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Global and China Recommendation Engine Market Size, Status and Forecast 2020-2026

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1 Report Overview

  • 1.1 Study Scope
  • 1.2 Market Analysis by Type
    • 1.2.1 Global Recommendation Engine Market Size Growth Rate by Type: 2020 VS 2026
    • 1.2.2 Collaborative Filtering
    • 1.2.3 Content-based Filtering
    • 1.2.4 Hybrid Recommendation
  • 1.3 Market by Application
    • 1.3.1 Global Recommendation Engine Market Share by Application: 2020 VS 2026
    • 1.3.2 Manufacturing
    • 1.3.3 Healthcare
    • 1.3.4 BFSI
    • 1.3.5 Media and entertainment
    • 1.3.6 Transportation
    • 1.3.7 Others
  • 1.4 Study Objectives
  • 1.5 Years Considered

2 Global Growth Trends

  • 2.1 Global Recommendation Engine Market Perspective (2015-2026)
  • 2.2 Global Recommendation Engine Growth Trends by Regions
    • 2.2.1 Recommendation Engine Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 Recommendation Engine Historic Market Share by Regions (2015-2020)
    • 2.2.3 Recommendation Engine Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Market Restraints

3 Competition Landscape by Key Players

  • 3.1 Global Top Recommendation Engine Players by Market Size
    • 3.1.1 Global Top Recommendation Engine Players by Revenue (2015-2020)
    • 3.1.2 Global Recommendation Engine Revenue Market Share by Players (2015-2020)
  • 3.2 Global Recommendation Engine Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.3 Players Covered: Ranking by Recommendation Engine Revenue
  • 3.4 Global Recommendation Engine Market Concentration Ratio
    • 3.4.1 Global Recommendation Engine Market Concentration Ratio (CR5 and HHI)
    • 3.4.2 Global Top 10 and Top 5 Companies by Recommendation Engine Revenue in 2019
  • 3.5 Key Players Recommendation Engine Area Served
  • 3.6 Key Players Recommendation Engine Product Solution and Service
  • 3.7 Date of Enter into Recommendation Engine Market
  • 3.8 Mergers & Acquisitions, Expansion Plans

4 Recommendation Engine Breakdown Data by Type (2015-2026)

  • 4.1 Global Recommendation Engine Historic Market Size by Type (2015-2020)
  • 4.2 Global Recommendation Engine Forecasted Market Size by Type (2021-2026)

5 Recommendation Engine Breakdown Data by Application (2015-2026)

  • 5.1 Global Recommendation Engine Historic Market Size by Application (2015-2020)
  • 5.2 Global Recommendation Engine Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America Recommendation Engine Market Size (2015-2026)
  • 6.2 North America Recommendation Engine Market Size by Type (2015-2020)
  • 6.3 North America Recommendation Engine Market Size by Application (2015-2020)
  • 6.4 North America Recommendation Engine Market Size by Country (2015-2020)
    • 6.4.1 United States
    • 6.4.2 Canada

7 Europe

  • 7.1 Europe Recommendation Engine Market Size (2015-2026)
  • 7.2 Europe Recommendation Engine Market Size by Type (2015-2020)
  • 7.3 Europe Recommendation Engine Market Size by Application (2015-2020)
  • 7.4 Europe Recommendation Engine Market Size by Country (2015-2020)
    • 7.4.1 Germany
    • 7.4.2 France
    • 7.4.3 U.K.
    • 7.4.4 Italy
    • 7.4.5 Russia
    • 7.4.6 Nordic
    • 7.4.7 Rest of Europe

8 China

  • 8.1 China Recommendation Engine Market Size (2015-2026)
  • 8.2 China Recommendation Engine Market Size by Type (2015-2020)
  • 8.3 China Recommendation Engine Market Size by Application (2015-2020)
  • 8.4 China Recommendation Engine Market Size by Region (2015-2020)
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 South Korea
    • 8.4.4 Southeast Asia
    • 8.4.5 India
    • 8.4.6 Australia
    • 8.4.7 Rest of Asia-Pacific

9 Japan

  • 9.1 Japan Recommendation Engine Market Size (2015-2026)
  • 9.2 Japan Recommendation Engine Market Size by Type (2015-2020)
  • 9.3 Japan Recommendation Engine Market Size by Application (2015-2020)
  • 9.4 Japan Recommendation Engine Market Size by Country (2015-2020)
    • 9.4.1 Mexico
    • 9.4.2 Brazil

10 Southeast Asia

  • 10.1 Southeast Asia Recommendation Engine Market Size (2015-2026)
  • 10.2 Southeast Asia Recommendation Engine Market Size by Type (2015-2020)
  • 10.3 Southeast Asia Recommendation Engine Market Size by Application (2015-2020)
  • 10.4 Southeast Asia Recommendation Engine Market Size by Country (2015-2020)
    • 10.4.1 Turkey
    • 10.4.2 Saudi Arabia
    • 10.4.3 UAE
    • 10.4.4 Rest of Middle East & Africa

11 Key Players Profiles

  • 11.1 IBM
    • 11.1.1 IBM Company Details
    • 11.1.2 IBM Business Overview
    • 11.1.3 IBM Recommendation Engine Introduction
    • 11.1.4 IBM Revenue in Recommendation Engine Business (2015-2020))
    • 11.1.5 IBM Recent Development
  • 11.2 Google
    • 11.2.1 Google Company Details
    • 11.2.2 Google Business Overview
    • 11.2.3 Google Recommendation Engine Introduction
    • 11.2.4 Google Revenue in Recommendation Engine Business (2015-2020)
    • 11.2.5 Google Recent Development
  • 11.3 AWS
    • 11.3.1 AWS Company Details
    • 11.3.2 AWS Business Overview
    • 11.3.3 AWS Recommendation Engine Introduction
    • 11.3.4 AWS Revenue in Recommendation Engine Business (2015-2020)
    • 11.3.5 AWS Recent Development
  • 11.4 Microsoft
    • 11.4.1 Microsoft Company Details
    • 11.4.2 Microsoft Business Overview
    • 11.4.3 Microsoft Recommendation Engine Introduction
    • 11.4.4 Microsoft Revenue in Recommendation Engine Business (2015-2020)
    • 11.4.5 Microsoft Recent Development
  • 11.5 Salesforce
    • 11.5.1 Salesforce Company Details
    • 11.5.2 Salesforce Business Overview
    • 11.5.3 Salesforce Recommendation Engine Introduction
    • 11.5.4 Salesforce Revenue in Recommendation Engine Business (2015-2020)
    • 11.5.5 Salesforce Recent Development
  • 11.6 Sentient Technologies
    • 11.6.1 Sentient Technologies Company Details
    • 11.6.2 Sentient Technologies Business Overview
    • 11.6.3 Sentient Technologies Recommendation Engine Introduction
    • 11.6.4 Sentient Technologies Revenue in Recommendation Engine Business (2015-2020)
    • 11.6.5 Sentient Technologies Recent Development
  • 11.7 HPE
    • 11.7.1 HPE Company Details
    • 11.7.2 HPE Business Overview
    • 11.7.3 HPE Recommendation Engine Introduction
    • 11.7.4 HPE Revenue in Recommendation Engine Business (2015-2020)
    • 11.7.5 HPE Recent Development
  • 11.8 Oracle
    • 11.8.1 Oracle Company Details
    • 11.8.2 Oracle Business Overview
    • 11.8.3 Oracle Recommendation Engine Introduction
    • 11.8.4 Oracle Revenue in Recommendation Engine Business (2015-2020)
    • 11.8.5 Oracle Recent Development
  • 11.9 Intel
    • 11.9.1 Intel Company Details
    • 11.9.2 Intel Business Overview
    • 11.9.3 Intel Recommendation Engine Introduction
    • 11.9.4 Intel Revenue in Recommendation Engine Business (2015-2020)
    • 11.9.5 Intel Recent Development
  • 11.10 SAP
    • 11.10.1 SAP Company Details
    • 11.10.2 SAP Business Overview
    • 11.10.3 SAP Recommendation Engine Introduction
    • 11.10.4 SAP Revenue in Recommendation Engine Business (2015-2020)
    • 11.10.5 SAP Recent Development
  • 11.11 Fuzzy.AI
    • 10.11.1 Fuzzy.AI Company Details
    • 10.11.2 Fuzzy.AI Business Overview
    • 10.11.3 Fuzzy.AI Recommendation Engine Introduction
    • 10.11.4 Fuzzy.AI Revenue in Recommendation Engine Business (2015-2020)
    • 10.11.5 Fuzzy.AI Recent Development
  • 11.12 Infinite Analytics
    • 10.12.1 Infinite Analytics Company Details
    • 10.12.2 Infinite Analytics Business Overview
    • 10.12.3 Infinite Analytics Recommendation Engine Introduction
    • 10.12.4 Infinite Analytics Revenue in Recommendation Engine Business (2015-2020)
    • 10.12.5 Infinite Analytics Recent Development

12 Analyst's Viewpoints/Conclusions

    13 Appendix

    • 13.1 Research Methodology
      • 13.1.1 Methodology/Research Approach
      • 13.1.2 Data Source
    • 13.2 Disclaimer

    Global Recommendation Engine Scope and Market Size
    Recommendation Engine market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Recommendation Engine market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

    Market segment by Type, the product can be split into
    Collaborative Filtering
    Content-based Filtering
    Hybrid Recommendation

    Market segment by Application, split into
    Manufacturing
    Healthcare
    BFSI
    Media and entertainment
    Transportation
    Others

    Based on regional and country-level analysis, the Recommendation Engine market has been segmented as follows:
    North America
    United States
    Canada
    Europe
    Germany
    France
    U.K.
    Italy
    Russia
    Nordic
    Rest of Europe
    Asia-Pacific
    China
    Japan
    South Korea
    Southeast Asia
    India
    Australia
    Rest of Asia-Pacific
    Latin America
    Mexico
    Brazil
    Middle East & Africa
    Turkey
    Saudi Arabia
    UAE
    Rest of Middle East & Africa

    In the competitive analysis section of the report, leading as well as prominent players of the global Recommendation Engine market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
    The key players covered in this study
    IBM
    Google
    AWS
    Microsoft
    Salesforce
    Sentient Technologies
    HPE
    Oracle
    Intel
    SAP
    Fuzzy.AI
    Infinite Analytics

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