Content Recommendation Engine Market:
Executive Summary
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
- 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 – 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
Request Sample Report @ https://www.wiseguyreports.com/sample-request/3271430-global-content-recommendation-engine-market-size-study-by
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
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
9.1. Company Market Share (Subject to Data Availability)
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. IBM
9.3.1.1. Overview
9.3.1.2. Financial (Subject to Data Availability)
9.3.1.3. Product Summary
9.3.1.4. Recent Developments
9.3.2. Amazon Web Services
9.3.3. Revcontent
9.3.4. Taboola
9.3.5. Outbrain
9.3.6. Cxense
9.3.7. Dynamic Yield
9.3.8. Curata
9.3.9. Boomtrain
9.3.10. Certona
Continuous…
For further information on this report, visit – https://www.wiseguyreports.com/reports/3271430-global-content-recommendation-engine-market-size-study-by
Media Contact
Company Name: Wiseguyreports.com
Contact Person: Norah Trent
Email: Send Email
Phone: +1 646 845 9349, +44 208 133 9349
City: Pune
State: Maharashtra
Country: India
Website: www.wiseguyreports.com