Press Release / Business / Content Recommendation Engine Market Research Report for 2018 set to Grow according To Forecasts

Content Recommendation Engine Market Research Report for 2018 set to Grow according To Forecasts

Market Highlights
The rise in the digitalization has increased the utilization of online shopping
With the rise in the digitalization, there has been an increase in online shopping via various e-commerce platforms in the Asia-Pacific region that has encouraged websites to utilize the content recommendation engines to provide enhanced user experience and expand their customer base. These recommendation engines enable the search to be user-friendly and show consumer with the products or information as per the previous search. Additionally, the increasing ownership of mobile phones is contributing to the growth of e-commerce and fueling the adoption of recommendation engines by e-commerce websites. Additionally, developments in the SME segment are expected to increase the adoption of content recommendation engine by enterprises, as these solutions enable ventures to attain benefits, of monitoring the number of users viewing the product, searching the services, and others.
Major players like Amazon Web Services, IBM, and others are already dominating the Content Recommendation Engine Market. These companies have introduced platforms that utilize the recommendation engines to provide information or product recommendation to the user. IBM has developed applications such as IBM MobileFirst for iOS ancillary sale, IBM MobileFirst for iOS dynamic buy which are user-friendly and provides recommendation as per the user’s history data.
Rapid digitalization in countries like India, China, UAE and others has lead to the growth of the market. Currently, each product is available on online platforms, which are expanding their reach in these countries. In India, e-commerce has rapidly grown with the increasing number of users. Online e-commerce platforms are utilizing content recommendation engines to provide relevant and similar information on products for the users as per their search.
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Segmentation.
By component, the market is segmented into solution and service.
By organization size, the market is segmented into small & medium enterprises and large enterprises.
By filtering approach, the market has been segmented into collaborative filtering, content-based filtering, and hybrid filtering.
By vertical, the market is segmented into industrial, e-commerce, media, entertainment & gaming, retailer and consumer goods, IT & telecommunication, BFSI, education & training and healthcare & pharmaceuticals.
Key players
The prominent players in the market of content recommendation market is 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).
Regional Analysis
The global market for content recommendation engine is estimated to grow at a significant rate during the forecast period from 2018 to 2023. The geographical analysis of content recommendation market is covered for North America, Europe, Asia-Pacific, and the rest of the world. Asia-Pacific is considered to be the fastest growing region in the global content recommendation engine market during the forecast period. In addition, a few factors that tend to drive the market are the rapid expansion of enterprises, development in infrastructure, and development to analyze consumer information, which has driven the content recommendation engine across different end-use applications. North America is expected to be the dominating region for content recommendation engine market during the forecast period. The significant driving factor for the market is the increasing need to comprehend the client behaviour and preference and, filter a large amount of information related to a subject or business insights as per the consumer requirement. 
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Table of Contents
1 Executive Summary
2 Scope of The Report
2.1 Market Definition
2.2 Scope of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
Continued...
List of Tables
Table 1 Global Content Recommendation Engine Market, By Region, 2018–2023
Table 2 North America: Content Recommendation Engine Market, By Country, 2018–2023
Table 3 Europe: Content Recommendation Engine Market, By Country, 2018–2023
Table 4 Asia-Pacific: Content Recommendation Engine Market, By Country, 2018–2023
Table 5 Middle East & Africa: Content Recommendation Engine Market, By Country, 2018–2023
Table 6 Latin America: Content Recommendation Engine Market, By Country, 2018–2023
Continued...
List of Figures
Figure 1 Global Content Recommendation Engine Market Segmentation
Figure 2 Forecast Methodology
Figure 3 Porter’s Five Forces Analysis of Global Content Recommendation Engine Market
Figure 4 Value Chain of Global Content Recommendation Engine Market
Figure 5 Share of Global Content Recommendation Engine Market In 2017, By Country (In %)
Figure 6 Global Content Recommendation Engine Market, 2018–2023
Continued...
 Intended Audience

Providers of content recommendation engine services
Suppliers of IT hardware/software/services
Software and system integrators
IT infrastructure providers
Marketing analytics executives
System administrators
App developers
Third-party service providers
Technology providers

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