Content Recommendation Engine Market to reach USD 5.12 billion | IBM, Amazon Web Services.

HTF Market Intelligence released a new research report of 80 pages on title 'Global Content Recommendation Engine Market Size Study, by Component (Solution, Service) by Filtering Approach (Collaborative, Content-Based, Hybrid) by Vertical (E-Commerce, Hospitality, IT & Telecommunication, Education & Training, Healthcare & Pharmaceutical, Others) Regional Forecasts 2017-2025' with detailed analysis, forecast and strategies. The study covers key regions that includes North America, Europe, Asia Pacific, Latin America, Rest of the World and important players such as IBM, Amazon Web Services.

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Global Content Recommendation Engine to reach USD 5.12 billion by 2025.

Global Content Recommendation Engine Market valued approximately USD 3.71 million in 2016 is anticipated to grow with a healthy growth rate of more than 17.49% over the forecast period 2017-2025. Some of the factors driving the growth of Content Recommendation Engine Market is increased focus on enhancing customer experience, rapid digitalization and need for analyzing large volume of customer data and Protecting sensitive information of customers is also restraining the growth of the market.

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 Filtering
Content-Based Filtering
Hybrid Filtering

By Vertical:

E-Commerce
Hospitality
IT & Telecommunication
Education & Training
Healthcare & Pharmaceutical
Others

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

Furthermore, years considered for the study are as follows:

Historical year – 2015
Base year – 2016
Forecast period – 2017 to 2025

Some of the key manufacturers involved in the market are IBM, Amazon Web Services, Revcontent, Taboola, Outbrain. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.

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

View Detailed Table of Content @ https://www.htfmarketreport.com/reports/1274703-global-content-recommendation-engine-market-size-study-by-component

Companies Mentioned in the Report

IBM
Overview
Financial (Subject to Data Availability)
Product Summary
Recent Developments
Amazon Web Services
Revcontent
Taboola
Outbrain
Cxense
Dynamic Yield
Curata
Boomtrain
Certona

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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)

....Continued

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