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Global Content Recommendation Engine Market Research Report 2024

Global Content Recommendation Engine Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1886223

No of Pages : 82

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Synopsis

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 Content Recommendation Engine market was valued at US$ 4932 million in 2023 and is anticipated to reach US$ 16070 million by 2030, witnessing 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.

This report aims to provide a comprehensive presentation of the global market for Content Recommendation Engine, 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.

Report Scope

The Content Recommendation Engine market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Content Recommendation Engine market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Content Recommendation Engine companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

  • Amazon Web Services
  • Boomtrain
  • Certona
  • Curata
  • Cxense
  • Dynamic Yield
  • IBM
  • Kibo Commerce
  • Outbrain
  • Revcontent
  • Taboola
  • ThinkAnalytics

Segment by Type

  • Solution
  • Service

Segment by Application

  • Media
  • Entertainment and Gaming
  • Retail and Consumer Goods
  • Hospitality
  • Others

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Netherlands)
  • Asia-Pacific (China, Japan, South Korea, China Taiwan, Southeast Asia, India)
  • Latin America, Middle East & Africa (Latin America, Mexico, Brazil, Turkey)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Content Recommendation Engine companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Content Recommendation Engine Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Solution
1.2.3 Service
1.3 Market by Application
1.3.1 Global Content Recommendation Engine Market Growth by Application: 2019 VS 2023 VS 2030
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 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Content Recommendation Engine Market Perspective (2019-2030)
2.2 Content Recommendation Engine Growth Trends by Region
2.2.1 Global Content Recommendation Engine Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Content Recommendation Engine Historic Market Size by Region (2019-2024)
2.2.3 Content Recommendation Engine Forecasted Market Size by Region (2025-2030)
2.3 Content Recommendation Engine Market Dynamics
2.3.1 Content Recommendation Engine Industry Trends
2.3.2 Content Recommendation Engine Market Drivers
2.3.3 Content Recommendation Engine Market Challenges
2.3.4 Content Recommendation Engine Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Content Recommendation Engine Players by Revenue
3.1.1 Global Top Content Recommendation Engine Players by Revenue (2019-2024)
3.1.2 Global Content Recommendation Engine Revenue Market Share by Players (2019-2024)
3.2 Global Content Recommendation Engine Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Content Recommendation Engine Revenue
3.4 Global Content Recommendation Engine Market Concentration Ratio
3.4.1 Global Content Recommendation Engine Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Content Recommendation Engine Revenue in 2023
3.5 Content Recommendation Engine Key Players Head office and Area Served
3.6 Key Players Content Recommendation Engine Product Solution and Service
3.7 Date of Enter into Content Recommendation Engine Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Content Recommendation Engine Breakdown Data by Type
4.1 Global Content Recommendation Engine Historic Market Size by Type (2019-2024)
4.2 Global Content Recommendation Engine Forecasted Market Size by Type (2025-2030)
5 Content Recommendation Engine Breakdown Data by Application
5.1 Global Content Recommendation Engine Historic Market Size by Application (2019-2024)
5.2 Global Content Recommendation Engine Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Content Recommendation Engine Market Size (2019-2030)
6.2 North America Content Recommendation Engine Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Content Recommendation Engine Market Size by Country (2019-2024)
6.4 North America Content Recommendation Engine Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Content Recommendation Engine Market Size (2019-2030)
7.2 Europe Content Recommendation Engine Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Content Recommendation Engine Market Size by Country (2019-2024)
7.4 Europe Content Recommendation Engine Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Content Recommendation Engine Market Size (2019-2030)
8.2 Asia-Pacific Content Recommendation Engine Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Content Recommendation Engine Market Size by Region (2019-2024)
8.4 Asia-Pacific Content Recommendation Engine Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Content Recommendation Engine Market Size (2019-2030)
9.2 Latin America Content Recommendation Engine Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Content Recommendation Engine Market Size by Country (2019-2024)
9.4 Latin America Content Recommendation Engine Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Content Recommendation Engine Market Size (2019-2030)
10.2 Middle East & Africa Content Recommendation Engine Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Content Recommendation Engine Market Size by Country (2019-2024)
10.4 Middle East & Africa Content Recommendation Engine Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services
11.1.1 Amazon Web Services Company Detail
11.1.2 Amazon Web Services Business Overview
11.1.3 Amazon Web Services Content Recommendation Engine Introduction
11.1.4 Amazon Web Services Revenue in Content Recommendation Engine Business (2019-2024)
11.1.5 Amazon Web Services Recent Development
11.2 Boomtrain
11.2.1 Boomtrain Company Detail
11.2.2 Boomtrain Business Overview
11.2.3 Boomtrain Content Recommendation Engine Introduction
11.2.4 Boomtrain Revenue in Content Recommendation Engine Business (2019-2024)
11.2.5 Boomtrain Recent Development
11.3 Certona
11.3.1 Certona Company Detail
11.3.2 Certona Business Overview
11.3.3 Certona Content Recommendation Engine Introduction
11.3.4 Certona Revenue in Content Recommendation Engine Business (2019-2024)
11.3.5 Certona Recent Development
11.4 Curata
11.4.1 Curata Company Detail
11.4.2 Curata Business Overview
11.4.3 Curata Content Recommendation Engine Introduction
11.4.4 Curata Revenue in Content Recommendation Engine Business (2019-2024)
11.4.5 Curata Recent Development
11.5 Cxense
11.5.1 Cxense Company Detail
11.5.2 Cxense Business Overview
11.5.3 Cxense Content Recommendation Engine Introduction
11.5.4 Cxense Revenue in Content Recommendation Engine Business (2019-2024)
11.5.5 Cxense Recent Development
11.6 Dynamic Yield
11.6.1 Dynamic Yield Company Detail
11.6.2 Dynamic Yield Business Overview
11.6.3 Dynamic Yield Content Recommendation Engine Introduction
11.6.4 Dynamic Yield Revenue in Content Recommendation Engine Business (2019-2024)
11.6.5 Dynamic Yield Recent Development
11.7 IBM
11.7.1 IBM Company Detail
11.7.2 IBM Business Overview
11.7.3 IBM Content Recommendation Engine Introduction
11.7.4 IBM Revenue in Content Recommendation Engine Business (2019-2024)
11.7.5 IBM Recent Development
11.8 Kibo Commerce
11.8.1 Kibo Commerce Company Detail
11.8.2 Kibo Commerce Business Overview
11.8.3 Kibo Commerce Content Recommendation Engine Introduction
11.8.4 Kibo Commerce Revenue in Content Recommendation Engine Business (2019-2024)
11.8.5 Kibo Commerce Recent Development
11.9 Outbrain
11.9.1 Outbrain Company Detail
11.9.2 Outbrain Business Overview
11.9.3 Outbrain Content Recommendation Engine Introduction
11.9.4 Outbrain Revenue in Content Recommendation Engine Business (2019-2024)
11.9.5 Outbrain Recent Development
11.10 Revcontent
11.10.1 Revcontent Company Detail
11.10.2 Revcontent Business Overview
11.10.3 Revcontent Content Recommendation Engine Introduction
11.10.4 Revcontent Revenue in Content Recommendation Engine Business (2019-2024)
11.10.5 Revcontent Recent Development
11.11 Taboola
11.11.1 Taboola Company Detail
11.11.2 Taboola Business Overview
11.11.3 Taboola Content Recommendation Engine Introduction
11.11.4 Taboola Revenue in Content Recommendation Engine Business (2019-2024)
11.11.5 Taboola Recent Development
11.12 ThinkAnalytics
11.12.1 ThinkAnalytics Company Detail
11.12.2 ThinkAnalytics Business Overview
11.12.3 ThinkAnalytics Content Recommendation Engine Introduction
11.12.4 ThinkAnalytics Revenue in Content Recommendation Engine Business (2019-2024)
11.12.5 ThinkAnalytics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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