In this report, our team offers a comprehensive analysis of Recommendation Engine market, SWOT analysis of the most prominent players in this landscape. Along with an industrial chain, market statistics in terms of revenue, sales, price, capacity, regional market analysis, segment-wise data, and market forecast information are offered in the full study, etc.
This report focuses on top manufacturers in global market, Involved the assessment of Sales, price, revenue and market share for each manufacturer, covering
IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP
...
On the basis of product, this report displays the Sales, revenue, price, market share and growth rate of each type, primarily split into
Collaborative filtering
Content-based filtering
Hybrid recommendation
By Application, this report focuses on Sales, Market share and Growth Rate of each application, can be divided into
Personalized campaigns and customer discovery
Product planning
Strategy and operations planning
Proactive asset management
By Regions, this report splits global market into several key regions, with Sales, Revenue, Price and Gross Margin market share of top players in these regions, from 2014 to 2026 (forecast), like
China
USA
Europe
Japan
Korea
India
Southeast Asia
South America
If you have any special requirements, please let us know and we will offer you the report as you want.
Table of Contents
Global Recommendation Engine Market Professional Survey Report 2019
1 Report Overview
1.1 Definition and Specification
1.2 Manufacturers and Region Overview
1.2.1 Manufacturers Overview
1.2.2 Regions Overview
1.3 Type Overview
1.3.1 Collaborative filtering
1.3.2 Content-based filtering
1.3.3 Hybrid recommendation
1.4 Application Overview
1.4.1 Personalized campaigns and customer discovery
1.4.2 Product planning
1.4.3 Strategy and operations planning
1.4.4 Proactive asset management
1.5 Industrial Chain
1.5.1 Recommendation Engine Industrial Chain
1.5.2 Upstream
1.5.3 Downstream
2.1 The Overall Market Performance(Volume)
2.1.1 Collaborative filtering
2.1.2 Content-based filtering
2.1.3 Hybrid recommendation
2.2 The Overall Market Performance(Value)
2.2.1 Collaborative filtering
2.2.2 Content-based filtering
2.2.3 Hybrid recommendation
3 Global Recommendation Engine Market Assessment by Application
3.1 Overall Market Performance (Volume)
3.2 Personalized campaigns and customer discovery
3.3 Product planning
3.4 Strategy and operations planning
3.5 Proactive asset management
4 Competitive Analysis
4.1 IBM
4.1.1 IBM Profiles
4.1.2 IBM Product Information
4.1.3 IBM Recommendation Engine Business Performance
4.1.4 SWOT Analysis
4.2 Google
4.2.1 Google Profiles
4.2.2 Google Product Information
4.2.3 Google Recommendation Engine Business Performance
4.2.4 SWOT Analysis
4.3 AWS
4.3.1 AWS Profiles
4.3.2 AWS Product Information
4.3.3 AWS Recommendation Engine Business Performance
4.3.4 SWOT Analysis
4.4 Microsoft
4.4.1 Microsoft Profiles
4.4.2 Microsoft Product Information
4.4.3 Microsoft Recommendation Engine Business Performance
4.4.4 SWOT Analysis
4.5 Salesforce
4.5.1 Salesforce Profiles
4.5.2 Salesforce Product Information
4.5.3 Salesforce Recommendation Engine Business Performance
4.5.4 SWOT Analysis
4.6 Sentient Technologies
4.6.1 Sentient Technologies Profiles
4.6.2 Sentient Technologies Product Information
4.6.3 Sentient Technologies Recommendation Engine Business Performance
4.6.4 SWOT Analysis
4.7 HPE
4.7.1 HPE Profiles
4.7.2 HPE Product Information
4.7.3 HPE Recommendation Engine Business Performance
4.7.4 SWOT Analysis
4.8 Oracle
4.8.1 Oracle Profiles
4.8.2 Oracle Product Information
4.8.3 Oracle Recommendation Engine Business Performance
4.8.4 SWOT Analysis
4.9 Intel
4.9.1 Intel Profiles
4.9.2 Intel Product Information
4.9.3 Intel Recommendation Engine Business Performance
4.9.4 SWOT Analysis
4.10 SAP
4.10.1 SAP Profiles
4.10.2 SAP Product Information
4.10.3 SAP Recommendation Engine Business Performance
4.10.4 SWOT Analysis
5 Competitive Lanscape
5.1 Global Recommendation Engine Capacity (K Units) and Market Share of Manufacturers (2014-2020)
5.2 Global Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
5.3 Global Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
5.4 Global Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
5.5 Global Recommendation Engine Gross Margin of Manufacturers (2014-2020)
5.6 Market Concentration
6 Regional Market Analysis
6.1 China Market Performance for Manufacturers
6.1.1 China Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.1.2 China Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.1.3 China Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.1.4 China Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.1.5 Market Concentration
6.2 USA Market Performance for Manufacturers
6.2.1 USA Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.2.2 USA Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.2.3 USA Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.2.4 USA Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.2.5 Market Concentration
6.3 Europe Market Performance for Manufacturers
6.3.1 Europe Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.3.2 Europe Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.3.3 Europe Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.3.4 Europe Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.3.5 Market Concentration
6.4 Japan Market Performance for Manufacturers
6.4.1 Japan Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.4.2 Japan Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.4.3 Japan Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.4.4 Japan Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.4.5 Market Concentration
6.5 Korea Market Performance for Manufacturers
6.5.1 Korea Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.5.2 Korea Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.5.3 Korea Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.5.4 Korea Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.5.5 Market Concentration
6.6 India Market Performance for Manufacturers
6.6.1 India Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.6.2 India Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.6.3 India Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.6.4 India Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.6.5 Market Concentration
6.7 Southeast Asia Market Performance for Manufacturers
6.7.1 Southeast Asia Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.7.2 Southeast Asia Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.7.3 Southeast Asia Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.7.4 Southeast Asia Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.7.5 Market Concentration
6.8 South America Market Performance for Manufacturers
6.8.1 South America Recommendation Engine Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.8.2 South America Recommendation Engine Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.8.3 South America Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.8.4 South America Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.8.5 Market Concentration
7 Global Recommendation Engine Market Assessment by Regions
7.1 Global Recommendation Engine Capacity (K Units) and Market Share by Regions (2014-2020)
7.2 Global Recommendation Engine Sales (K Units) and Market Share by Regions (2014-2020)
7.3 Global Recommendation Engine Revenue (M USD) and Market Share by Regions (2014-2020)
7.4 Global Recommendation Engine Price (USD/Unit) by Regions (2014-2020)
7.5 Global Recommendation Engine Gross Margin by Regions (2014-2020)
8 Capacity Analysis of Different Regions
8.1 Global Recommendation Engine Capacity and Growth Rate (2014-2020)
8.2 China Recommendation Engine Capacity and Growth Rate (2014-2020)
8.3 USA Recommendation Engine Capacity and Growth Rate (2014-2020)
8.4 Europe Recommendation Engine Capacity and Growth Rate (2014-2020)
8.5 Japan Recommendation Engine Capacity and Growth Rate (2014-2020)
8.6 Korea Recommendation Engine Capacity and Growth Rate (2014-2020)
8.7 India Recommendation Engine Capacity and Growth Rate (2014-2020)
8.8 Southeast Asia Recommendation Engine Capacity and Growth Rate (2014-2020)
8.9 South America Recommendation Engine Capacity and Growth Rate (2014-2020)
9 Technology and Cost Analysis
9.1 Technology
9.2 Cost
10 Channel Analysis
10.1 Market Channel
10.2 Manufacturing Plants Distribution of Global Recommendation Engine Major Manufacturers
11 Global Recommendation Engine Market Forecast by Regions
11.1 Global Recommendation Engine Market Forecast (2021-2026)
11.1.1 Global Recommendation Engine Capacity Forecast by Regions (2021-2026)
11.1.2 Global Recommendation Engine Sales Forecast by Regions (2021-2026)
11.1.2 Global Recommendation Engine Revenue Forecast by Regions (2021-2026)
11.2 China Recommendation Engine Market Forecast (2021-2026)
11.3 USA Recommendation Engine Market Forecast (2021-2026)
11.4 Europe Recommendation Engine Market Forecast (2021-2026)
11.5 Japan Recommendation Engine Market Forecast (2021-2026)
11.6 Korea Recommendation Engine Market Forecast (2021-2026)
11.7 India Recommendation Engine Market Forecast (2021-2026)
11.8 Southeast Asia Recommendation Engine Market Forecast (2021-2026)
11.9 South America Recommendation Engine Market Forecast (2021-2026)
12 Global Recommendation Engine Market Forecast by Types (2021-2026)
12.1 Overall Market Performance (Sales, Revenue)
12.2 Collaborative filtering
12.3 Content-based filtering
12.4 Hybrid recommendation
13 Global Recommendation Engine Market Forecast by Application (2021-2026)
13.1 Overall Market Performance (Sales and Growth Rate)
13.2 Personalized campaigns and customer discovery
13.3 Product planning
13.4 Strategy and operations planning
13.5 Proactive asset management
14 Global Price (USD/Unit) and Gross Profit Forecast
14.1 Global Recommendation Engine Average Price Forecast (2021-2026)
14.2 Global Recommendation Engine Gross Profit Forecast (2021-2026)
15 Conclusion
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