Content Recommendation Engine Service Market - Size, Share Analysis, Growth, Trends and Forecast to 2023
Market Synopsis:
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.
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.
Market Segmentation:
On the basis of component, the global content recommendation engine market has been divided into solution and service.
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, the 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.
Regional Analysis
Based on the region, Content Recommendation Engine Service 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.
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.
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients.
Contact:
+1 646 845 9312
Email: sales@marketresearchfuture.com
Blog: http://mrfrblog.com/
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.
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.
Market Segmentation:
On the basis of component, the global content recommendation engine market has been divided into solution and service.
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, the 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.
Regional Analysis
Based on the region, Content Recommendation Engine Service 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.
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.
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients.
Contact:
+1 646 845 9312
Email: sales@marketresearchfuture.com
Blog: http://mrfrblog.com/
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