A content recommendation engine leverages cutting edge algorithms for studying a website user’s behavioral pattern in order to make recommendations. It is expected to witness rising commercial applications over the next couple of years. Market Research Future (MRFR) has recently offered an analysis which asserts that the global content recommendation engine market is set to expand at 30% CAGR during the evaluation period 2018 to 2023.

Market Segmentation:

Based on organization size, the content recommendation engine market has been bifurcated into small & medium enterprises and large enterprises.

By filtering approach, the global content recommendation engine market has been segmented into content-based filtering, collaborative filtering, and hybrid filtering.

On the basis of vertical, Global Content Recommendation Engine Market has been segmented into e-commerce, industrial, media entertainment & gaming, IT & telecommunication, retailer and consumer goods, education & training, BFSI, and healthcare & pharmaceuticals.

Competitive Dashboard:

Amazon Web Services (US), Certona (US), Curata (US), Boomtrain (US), Cxense (Norway), IBM (US), Dynamic Yield (US), Kibo Commerce (US), Revcontent (US), Taboola (US), Outbrain (US), and ThinkAnalytics (UK) are few of the major vendors operating in the global content recommendation engine market. These market participants are expected to invest in advanced technologies to strengthen their position in the global market place over the next couple of years.

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