Content Recommendation Engine Market Key Country Data 2021 | Industry Share, Recent Trends, Growth Opportunities, Business Boosting Strategies, Analysis, Development Challenges, and Forecasts till 2030

Global Content Recommendation Engine Market valued approximately USD 1.58 billion in 2018 is anticipated to grow with a CAGR of 33.72% over the forecasted period of 2019-2026. The content recommendation engine is a software that analyzes available data to make suggestions for something that a website user might be interested in, such as a book, a video or a job, among other possibilities. Content Recommendation Engine has enabled the corporate world to work smarter, faster as well as doing more with significantly less. Increasing focus on enhancing customer experience, rapid digitalization, and need for analyzing large volumes of customer data are factors driving the market across the globe. It is essential to understand that Content Recommendation Engine includes several minor technologies like deep learning, machine learning, robotics, etc.

The regional analysis of Global Content Recommendation Engine Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the fastest growing region across the world in terms of market share. Whereas, owing to the countries such as China, Japan, and India, Asia Pacific region is anticipated to be the dominating region over the forecast period 2019-2026.

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The leading market players mainly include-
IBM
Amazon Web Services
Revcontent
Taboola
Outbrain
Cxense
Dynamic Yield
Curata

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below: 

By Component:

Solution
Service

By Filtering Approach:

Collaborative
Content-Based
Hybrid

By Vertical:

E-commerce
Media, Entertainment & Gaming
Retail
Hospitality
IT & Telecommunication
BFSI
Education & training
Healthcare & Pharmaceutical
Others

By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

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Target Audience of the Global Voice Analytics in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

TABLE OF CONTENTS
Chapter 1. Global Content Recommendation Engine Market Definition and Scope
1.1. Research Objective
1.2. Market Definition
1.3. Scope of The Study
1.4. Years Considered for The Study
1.5. Currency Conversion Rates
1.6. Report Limitation
Chapter 2. Research Methodology
2.1. Research Process
2.1.1. Data Mining
2.1.2. Analysis
2.1.3. Market Estimation
2.1.4. Validation
2.1.5. Publishing
2.2. Research Assumption
Chapter 3. Executive Summary
3.1. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
3.2. Key Trends
Chapter 4. Global Content Recommendation Engine Market Dynamics
4.1. Growth Prospects
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.2. Industry Analysis
4.2.1. Porter’s 5 Force Model
4.2.2. PEST Analysis
4.2.3. Value Chain Analysis
4.3. Analyst Recommendation & Conclusion

Chapter 5. Global Content Recommendation Engine Market, By Component
5.1. Market Snapshot
5.2. Market Performance – Potential Model
5.3. Global Content Recommendation Engine Market, Sub Segment Analysis
5.3.1. Solution
5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.2. Service
5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6. Global Content Recommendation Engine Market, by Filtering Approach
6.1. Market Snapshot
6.2. Market Performance – Potential Model
6.3. Global Content Recommendation Engine Market, Sub Segment Analysis
6.3.1. Collaborative Filtering
6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.3.2. Content-Based Filtering
6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.3.3. Hybrid Filtering
6.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

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Steven is working as a news editor with America News Hour. He started his career as a freelance news writer in 2012 and has helped people in all aspects of online marketing through the expert industry coverage. In addition to writing content as a freelancer, he is also an expert in business, lifestyle, politics, sports and tech & science news. His articles are now featured on the overwhelming news website and channels such as MarketWatch, Routers etc.

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