Anomaly Detection Solution Comprehensive Study by Type (Network Behavior Anomaly Detection, User Behavior Anomaly Detection), Application (Banking, Financial Services, and Insurance (BFSI), Retail, Manufacturing, IT and telecom, Defense and government, Healthcare, Others (entertainment and education)), Deployment Mode (Cloud, On-premises, Hybrid), Technology (Big data analytics, Data mining and business intelligence, Machine learning and artificial intelligence) Players and Region - Global Market Outlook to 2026

Anomaly Detection Solution Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Anomaly Detection Solution Market?

Anomaly Detection Solution helps in identifying behavior or actions of a certain user or a set of actions by users which do not conform to expected patterns in a dataset. The three main types of anomaly detection solutions are unsupervised anomaly detection, supervised anomaly detection, and semi-supervised anomaly detection. This system is designed accordingly to identify and prevent malicious activity in a network of computers.

The market study is being classified by Type (Network Behavior Anomaly Detection and User Behavior Anomaly Detection), by Application (Banking, Financial Services, and Insurance (BFSI), Retail, Manufacturing, IT and telecom, Defense and government, Healthcare and Others (entertainment and education)) and major geographies with country level break-up.

International Business Machines Corporation (United States), SAS Institute, Inc. (United States), Cisco Systems, Inc. (United States), Dell Technologies, Inc. (United States), Hewlett Packard Enterprise Company (United States), Symantec Corporation (United States), Trend Micro, Inc. (Japan), Splunk, Inc. (United States), Wipro Limited (India) and Securonix, Inc. (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Gurucul (United States), Happiest Minds (India) and Guardian Analytics (United States).

The key manufacturers are targeting the innovations of the products with better quality, better technical characteristics, and also assist in providing and humanizing the after-sale service to the consumers. The key players are probable to keep a stronghold on the market over the anticipated period. The key players are accepting strategic decisions and are thinking upon mergers and acquisitions in order to maintain their presence in the market. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Anomaly Detection Solution market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global Anomaly Detection Solution market by Type, Application and Region.

On the basis of geography, the market of Anomaly Detection Solution 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
  • Growth of Data and Emergence of HPDA
  • Increase in Cyber Espionage and Fraudulent Activities
  • Growing Internal Threats Among Enterprises

Market Trend
  • Increase in the Adoption of Anomaly Detection Solutions in Software Testing

Restraints
  • Competition From Open-Source Alternatives Hampering the Demand for Commercial Solutions
  • Lack of Skills and Expertise

Opportunities
  • Detection of Anomalies in Streaming Data From Assets, and Optimization of Business Processes
  • Rise in the Adoption of Black Box Trading By Market Traders

Challenges
  • Detection of Asymmetric Faults





Key Target Audience
Network solution providers, Data and network security providers, Cloud service providers, System integrators, Third-party software testing service providers, Managed Security Service Providers (MSSPs), Application design and software developers, Consultancy firms and advisory firms, Regulatory agencies, Technology consultants and Government

Report Objectives / Segmentation Covered

By Type
  • Network Behavior Anomaly Detection
  • User Behavior Anomaly Detection
By Application
  • Banking, Financial Services, and Insurance (BFSI)
  • Retail
  • Manufacturing
  • IT and telecom
  • Defense and government
  • Healthcare
  • Others (entertainment and education)
By Deployment Mode
  • Cloud
  • On-premises
  • Hybrid

By Technology
  • Big data analytics
  • Data mining and business intelligence
  • Machine learning and artificial intelligence

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. Growth of Data and Emergence of HPDA
      • 3.2.2. Increase in Cyber Espionage and Fraudulent Activities
      • 3.2.3. Growing Internal Threats Among Enterprises
    • 3.3. Market Challenges
      • 3.3.1. Detection of Asymmetric Faults
    • 3.4. Market Trends
      • 3.4.1. Increase in the Adoption of Anomaly Detection Solutions in Software Testing
  • 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 Anomaly Detection Solution, by Type, Application, Deployment Mode, Technology and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Anomaly Detection Solution (Value)
      • 5.2.1. Global Anomaly Detection Solution by: Type (Value)
        • 5.2.1.1. Network Behavior Anomaly Detection
        • 5.2.1.2. User Behavior Anomaly Detection
      • 5.2.2. Global Anomaly Detection Solution by: Application (Value)
        • 5.2.2.1. Banking, Financial Services, and Insurance (BFSI)
        • 5.2.2.2. Retail
        • 5.2.2.3. Manufacturing
        • 5.2.2.4. IT and telecom
        • 5.2.2.5. Defense and government
        • 5.2.2.6. Healthcare
        • 5.2.2.7. Others (entertainment and education)
      • 5.2.3. Global Anomaly Detection Solution by: Deployment Mode (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-premises
        • 5.2.3.3. Hybrid
      • 5.2.4. Global Anomaly Detection Solution by: Technology (Value)
        • 5.2.4.1. Big data analytics
        • 5.2.4.2. Data mining and business intelligence
        • 5.2.4.3. Machine learning and artificial intelligence
      • 5.2.5. Global Anomaly Detection Solution 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. Anomaly Detection Solution: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. International Business Machines Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SAS Institute, Inc. (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. Cisco Systems, 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. Dell Technologies, Inc. (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. Hewlett Packard Enterprise Company (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. Symantec 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. Trend Micro, Inc. (Japan)
        • 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. Splunk, Inc. (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. Wipro Limited (India)
        • 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. Securonix, 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 Anomaly Detection Solution Sale, by Type, Application, Deployment Mode, Technology and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Anomaly Detection Solution (Value)
      • 7.2.1. Global Anomaly Detection Solution by: Type (Value)
        • 7.2.1.1. Network Behavior Anomaly Detection
        • 7.2.1.2. User Behavior Anomaly Detection
      • 7.2.2. Global Anomaly Detection Solution by: Application (Value)
        • 7.2.2.1. Banking, Financial Services, and Insurance (BFSI)
        • 7.2.2.2. Retail
        • 7.2.2.3. Manufacturing
        • 7.2.2.4. IT and telecom
        • 7.2.2.5. Defense and government
        • 7.2.2.6. Healthcare
        • 7.2.2.7. Others (entertainment and education)
      • 7.2.3. Global Anomaly Detection Solution by: Deployment Mode (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-premises
        • 7.2.3.3. Hybrid
      • 7.2.4. Global Anomaly Detection Solution by: Technology (Value)
        • 7.2.4.1. Big data analytics
        • 7.2.4.2. Data mining and business intelligence
        • 7.2.4.3. Machine learning and artificial intelligence
      • 7.2.5. Global Anomaly Detection Solution 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. Anomaly Detection Solution: by Type(USD Million)
  • Table 2. Anomaly Detection Solution Network Behavior Anomaly Detection , by Region USD Million (2015-2020)
  • Table 3. Anomaly Detection Solution User Behavior Anomaly Detection , by Region USD Million (2015-2020)
  • Table 4. Anomaly Detection Solution: by Application(USD Million)
  • Table 5. Anomaly Detection Solution Banking, Financial Services, and Insurance (BFSI) , by Region USD Million (2015-2020)
  • Table 6. Anomaly Detection Solution Retail , by Region USD Million (2015-2020)
  • Table 7. Anomaly Detection Solution Manufacturing , by Region USD Million (2015-2020)
  • Table 8. Anomaly Detection Solution IT and telecom , by Region USD Million (2015-2020)
  • Table 9. Anomaly Detection Solution Defense and government , by Region USD Million (2015-2020)
  • Table 10. Anomaly Detection Solution Healthcare , by Region USD Million (2015-2020)
  • Table 11. Anomaly Detection Solution Others (entertainment and education) , by Region USD Million (2015-2020)
  • Table 12. Anomaly Detection Solution: by Deployment Mode(USD Million)
  • Table 13. Anomaly Detection Solution Cloud , by Region USD Million (2015-2020)
  • Table 14. Anomaly Detection Solution On-premises , by Region USD Million (2015-2020)
  • Table 15. Anomaly Detection Solution Hybrid , by Region USD Million (2015-2020)
  • Table 16. Anomaly Detection Solution: by Technology(USD Million)
  • Table 17. Anomaly Detection Solution Big data analytics , by Region USD Million (2015-2020)
  • Table 18. Anomaly Detection Solution Data mining and business intelligence , by Region USD Million (2015-2020)
  • Table 19. Anomaly Detection Solution Machine learning and artificial intelligence , by Region USD Million (2015-2020)
  • Table 20. South America Anomaly Detection Solution, by Country USD Million (2015-2020)
  • Table 21. South America Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 22. South America Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 23. South America Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 24. South America Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 25. Brazil Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 26. Brazil Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 27. Brazil Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 28. Brazil Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 29. Argentina Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 30. Argentina Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 31. Argentina Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 32. Argentina Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 33. Rest of South America Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 34. Rest of South America Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 35. Rest of South America Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 36. Rest of South America Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 37. Asia Pacific Anomaly Detection Solution, by Country USD Million (2015-2020)
  • Table 38. Asia Pacific Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 39. Asia Pacific Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 40. Asia Pacific Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 41. Asia Pacific Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 42. China Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 43. China Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 44. China Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 45. China Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 46. Japan Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 47. Japan Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 48. Japan Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 49. Japan Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 50. India Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 51. India Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 52. India Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 53. India Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 54. South Korea Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 55. South Korea Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 56. South Korea Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 57. South Korea Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 58. Taiwan Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 59. Taiwan Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 60. Taiwan Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 61. Taiwan Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 62. Australia Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 63. Australia Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 64. Australia Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 65. Australia Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 66. Rest of Asia-Pacific Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 69. Rest of Asia-Pacific Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 70. Europe Anomaly Detection Solution, by Country USD Million (2015-2020)
  • Table 71. Europe Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 72. Europe Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 73. Europe Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 74. Europe Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 75. Germany Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 76. Germany Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 77. Germany Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 78. Germany Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 79. France Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 80. France Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 81. France Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 82. France Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 83. Italy Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 84. Italy Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 85. Italy Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 86. Italy Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 87. United Kingdom Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 88. United Kingdom Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 89. United Kingdom Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 90. United Kingdom Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 91. Netherlands Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 92. Netherlands Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 93. Netherlands Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 94. Netherlands Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 95. Rest of Europe Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 96. Rest of Europe Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 97. Rest of Europe Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 98. Rest of Europe Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 99. MEA Anomaly Detection Solution, by Country USD Million (2015-2020)
  • Table 100. MEA Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 101. MEA Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 102. MEA Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 103. MEA Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 104. Middle East Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 105. Middle East Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 106. Middle East Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 107. Middle East Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 108. Africa Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 109. Africa Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 110. Africa Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 111. Africa Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 112. North America Anomaly Detection Solution, by Country USD Million (2015-2020)
  • Table 113. North America Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 114. North America Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 115. North America Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 116. North America Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 117. United States Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 118. United States Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 119. United States Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 120. United States Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 121. Canada Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 122. Canada Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 123. Canada Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 124. Canada Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 125. Mexico Anomaly Detection Solution, by Type USD Million (2015-2020)
  • Table 126. Mexico Anomaly Detection Solution, by Application USD Million (2015-2020)
  • Table 127. Mexico Anomaly Detection Solution, by Deployment Mode USD Million (2015-2020)
  • Table 128. Mexico Anomaly Detection Solution, by Technology USD Million (2015-2020)
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Anomaly Detection Solution: by Type(USD Million)
  • Table 140. Anomaly Detection Solution Network Behavior Anomaly Detection , by Region USD Million (2021-2026)
  • Table 141. Anomaly Detection Solution User Behavior Anomaly Detection , by Region USD Million (2021-2026)
  • Table 142. Anomaly Detection Solution: by Application(USD Million)
  • Table 143. Anomaly Detection Solution Banking, Financial Services, and Insurance (BFSI) , by Region USD Million (2021-2026)
  • Table 144. Anomaly Detection Solution Retail , by Region USD Million (2021-2026)
  • Table 145. Anomaly Detection Solution Manufacturing , by Region USD Million (2021-2026)
  • Table 146. Anomaly Detection Solution IT and telecom , by Region USD Million (2021-2026)
  • Table 147. Anomaly Detection Solution Defense and government , by Region USD Million (2021-2026)
  • Table 148. Anomaly Detection Solution Healthcare , by Region USD Million (2021-2026)
  • Table 149. Anomaly Detection Solution Others (entertainment and education) , by Region USD Million (2021-2026)
  • Table 150. Anomaly Detection Solution: by Deployment Mode(USD Million)
  • Table 151. Anomaly Detection Solution Cloud , by Region USD Million (2021-2026)
  • Table 152. Anomaly Detection Solution On-premises , by Region USD Million (2021-2026)
  • Table 153. Anomaly Detection Solution Hybrid , by Region USD Million (2021-2026)
  • Table 154. Anomaly Detection Solution: by Technology(USD Million)
  • Table 155. Anomaly Detection Solution Big data analytics , by Region USD Million (2021-2026)
  • Table 156. Anomaly Detection Solution Data mining and business intelligence , by Region USD Million (2021-2026)
  • Table 157. Anomaly Detection Solution Machine learning and artificial intelligence , by Region USD Million (2021-2026)
  • Table 158. South America Anomaly Detection Solution, by Country USD Million (2021-2026)
  • Table 159. South America Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 160. South America Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 161. South America Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 162. South America Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 163. Brazil Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 164. Brazil Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 165. Brazil Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 166. Brazil Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 167. Argentina Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 168. Argentina Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 169. Argentina Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 170. Argentina Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 171. Rest of South America Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 172. Rest of South America Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 173. Rest of South America Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 174. Rest of South America Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 175. Asia Pacific Anomaly Detection Solution, by Country USD Million (2021-2026)
  • Table 176. Asia Pacific Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 177. Asia Pacific Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 178. Asia Pacific Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 179. Asia Pacific Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 180. China Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 181. China Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 182. China Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 183. China Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 184. Japan Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 185. Japan Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 186. Japan Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 187. Japan Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 188. India Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 189. India Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 190. India Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 191. India Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 192. South Korea Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 193. South Korea Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 194. South Korea Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 195. South Korea Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 196. Taiwan Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 197. Taiwan Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 198. Taiwan Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 199. Taiwan Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 200. Australia Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 201. Australia Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 202. Australia Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 203. Australia Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 204. Rest of Asia-Pacific Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 205. Rest of Asia-Pacific Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 206. Rest of Asia-Pacific Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 207. Rest of Asia-Pacific Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 208. Europe Anomaly Detection Solution, by Country USD Million (2021-2026)
  • Table 209. Europe Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 210. Europe Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 211. Europe Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 212. Europe Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 213. Germany Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 214. Germany Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 215. Germany Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 216. Germany Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 217. France Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 218. France Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 219. France Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 220. France Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 221. Italy Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 222. Italy Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 223. Italy Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 224. Italy Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 225. United Kingdom Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 226. United Kingdom Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 227. United Kingdom Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 228. United Kingdom Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 229. Netherlands Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 230. Netherlands Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 231. Netherlands Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 232. Netherlands Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 233. Rest of Europe Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 234. Rest of Europe Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 235. Rest of Europe Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 236. Rest of Europe Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 237. MEA Anomaly Detection Solution, by Country USD Million (2021-2026)
  • Table 238. MEA Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 239. MEA Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 240. MEA Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 241. MEA Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 242. Middle East Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 243. Middle East Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 244. Middle East Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 245. Middle East Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 246. Africa Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 247. Africa Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 248. Africa Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 249. Africa Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 250. North America Anomaly Detection Solution, by Country USD Million (2021-2026)
  • Table 251. North America Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 252. North America Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 253. North America Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 254. North America Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 255. United States Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 256. United States Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 257. United States Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 258. United States Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 259. Canada Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 260. Canada Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 261. Canada Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 262. Canada Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 263. Mexico Anomaly Detection Solution, by Type USD Million (2021-2026)
  • Table 264. Mexico Anomaly Detection Solution, by Application USD Million (2021-2026)
  • Table 265. Mexico Anomaly Detection Solution, by Deployment Mode USD Million (2021-2026)
  • Table 266. Mexico Anomaly Detection Solution, by Technology USD Million (2021-2026)
  • Table 267. Research Programs/Design for This Report
  • Table 268. Key Data Information from Secondary Sources
  • Table 269. 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 Anomaly Detection Solution: by Type USD Million (2015-2020)
  • Figure 5. Global Anomaly Detection Solution: by Application USD Million (2015-2020)
  • Figure 6. Global Anomaly Detection Solution: by Deployment Mode USD Million (2015-2020)
  • Figure 7. Global Anomaly Detection Solution: by Technology USD Million (2015-2020)
  • Figure 8. South America Anomaly Detection Solution Share (%), by Country
  • Figure 9. Asia Pacific Anomaly Detection Solution Share (%), by Country
  • Figure 10. Europe Anomaly Detection Solution Share (%), by Country
  • Figure 11. MEA Anomaly Detection Solution Share (%), by Country
  • Figure 12. North America Anomaly Detection Solution Share (%), by Country
  • Figure 13. Global Anomaly Detection Solution share by Players 2020 (%)
  • Figure 14. Global Anomaly Detection Solution share by Players (Top 3) 2020(%)
  • Figure 15. Global Anomaly Detection Solution share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. International Business Machines Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. International Business Machines Corporation (United States) Revenue: by Geography 2020
  • Figure 19. SAS Institute, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. SAS Institute, Inc. (United States) Revenue: by Geography 2020
  • Figure 21. Cisco Systems, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 22. Cisco Systems, Inc. (United States) Revenue: by Geography 2020
  • Figure 23. Dell Technologies, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. Dell Technologies, Inc. (United States) Revenue: by Geography 2020
  • Figure 25. Hewlett Packard Enterprise Company (United States) Revenue, Net Income and Gross profit
  • Figure 26. Hewlett Packard Enterprise Company (United States) Revenue: by Geography 2020
  • Figure 27. Symantec Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 28. Symantec Corporation (United States) Revenue: by Geography 2020
  • Figure 29. Trend Micro, Inc. (Japan) Revenue, Net Income and Gross profit
  • Figure 30. Trend Micro, Inc. (Japan) Revenue: by Geography 2020
  • Figure 31. Splunk, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Splunk, Inc. (United States) Revenue: by Geography 2020
  • Figure 33. Wipro Limited (India) Revenue, Net Income and Gross profit
  • Figure 34. Wipro Limited (India) Revenue: by Geography 2020
  • Figure 35. Securonix, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. Securonix, Inc. (United States) Revenue: by Geography 2020
  • Figure 37. Global Anomaly Detection Solution: by Type USD Million (2021-2026)
  • Figure 38. Global Anomaly Detection Solution: by Application USD Million (2021-2026)
  • Figure 39. Global Anomaly Detection Solution: by Deployment Mode USD Million (2021-2026)
  • Figure 40. Global Anomaly Detection Solution: by Technology USD Million (2021-2026)
  • Figure 41. South America Anomaly Detection Solution Share (%), by Country
  • Figure 42. Asia Pacific Anomaly Detection Solution Share (%), by Country
  • Figure 43. Europe Anomaly Detection Solution Share (%), by Country
  • Figure 44. MEA Anomaly Detection Solution Share (%), by Country
  • Figure 45. North America Anomaly Detection Solution Share (%), by Country
List of companies from research coverage that are profiled in the study
  • International Business Machines Corporation (United States)
  • SAS Institute, Inc. (United States)
  • Cisco Systems, Inc. (United States)
  • Dell Technologies, Inc. (United States)
  • Hewlett Packard Enterprise Company (United States)
  • Symantec Corporation (United States)
  • Trend Micro, Inc. (Japan)
  • Splunk, Inc. (United States)
  • Wipro Limited (India)
  • Securonix, Inc. (United States)
Additional players considered in the study are as follows:
Gurucul (United States) , Happiest Minds (India) , Guardian Analytics (United States)
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Key Highlights of Report


Mar 2021 226 Pages 81 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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