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Global Content Recommendation Engines Market Research Report 2024
Published Date: March 2024
|
Report Code: QYRE-Auto-36H9140
Home | Market Reports | Internet & Telecom
Global Content Recommendation Engines Market Insights and Forecast to 2028
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Global Content Recommendation Engines Market Research Report 2024

Code: QYRE-Auto-36H9140
Report
March 2024
Pages:90
QYResearch
Buy Now with 15% Discount
DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Taboola
Dynamic Yield (McDonald)
Amazon Web Services
Adob​​e
Kibo Commerce
Optimizely
Salesforce (Evergage)
Zeta Global
Emarsys (SAP)
Algonomy
ThinkAnalytics
Alibaba Cloud
Tencent
Baidu
Byte Dance
Outbrain

Content Recommendation Engines Market Size

The global Content Recommendation Engines market was valued at US$ 4932 million in 2023 and is anticipated to reach US$ 28280 million by 2030, witnessing a CAGR of 28.0% during the forecast period 2024-2030.

Content Recommendation Engines Market

Content Recommendation Engines Market

The top two companies in Content Recommendation Engines Global Market are Taboola and Outbrain with over 50% in total. Comparing by regions, North America and Europe take a huge proportion of over 80% of the global market.
This report aims to provide a comprehensive presentation of the global market for Content Recommendation Engines, 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 Content Recommendation Engines.

Report Scope

The Content Recommendation Engines 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 Content Recommendation Engines market comprehensively. Regional market sizes, concerning products by Deployment Mode, 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 Content Recommendation Engines 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 Deployment Mode, by Application, and by regions.
Market Segmentation

Scope of Content Recommendation Engines Market Report

Report Metric Details
Report Name Content Recommendation Engines Market
Accounted market size in 2023 US$ 4932 million
Forecasted market size in 2030 US$ 28280 million
CAGR 28.0%
Base Year 2023
Forecasted years 2024 - 2030
Segment by Deployment Mode
  • Local Deployment
  • Cloud Deployment
Segment by Application
  • News and Media
  • Entertainment and Games
  • E-commerce
  • Finance
  • others
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • 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)
By Company Taboola, Outbrain, Dynamic Yield (McDonald), Amazon Web Services, Adob​​e, Kibo Commerce, Optimizely, Salesforce (Evergage), Zeta Global, Emarsys (SAP), Algonomy, ThinkAnalytics, Alibaba Cloud, Tencent., Baidu, Byte Dance
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Deployment Mode, 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 Content Recommendation Engines companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by Deployment Mode, 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.

FAQ for this report

How fast is Content Recommendation Engines Market growing?

Ans: The Content Recommendation Engines Market witnessing a CAGR of 28.0% during the forecast period 2024-2030.

What is the Content Recommendation Engines Market size in 2030?

Ans: The Content Recommendation Engines Market size in 2030 will be US$ 28280 million.

What is the market share of major companies in Content Recommendation Engines Market?

Ans: The top two companies in Content Recommendation Engines Global Market are Taboola and Outbrain with over 50% in total.

What is the Content Recommendation Engines Market share by region?

Ans: Comparing by regions, North America and Europe take a huge proportion of over 80% of the global market.

Who are the main players in the Content Recommendation Engines Market report?

Ans: The main players in the Content Recommendation Engines Market are Taboola, Outbrain, Dynamic Yield (McDonald), Amazon Web Services, Adob​​e, Kibo Commerce, Optimizely, Salesforce (Evergage), Zeta Global, Emarsys (SAP), Algonomy, ThinkAnalytics, Alibaba Cloud, Tencent., Baidu, Byte Dance

What are the Application segmentation covered in the Content Recommendation Engines Market report?

Ans: The Applications covered in the Content Recommendation Engines Market report are News and Media, Entertainment and Games, E-commerce, Finance, others

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Deployment Mode
1.2.1 Global Content Recommendation Engines Market Size Growth Rate by Deployment Mode: 2019 VS 2023 VS 2030
1.2.2 Local Deployment
1.2.3 Cloud Deployment
1.3 Market by Application
1.3.1 Global Content Recommendation Engines Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 News and Media
1.3.3 Entertainment and Games
1.3.4 E-commerce
1.3.5 Finance
1.3.6 others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Content Recommendation Engines Market Perspective (2019-2030)
2.2 Content Recommendation Engines Growth Trends by Region
2.2.1 Global Content Recommendation Engines Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Content Recommendation Engines Historic Market Size by Region (2019-2024)
2.2.3 Content Recommendation Engines Forecasted Market Size by Region (2025-2030)
2.3 Content Recommendation Engines Market Dynamics
2.3.1 Content Recommendation Engines Industry Trends
2.3.2 Content Recommendation Engines Market Drivers
2.3.3 Content Recommendation Engines Market Challenges
2.3.4 Content Recommendation Engines Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Content Recommendation Engines Players by Revenue
3.1.1 Global Top Content Recommendation Engines Players by Revenue (2019-2024)
3.1.2 Global Content Recommendation Engines Revenue Market Share by Players (2019-2024)
3.2 Global Content Recommendation Engines Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Content Recommendation Engines Revenue
3.4 Global Content Recommendation Engines Market Concentration Ratio
3.4.1 Global Content Recommendation Engines Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Content Recommendation Engines Revenue in 2023
3.5 Content Recommendation Engines Key Players Head office and Area Served
3.6 Key Players Content Recommendation Engines Product Solution and Service
3.7 Date of Enter into Content Recommendation Engines Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Content Recommendation Engines Breakdown Data by Deployment Mode
4.1 Global Content Recommendation Engines Historic Market Size by Deployment Mode (2019-2024)
4.2 Global Content Recommendation Engines Forecasted Market Size by Deployment Mode (2025-2030)
5 Content Recommendation Engines Breakdown Data by Application
5.1 Global Content Recommendation Engines Historic Market Size by Application (2019-2024)
5.2 Global Content Recommendation Engines Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Content Recommendation Engines Market Size (2019-2030)
6.2 North America Content Recommendation Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Content Recommendation Engines Market Size by Country (2019-2024)
6.4 North America Content Recommendation Engines Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Content Recommendation Engines Market Size (2019-2030)
7.2 Europe Content Recommendation Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Content Recommendation Engines Market Size by Country (2019-2024)
7.4 Europe Content Recommendation Engines Market 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 Content Recommendation Engines Market Size (2019-2030)
8.2 Asia-Pacific Content Recommendation Engines Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Content Recommendation Engines Market Size by Region (2019-2024)
8.4 Asia-Pacific Content Recommendation Engines Market 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 Content Recommendation Engines Market Size (2019-2030)
9.2 Latin America Content Recommendation Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Content Recommendation Engines Market Size by Country (2019-2024)
9.4 Latin America Content Recommendation Engines Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Content Recommendation Engines Market Size (2019-2030)
10.2 Middle East & Africa Content Recommendation Engines Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Content Recommendation Engines Market Size by Country (2019-2024)
10.4 Middle East & Africa Content Recommendation Engines Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Taboola
11.1.1 Taboola Company Detail
11.1.2 Taboola Business Overview
11.1.3 Taboola Content Recommendation Engines Introduction
11.1.4 Taboola Revenue in Content Recommendation Engines Business (2019-2024)
11.1.5 Taboola Recent Development
11.2 Outbrain
11.2.1 Outbrain Company Detail
11.2.2 Outbrain Business Overview
11.2.3 Outbrain Content Recommendation Engines Introduction
11.2.4 Outbrain Revenue in Content Recommendation Engines Business (2019-2024)
11.2.5 Outbrain Recent Development
11.3 Dynamic Yield (McDonald)
11.3.1 Dynamic Yield (McDonald) Company Detail
11.3.2 Dynamic Yield (McDonald) Business Overview
11.3.3 Dynamic Yield (McDonald) Content Recommendation Engines Introduction
11.3.4 Dynamic Yield (McDonald) Revenue in Content Recommendation Engines Business (2019-2024)
11.3.5 Dynamic Yield (McDonald) Recent Development
11.4 Amazon Web Services
11.4.1 Amazon Web Services Company Detail
11.4.2 Amazon Web Services Business Overview
11.4.3 Amazon Web Services Content Recommendation Engines Introduction
11.4.4 Amazon Web Services Revenue in Content Recommendation Engines Business (2019-2024)
11.4.5 Amazon Web Services Recent Development
11.5 Adob​​e
11.5.1 Adob​​e Company Detail
11.5.2 Adob​​e Business Overview
11.5.3 Adob​​e Content Recommendation Engines Introduction
11.5.4 Adob​​e Revenue in Content Recommendation Engines Business (2019-2024)
11.5.5 Adob​​e Recent Development
11.6 Kibo Commerce
11.6.1 Kibo Commerce Company Detail
11.6.2 Kibo Commerce Business Overview
11.6.3 Kibo Commerce Content Recommendation Engines Introduction
11.6.4 Kibo Commerce Revenue in Content Recommendation Engines Business (2019-2024)
11.6.5 Kibo Commerce Recent Development
11.7 Optimizely
11.7.1 Optimizely Company Detail
11.7.2 Optimizely Business Overview
11.7.3 Optimizely Content Recommendation Engines Introduction
11.7.4 Optimizely Revenue in Content Recommendation Engines Business (2019-2024)
11.7.5 Optimizely Recent Development
11.8 Salesforce (Evergage)
11.8.1 Salesforce (Evergage) Company Detail
11.8.2 Salesforce (Evergage) Business Overview
11.8.3 Salesforce (Evergage) Content Recommendation Engines Introduction
11.8.4 Salesforce (Evergage) Revenue in Content Recommendation Engines Business (2019-2024)
11.8.5 Salesforce (Evergage) Recent Development
11.9 Zeta Global
11.9.1 Zeta Global Company Detail
11.9.2 Zeta Global Business Overview
11.9.3 Zeta Global Content Recommendation Engines Introduction
11.9.4 Zeta Global Revenue in Content Recommendation Engines Business (2019-2024)
11.9.5 Zeta Global Recent Development
11.10 Emarsys (SAP)
11.10.1 Emarsys (SAP) Company Detail
11.10.2 Emarsys (SAP) Business Overview
11.10.3 Emarsys (SAP) Content Recommendation Engines Introduction
11.10.4 Emarsys (SAP) Revenue in Content Recommendation Engines Business (2019-2024)
11.10.5 Emarsys (SAP) Recent Development
11.11 Algonomy
11.11.1 Algonomy Company Detail
11.11.2 Algonomy Business Overview
11.11.3 Algonomy Content Recommendation Engines Introduction
11.11.4 Algonomy Revenue in Content Recommendation Engines Business (2019-2024)
11.11.5 Algonomy Recent Development
11.12 ThinkAnalytics
11.12.1 ThinkAnalytics Company Detail
11.12.2 ThinkAnalytics Business Overview
11.12.3 ThinkAnalytics Content Recommendation Engines Introduction
11.12.4 ThinkAnalytics Revenue in Content Recommendation Engines Business (2019-2024)
11.12.5 ThinkAnalytics Recent Development
11.13 Alibaba Cloud
11.13.1 Alibaba Cloud Company Detail
11.13.2 Alibaba Cloud Business Overview
11.13.3 Alibaba Cloud Content Recommendation Engines Introduction
11.13.4 Alibaba Cloud Revenue in Content Recommendation Engines Business (2019-2024)
11.13.5 Alibaba Cloud Recent Development
11.14 Tencent.
11.14.1 Tencent. Company Detail
11.14.2 Tencent. Business Overview
11.14.3 Tencent. Content Recommendation Engines Introduction
11.14.4 Tencent. Revenue in Content Recommendation Engines Business (2019-2024)
11.14.5 Tencent. Recent Development
11.15 Baidu
11.15.1 Baidu Company Detail
11.15.2 Baidu Business Overview
11.15.3 Baidu Content Recommendation Engines Introduction
11.15.4 Baidu Revenue in Content Recommendation Engines Business (2019-2024)
11.15.5 Baidu Recent Development
11.16 Byte Dance
11.16.1 Byte Dance Company Detail
11.16.2 Byte Dance Business Overview
11.16.3 Byte Dance Content Recommendation Engines Introduction
11.16.4 Byte Dance Revenue in Content Recommendation Engines Business (2019-2024)
11.16.5 Byte Dance 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
FEATURED COMPANIES
Taboola
Dynamic Yield (McDonald)
Amazon Web Services
Adob​​e
Kibo Commerce
Optimizely
Salesforce (Evergage)
Zeta Global
Emarsys (SAP)
Algonomy
ThinkAnalytics
Alibaba Cloud
Tencent
Baidu
Byte Dance
Outbrain
List of Tables
    Table 1. Global Content Recommendation Engines Market Size Growth Rate by Deployment Mode (US$ Million): 2019 VS 2023 VS 2030
    Table 2. Key Players of Local Deployment
    Table 3. Key Players of Cloud Deployment
    Table 4. Global Content Recommendation Engines Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030
    Table 5. Global Content Recommendation Engines Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
    Table 6. Global Content Recommendation Engines Market Size by Region (2019-2024) & (US$ Million)
    Table 7. Global Content Recommendation Engines Market Share by Region (2019-2024)
    Table 8. Global Content Recommendation Engines Forecasted Market Size by Region (2025-2030) & (US$ Million)
    Table 9. Global Content Recommendation Engines Market Share by Region (2025-2030)
    Table 10. Content Recommendation Engines Market Trends
    Table 11. Content Recommendation Engines Market Drivers
    Table 12. Content Recommendation Engines Market Challenges
    Table 13. Content Recommendation Engines Market Restraints
    Table 14. Global Content Recommendation Engines Revenue by Players (2019-2024) & (US$ Million)
    Table 15. Global Content Recommendation Engines Market Share by Players (2019-2024)
    Table 16. Global Top Content Recommendation Engines Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Content Recommendation Engines as of 2023)
    Table 17. Ranking of Global Top Content Recommendation Engines Companies by Revenue (US$ Million) in 2023
    Table 18. Global 5 Largest Players Market Share by Content Recommendation Engines Revenue (CR5 and HHI) & (2019-2024)
    Table 19. Key Players Headquarters and Area Served
    Table 20. Key Players Content Recommendation Engines Product Solution and Service
    Table 21. Date of Enter into Content Recommendation Engines Market
    Table 22. Mergers & Acquisitions, Expansion Plans
    Table 23. Global Content Recommendation Engines Market Size by Deployment Mode (2019-2024) & (US$ Million)
    Table 24. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2019-2024)
    Table 25. Global Content Recommendation Engines Forecasted Market Size by Deployment Mode (2025-2030) & (US$ Million)
    Table 26. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2025-2030)
    Table 27. Global Content Recommendation Engines Market Size by Application (2019-2024) & (US$ Million)
    Table 28. Global Content Recommendation Engines Revenue Market Share by Application (2019-2024)
    Table 29. Global Content Recommendation Engines Forecasted Market Size by Application (2025-2030) & (US$ Million)
    Table 30. Global Content Recommendation Engines Revenue Market Share by Application (2025-2030)
    Table 31. North America Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 32. North America Content Recommendation Engines Market Size by Country (2019-2024) & (US$ Million)
    Table 33. North America Content Recommendation Engines Market Size by Country (2025-2030) & (US$ Million)
    Table 34. Europe Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 35. Europe Content Recommendation Engines Market Size by Country (2019-2024) & (US$ Million)
    Table 36. Europe Content Recommendation Engines Market Size by Country (2025-2030) & (US$ Million)
    Table 37. Asia-Pacific Content Recommendation Engines Market Size Growth Rate by Region (US$ Million): 2019 VS 2023 VS 2030
    Table 38. Asia-Pacific Content Recommendation Engines Market Size by Region (2019-2024) & (US$ Million)
    Table 39. Asia-Pacific Content Recommendation Engines Market Size by Region (2025-2030) & (US$ Million)
    Table 40. Latin America Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 41. Latin America Content Recommendation Engines Market Size by Country (2019-2024) & (US$ Million)
    Table 42. Latin America Content Recommendation Engines Market Size by Country (2025-2030) & (US$ Million)
    Table 43. Middle East & Africa Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 44. Middle East & Africa Content Recommendation Engines Market Size by Country (2019-2024) & (US$ Million)
    Table 45. Middle East & Africa Content Recommendation Engines Market Size by Country (2025-2030) & (US$ Million)
    Table 46. Taboola Company Detail
    Table 47. Taboola Business Overview
    Table 48. Taboola Content Recommendation Engines Product
    Table 49. Taboola Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 50. Taboola Recent Development
    Table 51. Outbrain Company Detail
    Table 52. Outbrain Business Overview
    Table 53. Outbrain Content Recommendation Engines Product
    Table 54. Outbrain Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 55. Outbrain Recent Development
    Table 56. Dynamic Yield (McDonald) Company Detail
    Table 57. Dynamic Yield (McDonald) Business Overview
    Table 58. Dynamic Yield (McDonald) Content Recommendation Engines Product
    Table 59. Dynamic Yield (McDonald) Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 60. Dynamic Yield (McDonald) Recent Development
    Table 61. Amazon Web Services Company Detail
    Table 62. Amazon Web Services Business Overview
    Table 63. Amazon Web Services Content Recommendation Engines Product
    Table 64. Amazon Web Services Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 65. Amazon Web Services Recent Development
    Table 66. Adob​​e Company Detail
    Table 67. Adob​​e Business Overview
    Table 68. Adob​​e Content Recommendation Engines Product
    Table 69. Adob​​e Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 70. Adob​​e Recent Development
    Table 71. Kibo Commerce Company Detail
    Table 72. Kibo Commerce Business Overview
    Table 73. Kibo Commerce Content Recommendation Engines Product
    Table 74. Kibo Commerce Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 75. Kibo Commerce Recent Development
    Table 76. Optimizely Company Detail
    Table 77. Optimizely Business Overview
    Table 78. Optimizely Content Recommendation Engines Product
    Table 79. Optimizely Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 80. Optimizely Recent Development
    Table 81. Salesforce (Evergage) Company Detail
    Table 82. Salesforce (Evergage) Business Overview
    Table 83. Salesforce (Evergage) Content Recommendation Engines Product
    Table 84. Salesforce (Evergage) Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 85. Salesforce (Evergage) Recent Development
    Table 86. Zeta Global Company Detail
    Table 87. Zeta Global Business Overview
    Table 88. Zeta Global Content Recommendation Engines Product
    Table 89. Zeta Global Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 90. Zeta Global Recent Development
    Table 91. Emarsys (SAP) Company Detail
    Table 92. Emarsys (SAP) Business Overview
    Table 93. Emarsys (SAP) Content Recommendation Engines Product
    Table 94. Emarsys (SAP) Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 95. Emarsys (SAP) Recent Development
    Table 96. Algonomy Company Detail
    Table 97. Algonomy Business Overview
    Table 98. Algonomy Content Recommendation Engines Product
    Table 99. Algonomy Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 100. Algonomy Recent Development
    Table 101. ThinkAnalytics Company Detail
    Table 102. ThinkAnalytics Business Overview
    Table 103. ThinkAnalytics Content Recommendation Engines Product
    Table 104. ThinkAnalytics Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 105. ThinkAnalytics Recent Development
    Table 106. Alibaba Cloud Company Detail
    Table 107. Alibaba Cloud Business Overview
    Table 108. Alibaba Cloud Content Recommendation Engines Product
    Table 109. Alibaba Cloud Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 110. Alibaba Cloud Recent Development
    Table 111. Tencent. Company Detail
    Table 112. Tencent. Business Overview
    Table 113. Tencent. Content Recommendation Engines Product
    Table 114. Tencent. Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 115. Tencent. Recent Development
    Table 116. Baidu Company Detail
    Table 117. Baidu Business Overview
    Table 118. Baidu Content Recommendation Engines Product
    Table 119. Baidu Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 120. Baidu Recent Development
    Table 121. Byte Dance Company Detail
    Table 122. Byte Dance Business Overview
    Table 123. Byte Dance Content Recommendation Engines Product
    Table 124. Byte Dance Revenue in Content Recommendation Engines Business (2019-2024) & (US$ Million)
    Table 125. Byte Dance Recent Development
    Table 126. Research Programs/Design for This Report
    Table 127. Key Data Information from Secondary Sources
    Table 128. Key Data Information from Primary Sources
List of Figures
    Figure 1. Global Content Recommendation Engines Market Size Comparison by Deployment Mode (2024-2030) & (US$ Million)
    Figure 2. Global Content Recommendation Engines Market Share by Deployment Mode: 2023 VS 2030
    Figure 3. Local Deployment Features
    Figure 4. Cloud Deployment Features
    Figure 5. Global Content Recommendation Engines Market Size Comparison by Application (2024-2030) & (US$ Million)
    Figure 6. Global Content Recommendation Engines Market Share by Application: 2023 VS 2030
    Figure 7. News and Media Case Studies
    Figure 8. Entertainment and Games Case Studies
    Figure 9. E-commerce Case Studies
    Figure 10. Finance Case Studies
    Figure 11. others Case Studies
    Figure 12. Content Recommendation Engines Report Years Considered
    Figure 13. Global Content Recommendation Engines Market Size (US$ Million), Year-over-Year: 2019-2030
    Figure 14. Global Content Recommendation Engines Market Size, (US$ Million), 2019 VS 2023 VS 2030
    Figure 15. Global Content Recommendation Engines Market Share by Region: 2023 VS 2030
    Figure 16. Global Content Recommendation Engines Market Share by Players in 2023
    Figure 17. Global Top Content Recommendation Engines Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Content Recommendation Engines as of 2023)
    Figure 18. The Top 10 and 5 Players Market Share by Content Recommendation Engines Revenue in 2023
    Figure 19. North America Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 20. North America Content Recommendation Engines Market Share by Country (2019-2030)
    Figure 21. United States Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 22. Canada Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 23. Europe Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 24. Europe Content Recommendation Engines Market Share by Country (2019-2030)
    Figure 25. Germany Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 26. France Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 27. U.K. Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 28. Italy Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 29. Russia Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 30. Nordic Countries Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 31. Asia-Pacific Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 32. Asia-Pacific Content Recommendation Engines Market Share by Region (2019-2030)
    Figure 33. China Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 34. Japan Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 35. South Korea Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 36. Southeast Asia Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 37. India Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 38. Australia Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 39. Latin America Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 40. Latin America Content Recommendation Engines Market Share by Country (2019-2030)
    Figure 41. Mexico Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 42. Brazil Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 43. Middle East & Africa Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 44. Middle East & Africa Content Recommendation Engines Market Share by Country (2019-2030)
    Figure 45. Turkey Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 46. Saudi Arabia Content Recommendation Engines Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 47. Taboola Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 48. Outbrain Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 49. Dynamic Yield (McDonald) Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 50. Amazon Web Services Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 51. Adob​​e Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 52. Kibo Commerce Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 53. Optimizely Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 54. Salesforce (Evergage) Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 55. Zeta Global Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 56. Emarsys (SAP) Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 57. Algonomy Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 58. ThinkAnalytics Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 59. Alibaba Cloud Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 60. Tencent. Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 61. Baidu Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 62. Byte Dance Revenue Growth Rate in Content Recommendation Engines Business (2019-2024)
    Figure 63. Bottom-up and Top-down Approaches for This Report
    Figure 64. Data Triangulation
    Figure 65. Key Executives Interviewed
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