Market Research Future (MRFR), in its recently published research report, asserts that the global content recommendation engine market 2022. Content Recommendation Engine Market is expected to reach a projected market size of US$ 27.8 billion, with a CAGR of 28.5% from 2021. to 2030. The  Content Recommendation Engine Market  research report  provides important market credentials such as history, various extensions and trends, trade overview, regional markets, trade and market competitors.

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Content Recommendation Engine Market Segment

Based on the components :

  • Solution

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
  • BFSI
  • Healthcare pharmaceuticals

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Content Recommendation Engine Market  Regional Analysis

The geographical overview of the global market has been analyzed in four major regions, including the Asia Pacific, North America, Europe, and the rest of the world.

Because of the involvement of major players and technical advancements North America is expected to dominate the content recommendation engine market. The key factor driving this region's content recommendation engine market is the focus of the major players on improving the user experience on a website. The European market is being fueled by growing demand for processing a vast volume of user data. Throughout the forecast era, Asia-Pacific is expected to be the fastest growing region on the content recommendation market, as rapid digitalization occurs in the region. In the same way, shopping in the area has increased across e-commerce platforms, that is contributing to the market growth.

Content Recommendation Engine Market Drivers

  • The rise in digitisation has increased the use of online shopping. With the rise in digitalization, there has been an increase in online shopping in the Asia-Pacific region through various e-commerce platforms, which has encouraged websites to use the content recommendation engines to provide enhanced user experience and expand their client base. 
  • Increasing focus on improving customer experience is a key factor expected to drive the demand for engine content recommendation. 
  • Mobile phone ownership is rapidly leading to e-commerce growth and driving e-commerce websites implementing recommendation engines. 

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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Key Points Covered in the Report:

  • The Content Recommendation Engine research assesses the industry's share in terms of demand and supply, as well as volume.
  • The study mentions the market share acquired by each product category in terms of consumption value and volume.
  • The report meticulously discusses financial records of cumulative sales and overall income gathered by each product category.
  • The study includes information on the major organizations' sales, product pricing methods, revenue shares, and gross margins.
  • The operational base of the listed enterprises throughout many locations, as well as their distribution methods, is considered.
  • There is also information on the market concentration ratio, partnerships, alliances, acquisitions, new rivals, and other significant changes. 

Major Points from TOC:

  • Global Content Recommendation Engine Market Overview
  • Executive Summary
  • Production and Capacity by Region
  • Production, Revenue, Price Trend by Type
  • Key Players Analysis


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