Global Neural Networks Software Market
Global Neural Networks Software Market

Neural Networks Software Comprehensive Study by Type (Analytical Software, Optimization Software, Data Mining & Archiving, Visualization Software), Application (BFSI, Government & Defense, Industrial Manufacturing, Media, Retail & Ecommerce, Telecom & IT, Transportation & Logistics, Others), Deployment Mode (On-premises, Cloud), Component (Neural Network Software, Services, Platform and Other Enabling Services) Players and Region - Global Market Outlook to 2025

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

Nov 2020 Edition 241 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Neural Networks Software Market Overview:
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural network software is used to simulate, research, develop, and apply artificial neural networks, software concepts adapted from biological neural networks, and in some cases, a wider array of adaptive systems such as artificial intelligence and machine learning. Some of the players profiled in the study are Google Inc. (United States), IBM Corporation (United States), Microsoft Corporation (United States), Intel Corporation (United States), Oracle Corporation (United States), SAP SE (Germany), Qualcomm Technologies Inc. (United States), Alyuda Research LLC (United States), Neural Technologies Ltd. (United Kingdom) and Ward Systems Group Inc. (United States).

On the basis of geography, the market of Neural Networks 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 Deployment Mode, the sub-segment i.e. On-premises will boost the Neural Networks Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Neural Network Software will boost the Neural Networks Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

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

Influencing Trend
  • Technological Advancements is Boosting the Market

Restraints
  • Lack Of High Level Of Expertise Among The ANN Service Providers To Deploy Neural Network Software

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
  • Absence Of Government And Compliance Issues


Key Market Developments:

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

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.

Target Audience:
Machine learning/Artificial Intelligence (AI) solution and service providers, Cognitive and AI technology experts/providers, Business intelligence tools and system experts/providers, System integrators, End-users/consumers/enterprise users, Telecommunication providers, Mobile network operators, Internet of Things (IoT) device/wearable device manufacturers, Managed service providers, Technology consultants and Training and education service providers

Major Objectives Focused through this Study
• To define, describe, and forecast the Global Neural Networks Software market on the basis of product [Analytical Software, Optimization Software, Data Mining & Archiving and Visualization Software] , application [BFSI, Government & Defense, Industrial Manufacturing, Media, Retail & Ecommerce, Telecom & IT, Transportation & Logistics and Others], 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 Neural Networks 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 Neural Networks 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 Afiniti (United States), GMDH LLC (United States), Starmind International AG (Switzerland), Neuralware (United States), Slagkryssaren AB (Sweden), Corporation (Canada) and Swiftkey (United Kingdom).
** Confirmation on availability of data would be informed prior purchase

While framing the research framework, major and emerging players operating in the Neural Networks Software market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.
Report Objectives / Segmentation Covered
By Type
  • Analytical Software
  • Optimization Software
  • Data Mining & Archiving
  • Visualization Software
By Application
  • BFSI
  • Government & Defense
  • Industrial Manufacturing
  • Media
  • Retail & Ecommerce
  • Telecom & IT
  • Transportation & Logistics
  • Others
By Deployment Mode
  • On-premises
  • Cloud

By Component
  • Neural Network Software
  • Services
  • Platform and Other Enabling 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. Absence Of Government And Compliance Issues
    • 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 Neural Networks Software, by Type, Application, Deployment Mode, Component and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Neural Networks Software (Value)
      • 5.2.1. Global Neural Networks Software by: Type (Value)
        • 5.2.1.1. Analytical Software
        • 5.2.1.2. Optimization Software
        • 5.2.1.3. Data Mining & Archiving
        • 5.2.1.4. Visualization Software
      • 5.2.2. Global Neural Networks Software by: Application (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. Government & Defense
        • 5.2.2.3. Industrial Manufacturing
        • 5.2.2.4. Media
        • 5.2.2.5. Retail & Ecommerce
        • 5.2.2.6. Telecom & IT
        • 5.2.2.7. Transportation & Logistics
        • 5.2.2.8. Others
      • 5.2.3. Global Neural Networks Software by: Deployment Mode (Value)
        • 5.2.3.1. On-premises
        • 5.2.3.2. Cloud
      • 5.2.4. Global Neural Networks Software by: Component (Value)
        • 5.2.4.1. Neural Network Software
        • 5.2.4.2. Services
        • 5.2.4.3. Platform and Other Enabling Services
      • 5.2.5. Global Neural Networks 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. Neural Networks 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. Google 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 Corporation (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. Microsoft Corporation (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. Intel 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. Oracle 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. SAP SE (Germany)
        • 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. Qualcomm Technologies 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. Alyuda Research LLC (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. Neural Technologies Ltd. (United Kingdom)
        • 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. Ward Systems Group Inc. (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
  • 7. Global Neural Networks Software Sale, by Type, Application, Deployment Mode, Component and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Neural Networks Software (Value)
      • 7.2.1. Global Neural Networks Software by: Type (Value)
        • 7.2.1.1. Analytical Software
        • 7.2.1.2. Optimization Software
        • 7.2.1.3. Data Mining & Archiving
        • 7.2.1.4. Visualization Software
      • 7.2.2. Global Neural Networks Software by: Application (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. Government & Defense
        • 7.2.2.3. Industrial Manufacturing
        • 7.2.2.4. Media
        • 7.2.2.5. Retail & Ecommerce
        • 7.2.2.6. Telecom & IT
        • 7.2.2.7. Transportation & Logistics
        • 7.2.2.8. Others
      • 7.2.3. Global Neural Networks Software by: Deployment Mode (Value)
        • 7.2.3.1. On-premises
        • 7.2.3.2. Cloud
      • 7.2.4. Global Neural Networks Software by: Component (Value)
        • 7.2.4.1. Neural Network Software
        • 7.2.4.2. Services
        • 7.2.4.3. Platform and Other Enabling Services
      • 7.2.5. Global Neural Networks 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. Neural Networks Software: by Type(USD Million)
  • Table 2. Neural Networks Software Analytical Software , by Region USD Million (2014-2019)
  • Table 3. Neural Networks Software Optimization Software , by Region USD Million (2014-2019)
  • Table 4. Neural Networks Software Data Mining & Archiving , by Region USD Million (2014-2019)
  • Table 5. Neural Networks Software Visualization Software , by Region USD Million (2014-2019)
  • Table 6. Neural Networks Software: by Application(USD Million)
  • Table 7. Neural Networks Software BFSI , by Region USD Million (2014-2019)
  • Table 8. Neural Networks Software Government & Defense , by Region USD Million (2014-2019)
  • Table 9. Neural Networks Software Industrial Manufacturing , by Region USD Million (2014-2019)
  • Table 10. Neural Networks Software Media , by Region USD Million (2014-2019)
  • Table 11. Neural Networks Software Retail & Ecommerce , by Region USD Million (2014-2019)
  • Table 12. Neural Networks Software Telecom & IT , by Region USD Million (2014-2019)
  • Table 13. Neural Networks Software Transportation & Logistics , by Region USD Million (2014-2019)
  • Table 14. Neural Networks Software Others , by Region USD Million (2014-2019)
  • Table 15. Neural Networks Software: by Deployment Mode(USD Million)
  • Table 16. Neural Networks Software On-premises , by Region USD Million (2014-2019)
  • Table 17. Neural Networks Software Cloud , by Region USD Million (2014-2019)
  • Table 18. Neural Networks Software: by Component(USD Million)
  • Table 19. Neural Networks Software Neural Network Software , by Region USD Million (2014-2019)
  • Table 20. Neural Networks Software Services , by Region USD Million (2014-2019)
  • Table 21. Neural Networks Software Platform and Other Enabling Services , by Region USD Million (2014-2019)
  • Table 22. South America Neural Networks Software, by Country USD Million (2014-2019)
  • Table 23. South America Neural Networks Software, by Type USD Million (2014-2019)
  • Table 24. South America Neural Networks Software, by Application USD Million (2014-2019)
  • Table 25. South America Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 26. South America Neural Networks Software, by Component USD Million (2014-2019)
  • Table 27. Brazil Neural Networks Software, by Type USD Million (2014-2019)
  • Table 28. Brazil Neural Networks Software, by Application USD Million (2014-2019)
  • Table 29. Brazil Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 30. Brazil Neural Networks Software, by Component USD Million (2014-2019)
  • Table 31. Argentina Neural Networks Software, by Type USD Million (2014-2019)
  • Table 32. Argentina Neural Networks Software, by Application USD Million (2014-2019)
  • Table 33. Argentina Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 34. Argentina Neural Networks Software, by Component USD Million (2014-2019)
  • Table 35. Rest of South America Neural Networks Software, by Type USD Million (2014-2019)
  • Table 36. Rest of South America Neural Networks Software, by Application USD Million (2014-2019)
  • Table 37. Rest of South America Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 38. Rest of South America Neural Networks Software, by Component USD Million (2014-2019)
  • Table 39. Asia Pacific Neural Networks Software, by Country USD Million (2014-2019)
  • Table 40. Asia Pacific Neural Networks Software, by Type USD Million (2014-2019)
  • Table 41. Asia Pacific Neural Networks Software, by Application USD Million (2014-2019)
  • Table 42. Asia Pacific Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 43. Asia Pacific Neural Networks Software, by Component USD Million (2014-2019)
  • Table 44. China Neural Networks Software, by Type USD Million (2014-2019)
  • Table 45. China Neural Networks Software, by Application USD Million (2014-2019)
  • Table 46. China Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 47. China Neural Networks Software, by Component USD Million (2014-2019)
  • Table 48. Japan Neural Networks Software, by Type USD Million (2014-2019)
  • Table 49. Japan Neural Networks Software, by Application USD Million (2014-2019)
  • Table 50. Japan Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 51. Japan Neural Networks Software, by Component USD Million (2014-2019)
  • Table 52. India Neural Networks Software, by Type USD Million (2014-2019)
  • Table 53. India Neural Networks Software, by Application USD Million (2014-2019)
  • Table 54. India Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 55. India Neural Networks Software, by Component USD Million (2014-2019)
  • Table 56. South Korea Neural Networks Software, by Type USD Million (2014-2019)
  • Table 57. South Korea Neural Networks Software, by Application USD Million (2014-2019)
  • Table 58. South Korea Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 59. South Korea Neural Networks Software, by Component USD Million (2014-2019)
  • Table 60. Taiwan Neural Networks Software, by Type USD Million (2014-2019)
  • Table 61. Taiwan Neural Networks Software, by Application USD Million (2014-2019)
  • Table 62. Taiwan Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 63. Taiwan Neural Networks Software, by Component USD Million (2014-2019)
  • Table 64. Australia Neural Networks Software, by Type USD Million (2014-2019)
  • Table 65. Australia Neural Networks Software, by Application USD Million (2014-2019)
  • Table 66. Australia Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 67. Australia Neural Networks Software, by Component USD Million (2014-2019)
  • Table 68. Rest of Asia-Pacific Neural Networks Software, by Type USD Million (2014-2019)
  • Table 69. Rest of Asia-Pacific Neural Networks Software, by Application USD Million (2014-2019)
  • Table 70. Rest of Asia-Pacific Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 71. Rest of Asia-Pacific Neural Networks Software, by Component USD Million (2014-2019)
  • Table 72. Europe Neural Networks Software, by Country USD Million (2014-2019)
  • Table 73. Europe Neural Networks Software, by Type USD Million (2014-2019)
  • Table 74. Europe Neural Networks Software, by Application USD Million (2014-2019)
  • Table 75. Europe Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 76. Europe Neural Networks Software, by Component USD Million (2014-2019)
  • Table 77. Germany Neural Networks Software, by Type USD Million (2014-2019)
  • Table 78. Germany Neural Networks Software, by Application USD Million (2014-2019)
  • Table 79. Germany Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 80. Germany Neural Networks Software, by Component USD Million (2014-2019)
  • Table 81. France Neural Networks Software, by Type USD Million (2014-2019)
  • Table 82. France Neural Networks Software, by Application USD Million (2014-2019)
  • Table 83. France Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 84. France Neural Networks Software, by Component USD Million (2014-2019)
  • Table 85. Italy Neural Networks Software, by Type USD Million (2014-2019)
  • Table 86. Italy Neural Networks Software, by Application USD Million (2014-2019)
  • Table 87. Italy Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 88. Italy Neural Networks Software, by Component USD Million (2014-2019)
  • Table 89. United Kingdom Neural Networks Software, by Type USD Million (2014-2019)
  • Table 90. United Kingdom Neural Networks Software, by Application USD Million (2014-2019)
  • Table 91. United Kingdom Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 92. United Kingdom Neural Networks Software, by Component USD Million (2014-2019)
  • Table 93. Netherlands Neural Networks Software, by Type USD Million (2014-2019)
  • Table 94. Netherlands Neural Networks Software, by Application USD Million (2014-2019)
  • Table 95. Netherlands Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 96. Netherlands Neural Networks Software, by Component USD Million (2014-2019)
  • Table 97. Rest of Europe Neural Networks Software, by Type USD Million (2014-2019)
  • Table 98. Rest of Europe Neural Networks Software, by Application USD Million (2014-2019)
  • Table 99. Rest of Europe Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 100. Rest of Europe Neural Networks Software, by Component USD Million (2014-2019)
  • Table 101. MEA Neural Networks Software, by Country USD Million (2014-2019)
  • Table 102. MEA Neural Networks Software, by Type USD Million (2014-2019)
  • Table 103. MEA Neural Networks Software, by Application USD Million (2014-2019)
  • Table 104. MEA Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 105. MEA Neural Networks Software, by Component USD Million (2014-2019)
  • Table 106. Middle East Neural Networks Software, by Type USD Million (2014-2019)
  • Table 107. Middle East Neural Networks Software, by Application USD Million (2014-2019)
  • Table 108. Middle East Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 109. Middle East Neural Networks Software, by Component USD Million (2014-2019)
  • Table 110. Africa Neural Networks Software, by Type USD Million (2014-2019)
  • Table 111. Africa Neural Networks Software, by Application USD Million (2014-2019)
  • Table 112. Africa Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 113. Africa Neural Networks Software, by Component USD Million (2014-2019)
  • Table 114. North America Neural Networks Software, by Country USD Million (2014-2019)
  • Table 115. North America Neural Networks Software, by Type USD Million (2014-2019)
  • Table 116. North America Neural Networks Software, by Application USD Million (2014-2019)
  • Table 117. North America Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 118. North America Neural Networks Software, by Component USD Million (2014-2019)
  • Table 119. United States Neural Networks Software, by Type USD Million (2014-2019)
  • Table 120. United States Neural Networks Software, by Application USD Million (2014-2019)
  • Table 121. United States Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 122. United States Neural Networks Software, by Component USD Million (2014-2019)
  • Table 123. Canada Neural Networks Software, by Type USD Million (2014-2019)
  • Table 124. Canada Neural Networks Software, by Application USD Million (2014-2019)
  • Table 125. Canada Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 126. Canada Neural Networks Software, by Component USD Million (2014-2019)
  • Table 127. Mexico Neural Networks Software, by Type USD Million (2014-2019)
  • Table 128. Mexico Neural Networks Software, by Application USD Million (2014-2019)
  • Table 129. Mexico Neural Networks Software, by Deployment Mode USD Million (2014-2019)
  • Table 130. Mexico Neural Networks Software, 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. Neural Networks Software: by Type(USD Million)
  • Table 142. Neural Networks Software Analytical Software , by Region USD Million (2020-2025)
  • Table 143. Neural Networks Software Optimization Software , by Region USD Million (2020-2025)
  • Table 144. Neural Networks Software Data Mining & Archiving , by Region USD Million (2020-2025)
  • Table 145. Neural Networks Software Visualization Software , by Region USD Million (2020-2025)
  • Table 146. Neural Networks Software: by Application(USD Million)
  • Table 147. Neural Networks Software BFSI , by Region USD Million (2020-2025)
  • Table 148. Neural Networks Software Government & Defense , by Region USD Million (2020-2025)
  • Table 149. Neural Networks Software Industrial Manufacturing , by Region USD Million (2020-2025)
  • Table 150. Neural Networks Software Media , by Region USD Million (2020-2025)
  • Table 151. Neural Networks Software Retail & Ecommerce , by Region USD Million (2020-2025)
  • Table 152. Neural Networks Software Telecom & IT , by Region USD Million (2020-2025)
  • Table 153. Neural Networks Software Transportation & Logistics , by Region USD Million (2020-2025)
  • Table 154. Neural Networks Software Others , by Region USD Million (2020-2025)
  • Table 155. Neural Networks Software: by Deployment Mode(USD Million)
  • Table 156. Neural Networks Software On-premises , by Region USD Million (2020-2025)
  • Table 157. Neural Networks Software Cloud , by Region USD Million (2020-2025)
  • Table 158. Neural Networks Software: by Component(USD Million)
  • Table 159. Neural Networks Software Neural Network Software , by Region USD Million (2020-2025)
  • Table 160. Neural Networks Software Services , by Region USD Million (2020-2025)
  • Table 161. Neural Networks Software Platform and Other Enabling Services , by Region USD Million (2020-2025)
  • Table 162. South America Neural Networks Software, by Country USD Million (2020-2025)
  • Table 163. South America Neural Networks Software, by Type USD Million (2020-2025)
  • Table 164. South America Neural Networks Software, by Application USD Million (2020-2025)
  • Table 165. South America Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 166. South America Neural Networks Software, by Component USD Million (2020-2025)
  • Table 167. Brazil Neural Networks Software, by Type USD Million (2020-2025)
  • Table 168. Brazil Neural Networks Software, by Application USD Million (2020-2025)
  • Table 169. Brazil Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 170. Brazil Neural Networks Software, by Component USD Million (2020-2025)
  • Table 171. Argentina Neural Networks Software, by Type USD Million (2020-2025)
  • Table 172. Argentina Neural Networks Software, by Application USD Million (2020-2025)
  • Table 173. Argentina Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 174. Argentina Neural Networks Software, by Component USD Million (2020-2025)
  • Table 175. Rest of South America Neural Networks Software, by Type USD Million (2020-2025)
  • Table 176. Rest of South America Neural Networks Software, by Application USD Million (2020-2025)
  • Table 177. Rest of South America Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 178. Rest of South America Neural Networks Software, by Component USD Million (2020-2025)
  • Table 179. Asia Pacific Neural Networks Software, by Country USD Million (2020-2025)
  • Table 180. Asia Pacific Neural Networks Software, by Type USD Million (2020-2025)
  • Table 181. Asia Pacific Neural Networks Software, by Application USD Million (2020-2025)
  • Table 182. Asia Pacific Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 183. Asia Pacific Neural Networks Software, by Component USD Million (2020-2025)
  • Table 184. China Neural Networks Software, by Type USD Million (2020-2025)
  • Table 185. China Neural Networks Software, by Application USD Million (2020-2025)
  • Table 186. China Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 187. China Neural Networks Software, by Component USD Million (2020-2025)
  • Table 188. Japan Neural Networks Software, by Type USD Million (2020-2025)
  • Table 189. Japan Neural Networks Software, by Application USD Million (2020-2025)
  • Table 190. Japan Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 191. Japan Neural Networks Software, by Component USD Million (2020-2025)
  • Table 192. India Neural Networks Software, by Type USD Million (2020-2025)
  • Table 193. India Neural Networks Software, by Application USD Million (2020-2025)
  • Table 194. India Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 195. India Neural Networks Software, by Component USD Million (2020-2025)
  • Table 196. South Korea Neural Networks Software, by Type USD Million (2020-2025)
  • Table 197. South Korea Neural Networks Software, by Application USD Million (2020-2025)
  • Table 198. South Korea Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 199. South Korea Neural Networks Software, by Component USD Million (2020-2025)
  • Table 200. Taiwan Neural Networks Software, by Type USD Million (2020-2025)
  • Table 201. Taiwan Neural Networks Software, by Application USD Million (2020-2025)
  • Table 202. Taiwan Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 203. Taiwan Neural Networks Software, by Component USD Million (2020-2025)
  • Table 204. Australia Neural Networks Software, by Type USD Million (2020-2025)
  • Table 205. Australia Neural Networks Software, by Application USD Million (2020-2025)
  • Table 206. Australia Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 207. Australia Neural Networks Software, by Component USD Million (2020-2025)
  • Table 208. Rest of Asia-Pacific Neural Networks Software, by Type USD Million (2020-2025)
  • Table 209. Rest of Asia-Pacific Neural Networks Software, by Application USD Million (2020-2025)
  • Table 210. Rest of Asia-Pacific Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 211. Rest of Asia-Pacific Neural Networks Software, by Component USD Million (2020-2025)
  • Table 212. Europe Neural Networks Software, by Country USD Million (2020-2025)
  • Table 213. Europe Neural Networks Software, by Type USD Million (2020-2025)
  • Table 214. Europe Neural Networks Software, by Application USD Million (2020-2025)
  • Table 215. Europe Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 216. Europe Neural Networks Software, by Component USD Million (2020-2025)
  • Table 217. Germany Neural Networks Software, by Type USD Million (2020-2025)
  • Table 218. Germany Neural Networks Software, by Application USD Million (2020-2025)
  • Table 219. Germany Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 220. Germany Neural Networks Software, by Component USD Million (2020-2025)
  • Table 221. France Neural Networks Software, by Type USD Million (2020-2025)
  • Table 222. France Neural Networks Software, by Application USD Million (2020-2025)
  • Table 223. France Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 224. France Neural Networks Software, by Component USD Million (2020-2025)
  • Table 225. Italy Neural Networks Software, by Type USD Million (2020-2025)
  • Table 226. Italy Neural Networks Software, by Application USD Million (2020-2025)
  • Table 227. Italy Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 228. Italy Neural Networks Software, by Component USD Million (2020-2025)
  • Table 229. United Kingdom Neural Networks Software, by Type USD Million (2020-2025)
  • Table 230. United Kingdom Neural Networks Software, by Application USD Million (2020-2025)
  • Table 231. United Kingdom Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 232. United Kingdom Neural Networks Software, by Component USD Million (2020-2025)
  • Table 233. Netherlands Neural Networks Software, by Type USD Million (2020-2025)
  • Table 234. Netherlands Neural Networks Software, by Application USD Million (2020-2025)
  • Table 235. Netherlands Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 236. Netherlands Neural Networks Software, by Component USD Million (2020-2025)
  • Table 237. Rest of Europe Neural Networks Software, by Type USD Million (2020-2025)
  • Table 238. Rest of Europe Neural Networks Software, by Application USD Million (2020-2025)
  • Table 239. Rest of Europe Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 240. Rest of Europe Neural Networks Software, by Component USD Million (2020-2025)
  • Table 241. MEA Neural Networks Software, by Country USD Million (2020-2025)
  • Table 242. MEA Neural Networks Software, by Type USD Million (2020-2025)
  • Table 243. MEA Neural Networks Software, by Application USD Million (2020-2025)
  • Table 244. MEA Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 245. MEA Neural Networks Software, by Component USD Million (2020-2025)
  • Table 246. Middle East Neural Networks Software, by Type USD Million (2020-2025)
  • Table 247. Middle East Neural Networks Software, by Application USD Million (2020-2025)
  • Table 248. Middle East Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 249. Middle East Neural Networks Software, by Component USD Million (2020-2025)
  • Table 250. Africa Neural Networks Software, by Type USD Million (2020-2025)
  • Table 251. Africa Neural Networks Software, by Application USD Million (2020-2025)
  • Table 252. Africa Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 253. Africa Neural Networks Software, by Component USD Million (2020-2025)
  • Table 254. North America Neural Networks Software, by Country USD Million (2020-2025)
  • Table 255. North America Neural Networks Software, by Type USD Million (2020-2025)
  • Table 256. North America Neural Networks Software, by Application USD Million (2020-2025)
  • Table 257. North America Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 258. North America Neural Networks Software, by Component USD Million (2020-2025)
  • Table 259. United States Neural Networks Software, by Type USD Million (2020-2025)
  • Table 260. United States Neural Networks Software, by Application USD Million (2020-2025)
  • Table 261. United States Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 262. United States Neural Networks Software, by Component USD Million (2020-2025)
  • Table 263. Canada Neural Networks Software, by Type USD Million (2020-2025)
  • Table 264. Canada Neural Networks Software, by Application USD Million (2020-2025)
  • Table 265. Canada Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 266. Canada Neural Networks Software, by Component USD Million (2020-2025)
  • Table 267. Mexico Neural Networks Software, by Type USD Million (2020-2025)
  • Table 268. Mexico Neural Networks Software, by Application USD Million (2020-2025)
  • Table 269. Mexico Neural Networks Software, by Deployment Mode USD Million (2020-2025)
  • Table 270. Mexico Neural Networks Software, 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 Neural Networks Software: by Type USD Million (2014-2019)
  • Figure 5. Global Neural Networks Software: by Application USD Million (2014-2019)
  • Figure 6. Global Neural Networks Software: by Deployment Mode USD Million (2014-2019)
  • Figure 7. Global Neural Networks Software: by Component USD Million (2014-2019)
  • Figure 8. South America Neural Networks Software Share (%), by Country
  • Figure 9. Asia Pacific Neural Networks Software Share (%), by Country
  • Figure 10. Europe Neural Networks Software Share (%), by Country
  • Figure 11. MEA Neural Networks Software Share (%), by Country
  • Figure 12. North America Neural Networks Software Share (%), by Country
  • Figure 13. Global Neural Networks Software share by Players 2019 (%)
  • Figure 14. Global Neural Networks Software share by Players (Top 3) 2019(%)
  • Figure 15. Global Neural Networks Software share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Google Inc. (United States) Revenue: by Geography 2019
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2019
  • Figure 21. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 23. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Intel Corporation (United States) Revenue: by Geography 2019
  • Figure 25. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Oracle Corporation (United States) Revenue: by Geography 2019
  • Figure 27. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 28. SAP SE (Germany) Revenue: by Geography 2019
  • Figure 29. Qualcomm Technologies Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Qualcomm Technologies Inc. (United States) Revenue: by Geography 2019
  • Figure 31. Alyuda Research LLC (United States) Revenue, Net Income and Gross profit
  • Figure 32. Alyuda Research LLC (United States) Revenue: by Geography 2019
  • Figure 33. Neural Technologies Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. Neural Technologies Ltd. (United Kingdom) Revenue: by Geography 2019
  • Figure 35. Ward Systems Group Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. Ward Systems Group Inc. (United States) Revenue: by Geography 2019
  • Figure 37. Global Neural Networks Software: by Type USD Million (2020-2025)
  • Figure 38. Global Neural Networks Software: by Application USD Million (2020-2025)
  • Figure 39. Global Neural Networks Software: by Deployment Mode USD Million (2020-2025)
  • Figure 40. Global Neural Networks Software: by Component USD Million (2020-2025)
  • Figure 41. South America Neural Networks Software Share (%), by Country
  • Figure 42. Asia Pacific Neural Networks Software Share (%), by Country
  • Figure 43. Europe Neural Networks Software Share (%), by Country
  • Figure 44. MEA Neural Networks Software Share (%), by Country
  • Figure 45. North America Neural Networks Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Google Inc. (United States)
  • IBM Corporation (United States)
  • Microsoft Corporation (United States)
  • Intel Corporation (United States)
  • Oracle Corporation (United States)
  • SAP SE (Germany)
  • Qualcomm Technologies Inc. (United States)
  • Alyuda Research LLC (United States)
  • Neural Technologies Ltd. (United Kingdom)
  • Ward Systems Group Inc. (United States)
Additional players considered in the study are as follows:
Afiniti (United States) , GMDH LLC (United States) , Starmind International AG (Switzerland) , Neuralware (United States) , Slagkryssaren AB (Sweden) , Corporation (Canada) , Swiftkey (United Kingdom)
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