Asia-Pacific Recommendation Engine Market Assessment 2020-2026

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 Product Application Market

• 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 Asia-Pacific Recommendation Engine Sales (K Units) and Market Share by Manufacturers 2014-2020
• 5.2 Asia-Pacific Recommendation Engine Revenue (M USD) and Market Share by Manufacturers 2014-2020
• 5.3 Asia-Pacific Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
• 5.4 Asia-Pacific Recommendation Engine Gross Margin of Manufacturers 2014-2020
• 5.5 Market Concentration

6 Regions Market Performance for Manufacturers

• 6.1 China Market Performance for Manufacturers
  • 6.1.1 China Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.1.2 China Recommendation Engine Revenue (M USD) and 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 Japan Market Performance for Manufacturers
  • 6.2.1 Japan Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.2.2 Japan Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.2.3 Japan Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.2.4 Japan Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.2.5 Market Concentration
• 6.3 South Korea Market Performance for Manufacturers
  • 6.3.1 South Korea Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.3.2 South Korea Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.3.3 South Korea Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.3.4 South Korea Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.3.5 Market Concentration
• 6.4 India Market Performance for Manufacturers
  • 6.4.1 India Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.4.2 India Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.4.3 India Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.4.4 India Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.4.5 Market Concentration
• 6.5 Southeast Asia Market Performance for Manufacturers
  • 6.5.1 Southeast Asia Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.5.2 Southeast Asia Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.5.3 Southeast Asia Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.5.4 Southeast Asia Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.5.5 Market Concentration
• 6.6 Australia Market Performance for Manufacturers
  • 6.6.1 Australia Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.6.2 Australia Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.6.3 Australia Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.6.4 Australia Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.6.5 Market Concentration
• 6.7 Market Performance for Manufacturers
  • 6.7.1 Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.7.2 Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.7.3 Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.7.4 Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.7.5 Market Concentration
• 6.8 Market Performance for Manufacturers
  • 6.8.1 Recommendation Engine Sales (K Units) and Share of Manufacturers 2014-2020
  • 6.8.2 Recommendation Engine Revenue (M USD) and Share of Manufacturers 2014-2020
  • 6.8.3 Recommendation Engine Price (USD/Unit) of Manufacturers 2014-2020
  • 6.8.4 Recommendation Engine Gross Margin of Manufacturers 2014-2020
  • 6.8.5 Market Concentration

7 Asia-Pacific Recommendation Engine Market Performance (Sales)

• 7.1 Asia-Pacific Recommendation Engine Sales (K Units) and Market Share by Regions 2014-2020
• 7.2 Asia-Pacific Recommendation Engine Revenue (M USD) and Market Share by Regions 2014-2020
• 7.3 Asia-Pacific Recommendation Engine Price (USD/Unit) by Regions 2014-2020
• 7.4 Asia-Pacific Recommendation Engine Gross Margin by Regions 2014-2020

8 Development Trend for Regions (Sales)

• 8.1 Asia-Pacific Recommendation Engine Sales and Growth, Sales Value and Growth Rate2014-2020
• 8.2 China Recommendation Engine Sales and Growth, Sales Value and Growth Rate 2014-2020
• 8.3 Japan Recommendation Engine Sales and Growth, Sales Value and Growth Rate 2014-2020
• 8.4 South Korea Recommendation Engine Sales and Growth, Sales Value and Growth Rate 2014-2020
• 8.5 India Recommendation Engine Sales and Growth, Sales Value and Growth Rate 2014-2020
• 8.6 Southeast Asia Recommendation Engine Sales and Growth, Sales Value and Growth Rate 2014-2020
• 8.7 Australia 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 Asia-Pacific Recommendation Engine Sales (K Units), Revenue (M USD) and Market Share by Regions 2021-2026
  • 12.1.2 Asia-Pacific Recommendation Engine Sales (K Units) and Growth Rate 2021-2026
  • 12.1.3 China Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.1.4 Japan Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.1.5 South Korea Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.1.6 India Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.1.7 Southeast Asia Recommendation Engine Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.1.8 Australia 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 Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.2.3 Content-based filtering Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
  • 12.2.4 Hybrid recommendation Sales (K Units), Revenue (M USD) and Growth Rate 2021-2026
• 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 Asia-Pacific Recommendation Engine Price (USD/Unit) Trend 2021-2026
  • 12.4.2 Asia-Pacific Recommendation Engine Gross Profit Trend 2021-2026

13 Conclusion