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Global Content Recommendation Engine Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Publisher Name :
Date: 27-Feb-2020
No. of pages: 106

Market Overview

The global Content Recommendation Engine market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 18.3% in the forecast period of 2020 to 2025 and will expected to reach USD 2624.2 million by 2025, from USD 1340.5 million in 2019.

The Content Recommendation Engine 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.

Market segmentation

Content Recommendation Engine market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Content Recommendation Engine market has been segmented into:

- Solution

- Service

By Application, Content Recommendation Engine has been segmented into:

- Media

- Entertainment and Gaming

- Retail and Consumer Goods

- Hospitality

- Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Content Recommendation Engine market presented in the report. This section sheds light on the sales growth of different regional and country-level Content Recommendation Engine markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Content Recommendation Engine market.

The report offers in-depth assessment of the growth and other aspects of the Content Recommendation Engine market in important countries (regions), including:

- North America (United States, Canada and Mexico)

- Europe (Germany, France, UK, Russia and Italy)

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

- South America (Brazil, Argentina, Colombia)

- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Content Recommendation Engine Market Share Analysis

Content Recommendation Engine competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Content Recommendation Engine sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Content Recommendation Engine sales, revenue and market share for each player covered in this report.

The major players covered in Content Recommendation Engine are:

Amazon Web Services (US)

Kibo Commerce (US)

Curata (US)

Boomtrain (US)

IBM (US)

Certona (US)

Revcontent (US)

Dynamic Yield (US)

Cxense (Norway)

Outbrain (US)

Taboola (US)

ThinkAnalytics (UK)

Global Content Recommendation Engine Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Table of Contents

1 Content Recommendation Engine Market Overview
1.1 Product Overview and Scope of Content Recommendation Engine
1.2 Classification of Content Recommendation Engine by Type
1.2.1 Global Content Recommendation Engine Revenue by Type: 2015 VS 2019 VS 2025
1.2.2 Global Content Recommendation Engine Revenue Market Share by Type in 2019
1.2.3 Solution
1.2.4 Service
1.3 Global Content Recommendation Engine Market by Application
1.3.1 Overview: Global Content Recommendation Engine Revenue by Application: 2015 VS 2019 VS 2025
1.3.2 Media
1.3.3 Entertainment and Gaming
1.3.4 Retail and Consumer Goods
1.3.5 Hospitality
1.3.6 Others
1.4 Global Content Recommendation Engine Market by Regions
1.4.1 Global Content Recommendation Engine Market Size by Regions: 2015 VS 2019 VS 2025
1.4.2 Global Market Size of Content Recommendation Engine (2015-2025)
1.4.3 North America (USA, Canada and Mexico) Content Recommendation Engine Status and Prospect (2015-2025)
1.4.4 Europe (Germany, France, UK, Russia and Italy) Content Recommendation Engine Status and Prospect (2015-2025)
1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Content Recommendation Engine Status and Prospect (2015-2025)
1.4.6 South America (Brazil, Argentina, Colombia) Content Recommendation Engine Status and Prospect (2015-2025)
1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Content Recommendation Engine Status and Prospect (2015-2025)
2 Company Profiles
2.1 Amazon Web Services (US)
2.1.1 Amazon Web Services (US) Details
2.1.2 Amazon Web Services (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.1.3 Amazon Web Services (US) SWOT Analysis
2.1.4 Amazon Web Services (US) Product and Services
2.1.5 Amazon Web Services (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.2 Kibo Commerce (US)
2.2.1 Kibo Commerce (US) Details
2.2.2 Kibo Commerce (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.2.3 Kibo Commerce (US) SWOT Analysis
2.2.4 Kibo Commerce (US) Product and Services
2.2.5 Kibo Commerce (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.3 Curata (US)
2.3.1 Curata (US) Details
2.3.2 Curata (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.3.3 Curata (US) SWOT Analysis
2.3.4 Curata (US) Product and Services
2.3.5 Curata (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.4 Boomtrain (US)
2.4.1 Boomtrain (US) Details
2.4.2 Boomtrain (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.4.3 Boomtrain (US) SWOT Analysis
2.4.4 Boomtrain (US) Product and Services
2.4.5 Boomtrain (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.5 IBM (US)
2.5.1 IBM (US) Details
2.5.2 IBM (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.5.3 IBM (US) SWOT Analysis
2.5.4 IBM (US) Product and Services
2.5.5 IBM (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.6 Certona (US)
2.6.1 Certona (US) Details
2.6.2 Certona (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.6.3 Certona (US) SWOT Analysis
2.6.4 Certona (US) Product and Services
2.6.5 Certona (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.7 Revcontent (US)
2.7.1 Revcontent (US) Details
2.7.2 Revcontent (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.7.3 Revcontent (US) SWOT Analysis
2.7.4 Revcontent (US) Product and Services
2.7.5 Revcontent (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.8 Dynamic Yield (US)
2.8.1 Dynamic Yield (US) Details
2.8.2 Dynamic Yield (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.8.3 Dynamic Yield (US) SWOT Analysis
2.8.4 Dynamic Yield (US) Product and Services
2.8.5 Dynamic Yield (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.9 Cxense (Norway)
2.9.1 Cxense (Norway) Details
2.9.2 Cxense (Norway) Major Business and Total Revenue (Financial Highlights) Analysis
2.9.3 Cxense (Norway) SWOT Analysis
2.9.4 Cxense (Norway) Product and Services
2.9.5 Cxense (Norway) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.10 Outbrain (US)
2.10.1 Outbrain (US) Details
2.10.2 Outbrain (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.10.3 Outbrain (US) SWOT Analysis
2.10.4 Outbrain (US) Product and Services
2.10.5 Outbrain (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.11 Taboola (US)
2.11.1 Taboola (US) Details
2.11.2 Taboola (US) Major Business and Total Revenue (Financial Highlights) Analysis
2.11.3 Taboola (US) SWOT Analysis
2.11.4 Taboola (US) Product and Services
2.11.5 Taboola (US) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
2.12 ThinkAnalytics (UK)
2.12.1 ThinkAnalytics (UK) Details
2.12.2 ThinkAnalytics (UK) Major Business and Total Revenue (Financial Highlights) Analysis
2.12.3 ThinkAnalytics (UK) SWOT Analysis
2.12.4 ThinkAnalytics (UK) Product and Services
2.12.5 ThinkAnalytics (UK) Content Recommendation Engine Revenue, Gross Margin and Market Share (2018-2019)
3 Market Competition, by Players
3.1 Global Content Recommendation Engine Revenue and Share by Players (2015-2020)
3.2 Market Concentration Rate
3.2.1 Top 5 Content Recommendation Engine Players Market Share
3.2.2 Top 10 Content Recommendation Engine Players Market Share
3.3 Market Competition Trend
4 Market Size by Regions
4.1 Global Content Recommendation Engine Revenue and Market Share by Regions
4.2 North America Content Recommendation Engine Revenue and Growth Rate (2015-2020)
4.3 Europe Content Recommendation Engine Revenue and Growth Rate (2015-2020)
4.4 Asia-Pacific Content Recommendation Engine Revenue and Growth Rate (2015-2020)
4.5 South America Content Recommendation Engine Revenue and Growth Rate (2015-2020)
4.6 Middle East & Africa Content Recommendation Engine Revenue and Growth Rate (2015-2020)
5 North America Content Recommendation Engine Revenue by Countries
5.1 North America Content Recommendation Engine Revenue by Countries (2015-2020)
5.2 USA Content Recommendation Engine Revenue and Growth Rate (2015-2020)
5.3 Canada Content Recommendation Engine Revenue and Growth Rate (2015-2020)
5.4 Mexico Content Recommendation Engine Revenue and Growth Rate (2015-2020)
6 Europe Content Recommendation Engine Revenue by Countries
6.1 Europe Content Recommendation Engine Revenue by Countries (2015-2020)
6.2 Germany Content Recommendation Engine Revenue and Growth Rate (2015-2020)
6.3 UK Content Recommendation Engine Revenue and Growth Rate (2015-2020)
6.4 France Content Recommendation Engine Revenue and Growth Rate (2015-2020)
6.5 Russia Content Recommendation Engine Revenue and Growth Rate (2015-2020)
6.6 Italy Content Recommendation Engine Revenue and Growth Rate (2015-2020)
7 Asia-Pacific Content Recommendation Engine Revenue by Countries
7.1 Asia-Pacific Content Recommendation Engine Revenue by Countries (2015-2020)
7.2 China Content Recommendation Engine Revenue and Growth Rate (2015-2020)
7.3 Japan Content Recommendation Engine Revenue and Growth Rate (2015-2020)
7.4 Korea Content Recommendation Engine Revenue and Growth Rate (2015-2020)
7.5 India Content Recommendation Engine Revenue and Growth Rate (2015-2020)
7.6 Southeast Asia Content Recommendation Engine Revenue and Growth Rate (2015-2020)
8 South America Content Recommendation Engine Revenue by Countries
8.1 South America Content Recommendation Engine Revenue by Countries (2015-2020)
8.2 Brazil Content Recommendation Engine Revenue and Growth Rate (2015-2020)
8.3 Argentina Content Recommendation Engine Revenue and Growth Rate (2015-2020)
9 Middle East & Africa Revenue Content Recommendation Engine by Countries
9.1 Middle East & Africa Content Recommendation Engine Revenue by Countries (2015-2020)
9.2 Saudi Arabia Content Recommendation Engine Revenue and Growth Rate (2015-2020)
9.3 UAE Content Recommendation Engine Revenue and Growth Rate (2015-2020)
9.4 Egypt Content Recommendation Engine Revenue and Growth Rate (2015-2020)
9.5 South Africa Content Recommendation Engine Revenue and Growth Rate (2015-2020)
10 Market Size Segment by Type
10.1 Global Content Recommendation Engine Revenue and Market Share by Type (2015-2020)
10.2 Global Content Recommendation Engine Market Forecast by Type (2019-2024)
10.3 Solution Revenue Growth Rate (2015-2025)
10.4 Service Revenue Growth Rate (2015-2025)
11 Global Content Recommendation Engine Market Segment by Application
11.1 Global Content Recommendation Engine Revenue Market Share by Application (2015-2020)
11.2 Content Recommendation Engine Market Forecast by Application (2019-2024)
11.3 Media Revenue Growth (2015-2020)
11.4 Entertainment and Gaming Revenue Growth (2015-2020)
11.5 Retail and Consumer Goods Revenue Growth (2015-2020)
11.6 Hospitality Revenue Growth (2015-2020)
11.7 Others Revenue Growth (2015-2020)
12 Global Content Recommendation Engine Market Size Forecast (2021-2025)
12.1 Global Content Recommendation Engine Market Size Forecast (2021-2025)
12.2 Global Content Recommendation Engine Market Forecast by Regions (2021-2025)
12.3 North America Content Recommendation Engine Revenue Market Forecast (2021-2025)
12.4 Europe Content Recommendation Engine Revenue Market Forecast (2021-2025)
12.5 Asia-Pacific Content Recommendation Engine Revenue Market Forecast (2021-2025)
12.6 South America Content Recommendation Engine Revenue Market Forecast (2021-2025)
12.7 Middle East & Africa Content Recommendation Engine Revenue Market Forecast (2021-2025)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
14.3 Disclaimer
14.4 About US

List of Tables

Table 1. Global Content Recommendation Engine Revenue (USD Million) by Type: 2015 VS 2019 VS 2025
Table 2. Breakdown of Content Recommendation Engine by Company Type (Tier 1, Tier 2 and Tier 3)
Table 3. Global Content Recommendation Engine Revenue (USD Million) by Application: 2015 VS 2019 VS 2025
Table 4. Global Market Content Recommendation Engine Revenue (Million USD) Comparison by Regions 2015-2025
Table 5. Amazon Web Services (US) Corporate Information, Location and Competitors
Table 6. Amazon Web Services (US) Content Recommendation Engine Major Business
Table 7. Amazon Web Services (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 8. Amazon Web Services (US) SWOT Analysis
Table 9. Amazon Web Services (US) Content Recommendation Engine Product and Solutions
Table 10. Amazon Web Services (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 11. Kibo Commerce (US) Corporate Information, Location and Competitors
Table 12. Kibo Commerce (US) Content Recommendation Engine Major Business
Table 13. Kibo Commerce (US) Content Recommendation Engine Total Revenue (USD Million) (2018-2019)
Table 14. Kibo Commerce (US) SWOT Analysis
Table 15. Kibo Commerce (US) Content Recommendation Engine Product and Solutions
Table 16. Kibo Commerce (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 17. Curata (US) Corporate Information, Location and Competitors
Table 18. Curata (US) Content Recommendation Engine Major Business
Table 19. Curata (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 20. Curata (US) SWOT Analysis
Table 21. Curata (US) Content Recommendation Engine Product and Solutions
Table 22. Curata (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 23. Boomtrain (US) Corporate Information, Location and Competitors
Table 24. Boomtrain (US) Content Recommendation Engine Major Business
Table 25. Boomtrain (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 26. Boomtrain (US) SWOT Analysis
Table 27. Boomtrain (US) Content Recommendation Engine Product and Solutions
Table 28. Boomtrain (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 29. IBM (US) Corporate Information, Location and Competitors
Table 30. IBM (US) Content Recommendation Engine Major Business
Table 31. IBM (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 32. IBM (US) SWOT Analysis
Table 33. IBM (US) Content Recommendation Engine Product and Solutions
Table 34. IBM (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 35. Certona (US) Corporate Information, Location and Competitors
Table 36. Certona (US) Content Recommendation Engine Major Business
Table 37. Certona (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 38. Certona (US) SWOT Analysis
Table 39. Certona (US) Content Recommendation Engine Product and Solutions
Table 40. Certona (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 41. Revcontent (US) Corporate Information, Location and Competitors
Table 42. Revcontent (US) Content Recommendation Engine Major Business
Table 43. Revcontent (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 44. Revcontent (US) SWOT Analysis
Table 45. Revcontent (US) Content Recommendation Engine Product and Solutions
Table 46. Revcontent (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 47. Dynamic Yield (US) Corporate Information, Location and Competitors
Table 48. Dynamic Yield (US) Content Recommendation Engine Major Business
Table 49. Dynamic Yield (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 50. Dynamic Yield (US) SWOT Analysis
Table 51. Dynamic Yield (US) Content Recommendation Engine Product and Solutions
Table 52. Dynamic Yield (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 53. Cxense (Norway) Corporate Information, Location and Competitors
Table 54. Cxense (Norway) Content Recommendation Engine Major Business
Table 55. Cxense (Norway) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 56. Cxense (Norway) SWOT Analysis
Table 57. Cxense (Norway) Content Recommendation Engine Product and Solutions
Table 58. Cxense (Norway) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 59. Outbrain (US) Corporate Information, Location and Competitors
Table 60. Outbrain (US) Content Recommendation Engine Major Business
Table 61. Outbrain (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 62. Outbrain (US) SWOT Analysis
Table 63. Outbrain (US) Content Recommendation Engine Product and Solutions
Table 64. Outbrain (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 65. Taboola (US) Corporate Information, Location and Competitors
Table 66. Taboola (US) Content Recommendation Engine Major Business
Table 67. Taboola (US) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 68. Taboola (US) SWOT Analysis
Table 69. Taboola (US) Content Recommendation Engine Product and Solutions
Table 70. Taboola (US) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 71. ThinkAnalytics (UK) Corporate Information, Location and Competitors
Table 72. ThinkAnalytics (UK) Content Recommendation Engine Major Business
Table 73. ThinkAnalytics (UK) Content Recommendation Engine Total Revenue (USD Million) (2017-2018)
Table 74. ThinkAnalytics (UK) SWOT Analysis
Table 75. ThinkAnalytics (UK) Content Recommendation Engine Product and Solutions
Table 76. ThinkAnalytics (UK) Content Recommendation Engine Revenue (USD Million), Gross Margin and Market Share (2018-2019)
Table 77. Global Content Recommendation Engine Revenue (Million USD) by Players (2015-2020)
Table 78. Global Content Recommendation Engine Revenue Share by Players (2015-2020)
Table 79. Global Content Recommendation Engine Revenue (Million USD) by Regions (2015-2020)
Table 80. Global Content Recommendation Engine Revenue Market Share by Regions (2015-2020)
Table 81. North America Content Recommendation Engine Revenue by Countries (2015-2020)
Table 82. North America Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Table 83. Europe Content Recommendation Engine Revenue (Million USD) by Countries (2015-2020)
Table 84. Asia-Pacific Content Recommendation Engine Revenue (Million USD) by Countries (2015-2020)
Table 85. South America Content Recommendation Engine Revenue by Countries (2015-2020)
Table 86. South America Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Table 87. Middle East and Africa Content Recommendation Engine Revenue (Million USD) by Countries (2015-2020)
Table 88. Middle East and Africa Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Table 89. Global Content Recommendation Engine Revenue (Million USD) by Type (2015-2020)
Table 90. Global Content Recommendation Engine Revenue Share by Type (2015-2020)
Table 91. Global Content Recommendation Engine Revenue Forecast by Type (2021-2025)
Table 92. Global Content Recommendation Engine Revenue by Application (2015-2020)
Table 93. Global Content Recommendation Engine Revenue Share by Application (2015-2020)
Table 94. Global Content Recommendation Engine Revenue Forecast by Application (2021-2025)
Table 95. Global Content Recommendation Engine Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Content Recommendation Engine Picture
Figure 2. Global Content Recommendation Engine Revenue Market Share by Type in 2019
Figure 3. Solution Picture
Figure 4. Service Picture
Figure 5. Content Recommendation Engine Revenue Market Share by Application in 2019
Figure 6. Media Picture
Figure 7. Entertainment and Gaming Picture
Figure 8. Retail and Consumer Goods Picture
Figure 9. Hospitality Picture
Figure 10. Others Picture
Figure 11. Global Content Recommendation Engine Revenue (USD Million) and Growth Rate (2015-2025)
Figure 12. North America Content Recommendation Engine Revenue (Million USD) and Growth Rate (2015-2025)
Figure 13. Europe Content Recommendation Engine Revenue (Million USD) and Growth Rate (2015-2025)
Figure 14. Asia-Pacific Content Recommendation Engine Revenue (Million USD) and Growth Rate (2015-2025)
Figure 15. South America Content Recommendation Engine Revenue (Million USD) and Growth Rate (2015-2025)
Figure 16. Middle East and Africa Content Recommendation Engine Revenue (Million USD) and Growth Rate (2015-2025)
Figure 17. Global Content Recommendation Engine Revenue (Million USD) and Growth Rate (2015-2025)
Figure 18. Global Content Recommendation Engine Revenue Share by Players in 2019
Figure 19. Global Top 5 Players Content Recommendation Engine Revenue Market Share in 2019
Figure 20. Global Top 10 Players Content Recommendation Engine Revenue Market Share in 2019
Figure 21. Key Players Market Share Trend
Figure 22. Global Content Recommendation Engine Revenue (Million USD) and Growth Rate (%) (2015-2020)
Figure 23. Global Content Recommendation Engine Revenue Market Share by Regions (2015-2020)
Figure 24. Global Content Recommendation Engine Revenue Market Share by Regions in 2018
Figure 25. North America Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 26. Europe Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 27. Asia-Pacific Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 28. South America Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 29. Middle East and Africa Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 30. North America Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Figure 31. North America Content Recommendation Engine Revenue Market Share by Countries in 2019
Figure 32. USA Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 33. Canada Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 34. Mexico Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 35. Europe Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Figure 36. Europe Content Recommendation Engine Revenue Market Share by Countries in 2019
Figure 37. Germany Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 38. UK Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 39. France Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 40. Russia Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 41. Italy Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 42. Asia-Pacific Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Figure 43. Asia-Pacific Content Recommendation Engine Revenue Market Share by Countries in 2019
Figure 44. China Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 45. Japan Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 46. Korea Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 47. India Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 48. Southeast Asia Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 49. South America Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Figure 50. South America Content Recommendation Engine Revenue Market Share by Countries in 2019
Figure 51. Brazil Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 52. Argentina Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 53. Middle East and Africa Content Recommendation Engine Revenue Market Share by Countries (2015-2020)
Figure 54. Middle East and Africa Content Recommendation Engine Revenue Market Share by Countries in 2019
Figure 55. Saudi Arabia Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 56. UAE Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 57. Egypt Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 58. South Africa Content Recommendation Engine Revenue and Growth Rate (2015-2020)
Figure 59. Global Content Recommendation Engine Revenue Share by Type (2015-2020)
Figure 60. Global Content Recommendation Engine Revenue Share by Type in 2019
Figure 61. Global Content Recommendation Engine Market Share Forecast by Type (2021-2025)
Figure 62. Global Solution Revenue Growth Rate (2015-2020)
Figure 63. Global Service Revenue Growth Rate (2015-2020)
Figure 64. Global Content Recommendation Engine Revenue Share by Application (2015-2020)
Figure 65. Global Content Recommendation Engine Revenue Share by Application in 2019
Figure 66. Global Content Recommendation Engine Market Share Forecast by Application (2021-2025)
Figure 67. Global Media Revenue Growth Rate (2015-2020)
Figure 68. Global Entertainment and Gaming Revenue Growth Rate (2015-2020)
Figure 69. Global Retail and Consumer Goods Revenue Growth Rate (2015-2020)
Figure 70. Global Hospitality Revenue Growth Rate (2015-2020)
Figure 71. Global Others Revenue Growth Rate (2015-2020)
Figure 72. Global Content Recommendation Engine Revenue (Million USD) and Growth Rate Forecast (2021-2025)
Figure 73. Global Content Recommendation Engine Revenue (Million USD) Forecast by Regions (2021-2025)
Figure 74. Global Content Recommendation Engine Revenue Market Share Forecast by Regions (2021-2025)
Figure 75. North America Content Recommendation Engine Revenue Market Forecast (2021-2025)
Figure 76. Europe Content Recommendation Engine Revenue Market Forecast (2021-2025)
Figure 77. Asia-Pacific Content Recommendation Engine Revenue Market Forecast (2021-2025)
Figure 78. South America Content Recommendation Engine Revenue Market Forecast (2021-2025)
Figure 79. Middle East and Africa Content Recommendation Engine Revenue Market Forecast (2021-2025)
Figure 80. Sales Channel: Direct Channel vs Indirect Channel
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  • Pay-TV quarterly metrics 2Q 2023
    Published: 22-Dec-2023        Price: US 1999 Onwards        Pages: 0
    The pay-TV market is changing rapidly as consumer expectations and greater price competition exert pressure. Our quarterly metrics include market shares, access technology splits and quarterly growth figures for 51 countries. Data coverage Each quarter, the following metrics are published for 51 countries and 247 operators: country-level pay-TV connections and household penetration rates country-level breakdown of access technologies, ......
  • Monetisation strategies in the face of Eutelsat OneWeb, Kuiper and Starlink
    Published: 22-Dec-2023        Price: US 4999 Onwards        Pages: 10
    "The growth of NGSO constellations provides opportunities for GEO service providers to refine their offerings and remain relevant and prosperous in the long-term." Geostationary Earth orbit (GEO) satellite operators and service providers are no longer the only option for communications end users, with low-Earth orbit high-throughput satellite (LEO-HTS) constellation demand increasing rapidly. New GEO strategies are required to remain relevant in this new and highly co......
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