Global Deep Learning System Software
Global Deep Learning System Software

Deep Learning System Software Comprehensive Study by Type (Cloud-based, On-premise), Application (Image Recognition, Signal Recognition, Data Mining, Other), End-User Industry (Retail, Aerospace and Defense, Automotive, Industrial, Medical, Others), Subscription (Monthly, Annual) Players and Region - Global Market Outlook to 2025

Deep Learning System Software Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Aug 2020 Edition 206 Pages 211 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Deep Learning System Software Market Overview:
Deep learning system software is primarily used for data extraction and transformation purpose. Deep learning is a part of Artificial Intelligence (AI) technology and uses deep learning algorithms to progressively extract higher-level features from the raw data. As per a survey, the global AI market is expected to reach USD 60 billion by 2025. The increasing research and development activities in deep learning will create new opportunities for market growth in the upcoming years. Some of the key players profiled in the study are Intel Corporation (United States), Hewlett Packard Enterprise Company (United States), Google Inc. (United States), Microsoft Corporation (United States), IBM Corporation (United States), TensorFlow (United States), Amazon (United States), LISA lab (India), Facebook (United States), Nvidia Corporation (United States), General Vision, Inc. (United States), Skymind (United States) and Sensory (United States).

On the basis of geography, the market of Deep Learning System Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End-User Industry, the sub-segment i.e. Retail will boost the Deep Learning System Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Subscription, the sub-segment i.e. Monthly will boost the Deep Learning System Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing Adoption of Cloud-Based Technology
  • Rapid Increase in the Amount of Data Being Generated in End-Use Industries

Market Trend
  • Deep Learning Usage in Big Data Analytics

Restraints
  • Scalability of Deep Learning Models

Opportunities
  • Increasing Research and Development Activities in Deep Learning
  • Growing AI Adoption in Customer-Centric Services

Challenges
  • Lack of Technical Expertise


In December 2019, Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately USD 2 billion. This merger strengthened Intelís artificial intelligence (AI) portfolio.


Target Audience:
New Entrants/Investors, Analysts and Strategic Business Planners, Deep Learning System Software Providers, Cloud Service Providers, Government Regulatory and Research Organizations and End Use Industry

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Deep Learning System Software market on the basis of product [Cloud-based and On-premise] , application [Image Recognition, Signal Recognition, Data Mining and Other], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the Deep Learning System Software market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico)
• To strategically profile the key players and analyzing their market shares and core competencies in the Deep Learning System Software industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are .
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Deep Learning System Software market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Dow Jones (Factiva), along with primary respondents. The complete methodology includes the study of the annual and financial reports of the key market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) related to the market.
Report Objectives / Segmentation Covered
By Type
  • Cloud-based
  • On-premise
By Application
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Other
By End-User Industry
  • Retail
  • Aerospace and Defense
  • Automotive
  • Industrial
  • Medical
  • Others

By Subscription
  • Monthly
  • Annual

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing Adoption of Cloud-Based Technology
      • 3.2.2. Rapid Increase in the Amount of Data Being Generated in End-Use Industries
    • 3.3. Market Challenges
      • 3.3.1. Lack of Technical Expertise
    • 3.4. Market Trends
      • 3.4.1. Deep Learning Usage in Big Data Analytics
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Deep Learning System Software, by Type, Application, End-User Industry, Subscription and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Deep Learning System Software (Value)
      • 5.2.1. Global Deep Learning System Software by: Type (Value)
        • 5.2.1.1. Cloud-based
        • 5.2.1.2. On-premise
      • 5.2.2. Global Deep Learning System Software by: Application (Value)
        • 5.2.2.1. Image Recognition
        • 5.2.2.2. Signal Recognition
        • 5.2.2.3. Data Mining
        • 5.2.2.4. Other
      • 5.2.3. Global Deep Learning System Software by: End-User Industry (Value)
        • 5.2.3.1. Retail
        • 5.2.3.2. Aerospace and Defense
        • 5.2.3.3. Automotive
        • 5.2.3.4. Industrial
        • 5.2.3.5. Medical
        • 5.2.3.6. Others
      • 5.2.4. Global Deep Learning System Software by: Subscription (Value)
        • 5.2.4.1. Monthly
        • 5.2.4.2. Annual
      • 5.2.5. Global Deep Learning System Software Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Deep Learning System Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Intel Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Hewlett Packard Enterprise Company (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Google Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. IBM Corporation (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. TensorFlow (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Amazon (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. LISA lab (India)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Facebook (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Nvidia Corporation (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. General Vision, Inc. (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Skymind (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Sensory (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Deep Learning System Software Sale, by Type, Application, End-User Industry, Subscription and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Deep Learning System Software (Value)
      • 7.2.1. Global Deep Learning System Software by: Type (Value)
        • 7.2.1.1. Cloud-based
        • 7.2.1.2. On-premise
      • 7.2.2. Global Deep Learning System Software by: Application (Value)
        • 7.2.2.1. Image Recognition
        • 7.2.2.2. Signal Recognition
        • 7.2.2.3. Data Mining
        • 7.2.2.4. Other
      • 7.2.3. Global Deep Learning System Software by: End-User Industry (Value)
        • 7.2.3.1. Retail
        • 7.2.3.2. Aerospace and Defense
        • 7.2.3.3. Automotive
        • 7.2.3.4. Industrial
        • 7.2.3.5. Medical
        • 7.2.3.6. Others
      • 7.2.4. Global Deep Learning System Software by: Subscription (Value)
        • 7.2.4.1. Monthly
        • 7.2.4.2. Annual
      • 7.2.5. Global Deep Learning System Software Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Deep Learning System Software: by Type(USD Million)
  • Table 2. Deep Learning System Software Cloud-based , by Region USD Million (2014-2019)
  • Table 3. Deep Learning System Software On-premise , by Region USD Million (2014-2019)
  • Table 4. Deep Learning System Software: by Application(USD Million)
  • Table 5. Deep Learning System Software Image Recognition , by Region USD Million (2014-2019)
  • Table 6. Deep Learning System Software Signal Recognition , by Region USD Million (2014-2019)
  • Table 7. Deep Learning System Software Data Mining , by Region USD Million (2014-2019)
  • Table 8. Deep Learning System Software Other , by Region USD Million (2014-2019)
  • Table 9. Deep Learning System Software: by End-User Industry(USD Million)
  • Table 10. Deep Learning System Software Retail , by Region USD Million (2014-2019)
  • Table 11. Deep Learning System Software Aerospace and Defense , by Region USD Million (2014-2019)
  • Table 12. Deep Learning System Software Automotive , by Region USD Million (2014-2019)
  • Table 13. Deep Learning System Software Industrial , by Region USD Million (2014-2019)
  • Table 14. Deep Learning System Software Medical , by Region USD Million (2014-2019)
  • Table 15. Deep Learning System Software Others , by Region USD Million (2014-2019)
  • Table 16. Deep Learning System Software: by Subscription(USD Million)
  • Table 17. Deep Learning System Software Monthly , by Region USD Million (2014-2019)
  • Table 18. Deep Learning System Software Annual , by Region USD Million (2014-2019)
  • Table 19. South America Deep Learning System Software, by Country USD Million (2014-2019)
  • Table 20. South America Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 21. South America Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 22. South America Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 23. South America Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 24. Brazil Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 25. Brazil Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 26. Brazil Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 27. Brazil Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 28. Argentina Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 29. Argentina Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 30. Argentina Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 31. Argentina Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 32. Rest of South America Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 33. Rest of South America Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 34. Rest of South America Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 35. Rest of South America Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 36. Asia Pacific Deep Learning System Software, by Country USD Million (2014-2019)
  • Table 37. Asia Pacific Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 38. Asia Pacific Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 39. Asia Pacific Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 40. Asia Pacific Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 41. China Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 42. China Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 43. China Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 44. China Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 45. Japan Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 46. Japan Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 47. Japan Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 48. Japan Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 49. India Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 50. India Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 51. India Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 52. India Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 53. South Korea Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 54. South Korea Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 55. South Korea Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 56. South Korea Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 57. Taiwan Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 58. Taiwan Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 59. Taiwan Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 60. Taiwan Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 61. Australia Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 62. Australia Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 63. Australia Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 64. Australia Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 65. Rest of Asia-Pacific Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 66. Rest of Asia-Pacific Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 67. Rest of Asia-Pacific Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 68. Rest of Asia-Pacific Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 69. Europe Deep Learning System Software, by Country USD Million (2014-2019)
  • Table 70. Europe Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 71. Europe Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 72. Europe Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 73. Europe Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 74. Germany Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 75. Germany Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 76. Germany Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 77. Germany Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 78. France Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 79. France Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 80. France Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 81. France Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 82. Italy Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 83. Italy Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 84. Italy Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 85. Italy Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 86. United Kingdom Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 87. United Kingdom Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 88. United Kingdom Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 89. United Kingdom Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 90. Netherlands Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 91. Netherlands Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 92. Netherlands Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 93. Netherlands Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 94. Rest of Europe Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 95. Rest of Europe Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 96. Rest of Europe Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 97. Rest of Europe Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 98. MEA Deep Learning System Software, by Country USD Million (2014-2019)
  • Table 99. MEA Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 100. MEA Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 101. MEA Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 102. MEA Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 103. Middle East Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 104. Middle East Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 105. Middle East Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 106. Middle East Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 107. Africa Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 108. Africa Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 109. Africa Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 110. Africa Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 111. North America Deep Learning System Software, by Country USD Million (2014-2019)
  • Table 112. North America Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 113. North America Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 114. North America Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 115. North America Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 116. United States Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 117. United States Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 118. United States Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 119. United States Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 120. Canada Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 121. Canada Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 122. Canada Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 123. Canada Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 124. Mexico Deep Learning System Software, by Type USD Million (2014-2019)
  • Table 125. Mexico Deep Learning System Software, by Application USD Million (2014-2019)
  • Table 126. Mexico Deep Learning System Software, by End-User Industry USD Million (2014-2019)
  • Table 127. Mexico Deep Learning System Software, by Subscription USD Million (2014-2019)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Deep Learning System Software: by Type(USD Million)
  • Table 142. Deep Learning System Software Cloud-based , by Region USD Million (2020-2025)
  • Table 143. Deep Learning System Software On-premise , by Region USD Million (2020-2025)
  • Table 144. Deep Learning System Software: by Application(USD Million)
  • Table 145. Deep Learning System Software Image Recognition , by Region USD Million (2020-2025)
  • Table 146. Deep Learning System Software Signal Recognition , by Region USD Million (2020-2025)
  • Table 147. Deep Learning System Software Data Mining , by Region USD Million (2020-2025)
  • Table 148. Deep Learning System Software Other , by Region USD Million (2020-2025)
  • Table 149. Deep Learning System Software: by End-User Industry(USD Million)
  • Table 150. Deep Learning System Software Retail , by Region USD Million (2020-2025)
  • Table 151. Deep Learning System Software Aerospace and Defense , by Region USD Million (2020-2025)
  • Table 152. Deep Learning System Software Automotive , by Region USD Million (2020-2025)
  • Table 153. Deep Learning System Software Industrial , by Region USD Million (2020-2025)
  • Table 154. Deep Learning System Software Medical , by Region USD Million (2020-2025)
  • Table 155. Deep Learning System Software Others , by Region USD Million (2020-2025)
  • Table 156. Deep Learning System Software: by Subscription(USD Million)
  • Table 157. Deep Learning System Software Monthly , by Region USD Million (2020-2025)
  • Table 158. Deep Learning System Software Annual , by Region USD Million (2020-2025)
  • Table 159. South America Deep Learning System Software, by Country USD Million (2020-2025)
  • Table 160. South America Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 161. South America Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 162. South America Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 163. South America Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 164. Brazil Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 165. Brazil Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 166. Brazil Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 167. Brazil Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 168. Argentina Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 169. Argentina Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 170. Argentina Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 171. Argentina Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 172. Rest of South America Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 173. Rest of South America Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 174. Rest of South America Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 175. Rest of South America Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 176. Asia Pacific Deep Learning System Software, by Country USD Million (2020-2025)
  • Table 177. Asia Pacific Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 178. Asia Pacific Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 179. Asia Pacific Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 180. Asia Pacific Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 181. China Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 182. China Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 183. China Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 184. China Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 185. Japan Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 186. Japan Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 187. Japan Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 188. Japan Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 189. India Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 190. India Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 191. India Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 192. India Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 193. South Korea Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 194. South Korea Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 195. South Korea Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 196. South Korea Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 197. Taiwan Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 198. Taiwan Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 199. Taiwan Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 200. Taiwan Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 201. Australia Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 202. Australia Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 203. Australia Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 204. Australia Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 205. Rest of Asia-Pacific Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 206. Rest of Asia-Pacific Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 207. Rest of Asia-Pacific Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 208. Rest of Asia-Pacific Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 209. Europe Deep Learning System Software, by Country USD Million (2020-2025)
  • Table 210. Europe Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 211. Europe Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 212. Europe Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 213. Europe Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 214. Germany Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 215. Germany Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 216. Germany Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 217. Germany Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 218. France Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 219. France Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 220. France Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 221. France Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 222. Italy Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 223. Italy Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 224. Italy Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 225. Italy Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 226. United Kingdom Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 227. United Kingdom Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 228. United Kingdom Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 229. United Kingdom Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 230. Netherlands Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 231. Netherlands Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 232. Netherlands Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 233. Netherlands Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 234. Rest of Europe Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 235. Rest of Europe Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 236. Rest of Europe Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 237. Rest of Europe Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 238. MEA Deep Learning System Software, by Country USD Million (2020-2025)
  • Table 239. MEA Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 240. MEA Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 241. MEA Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 242. MEA Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 243. Middle East Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 244. Middle East Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 245. Middle East Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 246. Middle East Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 247. Africa Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 248. Africa Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 249. Africa Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 250. Africa Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 251. North America Deep Learning System Software, by Country USD Million (2020-2025)
  • Table 252. North America Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 253. North America Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 254. North America Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 255. North America Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 256. United States Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 257. United States Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 258. United States Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 259. United States Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 260. Canada Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 261. Canada Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 262. Canada Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 263. Canada Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 264. Mexico Deep Learning System Software, by Type USD Million (2020-2025)
  • Table 265. Mexico Deep Learning System Software, by Application USD Million (2020-2025)
  • Table 266. Mexico Deep Learning System Software, by End-User Industry USD Million (2020-2025)
  • Table 267. Mexico Deep Learning System Software, by Subscription USD Million (2020-2025)
  • Table 268. Research Programs/Design for This Report
  • Table 269. Key Data Information from Secondary Sources
  • Table 270. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Deep Learning System Software: by Type USD Million (2014-2019)
  • Figure 5. Global Deep Learning System Software: by Application USD Million (2014-2019)
  • Figure 6. Global Deep Learning System Software: by End-User Industry USD Million (2014-2019)
  • Figure 7. Global Deep Learning System Software: by Subscription USD Million (2014-2019)
  • Figure 8. South America Deep Learning System Software Share (%), by Country
  • Figure 9. Asia Pacific Deep Learning System Software Share (%), by Country
  • Figure 10. Europe Deep Learning System Software Share (%), by Country
  • Figure 11. MEA Deep Learning System Software Share (%), by Country
  • Figure 12. North America Deep Learning System Software Share (%), by Country
  • Figure 13. Global Deep Learning System Software share by Players 2019 (%)
  • Figure 14. Global Deep Learning System Software share by Players (Top 3) 2019(%)
  • Figure 15. Global Deep Learning System Software share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. Intel Corporation (United States) Revenue: by Geography 2019
  • Figure 19. Hewlett Packard Enterprise Company (United States) Revenue, Net Income and Gross profit
  • Figure 20. Hewlett Packard Enterprise Company (United States) Revenue: by Geography 2019
  • Figure 21. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 22. Google Inc. (United States) Revenue: by Geography 2019
  • Figure 23. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 25. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. IBM Corporation (United States) Revenue: by Geography 2019
  • Figure 27. TensorFlow (United States) Revenue, Net Income and Gross profit
  • Figure 28. TensorFlow (United States) Revenue: by Geography 2019
  • Figure 29. Amazon (United States) Revenue, Net Income and Gross profit
  • Figure 30. Amazon (United States) Revenue: by Geography 2019
  • Figure 31. LISA lab (India) Revenue, Net Income and Gross profit
  • Figure 32. LISA lab (India) Revenue: by Geography 2019
  • Figure 33. Facebook (United States) Revenue, Net Income and Gross profit
  • Figure 34. Facebook (United States) Revenue: by Geography 2019
  • Figure 35. Nvidia Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 36. Nvidia Corporation (United States) Revenue: by Geography 2019
  • Figure 37. General Vision, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 38. General Vision, Inc. (United States) Revenue: by Geography 2019
  • Figure 39. Skymind (United States) Revenue, Net Income and Gross profit
  • Figure 40. Skymind (United States) Revenue: by Geography 2019
  • Figure 41. Sensory (United States) Revenue, Net Income and Gross profit
  • Figure 42. Sensory (United States) Revenue: by Geography 2019
  • Figure 43. Global Deep Learning System Software: by Type USD Million (2020-2025)
  • Figure 44. Global Deep Learning System Software: by Application USD Million (2020-2025)
  • Figure 45. Global Deep Learning System Software: by End-User Industry USD Million (2020-2025)
  • Figure 46. Global Deep Learning System Software: by Subscription USD Million (2020-2025)
  • Figure 47. South America Deep Learning System Software Share (%), by Country
  • Figure 48. Asia Pacific Deep Learning System Software Share (%), by Country
  • Figure 49. Europe Deep Learning System Software Share (%), by Country
  • Figure 50. MEA Deep Learning System Software Share (%), by Country
  • Figure 51. North America Deep Learning System Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Intel Corporation (United States)
  • Hewlett Packard Enterprise Company (United States)
  • Google Inc. (United States)
  • Microsoft Corporation (United States)
  • IBM Corporation (United States)
  • TensorFlow (United States)
  • Amazon (United States)
  • LISA lab (India)
  • Facebook (United States)
  • Nvidia Corporation (United States)
  • General Vision, Inc. (United States)
  • Skymind (United States)
  • Sensory (United States)
Select License Type
Sample Report Enquiry Before Buy Request Discount

Speak with Analyst

Want to find out more about this report?

Get Free Consultation