Global Web Filtering Market 2020 by Company, Regions, Type and Application, Forecast to 2025

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Market Overview

The global Web Filtering market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 7.3% in the forecast period of 2020 to 2025 and will expected to reach USD 3391.6 million by 2025, from USD 2561.4 million in 2019.

The Web Filtering market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Web Filtering market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Web Filtering market has been segmented into:

Domain Name System (DNS) Filtering

Uniform Resource Locator (URL) Filtering

Keyword Filtering

File Type Filtering

Others

By Application, Web Filtering has been segmented into:

Government

Banking, Financial Services, and Insurance (BFSI)

Manufacturing

IT and Telecom

Education

Healthcare

Retail

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Web Filtering market presented in the report. This section sheds light on the sales growth of different regional and country-level Web Filtering markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Web Filtering market.

The report offers in-depth assessment of the growth and other aspects of the Web Filtering market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Web Filtering Market Share Analysis

Web Filtering competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Web Filtering sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Web Filtering sales, revenue and market share for each player covered in this report.

The major players covered in Web Filtering are:

Cisco

Sophos

Palo Alto Networks

Symantec

Forcepoint

McAfee

Zscaler

Trend Micro

Fortinet

Barracuda Networks

Titan HQ

Censornet

Trustwave

Wavecrest Computing

Virtela

Interoute

Iboss

Clearswift

Netskope

Webroot

Cyren

Kaspersky Lab

Contentkeeper Technologies

GFI Software

Untangle

Table of Contents

1 Web Filtering Market Overview

1.1 Product Overview and Scope of Web Filtering

1.2 Classification of Web Filtering by Type

1.2.1 Global Web Filtering Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Web Filtering Revenue Market Share by Type in 2019

1.2.3 Domain Name System (DNS) Filtering

1.2.4 Uniform Resource Locator (URL) Filtering

1.2.5 Keyword Filtering

1.2.6 File Type Filtering

1.2.7 Others

1.3 Global Web Filtering Market by Application

1.3.1 Overview: Global Web Filtering Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Government

1.3.3 Banking, Financial Services, and Insurance (BFSI)

1.3.4 Manufacturing

1.3.5 IT and Telecom

1.3.6 Education

1.3.7 Healthcare

1.3.8 Retail

1.3.9 Others

1.4 Global Web Filtering Market by Regions

1.4.1 Global Web Filtering Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Web Filtering (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Web Filtering Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Web Filtering Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Web Filtering Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Web Filtering Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Web Filtering Status and Prospect (2015-2025)

2 Company Profiles

2.1 Cisco

2.1.1 Cisco Details

2.1.2 Cisco Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Cisco SWOT Analysis

2.1.4 Cisco Product and Services

2.1.5 Cisco Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.2 Sophos

2.2.1 Sophos Details

2.2.2 Sophos Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Sophos SWOT Analysis

2.2.4 Sophos Product and Services

2.2.5 Sophos Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.3 Palo Alto Networks

2.3.1 Palo Alto Networks Details

2.3.2 Palo Alto Networks Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Palo Alto Networks SWOT Analysis

2.3.4 Palo Alto Networks Product and Services

2.3.5 Palo Alto Networks Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.4 Symantec

2.4.1 Symantec Details

2.4.2 Symantec Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Symantec SWOT Analysis

2.4.4 Symantec Product and Services

2.4.5 Symantec Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.5 Forcepoint

2.5.1 Forcepoint Details

2.5.2 Forcepoint Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Forcepoint SWOT Analysis

2.5.4 Forcepoint Product and Services

2.5.5 Forcepoint Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.6 McAfee

2.6.1 McAfee Details

2.6.2 McAfee Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 McAfee SWOT Analysis

2.6.4 McAfee Product and Services

2.6.5 McAfee Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.7 Zscaler

2.7.1 Zscaler Details

2.7.2 Zscaler Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Zscaler SWOT Analysis

2.7.4 Zscaler Product and Services

2.7.5 Zscaler Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.8 Trend Micro

2.8.1 Trend Micro Details

2.8.2 Trend Micro Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Trend Micro SWOT Analysis

2.8.4 Trend Micro Product and Services

2.8.5 Trend Micro Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.9 Fortinet

2.9.1 Fortinet Details

2.9.2 Fortinet Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Fortinet SWOT Analysis

2.9.4 Fortinet Product and Services

2.9.5 Fortinet Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.10 Barracuda Networks

2.10.1 Barracuda Networks Details

2.10.2 Barracuda Networks Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Barracuda Networks SWOT Analysis

2.10.4 Barracuda Networks Product and Services

2.10.5 Barracuda Networks Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.11 Titan HQ

2.11.1 Titan HQ Details

2.11.2 Titan HQ Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 Titan HQ SWOT Analysis

2.11.4 Titan HQ Product and Services

2.11.5 Titan HQ Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.12 Censornet

2.12.1 Censornet Details

2.12.2 Censornet Major Business and Total Revenue (Financial Highlights) Analysis

2.12.3 Censornet SWOT Analysis

2.12.4 Censornet Product and Services

2.12.5 Censornet Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.13 Trustwave

2.13.1 Trustwave Details

2.13.2 Trustwave Major Business and Total Revenue (Financial Highlights) Analysis

2.13.3 Trustwave SWOT Analysis

2.13.4 Trustwave Product and Services

2.13.5 Trustwave Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.14 Wavecrest Computing

2.14.1 Wavecrest Computing Details

2.14.2 Wavecrest Computing Major Business and Total Revenue (Financial Highlights) Analysis

2.14.3 Wavecrest Computing SWOT Analysis

2.14.4 Wavecrest Computing Product and Services

2.14.5 Wavecrest Computing Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.15 Virtela

2.15.1 Virtela Details

2.15.2 Virtela Major Business and Total Revenue (Financial Highlights) Analysis

2.15.3 Virtela SWOT Analysis

2.15.4 Virtela Product and Services

2.15.5 Virtela Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.16 Interoute

2.16.1 Interoute Details

2.16.2 Interoute Major Business and Total Revenue (Financial Highlights) Analysis

2.16.3 Interoute SWOT Analysis

2.16.4 Interoute Product and Services

2.16.5 Interoute Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.17 Iboss

2.17.1 Iboss Details

2.17.2 Iboss Major Business and Total Revenue (Financial Highlights) Analysis

2.17.3 Iboss SWOT Analysis

2.17.4 Iboss Product and Services

2.17.5 Iboss Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.18 Clearswift

2.18.1 Clearswift Details

2.18.2 Clearswift Major Business and Total Revenue (Financial Highlights) Analysis

2.18.3 Clearswift SWOT Analysis

2.18.4 Clearswift Product and Services

2.18.3 Clearswift Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.19 Netskope

2.19.1 Netskope Details

2.19.2 Netskope Major Business and Total Revenue (Financial Highlights) Analysis

2.19.3 Netskope SWOT Analysis

2.19.4 Netskope Product and Services

2.19.5 Netskope Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.20 Webroot

2.20.1 Webroot Details

2.20.2 Webroot Major Business and Total Revenue (Financial Highlights) Analysis

2.20.3 Webroot SWOT Analysis

2.20.4 Webroot Product and Services

2.20.5 Webroot Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.21 Cyren

2.21.1 Cyren Details

2.21.2 Cyren Major Business and Total Revenue (Financial Highlights) Analysis

2.21.3 Cyren SWOT Analysis

2.21.4 Cyren Product and Services

2.21.5 Cyren Web Filtering Revenue, Gross Margin and Market Share (2018-2019)

2.22 Kaspersky Lab

2.23 Contentkeeper Technologies

2.24 GFI Software

2.25 Untangle

3 Market Competition, by Players

3.1 Global Web Filtering Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Web Filtering Players Market Share

3.2.2 Top 10 Web Filtering Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Web Filtering Revenue and Market Share by Regions

4.2 North America Web Filtering Revenue and Growth Rate (2015-2020)

4.3 Europe Web Filtering Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Web Filtering Revenue and Growth Rate (2015-2020)

4.5 South America Web Filtering Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Web Filtering Revenue and Growth Rate (2015-2020)

5 North America Web Filtering Revenue by Countries

5.1 North America Web Filtering Revenue by Countries (2015-2020)

5.2 USA Web Filtering Revenue and Growth Rate (2015-2020)

5.3 Canada Web Filtering Revenue and Growth Rate (2015-2020)

5.4 Mexico Web Filtering Revenue and Growth Rate (2015-2020)

6 Europe Web Filtering Revenue by Countries

6.1 Europe Web Filtering Revenue by Countries (2015-2020)

6.2 Germany Web Filtering Revenue and Growth Rate (2015-2020)

6.3 UK Web Filtering Revenue and Growth Rate (2015-2020)

6.4 France Web Filtering Revenue and Growth Rate (2015-2020)

6.5 Russia Web Filtering Revenue and Growth Rate (2015-2020)

6.6 Italy Web Filtering Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Web Filtering Revenue by Countries

7.1 Asia-Pacific Web Filtering Revenue by Countries (2015-2020)

7.2 China Web Filtering Revenue and Growth Rate (2015-2020)

7.3 Japan Web Filtering Revenue and Growth Rate (2015-2020)

7.4 Korea Web Filtering Revenue and Growth Rate (2015-2020)

7.5 India Web Filtering Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Web Filtering Revenue and Growth Rate (2015-2020)

8 South America Web Filtering Revenue by Countries

8.1 South America Web Filtering Revenue by Countries (2015-2020)

8.2 Brazil Web Filtering Revenue and Growth Rate (2015-2020)

8.3 Argentina Web Filtering Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Web Filtering by Countries

9.1 Middle East & Africa Web Filtering Revenue by Countries (2015-2020)

9.2 Saudi Arabia Web Filtering Revenue and Growth Rate (2015-2020)

9.3 UAE Web Filtering Revenue and Growth Rate (2015-2020)

9.4 Egypt Web Filtering Revenue and Growth Rate (2015-2020)

9.5 South Africa Web Filtering Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Web Filtering Revenue and Market Share by Type (2015-2020)

10.2 Global Web Filtering Market Forecast by Type (2019-2024)

10.3 Domain Name System (DNS) Filtering Revenue Growth Rate (2015-2025)

10.4 Uniform Resource Locator (URL) Filtering Revenue Growth Rate (2015-2025)

10.5 Keyword Filtering Revenue Growth Rate (2015-2025)

10.6 File Type Filtering Revenue Growth Rate (2015-2025)

10.7 Others Revenue Growth Rate (2015-2025)

11 Global Web Filtering Market Segment by Application

11.1 Global Web Filtering Revenue Market Share by Application (2015-2020)

11.2 Web Filtering Market Forecast by Application (2019-2024)

11.3 Government Revenue Growth (2015-2020)

11.4 Banking, Financial Services, and Insurance (BFSI) Revenue Growth (2015-2020)

11.5 Manufacturing Revenue Growth (2015-2020)

11.6 IT and Telecom Revenue Growth (2015-2020)

11.7 Education Revenue Growth (2015-2020)

11.8 Healthcare Revenue Growth (2015-2020)

11.9 Retail Revenue Growth (2015-2020)

11.10 Others Revenue Growth (2015-2020)

12 Global Web Filtering Market Size Forecast (2021-2025)

12.1 Global Web Filtering Market Size Forecast (2021-2025)

12.2 Global Web Filtering Market Forecast by Regions (2021-2025)

12.3 North America Web Filtering Revenue Market Forecast (2021-2025)

12.4 Europe Web Filtering Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Web Filtering Revenue Market Forecast (2021-2025)

12.6 South America Web Filtering Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Web Filtering Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US


List of Tables

Table 1. Global Web Filtering Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Web Filtering by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Web Filtering Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Web Filtering Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Cisco Corporate Information, Location and Competitors

Table 6. Cisco Web Filtering Major Business

Table 7. Cisco Web Filtering Total Revenue (USD Million) (2017-2018)

Table 8. Cisco SWOT Analysis

Table 9. Cisco Web Filtering Product and Solutions

Table 10. Cisco Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Sophos Corporate Information, Location and Competitors

Table 12. Sophos Web Filtering Major Business

Table 13. Sophos Web Filtering Total Revenue (USD Million) (2018-2019)

Table 14. Sophos SWOT Analysis

Table 15. Sophos Web Filtering Product and Solutions

Table 16. Sophos Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Palo Alto Networks Corporate Information, Location and Competitors

Table 18. Palo Alto Networks Web Filtering Major Business

Table 19. Palo Alto Networks Web Filtering Total Revenue (USD Million) (2017-2018)

Table 20. Palo Alto Networks SWOT Analysis

Table 21. Palo Alto Networks Web Filtering Product and Solutions

Table 22. Palo Alto Networks Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Symantec Corporate Information, Location and Competitors

Table 24. Symantec Web Filtering Major Business

Table 25. Symantec Web Filtering Total Revenue (USD Million) (2017-2018)

Table 26. Symantec SWOT Analysis

Table 27. Symantec Web Filtering Product and Solutions

Table 28. Symantec Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Forcepoint Corporate Information, Location and Competitors

Table 30. Forcepoint Web Filtering Major Business

Table 31. Forcepoint Web Filtering Total Revenue (USD Million) (2017-2018)

Table 32. Forcepoint SWOT Analysis

Table 33. Forcepoint Web Filtering Product and Solutions

Table 34. Forcepoint Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. McAfee Corporate Information, Location and Competitors

Table 36. McAfee Web Filtering Major Business

Table 37. McAfee Web Filtering Total Revenue (USD Million) (2017-2018)

Table 38. McAfee SWOT Analysis

Table 39. McAfee Web Filtering Product and Solutions

Table 40. McAfee Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Zscaler Corporate Information, Location and Competitors

Table 42. Zscaler Web Filtering Major Business

Table 43. Zscaler Web Filtering Total Revenue (USD Million) (2017-2018)

Table 44. Zscaler SWOT Analysis

Table 45. Zscaler Web Filtering Product and Solutions

Table 46. Zscaler Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Trend Micro Corporate Information, Location and Competitors

Table 48. Trend Micro Web Filtering Major Business

Table 49. Trend Micro Web Filtering Total Revenue (USD Million) (2017-2018)

Table 50. Trend Micro SWOT Analysis

Table 51. Trend Micro Web Filtering Product and Solutions

Table 52. Trend Micro Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Fortinet Corporate Information, Location and Competitors

Table 54. Fortinet Web Filtering Major Business

Table 55. Fortinet Web Filtering Total Revenue (USD Million) (2017-2018)

Table 56. Fortinet SWOT Analysis

Table 57. Fortinet Web Filtering Product and Solutions

Table 58. Fortinet Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Barracuda Networks Corporate Information, Location and Competitors

Table 60. Barracuda Networks Web Filtering Major Business

Table 61. Barracuda Networks Web Filtering Total Revenue (USD Million) (2017-2018)

Table 62. Barracuda Networks SWOT Analysis

Table 63. Barracuda Networks Web Filtering Product and Solutions

Table 64. Barracuda Networks Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Titan HQ Corporate Information, Location and Competitors

Table 66. Titan HQ Web Filtering Major Business

Table 67. Titan HQ Web Filtering Total Revenue (USD Million) (2017-2018)

Table 68. Titan HQ SWOT Analysis

Table 69. Titan HQ Web Filtering Product and Solutions

Table 70. Titan HQ Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Censornet Corporate Information, Location and Competitors

Table 72. Censornet Web Filtering Major Business

Table 73. Censornet Web Filtering Total Revenue (USD Million) (2017-2018)

Table 74. Censornet SWOT Analysis

Table 75. Censornet Web Filtering Product and Solutions

Table 76. Censornet Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 77. Trustwave Corporate Information, Location and Competitors

Table 78. Trustwave Web Filtering Major Business

Table 79. Trustwave Web Filtering Total Revenue (USD Million) (2017-2018)

Table 80. Trustwave SWOT Analysis

Table 81. Trustwave Web Filtering Product and Solutions

Table 82. Trustwave Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 83. Wavecrest Computing Corporate Information, Location and Competitors

Table 84. Wavecrest Computing Web Filtering Major Business

Table 85. Wavecrest Computing Web Filtering Total Revenue (USD Million) (2017-2018)

Table 86. Wavecrest Computing SWOT Analysis

Table 87. Wavecrest Computing Web Filtering Product and Solutions

Table 88. Wavecrest Computing Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 89. Virtela Corporate Information, Location and Competitors

Table 90. Virtela Web Filtering Major Business

Table 91. Virtela Web Filtering Total Revenue (USD Million) (2017-2018)

Table 92. Virtela SWOT Analysis

Table 93. Virtela Web Filtering Product and Solutions

Table 94. Virtela Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 95. Interoute Corporate Information, Location and Competitors

Table 96. Interoute Web Filtering Major Business

Table 97. Interoute Web Filtering Total Revenue (USD Million) (2017-2018)

Table 98. Interoute SWOT Analysis

Table 99. Interoute Web Filtering Product and Solutions

Table 100. Interoute Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 101. Iboss Corporate Information, Location and Competitors

Table 102. Iboss Web Filtering Major Business

Table 103. Iboss Web Filtering Total Revenue (USD Million) (2017-2018)

Table 104. Iboss SWOT Analysis

Table 105. Iboss Web Filtering Product and Solutions

Table 106. Iboss Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 107. Clearswift Web Filtering Type and Application

Table 108. Clearswift Web Filtering Major Business

Table 109. Clearswift Web Filtering Total Revenue (USD Million) (2017-2018)

Table 110. Clearswift SWOT Analysis

Table 111. Clearswift Web Filtering Product and Solutions

Table 112. Clearswift Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 113. Netskope Corporate Information, Location and Competitors

Table 114. Netskope Web Filtering Major Business

Table 115. Netskope Web Filtering Total Revenue (USD Million) (2017-2018)

Table 116. Netskope SWOT Analysis

Table 117. Netskope Web Filtering Product and Solutions

Table 118. Netskope Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 119. Webroot Corporate Information, Location and Competitors

Table 120. Webroot Web Filtering Major Business

Table 121. Webroot Web Filtering Total Revenue (USD Million) (2017-2018)

Table 122. Webroot SWOT Analysis

Table 123. Webroot Web Filtering Product and Solutions

Table 124. Webroot Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 125. Cyren Corporate Information, Location and Competitors

Table 126. Cyren Web Filtering Major Business

Table 127. Cyren Web Filtering Total Revenue (USD Million) (2017-2018)

Table 128. Cyren SWOT Analysis

Table 129. Cyren Web Filtering Product and Solutions

Table 130. Cyren Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 131. Kaspersky Lab Corporate Information, Location and Competitors

Table 132. Kaspersky Lab Web Filtering Major Business

Table 133. Kaspersky Lab Web Filtering Total Revenue (USD Million) (2017-2018)

Table 134. Kaspersky Lab SWOT Analysis

Table 135. Kaspersky Lab Web Filtering Product and Solutions

Table 136. Kaspersky Lab Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 137. Contentkeeper Technologies Corporate Information, Location and Competitors

Table 138. Contentkeeper Technologies Web Filtering Major Business

Table 139. Contentkeeper Technologies Web Filtering Total Revenue (USD Million) (2017-2018)

Table 140. Contentkeeper Technologies SWOT Analysis

Table 141. Contentkeeper Technologies Web Filtering Product and Solutions

Table 142. Contentkeeper Technologies Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 143. GFI Software Corporate Information, Location and Competitors

Table 144. GFI Software Web Filtering Major Business

Table 145. GFI Software Web Filtering Total Revenue (USD Million) (2017-2018)

Table 146. GFI Software SWOT Analysis

Table 147. GFI Software Web Filtering Product and Solutions

Table 148. GFI Software Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 149. Untangle Corporate Information, Location and Competitors

Table 150. Untangle Web Filtering Major Business

Table 151. Untangle Web Filtering Total Revenue (USD Million) (2017-2018)

Table 152. Untangle SWOT Analysis

Table 153. Untangle Web Filtering Product and Solutions

Table 154. Untangle Web Filtering Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 155. Global Web Filtering Revenue (Million USD) by Players (2015-2020)

Table 156. Global Web Filtering Revenue Share by Players (2015-2020)

Table 157. Global Web Filtering Revenue (Million USD) by Regions (2015-2020)

Table 158. Global Web Filtering Revenue Market Share by Regions (2015-2020)

Table 159. North America Web Filtering Revenue by Countries (2015-2020)

Table 160. North America Web Filtering Revenue Market Share by Countries (2015-2020)

Table 161. Europe Web Filtering Revenue (Million USD) by Countries (2015-2020)

Table 162. Asia-Pacific Web Filtering Revenue (Million USD) by Countries (2015-2020)

Table 163. South America Web Filtering Revenue by Countries (2015-2020)

Table 164. South America Web Filtering Revenue Market Share by Countries (2015-2020)

Table 165. Middle East and Africa Web Filtering Revenue (Million USD) by Countries (2015-2020)

Table 166. Middle East and Africa Web Filtering Revenue Market Share by Countries (2015-2020)

Table 167. Global Web Filtering Revenue (Million USD) by Type (2015-2020)

Table 168. Global Web Filtering Revenue Share by Type (2015-2020)

Table 169. Global Web Filtering Revenue Forecast by Type (2021-2025)

Table 170. Global Web Filtering Revenue by Application (2015-2020)

Table 171. Global Web Filtering Revenue Share by Application (2015-2020)

Table 172. Global Web Filtering Revenue Forecast by Application (2021-2025)

Table 173. Global Web Filtering Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Web Filtering Picture

Figure 2. Global Web Filtering Revenue Market Share by Type in 2019

Figure 3. Domain Name System (DNS) Filtering Picture

Figure 4. Uniform Resource Locator (URL) Filtering Picture

Figure 5. Keyword Filtering Picture

Figure 6. File Type Filtering Picture

Figure 7. Others Picture

Figure 8. Web Filtering Revenue Market Share by Application in 2019

Figure 9. Government Picture

Figure 10. Banking, Financial Services, and Insurance (BFSI) Picture

Figure 11. Manufacturing Picture

Figure 12. IT and Telecom Picture

Figure 13. Education Picture

Figure 14. Healthcare Picture

Figure 15. Retail Picture

Figure 16. Others Picture

Figure 17. Global Web Filtering Revenue (USD Million) and Growth Rate (2015-2025)

Figure 18. North America Web Filtering Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Europe Web Filtering Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Asia-Pacific Web Filtering Revenue (Million USD) and Growth Rate (2015-2025)

Figure 21. South America Web Filtering Revenue (Million USD) and Growth Rate (2015-2025)

Figure 22. Middle East and Africa Web Filtering Revenue (Million USD) and Growth Rate (2015-2025)

Figure 23. Global Web Filtering Revenue (Million USD) and Growth Rate (2015-2025)

Figure 24. Global Web Filtering Revenue Share by Players in 2019

Figure 25. Global Top 5 Players Web Filtering Revenue Market Share in 2019

Figure 26. Global Top 10 Players Web Filtering Revenue Market Share in 2019

Figure 27. Key Players Market Share Trend

Figure 28. Global Web Filtering Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 29. Global Web Filtering Revenue Market Share by Regions (2015-2020)

Figure 30. Global Web Filtering Revenue Market Share by Regions in 2018

Figure 31. North America Web Filtering Revenue and Growth Rate (2015-2020)

Figure 32. Europe Web Filtering Revenue and Growth Rate (2015-2020)

Figure 33. Asia-Pacific Web Filtering Revenue and Growth Rate (2015-2020)

Figure 34. South America Web Filtering Revenue and Growth Rate (2015-2020)

Figure 35. Middle East and Africa Web Filtering Revenue and Growth Rate (2015-2020)

Figure 36. North America Web Filtering Revenue Market Share by Countries (2015-2020)

Figure 37. North America Web Filtering Revenue Market Share by Countries in 2019

Figure 38. USA Web Filtering Revenue and Growth Rate (2015-2020)

Figure 39. Canada Web Filtering Revenue and Growth Rate (2015-2020)

Figure 40. Mexico Web Filtering Revenue and Growth Rate (2015-2020)

Figure 41. Europe Web Filtering Revenue Market Share by Countries (2015-2020)

Figure 42. Europe Web Filtering Revenue Market Share by Countries in 2019

Figure 43. Germany Web Filtering Revenue and Growth Rate (2015-2020)

Figure 44. UK Web Filtering Revenue and Growth Rate (2015-2020)

Figure 45. France Web Filtering Revenue and Growth Rate (2015-2020)

Figure 46. Russia Web Filtering Revenue and Growth Rate (2015-2020)

Figure 47. Italy Web Filtering Revenue and Growth Rate (2015-2020)

Figure 48. Asia-Pacific Web Filtering Revenue Market Share by Countries (2015-2020)

Figure 49. Asia-Pacific Web Filtering Revenue Market Share by Countries in 2019

Figure 50. China Web Filtering Revenue and Growth Rate (2015-2020)

Figure 51. Japan Web Filtering Revenue and Growth Rate (2015-2020)

Figure 52. Korea Web Filtering Revenue and Growth Rate (2015-2020)

Figure 53. India Web Filtering Revenue and Growth Rate (2015-2020)

Figure 54. Southeast Asia Web Filtering Revenue and Growth Rate (2015-2020)

Figure 55. South America Web Filtering Revenue Market Share by Countries (2015-2020)

Figure 56. South America Web Filtering Revenue Market Share by Countries in 2019

Figure 57. Brazil Web Filtering Revenue and Growth Rate (2015-2020)

Figure 58. Argentina Web Filtering Revenue and Growth Rate (2015-2020)

Figure 59. Middle East and Africa Web Filtering Revenue Market Share by Countries (2015-2020)

Figure 60. Middle East and Africa Web Filtering Revenue Market Share by Countries in 2019

Figure 61. Saudi Arabia Web Filtering Revenue and Growth Rate (2015-2020)

Figure 62. UAE Web Filtering Revenue and Growth Rate (2015-2020)

Figure 63. Egypt Web Filtering Revenue and Growth Rate (2015-2020)

Figure 64. South Africa Web Filtering Revenue and Growth Rate (2015-2020)

Figure 65. Global Web Filtering Revenue Share by Type (2015-2020)

Figure 66. Global Web Filtering Revenue Share by Type in 2019

Figure 67. Global Web Filtering Market Share Forecast by Type (2021-2025)

Figure 68. Global Domain Name System (DNS) Filtering Revenue Growth Rate (2015-2020)

Figure 69. Global Uniform Resource Locator (URL) Filtering Revenue Growth Rate (2015-2020)

Figure 70. Global Keyword Filtering Revenue Growth Rate (2015-2020)

Figure 71. Global File Type Filtering Revenue Growth Rate (2015-2020)

Figure 72. Global Others Revenue Growth Rate (2015-2020)

Figure 73. Global Web Filtering Revenue Share by Application (2015-2020)

Figure 74. Global Web Filtering Revenue Share by Application in 2019

Figure 75. Global Web Filtering Market Share Forecast by Application (2021-2025)

Figure 76. Global Government Revenue Growth Rate (2015-2020)

Figure 77. Global Banking, Financial Services, and Insurance (BFSI) Revenue Growth Rate (2015-2020)

Figure 78. Global Manufacturing Revenue Growth Rate (2015-2020)

Figure 79. Global IT and Telecom Revenue Growth Rate (2015-2020)

Figure 80. Global Education Revenue Growth Rate (2015-2020)

Figure 81. Global Healthcare Revenue Growth Rate (2015-2020)

Figure 82. Global Retail Revenue Growth Rate (2015-2020)

Figure 83. Global Others Revenue Growth Rate (2015-2020)

Figure 84. Global Web Filtering Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 85. Global Web Filtering Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 86. Global Web Filtering Revenue Market Share Forecast by Regions (2021-2025)

Figure 87. North America Web Filtering Revenue Market Forecast (2021-2025)

Figure 88. Europe Web Filtering Revenue Market Forecast (2021-2025)

Figure 89. Asia-Pacific Web Filtering Revenue Market Forecast (2021-2025)

Figure 90. South America Web Filtering Revenue Market Forecast (2021-2025)

Figure 91. Middle East and Africa Web Filtering Revenue Market Forecast (2021-2025)

Figure 92. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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