Global Enterprise Spam Filter

Enterprise Spam Filter Comprehensive Study by End Use (Information Technology and Telecommunication, Education, Government, BFSI, Healthcare, Others), Deployment (Cloud-Based, On-Premise), Scale (Large Enterprise, Small & Medium Enterprises (SMEs)), Component (Software, Service (Managed, Professional)) Players and Region - Global Market Outlook to 2026

Enterprise Spam Filter Market by XX Submarkets | Forecast Years 2020-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Enterprise Spam Filter Market Scope
Electronic mail (abbreviated as e-mail) is a quick, efficient, and low-cost way to send and receive messages over the Internet. As people's reliance on e-mail grows, so does the number of difficulties caused by 'illegitimate' e-mails, such as spam. Spam's role as a malware carrier results in an increase in unsolicited advertisements, fraud schemes, phishing messages, sexual content, cause-related promotions, and other types of spam. As spam quantities have grown in recent years, spam-reduction solutions have advanced quickly. The security protocols required to recognise and isolate sophisticated spam are built into a corporate spam filter. Many spam filters in email services do not use these security procedures. Without an appropriate solution in place, businesses risk receiving a large number of spoofing and phishing emails in their users' inboxes. This has facilitated demand for effective enterprise Spam Filter solutions.

The Enterprise Spam Filter market study is segmented and major geographies with country level break-up.

The global market is highly competitive and consists of a limited number of providers who compete with each other. The intense competition, changing consumer spending patterns, demographic trends, and frequent changes in consumer preferences pose significant opportunities for market growth. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Enterprise Spam Filter market throughout the predicted period.

Barracuda Networks, Inc. (United States), Comodo Group, Inc. (United States), CudaMail Spam Filtering (Canada), Firetrust Ltd. (New Zealand), Greenview Data, Inc. (United States), MailCleaner (Switzerland), Hornetsecurity GmbH (Germany), Actopia Communications Ltd. (United Kingdom), Mimecast Services Ltd. (United Kingdom) and MX Guarddog (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Our IT Department Ltd. (United Kingdom), TitanHQ (Ireland), OzHosting.com Pty Ltd. (Australia), Server Cake India (India), SolarWinds MSP UK Ltd. (United Kingdom), SPAMfighter (Denmark) and NortonLifeLock Inc. (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
AMA Research has segmented the market of Global Enterprise Spam Filter market by Type, Application and Region.

On the basis of geography, the market of Enterprise Spam Filter 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).

On 1st June 2017 – Google Launched Security Update to its Gmail for Enterprises with Machine Learning and More to Combat Phishing and Spam. The New Gmail Version Includes Google Safe Browsing Machine Learning Capabilities That Detect and Identify Phishy and Suspicious URLs (Uniform Resource Locators).
United States Federal Govt. Department of Homeland Security; Binding Operational Directive 18-01 - Aimed at Securing the Emails and Web Traffic by Encryption of Emails Across Networks Through Email Authentication Standards Including SPF, DKIM, And DMARC for Government Domains.

Market Trend
  • Integration with Advance Technologies Including AI & ML

Market Drivers
  • Growing Rate of Fraudulent Practices
  • Demand for Reduction in Customer Service Costs Associated to Spam

Opportunities
  • Increasing Usage of Email as a Medium for Formal Communication
  • High Digitization across Remote Regions

Restraints
  • Compatibility Concerns
  • Technical Glitches and Errors

Challenges
  • Lack of Skilled Professionals


Key Target Audience
Enterprise Spam Filter Solution Providers, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others

Report Objectives / Segmentation Covered

By End Use
  • Information Technology and Telecommunication
  • Education
  • Government
  • BFSI
  • Healthcare
  • Others

By Deployment
  • Cloud-Based
  • On-Premise

By Scale
  • Large Enterprise
  • Small & Medium Enterprises (SMEs)

By Component
  • Software
  • Service (Managed, Professional)

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. Growing Rate of Fraudulent Practices
      • 3.2.2. Demand for Reduction in Customer Service Costs Associated to Spam
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled Professionals
    • 3.4. Market Trends
      • 3.4.1. Integration with Advance Technologies Including AI & ML
  • 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 Enterprise Spam Filter, by End Use, Deployment, Scale, Component and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Enterprise Spam Filter (Value)
      • 5.2.1. Global Enterprise Spam Filter by: End Use (Value)
        • 5.2.1.1. Information Technology and Telecommunication
        • 5.2.1.2. Education
        • 5.2.1.3. Government
        • 5.2.1.4. BFSI
        • 5.2.1.5. Healthcare
        • 5.2.1.6. Others
      • 5.2.2. Global Enterprise Spam Filter by: Deployment (Value)
        • 5.2.2.1. Cloud-Based
        • 5.2.2.2. On-Premise
      • 5.2.3. Global Enterprise Spam Filter by: Scale (Value)
        • 5.2.3.1. Large Enterprise
        • 5.2.3.2. Small & Medium Enterprises (SMEs)
      • 5.2.4. Global Enterprise Spam Filter by: Component (Value)
        • 5.2.4.1. Software
        • 5.2.4.2. Service (Managed, Professional)
      • 5.2.5. Global Enterprise Spam Filter 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. Enterprise Spam Filter: 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. Barracuda Networks, 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. Comodo Group, 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. CudaMail Spam Filtering (Canada)
        • 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. Firetrust Ltd. (New Zealand)
        • 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. Greenview Data, Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. MailCleaner (Switzerland)
        • 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. Hornetsecurity GmbH (Germany)
        • 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. Actopia Communications Ltd. (United Kingdom)
        • 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. Mimecast Services 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. MX Guarddog (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 Enterprise Spam Filter Sale, by End Use, Deployment, Scale, Component and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Enterprise Spam Filter (Value)
      • 7.2.1. Global Enterprise Spam Filter by: End Use (Value)
        • 7.2.1.1. Information Technology and Telecommunication
        • 7.2.1.2. Education
        • 7.2.1.3. Government
        • 7.2.1.4. BFSI
        • 7.2.1.5. Healthcare
        • 7.2.1.6. Others
      • 7.2.2. Global Enterprise Spam Filter by: Deployment (Value)
        • 7.2.2.1. Cloud-Based
        • 7.2.2.2. On-Premise
      • 7.2.3. Global Enterprise Spam Filter by: Scale (Value)
        • 7.2.3.1. Large Enterprise
        • 7.2.3.2. Small & Medium Enterprises (SMEs)
      • 7.2.4. Global Enterprise Spam Filter by: Component (Value)
        • 7.2.4.1. Software
        • 7.2.4.2. Service (Managed, Professional)
      • 7.2.5. Global Enterprise Spam Filter 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. Enterprise Spam Filter: by End Use(USD Million)
  • Table 2. Enterprise Spam Filter Information Technology and Telecommunication , by Region USD Million (2014-2019)
  • Table 3. Enterprise Spam Filter Education , by Region USD Million (2014-2019)
  • Table 4. Enterprise Spam Filter Government , by Region USD Million (2014-2019)
  • Table 5. Enterprise Spam Filter BFSI , by Region USD Million (2014-2019)
  • Table 6. Enterprise Spam Filter Healthcare , by Region USD Million (2014-2019)
  • Table 7. Enterprise Spam Filter Others , by Region USD Million (2014-2019)
  • Table 8. Enterprise Spam Filter: by Deployment(USD Million)
  • Table 9. Enterprise Spam Filter Cloud-Based , by Region USD Million (2014-2019)
  • Table 10. Enterprise Spam Filter On-Premise , by Region USD Million (2014-2019)
  • Table 11. Enterprise Spam Filter: by Scale(USD Million)
  • Table 12. Enterprise Spam Filter Large Enterprise , by Region USD Million (2014-2019)
  • Table 13. Enterprise Spam Filter Small & Medium Enterprises (SMEs) , by Region USD Million (2014-2019)
  • Table 14. Enterprise Spam Filter: by Component(USD Million)
  • Table 15. Enterprise Spam Filter Software , by Region USD Million (2014-2019)
  • Table 16. Enterprise Spam Filter Service (Managed, Professional) , by Region USD Million (2014-2019)
  • Table 17. South America Enterprise Spam Filter, by Country USD Million (2014-2019)
  • Table 18. South America Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 19. South America Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 20. South America Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 21. South America Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 22. Brazil Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 23. Brazil Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 24. Brazil Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 25. Brazil Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 26. Argentina Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 27. Argentina Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 28. Argentina Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 29. Argentina Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 30. Rest of South America Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 31. Rest of South America Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 32. Rest of South America Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 33. Rest of South America Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 34. Asia Pacific Enterprise Spam Filter, by Country USD Million (2014-2019)
  • Table 35. Asia Pacific Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 36. Asia Pacific Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 37. Asia Pacific Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 38. Asia Pacific Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 39. China Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 40. China Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 41. China Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 42. China Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 43. Japan Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 44. Japan Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 45. Japan Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 46. Japan Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 47. India Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 48. India Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 49. India Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 50. India Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 51. South Korea Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 52. South Korea Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 53. South Korea Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 54. South Korea Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 55. Taiwan Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 56. Taiwan Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 57. Taiwan Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 58. Taiwan Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 59. Australia Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 60. Australia Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 61. Australia Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 62. Australia Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 63. Rest of Asia-Pacific Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 64. Rest of Asia-Pacific Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 65. Rest of Asia-Pacific Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 66. Rest of Asia-Pacific Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 67. Europe Enterprise Spam Filter, by Country USD Million (2014-2019)
  • Table 68. Europe Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 69. Europe Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 70. Europe Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 71. Europe Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 72. Germany Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 73. Germany Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 74. Germany Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 75. Germany Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 76. France Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 77. France Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 78. France Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 79. France Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 80. Italy Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 81. Italy Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 82. Italy Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 83. Italy Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 84. United Kingdom Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 85. United Kingdom Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 86. United Kingdom Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 87. United Kingdom Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 88. Netherlands Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 89. Netherlands Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 90. Netherlands Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 91. Netherlands Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 92. Rest of Europe Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 93. Rest of Europe Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 94. Rest of Europe Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 95. Rest of Europe Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 96. MEA Enterprise Spam Filter, by Country USD Million (2014-2019)
  • Table 97. MEA Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 98. MEA Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 99. MEA Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 100. MEA Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 101. Middle East Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 102. Middle East Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 103. Middle East Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 104. Middle East Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 105. Africa Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 106. Africa Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 107. Africa Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 108. Africa Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 109. North America Enterprise Spam Filter, by Country USD Million (2014-2019)
  • Table 110. North America Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 111. North America Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 112. North America Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 113. North America Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 114. United States Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 115. United States Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 116. United States Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 117. United States Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 118. Canada Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 119. Canada Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 120. Canada Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 121. Canada Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 122. Mexico Enterprise Spam Filter, by End Use USD Million (2014-2019)
  • Table 123. Mexico Enterprise Spam Filter, by Deployment USD Million (2014-2019)
  • Table 124. Mexico Enterprise Spam Filter, by Scale USD Million (2014-2019)
  • Table 125. Mexico Enterprise Spam Filter, by Component USD Million (2014-2019)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Enterprise Spam Filter: by End Use(USD Million)
  • Table 137. Enterprise Spam Filter Information Technology and Telecommunication , by Region USD Million (2021-2026)
  • Table 138. Enterprise Spam Filter Education , by Region USD Million (2021-2026)
  • Table 139. Enterprise Spam Filter Government , by Region USD Million (2021-2026)
  • Table 140. Enterprise Spam Filter BFSI , by Region USD Million (2021-2026)
  • Table 141. Enterprise Spam Filter Healthcare , by Region USD Million (2021-2026)
  • Table 142. Enterprise Spam Filter Others , by Region USD Million (2021-2026)
  • Table 143. Enterprise Spam Filter: by Deployment(USD Million)
  • Table 144. Enterprise Spam Filter Cloud-Based , by Region USD Million (2021-2026)
  • Table 145. Enterprise Spam Filter On-Premise , by Region USD Million (2021-2026)
  • Table 146. Enterprise Spam Filter: by Scale(USD Million)
  • Table 147. Enterprise Spam Filter Large Enterprise , by Region USD Million (2021-2026)
  • Table 148. Enterprise Spam Filter Small & Medium Enterprises (SMEs) , by Region USD Million (2021-2026)
  • Table 149. Enterprise Spam Filter: by Component(USD Million)
  • Table 150. Enterprise Spam Filter Software , by Region USD Million (2021-2026)
  • Table 151. Enterprise Spam Filter Service (Managed, Professional) , by Region USD Million (2021-2026)
  • Table 152. South America Enterprise Spam Filter, by Country USD Million (2021-2026)
  • Table 153. South America Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 154. South America Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 155. South America Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 156. South America Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 157. Brazil Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 158. Brazil Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 159. Brazil Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 160. Brazil Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 161. Argentina Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 162. Argentina Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 163. Argentina Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 164. Argentina Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 165. Rest of South America Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 166. Rest of South America Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 167. Rest of South America Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 168. Rest of South America Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 169. Asia Pacific Enterprise Spam Filter, by Country USD Million (2021-2026)
  • Table 170. Asia Pacific Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 171. Asia Pacific Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 172. Asia Pacific Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 173. Asia Pacific Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 174. China Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 175. China Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 176. China Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 177. China Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 178. Japan Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 179. Japan Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 180. Japan Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 181. Japan Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 182. India Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 183. India Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 184. India Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 185. India Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 186. South Korea Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 187. South Korea Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 188. South Korea Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 189. South Korea Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 190. Taiwan Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 191. Taiwan Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 192. Taiwan Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 193. Taiwan Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 194. Australia Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 195. Australia Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 196. Australia Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 197. Australia Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 198. Rest of Asia-Pacific Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 199. Rest of Asia-Pacific Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 200. Rest of Asia-Pacific Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 201. Rest of Asia-Pacific Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 202. Europe Enterprise Spam Filter, by Country USD Million (2021-2026)
  • Table 203. Europe Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 204. Europe Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 205. Europe Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 206. Europe Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 207. Germany Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 208. Germany Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 209. Germany Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 210. Germany Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 211. France Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 212. France Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 213. France Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 214. France Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 215. Italy Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 216. Italy Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 217. Italy Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 218. Italy Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 219. United Kingdom Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 220. United Kingdom Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 221. United Kingdom Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 222. United Kingdom Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 223. Netherlands Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 224. Netherlands Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 225. Netherlands Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 226. Netherlands Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 227. Rest of Europe Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 228. Rest of Europe Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 229. Rest of Europe Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 230. Rest of Europe Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 231. MEA Enterprise Spam Filter, by Country USD Million (2021-2026)
  • Table 232. MEA Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 233. MEA Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 234. MEA Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 235. MEA Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 236. Middle East Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 237. Middle East Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 238. Middle East Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 239. Middle East Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 240. Africa Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 241. Africa Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 242. Africa Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 243. Africa Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 244. North America Enterprise Spam Filter, by Country USD Million (2021-2026)
  • Table 245. North America Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 246. North America Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 247. North America Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 248. North America Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 249. United States Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 250. United States Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 251. United States Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 252. United States Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 253. Canada Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 254. Canada Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 255. Canada Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 256. Canada Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 257. Mexico Enterprise Spam Filter, by End Use USD Million (2021-2026)
  • Table 258. Mexico Enterprise Spam Filter, by Deployment USD Million (2021-2026)
  • Table 259. Mexico Enterprise Spam Filter, by Scale USD Million (2021-2026)
  • Table 260. Mexico Enterprise Spam Filter, by Component USD Million (2021-2026)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. 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 Enterprise Spam Filter: by End Use USD Million (2014-2019)
  • Figure 5. Global Enterprise Spam Filter: by Deployment USD Million (2014-2019)
  • Figure 6. Global Enterprise Spam Filter: by Scale USD Million (2014-2019)
  • Figure 7. Global Enterprise Spam Filter: by Component USD Million (2014-2019)
  • Figure 8. South America Enterprise Spam Filter Share (%), by Country
  • Figure 9. Asia Pacific Enterprise Spam Filter Share (%), by Country
  • Figure 10. Europe Enterprise Spam Filter Share (%), by Country
  • Figure 11. MEA Enterprise Spam Filter Share (%), by Country
  • Figure 12. North America Enterprise Spam Filter Share (%), by Country
  • Figure 13. Global Enterprise Spam Filter share by Players 2019 (%)
  • Figure 14. Global Enterprise Spam Filter share by Players (Top 3) 2019(%)
  • Figure 15. Global Enterprise Spam Filter share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Barracuda Networks, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Barracuda Networks, Inc. (United States) Revenue: by Geography 2019
  • Figure 19. Comodo Group, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. Comodo Group, Inc. (United States) Revenue: by Geography 2019
  • Figure 21. CudaMail Spam Filtering (Canada) Revenue, Net Income and Gross profit
  • Figure 22. CudaMail Spam Filtering (Canada) Revenue: by Geography 2019
  • Figure 23. Firetrust Ltd. (New Zealand) Revenue, Net Income and Gross profit
  • Figure 24. Firetrust Ltd. (New Zealand) Revenue: by Geography 2019
  • Figure 25. Greenview Data, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Greenview Data, Inc. (United States) Revenue: by Geography 2019
  • Figure 27. MailCleaner (Switzerland) Revenue, Net Income and Gross profit
  • Figure 28. MailCleaner (Switzerland) Revenue: by Geography 2019
  • Figure 29. Hornetsecurity GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 30. Hornetsecurity GmbH (Germany) Revenue: by Geography 2019
  • Figure 31. Actopia Communications Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Actopia Communications Ltd. (United Kingdom) Revenue: by Geography 2019
  • Figure 33. Mimecast Services Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. Mimecast Services Ltd. (United Kingdom) Revenue: by Geography 2019
  • Figure 35. MX Guarddog (United States) Revenue, Net Income and Gross profit
  • Figure 36. MX Guarddog (United States) Revenue: by Geography 2019
  • Figure 37. Global Enterprise Spam Filter: by End Use USD Million (2021-2026)
  • Figure 38. Global Enterprise Spam Filter: by Deployment USD Million (2021-2026)
  • Figure 39. Global Enterprise Spam Filter: by Scale USD Million (2021-2026)
  • Figure 40. Global Enterprise Spam Filter: by Component USD Million (2021-2026)
  • Figure 41. South America Enterprise Spam Filter Share (%), by Country
  • Figure 42. Asia Pacific Enterprise Spam Filter Share (%), by Country
  • Figure 43. Europe Enterprise Spam Filter Share (%), by Country
  • Figure 44. MEA Enterprise Spam Filter Share (%), by Country
  • Figure 45. North America Enterprise Spam Filter Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Barracuda Networks, Inc. (United States)
  • Comodo Group, Inc. (United States)
  • CudaMail Spam Filtering (Canada)
  • Firetrust Ltd. (New Zealand)
  • Greenview Data, Inc. (United States)
  • MailCleaner (Switzerland)
  • Hornetsecurity GmbH (Germany)
  • Actopia Communications Ltd. (United Kingdom)
  • Mimecast Services Ltd. (United Kingdom)
  • MX Guarddog (United States)
Additional players considered in the study are as follows:
Our IT Department Ltd. (United Kingdom) , TitanHQ (Ireland) , OzHosting.com Pty Ltd. (Australia) , Server Cake India (India) , SolarWinds MSP UK Ltd. (United Kingdom) , SPAMfighter (Denmark) , NortonLifeLock Inc. (United States)
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Sep 2021 217 Pages 74 Tables Base Year: 2019 Coverage: 15+ Companies; 18 Countries

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Global Enterprise Spam Filter Quantitative research analysis
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