Global Automated Content Moderation 麻豆原创 Research Report 2024

Publication ID:

PB508242752

Publication Date:

August 9, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Automated content moderation is the use of machine learning and artificial intelligence (AI) to identify and remove harmful or inappropriate content from online platforms. This can include things like hate speech, violence, spam, and misinformation. Automated content moderation tools are becoming increasingly important as the volume of user-generated content on the internet continues to grow.
Automated content moderation tools work by analyzing text, images, and videos for certain patterns and keywords that are associated with harmful or inappropriate content. For example, a content moderation tool might be trained to identify hate speech by looking for words and phrases that are commonly used in hate speech. Once the tool has identified a piece of content as potentially harmful, it can take a number of actions, such as removing the content, flagging it for human review, or blocking the user who posted it.
The global Automated Content Moderation market was valued at US$ 14500 million in 2023 and is anticipated to reach US$ 33500 million by 2030, witnessing a CAGR of 12.3% during the forecast period 2024-2030.
The growth of the automated content moderation market is being attributed to a number of factors, including:
Increasing demand from online platforms and social media companies: Online platforms and social media companies are increasingly under pressure to protect their users from harmful and inappropriate content. This is due to a number of factors, including the growing prevalence of fake news, hate speech, and violence on these platforms. Automated content moderation tools can help online platforms and social media companies to identify and remove harmful content more quickly and efficiently.
Rising awareness of the need for content moderation: There is a growing awareness of the need for content moderation, both among online platforms and social media companies and among the general public. This is due to the increasing number of high-profile cases of harmful and inappropriate content being posted on online platforms and social media.
Technological advancements: Technological advancements in machine learning and artificial intelligence (AI) are making automated content moderation tools more accurate and efficient. This is driving the adoption of automated content moderation tools by online platforms and social media companies.
The automated content moderation market is expected to witness significant growth in the coming years, driven by the factors mentioned above. The market is also expected to benefit from the growing demand for automated content moderation tools in emerging economies.
Here are some of the key trends that are expected to shape the automated content moderation market in the coming years:
Growing demand for automated content moderation tools with advanced features: Customers are increasingly demanding automated content moderation tools with advanced features, such as the ability to identify and remove harmful content in multiple languages, the ability to identify and remove harmful content that is embedded in images and videos, and the ability to identify and remove harmful content that is generated by deepfakes. This is driving the development of new and innovative automated content moderation tools.
Increasing demand for automated content moderation tools in emerging economies: The demand for automated content moderation tools is growing rapidly in emerging economies, due to the increasing number of online users in these regions. The increasing demand for automated content moderation tools in emerging economies is expected to drive the growth of the global automated content moderation market in the coming years.
Rising focus on privacy and security: There is a growing focus on privacy and security in the automated content moderation market. This is due to the increasing number of data breaches and the growing awareness of the importance of protecting user data. This is driving the development of new and innovative automated content moderation tools that are designed to protect user data.
Overall, the automated content moderation market is a growing market with a bright future. The market is expected to be driven by the increasing demand from online platforms and social media companies, the rising awareness of the need for content moderation, and the technological advancements in machine learning and AI.
This report aims to provide a comprehensive presentation of the global market for Automated Content Moderation, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automated Content Moderation.
Report Scope
The Automated Content Moderation market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Automated Content Moderation market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automated Content Moderation companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Microsoft Azure
Peltarion
Utopia AI
iMerit
Besedo
Viafoura
TaskUs
Open Access BPO
Appen
Magellan Solutions
Webhelp
Clarifai
Pactera
OneSpace
Two Hat
Segment by Type
Video Content Review
Text Content Review
Others
Segment by Application
Social Media
Ecommerce Platform
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Automated Content Moderation companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Automated Content Moderation 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Video Content Review
1.2.3 Text Content Review
1.2.4 Others
1.3 麻豆原创 by Application
1.3.1 Global Automated Content Moderation 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Social Media
1.3.3 Ecommerce Platform
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automated Content Moderation 麻豆原创 Perspective (2019-2030)
2.2 Automated Content Moderation Growth Trends by Region
2.2.1 Global Automated Content Moderation 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Automated Content Moderation Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Automated Content Moderation Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Automated Content Moderation 麻豆原创 Dynamics
2.3.1 Automated Content Moderation Industry Trends
2.3.2 Automated Content Moderation 麻豆原创 Drivers
2.3.3 Automated Content Moderation 麻豆原创 Challenges
2.3.4 Automated Content Moderation 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automated Content Moderation Players by Revenue
3.1.1 Global Top Automated Content Moderation Players by Revenue (2019-2024)
3.1.2 Global Automated Content Moderation Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Automated Content Moderation 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automated Content Moderation Revenue
3.4 Global Automated Content Moderation 麻豆原创 Concentration Ratio
3.4.1 Global Automated Content Moderation 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automated Content Moderation Revenue in 2023
3.5 Automated Content Moderation Key Players Head office and Area Served
3.6 Key Players Automated Content Moderation Product Solution and Service
3.7 Date of Enter into Automated Content Moderation 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Automated Content Moderation Breakdown Data by Type
4.1 Global Automated Content Moderation Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Automated Content Moderation Forecasted 麻豆原创 Size by Type (2025-2030)
5 Automated Content Moderation Breakdown Data by Application
5.1 Global Automated Content Moderation Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Automated Content Moderation Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Automated Content Moderation 麻豆原创 Size (2019-2030)
6.2 North America Automated Content Moderation 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Automated Content Moderation 麻豆原创 Size by Country (2019-2024)
6.4 North America Automated Content Moderation 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automated Content Moderation 麻豆原创 Size (2019-2030)
7.2 Europe Automated Content Moderation 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Automated Content Moderation 麻豆原创 Size by Country (2019-2024)
7.4 Europe Automated Content Moderation 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automated Content Moderation 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Automated Content Moderation 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Automated Content Moderation 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Automated Content Moderation 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automated Content Moderation 麻豆原创 Size (2019-2030)
9.2 Latin America Automated Content Moderation 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Automated Content Moderation 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Automated Content Moderation 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automated Content Moderation 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Automated Content Moderation 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Automated Content Moderation 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Automated Content Moderation 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft Azure
11.1.1 Microsoft Azure Company Detail
11.1.2 Microsoft Azure Business Overview
11.1.3 Microsoft Azure Automated Content Moderation Introduction
11.1.4 Microsoft Azure Revenue in Automated Content Moderation Business (2019-2024)
11.1.5 Microsoft Azure Recent Development
11.2 Peltarion
11.2.1 Peltarion Company Detail
11.2.2 Peltarion Business Overview
11.2.3 Peltarion Automated Content Moderation Introduction
11.2.4 Peltarion Revenue in Automated Content Moderation Business (2019-2024)
11.2.5 Peltarion Recent Development
11.3 Utopia AI
11.3.1 Utopia AI Company Detail
11.3.2 Utopia AI Business Overview
11.3.3 Utopia AI Automated Content Moderation Introduction
11.3.4 Utopia AI Revenue in Automated Content Moderation Business (2019-2024)
11.3.5 Utopia AI Recent Development
11.4 iMerit
11.4.1 iMerit Company Detail
11.4.2 iMerit Business Overview
11.4.3 iMerit Automated Content Moderation Introduction
11.4.4 iMerit Revenue in Automated Content Moderation Business (2019-2024)
11.4.5 iMerit Recent Development
11.5 Besedo
11.5.1 Besedo Company Detail
11.5.2 Besedo Business Overview
11.5.3 Besedo Automated Content Moderation Introduction
11.5.4 Besedo Revenue in Automated Content Moderation Business (2019-2024)
11.5.5 Besedo Recent Development
11.6 Viafoura
11.6.1 Viafoura Company Detail
11.6.2 Viafoura Business Overview
11.6.3 Viafoura Automated Content Moderation Introduction
11.6.4 Viafoura Revenue in Automated Content Moderation Business (2019-2024)
11.6.5 Viafoura Recent Development
11.7 TaskUs
11.7.1 TaskUs Company Detail
11.7.2 TaskUs Business Overview
11.7.3 TaskUs Automated Content Moderation Introduction
11.7.4 TaskUs Revenue in Automated Content Moderation Business (2019-2024)
11.7.5 TaskUs Recent Development
11.8 Open Access BPO
11.8.1 Open Access BPO Company Detail
11.8.2 Open Access BPO Business Overview
11.8.3 Open Access BPO Automated Content Moderation Introduction
11.8.4 Open Access BPO Revenue in Automated Content Moderation Business (2019-2024)
11.8.5 Open Access BPO Recent Development
11.9 Appen
11.9.1 Appen Company Detail
11.9.2 Appen Business Overview
11.9.3 Appen Automated Content Moderation Introduction
11.9.4 Appen Revenue in Automated Content Moderation Business (2019-2024)
11.9.5 Appen Recent Development
11.10 Magellan Solutions
11.10.1 Magellan Solutions Company Detail
11.10.2 Magellan Solutions Business Overview
11.10.3 Magellan Solutions Automated Content Moderation Introduction
11.10.4 Magellan Solutions Revenue in Automated Content Moderation Business (2019-2024)
11.10.5 Magellan Solutions Recent Development
11.11 Webhelp
11.11.1 Webhelp Company Detail
11.11.2 Webhelp Business Overview
11.11.3 Webhelp Automated Content Moderation Introduction
11.11.4 Webhelp Revenue in Automated Content Moderation Business (2019-2024)
11.11.5 Webhelp Recent Development
11.12 Clarifai
11.12.1 Clarifai Company Detail
11.12.2 Clarifai Business Overview
11.12.3 Clarifai Automated Content Moderation Introduction
11.12.4 Clarifai Revenue in Automated Content Moderation Business (2019-2024)
11.12.5 Clarifai Recent Development
11.13 Pactera
11.13.1 Pactera Company Detail
11.13.2 Pactera Business Overview
11.13.3 Pactera Automated Content Moderation Introduction
11.13.4 Pactera Revenue in Automated Content Moderation Business (2019-2024)
11.13.5 Pactera Recent Development
11.14 OneSpace
11.14.1 OneSpace Company Detail
11.14.2 OneSpace Business Overview
11.14.3 OneSpace Automated Content Moderation Introduction
11.14.4 OneSpace Revenue in Automated Content Moderation Business (2019-2024)
11.14.5 OneSpace Recent Development
11.15 Two Hat
11.15.1 Two Hat Company Detail
11.15.2 Two Hat Business Overview
11.15.3 Two Hat Automated Content Moderation Introduction
11.15.4 Two Hat Revenue in Automated Content Moderation Business (2019-2024)
11.15.5 Two Hat Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Microsoft Azure
Peltarion
Utopia AI
iMerit
Besedo
Viafoura
TaskUs
Open Access BPO
Appen
Magellan Solutions
Webhelp
Clarifai
Pactera
OneSpace
Two Hat

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