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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

  • ID: 4489144
  • Report
  • March 2018
  • Region: Global
  • 129 Pages
  • Markets and Markets
Content Recommendation Engine Market Projected to Grow from USD 1.16 Billion in 2017 to USD 4.95 Billion by 2022, at a CAGR of 33.7%

FEATURED COMPANIES

  • Amazon Web Services
  • Certona
  • Cxense
  • Huggies
  • Innogames
  • Newzmate

Increasing focus on enhancing customer experience and rapid digitalization are factors that are expected to drive the content recommendation engine market

Factors, such as an increased focus on enhancing customer experience, rapid digitalization, and need for analyzing large volumes of customer data are expected to drive the content recommendation engine market. Protecting sensitive information of customers is a key factor in restraining the growth of the market.

Based on component, the solution segment is estimated to lead the content recommendation engine market in 2017

Based on component, the solution segment is estimated to lead the content recommendation engine market in 2017, as enterprises use it as a targeted marketing tool in their email campaigns and on their websites to enhance the ROI through effective customer engagement. Enterprises are increasingly deploying content recommendation systems due to various benefits, such as enhanced customer satisfaction through personalized online shopping experience.

Based on vertical, the E-commerce segment is estimated to lead the content recommendation engine market in 2017

Based on vertical, the E-commerce segment is estimated to lead the content recommendation engine market in 2017. Increasing Internet penetration, the rise in the number of smartphone users, and the explosion of digital data have enabled organizations in E-commerce vertical to adopt content recommendation engine and enhance user experience.

The Asia Pacific content recommendation engine market is expected to grow at the highest CAGR during the forecast period

The content recommendation engine market has been studied for North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. The content recommendation engine is being adopted in the Asia Pacific region. Factors such as the rise of Over the Top (OTT) players and rapid digitization are expected to lead to the increasing deployment of content recommendation engine platforms in the Asia Pacific region. The demand for content recommendation engine solutions in small and medium enterprises in the Asia Pacific region is high.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the content recommendation engine marketplace.

  • By Company Type: Tier 1: 14%, Tier 2: 43%, and Tier 3: 43%
  • By Designation: C-Level: 37%, Director Level: 13%, and Others: 50%
  • By Region: North America: 37%, Europe: 25%, Asia Pacific: 25%, and Rest of the World: 13%

Key vendors profiled in the report are:

  • 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)

Research Coverage

The content recommendation engine market has been segmented on the basis of component, filtering approach, organization size, vertical, and region. Based on component, the content recommendation engine market has been segmented into solution and service. Based on filtering approach, the market has been segmented into collaborative filtering, content-based filtering, and hybrid filtering. The content recommendation engine market has been segmented based on organization size into large enterprises and small and medium enterprises. Based on vertical, the market has been segmented into E-commerce, media, entertainment & gaming, retail & consumer goods, hospitality, IT & telecommunication, BFSI, education & training, healthcare & pharmaceutical, and others (which includes manufacturing, automotive, and supply chain management). The content recommendation engine market has been studied for North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America.

Key Benefits of Buying the Report:

The report will help market leaders and new entrants in the content recommendation engine market in the following ways:

  • The report will help market leaders/new entrants in this market by providing them the closest approximations of revenues of the content recommendation engine market and its subsegments.
  • This report will also help stakeholders better understand the competitor landscape, gain more insights to position their businesses better, and implement suitable go-to-market strategies.
  • The report will help stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Amazon Web Services
  • Certona
  • Cxense
  • Huggies
  • Innogames
  • Newzmate

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology
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 Data Triangulation
2.3 Market Size Estimation
2.4 Research Assumptions
2.5 Limitations

3 Executive Summary

4 Premium Insights
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 3 Verticals and Top 3 Regions

5 Market Dynamics and Industry Trends
5.1 Market Dynamics
5.1.1 Drivers
5.1.1.1 Increasing Focus of Companies on Enhancing Customer Experience
5.1.1.2 Ongoing Digitalization Across the Globe
5.1.1.3 Increasing Requirement of Organizations to Analyze Large Volumes of Customer Data for Valuable Insights
5.1.2 Restraints
5.1.2.1 Protecting Sensitive Information of Customers
5.1.3 Opportunities
5.1.3.1 Growing Use of Artificial Intelligence in Content Recommendation Engines to Offer Personalized Customer Experience
5.1.3.2 Increasing Demand for Personalized Recommendations
5.1.4 Challenges
5.1.4.1 Issues Related to Technology and Infrastructural Compatibilities
5.1.4.2 Lack of Technical Expertise
5.2 Industry Trends
5.2.1 Introduction
5.2.2 Phases of Personalization of Information
5.2.3 Filtering Approaches in Content Recommendation Engines
5.2.4 Case Studies
5.2.4.1 Case Study 1: Innogames Uses Outbrain Targeting Tools to Reach the Audience and Ensure an Increase in App Downloads
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
6.1 Introduction
6.2 Solution
6.3 Service

7 Content Recommendation Engine Market By Filtering Approach
7.1 Introduction
7.2 Collaborative Filtering
7.3 Content-Based Filtering
7.4 Hybrid Filtering

8 Content Recommendation Engine Market By Organization Size
8.1 Introduction
8.2 Small and Medium Enterprises
8.3 Large Enterprises

9 Content Recommendation Engine Market By Vertical
9.1 Introduction
9.2 E-Commerce
9.3 Media, Entertainment, and Gaming
9.4 Retail & Consumer Goods
9.5 Hospitality
9.6 IT & Telecommunication
9.7 BFSI
9.8 Education & Training
9.9 Healthcare & Pharmaceutical
9.10 Others

10 Regional Analysis
10.1 Introduction
10.2 North America
10.3 Europe
10.4 Asia Pacific
10.5 Middle East & Africa
10.6 Latin America

11 Competitive Landscape
11.1 Overview
11.2 Competitive Situation and Trends
11.2.1 New Product Launches & Product Enhancements
11.2.2 Agreements, Collaborations, Partnerships, Contracts, and Alliances
11.2.3 Acquisitions
11.2.4 Expansions
11.3 Ranking of Key Players of the Content Recommendation Engine Market in 2017

12 Company Profiles
12.1 IBM
12.2 Amazon Web Services
12.3 Revcontent
12.4 Taboola
12.5 Outbrain
12.6 Cxense
12.7 Dynamic Yield
12.8 Curata
12.9 Boomtrain
12.10 Thinkanalytics
12.11 Kibo Commerce
12.12 Certona
12.13 Key Innovators
12.13.1 Recombee
12.13.2 Uberflip
12.13.3 Newzmate

13 Appendix
13.1 Industry Excerpts
13.2 Discussion Guide
13.3 Knowledge Store: Publisher's Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details

List of Tables

Table 1 Content Recommendation Engine Market Size, By Component, 2015–2022 (USD Million)
Table 2 Solution: Market Size By Region, 2015–2022 (USD Million)
Table 3 Service: Market Size By Region, 2015–2022 (USD Million)
Table 4 Content Recommendation Engine Market Size, By Organization Size, 2015–2022 (USD Million)
Table 5 Small and Medium Enterprises: Market Size By Region, 2015–2022 (USD Million)
Table 6 Large Enterprises: Market Size By Region, 2015–2022 (USD Million)
Table 7 Content Recommendation Engine Market Size, By Vertical, 2015–2022 (USD Million)
Table 8 E-Commerce: Market Size By Region, 2015–2022 (USD Million)
Table 9 Media, Entertainment, and Gaming: Market Size By Region, 2015–2022 (USD Million)
Table 10 Retail & Consumer Goods: Market Size By Region, 2015–2022 (USD Million)
Table 11 Hospitality: Market Size By Region, 2015–2022 (USD Million)
Table 12 IT & Telecommunication: Market Size By Region, 2015–2022 (USD Million)
Table 13 BFSI: Market Size By Region, 2015–2022 (USD Million)
Table 14 Education & Training: Market Size By Region, 2015–2022 (USD Million)
Table 15 Healthcare & Pharmaceutical: Market Size By Region, 2015–2022 (USD Million)
Table 16 Others: Market Size By Region, 2015–2022 (USD Million)
Table 17 Content Recommendation Engine Market Size, By Region, 2015–2022 (USD Million)
Table 18 North America: Market Size By Component, 2015–2022 (USD Million)
Table 19 North America: Market Size By Organization Size, 2015–2022 (USD Million)
Table 20 North America: Market Size By Vertical, 2015–2022 (USD Million)
Table 21 North America: Market for E-Commerce, By Component, 2015–2022 (USD Million)
Table 22 North America: Market for Media, Entertainment, and Gaming, By Component, 2015–2022 (USD Million)
Table 23 North America: Market for Retail & Consumer Goods, By Component, 2015–2022 (USD Million)
Table 24 North America: Market for Hospitality, By Component, 2015–2022 (USD Million)
Table 25 North America: Market for IT & Telecommunication, By Component, 2015–2022 (USD Million)
Table 26 North America: Market for BFSI, By Component, 2015–2022 (USD Million)
Table 27 Europe: Content Recommendation Engine Market Size, By Component, 2015–2022 (USD Million)
Table 28 Europe: Market Size By Organization Size, 2015–2022 (USD Million)
Table 29 Europe: Market Size By Vertical, 2015–2022 (USD Million)
Table 30 Europe: Market for E-Commerce, By Component, 2015–2022 (USD Million)
Table 31 Europe: Market for Media, Entertainment, and Gaming, By Component, 2015–2022 (USD Million)
Table 32 Europe: Market for Retail & Consumer Goods, By Component, 2015–2022 (USD Million)
Table 33 Europe: Market for Hospitality, By Component, 2015–2022 (USD Million)
Table 34 Europe: Market for IT & Telecommunication, By Component, 2015–2022 (USD Million)
Table 35 Europe: Market for BFSI, By Component, 2015–2022 (USD Million)
Table 36 Asia Pacific: Content Recommendation Engine Market Size, By Component, 2015–2022 (USD Million)
Table 37 Asia Pacific: Market Size By Organization Size, 2015–2022 (USD Million)
Table 38 Asia Pacific: Market Size By Vertical, 2015–2022 (USD Million)
Table 39 Asia Pacific: Market for E-Commerce, By Component, 2015–2022 (USD Million)
Table 40 Asia Pacific: Market for Media, Entertainment, and Gaming, By Component, 2015–2022 (USD Million)
Table 41 Asia Pacific: Market for Retail & Consumer Goods, By Component, 2015–2022 (USD Million)
Table 42 Asia Pacific: Market for Hospitality, By Component, 2015–2022 (USD Million)
Table 43 Asia Pacific: Market for IT & Telecommunication, By Component, 2015–2022 (USD Million)
Table 44 Asia Pacific: Market for BFSI, By Component, 2015–2022 (USD Million)
Table 45 Middle East & Africa: Content Recommendation Engine Market, By Component, 2015–2022 (USD Million)
Table 46 Middle East & Africa: Market Size By Organization Size, 2015–2022 (USD Million)
Table 47 Middle East & Africa: Market Size By Vertical, 2015–2022 (USD Million)
Table 48 Middle East & Africa: Market for E-Commerce, By Component, 2015–2022 (USD Million)
Table 49 Middle East & Africa: Market for Media, Entertainment, and Gaming, By Component, 2015–2022 (USD Million)
Table 50 Middle East & Africa: Market for Retail & Consumer Goods, By Component, 2015–2022 (USD Million)
Table 51 Middle East & Africa: Market for Hospitality, By Component, 2015–2022 (USD Million)
Table 52 Middle East & Africa: Market for IT & Telecommunication, By Component, 2015–2022 (USD Million)
Table 53 Middle East & Africa: Market for BFSI, By Component, 2015–2022 (USD Million)
Table 54 Latin America: Content Recommendation Engine Market Size, By Component, 2015–2022 (USD Million)
Table 55 Latin America: Market Size By Organization Size, 2015–2022 (USD Million)
Table 56 Latin America: Market Size By Vertical, 2015–2022 (USD Million)
Table 57 Latin America: Market for E-Commerce, By Component, 2015–2022 (USD Million)
Table 58 Latin America: Market for Media, Entertainment, and Gaming, By Component, 2015–2022 (USD Million)
Table 59 Latin America: Market for Retail & Consumer Goods, By Component, 2015–2022 (USD Million)
Table 60 Latin America: Market for Hospitality, By Component, 2015–2022 (USD Million)
Table 61 Latin America: Market for IT & Telecommunication, By Component, 2015–2022 (USD Million)
Table 62 Latin America: Market for BFSI, By Component, 2015–2022 (USD Million)
Table 63 Market Evaluation Framework
Table 64 New Product Launches & Product Enhancements, May 2017–January 2018
Table 65 Agreements, Collaborations, Partnerships, Contracts, and Alliances, July 2017–January 2018
Table 66 Acquisitions, June 2017–July 2017
Table 67 Expansions, May 2015–June 2018

List of Figures

Figure 1 Content Recommendation Engine Market: Research Design
Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
Figure 3 Market Size Estimation Methodology: Top-Down Approach
Figure 4 Market By Component, 2017 & 2022 (USD Million)
Figure 5 Market By Organization Size, 2017 & 2022 (USD Million)
Figure 6 Market Share, By Vertical, 2017 (%)
Figure 7 Market By Region, 2017 & 2022 (USD Million)
Figure 8 Asia Pacific Content Recommendation Engine Market is Projected to Grow at the Highest CAGR From 2017 to 2022
Figure 9 Increasing Focus of Companies on Enhancing Customer Experience is Driving the Growth of the Content Recommendation Engine Market
Figure 10 Service Segment of the North America Market is Projected to Grow at A Higher CAGR Than Solution Segment From 2017 to 2022
Figure 11 Small and Medium Enterprises Segment of the Europe Market is Projected to Grow at A Higher CAGR Than Large Enterprises Segment From 2017 to 2022
Figure 12 Retail & Consumer Goods Segment of the Asia Pacific Market is Projected to Grow at the Highest CAGR From 2017 to 2022
Figure 13 North America is Expected to Lead the Market in 2017
Figure 14 Content Recommendation Engine Market: Drivers, Restraints, Opportunities, and Challenges
Figure 15 Phases of Personalization of Information Carried Out By Content Recommendation Engines
Figure 16 Content Recommendation Engines: Filtering Approaches
Figure 17 Service Segment is Estimated to Grow at A Higher CAGR as Compared to Solution Segment From 2017 to 2022
Figure 18 Large Enterprises Segment is Expected to Lead the Content Recommendation Engine Market in 2017
Figure 19 Retail & Consumer Goods Segment of the Market is Projected to Grow at the Highest CAGR From 2017 to 2022
Figure 20 North America is Projected to Lead the Market in 2017
Figure 21 Content Recommendation Engine Markets in Asia Pacific and Latin America are Projected to Grow at High Rates From 2017 to 2022
Figure 22 North America Market Snapshot
Figure 23 Asia Pacific Market Snapshot
Figure 24 Companies Adopted Agreements, Collaborations, and Partnerships as Key Growth Strategies Between May 2015 and January 2018
Figure 25 Ranking of Key Players in the Content Recommendation Engine Market, 2017
Figure 26 IBM: Company Snapshot
Figure 27 IBM: SWOT Analysis
Figure 28 Amazon Web Services: Company Snapshot
Figure 29 Amazon Web Services: SWOT Analysis
Figure 30 Revcontent: SWOT Analysis
Figure 31 Taboola: SWOT Analysis
Figure 32 Outbrain: SWOT Analysis
Figure 33 Cxense: Company Snapshot

Note: Product cover images may vary from those shown

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  • Amazon Web Services
  • Boomtrain
  • Certona
  • Curata
  • Cxense
  • Dynamic Yield
  • Huggies
  • IBM
  • Innogames
  • Kibo Commerce
  • Newzmate
  • Outbrain
  • Recombee
  • Revcontent
  • Taboola
  • ThinkAnalytics
  • Uberflip
Note: Product cover images may vary from those shown
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