Global Recommendation Search Engine Market

Recommendation Search Engine Comprehensive Study by Type (Collaborative Filtering, Content-Based Filtering, Hybrid Recommendation), Application (Personalized campaigns and customer discovery, Product planning, Strategy and operations planning, Proactive asset management, Other), Deployment Mode (Cloud, On-Premise), End User (Retail, BFSI, Healthcare, Media & Entertainment, Transportation, Other) Players and Region - Global Market Outlook to 2026

Recommendation Search Engine Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Recommendation Search Engine Market Scope
Recommendation Search Engines provide customized and Personalized recommendations based on user taste & preference. With the ever-increasing amount of information available on the internet, recommendation systems have proven to be an effective method for overcoming information overload. The importance of using recommendation systems cannot be overstated, given their ability to alleviate many over-choice issues. These systems use various Algorithms & Advance tools that provide accurate suggestions.

The Recommendation Search Engine market study is segmented by Type (Collaborative Filtering, Content-Based Filtering and Hybrid Recommendation), by Application (Personalized campaigns and customer discovery, Product planning, Strategy and operations planning, Proactive asset management and Other) and major geographies with country level break-up.

Recommendation Search Engine Market comprises of High Degree of competition, well established players have an Edge over the new Entrants in terms of customer base & Better serviceability & Maintenance for their products & understand the consumer requirements well. Players are concentrated Majority in North America, particularly in the United States. Currently, key players are in the industry are looking to enhance their existing range of products by Implementing advanced Technologies & at the same time deliver quality personalized Search Engines for changing consumer requirements & preferences across core areas including Ecommerce & Entertainment. Significant Mergers & Acquisitions have happened in recent years thus indicating the growth potential in the Recommendation Search Engine Market. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Recommendation Search Engine market throughout the predicted period.

Google (United States), Microsoft (United States), AWS (United States), IBM (United States), SAP (Germany), Salesforce (United States), HPE (United States), Yahoo (United States), Oracle (United States) and Intel (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Sentient Technologies (United States), Adobe (United States), Evergage (United States) and Dynamic Yield (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Segmentation Overview
AMA Research has segmented the market of Global Recommendation Search Engine market by Type, Application and Region.

On the basis of geography, the market of Recommendation Search Engine has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

Market Leaders and their expansionary development strategies
On 19th January 2021- Google Cloud Teased an Artificial intelligence (AI) Based Recommendation engine for Online Retailers. This will strengthen personalization in Online Shopping. and On 4th March 2021 – Taglr (A Shopping Search Engine) Launched “Galaktic” (An on-premise Search Engine) in India. This new Product is powered by Artificial Intelligence providing highly personalized search results to visitors
On 19th January, 2021- Google Cloud Teased an Artificial intelligence (AI) Based Recommendation engine for Online Retailers to strengthening personalization in Online Shopping. and On 4th March, 2021 – Taglr (A Shopping Search Engine) Launched “Galaktic” (An on-premise Search Engine) in India. This new Product is powered by Artificial Intelligence providing highly personalized search results to visitors.
European Union’s General Data Protection Regulation (GDPR) – Lay’s safety standards for usage & extraction of user Data across European Union. It also addresses the transfer of personal data outside the European Union (EU) and European Economic Area (EEA)., ICLG - Data Protection Laws and Regulations - USA covers issues including relevant legislation and competent authorities, territorial scope, key principles, individual rights, registration formalities, of Data Protection officer Across United States. and India - Information Technology (Reasonable Security Practices and Procedures and Sensitive Personal Data or Information) Rules, 2011 – This Regulation Deals with protection of "Sensitive personal data or information of a person", which includes such personal information which consists of information relating to Passwords, Biometric Information, etc.

Market Trend
  • Implementation of upcoming Technologies such as Block Chain & Artificial Intelligence (AI).
  • Digitization across Various segments Promoting Ecommerce

Market Drivers
  • Growing Integration with Machine Learning programs across the AI-based platforms

Opportunities
  • Most Emerging countries are yet to implement Advanced Systems such as Nerve Monitors, hence creating a Market opportunity

Restraints
  • Concerns Regarding Consumer Data Protection and Trust Issues Regarding Portals

Challenges
  • High Competition among Established Players


Key Target Audience
New Entrants & Investors, Research, Education & Training institutions, Software Service Providers, End-Use Industries, Suppliers, Dealers, and Distributers., Analysts and Strategic Business Planners, Venture Capitalists and Private Equity Firms and Government Bodies

Report Objectives / Segmentation Covered

By Type
  • Collaborative Filtering
  • Content-Based Filtering
  • Hybrid Recommendation
By Application
  • Personalized campaigns and customer discovery
  • Product planning
  • Strategy and operations planning
  • Proactive asset management
  • Other
By Deployment Mode
  • Cloud
  • On-Premise

By End User
  • Retail
  • BFSI
  • Healthcare
  • Media & Entertainment
  • Transportation
  • Other

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Integration with Machine Learning programs across the AI-based platforms
    • 3.3. Market Challenges
      • 3.3.1. High Competition among Established Players
    • 3.4. Market Trends
      • 3.4.1. Implementation of upcoming Technologies such as Block Chain & Artificial Intelligence (AI).
      • 3.4.2. Digitization across Various segments Promoting Ecommerce
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Recommendation Search Engine, by Type, Application, Deployment Mode, End User and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Recommendation Search Engine (Value)
      • 5.2.1. Global Recommendation Search Engine by: Type (Value)
        • 5.2.1.1. Collaborative Filtering
        • 5.2.1.2. Content-Based Filtering
        • 5.2.1.3. Hybrid Recommendation
      • 5.2.2. Global Recommendation Search Engine by: Application (Value)
        • 5.2.2.1. Personalized campaigns and customer discovery
        • 5.2.2.2. Product planning
        • 5.2.2.3. Strategy and operations planning
        • 5.2.2.4. Proactive asset management
        • 5.2.2.5. Other
      • 5.2.3. Global Recommendation Search Engine by: Deployment Mode (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-Premise
      • 5.2.4. Global Recommendation Search Engine by: End User (Value)
        • 5.2.4.1. Retail
        • 5.2.4.2. BFSI
        • 5.2.4.3. Healthcare
        • 5.2.4.4. Media & Entertainment
        • 5.2.4.5. Transportation
        • 5.2.4.6. Other
      • 5.2.5. Global Recommendation Search Engine Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Recommendation Search Engine: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Google (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. AWS (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. IBM (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. SAP (Germany)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Salesforce (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. HPE (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Yahoo (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Oracle (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Intel (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Recommendation Search Engine Sale, by Type, Application, Deployment Mode, End User and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Recommendation Search Engine (Value)
      • 7.2.1. Global Recommendation Search Engine by: Type (Value)
        • 7.2.1.1. Collaborative Filtering
        • 7.2.1.2. Content-Based Filtering
        • 7.2.1.3. Hybrid Recommendation
      • 7.2.2. Global Recommendation Search Engine by: Application (Value)
        • 7.2.2.1. Personalized campaigns and customer discovery
        • 7.2.2.2. Product planning
        • 7.2.2.3. Strategy and operations planning
        • 7.2.2.4. Proactive asset management
        • 7.2.2.5. Other
      • 7.2.3. Global Recommendation Search Engine by: Deployment Mode (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-Premise
      • 7.2.4. Global Recommendation Search Engine by: End User (Value)
        • 7.2.4.1. Retail
        • 7.2.4.2. BFSI
        • 7.2.4.3. Healthcare
        • 7.2.4.4. Media & Entertainment
        • 7.2.4.5. Transportation
        • 7.2.4.6. Other
      • 7.2.5. Global Recommendation Search Engine Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Recommendation Search Engine: by Type(USD Million)
  • Table 2. Recommendation Search Engine Collaborative Filtering , by Region USD Million (2015-2020)
  • Table 3. Recommendation Search Engine Content-Based Filtering , by Region USD Million (2015-2020)
  • Table 4. Recommendation Search Engine Hybrid Recommendation , by Region USD Million (2015-2020)
  • Table 5. Recommendation Search Engine: by Application(USD Million)
  • Table 6. Recommendation Search Engine Personalized campaigns and customer discovery , by Region USD Million (2015-2020)
  • Table 7. Recommendation Search Engine Product planning , by Region USD Million (2015-2020)
  • Table 8. Recommendation Search Engine Strategy and operations planning , by Region USD Million (2015-2020)
  • Table 9. Recommendation Search Engine Proactive asset management , by Region USD Million (2015-2020)
  • Table 10. Recommendation Search Engine Other , by Region USD Million (2015-2020)
  • Table 11. Recommendation Search Engine: by Deployment Mode(USD Million)
  • Table 12. Recommendation Search Engine Cloud , by Region USD Million (2015-2020)
  • Table 13. Recommendation Search Engine On-Premise , by Region USD Million (2015-2020)
  • Table 14. Recommendation Search Engine: by End User(USD Million)
  • Table 15. Recommendation Search Engine Retail , by Region USD Million (2015-2020)
  • Table 16. Recommendation Search Engine BFSI , by Region USD Million (2015-2020)
  • Table 17. Recommendation Search Engine Healthcare , by Region USD Million (2015-2020)
  • Table 18. Recommendation Search Engine Media & Entertainment , by Region USD Million (2015-2020)
  • Table 19. Recommendation Search Engine Transportation , by Region USD Million (2015-2020)
  • Table 20. Recommendation Search Engine Other , by Region USD Million (2015-2020)
  • Table 21. South America Recommendation Search Engine, by Country USD Million (2015-2020)
  • Table 22. South America Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 23. South America Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 24. South America Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 25. South America Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 26. Brazil Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 27. Brazil Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 28. Brazil Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 29. Brazil Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 30. Argentina Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 31. Argentina Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 32. Argentina Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 33. Argentina Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 34. Rest of South America Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 35. Rest of South America Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 36. Rest of South America Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 37. Rest of South America Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 38. Asia Pacific Recommendation Search Engine, by Country USD Million (2015-2020)
  • Table 39. Asia Pacific Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 40. Asia Pacific Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 41. Asia Pacific Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 42. Asia Pacific Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 43. China Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 44. China Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 45. China Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 46. China Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 47. Japan Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 48. Japan Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 49. Japan Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 50. Japan Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 51. India Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 52. India Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 53. India Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 54. India Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 55. South Korea Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 56. South Korea Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 57. South Korea Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 58. South Korea Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 59. Taiwan Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 60. Taiwan Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 61. Taiwan Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 62. Taiwan Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 63. Australia Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 64. Australia Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 65. Australia Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 66. Australia Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 67. Rest of Asia-Pacific Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 68. Rest of Asia-Pacific Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 69. Rest of Asia-Pacific Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 70. Rest of Asia-Pacific Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 71. Europe Recommendation Search Engine, by Country USD Million (2015-2020)
  • Table 72. Europe Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 73. Europe Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 74. Europe Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 75. Europe Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 76. Germany Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 77. Germany Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 78. Germany Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 79. Germany Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 80. France Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 81. France Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 82. France Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 83. France Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 84. Italy Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 85. Italy Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 86. Italy Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 87. Italy Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 88. United Kingdom Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 89. United Kingdom Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 90. United Kingdom Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 91. United Kingdom Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 92. Netherlands Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 93. Netherlands Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 94. Netherlands Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 95. Netherlands Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 96. Rest of Europe Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 97. Rest of Europe Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 98. Rest of Europe Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 99. Rest of Europe Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 100. MEA Recommendation Search Engine, by Country USD Million (2015-2020)
  • Table 101. MEA Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 102. MEA Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 103. MEA Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 104. MEA Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 105. Middle East Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 106. Middle East Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 107. Middle East Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 108. Middle East Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 109. Africa Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 110. Africa Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 111. Africa Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 112. Africa Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 113. North America Recommendation Search Engine, by Country USD Million (2015-2020)
  • Table 114. North America Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 115. North America Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 116. North America Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 117. North America Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 118. United States Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 119. United States Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 120. United States Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 121. United States Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 122. Canada Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 123. Canada Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 124. Canada Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 125. Canada Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 126. Mexico Recommendation Search Engine, by Type USD Million (2015-2020)
  • Table 127. Mexico Recommendation Search Engine, by Application USD Million (2015-2020)
  • Table 128. Mexico Recommendation Search Engine, by Deployment Mode USD Million (2015-2020)
  • Table 129. Mexico Recommendation Search Engine, by End User USD Million (2015-2020)
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Recommendation Search Engine: by Type(USD Million)
  • Table 141. Recommendation Search Engine Collaborative Filtering , by Region USD Million (2021-2026)
  • Table 142. Recommendation Search Engine Content-Based Filtering , by Region USD Million (2021-2026)
  • Table 143. Recommendation Search Engine Hybrid Recommendation , by Region USD Million (2021-2026)
  • Table 144. Recommendation Search Engine: by Application(USD Million)
  • Table 145. Recommendation Search Engine Personalized campaigns and customer discovery , by Region USD Million (2021-2026)
  • Table 146. Recommendation Search Engine Product planning , by Region USD Million (2021-2026)
  • Table 147. Recommendation Search Engine Strategy and operations planning , by Region USD Million (2021-2026)
  • Table 148. Recommendation Search Engine Proactive asset management , by Region USD Million (2021-2026)
  • Table 149. Recommendation Search Engine Other , by Region USD Million (2021-2026)
  • Table 150. Recommendation Search Engine: by Deployment Mode(USD Million)
  • Table 151. Recommendation Search Engine Cloud , by Region USD Million (2021-2026)
  • Table 152. Recommendation Search Engine On-Premise , by Region USD Million (2021-2026)
  • Table 153. Recommendation Search Engine: by End User(USD Million)
  • Table 154. Recommendation Search Engine Retail , by Region USD Million (2021-2026)
  • Table 155. Recommendation Search Engine BFSI , by Region USD Million (2021-2026)
  • Table 156. Recommendation Search Engine Healthcare , by Region USD Million (2021-2026)
  • Table 157. Recommendation Search Engine Media & Entertainment , by Region USD Million (2021-2026)
  • Table 158. Recommendation Search Engine Transportation , by Region USD Million (2021-2026)
  • Table 159. Recommendation Search Engine Other , by Region USD Million (2021-2026)
  • Table 160. South America Recommendation Search Engine, by Country USD Million (2021-2026)
  • Table 161. South America Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 162. South America Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 163. South America Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 164. South America Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 165. Brazil Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 166. Brazil Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 167. Brazil Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 168. Brazil Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 169. Argentina Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 170. Argentina Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 171. Argentina Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 172. Argentina Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 173. Rest of South America Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 174. Rest of South America Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 175. Rest of South America Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 176. Rest of South America Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 177. Asia Pacific Recommendation Search Engine, by Country USD Million (2021-2026)
  • Table 178. Asia Pacific Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 179. Asia Pacific Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 180. Asia Pacific Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 181. Asia Pacific Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 182. China Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 183. China Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 184. China Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 185. China Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 186. Japan Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 187. Japan Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 188. Japan Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 189. Japan Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 190. India Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 191. India Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 192. India Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 193. India Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 194. South Korea Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 195. South Korea Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 196. South Korea Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 197. South Korea Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 198. Taiwan Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 199. Taiwan Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 200. Taiwan Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 201. Taiwan Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 202. Australia Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 203. Australia Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 204. Australia Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 205. Australia Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 206. Rest of Asia-Pacific Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 207. Rest of Asia-Pacific Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 208. Rest of Asia-Pacific Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 209. Rest of Asia-Pacific Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 210. Europe Recommendation Search Engine, by Country USD Million (2021-2026)
  • Table 211. Europe Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 212. Europe Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 213. Europe Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 214. Europe Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 215. Germany Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 216. Germany Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 217. Germany Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 218. Germany Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 219. France Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 220. France Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 221. France Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 222. France Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 223. Italy Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 224. Italy Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 225. Italy Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 226. Italy Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 227. United Kingdom Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 228. United Kingdom Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 229. United Kingdom Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 230. United Kingdom Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 231. Netherlands Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 232. Netherlands Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 233. Netherlands Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 234. Netherlands Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 235. Rest of Europe Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 236. Rest of Europe Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 237. Rest of Europe Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 238. Rest of Europe Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 239. MEA Recommendation Search Engine, by Country USD Million (2021-2026)
  • Table 240. MEA Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 241. MEA Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 242. MEA Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 243. MEA Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 244. Middle East Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 245. Middle East Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 246. Middle East Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 247. Middle East Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 248. Africa Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 249. Africa Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 250. Africa Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 251. Africa Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 252. North America Recommendation Search Engine, by Country USD Million (2021-2026)
  • Table 253. North America Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 254. North America Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 255. North America Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 256. North America Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 257. United States Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 258. United States Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 259. United States Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 260. United States Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 261. Canada Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 262. Canada Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 263. Canada Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 264. Canada Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 265. Mexico Recommendation Search Engine, by Type USD Million (2021-2026)
  • Table 266. Mexico Recommendation Search Engine, by Application USD Million (2021-2026)
  • Table 267. Mexico Recommendation Search Engine, by Deployment Mode USD Million (2021-2026)
  • Table 268. Mexico Recommendation Search Engine, by End User USD Million (2021-2026)
  • Table 269. Research Programs/Design for This Report
  • Table 270. Key Data Information from Secondary Sources
  • Table 271. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Recommendation Search Engine: by Type USD Million (2015-2020)
  • Figure 5. Global Recommendation Search Engine: by Application USD Million (2015-2020)
  • Figure 6. Global Recommendation Search Engine: by Deployment Mode USD Million (2015-2020)
  • Figure 7. Global Recommendation Search Engine: by End User USD Million (2015-2020)
  • Figure 8. South America Recommendation Search Engine Share (%), by Country
  • Figure 9. Asia Pacific Recommendation Search Engine Share (%), by Country
  • Figure 10. Europe Recommendation Search Engine Share (%), by Country
  • Figure 11. MEA Recommendation Search Engine Share (%), by Country
  • Figure 12. North America Recommendation Search Engine Share (%), by Country
  • Figure 13. Global Recommendation Search Engine share by Players 2020 (%)
  • Figure 14. Global Recommendation Search Engine share by Players (Top 3) 2020(%)
  • Figure 15. Global Recommendation Search Engine share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Google (United States) Revenue, Net Income and Gross profit
  • Figure 18. Google (United States) Revenue: by Geography 2020
  • Figure 19. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 20. Microsoft (United States) Revenue: by Geography 2020
  • Figure 21. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 22. AWS (United States) Revenue: by Geography 2020
  • Figure 23. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 24. IBM (United States) Revenue: by Geography 2020
  • Figure 25. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 26. SAP (Germany) Revenue: by Geography 2020
  • Figure 27. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 28. Salesforce (United States) Revenue: by Geography 2020
  • Figure 29. HPE (United States) Revenue, Net Income and Gross profit
  • Figure 30. HPE (United States) Revenue: by Geography 2020
  • Figure 31. Yahoo (United States) Revenue, Net Income and Gross profit
  • Figure 32. Yahoo (United States) Revenue: by Geography 2020
  • Figure 33. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 34. Oracle (United States) Revenue: by Geography 2020
  • Figure 35. Intel (United States) Revenue, Net Income and Gross profit
  • Figure 36. Intel (United States) Revenue: by Geography 2020
  • Figure 37. Global Recommendation Search Engine: by Type USD Million (2021-2026)
  • Figure 38. Global Recommendation Search Engine: by Application USD Million (2021-2026)
  • Figure 39. Global Recommendation Search Engine: by Deployment Mode USD Million (2021-2026)
  • Figure 40. Global Recommendation Search Engine: by End User USD Million (2021-2026)
  • Figure 41. South America Recommendation Search Engine Share (%), by Country
  • Figure 42. Asia Pacific Recommendation Search Engine Share (%), by Country
  • Figure 43. Europe Recommendation Search Engine Share (%), by Country
  • Figure 44. MEA Recommendation Search Engine Share (%), by Country
  • Figure 45. North America Recommendation Search Engine Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Google (United States)
  • Microsoft (United States)
  • AWS (United States)
  • IBM (United States)
  • SAP (Germany)
  • Salesforce (United States)
  • HPE (United States)
  • Yahoo (United States)
  • Oracle (United States)
  • Intel (United States)
Additional players considered in the study are as follows:
Sentient Technologies (United States) , Adobe (United States) , Evergage (United States) , Dynamic Yield (United States)
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Mar 2021 204 Pages 82 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Recommendation Search Engine Market Quantitative research analysis
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