Content Recommendation Engine Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Content Recommendation Engine Market is segmented by Type (Solution, Services), Enterprise Size (Large Enterprise, Small and Medium Enterprise), End-user Industry (Media, Entertainment & Gaming, E-Commerce and Retail, BFSI, Hospitality, IT and Telecommunication), and Geography.

Content Recommendation Engine Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Content Recommendation Engine Market Size

Content Recommendation Engine Market Summary
Study Period 2019 - 2030
Base Year For Estimation 2024
Forecast Data Period 2025 - 2030
CAGR 25.00 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Medium

Major Players

Content Recommendation Engine Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Content Recommendation Engine Market with other markets in Technology, Media and Telecom Industry

Automation

Digital Commerce

Electronics

Information Technology

Media and Entertainment

Security & Surveillance

Content Recommendation Engine Market Analysis

The Content Recommendation Engine Market is expected to register a CAGR of 25% during the forecast period.

  • The advancement of digitalization across emerging economies drives the market. The number of people around the world using the internet has grown to around 4.54 billion, which is an increase of 7 % (298 million new users) compared to January 2019 (source: Global Web Index). Further, there are 3.8 billion social media users in January 2020, and this number is increasing by more than 9 % annually (321 million new users). Also, online via mobile device e-commerce purchase in the third quarter of 2019, Indonesia, Thailand, and the Philippines were having the highest user with 80%, 69%, and 66%, respectively. Such trends are focusing the players for the adoption of a content recommendation engine to increase the revenue, retention, and traffic.
  • Further, the advantage in functionality over collaborative based filtering drives the market. Content-based recommenders exploit only ratings provided by the active user to build her/his own profile. Instead, collaborative filtering methods need ratings from other users in order to find the 'nearest neighbors' of the active user. Also, Content-based recommenders are capable of recommending items that are not yet rated by any of the users. As a consequence, they do not suffer from the first-rater problem, which affects collaborative recommenders, which rely only on users' preferences to make recommendations.
  • However, Limited Content Analysis is a major challenge for market growth. Content-based techniques have a natural limit in the number and type of features associated, whether automatically or manually, with the objects they recommend. The domain knowledge is needed for it. No content-based recommendation system can provide the suitable suggestions if the analyzed content does not contain enough data to discriminate items the user likes from items the user does not like. To sum up, both automatic and manually assignment of features to items could not be sufficient to define distinguishing aspects of items that turn out to be necessary for the elicitation of user interest.
  • Further, in the COVID-19 pandemic, the market has not slowed down as the retention rate for the e-commerce sector, media, and entertainment segment has risen sharply, which caters to the adoption of content recommendation engine platform. Accenture says they expect a 160% increase in e-commerce purchases from new and low-frequency buyers. Also, the rise in the penetration of the OTT platform has boosted the market. In India, most users are more likely to switch towards paid OTT audio subscription, only if the charges are approximately Rs 25 per month, adding that 62 percent of consumers surveyed are willing to switch to paid subscription models in the pandemic period.

Content Recommendation Engine Industry Overview

The content recommendation engine market is moderately competitive, consisting of few major players, and in terms of market share, few of the players are currently dominating the market. However, with the advancement in the analytics across AI-based platforms, new players are increasing their market presence, thereby expanding their business footprint across the emerging economies. Key players are Amazon Web Services (Amazon.com, Inc.), Taboola, Inc. (Outbrain, Inc.), Cxense ASA, and others. Recent developments in the market are -

  • March 2020 - Aiclick united Tencent text travel officially launched a new product - text travel content recommendation management system. The product is jointly developed by aiclick.com and Tencent text travel, aiming to provide domestic scenic spot operators and relevant tourism enterprise customers with scenic spot popularity, audience trend, audience portrait, and regional comparison and other market insights analysis maps and professional content marketing ability.

Content Recommendation Engine Market Leaders

  1. Amazon Web Services (Amazon.com, Inc.)

  2. Cxense ASA

  3. Dynamic Yield Ltd

  4. Curata Inc.

  5. Taboola, Inc. (Outbrain, Inc.)

  6. *Disclaimer: Major Players sorted in no particular order
Content Recommendation Engine Market Concentration
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Content Recommendation Engine Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Advancement of Digitalization Across Emerging Economies
    • 4.2.2 Advantage Over Collaborative Based Filtering
  • 4.3 Market Restraints
    • 4.3.1 Limited Content Analysis Through Platform
  • 4.4 Industry Attractiveness - Porter's Five Force Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry
  • 4.5 Emerging Use-cases (Key use-cases pertaining to the utilization of Content Recommendation Engine across multiple end-users)
  • 4.6 Impact of COVID-19 on the Industry

5. MARKET SEGMENTATION

  • 5.1 By Component
    • 5.1.1 Solution
    • 5.1.2 Service
  • 5.2 By Enterprise Size
    • 5.2.1 Large Enterprise
    • 5.2.2 Small and Medium Enterprise
  • 5.3 By End-user Industry
    • 5.3.1 Media, Entertainment & Gaming
    • 5.3.2 E-Commerce and Retail
    • 5.3.3 BFSI
    • 5.3.4 Hospitality
    • 5.3.5 IT and Telecommunication
    • 5.3.6 Other End-user Industries
  • 5.4 Geography
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia-Pacific
    • 5.4.4 Latin America
    • 5.4.5 Middle East & Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Amazon Web Services (Amazon.com, Inc.)
    • 6.1.2 Cxense ASA
    • 6.1.3 Dynamic Yield Ltd
    • 6.1.4 Curata Inc.
    • 6.1.5 Taboola, Inc. (Outbrain, Inc.)
    • 6.1.6 Muvi LLC
    • 6.1.7 Piano Inc.
    • 6.1.8 ThinkAnalytics Ltd.
    • 6.1.9 Episerver Inc.
    • 6.1.10 Uberflip
  • *List Not Exhaustive

7. INVESTMENT ANALYSIS

8. MARKET OPPORTUNITIES AND FUTURE TRENDS

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Content Recommendation Engine Industry Segmentation

The content recommendation engine collects and analyzes data that is based on users' behavior, and it assists in offering personalized and relevant content or product recommendations. The end-user for the market is Media, Entertainment & Gaming, E-Commerce and Retail, and others.

By Component Solution
Service
By Enterprise Size Large Enterprise
Small and Medium Enterprise
By End-user Industry Media, Entertainment & Gaming
E-Commerce and Retail
BFSI
Hospitality
IT and Telecommunication
Other End-user Industries
Geography North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
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Content Recommendation Engine Market Research FAQs

What is the current Content Recommendation Engine Market size?

The Content Recommendation Engine Market is projected to register a CAGR of 25% during the forecast period (2025-2030)

Who are the key players in Content Recommendation Engine Market?

Amazon Web Services (Amazon.com, Inc.), Cxense ASA, Dynamic Yield Ltd, Curata Inc. and Taboola, Inc. (Outbrain, Inc.) are the major companies operating in the Content Recommendation Engine Market.

Which is the fastest growing region in Content Recommendation Engine Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Content Recommendation Engine Market?

In 2025, the North America accounts for the largest market share in Content Recommendation Engine Market.

What years does this Content Recommendation Engine Market cover?

The report covers the Content Recommendation Engine Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Content Recommendation Engine Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Content Recommendation Engine Industry Report

Statistics for the 2025 Content Recommendation Engine market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Content Recommendation Engine analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.