Favorable government regulations promoting tightened web security has been identified as the major factor driving adoption of web content filtering solutions among end-users. In addition, growing desire to better manage the network bandwidth consumption and defy cyber threats have further fueled market momentum. These factors are expected to contribute towards a compounded annual growth rate (CAGR) of 13.9% during the forecast period 2022 - 2030. However, implementing web content filtering solutions, sometimes, may limit the use of Internet for educational purpose. In addition, issues including high cost, installation complexities, and violation of rights have posed a significant challenge to the market growth. The web content filtering market is expected to cross US$ 10.8 Bn by 2030.
Restricting complete access to a particular website may sometimes deprive students, employees, or other surfers from gaining the requisite information. For instance, a person surfing for the information on vaginal cancer may be restricted from accessing websites which includes words that are blacklisted by the network administrator. As such, to avoid such situations, different filtering techniques have been developed over the years.
In 2021, URL filtering was the major web content filtering technique employed by business organizations and federal agencies, accounting for around one third of the global web content filtering market. With large amount of content being added every day to the World Wide Web, the resulting increase in the number of URLs is making list based filtering (URL Filtering) unsustainable. Over the forecast period, keyword and file type filtering are expected to witness healthy adoption. The growth in file type filtering technique can be attributed to the growing demand from business organizations, schools, and federal agencies. Owing to technical complexities involved and less security offered, Internet Protocol (IP) filtering and DNS (Domain Name System) filtering techniques are expected to exhibit slower growth over the forecast period 2022& 2030.
In terms of revenue, North America (comprising U.S., and Rest of North America) represented the largest web content filtering market, accounting for over one third of the global market revenue in 2021. The U.S. represents the largest and the most lucrative web content filter market worldwide. The dominance can be primarily attributed to the proactive government regulations in the country, promoting increased use of web content filtering solutions that ensure privacy of customer information held by business enterprises. Although North America is expected to remain the largest web content filtering market throughout the forecast period, Asia Pacific is expected to witness healthy growth, outpacing North America and Europe to grow at a CAGR of 15.1%. The anticipated growth in the region is expected to be spurred by the expansion of enterprise networking, improved investments for developing sophisticated IT infrastructure, and increasing adoption of web based technologies. India and China are collectively expected to offer lucrative opportunities for the market growth during the forecast period 2022 - 2030.
A web content filter is a software program that screens or restricts access to specific websites or dedicated sections of websites that are deemed offensive, inappropriate. Web content filters are increasingly deployed by business organization and federal agencies as Internet firewall systems. They are also by deployed by personal computer or mobile device owners, especially parents to restrict their children from getting access to the unwanted and objectionable content on the Internet.
The contracting end-user (business organizations, federal agencies, schools and institution, individual) constructs a database of keywords, IPs, and URLs, which if requested by any person denies the access to the same. End-users also create a set of rules to impose its Internet Access Policy (IAP) and deploy web content filtering solutions between the user browser and outside world.
When user requests a particular website, the web content filter installed retrieves the classification of the requested website from the constructed database. It also compares it with the set of rules created in the Internet Access Policy (IAP). These set of rules decide whether to allow or confine access to the requested website. If the keywords, IP, or URL requested matches with any from the set of blocked websites, an acknowledgement of access denial is sent back to the user. On the other hand, if set of rules in the Internet Access Policy (IAP) allows request, the connection is established and the address of the website requested is retrieved from the web server. The user gains access to the requested website and the activity is recorded in the activity log. Such reporting capabilities enable business organizations to keep track of the Internet traffic and individuals that are most active on the network.
Web content filters were first installed in libraries (late 1990s) in compliance with the Children's Internet Protection Act (CIPA) in the U.S. The libraries deploying web content filters soon realized benefits, enabling them to address some of the major challenges. Web content filters allowed libraries to provide access to only dedicated websites, thereby preventing children and readers from bumping into unwanted websites and advertisements. Web content filtering solutions were initially considered as only an add-on or complimentary security solutions. However, within few years of introduction, these solutions have become an integral component of businesses and organizations realizing web consumption policies.
With the advent of technology, web filtering solutions have advanced to become more flexible and scalable solutions capable of addressing sophisticated security issues of the networked business world. Today, web content filters provide finer grained classification and more secured architecture. In addition, web content filters have become superior at evaluating the content and offer easy installation. Security solution providers across the globe are focusing on developing multi-featured solutions that besides web content filtering function can also function as firewalls, intrusion prevention solutions, and antivirus solutions among others. In addition, functionalities including logging, auditing, proxy, and data loss protection are slowly finding their way into web-security solutions.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
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End-use Segmentation Analysis
A web content filter refers to a software program designed to control the content delivered over the internet through either web or e-mail, thereby offering access to only specific content on the internet. Growing corporate concerns over data privacy, employee productivity, and legal liabilities have collectively fueled adoption of web security solutions among business organizations. Their capability to offer network security by restricting access to virus prone or malicious content loaded websites have further ensured greater adoption of web content filtering solutions among enterprise users. As such, web content filtering solutions have become an integral component of business organizations. In 2021, business organization segment was the largest contributor to the web content filtering market, accounting for over 35% of the global market revenue. Although the segment is expected to remain the major end-use market, schools and institution segment is poised to witness maximum growth over the forecast period from 2022 to 2030. In order to confine students from getting access to non-curriculum related information and better manage the designated bandwidth consumption, schools and institutions across the globe are increasingly deploying web content filtering solutions on a wider scale.Restricting complete access to a particular website may sometimes deprive students, employees, or other surfers from gaining the requisite information. For instance, a person surfing for the information on vaginal cancer may be restricted from accessing websites which includes words that are blacklisted by the network administrator. As such, to avoid such situations, different filtering techniques have been developed over the years.
In 2021, URL filtering was the major web content filtering technique employed by business organizations and federal agencies, accounting for around one third of the global web content filtering market. With large amount of content being added every day to the World Wide Web, the resulting increase in the number of URLs is making list based filtering (URL Filtering) unsustainable. Over the forecast period, keyword and file type filtering are expected to witness healthy adoption. The growth in file type filtering technique can be attributed to the growing demand from business organizations, schools, and federal agencies. Owing to technical complexities involved and less security offered, Internet Protocol (IP) filtering and DNS (Domain Name System) filtering techniques are expected to exhibit slower growth over the forecast period 2022& 2030.
In terms of revenue, North America (comprising U.S., and Rest of North America) represented the largest web content filtering market, accounting for over one third of the global market revenue in 2021. The U.S. represents the largest and the most lucrative web content filter market worldwide. The dominance can be primarily attributed to the proactive government regulations in the country, promoting increased use of web content filtering solutions that ensure privacy of customer information held by business enterprises. Although North America is expected to remain the largest web content filtering market throughout the forecast period, Asia Pacific is expected to witness healthy growth, outpacing North America and Europe to grow at a CAGR of 15.1%. The anticipated growth in the region is expected to be spurred by the expansion of enterprise networking, improved investments for developing sophisticated IT infrastructure, and increasing adoption of web based technologies. India and China are collectively expected to offer lucrative opportunities for the market growth during the forecast period 2022 - 2030.
A web content filter is a software program that screens or restricts access to specific websites or dedicated sections of websites that are deemed offensive, inappropriate. Web content filters are increasingly deployed by business organization and federal agencies as Internet firewall systems. They are also by deployed by personal computer or mobile device owners, especially parents to restrict their children from getting access to the unwanted and objectionable content on the Internet.
The contracting end-user (business organizations, federal agencies, schools and institution, individual) constructs a database of keywords, IPs, and URLs, which if requested by any person denies the access to the same. End-users also create a set of rules to impose its Internet Access Policy (IAP) and deploy web content filtering solutions between the user browser and outside world.
When user requests a particular website, the web content filter installed retrieves the classification of the requested website from the constructed database. It also compares it with the set of rules created in the Internet Access Policy (IAP). These set of rules decide whether to allow or confine access to the requested website. If the keywords, IP, or URL requested matches with any from the set of blocked websites, an acknowledgement of access denial is sent back to the user. On the other hand, if set of rules in the Internet Access Policy (IAP) allows request, the connection is established and the address of the website requested is retrieved from the web server. The user gains access to the requested website and the activity is recorded in the activity log. Such reporting capabilities enable business organizations to keep track of the Internet traffic and individuals that are most active on the network.
Web content filters were first installed in libraries (late 1990s) in compliance with the Children's Internet Protection Act (CIPA) in the U.S. The libraries deploying web content filters soon realized benefits, enabling them to address some of the major challenges. Web content filters allowed libraries to provide access to only dedicated websites, thereby preventing children and readers from bumping into unwanted websites and advertisements. Web content filtering solutions were initially considered as only an add-on or complimentary security solutions. However, within few years of introduction, these solutions have become an integral component of businesses and organizations realizing web consumption policies.
With the advent of technology, web filtering solutions have advanced to become more flexible and scalable solutions capable of addressing sophisticated security issues of the networked business world. Today, web content filters provide finer grained classification and more secured architecture. In addition, web content filters have become superior at evaluating the content and offer easy installation. Security solution providers across the globe are focusing on developing multi-featured solutions that besides web content filtering function can also function as firewalls, intrusion prevention solutions, and antivirus solutions among others. In addition, functionalities including logging, auditing, proxy, and data loss protection are slowly finding their way into web-security solutions.
Historical - Forecast Period
This study report represents analysis of each segment from 2020 to 2030 considering 2021 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2022 to 2030.The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Web Content Filtering market are as follows:- Research and development budgets of manufacturers and government spending
- Revenues of key companies in the market segment
- Number of end users and consumption volume, price and value.
- Geographical revenues generate by countries considered in the report
- Micro and macro environment factors that are currently influencing the Web Content Filtering market and their expected impact during the forecast period.
Key questions answered in this report
- What are the key micro and macro environmental factors that are impacting the growth of Web Content Filtering market?
- What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
- Estimated forecast and market projections up to 2030.
- Which segment accounts for the fastest CAGR during the forecast period?
- Which market segment holds a larger market share and why?
- Are low and middle-income economies investing in the Web Content Filtering market?
- Which is the largest regional market for Web Content Filtering market?
- What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East - Africa?
- Which are the key trends driving Web Content Filtering market growth?
- Who are the key competitors and what are their key strategies to enhance their market presence in the Web Content Filtering market worldwide?
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Table of Contents
1. Preface1.1. Report Description
1.1.1. Purpose of the Report
1.1.2. Target Audience
1.1.3. Key Offerings
1.2. Market Segmentation
1.3. Research Methodology
1.3.1. Phase I - Secondary Research
1.3.2. Phase II - Primary Research
1.3.3. Phase III - Expert Panel Review
1.3.4. Assumptions
1.3.5. Approach Adopted
2. Executive Summary
2.1. Market Snapshot: Global Web Content Filtering Market
2.2. Global Web Content Filtering Market, By Filtering Technique, 2021 (US$ Million)
2.3. Global Web Content Filtering Market, By End-use Application, 2021 (US$ Million)
2.4. Global Web Content Filtering Market, By Geography, 2021 (US$ Million)
2.5. Impact of Covid 19
2.6. Attractive Investment Proposition by Geography, 2021
2.7. Competitive Analysis
2.7.1. Market Positioning of Key Web Content Filtering Market Vendors
2.7.2. Strategies Adopted by Web Content Filtering Market Vendors
2.7.3. Key Industry Strategies
2.7.4. Tier Analysis 2021 Versus 2030
2.8. Key Buying Criteria
2.9. Key Case Reports
2.10. Scenario Analysis
2.10.1. Optimistic estimates and analysis
2.10.2. Realistic estimates and analysis
2.10.3. Pessimistic estimates and analysis
2.11. Market Profiling
2.12. Sales and Marketing Plan
2.13. Top Market Conclusions
2.14. Strategic Recommendations
3. Web Content Filtering Market: Business Outlook & Market Dynamics
3.1. Introduction
3.2. Global Web Content Filtering Market Value, 2020 - 2030, (US$ Million)
3.3. Market Dynamics
3.3.1. Market Drivers
3.3.2. Market Restraints
3.3.3. Key Challenges
3.3.4. Key Opportunities
3.4. Impact Analysis of Drivers and Restraints
3.5. See-Saw Analysis
3.6. Porter’s Five Force Model
3.6.1. Supplier Power
3.6.2. Buyer Power
3.6.3. Threat Of Substitutes
3.6.4. Threat Of New Entrants
3.6.5. Competitive Rivalry
3.7. PESTEL Analysis
3.7.1. Political Landscape
3.7.2. Economic Landscape
3.7.3. Technology Landscape
3.7.4. Legal Landscape
3.7.5. Social Landscape
3.8. Heptalysis Analysis
3.9. Critical Investigation of Business Problems Through Five Whys Root Cause Analysis & Relevant Solutions
4. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
4.1. Market Overview
4.2. Growth & Revenue Analysis: 2021 Versus 2030
4.3. Market Segmentation
4.3.1. URL Filtering
4.3.2. IP Filtering
4.3.3. DNS (Domain Name System) Filtering
4.3.4. Keyword Filtering
4.3.5. File Type Filtering
4.3.6. Other Filtering Techniques (Image Filtering, Profile Filtering, etc.)5. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
5.1. Market Overview
5.2. Growth & Revenue Analysis: 2021 Versus 2030
5.3. Market Segmentation
5.3.1. Business Organizations
5.3.2. Schools and Institution
5.3.3. Government and Federal Agencies
5.3.4. Other End-users (Personal Laptops, Mobile Phones, etc.)
6. North America Web Content Filtering Market, 2020-2030, USD (Million)
6.1. Market Overview
6.2. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
6.3. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
6.4. Web Content Filtering Market: By Region, 2020-2030, USD (Million)
6.4.1. North America
6.4.1.1. U.S.
6.4.1.1.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
6.4.1.1.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
6.4.1.2. Canada
6.4.1.2.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
6.4.1.2.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
6.4.1.3. Rest of North America
6.4.1.3.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
6.4.1.3.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7. UK and European Union Web Content Filtering Market, 2020-2030, USD (Million)
7.1. Market Overview
7.2. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.3. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7.4. Web Content Filtering Market: By Region, 2020-2030, USD (Million)
7.4.1. UK and European Union
7.4.1.1. UK
7.4.1.1.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.4.1.1.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7.4.1.2. Germany
7.4.1.2.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.4.1.2.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7.4.1.3. Spain
7.4.1.3.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.4.1.3.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7.4.1.4. Italy
7.4.1.4.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.4.1.4.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7.4.1.5. France
7.4.1.5.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.4.1.5.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
7.4.1.6. Rest of Europe
7.4.1.6.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
7.4.1.6.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8. Asia Pacific Web Content Filtering Market, 2020-2030, USD (Million)
8.1. Market Overview
8.2. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.3. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8.4. Web Content Filtering Market: By Region, 2020-2030, USD (Million)
8.4.1. Asia Pacific
8.4.1.1. China
8.4.1.1.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.4.1.1.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8.4.1.2. Japan
8.4.1.2.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.4.1.2.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8.4.1.3. India
8.4.1.3.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.4.1.3.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8.4.1.4. Australia
8.4.1.4.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.4.1.4.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8.4.1.5. South Korea
8.4.1.5.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.4.1.5.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
8.4.1.6. Rest of Asia Pacific
8.4.1.6.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
8.4.1.6.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
9. Latin America Web Content Filtering Market, 2020-2030, USD (Million)
9.1. Market Overview
9.2. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
9.3. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
9.4. Web Content Filtering Market: By Region, 2020-2030, USD (Million)
9.4.1. Latin America
9.4.1.1. Brazil
9.4.1.1.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
9.4.1.1.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
9.4.1.2. Mexico
9.4.1.2.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
9.4.1.2.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
9.4.1.3. Rest of Latin America
9.4.1.3.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
9.4.1.3.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
10. Middle East and Africa Web Content Filtering Market, 2020-2030, USD (Million)
10.1. Market Overview
10.2. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
10.3. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
10.4. Web Content Filtering Market: By Region, 2020-2030, USD (Million)
10.4.1. Middle East and Africa
10.4.1.1. GCC
10.4.1.1.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
10.4.1.1.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
10.4.1.2. Africa
10.4.1.2.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
10.4.1.2.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
10.4.1.3. Rest of Middle East and Africa
10.4.1.3.1. Web Content Filtering Market: By Filtering Technique, 2020-2030, USD (Million)
10.4.1.3.2. Web Content Filtering Market: By End-use Application, 2020-2030, USD (Million)
11. Company Profile
11.1. Blue Coat Systems, Inc.
11.1.1. Company Overview
11.1.2. Financial Performance
11.1.3. Product Portfolio
11.1.4. Strategic Initiatives
11.2. Websense, Inc. (Forcepoint, LLC)
11.2.1. Company Overview
11.2.2. Financial Performance
11.2.3. Product Portfolio
11.2.4. Strategic Initiatives
11.3. McAfee, Inc.
11.3.1. Company Overview
11.3.2. Financial Performance
11.3.3. Product Portfolio
11.3.4. Strategic Initiatives
11.4. Symantec Corporation
11.4.1. Company Overview
11.4.2. Financial Performance
11.4.3. Product Portfolio
11.4.4. Strategic Initiatives
11.5. Cisco Systems, Inc.
11.5.1. Company Overview
11.5.2. Financial Performance
11.5.3. Product Portfolio
11.5.4. Strategic Initiatives
11.6. Trend Micro, Inc.
11.6.1. Company Overview
11.6.2. Financial Performance
11.6.3. Product Portfolio
11.6.4. Strategic Initiatives
11.7. ContentKeeper Technologies Pty Ltd.
11.7.1. Company Overview
11.7.2. Financial Performance
11.7.3. Product Portfolio
11.7.4. Strategic Initiatives
11.8. Barracuda Networks, Inc.
11.8.1. Company Overview
11.8.2. Financial Performance
11.8.3. Product Portfolio
11.8.4. Strategic Initiatives
11.9. Palo Alto Networks, Inc.
11.9.1. Company Overview
11.9.2. Financial Performance
11.9.3. Product Portfolio
11.9.4. Strategic Initiatives
11.10. Bloxx Ltd.
11.10.1. Company Overview
11.10.2. Financial Performance
11.10.3. Product Portfolio
11.10.4. Strategic Initiatives
11.11. Zscaler, Inc.
11.11.1. Company Overview
11.11.2. Financial Performance
11.11.3. Product Portfolio
11.11.4. Strategic Initiatives
11.12. Kaspersky Lab
11.12.1. Company Overview
11.12.2. Financial Performance
11.12.3. Product Portfolio
11.12.4. Strategic Initiatives
List of Figures
Figure 1 Global Web Content Filtering Market: Market Coverage
Figure 2 Research Methodology and Data Sources
Figure 3 Market Size Estimation - Top Down & Bottom-Up Approach
Figure 4 Global Web Content Filtering Market: Quality Assurance
Figure 5 Global Web Content Filtering Market, By Filtering Technique, 2021
Figure 6 Global Web Content Filtering Market, By End-use Application, 2021
Figure 7 Global Web Content Filtering Market, By Geography, 2021
Figure 8 Market Geographical Opportunity Matrix - Global Web Content Filtering Market, 2021
Figure 9 Market Positioning of Key Web Content Filtering Market Players, 2021
Figure 10 Global Web Content Filtering Market - Tier Analysis - Percentage of Revenues by Tier Level, 2021 Versus 2030
Figure 11 Porters Five Force Model - Current, Midterm and Long Term Perspective
Figure 12 See Saw Analysis
Figure 13 PETEL Analysis
Figure 14 Key Buying Criteria: Current and Long-Term Perspective
Figure 15 Global Web Content Filtering Market, Scenario Analysis, 2020 to 2030 (US$ Million)
Figure 16 Heptalysis Analysis: Global Web Content Filtering Market
Figure 17 Five Whys Analysis
Figure 18 Global Web Content Filtering Market, By Filtering Technique, 2021 Vs 2030, %
Figure 19 Global Web Content Filtering Market, By End-use Application, 2021 Vs 2030, %
Figure 20 U.S. Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 21 Canada Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 22 Rest of North America Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 23 UK Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 24 Germany Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 25 Spain Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 26 Italy Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 27 France Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 28 Rest of Europe Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 29 China Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 30 Japan Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 31 India Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 32 Australia Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 33 South Korea Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 34 Rest of Asia Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 35 Brazil Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 36 Mexico Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 37 Rest of Latin America Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 38 GCC Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 39 Africa Web Content Filtering Market (US$ Million), 2020 - 2030
Figure 40 Rest of Middle East and Africa Web Content Filtering Market (US$ Million), 2020 - 2030List of Tables
Table 1 Global Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 2 Global Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 3 North America Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 4 North America Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 5 U.S. Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 6 U.S. Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 7 Canada Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 8 Canada Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 9 Rest of North America Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 10 Rest of North America Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 11 UK and European Union Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 12 UK and European Union Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 13 UK Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 14 UK Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 15 Germany Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 16 Germany Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 17 Spain Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 18 Spain Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 19 Italy Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 20 Italy Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 21 France Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 22 France Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 23 Rest of Europe Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 24 Rest of Europe Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 25 Asia Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 26 Asia Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 27 China Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 28 China Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 29 Japan Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 30 Japan Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 31 India Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 32 India Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 33 Australia Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 34 Australia Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 35 South Korea Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 36 South Korea Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 37 Latin America Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 38 Latin America Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 39 Brazil Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 40 Brazil Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 41 Mexico Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 42 Mexico Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 43 Rest of Latin America Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 44 Rest of Latin America Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 45 Middle East and Africa Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 46 Middle East and Africa Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 47 GCC Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 48 GCC Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 49 Africa Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 50 Africa Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Table 51 Rest of Middle East and Africa Web Content Filtering Market By Filtering Technique, 2020-2030, USD (Million)
Table 52 Rest of Middle East and Africa Web Content Filtering Market By End-use Application, 2020-2030, USD (Million)
Companies Mentioned
- Blue Coat Systems Inc.
- Websense Inc. (Forcepoint LLC)
- McAfee Inc.
- Symantec Corporation
- Cisco Systems Inc.
- Trend Micro Inc.
- ContentKeeper Technologies Pty Ltd.
- Barracuda Networks Inc.
- Palo Alto Networks Inc.
- Bloxx Ltd.
- Zscaler Inc.
- Kaspersky Lab
