Global Deep Learning Neural Networks Market
Global Deep Learning Neural Networks Market

Deep Learning Neural Networks Comprehensive Study by Application (Image Recognition, Natural Language Processing, Speech Recognition, Data Mining), Component (Hardware, Software, Services), End User (Banking, Financial Services & Insurance (BFSI), IT & Telecommunication, Healthcare, Retail, Automotive, Manufacturing, Aerospace & Defence, Security, Others) Players and Region - Global Market Outlook to 2025

Deep Learning Neural Networks Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Mar 2020 Edition 180 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Industry Background:
The deep learning neural networks (DDNs) refers to the machine learning-based technology that is basically used for diagnosis- solving prediction, decision making, decision and problems based on a well-defined computational architecture and more. It helps to draw out a higher level of features from the raw input. The complex deep learning neural networks have multiple layers and each layer signifies the mathematical manipulation. The Deep Learning Neural Networks are used in various applications such as speech recognition, audio recognition, computer vision, and many others.This growth is primarily driven by Rapidly Increasing Digitization, Boosting the Global Deep Learning Neural Networks Market and Increased Demand of Cloud Computing for Businesses and Demand for Predictive Solutions and Image Recognition.

Major Players, such as ALPHABET INC. (United States), IBM (United States), MICRON TECHNOLOGIES, INC. (United States), Neural Technologies Limited (United Kingdom), NEURODIMENSION, INC. (United States), NVIDIA CORPORATION (United States), SKYMIND INC (United States), SAMSUNG (South Korea), Qualcomm Technologies, Inc. (United States), Intel Corporation (United States), Amazon Web Services, Inc. (United States) and Microsoft Corporation (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

In June 2019, Microsoft announced the new product launch in the Flight Simulator series. The new product is been teased briefly at Microsoft’s E3 keynote which is powered by Microsoft’s Azure. The 4K video will displayed with a more enhanced view on the device.

Market Drivers
  • Rapidly Increasing Digitization, Boosting the Global Deep Learning Neural Networks Market
  • Increased Demand of Cloud Computing for Businesses and Demand for Predictive Solutions and Image Recognition

Market Trend

Restraints
  • Increasing Complexity Due to Complex Algorithm Used in Technology

Opportunities
Cumulative Spending in Healthcare, Travel, Tourism, and Hospitality Industries and Increasing Awareness About the Deep Learning Neural Networks
Challenges
Lack of Flexibility and Multitasking

AdvanceMarketAnalytics follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization of the Report:
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Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
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Report Objectives / Segmentation Covered
By Application
  • Image Recognition
  • Natural Language Processing
  • Speech Recognition
  • Data Mining
By Component
  • Hardware
  • Software
  • Services

By End User
  • Banking
  • Financial Services & Insurance (BFSI)
  • IT & Telecommunication
  • Healthcare
  • Retail
  • Automotive
  • Manufacturing
  • Aerospace & Defence
  • Security
  • Others

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. Rapidly Increasing Digitization, Boosting the Global Deep Learning Neural Networks Market
      • 3.2.2. Increased Demand of Cloud Computing for Businesses and Demand for Predictive Solutions and Image Recognition
    • 3.3. Market Challenges
      • 3.3.1. Lack of Flexibility and Multitasking
  • 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 Neural Networks, by Application, Component, End User and Region (value and price ) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Deep Learning Neural Networks (Value)
      • 5.2.1. Global Deep Learning Neural Networks by: Application (Value)
        • 5.2.1.1. Image Recognition
        • 5.2.1.2. Natural Language Processing
        • 5.2.1.3. Speech Recognition
        • 5.2.1.4. Data Mining
      • 5.2.2. Global Deep Learning Neural Networks by: Component (Value)
        • 5.2.2.1. Hardware
        • 5.2.2.2. Software
        • 5.2.2.3. Services
      • 5.2.3. Global Deep Learning Neural Networks by: End User (Value)
        • 5.2.3.1. Banking
        • 5.2.3.2. Financial Services & Insurance (BFSI)
        • 5.2.3.3. IT & Telecommunication
        • 5.2.3.4. Healthcare
        • 5.2.3.5. Retail
        • 5.2.3.6. Automotive
        • 5.2.3.7. Manufacturing
        • 5.2.3.8. Aerospace & Defence
        • 5.2.3.9. Security
        • 5.2.3.10. Others
      • 5.2.4. Global Deep Learning Neural Networks Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Deep Learning Neural Networks (Price)
  • 6. Deep Learning Neural Networks: 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. ALPHABET INC. (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. IBM (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. MICRON TECHNOLOGIES, 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. Neural Technologies Limited (United Kingdom)
        • 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. NEURODIMENSION, INC. (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. NVIDIA CORPORATION (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. SKYMIND INC (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. SAMSUNG (South Korea)
        • 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. Qualcomm Technologies, Inc. (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. Intel 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. Amazon Web Services, 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. Microsoft Corporation (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
  • 7. Global Deep Learning Neural Networks Sale, by Application, Component, End User and Region (value and price ) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Deep Learning Neural Networks (Value)
      • 7.2.1. Global Deep Learning Neural Networks by: Application (Value)
        • 7.2.1.1. Image Recognition
        • 7.2.1.2. Natural Language Processing
        • 7.2.1.3. Speech Recognition
        • 7.2.1.4. Data Mining
      • 7.2.2. Global Deep Learning Neural Networks by: Component (Value)
        • 7.2.2.1. Hardware
        • 7.2.2.2. Software
        • 7.2.2.3. Services
      • 7.2.3. Global Deep Learning Neural Networks by: End User (Value)
        • 7.2.3.1. Banking
        • 7.2.3.2. Financial Services & Insurance (BFSI)
        • 7.2.3.3. IT & Telecommunication
        • 7.2.3.4. Healthcare
        • 7.2.3.5. Retail
        • 7.2.3.6. Automotive
        • 7.2.3.7. Manufacturing
        • 7.2.3.8. Aerospace & Defence
        • 7.2.3.9. Security
        • 7.2.3.10. Others
      • 7.2.4. Global Deep Learning Neural Networks Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Deep Learning Neural Networks (Price)
  • 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 Neural Networks: by Application(USD Million)
  • Table 2. Deep Learning Neural Networks Image Recognition , by Region USD Million (2014-2019)
  • Table 3. Deep Learning Neural Networks Natural Language Processing , by Region USD Million (2014-2019)
  • Table 4. Deep Learning Neural Networks Speech Recognition , by Region USD Million (2014-2019)
  • Table 5. Deep Learning Neural Networks Data Mining , by Region USD Million (2014-2019)
  • Table 6. Deep Learning Neural Networks: by Component(USD Million)
  • Table 7. Deep Learning Neural Networks Hardware , by Region USD Million (2014-2019)
  • Table 8. Deep Learning Neural Networks Software , by Region USD Million (2014-2019)
  • Table 9. Deep Learning Neural Networks Services , by Region USD Million (2014-2019)
  • Table 10. Deep Learning Neural Networks: by End User(USD Million)
  • Table 11. Deep Learning Neural Networks Banking , by Region USD Million (2014-2019)
  • Table 12. Deep Learning Neural Networks Financial Services & Insurance (BFSI) , by Region USD Million (2014-2019)
  • Table 13. Deep Learning Neural Networks IT & Telecommunication , by Region USD Million (2014-2019)
  • Table 14. Deep Learning Neural Networks Healthcare , by Region USD Million (2014-2019)
  • Table 15. Deep Learning Neural Networks Retail , by Region USD Million (2014-2019)
  • Table 16. Deep Learning Neural Networks Automotive , by Region USD Million (2014-2019)
  • Table 17. Deep Learning Neural Networks Manufacturing , by Region USD Million (2014-2019)
  • Table 18. Deep Learning Neural Networks Aerospace & Defence , by Region USD Million (2014-2019)
  • Table 19. Deep Learning Neural Networks Security , by Region USD Million (2014-2019)
  • Table 20. Deep Learning Neural Networks Others , by Region USD Million (2014-2019)
  • Table 21. South America Deep Learning Neural Networks, by Country USD Million (2014-2019)
  • Table 22. South America Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 23. South America Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 24. South America Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 25. Brazil Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 26. Brazil Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 27. Brazil Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 28. Argentina Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 29. Argentina Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 30. Argentina Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 31. Rest of South America Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 32. Rest of South America Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 33. Rest of South America Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 34. Asia Pacific Deep Learning Neural Networks, by Country USD Million (2014-2019)
  • Table 35. Asia Pacific Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 36. Asia Pacific Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 37. Asia Pacific Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 38. China Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 39. China Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 40. China Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 41. Japan Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 42. Japan Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 43. Japan Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 44. India Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 45. India Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 46. India Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 47. South Korea Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 48. South Korea Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 49. South Korea Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 50. Taiwan Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 51. Taiwan Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 52. Taiwan Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 53. Australia Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 54. Australia Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 55. Australia Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 56. Rest of Asia-Pacific Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 57. Rest of Asia-Pacific Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 58. Rest of Asia-Pacific Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 59. Europe Deep Learning Neural Networks, by Country USD Million (2014-2019)
  • Table 60. Europe Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 61. Europe Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 62. Europe Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 63. Germany Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 64. Germany Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 65. Germany Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 66. France Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 67. France Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 68. France Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 69. Italy Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 70. Italy Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 71. Italy Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 72. United Kingdom Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 73. United Kingdom Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 74. United Kingdom Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 75. Netherlands Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 76. Netherlands Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 77. Netherlands Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 78. Rest of Europe Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 79. Rest of Europe Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 80. Rest of Europe Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 81. MEA Deep Learning Neural Networks, by Country USD Million (2014-2019)
  • Table 82. MEA Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 83. MEA Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 84. MEA Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 85. Middle East Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 86. Middle East Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 87. Middle East Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 88. Africa Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 89. Africa Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 90. Africa Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 91. North America Deep Learning Neural Networks, by Country USD Million (2014-2019)
  • Table 92. North America Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 93. North America Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 94. North America Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 95. United States Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 96. United States Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 97. United States Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 98. Canada Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 99. Canada Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 100. Canada Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 101. Mexico Deep Learning Neural Networks, by Application USD Million (2014-2019)
  • Table 102. Mexico Deep Learning Neural Networks, by Component USD Million (2014-2019)
  • Table 103. Mexico Deep Learning Neural Networks, by End User USD Million (2014-2019)
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Deep Learning Neural Networks: by Application(USD Million)
  • Table 117. Deep Learning Neural Networks Image Recognition , by Region USD Million (2020-2025)
  • Table 118. Deep Learning Neural Networks Natural Language Processing , by Region USD Million (2020-2025)
  • Table 119. Deep Learning Neural Networks Speech Recognition , by Region USD Million (2020-2025)
  • Table 120. Deep Learning Neural Networks Data Mining , by Region USD Million (2020-2025)
  • Table 121. Deep Learning Neural Networks: by Component(USD Million)
  • Table 122. Deep Learning Neural Networks Hardware , by Region USD Million (2020-2025)
  • Table 123. Deep Learning Neural Networks Software , by Region USD Million (2020-2025)
  • Table 124. Deep Learning Neural Networks Services , by Region USD Million (2020-2025)
  • Table 125. Deep Learning Neural Networks: by End User(USD Million)
  • Table 126. Deep Learning Neural Networks Banking , by Region USD Million (2020-2025)
  • Table 127. Deep Learning Neural Networks Financial Services & Insurance (BFSI) , by Region USD Million (2020-2025)
  • Table 128. Deep Learning Neural Networks IT & Telecommunication , by Region USD Million (2020-2025)
  • Table 129. Deep Learning Neural Networks Healthcare , by Region USD Million (2020-2025)
  • Table 130. Deep Learning Neural Networks Retail , by Region USD Million (2020-2025)
  • Table 131. Deep Learning Neural Networks Automotive , by Region USD Million (2020-2025)
  • Table 132. Deep Learning Neural Networks Manufacturing , by Region USD Million (2020-2025)
  • Table 133. Deep Learning Neural Networks Aerospace & Defence , by Region USD Million (2020-2025)
  • Table 134. Deep Learning Neural Networks Security , by Region USD Million (2020-2025)
  • Table 135. Deep Learning Neural Networks Others , by Region USD Million (2020-2025)
  • Table 136. South America Deep Learning Neural Networks, by Country USD Million (2020-2025)
  • Table 137. South America Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 138. South America Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 139. South America Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 140. Brazil Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 141. Brazil Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 142. Brazil Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 143. Argentina Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 144. Argentina Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 145. Argentina Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 146. Rest of South America Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 147. Rest of South America Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 148. Rest of South America Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 149. Asia Pacific Deep Learning Neural Networks, by Country USD Million (2020-2025)
  • Table 150. Asia Pacific Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 151. Asia Pacific Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 152. Asia Pacific Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 153. China Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 154. China Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 155. China Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 156. Japan Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 157. Japan Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 158. Japan Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 159. India Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 160. India Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 161. India Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 162. South Korea Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 163. South Korea Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 164. South Korea Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 165. Taiwan Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 166. Taiwan Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 167. Taiwan Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 168. Australia Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 169. Australia Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 170. Australia Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 171. Rest of Asia-Pacific Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 172. Rest of Asia-Pacific Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 173. Rest of Asia-Pacific Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 174. Europe Deep Learning Neural Networks, by Country USD Million (2020-2025)
  • Table 175. Europe Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 176. Europe Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 177. Europe Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 178. Germany Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 179. Germany Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 180. Germany Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 181. France Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 182. France Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 183. France Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 184. Italy Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 185. Italy Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 186. Italy Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 187. United Kingdom Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 188. United Kingdom Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 189. United Kingdom Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 190. Netherlands Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 191. Netherlands Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 192. Netherlands Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 193. Rest of Europe Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 194. Rest of Europe Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 195. Rest of Europe Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 196. MEA Deep Learning Neural Networks, by Country USD Million (2020-2025)
  • Table 197. MEA Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 198. MEA Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 199. MEA Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 200. Middle East Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 201. Middle East Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 202. Middle East Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 203. Africa Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 204. Africa Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 205. Africa Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 206. North America Deep Learning Neural Networks, by Country USD Million (2020-2025)
  • Table 207. North America Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 208. North America Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 209. North America Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 210. United States Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 211. United States Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 212. United States Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 213. Canada Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 214. Canada Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 215. Canada Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 216. Mexico Deep Learning Neural Networks, by Application USD Million (2020-2025)
  • Table 217. Mexico Deep Learning Neural Networks, by Component USD Million (2020-2025)
  • Table 218. Mexico Deep Learning Neural Networks, by End User USD Million (2020-2025)
  • Table 219. Research Programs/Design for This Report
  • Table 220. Key Data Information from Secondary Sources
  • Table 221. 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 Neural Networks: by Application USD Million (2014-2019)
  • Figure 5. Global Deep Learning Neural Networks: by Component USD Million (2014-2019)
  • Figure 6. Global Deep Learning Neural Networks: by End User USD Million (2014-2019)
  • Figure 7. South America Deep Learning Neural Networks Share (%), by Country
  • Figure 8. Asia Pacific Deep Learning Neural Networks Share (%), by Country
  • Figure 9. Europe Deep Learning Neural Networks Share (%), by Country
  • Figure 10. MEA Deep Learning Neural Networks Share (%), by Country
  • Figure 11. North America Deep Learning Neural Networks Share (%), by Country
  • Figure 12. Global Deep Learning Neural Networks share by Players 2019 (%)
  • Figure 13. Global Deep Learning Neural Networks share by Players (Top 3) 2019(%)
  • Figure 14. Global Deep Learning Neural Networks share by Players (Top 5) 2019(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. ALPHABET INC. (United States) Revenue, Net Income and Gross profit
  • Figure 17. ALPHABET INC. (United States) Revenue: by Geography 2019
  • Figure 18. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 19. IBM (United States) Revenue: by Geography 2019
  • Figure 20. MICRON TECHNOLOGIES, INC. (United States) Revenue, Net Income and Gross profit
  • Figure 21. MICRON TECHNOLOGIES, INC. (United States) Revenue: by Geography 2019
  • Figure 22. Neural Technologies Limited (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 23. Neural Technologies Limited (United Kingdom) Revenue: by Geography 2019
  • Figure 24. NEURODIMENSION, INC. (United States) Revenue, Net Income and Gross profit
  • Figure 25. NEURODIMENSION, INC. (United States) Revenue: by Geography 2019
  • Figure 26. NVIDIA CORPORATION (United States) Revenue, Net Income and Gross profit
  • Figure 27. NVIDIA CORPORATION (United States) Revenue: by Geography 2019
  • Figure 28. SKYMIND INC (United States) Revenue, Net Income and Gross profit
  • Figure 29. SKYMIND INC (United States) Revenue: by Geography 2019
  • Figure 30. SAMSUNG (South Korea) Revenue, Net Income and Gross profit
  • Figure 31. SAMSUNG (South Korea) Revenue: by Geography 2019
  • Figure 32. Qualcomm Technologies, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. Qualcomm Technologies, Inc. (United States) Revenue: by Geography 2019
  • Figure 34. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 35. Intel Corporation (United States) Revenue: by Geography 2019
  • Figure 36. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 37. Amazon Web Services, Inc. (United States) Revenue: by Geography 2019
  • Figure 38. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 39. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 40. Global Deep Learning Neural Networks: by Application USD Million (2020-2025)
  • Figure 41. Global Deep Learning Neural Networks: by Component USD Million (2020-2025)
  • Figure 42. Global Deep Learning Neural Networks: by End User USD Million (2020-2025)
  • Figure 43. South America Deep Learning Neural Networks Share (%), by Country
  • Figure 44. Asia Pacific Deep Learning Neural Networks Share (%), by Country
  • Figure 45. Europe Deep Learning Neural Networks Share (%), by Country
  • Figure 46. MEA Deep Learning Neural Networks Share (%), by Country
  • Figure 47. North America Deep Learning Neural Networks Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • ALPHABET INC. (United States)
  • IBM (United States)
  • MICRON TECHNOLOGIES, INC. (United States)
  • Neural Technologies Limited (United Kingdom)
  • NEURODIMENSION, INC. (United States)
  • NVIDIA CORPORATION (United States)
  • SKYMIND INC (United States)
  • SAMSUNG (South Korea)
  • Qualcomm Technologies, Inc. (United States)
  • Intel Corporation (United States)
  • Amazon Web Services, Inc. (United States)
  • Microsoft Corporation (United States)
Additional players considered in the study are as follows:
Sensory Inc. (United States) , Xilinx Inc. (United States)
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