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Global Content Recommendation Engines Market 2024 by Company, Regions, Type and Application, Forecast to 2030

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1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of Content Recommendation Engines by Deployment Mode
    • 1.3.1 Overview: Global Content Recommendation Engines Market Size by Deployment Mode: 2019 Versus 2023 Versus 2030
    • 1.3.2 Global Content Recommendation Engines Consumption Value Market Share by Deployment Mode in 2023
    • 1.3.3 Local Deployment
    • 1.3.4 Cloud Deployment
  • 1.4 Global Content Recommendation Engines Market by Application
    • 1.4.1 Overview: Global Content Recommendation Engines Market Size by Application: 2019 Versus 2023 Versus 2030
    • 1.4.2 News and Media
    • 1.4.3 Entertainment and Games
    • 1.4.4 E-commerce
    • 1.4.5 Finance
    • 1.4.6 others
  • 1.5 Global Content Recommendation Engines Market Size & Forecast
  • 1.6 Global Content Recommendation Engines Market Size and Forecast by Region
    • 1.6.1 Global Content Recommendation Engines Market Size by Region: 2019 VS 2023 VS 2030
    • 1.6.2 Global Content Recommendation Engines Market Size by Region, (2019-2030)
    • 1.6.3 North America Content Recommendation Engines Market Size and Prospect (2019-2030)
    • 1.6.4 Europe Content Recommendation Engines Market Size and Prospect (2019-2030)
    • 1.6.5 Asia-Pacific Content Recommendation Engines Market Size and Prospect (2019-2030)
    • 1.6.6 South America Content Recommendation Engines Market Size and Prospect (2019-2030)
    • 1.6.7 Middle East & Africa Content Recommendation Engines Market Size and Prospect (2019-2030)

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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
    • 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 (2019-2024)
  • 3.2 Market Share Analysis (2023)
    • 3.2.1 Market Share of Content Recommendation Engines by Company Revenue
    • 3.2.2 Top 3 Content Recommendation Engines Players Market Share in 2023
    • 3.2.3 Top 6 Content Recommendation Engines Players Market Share in 2023
  • 3.3 Content Recommendation Engines Market: Overall Company Footprint Analysis
    • 3.3.1 Content Recommendation Engines Market: Region Footprint
    • 3.3.2 Content Recommendation Engines Market: Company Product Type Footprint
    • 3.3.3 Content Recommendation Engines Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Deployment Mode

  • 4.1 Global Content Recommendation Engines Consumption Value and Market Share by Deployment Mode (2019-2024)
  • 4.2 Global Content Recommendation Engines Market Forecast by Deployment Mode (2025-2030)

5 Market Size Segment by Application

  • 5.1 Global Content Recommendation Engines Consumption Value Market Share by Application (2019-2024)
  • 5.2 Global Content Recommendation Engines Market Forecast by Application (2025-2030)

6 North America

  • 6.1 North America Content Recommendation Engines Consumption Value by Deployment Mode (2019-2030)
  • 6.2 North America Content Recommendation Engines Market Size by Application (2019-2030)
  • 6.3 North America Content Recommendation Engines Market Size by Country
    • 6.3.1 North America Content Recommendation Engines Consumption Value by Country (2019-2030)
    • 6.3.2 United States Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 6.3.3 Canada Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 6.3.4 Mexico Content Recommendation Engines Market Size and Forecast (2019-2030)

7 Europe

  • 7.1 Europe Content Recommendation Engines Consumption Value by Deployment Mode (2019-2030)
  • 7.2 Europe Content Recommendation Engines Consumption Value by Application (2019-2030)
  • 7.3 Europe Content Recommendation Engines Market Size by Country
    • 7.3.1 Europe Content Recommendation Engines Consumption Value by Country (2019-2030)
    • 7.3.2 Germany Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 7.3.3 France Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 7.3.4 United Kingdom Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 7.3.5 Russia Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 7.3.6 Italy Content Recommendation Engines Market Size and Forecast (2019-2030)

8 Asia-Pacific

  • 8.1 Asia-Pacific Content Recommendation Engines Consumption Value by Deployment Mode (2019-2030)
  • 8.2 Asia-Pacific Content Recommendation Engines Consumption Value by Application (2019-2030)
  • 8.3 Asia-Pacific Content Recommendation Engines Market Size by Region
    • 8.3.1 Asia-Pacific Content Recommendation Engines Consumption Value by Region (2019-2030)
    • 8.3.2 China Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 8.3.3 Japan Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 8.3.4 South Korea Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 8.3.5 India Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 8.3.6 Southeast Asia Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 8.3.7 Australia Content Recommendation Engines Market Size and Forecast (2019-2030)

9 South America

  • 9.1 South America Content Recommendation Engines Consumption Value by Deployment Mode (2019-2030)
  • 9.2 South America Content Recommendation Engines Consumption Value by Application (2019-2030)
  • 9.3 South America Content Recommendation Engines Market Size by Country
    • 9.3.1 South America Content Recommendation Engines Consumption Value by Country (2019-2030)
    • 9.3.2 Brazil Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 9.3.3 Argentina Content Recommendation Engines Market Size and Forecast (2019-2030)

10 Middle East & Africa

  • 10.1 Middle East & Africa Content Recommendation Engines Consumption Value by Deployment Mode (2019-2030)
  • 10.2 Middle East & Africa Content Recommendation Engines Consumption Value by Application (2019-2030)
  • 10.3 Middle East & Africa Content Recommendation Engines Market Size by Country
    • 10.3.1 Middle East & Africa Content Recommendation Engines Consumption Value by Country (2019-2030)
    • 10.3.2 Turkey Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 10.3.3 Saudi Arabia Content Recommendation Engines Market Size and Forecast (2019-2030)
    • 10.3.4 UAE Content Recommendation Engines Market Size and Forecast (2019-2030)

11 Market Dynamics

  • 11.1 Content Recommendation Engines Market Drivers
  • 11.2 Content Recommendation Engines Market Restraints
  • 11.3 Content Recommendation Engines Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 Content Recommendation Engines Industry Chain
  • 12.2 Content Recommendation Engines Upstream Analysis
  • 12.3 Content Recommendation Engines Midstream Analysis
  • 12.4 Content Recommendation Engines Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    According to our (Global Info Research) latest study, the global Content Recommendation Engines market size was valued at US$ 6616 million in 2023 and is forecast to a readjusted size of USD 35320 million by 2030 with a CAGR of 27.3% during review period.
    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.
    This report is a detailed and comprehensive analysis for global Content Recommendation Engines market. Both quantitative and qualitative analyses are presented by company, by region & country, by Deployment Mode and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
    Key Features:
    Global Content Recommendation Engines market size and forecasts, in consumption value ($ Million), 2019-2030
    Global Content Recommendation Engines market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
    Global Content Recommendation Engines market size and forecasts, by Deployment Mode and by Application, in consumption value ($ Million), 2019-2030
    Global Content Recommendation Engines market shares of main players, in revenue ($ Million), 2019-2024
    The Primary Objectives in This Report Are:
    To determine the size of the total market opportunity of global and key countries
    To assess the growth potential for Content Recommendation Engines
    To forecast future growth in each product and end-use market
    To assess competitive factors affecting the marketplace
    This report profiles key players in the global Content Recommendation Engines market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Taboola, Outbrain, Dynamic Yield (McDonald), Amazon Web Services, Adob​​e, Kibo Commerce, Optimizely, Salesforce (Evergage), Zeta Global, Emarsys (SAP), etc.
    This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
    Market segmentation
    Content Recommendation Engines market is split by Deployment Mode and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Deployment Mode and by Application. This analysis can help you expand your business by targeting qualified niche markets.
    Market segmentation
    Content Recommendation Engines market is split by Deployment Mode and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Deployment Mode and by Application. This analysis can help you expand your business by targeting qualified niche markets.
    Market segment by Deployment Mode
    Local Deployment
    Cloud Deployment
    Market segment by Application
    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 and Rest of Asia-Pacific)
    South America (Brazil, 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 13 chapters:
    Chapter 1, to describe Content Recommendation Engines product scope, market overview, market estimation caveats and base year.
    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 2024.
    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 Deployment Mode and by Application, with consumption value and growth rate by Deployment Mode, by Application, from 2019 to 2030.
    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 2019 to 2024.and Content Recommendation Engines market forecast, by regions, by Deployment Mode and by Application, with consumption value, from 2024 to 2030.
    Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
    Chapter 12, the key raw materials and key suppliers, and industry chain of Content Recommendation Engines.
    Chapter 13, to describe Content Recommendation Engines research findings and conclusion.

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