Content Recommendation Engine Market Report – Research, Industry Analysis Reports and Market Demands

Global Content Recommendation Engine Market Size study, 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) and Regional Forecasts 2019-2026

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Table of Content

Chapter 1. Executive Summary

1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
- 1.3.1. Content Recommendation Engine Market, by Component, 2016-2026 (USD Billion)
- 1.3.2. Content Recommendation Engine Market, by Filtering Approach, 2016-2026 (USD Billion)
- 1.3.3. Content Recommendation Engine Market, by Vertical, 2016-2026 (USD Billion)
- 1.3.4. Content Recommendation Engine Market, by Region, 2016-2026 (USD Billion)
1.4. Estimation Methodology
1.5. Research Assumption

Chapter 2. Global Content Recommendation Engine Market Definition and Scope

2.1. Objective of the Study
2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates

Chapter 3. Global Content Recommendation Engine Market Dynamics

3.1. See Saw Analysis
- 3.1.1. Market Drivers
- 3.1.2. Market Challenges
- 3.1.3. Market Opportunities

Chapter 4. Global Content Recommendation Engine Market Industry Analysis

4.1. Porter’s 5 Force Model
- 4.1.1. Bargaining Power of Buyers
- 4.1.2. Bargaining Power of Suppliers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.2. PEST Analysis
- 4.2.1. Political Scenario
- 4.2.2. Economic Scenario
- 4.2.3. Social Scenario
- 4.2.4. Technological Scenario
4.3. Key Buying Criteria
4.4. Regulatory Framework
4.5. Investment Vs Adoption Scenario
4.6. Analyst Recommendation & Conclusion

Chapter 5. Global Content Recommendation Engine Market, by Component

Description

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.

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

Furthermore, years considered for the study are as follows:

Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026

Target Audience of the Global Content Recommendation Engine Market 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

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TABLE OF CONTENTS

Chapter 1. Executive Summary

Chapter 2. Global Content Recommendation Engine Market Definition and Scope

Chapter 3. Global Content Recommendation Engine Market Dynamics

Chapter 4. Global Content Recommendation Engine Market Industry Analysis

Chapter 5. Global Content Recommendation Engine Market, by Component

Chapter 6. Global Content Recommendation Engine Market, by Filtering Approach

Chapter 7. Global Content Recommendation Engine Market, by Vertical

Chapter 8. Global Content Recommendation Engine Market, by Regional Analysis

Chapter 9. Competitive Intelligence

Chapter 10. Research Process