Content Recommendation Engine Market Analysis
The global content recommendation engine market is predicted to grow at a healthy CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis. A recommendation engine, simply put, is software which examines accessible, structured data for making recommendations for information that a website user is interested in, like a job posting, a video, a book, and others. The recommendation engines are extensively used in content-based websites, across social media platforms, and e-commerce.
Various factors are fuelling the content recommendation engine market share. As per the recent MRFR market estimates, such factors include the increasing focus to enhance customer experience, need to analyze large volumes of customer data, and rapid digitalization.
On the contrary, the impact of the COVID-19 pandemic, lack of technical expertise, issues related to infrastructural and technological compatibilities, and protecting sensitive information of customers may limit the global content recommendation engine market growth over the forecast period. Content Recommendation Engine Market Size, market growth rate, CAGR, future growth forecasts, annual sales, profitability, margin etc is given in the report.
Content Recommendation Engine Market Segmentation
The MRFR report throws light on an inclusive segmental analysis of the global content recommendation engine market based on component, organization size, filtering approach, and vertical.
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Based on the component:
Based on organization size:
- Small medium enterprises
- large enterprises
Based on filtering approach:
- Content-based filtering
- Collaborative filtering
- Hybrid filtering
Based on vertical:
- Media entertainment gaming
- IT telecommunication
- Retailer and consumer goods
- Education training
- Healthcare pharmaceuticals.
Content Recommendation Engine Market Regional Analysis
By region, the global content recommendation engine market covers the recent trends and growth opportunity across North America, Europe, the Asia Pacific (APAC), and Rest of the World (RoW). Of these, North America will dominate the market over the forecast period. The presence of several major players, advances in technology, focus of the major players to enhance the user experience on a website, advances in technology, and high emphasis on technology innovation are adding to the global content recommendation engine market growth in the region.
In Europe, the global content recommendation engine market is predicted to hold the second-largest share over the forecast period for the rising demand for analyzing a large amount of user data.
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In the APAC region, the global content recommendation engine market is predicted to have promising growth over the forecast period. Rapid digitalization, increase in shopping through e-commerce platforms, rise in over the top players, increase in the number of mobile users, and high investments made by different companies for deploying content recommendation engine are adding to the global content recommendation engine market growth in the region. Korea, Indonesia, Australia, India, Japan, and China have the utmost market share.
Content Recommendation Engine Market Key Players
- 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)
- ThinkAnalytics (UK)
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This report has covered:
- Market overview
- COVID 19 Analysis
- Market dynamics
- Cumulative growth analysis
- Value chain analysis
- Segment overview
- Regional analysis
- Competitive landscape
- Recent developments
Reasons for Buying This Report:
- It Provides A Forward-Looking Perspective on Different Factors Driving or Restraining Market Growth.
- It Provides Five-Year Forecast Assessed based on How the Market Is Predicted to Grow.
- It Helps in Understanding the Key Product Segments and Their Future.
- It Provides Pinpoint Analysis of Changing Competition Dynamics and Keeps You Ahead of Competitors.
- It Helps in Making Informed Business Decisions by Having Complete Insights of Market and By Making an In-Depth Analysis of Market Segments.
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