Content Recommendation Engines Market - Global Outlook and Forecast 2023-2028

Report ID: 1077741 | Published Date: Jan 2025 | No. of Page: 109 | Base Year: 2024 | Rating: 5 | Webstory: Check our Web story
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1 Introduction to Research & Analysis Reports
    1.1 Content Recommendation Engines Market Definition
    1.2 Market Segments
        1.2.1 Market by Deployment Mode
        1.2.2 Market by Application
    1.3 Global Content Recommendation Engines Market Overview
    1.4 Features & Benefits of This Report
    1.5 Methodology & Sources of Information
        1.5.1 Research Methodology
        1.5.2 Research Process
        1.5.3 Base Year
        1.5.4 Report Assumptions & Caveats
2 Global Content Recommendation Engines Overall Market Size
    2.1 Global Content Recommendation Engines Market Size: 2021 VS 2028
    2.2 Global Content Recommendation Engines Market Size, Prospects & Forecasts: 2017-2028
    2.3 Key Market Trends, Opportunity, Drivers and Restraints
        2.3.1 Market Opportunities & Trends
        2.3.2 Market Drivers
        2.3.3 Market Restraints
3 Company Landscape
    3.1 Top Content Recommendation Engines Players in Global Market
    3.2 Top Global Content Recommendation Engines Companies Ranked by Revenue
    3.3 Global Content Recommendation Engines Revenue by Companies
    3.4 Top 3 and Top 5 Content Recommendation Engines Companies in Global Market, by Revenue in 2021
    3.5 Global Companies Content Recommendation Engines Product Type
    3.6 Tier 1, Tier 2 and Tier 3 Content Recommendation Engines Players in Global Market
        3.6.1 List of Global Tier 1 Content Recommendation Engines Companies
        3.6.2 List of Global Tier 2 and Tier 3 Content Recommendation Engines Companies
4 Market Sights by Product
    4.1 Overview
        4.1.1 by Deployment Mode - Global Content Recommendation Engines Market Size Markets, 2021 & 2028
        4.1.2 Local Deployment
        4.1.3 Cloud Deployment
    4.2 By Deployment Mode - Global Content Recommendation Engines Revenue & Forecasts
        4.2.1 By Deployment Mode - Global Content Recommendation Engines Revenue, 2017-2022
        4.2.2 By Deployment Mode - Global Content Recommendation Engines Revenue, 2023-2028
        4.2.3 By Deployment Mode - Global Content Recommendation Engines Revenue Market Share, 2017-2028
5 Sights by Application
    5.1 Overview
        5.1.1 By Application - Global Content Recommendation Engines Market Size, 2021 & 2028
        5.1.2 News and Media
        5.1.3 Entertainment and Games
        5.1.4 E-commerce
        5.1.5 Finance
        5.1.6 others
    5.2 By Application - Global Content Recommendation Engines Revenue & Forecasts
        5.2.1 By Application - Global Content Recommendation Engines Revenue, 2017-2022
        5.2.2 By Application - Global Content Recommendation Engines Revenue, 2023-2028
        5.2.3 By Application - Global Content Recommendation Engines Revenue Market Share, 2017-2028
6 Sights by Region
    6.1 By Region - Global Content Recommendation Engines Market Size, 2021 & 2028
    6.2 By Region - Global Content Recommendation Engines Revenue & Forecasts
        6.2.1 By Region - Global Content Recommendation Engines Revenue, 2017-2022
        6.2.2 By Region - Global Content Recommendation Engines Revenue, 2023-2028
        6.2.3 By Region - Global Content Recommendation Engines Revenue Market Share, 2017-2028
    6.3 North America
        6.3.1 By Country - North America Content Recommendation Engines Revenue, 2017-2028
        6.3.2 US Content Recommendation Engines Market Size, 2017-2028
        6.3.3 Canada Content Recommendation Engines Market Size, 2017-2028
        6.3.4 Mexico Content Recommendation Engines Market Size, 2017-2028
    6.4 Europe
        6.4.1 By Country - Europe Content Recommendation Engines Revenue, 2017-2028
        6.4.2 Germany Content Recommendation Engines Market Size, 2017-2028
        6.4.3 France Content Recommendation Engines Market Size, 2017-2028
        6.4.4 U.K. Content Recommendation Engines Market Size, 2017-2028
        6.4.5 Italy Content Recommendation Engines Market Size, 2017-2028
        6.4.6 Russia Content Recommendation Engines Market Size, 2017-2028
        6.4.7 Nordic Countries Content Recommendation Engines Market Size, 2017-2028
        6.4.8 Benelux Content Recommendation Engines Market Size, 2017-2028
    6.5 Asia
        6.5.1 By Region - Asia Content Recommendation Engines Revenue, 2017-2028
        6.5.2 China Content Recommendation Engines Market Size, 2017-2028
        6.5.3 Japan Content Recommendation Engines Market Size, 2017-2028
        6.5.4 South Korea Content Recommendation Engines Market Size, 2017-2028
        6.5.5 Southeast Asia Content Recommendation Engines Market Size, 2017-2028
        6.5.6 India Content Recommendation Engines Market Size, 2017-2028
    6.6 South America
        6.6.1 By Country - South America Content Recommendation Engines Revenue, 2017-2028
        6.6.2 Brazil Content Recommendation Engines Market Size, 2017-2028
        6.6.3 Argentina Content Recommendation Engines Market Size, 2017-2028
    6.7 Middle East & Africa
        6.7.1 By Country - Middle East & Africa Content Recommendation Engines Revenue, 2017-2028
        6.7.2 Turkey Content Recommendation Engines Market Size, 2017-2028
        6.7.3 Israel Content Recommendation Engines Market Size, 2017-2028
        6.7.4 Saudi Arabia Content Recommendation Engines Market Size, 2017-2028
        6.7.5 UAE Content Recommendation Engines Market Size, 2017-2028
7 Players Profiles
    7.1 Taboola
        7.1.1 Taboola Corporate Summary
        7.1.2 Taboola Business Overview
        7.1.3 Taboola Content Recommendation Engines Major Product Offerings
        7.1.4 Taboola Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.1.5 Taboola Key News
    7.2 Outbrain
        7.2.1 Outbrain Corporate Summary
        7.2.2 Outbrain Business Overview
        7.2.3 Outbrain Content Recommendation Engines Major Product Offerings
        7.2.4 Outbrain Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.2.5 Outbrain Key News
    7.3 Dynamic Yield (McDonald)
        7.3.1 Dynamic Yield (McDonald) Corporate Summary
        7.3.2 Dynamic Yield (McDonald) Business Overview
        7.3.3 Dynamic Yield (McDonald) Content Recommendation Engines Major Product Offerings
        7.3.4 Dynamic Yield (McDonald) Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.3.5 Dynamic Yield (McDonald) Key News
    7.4 Amazon Web Services
        7.4.1 Amazon Web Services Corporate Summary
        7.4.2 Amazon Web Services Business Overview
        7.4.3 Amazon Web Services Content Recommendation Engines Major Product Offerings
        7.4.4 Amazon Web Services Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.4.5 Amazon Web Services Key News
    7.5 Adob​​e
        7.5.1 Adob​​e Corporate Summary
        7.5.2 Adob​​e Business Overview
        7.5.3 Adob​​e Content Recommendation Engines Major Product Offerings
        7.5.4 Adob​​e Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.5.5 Adob​​e Key News
    7.6 Kibo Commerce
        7.6.1 Kibo Commerce Corporate Summary
        7.6.2 Kibo Commerce Business Overview
        7.6.3 Kibo Commerce Content Recommendation Engines Major Product Offerings
        7.6.4 Kibo Commerce Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.6.5 Kibo Commerce Key News
    7.7 Optimizely
        7.7.1 Optimizely Corporate Summary
        7.7.2 Optimizely Business Overview
        7.7.3 Optimizely Content Recommendation Engines Major Product Offerings
        7.7.4 Optimizely Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.7.5 Optimizely Key News
    7.8 Salesforce (Evergage)
        7.8.1 Salesforce (Evergage) Corporate Summary
        7.8.2 Salesforce (Evergage) Business Overview
        7.8.3 Salesforce (Evergage) Content Recommendation Engines Major Product Offerings
        7.8.4 Salesforce (Evergage) Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.8.5 Salesforce (Evergage) Key News
    7.9 Zeta Global
        7.9.1 Zeta Global Corporate Summary
        7.9.2 Zeta Global Business Overview
        7.9.3 Zeta Global Content Recommendation Engines Major Product Offerings
        7.9.4 Zeta Global Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.9.5 Zeta Global Key News
    7.10 Emarsys (SAP)
        7.10.1 Emarsys (SAP) Corporate Summary
        7.10.2 Emarsys (SAP) Business Overview
        7.10.3 Emarsys (SAP) Content Recommendation Engines Major Product Offerings
        7.10.4 Emarsys (SAP) Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.10.5 Emarsys (SAP) Key News
    7.11 Algonomy
        7.11.1 Algonomy Corporate Summary
        7.11.2 Algonomy Business Overview
        7.11.3 Algonomy Content Recommendation Engines Major Product Offerings
        7.11.4 Algonomy Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.11.5 Algonomy Key News
    7.12 ThinkAnalytics
        7.12.1 ThinkAnalytics Corporate Summary
        7.12.2 ThinkAnalytics Business Overview
        7.12.3 ThinkAnalytics Content Recommendation Engines Major Product Offerings
        7.12.4 ThinkAnalytics Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.12.5 ThinkAnalytics Key News
    7.13 Alibaba Cloud
        7.13.1 Alibaba Cloud Corporate Summary
        7.13.2 Alibaba Cloud Business Overview
        7.13.3 Alibaba Cloud Content Recommendation Engines Major Product Offerings
        7.13.4 Alibaba Cloud Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.13.5 Alibaba Cloud Key News
    7.14 Tencent.
        7.14.1 Tencent. Corporate Summary
        7.14.2 Tencent. Business Overview
        7.14.3 Tencent. Content Recommendation Engines Major Product Offerings
        7.14.4 Tencent. Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.14.5 Tencent. Key News
    7.15 Baidu
        7.15.1 Baidu Corporate Summary
        7.15.2 Baidu Business Overview
        7.15.3 Baidu Content Recommendation Engines Major Product Offerings
        7.15.4 Baidu Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.15.5 Baidu Key News
    7.16 Byte Dance
        7.16.1 Byte Dance Corporate Summary
        7.16.2 Byte Dance Business Overview
        7.16.3 Byte Dance Content Recommendation Engines Major Product Offerings
        7.16.4 Byte Dance Content Recommendation Engines Revenue in Global Market (2017-2022)
        7.16.5 Byte Dance Key News
8 Conclusion
9 Appendix
    9.1 Note
    9.2 Examples of Clients
    9.3 Disclaimer

List of Tables
    Table 1. Content Recommendation Engines Market Opportunities & Trends in Global Market
    Table 2. Content Recommendation Engines Market Drivers in Global Market
    Table 3. Content Recommendation Engines Market Restraints in Global Market
    Table 4. Key Players of Content Recommendation Engines in Global Market
    Table 5. Top Content Recommendation Engines Players in Global Market, Ranking by Revenue (2021)
    Table 6. Global Content Recommendation Engines Revenue by Companies, (US$, Mn), 2017-2022
    Table 7. Global Content Recommendation Engines Revenue Share by Companies, 2017-2022
    Table 8. Global Companies Content Recommendation Engines Product Type
    Table 9. List of Global Tier 1 Content Recommendation Engines Companies, Revenue (US$, Mn) in 2021 and Market Share
    Table 10. List of Global Tier 2 and Tier 3 Content Recommendation Engines Companies, Revenue (US$, Mn) in 2021 and Market Share
    Table 11. By Deployment Mode – Global Content Recommendation Engines Revenue, (US$, Mn), 2021 & 2028
    Table 12. By Deployment Mode - Content Recommendation Engines Revenue in Global (US$, Mn), 2017-2022
    Table 13. By Deployment Mode - Content Recommendation Engines Revenue in Global (US$, Mn), 2023-2028
    Table 14. By Application – Global Content Recommendation Engines Revenue, (US$, Mn), 2021 & 2028
    Table 15. By Application - Content Recommendation Engines Revenue in Global (US$, Mn), 2017-2022
    Table 16. By Application - Content Recommendation Engines Revenue in Global (US$, Mn), 2023-2028
    Table 17. By Region – Global Content Recommendation Engines Revenue, (US$, Mn), 2021 & 2028
    Table 18. By Region - Global Content Recommendation Engines Revenue (US$, Mn), 2017-2022
    Table 19. By Region - Global Content Recommendation Engines Revenue (US$, Mn), 2023-2028
    Table 20. By Country - North America Content Recommendation Engines Revenue, (US$, Mn), 2017-2022
    Table 21. By Country - North America Content Recommendation Engines Revenue, (US$, Mn), 2023-2028
    Table 22. By Country - Europe Content Recommendation Engines Revenue, (US$, Mn), 2017-2022
    Table 23. By Country - Europe Content Recommendation Engines Revenue, (US$, Mn), 2023-2028
    Table 24. By Region - Asia Content Recommendation Engines Revenue, (US$, Mn), 2017-2022
    Table 25. By Region - Asia Content Recommendation Engines Revenue, (US$, Mn), 2023-2028
    Table 26. By Country - South America Content Recommendation Engines Revenue, (US$, Mn), 2017-2022
    Table 27. By Country - South America Content Recommendation Engines Revenue, (US$, Mn), 2023-2028
    Table 28. By Country - Middle East & Africa Content Recommendation Engines Revenue, (US$, Mn), 2017-2022
    Table 29. By Country - Middle East & Africa Content Recommendation Engines Revenue, (US$, Mn), 2023-2028
    Table 30. Taboola Corporate Summary
    Table 31. Taboola Content Recommendation Engines Product Offerings
    Table 32. Taboola Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 33. Outbrain Corporate Summary
    Table 34. Outbrain Content Recommendation Engines Product Offerings
    Table 35. Outbrain Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 36. Dynamic Yield (McDonald) Corporate Summary
    Table 37. Dynamic Yield (McDonald) Content Recommendation Engines Product Offerings
    Table 38. Dynamic Yield (McDonald) Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 39. Amazon Web Services Corporate Summary
    Table 40. Amazon Web Services Content Recommendation Engines Product Offerings
    Table 41. Amazon Web Services Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 42. Adob​​e Corporate Summary
    Table 43. Adob​​e Content Recommendation Engines Product Offerings
    Table 44. Adob​​e Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 45. Kibo Commerce Corporate Summary
    Table 46. Kibo Commerce Content Recommendation Engines Product Offerings
    Table 47. Kibo Commerce Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 48. Optimizely Corporate Summary
    Table 49. Optimizely Content Recommendation Engines Product Offerings
    Table 50. Optimizely Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 51. Salesforce (Evergage) Corporate Summary
    Table 52. Salesforce (Evergage) Content Recommendation Engines Product Offerings
    Table 53. Salesforce (Evergage) Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 54. Zeta Global Corporate Summary
    Table 55. Zeta Global Content Recommendation Engines Product Offerings
    Table 56. Zeta Global Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 57. Emarsys (SAP) Corporate Summary
    Table 58. Emarsys (SAP) Content Recommendation Engines Product Offerings
    Table 59. Emarsys (SAP) Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 60. Algonomy Corporate Summary
    Table 61. Algonomy Content Recommendation Engines Product Offerings
    Table 62. Algonomy Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 63. ThinkAnalytics Corporate Summary
    Table 64. ThinkAnalytics Content Recommendation Engines Product Offerings
    Table 65. ThinkAnalytics Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 66. Alibaba Cloud Corporate Summary
    Table 67. Alibaba Cloud Content Recommendation Engines Product Offerings
    Table 68. Alibaba Cloud Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 69. Tencent. Corporate Summary
    Table 70. Tencent. Content Recommendation Engines Product Offerings
    Table 71. Tencent. Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 72. Baidu Corporate Summary
    Table 73. Baidu Content Recommendation Engines Product Offerings
    Table 74. Baidu Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
    Table 75. Byte Dance Corporate Summary
    Table 76. Byte Dance Content Recommendation Engines Product Offerings
    Table 77. Byte Dance Content Recommendation Engines Revenue (US$, Mn), (2017-2022)
List of Figures
    Figure 1. Content Recommendation Engines Segment by Deployment Mode in 2021
    Figure 2. Content Recommendation Engines Segment by Application in 2021
    Figure 3. Global Content Recommendation Engines Market Overview: 2020
    Figure 4. Key Caveats
    Figure 5. Global Content Recommendation Engines Market Size: 2021 VS 2028 (US$, Mn)
    Figure 6. Global Content Recommendation Engines Revenue, 2017-2028 (US$, Mn)
    Figure 7. The Top 3 and 5 Players Market Share by Content Recommendation Engines Revenue in 2021
    Figure 8. By Deployment Mode - Global Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 9. By Application - Global Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 10. By Region - Global Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 11. By Country - North America Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 12. US Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 13. Canada Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 14. Mexico Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 15. By Country - Europe Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 16. Germany Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 17. France Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 18. U.K. Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 19. Italy Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 20. Russia Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 21. Nordic Countries Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 22. Benelux Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 23. By Region - Asia Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 24. China Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 25. Japan Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 26. South Korea Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 27. Southeast Asia Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 28. India Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 29. By Country - South America Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 30. Brazil Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 31. Argentina Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 32. By Country - Middle East & Africa Content Recommendation Engines Revenue Market Share, 2017-2028
    Figure 33. Turkey Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 34. Israel Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 35. Saudi Arabia Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 36. UAE Content Recommendation Engines Revenue, (US$, Mn), 2017-2028
    Figure 37. Taboola Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 38. Outbrain Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 39. Dynamic Yield (McDonald) Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 40. Amazon Web Services Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 41. Adob​​e Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 42. Kibo Commerce Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 43. Optimizely Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 44. Salesforce (Evergage) Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 45. Zeta Global Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 46. Emarsys (SAP) Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 47. Algonomy Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 48. ThinkAnalytics Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 49. Alibaba Cloud Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 50. Tencent. Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 51. Baidu Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
    Figure 52. Byte Dance Content Recommendation Engines Revenue Year Over Year Growth (US$, Mn) & (2017-2022)
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Companies Included in Reports:
109
Frequently Asked Questions
Content Recommendation Engines Market In Global report offers great insights of the market and consumer data and their interpretation through various figures and graphs. Report has embedded global market and regional market deep analysis through various research methodologies. The report also offers great competitor analysis of the industries and highlights the key aspect of their business like success stories, market development and growth rate.
Content Recommendation Engines Market In Global report is categorised based on following features:
  1. Global Market Players
  2. Geopolitical regions
  3. Consumer Insights
  4. Technological advancement
  5. Historic and Future Analysis of the Market
Content Recommendation Engines Market In Global report is designed on the six basic aspects of analysing the market, which covers the SWOT and SWAR analysis like strength, weakness, opportunity, threat, aspirations and results. This methodology helps investors to reach on to the desired and correct decision to put their capital into the market.

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