Content Recommendation Engine expected to be valued at 4.95 Billion USD by 2022, at a CAGR of 33.7%, during 2017–2022

Content Recommendation Engine Market research study by Industry Vertical (E-commerce, Media, Entertainment & Gaming, Retail & Consumer Goods, Hospitality) | Global forecast

(EMAILWIRE.COM, June 18, 2018 ) According to a new market research report “"Content Recommendation Engine Market by Component (Solution, Service), Filtering Approach, Organization Size, Vertical (E-commerce, Media, Entertainment & Gaming, Retail & Consumer Goods, Hospitality), and Region - Global Forecast to 2022", The content recommendation engine market is expected to grow from USD 1.16 Billion in 2017 to USD 4.95 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 33.7% from 2017 to 2022. The market is primarily driven by the increasing focus on enhancing customer experience, need for analyzing large volumes of customer data, and rapid digitalization.

Browse 68 market data Tables and 35 Figures spread through 125 Pages and in-depth TOC on "Content Recommendation Engine Market"

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1 Introduction (Page No. - 13)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Years Considered for the Study
1.4 Currency
1.5 Stakeholders

2 Research Methodology (Page No. - 16)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.3 Research Assumptions
2.4 Limitations

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3 Executive Summary (Page No. - 22)

4 Premium Insights (Page No. - 26)
4.1 Attractive Opportunities in the Content Recommendation Engine Market
4.2 North America: Market By Component
4.3 Europe: Market By Organization Size
4.4 Asia Pacific: Market By Vertical
4.5 Market By Top Three Verticals & Top Three Regions

5 Market Dynamics and Industry Trends (Page No. - 29)
5.1 Market Dynamic
5.1.1 Introduction
5.1.2 Drivers
5.1.2.1 Increasing Focus on Enhancing Customer Experience
5.1.2.2 Rapid Digitalization
5.1.2.3 Increasing Need for Analyzing Large Volumes of Customer Data
5.1.3 Restraints
5.1.3.1 Protecting Sensitive Information of Customers
5.1.4 Opportunities
5.1.4.1 Growing Use of AI in Recommendation Engine to Offer Personalized Customer Experience
5.1.4.2 Increasing Demand for Personalization
5.1.5 Challenges
5.1.5.1 Issues Related to Technology and Infrastructural Compatibilities
5.1.5.2 Lack of Technical Expertise
5.2 Industry Trends
5.2.1 Introduction
5.2.2 Phases of Personalization
5.2.3 Filtering Approaches in Recommendation Engine
5.2.4 Case Studies
5.2.4.1 Case Study 1: Innogames Uses Outbrain Targeting Tools to Reach Audience and Ensure App Download Growth
5.2.4.2 Case Study 2: Huggies Effectively Engages Target Audience With the Help of Outbrain Content Discovery Platform

6 Content Recommendation Engine Market, By Component (Page No. - 38)
6.1 Introduction
6.2 Solution
6.3 Service

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North America is expected to lead the content recommendation engine market in 2017.

North America is estimated to lead the content recommendation engine market in 2017. The growth of the content recommendation engine market can be attributed to continuous technological innovation in the region. The presence of key companies, such as IBM, Amazon Web Services (AWS), Taboola, Outbrain, Revcontent, and Curata in the region is one of the key factors for the growth of the content recommendation engine market.

Some of the major content recommendation engine vendors include 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), and ThinkAnalytics (UK).

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