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Market Research Report
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618276

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

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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
Published: March 21, 2018
MarketsandMarkets
Content info: 129 Pages
Delivery time: 1-2 business days
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  • Description
  • Table of Contents
Description

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

The content recommendation engine market is projected 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% during the forecast period. Factors, such as 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 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 system due to various benefits, such as enhanced customer satisfaction through the 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 smartphones 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 solution 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:

  • 1. Amazon Web Services (US)
  • 2. Boomtrain (US)
  • 3. Certona (US)
  • 4. Curata (US)
  • 5. Cxense (Norway)
  • 6. Dynamic Yield (US)
  • 7. IBM (US)
  • 8. Kibo Commerce (US)
  • 9. Outbrain (US)
  • 10. Revcontent (US)
  • 11. Taboola (US)
  • 12. 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.
Table of Contents
Product Code: TC 6113

TABLE OF CONTENTS

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 CONTENT RECOMMENDATION ENGINE MARKET, BY COMPONENT
  • 4.3 EUROPE CONTENT RECOMMENDATION ENGINE MARKET, BY ORGANIZATION SIZE
  • 4.4 ASIA PACIFIC CONTENT RECOMMENDATION ENGINE MARKET, BY VERTICAL
  • 4.5 CONTENT RECOMMENDATION ENGINE 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

(Business Overview, Products, Solutions, & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 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

Details on Business Overview, Products, Solutions, & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

  • 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: MARKETSANDMARKETS' 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 3: SERVICE: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 6: LARGE ENTERPRISES: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 9: MEDIA, ENTERTAINMENT, AND GAMING: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 10: RETAIL & CONSUMER GOODS: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 11: HOSPITALITY: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 12: IT & TELECOMMUNICATION: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 13: BFSI: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 14: EDUCATION & TRAINING: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 15: HEALTHCARE & PHARMACEUTICAL: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 16: OTHERS: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 19: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 20: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 21: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR E-COMMERCE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 22: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR MEDIA, ENTERTAINMENT, AND GAMING, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 23: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR RETAIL & CONSUMER GOODS, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 24: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR HOSPITALITY, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 25: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR IT & TELECOMMUNICATION, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 26: NORTH AMERICA: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 29: EUROPE: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 30: EUROPE: CONTENT RECOMMENDATION ENGINE MARKET FOR E-COMMERCE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 31: EUROPE: CONTENT RECOMMENDATION ENGINE MARKET FOR MEDIA, ENTERTAINMENT, AND GAMING, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 32: EUROPE: CONTENT RECOMMENDATION ENGINE MARKET FOR RETAIL & CONSUMER GOODS, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 33: EUROPE: CONTENT RECOMMENDATION ENGINE MARKET FOR HOSPITALITY, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 34: EUROPE: CONTENT RECOMMENDATION ENGINE MARKET FOR IT & TELECOMMUNICATION, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 35: EUROPE: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 38: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 39: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE MARKET FOR E-COMMERCE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 40: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE MARKET FOR MEDIA, ENTERTAINMENT, AND GAMING, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 41: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE MARKET FOR RETAIL & CONSUMER GOODS, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 42: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE MARKET FOR HOSPITALITY, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 43: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE MARKET FOR IT & TELECOMMUNICATION, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 44: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 47: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 48: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE MARKET FOR E-COMMERCE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 49: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE MARKET FOR MEDIA, ENTERTAINMENT, AND GAMING, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 50: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE MARKET FOR RETAIL & CONSUMER GOODS, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 51: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE MARKET FOR HOSPITALITY, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 52: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE MARKET FOR IT & TELECOMMUNICATION, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 53: MIDDLE EAST & AFRICA: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 56: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 57: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR E-COMMERCE, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 58: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR MEDIA, ENTERTAINMENT, AND GAMING, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 59: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR RETAIL & CONSUMER GOODS, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 60: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR HOSPITALITY, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 61: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE MARKET FOR IT & TELECOMMUNICATION, BY COMPONENT, 2015-2022 (USD MILLION)
  • TABLE 62: LATIN AMERICA: CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET, BY COMPONENT, 2017 & 2022 (USD MILLION)
  • FIGURE 5: CONTENT RECOMMENDATION ENGINE MARKET, BY ORGANIZATION SIZE, 2017 & 2022 (USD MILLION)
  • FIGURE 6: CONTENT RECOMMENDATION ENGINE MARKET SHARE, BY VERTICAL, 2017 (%)
  • FIGURE 7: CONTENT RECOMMENDATION ENGINE 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 CONTENT RECOMMENDATION ENGINE 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 CONTENT RECOMMENDATION ENGINE 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 CONTENT RECOMMENDATION ENGINE MARKET IS PROJECTED TO GROW AT THE HIGHEST CAGR FROM 2017 TO 2022
  • FIGURE 13: NORTH AMERICA IS EXPECTED TO LEAD THE CONTENT RECOMMENDATION ENGINE 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 CONTENT RECOMMENDATION ENGINE MARKET IS PROJECTED TO GROW AT THE HIGHEST CAGR FROM 2017 TO 2022
  • FIGURE 20: NORTH AMERICA IS PROJECTED TO LEAD THE CONTENT RECOMMENDATION ENGINE 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: CONTENT RECOMMENDATION ENGINE MARKET SNAPSHOT
  • FIGURE 23: ASIA PACIFIC: CONTENT RECOMMENDATION ENGINE 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