Learning Key Players in China (2019-2020)
• 8.3 China Deep Learning Market Size by Type (2015-2020)
• 8.4 China Deep Learning Market Size by Application (2015-2020)

9 Japan

• 9.1 Japan Deep Learning Market Size (2015-2020)
• 9.2 Deep Learning Key Players in Japan (2019-2020)
• 9.3 Japan Deep Learning Market Size by Type (2015-2020)
• 9.4 Japan Deep Learning Market Size by Application (2015-2020)

10 Southeast Asia

• 10.1 Southeast Asia Deep Learning Market Size (2015-2020)
• 10.2 Deep Learning Key Players in Southeast Asia (2019-2020)
• 10.3 Southeast Asia Deep Learning Market Size by Type (2015-2020)
• 10.4 Southeast Asia Deep Learning Market Size by Application (2015-2020)

11 India

• 11.1 India Deep Learning Market Size (2015-2020)
• 11.2 Deep Learning Key Players in India (2019-2020)
• 11.3 India Deep Learning Market Size by Type (2015-2020)
• 11.4 India Deep Learning Market Size by Application (2015-2020)

12 Central & South America

• 12.1 Central & South America Deep Learning Market Size (2015-2020)
• 12.2 Deep Learning Key Players in Central & South America (2019-2020)
• 12.3 Central & South America Deep Learning Market Size by Type (2015-2020)
• 12.4 Central & South America Deep Learning Market Size by Application (2015-2020)

13 Key Players Profiles

• 13.1 Amazon Web Services (AWS)
  • 13.1.1 Amazon Web Services (AWS) Company Details
  • 13.1.2 Amazon Web Services (AWS) Business Overview
  • 13.1.3 Amazon Web Services (AWS) Deep Learning Introduction
  • 13.1.4 Amazon Web Services (AWS) Revenue in Deep Learning Business (2015-2020))
  • 13.1.5 Amazon Web Services (AWS) Recent Development
• 13.2 Google
  • 13.2.1 Google Company Details
  • 13.2.2 Google Business Overview
  • 13.2.3 Google Deep Learning Introduction
  • 13.2.4 Google Revenue in Deep Learning Business (2015-2020)
  • 13.2.5 Google Recent Development
• 13.3 IBM
  • 13.3.1 IBM Company Details
  • 13.3.2 IBM Business Overview
  • 13.3.3 IBM Deep Learning Introduction
  • 13.3.4 IBM Revenue in Deep Learning Business (2015-2020)
  • 13.3.5 IBM Recent Development
• 13.4 Intel
  • 13.4.1 Intel Company Details
  • 13.4.2 Intel Business Overview
  • 13.4.3 Intel Deep Learning Introduction
  • 13.4.4 Intel Revenue in Deep Learning Business (2015-2020)
  • 13.4.5 Intel Recent Development
• 13.5 Micron Technology
  • 13.5.1 Micron Technology Company Details
  • 13.5.2 Micron Technology Business Overview
  • 13.5.3 Micron Technology Deep Learning Introduction
  • 13.5.4 Micron Technology Revenue in Deep Learning Business (2015-2020)
  • 13.5.5 Micron Technology Recent Development
• 13.6 Microsoft
  • 13.6.1 Microsoft Company Details
  • 13.6.2 Microsoft Business Overview
  • 13.6.3 Microsoft Deep Learning Introduction
  • 13.6.4 Microsoft Revenue in Deep Learning Business (2015-2020)
  • 13.6.5 Microsoft Recent Development
• 13.7 Nvidia
  • 13.7.1 Nvidia Company Details
  • 13.7.2 Nvidia Business Overview
  • 13.7.3 Nvidia Deep Learning Introduction
  • 13.7.4 Nvidia Revenue in Deep Learning Business (2015-2020)
  • 13.7.5 Nvidia Recent Development
• 13.8 Qualcomm
  • 13.8.1 Qualcomm Company Details
  • 13.8.2 Qualcomm Business Overview
  • 13.8.3 Qualcomm Deep Learning Introduction
  • 13.8.4 Qualcomm Revenue in Deep Learning Business (2015-2020)
  • 13.8.5 Qualcomm Recent Development
• 13.9 Samsung
  • 13.9.1 Samsung Company Details
  • 13.9.2 Samsung Business Overview
  • 13.9.3 Samsung Deep Learning Introduction
  • 13.9.4 Samsung Revenue in Deep Learning Business (2015-2020)
  • 13.9.5 Samsung Recent Development
• 13.10 Sensory Inc.
  • 13.10.1 Sensory Inc. Company Details
  • 13.10.2 Sensory Inc. Business Overview
  • 13.10.3 Sensory Inc. Deep Learning Introduction
  • 13.10.4 Sensory Inc. Revenue in Deep Learning Business (2015-2020)
  • 13.10.5 Sensory Inc. Recent Development
• 13.11 Skymind
  • 10.11.1 Skymind Company Details
  • 10.11.2 Skymind Business Overview
  • 10.11.3 Skymind Deep Learning Introduction
  • 10.11.4 Skymind Revenue in Deep Learning Business (2015-2020)
  • 10.11.5 Skymind Recent Development
• 13.12 Xilinx
  • 10.12.1 Xilinx Company Details
  • 10.12.2 Xilinx Business Overview
  • 10.12.3 Xilinx Deep Learning Introduction
  • 10.12.4 Xilinx Revenue in Deep Learning Business (2015-2020)
  • 10.12.5 Xilinx Recent Development
• 13.13 AMD
  • 10.13.1 AMD Company Details
  • 10.13.2 AMD Business Overview
  • 10.13.3 AMD Deep Learning Introduction
  • 10.13.4 AMD Revenue in Deep Learning Business (2015-2020)
  • 10.13.5 AMD Recent Development
• 13.14 General Vision
  • 10.14.1 General Vision Company Details
  • 10.14.2 General Vision Business Overview
  • 10.14.3 General Vision Deep Learning Introduction
  • 10.14.4 General Vision Revenue in Deep Learning Business (2015-2020)
  • 10.14.5 General Vision Recent Development
• 13.15 Graphcore
  • 10.15.1 Graphcore Company Details
  • 10.15.2 Graphcore Business Overview
  • 10.15.3 Graphcore Deep Learning Introduction
  • 10.15.4 Graphcore Revenue in Deep Learning Business (2015-2020)
  • 10.15.5 Graphcore Recent Development
• 13.16 Mellanox Technologies
  • 10.16.1 Mellanox Technologies Company Details
  • 10.16.2 Mellanox Technologies Business Overview
  • 10.16.3 Mellanox Technologies Deep Learning Introduction
  • 10.16.4 Mellanox Technologies Revenue in Deep Learning Business (2015-2020)
  • 10.16.5 Mellanox Technologies Recent Development
• 13.17 Huawei Technologies
  • 10.17.1 Huawei Technologies Company Details
  • 10.17.2 Huawei Technologies Business Overview
  • 10.17.3 Huawei Technologies Deep Learning Introduction
  • 10.17.4 Huawei Technologies Revenue in Deep Learning Business (2015-2020)
  • 10.17.5 Huawei Technologies Recent Development
• 13.18 Fujitsu
  • 10.18.1 Fujitsu Company Details
  • 10.18.2 Fujitsu Business Overview
  • 10.18.3 Fujitsu Deep Learning Introduction
  • 10.18.4 Fujitsu Revenue in Deep Learning Business (2015-2020)
  • 10.18.5 Fujitsu Recent Development
• 13.19 Baidu
  • 10.19.1 Baidu Company Details
  • 10.19.2 Baidu Business Overview
  • 10.19.3 Baidu Deep Learning Introduction
  • 10.19.4 Baidu Revenue in Deep Learning Business (2015-2020)
  • 10.19.5 Baidu Recent Development
• 13.20 Mythic
  • 10.20.1 Mythic Company Details
  • 10.20.2 Mythic Business Overview
  • 10.20.3 Mythic Deep Learning Introduction
  • 10.20.4 Mythic Revenue in Deep Learning Business (2015-2020)
  • 10.20.5 Mythic Recent Development
• 13.21 Adapteva
  • 10.21.1 Adapteva Company Details
  • 10.21.2 Adapteva Business Overview
  • 10.21.3 Adapteva Deep Learning Introduction
  • 10.21.4 Adapteva Revenue in Deep Learning Business (2015-2020)
  • 10.21.5 Adapteva Recent Development
• 13.22 Koniku
  • 10.22.1 Koniku Company Details
  • 10.22.2 Koniku Business Overview
  • 10.22.3 Koniku Deep Learning Introduction
  • 10.22.4 Koniku Revenue in Deep Learning Business (2015-2020)
  • 10.22.5 Koniku Recent Development

14 Analyst's Viewpoints/Conclusions

15 Appendix

• 15.1 Research Methodology
  • 15.1.1 Methodology/Research Approach
  • 15.1.2 Data Source
• 15.2 Disclaimer