Global Artificial Neural Network Market
Global Artificial Neural Network Market

Artificial Neural Network Comprehensive Study by Application (Image Recognition, Signal Recognition, Data Mining, Others), Deployment mode (On-premises, Cloud), Industry Vertical (Banking, Financial Services, and Insurance (BFSI), Retail and eCommerce, Telecommunication and Information Technology (IT), Healthcare and Life Sciences, Manufacturing, Government and Defense, Transportation and Logistics, Others), Component (Solutions, Platform/API, Services) Players and Region - Global Market Outlook to 2025

Artificial Neural Network Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Jun 2020 Edition 229 Pages 213 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study

Artificial neural networks are the computing systems which is vaguely inspired by the biological neural networks that constitute animal brains. These systems learn to perform tasks by considering examples, generally without being programmed with task-specific rules. For instance, in image recognition, they might learn to identify images that contain cats by analysing example images that have been manually labelled as "cat" or "no cat" and using the results to identify cats in other images. Moreover, the artificial neural networks is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain.

The market study is being classified, by Application (Image Recognition, Signal Recognition, Data Mining and Others) and major geographies with country level break-up.

Google (United States), IBM (United States), Oracle (United States), Microsoft (United States), Intel (United States), Qualcomm (United States), Alyuda (United States), Ward Systems (United States), GMDH, LLC (United States) and Starmind (Switzerland) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are NeuralWare (United States), Neurala (United States) and Clarifai (United States).

The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Artificial Neural Network market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Artificial Neural Network market by Type, Application and Region.

On the basis of geography, the market of Artificial Neural Network 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing Usage of Emerging Technologies to Detect Nonlinear Relationships
  • Rising Demand of Active Data Mining

Market Trend
  • Technological Advancements is Boosting the Market

Restraints
  • Difficult Tracking of Outcome of in Process Stages

Opportunities
  • Investments by Public and Private Sectors for Enhancement of Business Solutions
  • Increasing Demand to Detect Complex Nonlinear Relationships Between Variables and Recognise Patterns in Big Data

Challenges
  • Extrapolation Issues in Ann Being a Drawback


Market Leaders and their expansionary development strategies
On January 2020, Google has acquired Appsheet which is the intelligent no-code platform for business apps.
In August 2019, IBM has announced the first release of Python SDK and Node.js SDK for interacting with IBMís Cloud Security Advisor service findings Application Program Interface (API) to accelerate the customersí platform integration with the service


Key Target Audience
Software developers, Government associations, Research organisations, software vendors and Others

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Application
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Others
By Deployment mode
  • On-premises
  • Cloud

By Industry Vertical
  • Banking, Financial Services, and Insurance (BFSI)
  • Retail and eCommerce
  • Telecommunication and Information Technology (IT)
  • Healthcare and Life Sciences
  • Manufacturing
  • Government and Defense
  • Transportation and Logistics
  • Others

By Component
  • Solutions
  • Platform/API
  • Services

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 Usage of Emerging Technologies to Detect Nonlinear Relationships
      • 3.2.2. Rising Demand of Active Data Mining
    • 3.3. Market Challenges
      • 3.3.1. Extrapolation Issues in Ann Being a Drawback
    • 3.4. Market Trends
      • 3.4.1. Technological Advancements is Boosting the Market
  • 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 Artificial Neural Network, by Application, Deployment mode, Industry Vertical, Component and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Artificial Neural Network (Value)
      • 5.2.1. Global Artificial Neural Network by: Application (Value)
        • 5.2.1.1. Image Recognition
        • 5.2.1.2. Signal Recognition
        • 5.2.1.3. Data Mining
        • 5.2.1.4. Others
      • 5.2.2. Global Artificial Neural Network by: Deployment mode (Value)
        • 5.2.2.1. On-premises
        • 5.2.2.2. Cloud
      • 5.2.3. Global Artificial Neural Network by: Industry Vertical (Value)
        • 5.2.3.1. Banking, Financial Services, and Insurance (BFSI)
        • 5.2.3.2. Retail and eCommerce
        • 5.2.3.3. Telecommunication and Information Technology (IT)
        • 5.2.3.4. Healthcare and Life Sciences
        • 5.2.3.5. Manufacturing
        • 5.2.3.6. Government and Defense
        • 5.2.3.7. Transportation and Logistics
        • 5.2.3.8. Others
      • 5.2.4. Global Artificial Neural Network by: Component (Value)
        • 5.2.4.1. Solutions
        • 5.2.4.2. Platform/API
        • 5.2.4.3. Services
      • 5.2.5. Global Artificial Neural Network 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. Artificial Neural Network: 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. Google (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. Oracle (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 (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. Intel (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. Qualcomm (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. Alyuda (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. Ward Systems (United States)
        • 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. GMDH, LLC (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. Starmind (Switzerland)
        • 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
  • 7. Global Artificial Neural Network Sale, by Application, Deployment mode, Industry Vertical, Component and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Artificial Neural Network (Value)
      • 7.2.1. Global Artificial Neural Network by: Application (Value)
        • 7.2.1.1. Image Recognition
        • 7.2.1.2. Signal Recognition
        • 7.2.1.3. Data Mining
        • 7.2.1.4. Others
      • 7.2.2. Global Artificial Neural Network by: Deployment mode (Value)
        • 7.2.2.1. On-premises
        • 7.2.2.2. Cloud
      • 7.2.3. Global Artificial Neural Network by: Industry Vertical (Value)
        • 7.2.3.1. Banking, Financial Services, and Insurance (BFSI)
        • 7.2.3.2. Retail and eCommerce
        • 7.2.3.3. Telecommunication and Information Technology (IT)
        • 7.2.3.4. Healthcare and Life Sciences
        • 7.2.3.5. Manufacturing
        • 7.2.3.6. Government and Defense
        • 7.2.3.7. Transportation and Logistics
        • 7.2.3.8. Others
      • 7.2.4. Global Artificial Neural Network by: Component (Value)
        • 7.2.4.1. Solutions
        • 7.2.4.2. Platform/API
        • 7.2.4.3. Services
      • 7.2.5. Global Artificial Neural Network 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. Artificial Neural Network: by Application(USD Million)
  • Table 2. Artificial Neural Network Image Recognition , by Region USD Million (2014-2019)
  • Table 3. Artificial Neural Network Signal Recognition , by Region USD Million (2014-2019)
  • Table 4. Artificial Neural Network Data Mining , by Region USD Million (2014-2019)
  • Table 5. Artificial Neural Network Others , by Region USD Million (2014-2019)
  • Table 6. Artificial Neural Network: by Deployment mode(USD Million)
  • Table 7. Artificial Neural Network On-premises , by Region USD Million (2014-2019)
  • Table 8. Artificial Neural Network Cloud , by Region USD Million (2014-2019)
  • Table 9. Artificial Neural Network: by Industry Vertical(USD Million)
  • Table 10. Artificial Neural Network Banking, Financial Services, and Insurance (BFSI) , by Region USD Million (2014-2019)
  • Table 11. Artificial Neural Network Retail and eCommerce , by Region USD Million (2014-2019)
  • Table 12. Artificial Neural Network Telecommunication and Information Technology (IT) , by Region USD Million (2014-2019)
  • Table 13. Artificial Neural Network Healthcare and Life Sciences , by Region USD Million (2014-2019)
  • Table 14. Artificial Neural Network Manufacturing , by Region USD Million (2014-2019)
  • Table 15. Artificial Neural Network Government and Defense , by Region USD Million (2014-2019)
  • Table 16. Artificial Neural Network Transportation and Logistics , by Region USD Million (2014-2019)
  • Table 17. Artificial Neural Network Others , by Region USD Million (2014-2019)
  • Table 18. Artificial Neural Network: by Component(USD Million)
  • Table 19. Artificial Neural Network Solutions , by Region USD Million (2014-2019)
  • Table 20. Artificial Neural Network Platform/API , by Region USD Million (2014-2019)
  • Table 21. Artificial Neural Network Services , by Region USD Million (2014-2019)
  • Table 22. South America Artificial Neural Network, by Country USD Million (2014-2019)
  • Table 23. South America Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 24. South America Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 25. South America Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 26. South America Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 27. Brazil Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 28. Brazil Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 29. Brazil Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 30. Brazil Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 31. Argentina Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 32. Argentina Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 33. Argentina Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 34. Argentina Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 35. Rest of South America Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 36. Rest of South America Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 37. Rest of South America Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 38. Rest of South America Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 39. Asia Pacific Artificial Neural Network, by Country USD Million (2014-2019)
  • Table 40. Asia Pacific Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 41. Asia Pacific Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 42. Asia Pacific Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 43. Asia Pacific Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 44. China Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 45. China Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 46. China Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 47. China Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 48. Japan Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 49. Japan Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 50. Japan Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 51. Japan Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 52. India Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 53. India Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 54. India Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 55. India Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 56. South Korea Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 57. South Korea Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 58. South Korea Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 59. South Korea Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 60. Taiwan Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 61. Taiwan Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 62. Taiwan Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 63. Taiwan Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 64. Australia Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 65. Australia Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 66. Australia Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 67. Australia Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 68. Rest of Asia-Pacific Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 69. Rest of Asia-Pacific Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 70. Rest of Asia-Pacific Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 71. Rest of Asia-Pacific Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 72. Europe Artificial Neural Network, by Country USD Million (2014-2019)
  • Table 73. Europe Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 74. Europe Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 75. Europe Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 76. Europe Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 77. Germany Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 78. Germany Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 79. Germany Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 80. Germany Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 81. France Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 82. France Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 83. France Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 84. France Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 85. Italy Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 86. Italy Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 87. Italy Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 88. Italy Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 89. United Kingdom Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 90. United Kingdom Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 91. United Kingdom Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 92. United Kingdom Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 93. Netherlands Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 94. Netherlands Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 95. Netherlands Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 96. Netherlands Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 97. Rest of Europe Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 98. Rest of Europe Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 99. Rest of Europe Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 100. Rest of Europe Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 101. MEA Artificial Neural Network, by Country USD Million (2014-2019)
  • Table 102. MEA Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 103. MEA Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 104. MEA Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 105. MEA Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 106. Middle East Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 107. Middle East Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 108. Middle East Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 109. Middle East Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 110. Africa Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 111. Africa Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 112. Africa Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 113. Africa Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 114. North America Artificial Neural Network, by Country USD Million (2014-2019)
  • Table 115. North America Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 116. North America Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 117. North America Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 118. North America Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 119. United States Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 120. United States Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 121. United States Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 122. United States Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 123. Canada Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 124. Canada Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 125. Canada Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 126. Canada Artificial Neural Network, by Component USD Million (2014-2019)
  • Table 127. Mexico Artificial Neural Network, by Application USD Million (2014-2019)
  • Table 128. Mexico Artificial Neural Network, by Deployment mode USD Million (2014-2019)
  • Table 129. Mexico Artificial Neural Network, by Industry Vertical USD Million (2014-2019)
  • Table 130. Mexico Artificial Neural Network, by Component USD Million (2014-2019)
  • 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. Artificial Neural Network: by Application(USD Million)
  • Table 142. Artificial Neural Network Image Recognition , by Region USD Million (2020-2025)
  • Table 143. Artificial Neural Network Signal Recognition , by Region USD Million (2020-2025)
  • Table 144. Artificial Neural Network Data Mining , by Region USD Million (2020-2025)
  • Table 145. Artificial Neural Network Others , by Region USD Million (2020-2025)
  • Table 146. Artificial Neural Network: by Deployment mode(USD Million)
  • Table 147. Artificial Neural Network On-premises , by Region USD Million (2020-2025)
  • Table 148. Artificial Neural Network Cloud , by Region USD Million (2020-2025)
  • Table 149. Artificial Neural Network: by Industry Vertical(USD Million)
  • Table 150. Artificial Neural Network Banking, Financial Services, and Insurance (BFSI) , by Region USD Million (2020-2025)
  • Table 151. Artificial Neural Network Retail and eCommerce , by Region USD Million (2020-2025)
  • Table 152. Artificial Neural Network Telecommunication and Information Technology (IT) , by Region USD Million (2020-2025)
  • Table 153. Artificial Neural Network Healthcare and Life Sciences , by Region USD Million (2020-2025)
  • Table 154. Artificial Neural Network Manufacturing , by Region USD Million (2020-2025)
  • Table 155. Artificial Neural Network Government and Defense , by Region USD Million (2020-2025)
  • Table 156. Artificial Neural Network Transportation and Logistics , by Region USD Million (2020-2025)
  • Table 157. Artificial Neural Network Others , by Region USD Million (2020-2025)
  • Table 158. Artificial Neural Network: by Component(USD Million)
  • Table 159. Artificial Neural Network Solutions , by Region USD Million (2020-2025)
  • Table 160. Artificial Neural Network Platform/API , by Region USD Million (2020-2025)
  • Table 161. Artificial Neural Network Services , by Region USD Million (2020-2025)
  • Table 162. South America Artificial Neural Network, by Country USD Million (2020-2025)
  • Table 163. South America Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 164. South America Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 165. South America Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 166. South America Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 167. Brazil Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 168. Brazil Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 169. Brazil Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 170. Brazil Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 171. Argentina Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 172. Argentina Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 173. Argentina Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 174. Argentina Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 175. Rest of South America Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 176. Rest of South America Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 177. Rest of South America Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 178. Rest of South America Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 179. Asia Pacific Artificial Neural Network, by Country USD Million (2020-2025)
  • Table 180. Asia Pacific Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 181. Asia Pacific Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 182. Asia Pacific Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 183. Asia Pacific Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 184. China Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 185. China Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 186. China Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 187. China Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 188. Japan Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 189. Japan Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 190. Japan Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 191. Japan Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 192. India Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 193. India Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 194. India Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 195. India Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 196. South Korea Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 197. South Korea Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 198. South Korea Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 199. South Korea Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 200. Taiwan Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 201. Taiwan Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 202. Taiwan Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 203. Taiwan Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 204. Australia Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 205. Australia Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 206. Australia Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 207. Australia Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 208. Rest of Asia-Pacific Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 209. Rest of Asia-Pacific Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 210. Rest of Asia-Pacific Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 211. Rest of Asia-Pacific Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 212. Europe Artificial Neural Network, by Country USD Million (2020-2025)
  • Table 213. Europe Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 214. Europe Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 215. Europe Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 216. Europe Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 217. Germany Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 218. Germany Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 219. Germany Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 220. Germany Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 221. France Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 222. France Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 223. France Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 224. France Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 225. Italy Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 226. Italy Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 227. Italy Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 228. Italy Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 229. United Kingdom Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 230. United Kingdom Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 231. United Kingdom Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 232. United Kingdom Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 233. Netherlands Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 234. Netherlands Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 235. Netherlands Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 236. Netherlands Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 237. Rest of Europe Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 238. Rest of Europe Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 239. Rest of Europe Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 240. Rest of Europe Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 241. MEA Artificial Neural Network, by Country USD Million (2020-2025)
  • Table 242. MEA Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 243. MEA Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 244. MEA Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 245. MEA Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 246. Middle East Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 247. Middle East Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 248. Middle East Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 249. Middle East Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 250. Africa Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 251. Africa Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 252. Africa Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 253. Africa Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 254. North America Artificial Neural Network, by Country USD Million (2020-2025)
  • Table 255. North America Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 256. North America Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 257. North America Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 258. North America Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 259. United States Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 260. United States Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 261. United States Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 262. United States Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 263. Canada Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 264. Canada Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 265. Canada Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 266. Canada Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 267. Mexico Artificial Neural Network, by Application USD Million (2020-2025)
  • Table 268. Mexico Artificial Neural Network, by Deployment mode USD Million (2020-2025)
  • Table 269. Mexico Artificial Neural Network, by Industry Vertical USD Million (2020-2025)
  • Table 270. Mexico Artificial Neural Network, by Component USD Million (2020-2025)
  • Table 271. Research Programs/Design for This Report
  • Table 272. Key Data Information from Secondary Sources
  • Table 273. 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 Artificial Neural Network: by Application USD Million (2014-2019)
  • Figure 5. Global Artificial Neural Network: by Deployment mode USD Million (2014-2019)
  • Figure 6. Global Artificial Neural Network: by Industry Vertical USD Million (2014-2019)
  • Figure 7. Global Artificial Neural Network: by Component USD Million (2014-2019)
  • Figure 8. South America Artificial Neural Network Share (%), by Country
  • Figure 9. Asia Pacific Artificial Neural Network Share (%), by Country
  • Figure 10. Europe Artificial Neural Network Share (%), by Country
  • Figure 11. MEA Artificial Neural Network Share (%), by Country
  • Figure 12. North America Artificial Neural Network Share (%), by Country
  • Figure 13. Global Artificial Neural Network share by Players 2019 (%)
  • Figure 14. Global Artificial Neural Network share by Players (Top 3) 2019(%)
  • Figure 15. Global Artificial Neural Network share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Google (United States) Revenue, Net Income and Gross profit
  • Figure 18. Google (United States) Revenue: by Geography 2019
  • Figure 19. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM (United States) Revenue: by Geography 2019
  • Figure 21. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 22. Oracle (United States) Revenue: by Geography 2019
  • Figure 23. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 24. Microsoft (United States) Revenue: by Geography 2019
  • Figure 25. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 26. Intel (United States) Revenue: by Geography 2019
  • Figure 27. Qualcomm (United States) Revenue, Net Income and Gross profit
  • Figure 28. Qualcomm (United States) Revenue: by Geography 2019
  • Figure 29. Alyuda (United States) Revenue, Net Income and Gross profit
  • Figure 30. Alyuda (United States) Revenue: by Geography 2019
  • Figure 31. Ward Systems (United States) Revenue, Net Income and Gross profit
  • Figure 32. Ward Systems (United States) Revenue: by Geography 2019
  • Figure 33. GMDH, LLC (United States) Revenue, Net Income and Gross profit
  • Figure 34. GMDH, LLC (United States) Revenue: by Geography 2019
  • Figure 35. Starmind (Switzerland) Revenue, Net Income and Gross profit
  • Figure 36. Starmind (Switzerland) Revenue: by Geography 2019
  • Figure 37. Global Artificial Neural Network: by Application USD Million (2020-2025)
  • Figure 38. Global Artificial Neural Network: by Deployment mode USD Million (2020-2025)
  • Figure 39. Global Artificial Neural Network: by Industry Vertical USD Million (2020-2025)
  • Figure 40. Global Artificial Neural Network: by Component USD Million (2020-2025)
  • Figure 41. South America Artificial Neural Network Share (%), by Country
  • Figure 42. Asia Pacific Artificial Neural Network Share (%), by Country
  • Figure 43. Europe Artificial Neural Network Share (%), by Country
  • Figure 44. MEA Artificial Neural Network Share (%), by Country
  • Figure 45. North America Artificial Neural Network Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Google (United States)
  • IBM (United States)
  • Oracle (United States)
  • Microsoft (United States)
  • Intel (United States)
  • Qualcomm (United States)
  • Alyuda (United States)
  • Ward Systems (United States)
  • GMDH, LLC (United States)
  • Starmind (Switzerland)
Additional players considered in the study are as follows:
NeuralWare (United States) , Neurala (United States) , Clarifai (United States)
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