Summary
According to APO Research, The global Content Recommendation Engines market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Content Recommendation Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
Asia-Pacific market for Content Recommendation Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Content Recommendation Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
Europe market for Content Recommendation Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The major global companies of Content Recommendation Engines include Taboola, Outbrain, Dynamic Yield (McDonald), Amazon Web Services, Adobe, Kibo Commerce, Optimizely, Salesforce (Evergage) and Zeta Global, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Content Recommendation Engines, market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Content Recommendation Engines, also provides the revenue of main regions and countries. Of the upcoming market potential for Content Recommendation Engines, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Content Recommendation Engines revenue, market share and industry ranking of main manufacturers, data from 2019 to 2024. Identification of the major stakeholders in the global Content Recommendation Engines market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Content Recommendation Engines revenue, projected growth trends, production technology, application and end-user industry.
Content Recommendation Engines segment 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
Content Recommendation Engines segment by Deployment Mode
Local Deployment
Cloud Deployment
Content Recommendation Engines segment by Application
News and Media
Entertainment and Games
E-commerce
Finance
others
Content Recommendation Engines segment by Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Content Recommendation Engines market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Content Recommendation Engines and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Content Recommendation Engines.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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 the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Content Recommendation Engines in global and regional level. 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 4: Detailed analysis of Content Recommendation Engines company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Content Recommendation Engines revenue, gross margin, and recent development, etc.
Chapter 8: North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: Middle East, Africa, and Latin America type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
1 Market Overview
1.1 Product Definition
1.2 Content Recommendation Engines Market by Deployment Mode
1.2.1 Global Content Recommendation Engines Market Size by Deployment Mode, 2019 VS 2023 VS 2030
1.2.2 Local Deployment
1.2.3 Cloud Deployment
1.3 Content Recommendation Engines Market by Application
1.3.1 Global Content Recommendation Engines Market Size 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 Assumptions and Limitations
1.5 Study Goals and Objectives
2 Content Recommendation Engines Market Dynamics
2.1 Content Recommendation Engines Industry Trends
2.2 Content Recommendation Engines Industry Drivers
2.3 Content Recommendation Engines Industry Opportunities and Challenges
2.4 Content Recommendation Engines Industry Restraints
3 Global Growth Perspective
3.1 Global Content Recommendation Engines Market Perspective (2019-2030)
3.2 Global Content Recommendation Engines Growth Trends by Region
3.2.1 Global Content Recommendation Engines Market Size by Region: 2019 VS 2023 VS 2030
3.2.2 Global Content Recommendation Engines Market Size by Region (2019-2024)
3.2.3 Global Content Recommendation Engines Market Size by Region (2025-2030)
4 Competitive Landscape by Players
4.1 Global Content Recommendation Engines Revenue by Players
4.1.1 Global Content Recommendation Engines Revenue by Players (2019-2024)
4.1.2 Global Content Recommendation Engines Revenue Market Share by Players (2019-2024)
4.1.3 Global Content Recommendation Engines Players Revenue Share Top 10 and Top 5 in 2023
4.2 Global Content Recommendation Engines Key Players Ranking, 2022 VS 2023 VS 2024
4.3 Global Content Recommendation Engines Key Players Headquarters & Area Served
4.4 Global Content Recommendation Engines Players, Product Type & Application
4.5 Global Content Recommendation Engines Players Commercialization Time
4.6 Market Competitive Analysis
4.6.1 Global Content Recommendation Engines Market CR5 and HHI
4.6.2 Global Top 5 and 10 Content Recommendation Engines Players Market Share by Revenue in 2023
4.6.3 2023 Content Recommendation Engines Tier 1, Tier 2, and Tier 3
5 Content Recommendation Engines Market Size by Type
5.1 Global Content Recommendation Engines Revenue by Type (2019 VS 2023 VS 2030)
5.2 Global Content Recommendation Engines Revenue by Type (2019-2030)
5.3 Global Content Recommendation Engines Revenue Market Share by Type (2019-2030)
6 Content Recommendation Engines Market Size by Application
6.1 Global Content Recommendation Engines Revenue by Application (2019 VS 2023 VS 2030)
6.2 Global Content Recommendation Engines Revenue by Application (2019-2030)
6.3 Global Content Recommendation Engines Revenue Market Share by Application (2019-2030)
7 Company Profiles
7.1 Taboola
7.1.1 Taboola Comapny Information
7.1.2 Taboola Business Overview
7.1.3 Taboola Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.1.4 Taboola Content Recommendation Engines Product Portfolio
7.1.5 Taboola Recent Developments
7.2 Outbrain
7.2.1 Outbrain Comapny Information
7.2.2 Outbrain Business Overview
7.2.3 Outbrain Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.2.4 Outbrain Content Recommendation Engines Product Portfolio
7.2.5 Outbrain Recent Developments
7.3 Dynamic Yield (McDonald)
7.3.1 Dynamic Yield (McDonald) Comapny Information
7.3.2 Dynamic Yield (McDonald) Business Overview
7.3.3 Dynamic Yield (McDonald) Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.3.4 Dynamic Yield (McDonald) Content Recommendation Engines Product Portfolio
7.3.5 Dynamic Yield (McDonald) Recent Developments
7.4 Amazon Web Services
7.4.1 Amazon Web Services Comapny Information
7.4.2 Amazon Web Services Business Overview
7.4.3 Amazon Web Services Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.4.4 Amazon Web Services Content Recommendation Engines Product Portfolio
7.4.5 Amazon Web Services Recent Developments
7.5 Adobe
7.5.1 Adobe Comapny Information
7.5.2 Adobe Business Overview
7.5.3 Adobe Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.5.4 Adobe Content Recommendation Engines Product Portfolio
7.5.5 Adobe Recent Developments
7.6 Kibo Commerce
7.6.1 Kibo Commerce Comapny Information
7.6.2 Kibo Commerce Business Overview
7.6.3 Kibo Commerce Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.6.4 Kibo Commerce Content Recommendation Engines Product Portfolio
7.6.5 Kibo Commerce Recent Developments
7.7 Optimizely
7.7.1 Optimizely Comapny Information
7.7.2 Optimizely Business Overview
7.7.3 Optimizely Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.7.4 Optimizely Content Recommendation Engines Product Portfolio
7.7.5 Optimizely Recent Developments
7.8 Salesforce (Evergage)
7.8.1 Salesforce (Evergage) Comapny Information
7.8.2 Salesforce (Evergage) Business Overview
7.8.3 Salesforce (Evergage) Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.8.4 Salesforce (Evergage) Content Recommendation Engines Product Portfolio
7.8.5 Salesforce (Evergage) Recent Developments
7.9 Zeta Global
7.9.1 Zeta Global Comapny Information
7.9.2 Zeta Global Business Overview
7.9.3 Zeta Global Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.9.4 Zeta Global Content Recommendation Engines Product Portfolio
7.9.5 Zeta Global Recent Developments
7.10 Emarsys (SAP)
7.10.1 Emarsys (SAP) Comapny Information
7.10.2 Emarsys (SAP) Business Overview
7.10.3 Emarsys (SAP) Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.10.4 Emarsys (SAP) Content Recommendation Engines Product Portfolio
7.10.5 Emarsys (SAP) Recent Developments
7.11 Algonomy
7.11.1 Algonomy Comapny Information
7.11.2 Algonomy Business Overview
7.11.3 Algonomy Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.11.4 Algonomy Content Recommendation Engines Product Portfolio
7.11.5 Algonomy Recent Developments
7.12 ThinkAnalytics
7.12.1 ThinkAnalytics Comapny Information
7.12.2 ThinkAnalytics Business Overview
7.12.3 ThinkAnalytics Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.12.4 ThinkAnalytics Content Recommendation Engines Product Portfolio
7.12.5 ThinkAnalytics Recent Developments
7.13 Alibaba Cloud
7.13.1 Alibaba Cloud Comapny Information
7.13.2 Alibaba Cloud Business Overview
7.13.3 Alibaba Cloud Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.13.4 Alibaba Cloud Content Recommendation Engines Product Portfolio
7.13.5 Alibaba Cloud Recent Developments
7.14 Tencent.
7.14.1 Tencent. Comapny Information
7.14.2 Tencent. Business Overview
7.14.3 Tencent. Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.14.4 Tencent. Content Recommendation Engines Product Portfolio
7.14.5 Tencent. Recent Developments
7.15 Baidu
7.15.1 Baidu Comapny Information
7.15.2 Baidu Business Overview
7.15.3 Baidu Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.15.4 Baidu Content Recommendation Engines Product Portfolio
7.15.5 Baidu Recent Developments
7.16 Byte Dance
7.16.1 Byte Dance Comapny Information
7.16.2 Byte Dance Business Overview
7.16.3 Byte Dance Content Recommendation Engines Revenue and Gross Margin (2019-2024)
7.16.4 Byte Dance Content Recommendation Engines Product Portfolio
7.16.5 Byte Dance Recent Developments
8 North America
8.1 North America Content Recommendation Engines Revenue (2019-2030)
8.2 North America Content Recommendation Engines Revenue by Deployment Mode (2019-2030)
8.2.1 North America Content Recommendation Engines Revenue by Deployment Mode (2019-2024)
8.2.2 North America Content Recommendation Engines Revenue by Deployment Mode (2025-2030)
8.3 North America Content Recommendation Engines Revenue Share by Deployment Mode (2019-2030)
8.4 North America Content Recommendation Engines Revenue by Application (2019-2030)
8.4.1 North America Content Recommendation Engines Revenue by Application (2019-2024)
8.4.2 North America Content Recommendation Engines Revenue by Application (2025-2030)
8.5 North America Content Recommendation Engines Revenue Share by Application (2019-2030)
8.6 North America Content Recommendation Engines Revenue by Country
8.6.1 North America Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030)
8.6.2 North America Content Recommendation Engines Revenue by Country (2019-2024)
8.6.3 North America Content Recommendation Engines Revenue by Country (2025-2030)
8.6.4 United States
8.6.5 Canada
9 Europe
9.1 Europe Content Recommendation Engines Revenue (2019-2030)
9.2 Europe Content Recommendation Engines Revenue by Deployment Mode (2019-2030)
9.2.1 Europe Content Recommendation Engines Revenue by Deployment Mode (2019-2024)
9.2.2 Europe Content Recommendation Engines Revenue by Deployment Mode (2025-2030)
9.3 Europe Content Recommendation Engines Revenue Share by Deployment Mode (2019-2030)
9.4 Europe Content Recommendation Engines Revenue by Application (2019-2030)
9.4.1 Europe Content Recommendation Engines Revenue by Application (2019-2024)
9.4.2 Europe Content Recommendation Engines Revenue by Application (2025-2030)
9.5 Europe Content Recommendation Engines Revenue Share by Application (2019-2030)
9.6 Europe Content Recommendation Engines Revenue by Country
9.6.1 Europe Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030)
9.6.2 Europe Content Recommendation Engines Revenue by Country (2019-2024)
9.6.3 Europe Content Recommendation Engines Revenue by Country (2025-2030)
9.6.4 Germany
9.6.5 France
9.6.6 U.K.
9.6.7 Italy
9.6.8 Russia
10 China
10.1 China Content Recommendation Engines Revenue (2019-2030)
10.2 China Content Recommendation Engines Revenue by Deployment Mode (2019-2030)
10.2.1 China Content Recommendation Engines Revenue by Deployment Mode (2019-2024)
10.2.2 China Content Recommendation Engines Revenue by Deployment Mode (2025-2030)
10.3 China Content Recommendation Engines Revenue Share by Deployment Mode (2019-2030)
10.4 China Content Recommendation Engines Revenue by Application (2019-2030)
10.4.1 China Content Recommendation Engines Revenue by Application (2019-2024)
10.4.2 China Content Recommendation Engines Revenue by Application (2025-2030)
10.5 China Content Recommendation Engines Revenue Share by Application (2019-2030)
11 Asia (Excluding China)
11.1 Asia Content Recommendation Engines Revenue (2019-2030)
11.2 Asia Content Recommendation Engines Revenue by Deployment Mode (2019-2030)
11.2.1 Asia Content Recommendation Engines Revenue by Deployment Mode (2019-2024)
11.2.2 Asia Content Recommendation Engines Revenue by Deployment Mode (2025-2030)
11.3 Asia Content Recommendation Engines Revenue Share by Deployment Mode (2019-2030)
11.4 Asia Content Recommendation Engines Revenue by Application (2019-2030)
11.4.1 Asia Content Recommendation Engines Revenue by Application (2019-2024)
11.4.2 Asia Content Recommendation Engines Revenue by Application (2025-2030)
11.5 Asia Content Recommendation Engines Revenue Share by Application (2019-2030)
11.6 Asia Content Recommendation Engines Revenue by Country
11.6.1 Asia Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030)
11.6.2 Asia Content Recommendation Engines Revenue by Country (2019-2024)
11.6.3 Asia Content Recommendation Engines Revenue by Country (2025-2030)
11.6.4 Japan
11.6.5 South Korea
11.6.6 India
11.6.7 Australia
11.6.8 China Taiwan
11.6.9 Southeast Asia
12 Middle East, Africa, Latin America
12.1 MEALA Content Recommendation Engines Revenue (2019-2030)
12.2 MEALA Content Recommendation Engines Revenue by Deployment Mode (2019-2030)
12.2.1 MEALA Content Recommendation Engines Revenue by Deployment Mode (2019-2024)
12.2.2 MEALA Content Recommendation Engines Revenue by Deployment Mode (2025-2030)
12.3 MEALA Content Recommendation Engines Revenue Share by Deployment Mode (2019-2030)
12.4 MEALA Content Recommendation Engines Revenue by Application (2019-2030)
12.4.1 MEALA Content Recommendation Engines Revenue by Application (2019-2024)
12.4.2 MEALA Content Recommendation Engines Revenue by Application (2025-2030)
12.5 MEALA Content Recommendation Engines Revenue Share by Application (2019-2030)
12.6 MEALA Content Recommendation Engines Revenue by Country
12.6.1 MEALA Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030)
12.6.2 MEALA Content Recommendation Engines Revenue by Country (2019-2024)
12.6.3 MEALA Content Recommendation Engines Revenue by Country (2025-2030)
12.6.4 Mexico
12.6.5 Brazil
12.6.6 Israel
12.6.7 Argentina
12.6.8 Colombia
12.6.9 Turkey
12.6.10 Saudi Arabia
12.6.11 UAE
13 Concluding Insights
14 Appendix
14.1 Reasons for Doing This Study
14.2 Research Methodology
14.3 Research Process
14.4 Authors List of This Report
14.5 Data Source
14.5.1 Secondary Sources
14.5.2 Primary Sources
14.6 Disclaimer
List of Tables
Table 1. Global Content Recommendation Engines Market Size Growth Rate by Deployment Mode (US$ Million), 2019 VS 2023 VS 2030
Table 1. Local Deployment Major Manufacturers
Table 2. Cloud Deployment Major Manufacturers
Table 3. Global Content Recommendation Engines Market Size Growth Rate by Application (US$ Million), 2019 VS 2023 VS 2030
Table 4. News and Media Major Manufacturers
Table 5. Entertainment and Games Major Manufacturers
Table 6. E-commerce Major Manufacturers
Table 7. Finance Major Manufacturers
Table 8. others Major Manufacturers
Table 9. Content Recommendation Engines Industry Trends
Table 10. Content Recommendation Engines Industry Drivers
Table 11. Content Recommendation Engines Industry Opportunities and Challenges
Table 12. Content Recommendation Engines Industry Restraints
Table 13. Global Content Recommendation Engines Market Size Growth Rate (CAGR) by Region (US$ Million): 2019 VS 2023 VS 2030
Table 14. Global Content Recommendation Engines Market Size by Region (2019-2024) & (US$ Million)
Table 15. Global Content Recommendation Engines Market Share by Region (2019-2024)
Table 16. Global Content Recommendation Engines Market Size by Region (2025-2030) & (US$ Million)
Table 17. Global Content Recommendation Engines Market Share by Region (2025-2030)
Table 18. Global Content Recommendation Engines Revenue by Players (US$ Million) & (2019-2024)
Table 19. Global Content Recommendation Engines Revenue Market Share by Players (2019-2024)
Table 20. Global Content Recommendation Engines Key Players Ranking, 2022 VS 2023 VS 2024
Table 21. Global Content Recommendation Engines Key Players Headquarters & Area Served
Table 22. Global Content Recommendation Engines Players, Product Type & Application
Table 23. Global Content Recommendation Engines Players Commercialization Time
Table 24. Global Players Market Concentration Ratio (CR5 and HHI)
Table 25. Global Content Recommendation Engines by Players Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue of 2023)
Table 26. Global Content Recommendation Engines Revenue by Deployment Mode 2019 VS 2023 VS 2030 (US$ Million)
Table 27. Global Content Recommendation Engines Revenue by Deployment Mode (2019-2024) & (US$ Million)
Table 28. Global Content Recommendation Engines Revenue by Deployment Mode (2025-2030) & (US$ Million)
Table 29. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2019-2024) & (US$ Million)
Table 30. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2025-2030) & (US$ Million)
Table 31. Global Content Recommendation Engines Revenue by Application 2019 VS 2023 VS 2030 (US$ Million)
Table 32. Global Content Recommendation Engines Revenue by Application (2019-2024) & (US$ Million)
Table 33. Global Content Recommendation Engines Revenue by Application (2025-2030) & (US$ Million)
Table 34. Global Content Recommendation Engines Revenue Market Share by Application (2019-2024) & (US$ Million)
Table 35. Global Content Recommendation Engines Revenue Market Share by Application (2025-2030) & (US$ Million)
Table 36. Taboola Company Information
Table 37. Taboola Business Overview
Table 38. Taboola Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 39. Taboola Content Recommendation Engines Product Portfolio
Table 40. Taboola Recent Development
Table 41. Outbrain Company Information
Table 42. Outbrain Business Overview
Table 43. Outbrain Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 44. Outbrain Content Recommendation Engines Product Portfolio
Table 45. Outbrain Recent Development
Table 46. Dynamic Yield (McDonald) Company Information
Table 47. Dynamic Yield (McDonald) Business Overview
Table 48. Dynamic Yield (McDonald) Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 49. Dynamic Yield (McDonald) Content Recommendation Engines Product Portfolio
Table 50. Dynamic Yield (McDonald) Recent Development
Table 51. Amazon Web Services Company Information
Table 52. Amazon Web Services Business Overview
Table 53. Amazon Web Services Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 54. Amazon Web Services Content Recommendation Engines Product Portfolio
Table 55. Amazon Web Services Recent Development
Table 56. Adobe Company Information
Table 57. Adobe Business Overview
Table 58. Adobe Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 59. Adobe Content Recommendation Engines Product Portfolio
Table 60. Adobe Recent Development
Table 61. Kibo Commerce Company Information
Table 62. Kibo Commerce Business Overview
Table 63. Kibo Commerce Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 64. Kibo Commerce Content Recommendation Engines Product Portfolio
Table 65. Kibo Commerce Recent Development
Table 66. Optimizely Company Information
Table 67. Optimizely Business Overview
Table 68. Optimizely Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 69. Optimizely Content Recommendation Engines Product Portfolio
Table 70. Optimizely Recent Development
Table 71. Salesforce (Evergage) Company Information
Table 72. Salesforce (Evergage) Business Overview
Table 73. Salesforce (Evergage) Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 74. Salesforce (Evergage) Content Recommendation Engines Product Portfolio
Table 75. Salesforce (Evergage) Recent Development
Table 76. Zeta Global Company Information
Table 77. Zeta Global Business Overview
Table 78. Zeta Global Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 79. Zeta Global Content Recommendation Engines Product Portfolio
Table 80. Zeta Global Recent Development
Table 81. Emarsys (SAP) Company Information
Table 82. Emarsys (SAP) Business Overview
Table 83. Emarsys (SAP) Content Recommendation Engines Revenue and Gross Margin (US$ Million) & (2019-2024)
Table 84. Emarsys (SAP) Content Recommendation Engines Product Portfolio
Table 85. Emarsys (SAP) Recent Development
Table 86. Algonomy Company Information
Table 87. Algonomy Business Overview
Table 88. Algonomy Content Recommendation Engines Sales (), Revenue (US$ Million), Price () and Gross Margin (2019-2024)
Table 89. Algonomy Content Recommendation Engines Product Portfolio
Table 90. Algonomy Recent Development
Table 91. ThinkAnalytics Company Information
Table 92. ThinkAnalytics Business Overview
Table 93. ThinkAnalytics Content Recommendation Engines Sales (), Revenue (US$ Million), Price () and Gross Margin (2019-2024)
Table 94. ThinkAnalytics Content Recommendation Engines Product Portfolio
Table 95. ThinkAnalytics Recent Development
Table 96. Alibaba Cloud Company Information
Table 97. Alibaba Cloud Business Overview
Table 98. Alibaba Cloud Content Recommendation Engines Sales (), Revenue (US$ Million), Price () and Gross Margin (2019-2024)
Table 99. Alibaba Cloud Content Recommendation Engines Product Portfolio
Table 100. Alibaba Cloud Recent Development
Table 101. Tencent. Company Information
Table 102. Tencent. Business Overview
Table 103. Tencent. Content Recommendation Engines Sales (), Revenue (US$ Million), Price () and Gross Margin (2019-2024)
Table 104. Tencent. Content Recommendation Engines Product Portfolio
Table 105. Tencent. Recent Development
Table 106. Baidu Company Information
Table 107. Baidu Business Overview
Table 108. Baidu Content Recommendation Engines Sales (), Revenue (US$ Million), Price () and Gross Margin (2019-2024)
Table 109. Baidu Content Recommendation Engines Product Portfolio
Table 110. Baidu Recent Development
Table 111. Byte Dance Company Information
Table 112. Byte Dance Business Overview
Table 113. Byte Dance Content Recommendation Engines Sales (), Revenue (US$ Million), Price () and Gross Margin (2019-2024)
Table 114. Byte Dance Content Recommendation Engines Product Portfolio
Table 115. Byte Dance Recent Development
Table 116. North America Content Recommendation Engines Revenue by Deployment Mode (2019-2024) & (US$ Million)
Table 117. North America Content Recommendation Engines Revenue by Application (2019-2024) & (US$ Million)
Table 118. North America Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 119. North America Content Recommendation Engines Revenue by Country (2019-2024) & (US$ Million)
Table 120. North America Content Recommendation Engines Revenue by Country (2025-2030) & (US$ Million)
Table 121. Europe Content Recommendation Engines Revenue by Deployment Mode (2019-2024) & (US$ Million)
Table 122. Europe Content Recommendation Engines Revenue by Application (2019-2024) & (US$ Million)
Table 123. Europe Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 124. Europe Content Recommendation Engines Revenue by Country (2019-2024) & (US$ Million)
Table 125. Europe Content Recommendation Engines Revenue by Country (2025-2030) & (US$ Million)
Table 126. China Content Recommendation Engines Revenue by Deployment Mode (2019-2024) & (US$ Million)
Table 127. China Content Recommendation Engines Revenue by Application (2019-2024) & (US$ Million)
Table 128. Asia Content Recommendation Engines Revenue by Deployment Mode (2019-2024) & (US$ Million)
Table 129. Asia Content Recommendation Engines Revenue by Application (2019-2024) & (US$ Million)
Table 130. Asia Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 131. Asia Content Recommendation Engines Revenue by Country (2019-2024) & (US$ Million)
Table 132. Asia Content Recommendation Engines Revenue by Country (2025-2030) & (US$ Million)
Table 133. MEALA Content Recommendation Engines Revenue by Deployment Mode (2019-2024) & (US$ Million)
Table 134. MEALA Content Recommendation Engines Revenue by Application (2019-2024) & (US$ Million)
Table 135. MEALA Content Recommendation Engines Revenue by Country (2019 VS 2023 VS 2030) & (US$ Million)
Table 136. MEALA Content Recommendation Engines Revenue by Country (2019-2024) & (US$ Million)
Table 137. MEALA Content Recommendation Engines Revenue by Country (2025-2030) & (US$ Million)
Table 138. Research Programs/Design for This Report
Table 139. Authors List of This Report
Table 140. Secondary Sources
Table 141. Primary Sources
List of Figures
Figure 1. Content Recommendation Engines Product Picture
Figure 2. Global Content Recommendation Engines Market Size Growth Rate by Deployment Mode (US$ Million), 2019 VS 2023 VS 2030
Figure 3. Global Content Recommendation Engines Market Size Share 2019 VS 2023 VS 2030
Figure 4. Local Deployment Picture
Figure 5. Cloud Deployment Picture
Figure 6. Global Content Recommendation Engines Market Size Growth Rate by Application (US$ Million), 2019 VS 2023 VS 2030
Figure 7. Global Content Recommendation Engines Market Size Share 2019 VS 2023 VS 2030
Figure 8. News and Media Picture
Figure 9. Entertainment and Games Picture
Figure 10. E-commerce Picture
Figure 11. Finance Picture
Figure 12. others Picture
Figure 13. Global Content Recommendation Engines Market Size (US$ Million) & (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: 2019 VS 2023 VS 2030
Figure 16. Global Content Recommendation Engines Players Revenue Share Top 10 and Top 5 in 2023
Figure 17. Players Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
Figure 18. Global Content Recommendation Engines Revenue by Deployment Mode (2019 VS 2023 VS 2030) & (US$ Million)
Figure 19. Global Content Recommendation Engines Revenue Market Share 2019 VS 2023 VS 2030
Figure 20. Global Content Recommendation Engines Revenue Market Share by Deployment Mode (2019-2030)
Figure 21. Global Content Recommendation Engines Revenue by Application (2019 VS 2023 VS 2030) & (US$ Million)
Figure 22. Global Content Recommendation Engines Revenue Market Share by Application (2019 VS 2023 VS 2030)
Figure 23. Global Content Recommendation Engines Revenue Market Share by Application (2019-2030)
Figure 24. North America Content Recommendation Engines Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 25. North America Content Recommendation Engines Revenue by Type (2025-2030) & (US$ Million)
Figure 26. North America Content Recommendation Engines Revenue Share by Type (2019-2030)
Figure 27. North America Content Recommendation Engines Revenue by Application (2025-2030) & (US$ Million)
Figure 28. North America Content Recommendation Engines Revenue Share by Application (2019-2030)
Figure 29. North America Content Recommendation Engines Revenue Share by Country (2019-2030)
Figure 30. United States Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 31. Canada Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 32. Europe Content Recommendation Engines Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 33. Europe Content Recommendation Engines Revenue by Type (2025-2030) & (US$ Million)
Figure 34. Europe Content Recommendation Engines Revenue Share by Type (2019-2030)
Figure 35. Europe Content Recommendation Engines Revenue by Application (2025-2030) & (US$ Million)
Figure 36. Europe Content Recommendation Engines Revenue Share by Application (2019-2030)
Figure 37. Europe Content Recommendation Engines Revenue Share by Country (2019-2030)
Figure 38. Germany Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 39. France Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 40. U.K. Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 41. Italy Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 42. Russia Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 43. Nordic Countries Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 44. China Content Recommendation Engines Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 45. China Content Recommendation Engines Revenue by Type (2025-2030) & (US$ Million)
Figure 46. China Content Recommendation Engines Revenue Share by Type (2019-2030)
Figure 47. China Content Recommendation Engines Revenue by Application (2025-2030) & (US$ Million)
Figure 48. China Content Recommendation Engines Revenue Share by Application (2019-2030)
Figure 49. Asia Content Recommendation Engines Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 50. Asia Content Recommendation Engines Revenue by Type (2025-2030) & (US$ Million)
Figure 51. Asia Content Recommendation Engines Revenue Share by Type (2019-2030)
Figure 52. Asia Content Recommendation Engines Revenue by Application (2025-2030) & (US$ Million)
Figure 53. Asia Content Recommendation Engines Revenue Share by Application (2019-2030)
Figure 54. Asia Content Recommendation Engines Revenue Share by Country (2019-2030)
Figure 55. Japan Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 56. South Korea Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 57. India Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 58. Australia Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 59. China Taiwan Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 60. Southeast Asia Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 61. MEALA Content Recommendation Engines Revenue YoY Growth (2019-2030) & (US$ Million)
Figure 62. MEALA Content Recommendation Engines Revenue by Type (2025-2030) & (US$ Million)
Figure 63. MEALA Content Recommendation Engines Revenue Share by Type (2019-2030)
Figure 64. MEALA Content Recommendation Engines Revenue by Application (2025-2030) & (US$ Million)
Figure 65. MEALA Content Recommendation Engines Revenue Share by Application (2019-2030)
Figure 66. MEALA Content Recommendation Engines Revenue Share by Country (2019-2030)
Figure 67. Mexico Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 68. South Korea Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 69. Brazil Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 70. Israel Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 71. Argentina Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 72. Colombia Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 73. Turkey Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 74. Saudi Arabia Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 75. UAE Content Recommendation Engines Revenue YoY Growth (US$ Million) & (2019-2030)
Figure 76. Years Considered
Figure 77. Research Process
Figure 78. Key Executives Interviewed
