In this report, the Recommendation Engine market is expected to be valued at USD xxx billion by 2026, growing at a CAGR of xx% between 2020 and 2026. In this study, sales and sales value (million USD) of major players in USA market will be included.
Sales and revenue by type/application from 2014-2026.
Industry chain, market trend, downstream and upstream information is also included.
Geographically, this report split USA into several key Regions, with sales (K Units), revenue (Million USD), market share and growth rate of Recommendation Engine for these regions, from 2014 to 2026 (forecast), including
Northeast
Midwest
South
West
USA 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 Market Performance (Volume)
2.1.2 Content-based filtering Market Performance (Volume)
2.1.3 Hybrid recommendation Market Performance (Volume)
2.2 Overall Market Performance(Value)
2.2.1 Collaborative filtering Market Performance (Value)
2.2.2 Content-based filtering Market Performance (Value)
2.2.3 Hybrid recommendation Market Performance (Value)
3 Market Assessment by Application
3.1 Overall Market Performance (Volume)
3.1.1 Personalized campaigns and customer discovery Market Performance (Volume)
3.1.2 Product planning Market Performance (Volume)
3.1.3 Strategy and operations planning Market Performance (Volume)
3.1.4 Proactive asset management Market Performance (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 USA Recommendation Engine Sales (K Units) and Market Share by Manufacturers (2014-2020)
5.2 USA Recommendation Engine Revenue (M USD) and Market Share by Manufacturers (2014-2020)
5.3 USA Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
5.4 USA Recommendation Engine Gross Margin of Manufacturers (2014-2020)
5.5 Market Concentration
6 Regions Market Performance for Manufacturers
6.1 Northeast Market Performance for Manufacturers
6.1.1 Northeast Recommendation Engine Sales (K Units) and Share of Manufacturers (2014-2020)
6.1.2 Northeast Recommendation Engine Revenue (M USD) and Share of Manufacturers (2014-2020)
6.1.3 Northeast Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.1.4 Northeast Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.1.5 Market Concentration
6.2 Midwest Market Performance for Manufacturers
6.2.1 Midwest Recommendation Engine Sales (K Units) and Share of Manufacturers (2014-2020)
6.2.2 Midwest Recommendation Engine Revenue (M USD) and Share of Manufacturers (2014-2020)
6.2.3 Midwest Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.2.4 Midwest Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.2.5 Market Concentration
6.3 South Market Performance for Manufacturers
6.3.1 South Recommendation Engine Sales (K Units) and Share of Manufacturers (2014-2020)
6.3.2 South Recommendation Engine Revenue (M USD) and Share of Manufacturers (2014-2020)
6.3.3 South Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.3.4 South Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.3.5 Market Concentration
6.4 West Market Performance for Manufacturers
6.4.1 West Recommendation Engine Sales (K Units) and Share of Manufacturers (2014-2020)
6.4.2 West Recommendation Engine Revenue (M USD) and Share of Manufacturers (2014-2020)
6.4.3 West Recommendation Engine Price (USD/Unit) of Manufacturers (2014-2020)
6.4.4 West Recommendation Engine Gross Margin of Manufacturers (2014-2020)
6.4.5 Market Concentration
7 USA Recommendation Engine Market Performance (Sales Point)
7.1 USA Recommendation Engine Sales (K Units) and Market Share by Regions (2014-2020)
7.2 USA Recommendation Engine Revenue (M USD) and Market Share by Regions (2014-2020)
7.3 USA Recommendation Engine Price (USD/Unit) by Regions (2014-2020)
7.4 USA Recommendation Engine Gross Margin by Regions (2014-2020)
8 Development Trend for Regions (Sales Point)
8.1 USA Recommendation Engine Sales and Growth, Sales Value and Growth Rate(2014-2020)
8.2 Northeast Recommendation Engine Sales and Growth, Sales Value and Growth Rate(2014-2020)
8.3 Midwest Recommendation Engine Sales and Growth, Sales Value and Growth Rate(2014-2020)
8.4 South Recommendation Engine Sales and Growth, Sales Value and Growth Rate(2014-2020)
8.5 West Recommendation Engine Sales and Growth, Sales Value and Growth Rate(2014-2020)
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
12 Market Forecast 2021-2026
12.1 Sales (K Units), Revenue (M USD), Market Share and Growth Rate 2021-2026
12.1.1 USA Recommendation Engine Sales (K Units), Revenue (M USD) and Market Share by Regions 2021-2026
12.1.2 USA Recommendation Engine Sales (K Units) and Growth Rate 2021-2026
12.1.3 Northeast Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.4 Midwest Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.5 South Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.6 West Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.7 Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.8 Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.9 Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.1.10 Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.3 Sales (K Units), Revenue (M USD) by Types 2021-2026
12.3.1 Overall Market Performance
12.3.2 Collaborative filtering Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.3.3 Content-based filtering Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.3.4 Hybrid recommendation Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
12.4 Sales by Application 2021-2026
12.4.1 Overall Market Performance
12.4.2 Personalized campaigns and customer discovery Sales and and Growth Rate 2021-2026
12.4.3 Product planning Sales and and Growth Rate 2021-2026
12.4.4 Strategy and operations planning Sales and and Growth Rate 2021-2026
12.4.5 Proactive asset management Sales and and Growth Rate 2021-2026
12.5 Price (USD/Unit) and Gross Profit
12.5.1 USA Recommendation Engine Price (USD/Unit) Trend 2021-2026
12.5.2 USA Recommendation Engine Gross Profit Trend 2021-2026
13 Conclusion
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