Report Detail

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

  • RnM3466871
  • |
  • 01 December, 2020
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  • Global
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  • 99 Pages
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  • QYResearch
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  • Service & Software

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


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

    Summary:
    Get latest Market Research Reports on Recommendation Engine. Industry analysis & Market Report on Recommendation Engine is a syndicated market report, published as Global and China Recommendation Engine Market Size, Status and Forecast 2020-2026. It is complete Research Study and Industry Analysis of Recommendation Engine market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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