Uploaded on Nov 13, 2019
Global Content Recommendation Engine Market Research Report, by Component (Solution), Filtering Approach (Collaborative Filtering, Content-Based Filtering), Organization Size (Small & Medium Enterprises, Large Enterprises), Vertical by Regional Forecast till 2023
Content Recommendation Engine Market
Content Recommendation Engine Market Forecast 2023
C ontent R e commendation
E ngine Market
R eport-Forecast 2023
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Content Recommendation Engine Market Forecast 2023
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Content Recommendation Engine Market Forecast 2023
Summary
The global content recommendation engine market is predicted to have a phenomenal growth at a
notable CAGR over the forecast period (2018-2023), reveals the latest Market Research Future
(MRFR) report. A recommendation engine is a simple algorithm that aims to offer the most accurate
and relevant items to users by filtering valuable information from a pool of information. These
engines are common among content-based websites related to entertainment, education, mobile
apps, social media, and e-commerce. With mobile applications and other technological
advancements continuing to change how users select and use information, recommendation engines
are turning into a vital part of software products and applications.
Recommendation systems are widely used as they are based on actual behavior, always up-to-date,
great for discovery, and excellent tools for personalization.
Various factors are pushing the growth of the Content Recommendation Engine Market. These
factors, in accordance to the Market Research Future (MRFR) report, include rapid digitalization,
need to analyze huge volumes of customer data, increased focus on better customer experience,
development in infrastructure, increasing use of mobile phones, growing demand for
personalization, and an increase in online shopping.
On the contrary, lack of technical expertise, the need to protect sensitive information of customers,
and issues associated with technological and infrastructural compatibilities are factors that are likely
to hinder the content recommendation engine market growth over the forecast period.
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Content Recommendation Engine Market Forecast 2023
Key Players
Leading players profiled in the content recommendation engine market report include
ThinkAnalytics (UK), Taboola (US), Revcontent (US), Outbrain (US), Kibo Commerce (US), IBM (US),
Dynamic Yield (US), Cxense (Norway), Curata (US), Certona (US), Boomtrain (US), and Amazon Web
Services (US), among others.
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Content Recommendation Engine Market Forecast 2023
Segmentation:
The Market Research Future report offers a wide segmental analysis of the content recommendation
engine market based on organization size, component, filtering approach, and vertical.
Based on the component, the content recommendation engine market is segmented into service and
solution. Of these, the service segment will have the largest share in the market over the forecast
period.
Based on organization size, the content recommendation engine market is segmented into large
enterprises and small and medium enterprises. Of these, the small and medium enterprises segment
will dominate the market over the forecast period.
Based on the filtering approach, the content recommendation engine market is segmented into
hybrid filtering, content-based filtering, and collaborative filtering. Of these, the collaborative
filtering segment will lead the market over the forecast period.
Based on vertical, the content recommendation engine market is segmented into healthcare and
pharmaceuticals, education and training, BFSI, IT and telecommunications, retailer and consumer
goods, entertainment and gaming, media, e-commerce, and industrial. Of these, the e-commerce
segment will have the maximum share in the market over the forecast period. This is owing to the
explosion of digital data, an increase in the number of smartphone users, and increasing internet
penetration.
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Content Recommendation Engine Market Forecast 2023
Regional Analysis:
Based on the region, the content recommendation engine market report covers growth
opportunities and the latest trends across Europe, Asia Pacific, North America, and Rest of the World.
Of these, North America will remain the driving force in the market over the forecast period. This is
owing to the growing need to comprehend client preference and behavior and filter a chunk of
information related to business insights or a subject as per the requirement of the consumer.
The content recommendation engine market in the APAC region is predicted to grow at the fastest
pace over the forecast period. This is owing to the development in infrastructure and rapid
expansion of enterprises.
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