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Content Recommendation Engine - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Industry: Internet & Communication

Published: 2024-01-24

Pages: 109 Pages

Report ld: 2337095

Description
Table of Contents
Table of Figures
PDF Download

Description
Table of Contents
Table of Figures
PDF Download

Description

A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.

The global market for Content Recommendation Engine was estimated to be worth US$ 4932 million in 2023 and is forecast to a readjusted size of US$ 16070 million by 2030 with a CAGR of 18.0% during the forecast period 2024-2030

Content Recommendation Engine Market Size

M= millions and B=billions

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.

Report Scope
This report aims to provide a comprehensive presentation of the global market for Content Recommendation Engine, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Content Recommendation Engine by region & country, by Type, and by Application.

The Content Recommendation Engine market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Engine.

Market Segmentation

Report Metric
Details
Report Title
Content Recommendation Engine - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Forecasted Market Size in 2030
US$ 16070 million
CAGR(2024-2030)
18%
Market Size Available for Years
2019-2030
Global Content Recommendation Engine Companies Covered
Amazon Web Services, Boomtrain, Certona, Curata, Cxense, Dynamic Yield, IBM, Kibo Commerce, Outbrain, Revcontent, Taboola, ThinkAnalytics
Global Content Recommendation Engine Market, by Region
North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Content Recommendation Engine Market, Segment by Type
Solution

Service
Global Content Recommendation Engine Market, Segment by Application
Media

Entertainment and Gaming

Retail and Consumer Goods

Hospitality

Others
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, global total market size. This chapter also provides 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 2: Detailed analysis of Content Recommendation Engine manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: 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 5: Revenue of Content Recommendation Engine in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Content Recommendation Engine in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Table of Contents

 1 Market Overview
    1.1 Content Recommendation Engine Product Introduction
    1.2 Global Content Recommendation Engine Market Size Forecast
    1.3 Content Recommendation Engine Market Trends & Drivers
        1.3.1 Content Recommendation Engine Industry Trends
        1.3.2 Content Recommendation Engine Market Drivers & Opportunity
        1.3.3 Content Recommendation Engine Market Challenges
        1.3.4 Content Recommendation Engine Market Restraints
    1.4 Assumptions and Limitations
    1.5 Study Objectives
    1.6 Years Considered

 2 Competitive Analysis by Company
    2.1 Global Content Recommendation Engine Players Revenue Ranking (2023)
    2.2 Global Content Recommendation Engine Revenue by Company (2019-2024)
    2.3 Key Companies Content Recommendation Engine Manufacturing Base Distribution and Headquarters
    2.4 Key Companies Content Recommendation Engine Product Offered
    2.5 Key Companies Time to Begin Mass Production of Content Recommendation Engine
    2.6 Content Recommendation Engine Market Competitive Analysis
        2.6.1 Content Recommendation Engine Market Concentration Rate (2019-2024)
        2.6.2 Global 5 and 10 Largest Companies by Content Recommendation Engine Revenue in 2023
        2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Content Recommendation Engine as of 2023)
    2.7 Mergers & Acquisitions, Expansion

 3 Segmentation by Type
    3.1 Introduction by Type
        3.1.1 Solution
        3.1.2 Service
    3.2 Global Content Recommendation Engine Sales Value by Type
        3.2.1 Global Content Recommendation Engine Sales Value by Type (2019 VS 2023 VS 2030)
        3.2.2 Global Content Recommendation Engine Sales Value, by Type (2019-2030)
        3.2.3 Global Content Recommendation Engine Sales Value, by Type (%) (2019-2030)

 4 Segmentation by Application
    4.1 Introduction by Application
        4.1.1 Media
        4.1.2 Entertainment and Gaming
        4.1.3 Retail and Consumer Goods
        4.1.4 Hospitality
        4.1.5 Others
    4.2 Global Content Recommendation Engine Sales Value by Application
        4.2.1 Global Content Recommendation Engine Sales Value by Application (2019 VS 2023 VS 2030)
        4.2.2 Global Content Recommendation Engine Sales Value, by Application (2019-2030)
        4.2.3 Global Content Recommendation Engine Sales Value, by Application (%) (2019-2030)

 5 Segmentation by Region
    5.1 Global Content Recommendation Engine Sales Value by Region
        5.1.1 Global Content Recommendation Engine Sales Value by Region: 2019 VS 2023 VS 2030
        5.1.2 Global Content Recommendation Engine Sales Value by Region (2019-2024)
        5.1.3 Global Content Recommendation Engine Sales Value by Region (2025-2030)
        5.1.4 Global Content Recommendation Engine Sales Value by Region (%), (2019-2030)
    5.2 North America
        5.2.1 North America Content Recommendation Engine Sales Value, 2019-2030
        5.2.2 North America Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    5.3 Europe
        5.3.1 Europe Content Recommendation Engine Sales Value, 2019-2030
        5.3.2 Europe Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    5.4 Asia Pacific
        5.4.1 Asia Pacific Content Recommendation Engine Sales Value, 2019-2030
        5.4.2 Asia Pacific Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    5.5 South America
        5.5.1 South America Content Recommendation Engine Sales Value, 2019-2030
        5.5.2 South America Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    5.6 Middle East & Africa
        5.6.1 Middle East & Africa Content Recommendation Engine Sales Value, 2019-2030
        5.6.2 Middle East & Africa Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030

 6 Segmentation by Key Countries/Regions
    6.1 Key Countries/Regions Content Recommendation Engine Sales Value Growth Trends, 2019 VS 2023 VS 2030
    6.2 Key Countries/Regions Content Recommendation Engine Sales Value
    6.3 United States
        6.3.1 United States Content Recommendation Engine Sales Value, 2019-2030
        6.3.2 United States Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.3.3 United States Content Recommendation Engine Sales Value by Application, 2023 VS 2030
    6.4 Europe
        6.4.1 Europe Content Recommendation Engine Sales Value, 2019-2030
        6.4.2 Europe Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.4.3 Europe Content Recommendation Engine Sales Value by Application, 2023 VS 2030
    6.5 China
        6.5.1 China Content Recommendation Engine Sales Value, 2019-2030
        6.5.2 China Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.5.3 China Content Recommendation Engine Sales Value by Application, 2023 VS 2030
    6.6 Japan
        6.6.1 Japan Content Recommendation Engine Sales Value, 2019-2030
        6.6.2 Japan Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.6.3 Japan Content Recommendation Engine Sales Value by Application, 2023 VS 2030
    6.7 South Korea
        6.7.1 South Korea Content Recommendation Engine Sales Value, 2019-2030
        6.7.2 South Korea Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.7.3 South Korea Content Recommendation Engine Sales Value by Application, 2023 VS 2030
    6.8 Southeast Asia
        6.8.1 Southeast Asia Content Recommendation Engine Sales Value, 2019-2030
        6.8.2 Southeast Asia Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.8.3 Southeast Asia Content Recommendation Engine Sales Value by Application, 2023 VS 2030
    6.9 India
        6.9.1 India Content Recommendation Engine Sales Value, 2019-2030
        6.9.2 India Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
        6.9.3 India Content Recommendation Engine Sales Value by Application, 2023 VS 2030

 7 Company Profiles
    7.1 Amazon Web Services
        7.1.1 Amazon Web Services Profile
        7.1.2 Amazon Web Services Main Business
        7.1.3 Amazon Web Services Content Recommendation Engine Products, Services and Solutions
        7.1.4 Amazon Web Services Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.1.5 Amazon Web Services Recent Developments
    7.2 Boomtrain
        7.2.1 Boomtrain Profile
        7.2.2 Boomtrain Main Business
        7.2.3 Boomtrain Content Recommendation Engine Products, Services and Solutions
        7.2.4 Boomtrain Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.2.5 Boomtrain Recent Developments
    7.3 Certona
        7.3.1 Certona Profile
        7.3.2 Certona Main Business
        7.3.3 Certona Content Recommendation Engine Products, Services and Solutions
        7.3.4 Certona Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.3.5 Curata Recent Developments
    7.4 Curata
        7.4.1 Curata Profile
        7.4.2 Curata Main Business
        7.4.3 Curata Content Recommendation Engine Products, Services and Solutions
        7.4.4 Curata Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.4.5 Curata Recent Developments
    7.5 Cxense
        7.5.1 Cxense Profile
        7.5.2 Cxense Main Business
        7.5.3 Cxense Content Recommendation Engine Products, Services and Solutions
        7.5.4 Cxense Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.5.5 Cxense Recent Developments
    7.6 Dynamic Yield
        7.6.1 Dynamic Yield Profile
        7.6.2 Dynamic Yield Main Business
        7.6.3 Dynamic Yield Content Recommendation Engine Products, Services and Solutions
        7.6.4 Dynamic Yield Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.6.5 Dynamic Yield Recent Developments
    7.7 IBM
        7.7.1 IBM Profile
        7.7.2 IBM Main Business
        7.7.3 IBM Content Recommendation Engine Products, Services and Solutions
        7.7.4 IBM Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.7.5 IBM Recent Developments
    7.8 Kibo Commerce
        7.8.1 Kibo Commerce Profile
        7.8.2 Kibo Commerce Main Business
        7.8.3 Kibo Commerce Content Recommendation Engine Products, Services and Solutions
        7.8.4 Kibo Commerce Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.8.5 Kibo Commerce Recent Developments
    7.9 Outbrain
        7.9.1 Outbrain Profile
        7.9.2 Outbrain Main Business
        7.9.3 Outbrain Content Recommendation Engine Products, Services and Solutions
        7.9.4 Outbrain Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.9.5 Outbrain Recent Developments
    7.10 Revcontent
        7.10.1 Revcontent Profile
        7.10.2 Revcontent Main Business
        7.10.3 Revcontent Content Recommendation Engine Products, Services and Solutions
        7.10.4 Revcontent Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.10.5 Revcontent Recent Developments
    7.11 Taboola
        7.11.1 Taboola Profile
        7.11.2 Taboola Main Business
        7.11.3 Taboola Content Recommendation Engine Products, Services and Solutions
        7.11.4 Taboola Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.11.5 Taboola Recent Developments
    7.12 ThinkAnalytics
        7.12.1 ThinkAnalytics Profile
        7.12.2 ThinkAnalytics Main Business
        7.12.3 ThinkAnalytics Content Recommendation Engine Products, Services and Solutions
        7.12.4 ThinkAnalytics Content Recommendation Engine Revenue (US$ Million) & (2019-2024)
        7.12.5 ThinkAnalytics Recent Developments

 8 Industry Chain Analysis
    8.1 Content Recommendation Engine Industrial Chain
    8.2 Content Recommendation Engine Upstream Analysis
        8.2.1 Key Raw Materials
        8.2.2 Raw Materials Key Suppliers
        8.2.3 Manufacturing Cost Structure
    8.3 Midstream Analysis
    8.4 Downstream Analysis (Customers Analysis)
    8.5 Sales Model and Sales Channels
        8.5.1 Content Recommendation Engine Sales Model
        8.5.2 Sales Channel
        8.5.3 Content Recommendation Engine Distributors

 9 Research Findings and Conclusion

 10 Appendix
    10.1 Research Methodology
        10.1.1 Methodology/Research Approach
        10.1.2 Data Source
    10.2 Author Details
    10.3 Disclaimer

Table of Figures

List of Tables
    Table 1. Content Recommendation Engine Market Trends
    Table 2. Content Recommendation Engine Market Drivers & Opportunity
    Table 3. Content Recommendation Engine Market Challenges
    Table 4. Content Recommendation Engine Market Restraints
    Table 5. Global Content Recommendation Engine Revenue by Company (2019-2024) & (US$ Million)
    Table 6. Global Content Recommendation Engine Revenue Market Share by Company (2019-2024)
    Table 7. Key Companies Content Recommendation Engine Manufacturing Base Distribution and Headquarters
    Table 8. Key Companies Content Recommendation Engine Product Type
    Table 9. Key Companies Time to Begin Mass Production of Content Recommendation Engine
    Table 10. Global Content Recommendation Engine Companies Market Concentration Ratio (CR5 and HHI)
    Table 11. Global Top Companies Market Share by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Content Recommendation Engine as of 2023)
    Table 12. Mergers & Acquisitions, Expansion Plans
    Table 13. Global Content Recommendation Engine Sales Value by Type: 2019 VS 2023 VS 2030 (US$ Million)
    Table 14. Global Content Recommendation Engine Sales Value by Type (2019-2024) & (US$ Million)
    Table 15. Global Content Recommendation Engine Sales Value by Type (2025-2030) & (US$ Million)
    Table 16. Global Content Recommendation Engine Sales Market Share in Value by Type (2019-2024) & (%)
    Table 17. Global Content Recommendation Engine Sales Market Share in Value by Type (2025-2030) & (%)
    Table 18. Global Content Recommendation Engine Sales Value by Application: 2019 VS 2023 VS 2030 (US$ Million)
    Table 19. Global Content Recommendation Engine Sales Value by Application (2019-2024) & (US$ Million)
    Table 20. Global Content Recommendation Engine Sales Value by Application (2025-2030) & (US$ Million)
    Table 21. Global Content Recommendation Engine Sales Market Share in Value by Application (2019-2024) & (%)
    Table 22. Global Content Recommendation Engine Sales Market Share in Value by Application (2025-2030) & (%)
    Table 23. Global Content Recommendation Engine Sales Value by Region: 2019 VS 2023 VS 2030 (US$ Million)
    Table 24. Global Content Recommendation Engine Sales Value by Region (2019-2024) & (US$ Million)
    Table 25. Global Content Recommendation Engine Sales Value by Region (2025-2030) & (US$ Million)
    Table 26. Global Content Recommendation Engine Sales Value by Region (2019-2024) & (%)
    Table 27. Global Content Recommendation Engine Sales Value by Region (2025-2030) & (%)
    Table 28. Key Countries/Regions Content Recommendation Engine Sales Value Growth Trends, (US$ Million): 2019 VS 2023 VS 2030
    Table 29. Key Countries/Regions Content Recommendation Engine Sales Value, (2019-2024) & (US$ Million)
    Table 30. Key Countries/Regions Content Recommendation Engine Sales Value, (2025-2030) & (US$ Million)
    Table 31. Amazon Web Services Basic Information List
    Table 32. Amazon Web Services Description and Business Overview
    Table 33. Amazon Web Services Content Recommendation Engine Products, Services and Solutions
    Table 34. Revenue (US$ Million) in Content Recommendation Engine Business of Amazon Web Services (2019-2024)
    Table 35. Amazon Web Services Recent Developments
    Table 36. Boomtrain Basic Information List
    Table 37. Boomtrain Description and Business Overview
    Table 38. Boomtrain Content Recommendation Engine Products, Services and Solutions
    Table 39. Revenue (US$ Million) in Content Recommendation Engine Business of Boomtrain (2019-2024)
    Table 40. Boomtrain Recent Developments
    Table 41. Certona Basic Information List
    Table 42. Certona Description and Business Overview
    Table 43. Certona Content Recommendation Engine Products, Services and Solutions
    Table 44. Revenue (US$ Million) in Content Recommendation Engine Business of Certona (2019-2024)
    Table 45. Certona Recent Developments
    Table 46. Curata Basic Information List
    Table 47. Curata Description and Business Overview
    Table 48. Curata Content Recommendation Engine Products, Services and Solutions
    Table 49. Revenue (US$ Million) in Content Recommendation Engine Business of Curata (2019-2024)
    Table 50. Curata Recent Developments
    Table 51. Cxense Basic Information List
    Table 52. Cxense Description and Business Overview
    Table 53. Cxense Content Recommendation Engine Products, Services and Solutions
    Table 54. Revenue (US$ Million) in Content Recommendation Engine Business of Cxense (2019-2024)
    Table 55. Cxense Recent Developments
    Table 56. Dynamic Yield Basic Information List
    Table 57. Dynamic Yield Description and Business Overview
    Table 58. Dynamic Yield Content Recommendation Engine Products, Services and Solutions
    Table 59. Revenue (US$ Million) in Content Recommendation Engine Business of Dynamic Yield (2019-2024)
    Table 60. Dynamic Yield Recent Developments
    Table 61. IBM Basic Information List
    Table 62. IBM Description and Business Overview
    Table 63. IBM Content Recommendation Engine Products, Services and Solutions
    Table 64. Revenue (US$ Million) in Content Recommendation Engine Business of IBM (2019-2024)
    Table 65. IBM Recent Developments
    Table 66. Kibo Commerce Basic Information List
    Table 67. Kibo Commerce Description and Business Overview
    Table 68. Kibo Commerce Content Recommendation Engine Products, Services and Solutions
    Table 69. Revenue (US$ Million) in Content Recommendation Engine Business of Kibo Commerce (2019-2024)
    Table 70. Kibo Commerce Recent Developments
    Table 71. Outbrain Basic Information List
    Table 72. Outbrain Description and Business Overview
    Table 73. Outbrain Content Recommendation Engine Products, Services and Solutions
    Table 74. Revenue (US$ Million) in Content Recommendation Engine Business of Outbrain (2019-2024)
    Table 75. Outbrain Recent Developments
    Table 76. Revcontent Basic Information List
    Table 77. Revcontent Description and Business Overview
    Table 78. Revcontent Content Recommendation Engine Products, Services and Solutions
    Table 79. Revenue (US$ Million) in Content Recommendation Engine Business of Revcontent (2019-2024)
    Table 80. Revcontent Recent Developments
    Table 81. Taboola Basic Information List
    Table 82. Taboola Description and Business Overview
    Table 83. Taboola Content Recommendation Engine Products, Services and Solutions
    Table 84. Revenue (US$ Million) in Content Recommendation Engine Business of Taboola (2019-2024)
    Table 85. Taboola Recent Developments
    Table 86. ThinkAnalytics Basic Information List
    Table 87. ThinkAnalytics Description and Business Overview
    Table 88. ThinkAnalytics Content Recommendation Engine Products, Services and Solutions
    Table 89. Revenue (US$ Million) in Content Recommendation Engine Business of ThinkAnalytics (2019-2024)
    Table 90. ThinkAnalytics Recent Developments
    Table 91. Key Raw Materials Lists
    Table 92. Raw Materials Key Suppliers Lists
    Table 93. Content Recommendation Engine Downstream Customers
    Table 94. Content Recommendation Engine Distributors List
    Table 95. Research Programs/Design for This Report
    Table 96. Key Data Information from Secondary Sources
    Table 97. Key Data Information from Primary Sources
    Table 98. Business Unit and Senior & Team Lead Analysts
List of Figures
    Figure 1. Content Recommendation Engine Product Picture
    Figure 2. Global Content Recommendation Engine Sales Value, 2019 VS 2023 VS 2030 (US$ Million)
    Figure 3. Global Content Recommendation Engine Sales Value (2019-2030) & (US$ Million)
    Figure 4. Content Recommendation Engine Report Years Considered
    Figure 5. Global Content Recommendation Engine Players Revenue Ranking (2023) & (US$ Million)
    Figure 6. The 5 and 10 Largest Manufacturers in the World: Market Share by Content Recommendation Engine Revenue in 2023
    Figure 7. Content Recommendation Engine Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023
    Figure 8. Solution Picture
    Figure 9. Service Picture
    Figure 10. Global Content Recommendation Engine Sales Value by Type (2019 VS 2023 VS 2030) & (US$ Million)
    Figure 11. Global Content Recommendation Engine Sales Value Market Share by Type, 2023 & 2030
    Figure 12. Product Picture of Media
    Figure 13. Product Picture of Entertainment and Gaming
    Figure 14. Product Picture of Retail and Consumer Goods
    Figure 15. Product Picture of Hospitality
    Figure 16. Product Picture of Others
    Figure 17. Global Content Recommendation Engine Sales Value by Application (2019 VS 2023 VS 2030) & (US$ Million)
    Figure 18. Global Content Recommendation Engine Sales Value Market Share by Application, 2023 & 2030
    Figure 19. North America Content Recommendation Engine Sales Value (2019-2030) & (US$ Million)
    Figure 20. North America Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    Figure 21. Europe Content Recommendation Engine Sales Value (2019-2030) & (US$ Million)
    Figure 22. Europe Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    Figure 23. Asia Pacific Content Recommendation Engine Sales Value (2019-2030) & (US$ Million)
    Figure 24. Asia Pacific Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    Figure 25. South America Content Recommendation Engine Sales Value (2019-2030) & (US$ Million)
    Figure 26. South America Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    Figure 27. Middle East & Africa Content Recommendation Engine Sales Value (2019-2030) & (US$ Million)
    Figure 28. Middle East & Africa Content Recommendation Engine Sales Value by Country (%), 2023 VS 2030
    Figure 29. Key Countries/Regions Content Recommendation Engine Sales Value (%), (2019-2030)
    Figure 30. United States Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 31. United States Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 32. United States Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 33. Europe Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 34. Europe Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 35. Europe Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 36. China Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 37. China Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 38. China Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 39. Japan Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 40. Japan Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 41. Japan Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 42. South Korea Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 43. South Korea Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 44. South Korea Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 45. Southeast Asia Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 46. Southeast Asia Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 47. Southeast Asia Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 48. India Content Recommendation Engine Sales Value, (2019-2030) & (US$ Million)
    Figure 49. India Content Recommendation Engine Sales Value by Type (%), 2023 VS 2030
    Figure 50. India Content Recommendation Engine Sales Value by Application (%), 2023 VS 2030
    Figure 51. Content Recommendation Engine Industrial Chain
    Figure 52. Content Recommendation Engine Manufacturing Cost Structure
    Figure 53. Channels of Distribution (Direct Sales, and Distribution)
    Figure 54. Bottom-up and Top-down Approaches for This Report
    Figure 55. Data Triangulation

Description

A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.

The global market for Content Recommendation Engine was estimated to be worth US$ 4932 million in 2023 and is forecast to a readjusted size of US$ 16070 million by 2030 with a CAGR of 18.0% during the forecast period 2024-2030

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.

Report Scope
This report aims to provide a comprehensive presentation of the global market for Content Recommendation Engine, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Content Recommendation Engine by region & country, by Type, and by Application.

The Content Recommendation Engine market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Engine.

Market Segmentation