Web Content Filtering Market

Market Insights

Favorable government regulations promoting tightened web security have been identified as the major factor driving the adoption of web content filtering solutions among end-users. In addition, the growing desire to better manage network bandwidth consumption and defy cyber threats has further fueled market momentum. These factors are expected to contribute toward a compounded annual growth rate (CAGR) of 13.9% during 2022 – 2028. However, implementing web content filtering solutions may sometimes limit the use of the Internet for educational purposes. 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 Valued At US$ 3.8 Bn In 2028 And Is Projected To Reach US$ 9.45 Bn By 2028 Growing At A CAGR Of 13.9%.

Target Audience

• Industry Investors
• Software Developers
• Security Solution Providers
• Business Organizations
• Government and Federal Agencies
• Other End-users

Restricting complete access to a particular website may sometimes deprive students, employees, or other surfers of gaining the requisite information. For instance, a person surfing for information on vaginal cancer may be restricted from accessing websites that include words that are blacklisted by the network administrator. As such, to avoid such situations, different filtering techniques have been developed over the years.

Based on filtering techniques, the global web content filtering market is segmented into the following categories

• URL Filtering
• IP Filtering
• DNS Filtering
• Keyword Filtering
• File Type Filtering
• Others (Image Filtering, etc.)

In 2014, 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 a 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 is expected to witness healthy adoption. The growth in file-type filtering techniques 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 – 2028.

End-use Segmentation Analysis

On the basis of end-use, the web content filtering market is categorized into the following segments:

• Business Organizations
• Schools and Institutions
• Federal and Government Agencies
• Others (Personal Laptops, Mobile Phones, etc.)

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 the 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 has 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 2014, the 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, the schools and institution segment is poised to witness maximum growth over the forecast period from 2022 to 2028. 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.

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 or inappropriate. Web content filters are increasingly deployed by business organizations and federal agencies as Internet firewall systems. They are also deployed by a personal computer or mobile device owners, especially parents, to restrict their children from getting access to unwanted and objectionable content on the Internet.

The contracting end-user (business organizations, federal agencies, schools and institutions, individuals) constructs a database of keywords, IPs, and URLs, which, if requested by any person, denies access to the same. End-users also create a set of rules to impose their Internet Access Policy (IAP) and deploy web content filtering solutions between the user browser and the outside world.

When a 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). This set of rules decides 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 acknowledgment of access denial is sent back to the user. On the other hand, if a set of rules in the Internet Access Policy (IAP) allows a 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 (in the 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 complementary security solution. However, within a 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 a 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 functions, 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.

On the basis of geography, the global web content filtering market is segmented into the following regions and countries.

• • • North America
      • U.S.
      • Canada
    • Europe
      • Germany
      • France
      • Italy
      • U.K.
      • Russia
      • Rest of Europe
    • Asia-Pacific
      • India
      • China
      • Japan
      • Rest of Asia-Pacific
    • Latin America
      • Brazil
      • Mexico
      • Rest of Latin America
    • Middle East and Africa
      • GCC Countries
      • South Africa
      • Rest of Middle East and Africa

In terms of revenue, North America (comprising the U.S. and the 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 the 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 market growth during the forecast period 2022 – 2028.

Chapter 1 Preface
1.1 Report Description
1.1.1 Purpose of the Report
1.1.2 Target Audience
1.1.3 USP and Key Offerings
1.2 Research Scope
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

Chapter 2 Executive Summary
2.1 Market Snapshot: Global Web Content Filtering Market
2.2 Global Web Content Filtering Market, By Filtering Technique, 2021 (US$ Mn)
2.3 Global Web Content Filtering Market, By End-use Application, 2021 (US$ Mn)
2.4 Global Web Content Filtering Market, By Geography

Chapter 3 Market Dynamics
3.1 Introduction
3.1.1 Global Web Content Filtering Market Revenue and Growth, 2020 – 2028, (US$ Mn) (Y-o-Y %)
3.2 Key Inclination Insights
3.3 Market Drivers
3.3.1 Growing Concerns of Organizations and Agencies over Data Security and Employee Productivity
3.3.2 Growing Desire of Organizations to Curb Bandwidth Consumption
3.3.3 Government Legislations and Policies to Support Market Growth
3.4 Market Growth Inhibitors
3.4.1 Restricted use for Educational Purpose
3.4.2 High Cost and Installation Complexities
3.5 See-Saw Analysis
3.5.1 Impact Analysis of Drivers and Restraints
3.6 Porters Five Force Analysis
3.6.1 Bargaining Power of Suppliers
3.6.2 Bargaining Power of Buyers
3.6.3 Threat of Substitute Products
3.6.4 Degree of Competition
3.7 Attractive Investment Proposition
3.8 Competitive Landscape
3.8.1 Market Positioning of Key Vendors

Chapter 4 Global Web Content Filtering Market Analysis, By Filtering Technique
4.1 Market Overview
4.1.1 Global Web Content Filtering Market Revenue, By Deployment, 2021 & 2028 (US$ Mn)
4.2 URL Filtering
4.2.1 Global URL Filtering Market Revenue and Growth, 2020 – 2028, (US$ Mn)
4.3 IP Filtering
4.3.1 IP Filtering Market Revenue and Growth, 2020 – 2028, (US$ Mn)
4.4 DNS (Domain Name System) Filtering
4.4.1 Global DNS Filtering Market Revenue and Growth, 2020 – 2028, (US$ Mn)
4.5 Keyword Filtering
4.5.1 Global Keyword Filtering Market Revenue and Growth, 2020 – 2028, (US$ Mn)
4.6 File Type Filtering
4.6.1 Global File Type Filtering Market Revenue and Growth, 2020 – 2028, (US$ Mn)
4.7 Other Filtering Techniques (Image Filtering, Profile Filtering, etc.)
4.7.1 Global Other Web Content Filtering Techniques Market Revenue and Growth, 2020 – 2028, (US$ Mn) (Y-o-Y %)

Chapter 5 Global Web Content Filtering Market Analysis, By End-use Application
5.1 Market Analysis
5.1.1 Global Web Content Filtering Market Revenue, By End-Use Application, 2021 & 2028 (% Value)
5.2 Business Organizations
5.2.1 Global Web Content Filtering Market Revenue and Growth for Business Organizations, 2020 – 2028, (US$ Mn) (Y-o-Y %)
5.3 Schools and Institution
5.3.1 Global Web Content Filtering Market Revenue and Growth for School and Institution, 2020 – 2028, (US$ Mn) (Y-o-Y %)
5.4 Government and Federal Agencies
5.4.1 Global Web Content Filtering Market Revenue and Growth for Government and Federal Agencies, 2020 – 2028, (US$ Mn) (Y-o-Y %)
5.5 Other End-users (Personal Laptops, Mobile Phones, etc.)
5.5.1 Global Web Content Filtering Market Revenue and Growth for Other End-users, 2020 – 2028, (US$ Mn) (Y-o-Y %)

Chapter 6 North AmericaWeb Content Filtering Market Analysis
6.1 Overview
6.1.1 North America Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
6.2 North AmericaWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
6.2.1 SRC Analysis
6.3 North AmericaWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
6.3.1 SRC Analysis
6.4 North AmericaWeb Content Filtering Market Analysis, By Region, 2020 – 2028 (US$ Mn)
6.4.1 SRC Analysis
6.4.2 U.S.
6.4.2.1 U.S. Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
6.4.2.2 U.S.Web Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
6.4.2.3 U.S.Web Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
6.4.3 Rest of North America
6.4.3.1 Rest of North America Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
6.4.3.2 Rest of North AmericaWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
6.4.3.3 Rest of North AmericaWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)

Chapter 7 EuropeWeb Content Filtering Market Analysis
7.1 Overview
7.1.1 Europe Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
7.2 EuropeWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
7.2.1 SRC Analysis
7.3 EuropeWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
7.3.1 SRC Analysis
7.4 EuropeWeb Content Filtering Market Analysis, By Region, 2020 – 2028 (US$ Mn)
7.4.1 SRC Analysis
7.4.2 U.K.
7.4.2.1 U.K. Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
7.4.2.2 U.K.Web Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
7.4.2.3 U.K.Web Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
7.4.3 France
7.4.3.1 France Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
7.4.3.2 FranceWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
7.4.3.3 FranceWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
7.4.4 Germany
7.4.4.1 Germany Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
7.4.4.2 GermanyWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
7.4.4.3 GermanyWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
7.4.5 Rest of Europe
7.4.5.1 Rest of Europe Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
7.4.5.2 Rest of EuropeWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
7.4.5.3 Rest of EuropeWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)

Chapter 8 Asia Pacific Web Content Filtering Market Analysis
8.1 Overview
8.1.1 Asia Pacific Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
8.2 Asia PacificWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
8.2.1 SRC Analysis
8.3 Asia PacificWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
8.3.1 SRC Analysis
8.4 Asia PacificWeb Content Filtering Market Analysis, By Region, 2020 – 2028 (US$ Mn)
8.4.1 SRC Analysis
8.4.2 Japan
8.4.2.1 Japan Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
8.4.2.2 Japan Web Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
8.4.2.3 Japan Web Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
8.4.3 China
8.4.3.1 China Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
8.4.3.2 China Web Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
8.4.3.3 ChinaWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
8.4.4 Indian Subcontinent
8.4.4.1 Indian Subcontinent Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
8.4.4.2 Indian SubcontinentWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
8.4.4.3 Indian SubcontinentWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
8.4.5 Rest of Asia Pacific
8.4.5.1 Rest of Asia Pacific Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
8.4.5.2 Rest of Asia PacificWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
8.4.5.3 Rest of Asia PacificWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)

Chapter 9 Rest of the World Web Content Filtering Market Analysis
9.1 Overview
9.1.1 Rest of the World Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
9.2 RoWWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
9.2.1 SRC Analysis
9.3 RoWWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
9.3.1 SRC Analysis
9.4 RoW Web Content FilteringMarket Analysis, By Region, 2020 – 2028 (US$ Mn)
9.4.1 SRC Analysis
9.4.2 Latin America
9.4.2.1 Latin America Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
9.4.2.2 Latin AmericaWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
9.4.2.3 Latin AmericaWeb Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)
9.4.3 Middle East & Africa (MEA)
9.4.3.1 MEA Web Content Filtering Market Revenue, 2020 – 2028, (US$ Mn)
9.4.3.2 MEAWeb Content Filtering Market Analysis, By Filtering Technique, 2020 – 2028 (US$ Mn)
9.4.3.3 MEA Web Content Filtering Market Analysis, By End-user, 2020 – 2028 (US$ Mn)

Chapter 10 Company Profiles
10.1 Blue Coat Systems, Inc.
10.1.1 Blue Coat Systems, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.2 Websense, Inc. (Forcepoint, LLC)
10.2.1 Websense, Inc. (Forcepoint, LLC): Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.3 McAfee, Inc.
10.3.1 McAfee, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.4 Symantec Corporation
10.4.1 Symantec Corporation: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.5 Cisco Systems, Inc.
10.5.1 Cisco Systems, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.6 Trend Micro, Inc.
10.6.1 Trend Micro, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.7 ContentKeeper Technologies Pty Ltd.
10.7.1 ContentKeeper Technologies Pty Ltd.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.8 Barracuda Networks, Inc.
10.8.1 Barracuda Networks, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.9 Palo Alto Networks, Inc.
10.9.1 Palo Alto Networks, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.10 Bloxx Ltd.
10.10.1 Bloxx Ltd.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.11 Zscaler, Inc.
10.11.1 Zscaler, Inc.: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)
10.12 Kaspersky Lab
10.12.1 Kaspersky Lab: Company Snapshot (Company Details, Geographical Presence, Competitors, Key Solutions, SCOT Analysis, Recent Developments)