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세계의 컨텐츠 추천 엔진 시장 규모 조사 : 컴포넌트별, 필터링 어프로치별, 산업 분야별, 지역별

Global Content Recommendation Engine Market Size study, by Component, by Filtering Approach, by Vertical and Regional Forecasts 2019-2026

리서치사 Bizwit Research & Consulting LLP
발행일 2019년 05월 상품 코드 871566
페이지 정보 영문
가격
US $ 4,950 ₩ 5,974,000 Unprintable PDF (Single User License)
US $ 6,250 ₩ 7,543,000 Printable PDF (Enterprise License)


세계의 컨텐츠 추천 엔진 시장 규모 조사 : 컴포넌트별, 필터링 어프로치별, 산업 분야별, 지역별 Global Content Recommendation Engine Market Size study, by Component, by Filtering Approach, by Vertical and Regional Forecasts 2019-2026
발행일 : 2019년 05월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 컨텐츠 추천 엔진(Content Recommendation Engine) 시장을 조사했으며, 시장 개요, 컴포넌트·필터링 어프로치·산업 분야·지역별 시장 규모 추정과 예측, 시장 성장 촉진요인 및 저해요인 분석, 경쟁 상황, 주요 기업 개요 등의 정보를 제공합니다.

목차

제1장 주요 요약

  • 시장 현황
  • 주요 동향
  • 시장 추정과 예측 : 전체 및 부문별
    • 컴포넌트별
    • 필터링 어프로치별
    • 산업 분야별
    • 지역별
  • 조사 방법
  • 조사 가정

제2장 정의와 범위

  • 조사 목적
  • 시장 정의와 범위
  • 조사 대상 기간
  • 환율

제3장 시장 역학

  • See Saw 분석
    • 시장 성장 촉진요인
    • 시장 과제
    • 시장 기회

제4장 산업 분석

  • Porter's Five Forces 분석
    • 구매자의 협상력
    • 공급 기업의 협상력
    • 신규 참여업체의 위협
    • 대체품의 위협
    • 경쟁 기업간 경쟁 관계
  • PEST 분석
  • 주요 구입 기준
  • 규제 체계
  • 투자/도입 시나리오
  • 애널리스트의 제안과 결론

제5장 세계의 컨텐츠 추천 엔진 시장 : 컴포넌트별

  • 시장 현황
  • 시장 실적 - 잠재적인 모델
  • 시장 분석 : 컴포넌트별
    • 솔루션
    • 서비스

제6장 세계의 컨텐츠 추천 엔진 시장 : 필터링 어프로치별

  • 시장 현황
  • 시장 실적 - 잠재적인 모델
  • 시장 분석 : 필터링 어프로치별
    • 협조 필터링
    • 컨텐츠 기반 필터링
    • 하이브리드 필터링

제7장 세계의 컨텐츠 추천 엔진 시장 : 산업 분야별

  • 시장 현황
  • 시장 실적 - 잠재적인 모델
  • 시장 분석 : 산업 분야별
    • E-Commerce
    • 미디어, 엔터테인먼트 및 게임
    • 소매
    • 접객업
    • IT 및 통신
    • 은행, 금융 서비스 및 보험
    • 교육 및 트레이닝
    • 헬스케어 및 제약
    • 기타

제8장 세계의 컨텐츠 추천 엔진 시장 : 지역별

  • 시장 현황
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 기타 지역
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 기타
  • 라틴아메리카
    • 브라질
    • 멕시코
  • 기타 지역
    • 남미
    • 중동 및 아프리카

제9장 경쟁 상황

  • 기업의 시장 점유율
  • 상위 시장 전략
  • 기업 개요
    • IBM
    • Amazon Web Services
    • Revcontent
    • Taboola
    • Outbrain
    • Cxense
    • Dynamic Yield
    • Curata

제10장 조사 방법

  • 조사 방법
    • 데이터마이닝
    • 분석
    • 시장 예측
    • 검증
    • 출판
    • 조사 가정
KSM 19.07.05

List of Tables

  • TABLE 1. LIST OF SECONDARY SOURCES, USED IN THE STUDY OF CONTENT RECOMMENDATION ENGINE MARKET
  • TABLE 2. LIST OF PRIMARY SOURCES, USED IN THE STUDY OF CONTENT RECOMMENDATION ENGINE MARKET
  • TABLE 3. CONTENT RECOMMENDATION ENGINE MARKET, REPORT SCOPE
  • TABLE 4. YEARS CONSIDERED FOR THE STUDY
  • TABLE 5. EXCHANGE RATES CONSIDERED
  • TABLE 6. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY REGION 2016-2026 (USD BILLION)
  • TABLE 7. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY COMPONENT 2016-2026 (USD BILLION)
  • TABLE 8. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY FILTERING APPROACH 2016-2026 (USD BILLION)
  • TABLE 9. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY VERTICAL 2016-2026 (USD BILLION)
  • TABLE 10. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 11. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 12. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 13. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 14. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 15. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 16. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 17. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 18. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 19. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 20. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 21. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 22. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 23. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 24. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 25. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 26. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 27. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 28. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 29. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 30. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 31. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 32. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 33. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 34. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 35. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 36. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 37. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 38. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 39. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 40. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 41. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 42. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 43. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 44. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 45. CONTENT RECOMMENDATION ENGINE MARKET BY REGION, ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 46. U.S. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 47. U.S. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 48. U.S. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 49. U.S. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 50. U.S. CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 51. CANADA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 52. CANADA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 53. CANADA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 54. CANADA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 55. CANADA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 56. UK CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 57. UK CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 58. UK CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 59. UK CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 60. UK CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 61. GERMANY CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 62. GERMANY CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 63. GERMANY CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 64. GERMANY CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 65. GERMANY CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 66. ROE CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 67. ROE CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 68. ROE CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 69. ROE CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 70. ROE CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 71. CHINA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 72. CHINA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 73. CHINA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 74. CHINA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 75. CHINA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 76. INDIA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 77. INDIA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 78. INDIA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 79. INDIA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 80. INDIA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 81. JAPAN CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 82. JAPAN CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 83. JAPAN CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 84. JAPAN CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 85. JAPAN CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 86. ROAPAC CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 87. ROAPAC CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 88. ROAPAC CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 89. ROAPAC CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 90. ROAPAC CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 91. BRAZIL CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 92. BRAZIL CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 93. BRAZIL CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 94. BRAZIL CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 95. BRAZIL CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 96. MEXICO CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 97. MEXICO CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 98. MEXICO CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 99. MEXICO CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 100. MEXICO CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 101. ROLA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 102. ROLA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 103. ROLA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 104. ROLA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 105. ROLA CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 106. ROW CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS, 2016-2026 (USD BILLION)
  • TABLE 107. ROW CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 108. ROW CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 109. ROW CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)
  • TABLE 110. ROW CONTENT RECOMMENDATION ENGINE MARKET ESTIMATES & FORECASTS BY SEGMENT 2016-2026 (USD BILLION)

List of Figures

  • FIG 1. CONTENT RECOMMENDATION ENGINE MARKET, RESEARCH METHODOLOGY
  • FIG 2. CONTENT RECOMMENDATION ENGINE MARKET, MARKET ESTIMATION TECHNIQUES
  • FIG 3. GLOBAL MARKET SIZE ESTIMATES & FORECAST METHODS
  • FIG 4. CONTENT RECOMMENDATION ENGINE MARKET, KEY TRENDS 2017
  • FIG 5. CONTENT RECOMMENDATION ENGINE MARKET, GROWTH PROSPECTS 2018-2026
  • FIG 6. CONTENT RECOMMENDATION ENGINE MARKET, PORTERS 5 FORCE MODEL
  • FIG 7. CONTENT RECOMMENDATION ENGINE MARKET, PEST ANALYSIS
  • FIG 8. CONTENT RECOMMENDATION ENGINE MARKET, VALUE CHAIN ANALYSIS
  • FIG 9. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 10. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 11. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 12. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 13. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 14. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 15. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 16. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 17. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 18. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 19. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 20. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 21. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 22. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 23. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 24. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 25. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 26. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 27. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 28. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 29. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 30. CONTENT RECOMMENDATION ENGINE MARKET BY SEGMENT, 2016 & 2026 (USD BILLION)
  • FIG 31. CONTENT RECOMMENDATION ENGINE MARKET, REGIONAL SNAPSHOT 2016 & 2026
  • FIG 32. NORTH AMERICA CONTENT RECOMMENDATION ENGINE MARKET 2016 & 2026 (USD BILLION)
  • FIG 33. EUROPE CONTENT RECOMMENDATION ENGINE MARKET 2016 & 2026 (USD BILLION)
  • FIG 34. ASIA PACIFIC CONTENT RECOMMENDATION ENGINE MARKET 2016 & 2026 (USD BILLION)
  • FIG 35. LATIN AMERICA CONTENT RECOMMENDATION ENGINE MARKET 2016 & 2026 (USD BILLION)
  • FIG 36. CONTENT RECOMMENDATION ENGINE MARKET, COMPANY MARKET SHARE ANALYSIS (2017)

Global Content Recommendation Engine Market valued approximately USD 1.58 billion in 2018 is anticipated to grow with a CAGR of 33.72% over the forecasted period of 2019-2026. The content recommendation engine is a software that analyzes available data to make suggestions for something that a website user might be interested in, such as a book, a video or a job, among other possibilities. Content Recommendation Engine has enabled the corporate world to work smarter, faster as well as doing more with significantly less. Increasing focus on enhancing customer experience, rapid digitalization, and need for analyzing large volumes of customer data are factors driving the market across the globe. It is essential to understand that Content Recommendation Engine includes several minor technologies like deep learning, machine learning, robotics, etc.

The regional analysis of Global Content Recommendation Engine Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the fastest growing region across the world in terms of market share. Whereas, owing to the countries such as China, Japan, and India, Asia Pacific region is anticipated to be the dominating region over the forecast period 2019-2026.

The leading market players mainly include-

  • IBM
  • Amazon Web Services
  • Revcontent
  • Taboola
  • Outbrain
  • Cxense
  • Dynamic Yield
  • Curata

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

  • Solution
  • Service

By Filtering Approach:

  • Collaborative
  • Content-Based
  • Hybrid

By Vertical:

  • E-commerce
  • Media, Entertainment & Gaming
  • Retail
  • Hospitality
  • IT & Telecommunication
  • BFSI
  • Education & training
  • Healthcare & Pharmaceutical
  • Others

By Regions:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • Asia Pacific
  • China
  • India
  • Japan
  • Latin America
  • Brazil
  • Mexico
  • Rest of the World

Furthermore, years considered for the study are as follows:

  • Historical year - 2016, 2017
  • Base year - 2018
  • Forecast period - 2019 to 2026

Target Audience of the Global Content Recommendation Engine Market in Market Study:

  • Key Consulting Companies & Advisors
  • Large, medium-sized, and small enterprises
  • Venture capitalists
  • Value-Added Resellers (VARs)
  • Third-party knowledge providers
  • Investment bankers
  • Investors

TABLE OF CONTENTS

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Key Trends
  • 1.3. Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
    • 1.3.1. Content Recommendation Engine Market, by Component, 2016-2026 (USD Billion)
    • 1.3.2. Content Recommendation Engine Market, by Filtering Approach, 2016-2026 (USD Billion)
    • 1.3.3. Content Recommendation Engine Market, by Vertical, 2016-2026 (USD Billion)
    • 1.3.4. Content Recommendation Engine Market, by Region, 2016-2026 (USD Billion)
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global Content Recommendation Engine Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Industry Evolution
    • 2.2.2. Scope of the Study
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global Content Recommendation Engine Market Dynamics

  • 3.1. See Saw Analysis
    • 3.1.1. Market Drivers
    • 3.1.2. Market Challenges
    • 3.1.3. Market Opportunities

Chapter 4. Global Content Recommendation Engine Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Buyers
    • 4.1.2. Bargaining Power of Suppliers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
  • 4.2. PEST Analysis
    • 4.2.1. Political Scenario
    • 4.2.2. Economic Scenario
    • 4.2.3. Social Scenario
    • 4.2.4. Technological Scenario
  • 4.3. Key Buying Criteria
  • 4.4. Regulatory Framework
  • 4.5. Investment Vs Adoption Scenario
  • 4.6. Analyst Recommendation & Conclusion

Chapter 5. Global Content Recommendation Engine Market, by Component

  • 5.1. Market Snapshot
  • 5.2. Market Performance - Potential Model
  • 5.3. Content Recommendation Engine Market, Sub Segment Analysis
    • 5.3.1. Solution
      • 5.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 5.3.1.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 5.3.2. Service
      • 5.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 5.3.2.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 6. Global Content Recommendation Engine Market, by Filtering Approach

  • 6.1. Market Snapshot
  • 6.2. Market Performance - Potential Model
  • 6.3. Content Recommendation Engine Market, Sub Segment Analysis
    • 6.3.1. Collaborative
      • 6.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 6.3.1.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 6.3.2. Content-Based
      • 6.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 6.3.2.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 6.3.3. Hybrid
      • 6.3.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 6.3.3.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 7. Global Content Recommendation Engine Market, by Vertical

  • 7.1. Market Snapshot
  • 7.2. Market Performance - Potential Model
  • 7.3. Content Recommendation Engine Market, Sub Segment Analysis
    • 7.3.1. E-Commerce
      • 7.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.1.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.2. Media, Entertainment & Gaming
      • 7.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.2.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.3. Retail
      • 7.3.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.3.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.4. Hospitality
      • 7.3.4.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.4.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.5. IT & Telecommunication
      • 7.3.5.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.5.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.6. BFSI
      • 7.3.6.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.6.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.7. Education & Training
      • 7.3.7.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.7.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.8. Healthcare & Pharmaceutical
      • 7.3.8.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.8.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 7.3.9. Others
      • 7.3.9.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 7.3.9.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 8. Global Content Recommendation Engine Market, by Regional Analysis

  • 8.1. Content Recommendation Engine Market, Regional Market Snapshot (2016-2026)
  • 8.2. North America Content Recommendation Engine Market Snapshot
    • 8.2.1. U.S.
      • 8.2.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.2.1.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.2.1.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.2.1.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.2.2. Canada
      • 8.2.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.2.2.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.2.2.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.2.2.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
  • 8.3. Europe Content Recommendation Engine Market Snapshot
    • 8.3.1. U.K.
      • 8.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.1.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.1.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.1.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.3.2. Germany
      • 8.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.2.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.2.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.2.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.3.3. Rest of Europe
      • 8.3.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.3.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.3.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.3.3.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
  • 8.4. Asia Content Recommendation Engine Market Snapshot
    • 8.4.1. China
      • 8.4.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.1.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.1.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.1.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.4.2. India
      • 8.4.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.2.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.2.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.2.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.4.3. Japan
      • 8.4.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.3.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.3.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.3.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.4.4. Rest of Asia Pacific
      • 8.4.4.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.4.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.4.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.4.4.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
  • 8.5. Latin America Content Recommendation Engine Market Snapshot
    • 8.5.1. Brazil
      • 8.5.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.5.1.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.5.1.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.5.1.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.5.2. Mexico
      • 8.5.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.5.2.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.5.2.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.5.2.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
  • 8.6. Rest of The World
    • 8.6.1. South America
      • 8.6.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.6.1.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.6.1.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.6.1.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)
    • 8.6.2. Middle East and Africa
      • 8.6.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
      • 8.6.2.2. Component breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.6.2.3. Filtering Approach breakdown estimates & forecasts, 2016-2026 (USD Billion)
      • 8.6.2.4. Vertical breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 9. Competitive Intelligence

  • 9.1. Company Market Share (Subject to Data Availability)
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. IBM
      • 9.3.1.1. Overview
      • 9.3.1.2. Financial (Subject to Data Availability)
      • 9.3.1.3. Product Summary
      • 9.3.1.4. Recent Developments
    • 9.3.2. Amazon Web Services
    • 9.3.3. Revcontent
    • 9.3.4. Taboola
    • 9.3.5. Outbrain
    • 9.3.6. Cxense
    • 9.3.7. Dynamic Yield
    • 9.3.8. Curata

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
    • 10.1.6. Research Assumption
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