Recommendation Engine Market Size, Share, Trends & Analysis By Type, Regional Outlook, Industry Insights, Key Players and Applications Report 2022-2028

Report Summary

Eternity Insights has published a new study on Global Recommendation Engine Market focusing on key segments as by Type (Collaborative Filtering, Content-based Filtering, Hybrid Recommendation, Other), by Application (Personalized Campaigns and Customer Delivery, Strategy Operations and Planning, Product Planning and Proactive Asset Management, Other), and by region. This deep dive re-search report highlights the market and competitive intelligence across the key segments of the mar-ket. The report also considers the impact of COVID-19 on the global Recommendation Engine Market.

The report considers 2018-2020 as historic period, 2021 as base year, and 2022-2028 as forecast period. The report includes quantitative analysis of the market supported by the market drivers, challenges, and trends to accurately map the market scenario and competition. Moreover, key insights related to market having direct impact on the market will also be covered.

Recommendation Engine Market report is based on robust research methodology designed using blend of research ap-proaches developed using secondary/desk research and validated through the primary research and expert insights. Eternity Insights also uses paid data bases such as FACIVA, Hoovers, and other bench-marking and forecasting tools to provide accurate statistical analysis of supply and demand trends.

Global Recommendation Engine Market Size, 2018-2028 (USD Million)

Global Recommendation Engine Market Segmentation:

Recommendation Engine Market, By Type

• Collaborative Filtering
• Content-based Filtering
• Hybrid Recommendation
• Other

Recommendation Engine Market, By Application

• Personalized Campaigns and Customer Delivery
• Strategy Operations and Planning
• Product Planning and Proactive Asset Management
• Other

Geographically, the market is categorized in to five regions as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America region dominates the global Recommendation Engine market in terms of demand generation. The Recommendation Engine market in Asia Pacific region is expected to grow at significantly high growth rate. The regional market is further sub-segmented and analyzed at granular level across key countries. The report will include market size and forecast for Recommendation Engine market for below listed coun-tries across each region.

North America (U.S. and Canada), Europe (Germany, France, Italy, UK, Spain, and Rest of Europe), Asia Pacific (China, India, Japan, Australia, and Rest of Asia Pacific region); Latin America (Brazil, Mexico, and rest of the Latin America); Middle East and Africa (GCC, South Africa, and Rest of the Middle East and Africa).

Global Recommendation Engine Market Taxonomy:

Global Recommendation Engine Market Competitive Landscape

The global Recommendation Engine market analysis report covers detailed analysis of competitive scenario across globe. The report includes profiles of leading players covering below details

• Company Overview
• Financial Analysis
• Product Portfolio Analysis
• Strategic Overview
• SWOT Analysis

List of Companies Profiled in the report:

• Adobe
• Amazon Web Services
• Inc.
• Google LLC
• Hewlett Packard Enterprise Development LP
• International Business Machines Corporation
• Intel Corporation
• Microsoft Corporation
• Oracle
• Salesforce.com
• Inc.
• SAP SE
• Other Players of Specific Interest can be added based on requirement

Market Segmentation

Key Benefits to the stake holders

• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) and volume (Tons) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come

Table Of Contents

Table of Contents

1 Industry Overview of Recommendation Engine
    1.1  Recommendation Engine Market Overview
        1.1.1 Recommendation Engine Product Scope
        1.1.2 Market Status and Outlook
    1.2 Global Recommendation Engine Market Size and Analysis by Regions
        1.2.1 North America
        1.2.2 Europe
        1.2.3 China
        1.2.4 Rest of Asia Pacific
        1.2.5 Central & South America
        1.2.6 Middle East & Africa
    1.3 Recommendation Engine Market by Type
        1.3.1 Collaborative filtering
        1.3.2 Content-based filtering
        1.3.3 Hybrid recommendation
    1.4 Recommendation Engine Market by End Users/Application
        1.4.1 Manufacturing
        1.4.2 Healthcare
        1.4.3 BFSI
        1.4.4 Media and entertainment
        1.4.5 Transportation
        1.4.6 Others

2 Global Recommendation Engine Competition Analysis by Players
    2.1 Recommendation Engine Market Size (Value) by Players (2017 and 2020)
    2.2 Competitive Status and Trend
        2.2.1 Market Concentration Rate
        2.2.2 Product/Service Differences
        2.2.3 New Entrants
        2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles
    3.1 IBM
        3.1.1 Company Profile
        3.1.2 Main Business/Business Overview
        3.1.3 Products, Services and Solutions
        3.1.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.1.5 Recent Developments
    3.2 Google
        3.2.1 Company Profile
        3.2.2 Main Business/Business Overview
        3.2.3 Products, Services and Solutions
        3.2.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.2.5 Recent Developments
    3.3 AWS
        3.3.1 Company Profile
        3.3.2 Main Business/Business Overview
        3.3.3 Products, Services and Solutions
        3.3.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.3.5 Recent Developments
    3.4 Microsoft
        3.4.1 Company Profile
        3.4.2 Main Business/Business Overview
        3.4.3 Products, Services and Solutions
        3.4.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.4.5 Recent Developments
    3.5 Salesforce
        3.5.1 Company Profile
        3.5.2 Main Business/Business Overview
        3.5.3 Products, Services and Solutions
        3.5.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.5.5 Recent Developments
    3.6 Sentient Technologies
        3.6.1 Company Profile
        3.6.2 Main Business/Business Overview
        3.6.3 Products, Services and Solutions
        3.6.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.6.5 Recent Developments
    3.7 HPE
        3.7.1 Company Profile
        3.7.2 Main Business/Business Overview
        3.7.3 Products, Services and Solutions
        3.7.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.7.5 Recent Developments
    3.8 Oracle
        3.8.1 Company Profile
        3.8.2 Main Business/Business Overview
        3.8.3 Products, Services and Solutions
        3.8.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.8.5 Recent Developments
    3.9 Intel
        3.9.1 Company Profile
        3.9.2 Main Business/Business Overview
        3.9.3 Products, Services and Solutions
        3.9.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.9.5 Recent Developments
    3.10 SAP
        3.10.1 Company Profile
        3.10.2 Main Business/Business Overview
        3.10.3 Products, Services and Solutions
        3.10.4 Recommendation Engine Revenue (Value) (2017-2020)
        3.10.5 Recent Developments

4 Global Recommendation Engine Market Size by Type and Application (2017-2020)
    4.1 Global Recommendation Engine Market Size by Type (2017-2020)
    4.2 Global Recommendation Engine Market Size by Application (2017-2020)
    4.3 Potential Application of Recommendation Engine in Future
    4.4 Top Consumer/End Users of Recommendation Engine

5 North America Recommendation Engine Development Status and Outlook
    5.1 North America Recommendation Engine Market Size (2017-2020)
    5.2 North America Recommendation Engine Market Size and Market Share by Players (2017 and 2020)

6 Europe Recommendation Engine Development Status and Outlook
    6.1 Europe Recommendation Engine Market Size (2017-2020)
    6.2 Europe Recommendation Engine Market Size and Market Share by Players (2017 and 2020)

7 China Recommendation Engine Development Status and Outlook
    7.1 China Recommendation Engine Market Size (2017-2020)
    7.2 China Recommendation Engine Market Size and Market Share by Players (2017 and 2020)

8 Rest of Asia Pacific Recommendation Engine Development Status and Outlook
    8.1 Rest of Asia Pacific Recommendation Engine Market Size (2017-2020)
    8.2 Rest of Asia Pacific Recommendation Engine Market Size and Market Share by Players (2017 and 2020)

9 Central & South America Recommendation Engine Development Status and Outlook
    9.1 Central & South America Recommendation Engine Market Size (2017-2020)
    9.2 Central & South America Recommendation Engine Market Size and Market Share by Players (2017 and 2020)

10 Middle East & Africa Recommendation Engine Development Status and Outlook
    10.1 Middle East & Africa Recommendation Engine Market Size (2017-2020)
    10.2 Middle East & Africa Recommendation Engine Market Size and Market Share by Players (2017 and 2020)

11 Market Forecast by Regions, Type and Application (2021-2028)
    11.1 Global Recommendation Engine Market Size (Value) by Regions (2021-2028)
        11.1.1 North America Recommendation Engine Revenue and Growth Rate (2021-2028)
        11.1.2 Europe Recommendation Engine Revenue and Growth Rate (2021-2028)
        11.1.3 China Recommendation Engine Revenue and Growth Rate (2021-2028)
        11.1.4 Rest of Asia Pacific Recommendation Engine Revenue and Growth Rate (2021-2028)
        11.1.5 Central & South America Recommendation Engine Revenue and Growth Rate (2021-2028)
        11.1.6 Middle East & Africa Recommendation Engine Revenue and Growth Rate (2021-2028)
    11.2 Global Recommendation Engine Market Size (Value) by Type (2021-2028)
    11.3 Global Recommendation Engine Market Size by Application (2021-2028)

12 Recommendation Engine Market Dynamics
    12.1 Recommendation Engine Market Opportunities
    12.2 Recommendation Engine Challenge and Risk
        12.2.1 Competition from Opponents
        12.2.2 Downside Risks of Economy
    12.3 Recommendation Engine Market Constraints and Threat
        12.3.1 Threat from Substitute
        12.3.2 Government Policy
        12.3.3 Technology Risks
    12.4 Recommendation Engine Market Driving Force
        12.4.1 Growing Demand from Emerging Markets
        12.4.2 Potential Application

13 Market Effect Factors Analysis
    13.1 Technology Progress/Risk
        13.1.1 Substitutes
        13.1.2 Technology Progress in Related Industry
    13.2 Consumer Needs Trend/Customer Preference
    13.3 External Environmental Change
        13.3.1 Economic Fluctuations
        13.3.2 Other Risk Factors

14 Research Finding/Conclusion

15 Appendix
    Methodology
    Analyst Introduction
    Data Source