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Global Content Recommendation Engines Market Research Report 2025

Published Date: March 2025

Report Code: QYRE-Auto-36H9140

Global Content Recommendation Engines Market Insights and Forecast to 2028

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Global Content Recommendation Engines Market Research Report 2025

Code: QYRE-Auto-36H9140

Report

March 2025

Pages:98

QYResearch

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DESCRIPTION

TABLE OF CONTENT

TABLES & FIGURES

FEATURED COMPANIES

Taboola

Dynamic Yield (McDonald)

Amazon Web Services

Adobe

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 market for Content Recommendation Engines was valued at US$ 8051 million in the year 2024 and is projected to reach a revised size of US$ 44330 million by 2031, growing at a CAGR of 28.0% during the forecast period.

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.

The Content Recommendation Engines market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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 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 year	US$ 8051 million
Forecasted market size in 2031	US$ 44330 million
CAGR	28.0%
Base Year	year
Forecasted years	2025 - 2031
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, Adobe, 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 company 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 2025-2031.

What is the Content Recommendation Engines Market size in 2031?

Ans: The Content Recommendation Engines Market size in 2031 will be US$ 44330 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, Adobe, 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: 2020 VS 2024 VS 2031

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: 2020 VS 2024 VS 2031

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 Assumptions and Limitations

1.5 Study Objectives

1.6 Years Considered

2 Global Growth Trends

2.1 Global Content Recommendation Engines Market Perspective (2020-2031)

2.2 Global Content Recommendation Engines Growth Trends by Region

2.2.1 Global Content Recommendation Engines Market Size by Region: 2020 VS 2024 VS 2031

2.2.2 Content Recommendation Engines Historic Market Size by Region (2020-2025)

2.2.3 Content Recommendation Engines Forecasted Market Size by Region (2026-2031)

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 (2020-2025)

3.1.2 Global Content Recommendation Engines Revenue Market Share by Players (2020-2025)

3.2 Global Content Recommendation Engines Market Share by Company Type (Tier 1, Tier 2, and Tier 3)

3.3 Global Key Players 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 2024

3.5 Global Key Players of Content Recommendation Engines Head office and Area Served

3.6 Global Key Players of Content Recommendation Engines, Product and Application

3.7 Global Key Players of Content Recommendation Engines, Date of Enter into This Industry

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 (2020-2025)

4.2 Global Content Recommendation Engines Forecasted Market Size by Deployment Mode (2026-2031)

5 Content Recommendation Engines Breakdown Data by Application

5.1 Global Content Recommendation Engines Historic Market Size by Application (2020-2025)

5.2 Global Content Recommendation Engines Forecasted Market Size by Application (2026-2031)

6 North America

6.1 North America Content Recommendation Engines Market Size (2020-2031)

6.2 North America Content Recommendation Engines Market Growth Rate by Country: 2020 VS 2024 VS 2031

6.3 North America Content Recommendation Engines Market Size by Country (2020-2025)

6.4 North America Content Recommendation Engines Market Size by Country (2026-2031)

6.5 United States

6.6 Canada

7 Europe

7.1 Europe Content Recommendation Engines Market Size (2020-2031)

7.2 Europe Content Recommendation Engines Market Growth Rate by Country: 2020 VS 2024 VS 2031

7.3 Europe Content Recommendation Engines Market Size by Country (2020-2025)

7.4 Europe Content Recommendation Engines Market Size by Country (2026-2031)

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 (2020-2031)

8.2 Asia-Pacific Content Recommendation Engines Market Growth Rate by Region: 2020 VS 2024 VS 2031

8.3 Asia-Pacific Content Recommendation Engines Market Size by Region (2020-2025)

8.4 Asia-Pacific Content Recommendation Engines Market Size by Region (2026-2031)

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 (2020-2031)

9.2 Latin America Content Recommendation Engines Market Growth Rate by Country: 2020 VS 2024 VS 2031

9.3 Latin America Content Recommendation Engines Market Size by Country (2020-2025)

9.4 Latin America Content Recommendation Engines Market Size by Country (2026-2031)

9.5 Mexico

9.6 Brazil

10 Middle East & Africa

10.1 Middle East & Africa Content Recommendation Engines Market Size (2020-2031)

10.2 Middle East & Africa Content Recommendation Engines Market Growth Rate by Country: 2020 VS 2024 VS 2031

10.3 Middle East & Africa Content Recommendation Engines Market Size by Country (2020-2025)

10.4 Middle East & Africa Content Recommendation Engines Market Size by Country (2026-2031)

10.5 Turkey

10.6 Saudi Arabia

10.7 UAE

11 Key Players Profiles

11.1 Taboola

11.1.1 Taboola Company Details

11.1.2 Taboola Business Overview

11.1.3 Taboola Content Recommendation Engines Introduction

11.1.4 Taboola Revenue in Content Recommendation Engines Business (2020-2025)

11.1.5 Taboola Recent Development

11.2 Outbrain

11.2.1 Outbrain Company Details

11.2.2 Outbrain Business Overview

11.2.3 Outbrain Content Recommendation Engines Introduction

11.2.4 Outbrain Revenue in Content Recommendation Engines Business (2020-2025)

11.2.5 Outbrain Recent Development

11.3 Dynamic Yield (McDonald)

11.3.1 Dynamic Yield (McDonald) Company Details

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 (2020-2025)

11.3.5 Dynamic Yield (McDonald) Recent Development

11.4 Amazon Web Services

11.4.1 Amazon Web Services Company Details

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 (2020-2025)

11.4.5 Amazon Web Services Recent Development

11.5 Adobe

11.5.1 Adobe Company Details

11.5.2 Adobe Business Overview

11.5.3 Adobe Content Recommendation Engines Introduction

11.5.4 Adobe Revenue in Content Recommendation Engines Business (2020-2025)

11.5.5 Adobe Recent Development

11.6 Kibo Commerce

11.6.1 Kibo Commerce Company Details

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 (2020-2025)

11.6.5 Kibo Commerce Recent Development

11.7 Optimizely

11.7.1 Optimizely Company Details

11.7.2 Optimizely Business Overview

11.7.3 Optimizely Content Recommendation Engines Introduction

11.7.4 Optimizely Revenue in Content Recommendation Engines Business (2020-2025)

11.7.5 Optimizely Recent Development

11.8 Salesforce (Evergage)

11.8.1 Salesforce (Evergage) Company Details

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 (2020-2025)

11.8.5 Salesforce (Evergage) Recent Development

11.9 Zeta Global

11.9.1 Zeta Global Company Details

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 (2020-2025)

11.9.5 Zeta Global Recent Development

11.10 Emarsys (SAP)

11.10.1 Emarsys (SAP) Company Details

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 (2020-2025)

11.10.5 Emarsys (SAP) Recent Development

11.11 Algonomy

11.11.1 Algonomy Company Details

11.11.2 Algonomy Business Overview

11.11.3 Algonomy Content Recommendation Engines Introduction

11.11.4 Algonomy Revenue in Content Recommendation Engines Business (2020-2025)

11.11.5 Algonomy Recent Development

11.12 ThinkAnalytics

11.12.1 ThinkAnalytics Company Details

11.12.2 ThinkAnalytics Business Overview

11.12.3 ThinkAnalytics Content Recommendation Engines Introduction

11.12.4 ThinkAnalytics Revenue in Content Recommendation Engines Business (2020-2025)

11.12.5 ThinkAnalytics Recent Development

11.13 Alibaba Cloud

11.13.1 Alibaba Cloud Company Details

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 (2020-2025)

11.13.5 Alibaba Cloud Recent Development

11.14 Tencent.

11.14.1 Tencent. Company Details

11.14.2 Tencent. Business Overview

11.14.3 Tencent. Content Recommendation Engines Introduction

11.14.4 Tencent. Revenue in Content Recommendation Engines Business (2020-2025)

11.14.5 Tencent. Recent Development

11.15 Baidu

11.15.1 Baidu Company Details

11.15.2 Baidu Business Overview

11.15.3 Baidu Content Recommendation Engines Introduction

11.15.4 Baidu Revenue in Content Recommendation Engines Business (2020-2025)

11.15.5 Baidu Recent Development

11.16 Byte Dance

11.16.1 Byte Dance Company Details

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 (2020-2025)

11.16.5 Byte Dance Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

13.1 Research Methodology

13.1.1 Methodology/Research Approach

13.1.1.1 Research Programs/Design

13.1.1.2 Market Size Estimation

13.1.1.3 Market Breakdown and Data Triangulation

13.1.2 Data Source

13.1.2.1 Secondary Sources

13.1.2.2 Primary Sources

13.2 Author Details

13.3 Disclaimer

FEATURED COMPANIES

Taboola

Dynamic Yield (McDonald)

Amazon Web Services

Adobe

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): 2020 VS 2024 VS 2031

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): 2020 VS 2024 VS 2031

Table 5. Global Content Recommendation Engines Market Size by Region (US$ Million): 2020 VS 2024 VS 2031

Table 6. Global Content Recommendation Engines Market Size by Region (2020-2025) & (US$ Million)

Table 7. Global Content Recommendation Engines Market Share by Region (2020-2025)

Table 8. Global Content Recommendation Engines Forecasted Market Size by Region (2026-2031) & (US$ Million)

Table 9. Global Content Recommendation Engines Market Share by Region (2026-2031)

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 (2020-2025) & (US$ Million)

Table 15. Global Content Recommendation Engines Market Share by Players (2020-2025)

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 2024)

Table 17. Ranking of Global Top Content Recommendation Engines Companies by Revenue (US$ Million) in 2024

Table 18. Global 5 Largest Players Market Share by Content Recommendation Engines Revenue (CR5 and HHI) & (2020-2025)

Table 19. Global Key Players of Content Recommendation Engines, Headquarters and Area Served

Table 20. Global Key Players of Content Recommendation Engines, Product and Application

Table 21. Global Key Players of Content Recommendation Engines, Date of Enter into This Industry

Table 22. Mergers & Acquisitions, Expansion Plans

Table 23. Global Content Recommendation Engines Market Size by Deployment Mode (2020-2025) & (US$ Million)

Table 24. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2020-2025)

Table 25. Global Content Recommendation Engines Forecasted Market Size by Deployment Mode (2026-2031) & (US$ Million)

Table 26. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2026-2031)

Table 27. Global Content Recommendation Engines Market Size by Application (2020-2025) & (US$ Million)

Table 28. Global Content Recommendation Engines Revenue Market Share by Application (2020-2025)

Table 29. Global Content Recommendation Engines Forecasted Market Size by Application (2026-2031) & (US$ Million)

Table 30. Global Content Recommendation Engines Revenue Market Share by Application (2026-2031)

Table 31. North America Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 32. North America Content Recommendation Engines Market Size by Country (2020-2025) & (US$ Million)

Table 33. North America Content Recommendation Engines Market Size by Country (2026-2031) & (US$ Million)

Table 34. Europe Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 35. Europe Content Recommendation Engines Market Size by Country (2020-2025) & (US$ Million)

Table 36. Europe Content Recommendation Engines Market Size by Country (2026-2031) & (US$ Million)

Table 37. Asia-Pacific Content Recommendation Engines Market Size Growth Rate by Region (US$ Million): 2020 VS 2024 VS 2031

Table 38. Asia-Pacific Content Recommendation Engines Market Size by Region (2020-2025) & (US$ Million)

Table 39. Asia-Pacific Content Recommendation Engines Market Size by Region (2026-2031) & (US$ Million)

Table 40. Latin America Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 41. Latin America Content Recommendation Engines Market Size by Country (2020-2025) & (US$ Million)

Table 42. Latin America Content Recommendation Engines Market Size by Country (2026-2031) & (US$ Million)

Table 43. Middle East & Africa Content Recommendation Engines Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031

Table 44. Middle East & Africa Content Recommendation Engines Market Size by Country (2020-2025) & (US$ Million)

Table 45. Middle East & Africa Content Recommendation Engines Market Size by Country (2026-2031) & (US$ Million)

Table 46. Taboola Company Details

Table 47. Taboola Business Overview

Table 48. Taboola Content Recommendation Engines Product

Table 49. Taboola Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 50. Taboola Recent Development

Table 51. Outbrain Company Details

Table 52. Outbrain Business Overview

Table 53. Outbrain Content Recommendation Engines Product

Table 54. Outbrain Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 55. Outbrain Recent Development

Table 56. Dynamic Yield (McDonald) Company Details

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 (2020-2025) & (US$ Million)

Table 60. Dynamic Yield (McDonald) Recent Development

Table 61. Amazon Web Services Company Details

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 (2020-2025) & (US$ Million)

Table 65. Amazon Web Services Recent Development

Table 66. Adobe Company Details

Table 67. Adobe Business Overview

Table 68. Adobe Content Recommendation Engines Product

Table 69. Adobe Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 70. Adobe Recent Development

Table 71. Kibo Commerce Company Details

Table 72. Kibo Commerce Business Overview

Table 73. Kibo Commerce Content Recommendation Engines Product

Table 74. Kibo Commerce Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 75. Kibo Commerce Recent Development

Table 76. Optimizely Company Details

Table 77. Optimizely Business Overview

Table 78. Optimizely Content Recommendation Engines Product

Table 79. Optimizely Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 80. Optimizely Recent Development

Table 81. Salesforce (Evergage) Company Details

Table 82. Salesforce (Evergage) Business Overview

Table 83. Salesforce (Evergage) Content Recommendation Engines Product

Table 84. Salesforce (Evergage) Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 85. Salesforce (Evergage) Recent Development

Table 86. Zeta Global Company Details

Table 87. Zeta Global Business Overview

Table 88. Zeta Global Content Recommendation Engines Product

Table 89. Zeta Global Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 90. Zeta Global Recent Development

Table 91. Emarsys (SAP) Company Details

Table 92. Emarsys (SAP) Business Overview

Table 93. Emarsys (SAP) Content Recommendation Engines Product

Table 94. Emarsys (SAP) Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 95. Emarsys (SAP) Recent Development

Table 96. Algonomy Company Details

Table 97. Algonomy Business Overview

Table 98. Algonomy Content Recommendation Engines Product

Table 99. Algonomy Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 100. Algonomy Recent Development

Table 101. ThinkAnalytics Company Details

Table 102. ThinkAnalytics Business Overview

Table 103. ThinkAnalytics Content Recommendation Engines Product

Table 104. ThinkAnalytics Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 105. ThinkAnalytics Recent Development

Table 106. Alibaba Cloud Company Details

Table 107. Alibaba Cloud Business Overview

Table 108. Alibaba Cloud Content Recommendation Engines Product

Table 109. Alibaba Cloud Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 110. Alibaba Cloud Recent Development

Table 111. Tencent. Company Details

Table 112. Tencent. Business Overview

Table 113. Tencent. Content Recommendation Engines Product

Table 114. Tencent. Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 115. Tencent. Recent Development

Table 116. Baidu Company Details

Table 117. Baidu Business Overview

Table 118. Baidu Content Recommendation Engines Product

Table 119. Baidu Revenue in Content Recommendation Engines Business (2020-2025) & (US$ Million)

Table 120. Baidu Recent Development

Table 121. Byte Dance Company Details

Table 122. Byte Dance Business Overview

Table 123. Byte Dance Content Recommendation Engines Product

Table 124. Byte Dance Revenue in Content Recommendation Engines Business (2020-2025) & (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

Table 129. Authors List of This Report

List of Figures

Figure 1. Content Recommendation Engines Picture

Figure 2. Global Content Recommendation Engines Market Size Comparison by Deployment Mode (2020-2031) & (US$ Million)

Figure 3. Global Content Recommendation Engines Market Share by Deployment Mode: 2024 VS 2031

Figure 4. Local Deployment Features

Figure 5. Cloud Deployment Features

Figure 6. Global Content Recommendation Engines Market Size by Application (2020-2031) & (US$ Million)

Figure 7. Global Content Recommendation Engines Market Share by Application: 2024 VS 2031

Figure 8. News and Media Case Studies

Figure 9. Entertainment and Games Case Studies

Figure 10. E-commerce Case Studies

Figure 11. Finance Case Studies

Figure 12. others Case Studies

Figure 13. Content Recommendation Engines Report Years Considered

Figure 14. Global Content Recommendation Engines Market Size (US$ Million), Year-over-Year: 2020-2031

Figure 15. Global Content Recommendation Engines Market Size, (US$ Million), 2020 VS 2024 VS 2031

Figure 16. Global Content Recommendation Engines Market Share by Region: 2024 VS 2031

Figure 17. Global Content Recommendation Engines Market Share by Players in 2024

Figure 18. 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 2024)

Figure 19. The Top 10 and 5 Players Market Share by Content Recommendation Engines Revenue in 2024

Figure 20. North America Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 21. North America Content Recommendation Engines Market Share by Country (2020-2031)

Figure 22. United States Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 23. Canada Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 24. Europe Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 25. Europe Content Recommendation Engines Market Share by Country (2020-2031)

Figure 26. Germany Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 27. France Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 28. U.K. Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 29. Italy Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 30. Russia Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 31. Nordic Countries Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 32. Asia-Pacific Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 33. Asia-Pacific Content Recommendation Engines Market Share by Region (2020-2031)

Figure 34. China Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 35. Japan Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 36. South Korea Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 37. Southeast Asia Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 38. India Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 39. Australia Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 40. Latin America Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 41. Latin America Content Recommendation Engines Market Share by Country (2020-2031)

Figure 42. Mexico Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 43. Brazil Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 44. Middle East & Africa Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 45. Middle East & Africa Content Recommendation Engines Market Share by Country (2020-2031)

Figure 46. Turkey Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 47. Saudi Arabia Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 48. UAE Content Recommendation Engines Market Size YoY Growth (2020-2031) & (US$ Million)

Figure 49. Taboola Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 50. Outbrain Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 51. Dynamic Yield (McDonald) Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 52. Amazon Web Services Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 53. Adobe Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 54. Kibo Commerce Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 55. Optimizely Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 56. Salesforce (Evergage) Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 57. Zeta Global Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 58. Emarsys (SAP) Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 59. Algonomy Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 60. ThinkAnalytics Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 61. Alibaba Cloud Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 62. Tencent. Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 63. Baidu Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 64. Byte Dance Revenue Growth Rate in Content Recommendation Engines Business (2020-2025)

Figure 65. Bottom-up and Top-down Approaches for This Report

Figure 66. Data Triangulation

Figure 67. Key Executives Interviewed

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