China Recommendation Engine Market Assessment 2020-2026

In this report, our team research the China Recommendation Engine market by type, application, region and manufacturer 2014-2020 and forcast 2021-2026. For the region, type and application, the sales, revenue and their market share, growth rate are key research objects; we can research the manufacturers' sales, price, revenue, cost and gross profit and their changes. What's more, we will display the main consumers, raw material manufacturers, distributors, etc.


China Recommendation Engine market competition by top manufacturers/players, with Recommendation Engine sales volume, price, revenue (Million USD) and market share for each manufacturer/player; the top players including
IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP

On the basis of product, this report displays the sales volume (K Units), revenue (Million USD), product price (USD/Unit), market share and growth rate of each type, primarily split into
Collaborative filtering
Content-based filtering
Hybrid recommendation

On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume (K Units), market share and growth rate of Recommendation Engine for each application, including
Personalized campaigns and customer discovery
Product planning
Strategy and operations planning
Proactive asset management

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Table of Contents

1 Report Overview
1.1 Definition and Specification
1.2 Report Overview
1.2.1 Manufacturers Overview
1.2.2 Regions Overview
1.2.3 Type Overview
1.2.4 Application Overview
1.3 Industrial Chain
1.3.1 Recommendation Engine Overall Industrial Chain
1.3.2 Upstream
1.3.3 Downstream
1.4 Industry Situation
1.4.1 Industrial Policy
1.4.2 Product Preference
1.4.3 Economic/Political Environment
1.5 SWOT Analysis
2 Market Analysis by Types
2.1 Overall Market Performance(Volume)
2.1.1 Collaborative filtering (Volume)
2.1.2 Content-based filtering (Volume)
2.1.3 Hybrid recommendation (Volume)
2.2 Overall Market Performance(Value)
2.2.1 Collaborative filtering (Value)
2.2.2 Content-based filtering (Value)
2.2.3 Hybrid recommendation (Value)
3 Product Application Market
3.1 Overall Market Performance (Volume)
3.1.1 Personalized campaigns and customer discovery (Volume)
3.1.2 Product planning (Volume)
3.1.3 Strategy and operations planning (Volume)
3.1.4 Proactive asset management (Volume)
4 Manufacturers Profiles/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 IBM Recommendation Engine Business Development and Market Status
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 Google Recommendation Engine Business Development and Market Status
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 AWS Recommendation Engine Business Development and Market Status
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 Microsoft Recommendation Engine Business Development and Market Status
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 Salesforce Recommendation Engine Business Development and Market Status
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 Sentient Technologies Recommendation Engine Business Development and Market Status
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 HPE Recommendation Engine Business Development and Market Status
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 Oracle Recommendation Engine Business Development and Market Status
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 Intel Recommendation Engine Business Development and Market Status
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 SAP Recommendation Engine Business Development and Market Status
5 Market Performance for Manufacturers
5.1 China Recommendation Engine Sales (K Units) and Market Share by Manufacturers 2014-2020
5.2 China Recommendation Engine Revenue (M USD) and Market Share by Manufacturers 2014-2020
5.3 China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
5.4 China Recommendation Engine Gross Margin of Manufacturers 2014-2020
5.5 Market Concentration
6 Regions Market Performance for Manufacturers
6.1 South China Market Performance for Manufacturers
6.1.1 South China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.1.2 South China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.1.3 South China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.1.4 South China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.1.5 Market Concentration
6.2 East China Market Performance for Manufacturers
6.2.1 East China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.2.2 East China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.2.3 East China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.2.4 East China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.2.5 Market Concentration
6.3 Southwest China Market Performance for Manufacturers
6.3.1 Southwest China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.3.2 Southwest China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.3.3 Southwest China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.3.4 Southwest China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.3.5 Market Concentration
6.4 Northeast China Market Performance for Manufacturers
6.4.1 Northeast China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.4.2 Northeast China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.4.3 Northeast China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.4.4 Northeast China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.4.5 Market Concentration
6.5 North China Market Performance for Manufacturers
6.5.1 North China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.5.2 North China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.5.3 North China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.5.4 North China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.5.5 Market Concentration
6.6 Central China Market Performance for Manufacturers
6.6.1 Central China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.6.2 Central China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.6.3 Central China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.6.4 Central China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.6.5 Market Concentration
6.7 Northwest China Market Performance for Manufacturers
6.7.1 Northwest China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
6.7.2 Northwest China Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
6.7.3 Northwest China Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
6.7.4 Northwest China Recommendation Engine Gross Margin of Manufacturers 2014-2020
6.7.5 Market Concentration
7 China Recommendation Engine Market Performance (Sales Point)
7.1 China Recommendation Engine Sales (K Units) and Market Share by Regions 2014-2020
7.2 China Recommendation Engine Revenue (M USD) and Market Share by Regions 2014-2020
7.3 China Recommendation Engine Price (USD/Unit) by Regions 2014-2020
7.4 China Recommendation Engine Gross Margin by Regions 2014-2020
8 Development Trend for Regions (Sales Point)
8.1 China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.2 South China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.3 East China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.4 Southwest China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.5 Northeast China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.6 North China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.7 Central China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
8.8 Northwest China Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
9 Upstream Source, Technology and Cost
9.1 Upstream Source
9.2 Technology
9.3 Cost
10 Channel Analysis
10.1 Market Channel
10.2 Distributors
11 Consumer Analysis
11.1 Personalized campaigns and customer discovery Industry
11.2 Product planning Industry
11.3 Strategy and operations planning Industry
11.4 Proactive asset management Industry
12 Market Forecast 2021-2026
12.1 Sales (K Units), Revenue (M USD), Market Share and Growth Rate 2021-2026
12.1.1 China Recommendation Engine Sales (K Units), Revenue (M USD) and Market Share by Regions 2021-2026
12.1.2 China Recommendation Engine Sales (K Units) and Growth Rate 2021-2026
12.1.3 South China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.4 East China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.5 Southwest China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.6 Northeast China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.7 North China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.8 Central China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.9 Northwest China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.2 Sales (K Units) and Revenue (M USD) Forecast by Types 2021-2026
12.2.1 Overall Market Performance
12.2.2 Collaborative filtering
12.2.3 Content-based filtering
12.2.4 Hybrid recommendation
12.3 Sales and Growth Rate Forecast by Application 2021-2026
12.3.1 Overall Market Performance
12.3.2 Personalized campaigns and customer discovery
12.3.3 Product planning
12.3.4 Strategy and operations planning
12.3.5 Proactive asset management
12.4 Price (USD/Unit) and Gross Profit Forecast
12.4.1 China Recommendation Engine Price (USD/Unit) Trend 2021-2026
12.4.2 China Recommendation Engine Gross Profit Trend 2021-2026
13 Conclusion


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