Global Content Recommendation Engines Market 2021 by Company, Regions, Type and Application, Forecast to 2026

  • receipt Report ID : 240312
  • calendar_today Published On: Dec, 2021
  • file_copy Pages: 156
  • list Information & Communication Technology
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The Content Recommendation Engines market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

According to our latest research, the global Content Recommendation Engines size is estimated to be USD 10280 million in 2026 from USD 3976.9 million in 2020, with a change % between 2020 and 2021. The global Content Recommendation Engines market size is expected to grow at a CAGR of 26.8% for the next five years.

Market segmentation

Content Recommendation Engines market is split by Type and by Application. For the period 2016-2026, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers

Local Deployment

Cloud Deployment

Market segment by Application, can be divided into

News and Media

Entertainment and Games

E-commerce

Finance

others

Market segment by players, this report covers

Taboola

Outbrain

Dynamic Yield (McDonald)

Amazon Web Services

Adob​​e

Kibo Commerce

Optimizely

Salesforce (Evergage)

Zeta Global

Emarsys (SAP)

Algonomy

ThinkAnalytics

Alibaba Cloud

Tencent.

Baidu

Byte Dance

Market segment by regions, regional analysis covers

North America (United States, Canada, and Mexico)

Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia, and Rest of Asia-Pacific)

South America (Brazil, Argentina, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 12 chapters:

Chapter 1, to describe Content Recommendation Engines product scope, market overview, market opportunities, market driving force and market risks.

Chapter 2, to profile the top players of Content Recommendation Engines, with revenue, gross margin and global market share of Content Recommendation Engines from 2019 to 2021.

Chapter 3, the Content Recommendation Engines competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by type and application, with revenue and growth rate by type, application, from 2016 to 2026.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2016 to 2021.and Content Recommendation Engines market forecast, by regions, deployment mode and application, with revenue, from 2021 to 2026.

Chapter 11 and 12, to describe Content Recommendation Engines research findings and conclusion, appendix and data source.

Frequently Asked Questions

The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.

Market is segmented on the basis:

  • By Type
  • By Application
  • By Region
  • By Country
  • By Manufacturer

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.

The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.

1 Market Overview

1.1 Product Overview and Scope of Content Recommendation Engines

1.2 Classification of Content Recommendation Engines by Deployment Mode

1.2.1 Overview: Global Content Recommendation Engines Market Size by Type: 2020 Versus 2021 Versus 2026

1.2.2 Global Content Recommendation Engines Revenue Market Share by Type in 2020

1.2.3 Local Deployment

1.2.4 Cloud Deployment

1.3 Global Content Recommendation Engines Market by Application

1.3.1 Overview: Global Content Recommendation Engines Market Size by Application: 2020 Versus 2021 Versus 2026

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 Global Content Recommendation Engines Market Size & Forecast

1.5 Global Content Recommendation Engines Market Size and Forecast by Region

1.5.1 Global Content Recommendation Engines Market Size by Region: 2016 VS 2021 VS 2026

1.5.2 Global Content Recommendation Engines Market Size by Region, (2016-2021)

1.5.3 North America Content Recommendation Engines Market Size and Prospect (2016-2026)

1.5.4 Europe Content Recommendation Engines Market Size and Prospect (2016-2026)

1.5.5 Asia-Pacific Content Recommendation Engines Market Size and Prospect (2016-2026)

1.5.6 South America Content Recommendation Engines Market Size and Prospect (2016-2026)

1.5.7 Middle East and Africa Content Recommendation Engines Market Size and Prospect (2016-2026)

1.6 Market Drivers, Restraints and Trends

1.6.1 Content Recommendation Engines Market Drivers

1.6.2 Content Recommendation Engines Market Restraints

1.6.3 Content Recommendation Engines Trends Analysis

2 Company Profiles

2.1 Taboola

2.1.1 Taboola Details

2.1.2 Taboola Major Business

2.1.3 Taboola Content Recommendation Engines Product and Solutions

2.1.4 Taboola Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.1.5 Taboola Recent Developments and Future Plans

2.2 Outbrain

2.2.1 Outbrain Details

2.2.2 Outbrain Major Business

2.2.3 Outbrain Content Recommendation Engines Product and Solutions

2.2.4 Outbrain Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.2.5 Outbrain Recent Developments and Future Plans

2.3 Dynamic Yield (McDonald)

2.3.1 Dynamic Yield (McDonald) Details

2.3.2 Dynamic Yield (McDonald) Major Business

2.3.3 Dynamic Yield (McDonald) Content Recommendation Engines Product and Solutions

2.3.4 Dynamic Yield (McDonald) Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.3.5 Dynamic Yield (McDonald) Recent Developments and Future Plans

2.4 Amazon Web Services

2.4.1 Amazon Web Services Details

2.4.2 Amazon Web Services Major Business

2.4.3 Amazon Web Services Content Recommendation Engines Product and Solutions

2.4.4 Amazon Web Services Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.4.5 Amazon Web Services Recent Developments and Future Plans

2.5 Adob​​e

2.5.1 Adob​​e Details

2.5.2 Adob​​e Major Business

2.5.3 Adob​​e Content Recommendation Engines Product and Solutions

2.5.4 Adob​​e Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.5.5 Adob​​e Recent Developments and Future Plans

2.6 Kibo Commerce

2.6.1 Kibo Commerce Details

2.6.2 Kibo Commerce Major Business

2.6.3 Kibo Commerce Content Recommendation Engines Product and Solutions

2.6.4 Kibo Commerce Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.6.5 Kibo Commerce Recent Developments and Future Plans

2.7 Optimizely

2.7.1 Optimizely Details

2.7.2 Optimizely Major Business

2.7.3 Optimizely Content Recommendation Engines Product and Solutions

2.7.4 Optimizely Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.7.5 Optimizely Recent Developments and Future Plans

2.8 Salesforce (Evergage)

2.8.1 Salesforce (Evergage) Details

2.8.2 Salesforce (Evergage) Major Business

2.8.3 Salesforce (Evergage) Content Recommendation Engines Product and Solutions

2.8.4 Salesforce (Evergage) Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.8.5 Salesforce (Evergage) Recent Developments and Future Plans

2.9 Zeta Global

2.9.1 Zeta Global Details

2.9.2 Zeta Global Major Business

2.9.3 Zeta Global Content Recommendation Engines Product and Solutions

2.9.4 Zeta Global Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.9.5 Zeta Global Recent Developments and Future Plans

2.10 Emarsys (SAP)

2.10.1 Emarsys (SAP) Details

2.10.2 Emarsys (SAP) Major Business

2.10.3 Emarsys (SAP) Content Recommendation Engines Product and Solutions

2.10.4 Emarsys (SAP) Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.10.5 Emarsys (SAP) Recent Developments and Future Plans

2.11 Algonomy

2.11.1 Algonomy Details

2.11.2 Algonomy Major Business

2.11.3 Algonomy Content Recommendation Engines Product and Solutions

2.11.4 Algonomy Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.11.5 Algonomy Recent Developments and Future Plans

2.12 ThinkAnalytics

2.12.1 ThinkAnalytics Details

2.12.2 ThinkAnalytics Major Business

2.12.3 ThinkAnalytics Content Recommendation Engines Product and Solutions

2.12.4 ThinkAnalytics Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.12.5 ThinkAnalytics Recent Developments and Future Plans

2.13 Alibaba Cloud

2.13.1 Alibaba Cloud Details

2.13.2 Alibaba Cloud Major Business

2.13.3 Alibaba Cloud Content Recommendation Engines Product and Solutions

2.13.4 Alibaba Cloud Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.13.5 Alibaba Cloud Recent Developments and Future Plans

2.14 Tencent.

2.14.1 Tencent. Details

2.14.2 Tencent. Major Business

2.14.3 Tencent. Content Recommendation Engines Product and Solutions

2.14.4 Tencent. Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.14.5 Tencent. Recent Developments and Future Plans

2.15 Baidu

2.15.1 Baidu Details

2.15.2 Baidu Major Business

2.15.3 Baidu Content Recommendation Engines Product and Solutions

2.15.4 Baidu Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.15.5 Baidu Recent Developments and Future Plans

2.16 Byte Dance

2.16.1 Byte Dance Details

2.16.2 Byte Dance Major Business

2.16.3 Byte Dance Content Recommendation Engines Product and Solutions

2.16.4 Byte Dance Content Recommendation Engines Revenue, Gross Margin and Market Share (2019-2021)

2.16.5 Byte Dance Recent Developments and Future Plans

3 Market Competition, by Players

3.1 Global Content Recommendation Engines Revenue and Share by Players (2019-2021)

3.2 Market Concentration Rate

3.2.1 Top 3 Content Recommendation Engines Players Market Share

3.2.2 Top 10 Content Recommendation Engines Players Market Share

3.2.3 Market Competition Trend

3.3 Content Recommendation Engines Players Head Office, Products and Services Provided

3.4 Mergers & Acquisitions

3.5 New Entrants and Expansion Plans

4 Market Size Segment by Type

4.1 Global Content Recommendation Engines Revenue and Market Share by Type (2016-2021)

4.2 Global Content Recommendation Engines Market Forecast by Type (2021-2026)

5 Market Size Segment by Application

5.1 Global Content Recommendation Engines Revenue Market Share by Application (2016-2021)

5.2 Content Recommendation Engines Market Forecast by Application (2021-2026)

6 North America by Country, by Type, and by Application

6.1 North America Content Recommendation Engines Revenue by Type (2016-2026)

6.2 North America Content Recommendation Engines Revenue by Application (2016-2026)

6.3 North America Content Recommendation Engines Market Size by Country

6.3.1 North America Content Recommendation Engines Revenue by Country (2016-2026)

6.3.2 United States Content Recommendation Engines Market Size and Forecast (2016-2026)

6.3.3 Canada Content Recommendation Engines Market Size and Forecast (2016-2026)

6.3.4 Mexico Content Recommendation Engines Market Size and Forecast (2016-2026)

7 Europe by Country, by Type, and by Application

7.1 Europe Content Recommendation Engines Revenue by Type (2016-2026)

7.2 Europe Content Recommendation Engines Revenue by Application (2016-2026)

7.3 Europe Content Recommendation Engines Market Size by Country

7.3.1 Europe Content Recommendation Engines Revenue by Country (2016-2026)

7.3.2 Germany Content Recommendation Engines Market Size and Forecast (2016-2026)

7.3.3 France Content Recommendation Engines Market Size and Forecast (2016-2026)

7.3.4 United Kingdom Content Recommendation Engines Market Size and Forecast (2016-2026)

7.3.5 Russia Content Recommendation Engines Market Size and Forecast (2016-2026)

7.3.6 Italy Content Recommendation Engines Market Size and Forecast (2016-2026)

8 Asia-Pacific by Region, by Type, and by Application

8.1 Asia-Pacific Content Recommendation Engines Revenue by Type (2016-2026)

8.2 Asia-Pacific Content Recommendation Engines Revenue by Application (2016-2026)

8.3 Asia-Pacific Content Recommendation Engines Market Size by Region

8.3.1 Asia-Pacific Content Recommendation Engines Revenue by Region (2016-2026)

8.3.2 China Content Recommendation Engines Market Size and Forecast (2016-2026)

8.3.3 Japan Content Recommendation Engines Market Size and Forecast (2016-2026)

8.3.4 South Korea Content Recommendation Engines Market Size and Forecast (2016-2026)

8.3.5 India Content Recommendation Engines Market Size and Forecast (2016-2026)

8.3.6 Southeast Asia Content Recommendation Engines Market Size and Forecast (2016-2026)

8.3.7 Australia Content Recommendation Engines Market Size and Forecast (2016-2026)

9 South America by Country, by Type, and by Application

9.1 South America Content Recommendation Engines Revenue by Type (2016-2026)

9.2 South America Content Recommendation Engines Revenue by Application (2016-2026)

9.3 South America Content Recommendation Engines Market Size by Country

9.3.1 South America Content Recommendation Engines Revenue by Country (2016-2026)

9.3.2 Brazil Content Recommendation Engines Market Size and Forecast (2016-2026)

9.3.3 Argentina Content Recommendation Engines Market Size and Forecast (2016-2026)

10 Middle East & Africa by Country, by Type, and by Application

10.1 Middle East & Africa Content Recommendation Engines Revenue by Type (2016-2026)

10.2 Middle East & Africa Content Recommendation Engines Revenue by Application (2016-2026)

10.3 Middle East & Africa Content Recommendation Engines Market Size by Country

10.3.1 Middle East & Africa Content Recommendation Engines Revenue by Country (2016-2026)

10.3.2 Turkey Content Recommendation Engines Market Size and Forecast (2016-2026)

10.3.3 Saudi Arabia Content Recommendation Engines Market Size and Forecast (2016-2026)

10.3.4 UAE Content Recommendation Engines Market Size and Forecast (2016-2026)

11 Research Findings and Conclusion

12 Appendix

12.1 Methodology

12.2 Research Process and Data Source

12.3 Disclaimer

List of Tables

Table 1. Global Content Recommendation Engines Revenue by Type, (USD Million), 2020 VS 2021 VS 2026

Table 2. Global Content Recommendation Engines Revenue by Application, (USD Million), 2020 VS 2021 VS 2026

Table 3. Global Market Content Recommendation Engines Revenue (Million USD) Comparison by Region (2016 VS 2021 VS 2026)

Table 4. Global Content Recommendation Engines Revenue (USD Million) by Region (2016-2021)

Table 5. Global Content Recommendation Engines Revenue Market Share by Region (2021-2026)

Table 6. Taboola Corporate Information, Head Office, and Major Competitors

Table 7. Taboola Major Business

Table 8. Taboola Content Recommendation Engines Product and Solutions

Table 9. Taboola Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 10. Outbrain Corporate Information, Head Office, and Major Competitors

Table 11. Outbrain Major Business

Table 12. Outbrain Content Recommendation Engines Product and Solutions

Table 13. Outbrain Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 14. Dynamic Yield (McDonald) Corporate Information, Head Office, and Major Competitors

Table 15. Dynamic Yield (McDonald) Major Business

Table 16. Dynamic Yield (McDonald) Content Recommendation Engines Product and Solutions

Table 17. Dynamic Yield (McDonald) Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 18. Amazon Web Services Corporate Information, Head Office, and Major Competitors

Table 19. Amazon Web Services Major Business

Table 20. Amazon Web Services Content Recommendation Engines Product and Solutions

Table 21. Amazon Web Services Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 22. Adob​​e Corporate Information, Head Office, and Major Competitors

Table 23. Adob​​e Major Business

Table 24. Adob​​e Content Recommendation Engines Product and Solutions

Table 25. Adob​​e Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 26. Kibo Commerce Corporate Information, Head Office, and Major Competitors

Table 27. Kibo Commerce Major Business

Table 28. Kibo Commerce Content Recommendation Engines Product and Solutions

Table 29. Kibo Commerce Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 30. Optimizely Corporate Information, Head Office, and Major Competitors

Table 31. Optimizely Major Business

Table 32. Optimizely Content Recommendation Engines Product and Solutions

Table 33. Optimizely Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 34. Salesforce (Evergage) Corporate Information, Head Office, and Major Competitors

Table 35. Salesforce (Evergage) Major Business

Table 36. Salesforce (Evergage) Content Recommendation Engines Product and Solutions

Table 37. Salesforce (Evergage) Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 38. Zeta Global Corporate Information, Head Office, and Major Competitors

Table 39. Zeta Global Major Business

Table 40. Zeta Global Content Recommendation Engines Product and Solutions

Table 41. Zeta Global Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 42. Emarsys (SAP) Corporate Information, Head Office, and Major Competitors

Table 43. Emarsys (SAP) Major Business

Table 44. Emarsys (SAP) Content Recommendation Engines Product and Solutions

Table 45. Emarsys (SAP) Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 46. Algonomy Corporate Information, Head Office, and Major Competitors

Table 47. Algonomy Major Business

Table 48. Algonomy Content Recommendation Engines Product and Solutions

Table 49. Algonomy Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 50. ThinkAnalytics Corporate Information, Head Office, and Major Competitors

Table 51. ThinkAnalytics Major Business

Table 52. ThinkAnalytics Content Recommendation Engines Product and Solutions

Table 53. ThinkAnalytics Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 54. Alibaba Cloud Corporate Information, Head Office, and Major Competitors

Table 55. Alibaba Cloud Major Business

Table 56. Alibaba Cloud Content Recommendation Engines Product and Solutions

Table 57. Alibaba Cloud Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 58. Tencent. Corporate Information, Head Office, and Major Competitors

Table 59. Tencent. Major Business

Table 60. Tencent. Content Recommendation Engines Product and Solutions

Table 61. Tencent. Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 62. Baidu Corporate Information, Head Office, and Major Competitors

Table 63. Baidu Major Business

Table 64. Baidu Content Recommendation Engines Product and Solutions

Table 65. Baidu Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 66. Byte Dance Corporate Information, Head Office, and Major Competitors

Table 67. Byte Dance Major Business

Table 68. Byte Dance Content Recommendation Engines Product and Solutions

Table 69. Byte Dance Content Recommendation Engines Revenue (USD Million), Gross Margin and Market Share (2019-2021)

Table 70. Global Content Recommendation Engines Revenue (USD Million) by Players (2019-2021)

Table 71. Global Content Recommendation Engines Revenue Share by Players (2019-2021)

Table 72. Breakdown of Content Recommendation Engines by Company Type (Tier 1, Tier 2 and Tier 3)

Table 73. Content Recommendation Engines Players Head Office, Products and Services Provided

Table 74. Content Recommendation Engines Mergers & Acquisitions in the Past Five Years

Table 75. Content Recommendation Engines New Entrants and Expansion Plans

Table 76. Global Content Recommendation Engines Revenue (USD Million) by Type (2016-2021)

Table 77. Global Content Recommendation Engines Revenue Share by Type (2016-2021)

Table 78. Global Content Recommendation Engines Revenue Forecast by Type (2021-2026)

Table 79. Global Content Recommendation Engines Revenue by Application (2016-2021)

Table 80. Global Content Recommendation Engines Revenue Forecast by Application (2021-2026)

Table 81. North America Content Recommendation Engines Revenue by Type (2016-2021) & (USD Million)

Table 82. North America Content Recommendation Engines Revenue by Type (2021-2026) & (USD Million)

Table 83. North America Content Recommendation Engines Revenue by Application (2016-2021) & (USD Million)

Table 84. North America Content Recommendation Engines Revenue by Application (2021-2026) & (USD Million)

Table 85. North America Content Recommendation Engines Revenue by Country (2016-2021) & (USD Million)

Table 86. North America Content Recommendation Engines Revenue by Country (2021-2026) & (USD Million)

Table 87. Europe Content Recommendation Engines Revenue by Type (2016-2021) & (USD Million)

Table 88. Europe Content Recommendation Engines Revenue by Type (2021-2026) & (USD Million)

Table 89. Europe Content Recommendation Engines Revenue by Application (2016-2021) & (USD Million)

Table 90. Europe Content Recommendation Engines Revenue by Application (2021-2026) & (USD Million)

Table 91. Europe Content Recommendation Engines Revenue by Country (2016-2021) & (USD Million)

Table 92. Europe Content Recommendation Engines Revenue by Country (2021-2026) & (USD Million)

Table 93. Asia-Pacific Content Recommendation Engines Revenue by Type (2016-2021) & (USD Million)

Table 94. Asia-Pacific Content Recommendation Engines Revenue by Type (2021-2026) & (USD Million)

Table 95. Asia-Pacific Content Recommendation Engines Revenue by Application (2016-2021) & (USD Million)

Table 96. Asia-Pacific Content Recommendation Engines Revenue by Application (2021-2026) & (USD Million)

Table 97. Asia-Pacific Content Recommendation Engines Revenue by Region (2016-2021) & (USD Million)

Table 98. Asia-Pacific Content Recommendation Engines Revenue by Region (2021-2026) & (USD Million)

Table 99. South America Content Recommendation Engines Revenue by Type (2016-2021) & (USD Million)

Table 100. South America Content Recommendation Engines Revenue by Type (2021-2026) & (USD Million)

Table 101. South America Content Recommendation Engines Revenue by Application (2016-2021) & (USD Million)

Table 102. South America Content Recommendation Engines Revenue by Application (2021-2026) & (USD Million)

Table 103. South America Content Recommendation Engines Revenue by Country (2016-2021) & (USD Million)

Table 104. South America Content Recommendation Engines Revenue by Country (2021-2026) & (USD Million)

Table 105. Middle East & Africa Content Recommendation Engines Revenue by Type (2016-2021) & (USD Million)

Table 106. Middle East & Africa Content Recommendation Engines Revenue by Type (2021-2026) & (USD Million)

Table 107. Middle East & Africa Content Recommendation Engines Revenue by Application (2016-2021) & (USD Million)

Table 108. Middle East & Africa Content Recommendation Engines Revenue by Application (2021-2026) & (USD Million)

Table 109. Middle East & Africa Content Recommendation Engines Revenue by Country (2016-2021) & (USD Million)

Table 110. Middle East & Africa Content Recommendation Engines Revenue by Country (2021-2026) & (USD Million)

List of Figures

Figure 1. Content Recommendation Engines Picture

Figure 2. Global Content Recommendation Engines Revenue Market Share by Deployment Mode in 2020

Figure 3. Local Deployment

Figure 4. Cloud Deployment

Figure 5. Content Recommendation Engines Revenue Market Share by Application in 2020

Figure 6. News and Media Picture

Figure 7. Entertainment and Games Picture

Figure 8. E-commerce Picture

Figure 9. Finance Picture

Figure 10. others Picture

Figure 11. Global Content Recommendation Engines Revenue, (USD Million): 2020 VS 2021 VS 2026

Figure 12. Global Content Recommendation Engines Revenue and Forecast (2016-2026) & (USD Million)

Figure 13. Global Content Recommendation Engines Revenue Market Share by Region (2016-2026)

Figure 14. Global Content Recommendation Engines Revenue Market Share by Region in 2020

Figure 15. North America Content Recommendation Engines Revenue (USD Million) and Growth Rate (2016-2026)

Figure 16. Europe Content Recommendation Engines Revenue (USD Million) and Growth Rate (2016-2026)

Figure 17. Asia-Pacific Content Recommendation Engines Revenue (USD Million) and Growth Rate (2016-2026)

Figure 18. South America Content Recommendation Engines Revenue (USD Million) and Growth Rate (2016-2026)

Figure 19. Middle East and Africa Content Recommendation Engines Revenue (USD Million) and Growth Rate (2016-2026)

Figure 20. Content Recommendation Engines Market Drivers

Figure 21. Content Recommendation Engines Market Restraints

Figure 22. Content Recommendation Engines Market Trends

Figure 23. Taboola Recent Developments and Future Plans

Figure 24. Outbrain Recent Developments and Future Plans

Figure 25. Dynamic Yield (McDonald) Recent Developments and Future Plans

Figure 26. Amazon Web Services Recent Developments and Future Plans

Figure 27. Adob​​e Recent Developments and Future Plans

Figure 28. Kibo Commerce Recent Developments and Future Plans

Figure 29. Optimizely Recent Developments and Future Plans

Figure 30. Salesforce (Evergage) Recent Developments and Future Plans

Figure 31. Zeta Global Recent Developments and Future Plans

Figure 32. Emarsys (SAP) Recent Developments and Future Plans

Figure 33. Algonomy Recent Developments and Future Plans

Figure 34. ThinkAnalytics Recent Developments and Future Plans

Figure 35. Alibaba Cloud Recent Developments and Future Plans

Figure 36. Tencent. Recent Developments and Future Plans

Figure 37. Baidu Recent Developments and Future Plans

Figure 38. Byte Dance Recent Developments and Future Plans

Figure 39. Global Content Recommendation Engines Revenue Share by Players in 2020

Figure 40. Content Recommendation Engines Market Share by Company Type (Tier 1, Tier 2 and Tier 3)

Figure 41. Global Top 3 Players Content Recommendation Engines Revenue Market Share in 2020

Figure 42. Global Top 10 Players Content Recommendation Engines Revenue Market Share in 2020

Figure 43. Key Players Market Share Trend (Top 3 Market Share: 2019 VS 2020 VS 2021)

Figure 44. Global Content Recommendation Engines Revenue Share by Type in 2020

Figure 45. Global Content Recommendation Engines Market Share Forecast by Type (2021-2026)

Figure 46. Global Content Recommendation Engines Revenue Share by Application in 2020

Figure 47. Global Content Recommendation Engines Market Share Forecast by Application (2021-2026)

Figure 48. North America Content Recommendation Engines Sales Market Share by Type (2016-2026)

Figure 49. North America Content Recommendation Engines Sales Market Share by Application (2016-2026)

Figure 50. North America Content Recommendation Engines Revenue Market Share by Country (2016-2026)

Figure 51. United States Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 52. Canada Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 53. Mexico Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 54. Europe Content Recommendation Engines Sales Market Share by Type (2016-2026)

Figure 55. Europe Content Recommendation Engines Sales Market Share by Application (2016-2026)

Figure 56. Europe Content Recommendation Engines Revenue Market Share by Country (2016-2026)

Figure 57. Germany Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 58. France Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 59. United Kingdom Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 60. Russia Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 61. Italy Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 62. Asia-Pacific Content Recommendation Engines Sales Market Share by Type (2016-2026)

Figure 63. Asia-Pacific Content Recommendation Engines Sales Market Share by Application (2016-2026)

Figure 64. Asia-Pacific Content Recommendation Engines Revenue Market Share by Region (2016-2026)

Figure 65. China Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 66. Japan Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 67. South Korea Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 68. India Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 69. Southeast Asia Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 70. Australia Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 71. South America Content Recommendation Engines Sales Market Share by Type (2016-2026)

Figure 72. South America Content Recommendation Engines Sales Market Share by Application (2016-2026)

Figure 73. South America Content Recommendation Engines Revenue Market Share by Country (2016-2026)

Figure 74. Brazil Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 75. Argentina Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 76. Middle East and Africa Content Recommendation Engines Sales Market Share by Type (2016-2026)

Figure 77. Middle East and Africa Content Recommendation Engines Sales Market Share by Application (2016-2026)

Figure 78. Middle East and Africa Content Recommendation Engines Revenue Market Share by Country (2016-2026)

Figure 79. Turkey Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 80. Saudi Arabia Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 81. UAE Content Recommendation Engines Revenue and Growth Rate (2016-2026) & (USD Million)

Figure 82. Methodology

Figure 83. Research Process and Data Source