Content Moderation Automation

Content Moderation Automation Comprehensive Study by Type (Software, Solution), Application (Social Media, Ecommerce retailer), Enterprise Size (Small and Medium Enterprise, Large Enterprise), Technology (Digital Hash Technology, Image Recognition, Metadata Filtering, Natural Language Processing) Players and Region - Global Market Outlook to 2027

Content Moderation Automation Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Content Moderation Automation Market Scope
The process of filtering and monitoring user-generated content on the internet is known as content moderation. Platforms must control content to ensure that it adheres to pre-established norms of acceptable behavior that are relevant to the platform and its audience to provide a safe environment for both users and brands. A team of content moderation automation would ensure that nothing inappropriate or distressing made its way into the website. The steady stream of unacceptable content on the Internet necessitates the development of effective content moderation solutions to discourage hate speech and the spread of violence that is fouling the online community.

The Content Moderation Automation market study is segmented by Type (Software and Solution), by Application (Social Media and Ecommerce retailer) and major geographies with country level break-up.

Mergers and acquisitions, expansions, investments, new service launches, and collaborations are among the companies' favored techniques for exploring the market. To get a competitive advantage through synergy, players are growing and acquiring businesses in new geographies. The content moderation automation market is highly fragmented due to the numerous solutions offered and a large number of organizations in the market. As a result, being innovative in the market is critical, as customers prefer products with the most up-to-date features. The capital expenditure is likewise significant, allowing enterprises with strong competitive strategies to advance quickly.

Viafoura (Canada), TaskUs (United States), Besedo (Sweden), Cogito (Boston), Microsoft Azure (Washington), Open Access BPO (United States), Appen (Australia), Magellan Solutions (Philippines), Webhelp (Paris) and Clarifai (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Pactera (China), OneSpace (Illinois), Two Hat (Canada), Lionbridge AI (United States), LiveWorld (United States), Arvato (Germany), Accenture (Ireland) and Genpact (United States).

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

Segmentation Overview
AMA Research has segmented the market of Global Content Moderation Automation market by Type, Application and Region.

On the basis of geography, the market of Content Moderation Automation has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

In June 2020, ElevenPaths, Telefó ca is a provider of integrated and automated Content Moderation solutions, have announced the expansion of their partnership to provide new managed security services for industrial sector customers, allowing them to provide advanced security for their operation technology (OT), information technology (IT), and Internet of Things (IoT) environments.


Market Drivers
  • Significant Growth in Digital Platform
  • Increasing productivity is expected to drive the growth of the global Content Moderation Automation market

Opportunities
  • The use of cloud-based SaaS content management systems is becoming more common
  • The rise in Innovations of Multiplatform Solutions can create an opportunity

Restraints
  • Stringent government regulator hampering the market growth

Challenges
  • Language transformation and localization of content


Key Target Audience
Content Moderation Automation developers, Research institutes, and consultancy firms, Regulating authorities, and policymakers, Government bodies and industry associates, Research Agency and Investors and R&D Department

Report Objectives / Segmentation Covered

By Type
  • Software
  • Solution
By Application
  • Social Media
  • Ecommerce retailer
By Enterprise Size
  • Small and Medium Enterprise
  • Large Enterprise

By Technology
  • Digital Hash Technology
  • Image Recognition
  • Metadata Filtering
  • Natural Language Processing

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Significant Growth in Digital Platform
      • 3.2.2. Increasing productivity is expected to drive the growth of the global Content Moderation Automation market
    • 3.3. Market Challenges
      • 3.3.1. Language transformation and localization of content
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Content Moderation Automation, by Type, Application, Enterprise Size, Technology and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Content Moderation Automation (Value)
      • 5.2.1. Global Content Moderation Automation by: Type (Value)
        • 5.2.1.1. Software
        • 5.2.1.2. Solution
      • 5.2.2. Global Content Moderation Automation by: Application (Value)
        • 5.2.2.1. Social Media
        • 5.2.2.2. Ecommerce retailer
      • 5.2.3. Global Content Moderation Automation by: Enterprise Size (Value)
        • 5.2.3.1. Small and Medium Enterprise
        • 5.2.3.2. Large Enterprise
      • 5.2.4. Global Content Moderation Automation by: Technology (Value)
        • 5.2.4.1. Digital Hash Technology
        • 5.2.4.2. Image Recognition
        • 5.2.4.3. Metadata Filtering
        • 5.2.4.4. Natural Language Processing
      • 5.2.5. Global Content Moderation Automation Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Content Moderation Automation (Price)
      • 5.3.1. Global Content Moderation Automation by: Type (Price)
  • 6. Content Moderation Automation: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Viafoura (Canada)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. TaskUs (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Besedo (Sweden)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Cogito (Boston)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Microsoft Azure (Washington)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Open Access BPO (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Appen (Australia)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Magellan Solutions (Philippines)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Webhelp (Paris)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Clarifai (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Content Moderation Automation Sale, by Type, Application, Enterprise Size, Technology and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Content Moderation Automation (Value)
      • 7.2.1. Global Content Moderation Automation by: Type (Value)
        • 7.2.1.1. Software
        • 7.2.1.2. Solution
      • 7.2.2. Global Content Moderation Automation by: Application (Value)
        • 7.2.2.1. Social Media
        • 7.2.2.2. Ecommerce retailer
      • 7.2.3. Global Content Moderation Automation by: Enterprise Size (Value)
        • 7.2.3.1. Small and Medium Enterprise
        • 7.2.3.2. Large Enterprise
      • 7.2.4. Global Content Moderation Automation by: Technology (Value)
        • 7.2.4.1. Digital Hash Technology
        • 7.2.4.2. Image Recognition
        • 7.2.4.3. Metadata Filtering
        • 7.2.4.4. Natural Language Processing
      • 7.2.5. Global Content Moderation Automation Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Content Moderation Automation (Price)
      • 7.3.1. Global Content Moderation Automation by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Content Moderation Automation: by Type(USD Million)
  • Table 2. Content Moderation Automation Software , by Region USD Million (2016-2021)
  • Table 3. Content Moderation Automation Solution , by Region USD Million (2016-2021)
  • Table 4. Content Moderation Automation: by Application(USD Million)
  • Table 5. Content Moderation Automation Social Media , by Region USD Million (2016-2021)
  • Table 6. Content Moderation Automation Ecommerce retailer , by Region USD Million (2016-2021)
  • Table 7. Content Moderation Automation: by Enterprise Size(USD Million)
  • Table 8. Content Moderation Automation Small and Medium Enterprise , by Region USD Million (2016-2021)
  • Table 9. Content Moderation Automation Large Enterprise , by Region USD Million (2016-2021)
  • Table 10. Content Moderation Automation: by Technology(USD Million)
  • Table 11. Content Moderation Automation Digital Hash Technology , by Region USD Million (2016-2021)
  • Table 12. Content Moderation Automation Image Recognition , by Region USD Million (2016-2021)
  • Table 13. Content Moderation Automation Metadata Filtering , by Region USD Million (2016-2021)
  • Table 14. Content Moderation Automation Natural Language Processing , by Region USD Million (2016-2021)
  • Table 15. South America Content Moderation Automation, by Country USD Million (2016-2021)
  • Table 16. South America Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 17. South America Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 18. South America Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 19. South America Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 20. Brazil Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 21. Brazil Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 22. Brazil Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 23. Brazil Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 24. Argentina Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 25. Argentina Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 26. Argentina Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 27. Argentina Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 28. Rest of South America Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 29. Rest of South America Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 30. Rest of South America Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 31. Rest of South America Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 32. Asia Pacific Content Moderation Automation, by Country USD Million (2016-2021)
  • Table 33. Asia Pacific Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 34. Asia Pacific Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 35. Asia Pacific Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 36. Asia Pacific Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 37. China Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 38. China Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 39. China Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 40. China Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 41. Japan Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 42. Japan Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 43. Japan Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 44. Japan Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 45. India Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 46. India Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 47. India Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 48. India Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 49. South Korea Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 50. South Korea Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 51. South Korea Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 52. South Korea Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 53. Taiwan Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 54. Taiwan Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 55. Taiwan Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 56. Taiwan Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 57. Australia Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 58. Australia Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 59. Australia Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 60. Australia Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 61. Rest of Asia-Pacific Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 62. Rest of Asia-Pacific Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 63. Rest of Asia-Pacific Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 64. Rest of Asia-Pacific Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 65. Europe Content Moderation Automation, by Country USD Million (2016-2021)
  • Table 66. Europe Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 67. Europe Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 68. Europe Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 69. Europe Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 70. Germany Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 71. Germany Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 72. Germany Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 73. Germany Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 74. France Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 75. France Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 76. France Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 77. France Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 78. Italy Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 79. Italy Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 80. Italy Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 81. Italy Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 82. United Kingdom Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 83. United Kingdom Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 84. United Kingdom Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 85. United Kingdom Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 86. Netherlands Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 87. Netherlands Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 88. Netherlands Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 89. Netherlands Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 90. Rest of Europe Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 91. Rest of Europe Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 92. Rest of Europe Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 93. Rest of Europe Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 94. MEA Content Moderation Automation, by Country USD Million (2016-2021)
  • Table 95. MEA Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 96. MEA Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 97. MEA Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 98. MEA Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 99. Middle East Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 100. Middle East Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 101. Middle East Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 102. Middle East Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 103. Africa Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 104. Africa Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 105. Africa Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 106. Africa Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 107. North America Content Moderation Automation, by Country USD Million (2016-2021)
  • Table 108. North America Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 109. North America Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 110. North America Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 111. North America Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 112. United States Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 113. United States Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 114. United States Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 115. United States Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 116. Canada Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 117. Canada Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 118. Canada Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 119. Canada Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 120. Mexico Content Moderation Automation, by Type USD Million (2016-2021)
  • Table 121. Mexico Content Moderation Automation, by Application USD Million (2016-2021)
  • Table 122. Mexico Content Moderation Automation, by Enterprise Size USD Million (2016-2021)
  • Table 123. Mexico Content Moderation Automation, by Technology USD Million (2016-2021)
  • Table 124. Content Moderation Automation: by Type(USD/Units)
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Content Moderation Automation: by Type(USD Million)
  • Table 136. Content Moderation Automation Software , by Region USD Million (2022-2027)
  • Table 137. Content Moderation Automation Solution , by Region USD Million (2022-2027)
  • Table 138. Content Moderation Automation: by Application(USD Million)
  • Table 139. Content Moderation Automation Social Media , by Region USD Million (2022-2027)
  • Table 140. Content Moderation Automation Ecommerce retailer , by Region USD Million (2022-2027)
  • Table 141. Content Moderation Automation: by Enterprise Size(USD Million)
  • Table 142. Content Moderation Automation Small and Medium Enterprise , by Region USD Million (2022-2027)
  • Table 143. Content Moderation Automation Large Enterprise , by Region USD Million (2022-2027)
  • Table 144. Content Moderation Automation: by Technology(USD Million)
  • Table 145. Content Moderation Automation Digital Hash Technology , by Region USD Million (2022-2027)
  • Table 146. Content Moderation Automation Image Recognition , by Region USD Million (2022-2027)
  • Table 147. Content Moderation Automation Metadata Filtering , by Region USD Million (2022-2027)
  • Table 148. Content Moderation Automation Natural Language Processing , by Region USD Million (2022-2027)
  • Table 149. South America Content Moderation Automation, by Country USD Million (2022-2027)
  • Table 150. South America Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 151. South America Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 152. South America Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 153. South America Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 154. Brazil Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 155. Brazil Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 156. Brazil Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 157. Brazil Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 158. Argentina Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 159. Argentina Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 160. Argentina Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 161. Argentina Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 162. Rest of South America Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 163. Rest of South America Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 164. Rest of South America Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 165. Rest of South America Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 166. Asia Pacific Content Moderation Automation, by Country USD Million (2022-2027)
  • Table 167. Asia Pacific Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 168. Asia Pacific Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 169. Asia Pacific Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 170. Asia Pacific Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 171. China Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 172. China Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 173. China Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 174. China Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 175. Japan Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 176. Japan Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 177. Japan Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 178. Japan Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 179. India Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 180. India Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 181. India Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 182. India Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 183. South Korea Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 184. South Korea Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 185. South Korea Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 186. South Korea Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 187. Taiwan Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 188. Taiwan Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 189. Taiwan Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 190. Taiwan Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 191. Australia Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 192. Australia Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 193. Australia Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 194. Australia Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 195. Rest of Asia-Pacific Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 196. Rest of Asia-Pacific Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 197. Rest of Asia-Pacific Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 198. Rest of Asia-Pacific Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 199. Europe Content Moderation Automation, by Country USD Million (2022-2027)
  • Table 200. Europe Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 201. Europe Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 202. Europe Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 203. Europe Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 204. Germany Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 205. Germany Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 206. Germany Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 207. Germany Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 208. France Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 209. France Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 210. France Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 211. France Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 212. Italy Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 213. Italy Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 214. Italy Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 215. Italy Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 216. United Kingdom Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 217. United Kingdom Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 218. United Kingdom Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 219. United Kingdom Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 220. Netherlands Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 221. Netherlands Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 222. Netherlands Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 223. Netherlands Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 224. Rest of Europe Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 225. Rest of Europe Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 226. Rest of Europe Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 227. Rest of Europe Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 228. MEA Content Moderation Automation, by Country USD Million (2022-2027)
  • Table 229. MEA Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 230. MEA Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 231. MEA Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 232. MEA Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 233. Middle East Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 234. Middle East Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 235. Middle East Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 236. Middle East Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 237. Africa Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 238. Africa Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 239. Africa Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 240. Africa Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 241. North America Content Moderation Automation, by Country USD Million (2022-2027)
  • Table 242. North America Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 243. North America Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 244. North America Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 245. North America Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 246. United States Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 247. United States Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 248. United States Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 249. United States Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 250. Canada Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 251. Canada Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 252. Canada Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 253. Canada Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 254. Mexico Content Moderation Automation, by Type USD Million (2022-2027)
  • Table 255. Mexico Content Moderation Automation, by Application USD Million (2022-2027)
  • Table 256. Mexico Content Moderation Automation, by Enterprise Size USD Million (2022-2027)
  • Table 257. Mexico Content Moderation Automation, by Technology USD Million (2022-2027)
  • Table 258. Content Moderation Automation: by Type(USD/Units)
  • Table 259. Research Programs/Design for This Report
  • Table 260. Key Data Information from Secondary Sources
  • Table 261. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Content Moderation Automation: by Type USD Million (2016-2021)
  • Figure 5. Global Content Moderation Automation: by Application USD Million (2016-2021)
  • Figure 6. Global Content Moderation Automation: by Enterprise Size USD Million (2016-2021)
  • Figure 7. Global Content Moderation Automation: by Technology USD Million (2016-2021)
  • Figure 8. South America Content Moderation Automation Share (%), by Country
  • Figure 9. Asia Pacific Content Moderation Automation Share (%), by Country
  • Figure 10. Europe Content Moderation Automation Share (%), by Country
  • Figure 11. MEA Content Moderation Automation Share (%), by Country
  • Figure 12. North America Content Moderation Automation Share (%), by Country
  • Figure 13. Global Content Moderation Automation: by Type USD/Units (2016-2021)
  • Figure 14. Global Content Moderation Automation share by Players 2021 (%)
  • Figure 15. Global Content Moderation Automation share by Players (Top 3) 2021(%)
  • Figure 16. Global Content Moderation Automation share by Players (Top 5) 2021(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Viafoura (Canada) Revenue, Net Income and Gross profit
  • Figure 19. Viafoura (Canada) Revenue: by Geography 2021
  • Figure 20. TaskUs (United States) Revenue, Net Income and Gross profit
  • Figure 21. TaskUs (United States) Revenue: by Geography 2021
  • Figure 22. Besedo (Sweden) Revenue, Net Income and Gross profit
  • Figure 23. Besedo (Sweden) Revenue: by Geography 2021
  • Figure 24. Cogito (Boston) Revenue, Net Income and Gross profit
  • Figure 25. Cogito (Boston) Revenue: by Geography 2021
  • Figure 26. Microsoft Azure (Washington) Revenue, Net Income and Gross profit
  • Figure 27. Microsoft Azure (Washington) Revenue: by Geography 2021
  • Figure 28. Open Access BPO (United States) Revenue, Net Income and Gross profit
  • Figure 29. Open Access BPO (United States) Revenue: by Geography 2021
  • Figure 30. Appen (Australia) Revenue, Net Income and Gross profit
  • Figure 31. Appen (Australia) Revenue: by Geography 2021
  • Figure 32. Magellan Solutions (Philippines) Revenue, Net Income and Gross profit
  • Figure 33. Magellan Solutions (Philippines) Revenue: by Geography 2021
  • Figure 34. Webhelp (Paris) Revenue, Net Income and Gross profit
  • Figure 35. Webhelp (Paris) Revenue: by Geography 2021
  • Figure 36. Clarifai (United States) Revenue, Net Income and Gross profit
  • Figure 37. Clarifai (United States) Revenue: by Geography 2021
  • Figure 38. Global Content Moderation Automation: by Type USD Million (2022-2027)
  • Figure 39. Global Content Moderation Automation: by Application USD Million (2022-2027)
  • Figure 40. Global Content Moderation Automation: by Enterprise Size USD Million (2022-2027)
  • Figure 41. Global Content Moderation Automation: by Technology USD Million (2022-2027)
  • Figure 42. South America Content Moderation Automation Share (%), by Country
  • Figure 43. Asia Pacific Content Moderation Automation Share (%), by Country
  • Figure 44. Europe Content Moderation Automation Share (%), by Country
  • Figure 45. MEA Content Moderation Automation Share (%), by Country
  • Figure 46. North America Content Moderation Automation Share (%), by Country
  • Figure 47. Global Content Moderation Automation: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Viafoura (Canada)
  • TaskUs (United States)
  • Besedo (Sweden)
  • Cogito (Boston)
  • Microsoft Azure (Washington)
  • Open Access BPO (United States)
  • Appen (Australia)
  • Magellan Solutions (Philippines)
  • Webhelp (Paris)
  • Clarifai (United States)
Additional players considered in the study are as follows:
Pactera (China) , OneSpace (Illinois) , Two Hat (Canada) , Lionbridge AI (United States) , LiveWorld (United States) , Arvato (Germany) , Accenture (Ireland) , Genpact (United States)
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Mar 2022 234 Pages 75 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Content Moderation Automation Quantitative research analysis
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