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Content Recommendation Engine Market Overview:The global report on the Content Recommendation Engine Market predicts a 30% CAGR during the forecast period of 2018 to 2023, where the market valuation would touch a mark of around USD 6 billion.
Among others, rising competition in the market, demand from major companies who wish to bolster their online presence, rapidly developing e-commerce sites, and demand for search engine optimization are expected to provide substantial support to the market.Content Recommendation Engine Market Key Players:Certona (US), Amazon Web Services (US), Boomtrain (US), Dynamic Yield (US), Curata (US), Cxense (Norway), Outbrain (US), IBM (US), Kibo Commerce (US), Taboola (US), Revcontent (US), and ThinkAnalytics (UK) are some prominent names involved in furthering prospects of the market.
These companies mainly focus on improving their market stand using measures like a merger, acquisition, innovation, launching of product, research, and others.
The large enterprises are investing much to support their business deals, which is bolstering the content recommendation engine market growth.By filtering approach, the report on the content recommendation engine market includes content-based filtering, collaborative filtering, and hybrid filtering.By vertical, the understanding of the content recommendation engine market includes e-commerce, media, industrial, education training, retailer and consumer goods, entertainment gaming, BFSI, IT telecommunication, and healthcare pharmaceuticals.Content Recommendation Engine Market Regional Analysis:Major players are from North America, which would go in favor of the North American market and help it retain its market presence during the forecast period.
A growing need to analyze user data is expected to take the European market forward.Get Complete Report Details at: https://www.marketresearchfuture.com/reports/content-recommendation-engine-market-6292Industry News:Recently, Bolo Indya, a Gurugram-based user-generated content platform, announced its success in raising $300,000 Pre-Series A1 round of funding that was getting helmed by India Accelerator, Eagle10 Ventures, and HNIs.
The company is planning to invest the fund in enhancing the development of language evangelists, personalization and recommendation engine and improve the team to expand the portfolio and quicken the pace of product development.In April 2020, CNN announced the acquisition of Canopy, an all-purpose content personalization structure that relies on on-device machine learning, human curation, and differential privacy to assist its readers discover things they prefer all the while putting a lid on their private information.
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