Press release
Global Content Recommendation Engine Market To Grow At A CAGR Of +34% During Forecast Period 2018-2023
The global content recommendation engine market which was represented a CAGR of approximately +34% in the midst of the estimate time span of 2018-2023.
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About Content Recommendation Engine:
A method of setting controls on a digital communication device operated by an end user participant in a digital content event provided from a digital communication network includes operating a tracking control in the digital communication network to track activity of the digital communication device in a context of the digital content event; operating a timer in conjunction with the activity to form a time-stamped set of ranking controls.
Top Key Players:
Amazon Web Services (US), Boomtrain (US), Certona (US), Curata (US), Cxense (Norway), Dynamic Yield (US), IBM (US), Kibo Commerce (US), Outbrain (US), Revcontent (US), Taboola (US), and ThinkAnalytics (UK).
Segment By Regions/Countries, This Content Recommendation Engine Market Report Covers
• North America
• Europe
• Asia Pacific
• Middle East & Africa
• Latin America
On the basis of geographical regions, the report has been divided into areas such as checks out the capability of the Global Content Recommendation Engine Market in the areas of North America, Europe, Japan, Asia Pacific, Latin America, and the Middle East and Africa (MEA). North America is attributed to the region where most of the technological advancements have been made. Along with this, data collection from company websites, press releases and several regional and global databases and various other secondary research methods were commenced for articulating this study.
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In the overview section of the market, the reports gives a gist of the qualitative analysis of the overall Global Content Recommendation Engine Market. Growth rates of all the segments within the market have been firm on the global as well as a regional front. In addition to this, the readers are allowed to gauge the most promising or profitable areas for investments in the market according to the end-users, countries and other criteria’s as well. A thorough analysis of these factors has been undertaken for determining the future growth.
Market by Component:
• Solution
• Service
Market by Filtering Approach:
• Collaborative Filtering
• Content-based Filtering
• Hybrid Filtering
Market By Organization Size:
• Large Enterprises
• Small and Medium Enterprises
Market By Vertical:
• E-commerce
• Media, Entertainment & Gaming
• Retail & Consumer Goods
• Hospitality
• IT & Telecommunication
• BFSI
• Education & Training
• Healthcare & Pharmaceutical
• Others (Manufacturing, Automotive, and Supply Chain Management)
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In This Study, The Years Considered To Estimate The Market Size Of Content Recommendation Engine Are As Follows:
History Year: 2015-2018
Base Year: 2018
Estimated Year: 2018
Forecast Year 2018 to 2023
Table Of Content:
The Global Content Recommendation Engine Market Report Contains:
1. Global market overview
2. Global market competition by manufacturers, type and application
3. USA/China/Japan/Europe/India and Southeast Asia are the regional analysis of content recommendation engine (volume, value and sales price)
4. Analysis of global market by manufacturer
5. Content recommendation engine manufacturing cost analysis
6. Industrial chain, sourcing strategy and downstream buyers
7. Marketing strategy analysis, distributors/traders
8. Market effect factors analysis
9. Global market forecast (2018-2023)
10. Conclusion of the global content recommendation engine market
11. Appendix
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