In this report, our team offers a comprehensive analysis of Personalization Engines 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
Acquia
Adobe
BloomReach
Boxever
Certona
DynamicYield
Emarsys
Episerver
Evergage
IBM
IgnitionOne
Monetate
Oracle
Qubit
Reflektion
RichRelevance
SAS
Strands
...
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
Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others (telecom, energy and utilities, manufacturing, and education)
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 Personalization Engines 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 Manufacturing
1.4.2 Healthcare
1.4.3 BFSI
1.4.4 Media and entertainment
1.4.5 Transportation
1.4.6 Others (telecom, energy and utilities, manufacturing, and education)
1.5 Industrial Chain
1.5.1 Personalization Engines 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 Personalization Engines Market Assessment by Application
3.1 Overall Market Performance (Volume)
3.2 Manufacturing
3.3 Healthcare
3.4 BFSI
3.5 Media and entertainment
3.6 Transportation
3.7 Others (telecom, energy and utilities, manufacturing, and education)
4 Competitive Analysis
4.1 Acquia
4.1.1 Acquia Profiles
4.1.2 Acquia Product Information
4.1.3 Acquia Personalization Engines Business Performance
4.1.4 SWOT Analysis
4.2 Adobe
4.2.1 Adobe Profiles
4.2.2 Adobe Product Information
4.2.3 Adobe Personalization Engines Business Performance
4.2.4 SWOT Analysis
4.3 BloomReach
4.3.1 BloomReach Profiles
4.3.2 BloomReach Product Information
4.3.3 BloomReach Personalization Engines Business Performance
4.3.4 SWOT Analysis
4.4 Boxever
4.4.1 Boxever Profiles
4.4.2 Boxever Product Information
4.4.3 Boxever Personalization Engines Business Performance
4.4.4 SWOT Analysis
4.5 Certona
4.5.1 Certona Profiles
4.5.2 Certona Product Information
4.5.3 Certona Personalization Engines Business Performance
4.5.4 SWOT Analysis
4.6 DynamicYield
4.6.1 DynamicYield Profiles
4.6.2 DynamicYield Product Information
4.6.3 DynamicYield Personalization Engines Business Performance
4.6.4 SWOT Analysis
4.7 Emarsys
4.7.1 Emarsys Profiles
4.7.2 Emarsys Product Information
4.7.3 Emarsys Personalization Engines Business Performance
4.7.4 SWOT Analysis
4.8 Episerver
4.8.1 Episerver Profiles
4.8.2 Episerver Product Information
4.8.3 Episerver Personalization Engines Business Performance
4.8.4 SWOT Analysis
4.9 Evergage
4.9.1 Evergage Profiles
4.9.2 Evergage Product Information
4.9.3 Evergage Personalization Engines Business Performance
4.9.4 SWOT Analysis
4.10 IBM
4.10.1 IBM Profiles
4.10.2 IBM Product Information
4.10.3 IBM Personalization Engines Business Performance
4.10.4 SWOT Analysis
4.11 IgnitionOne
4.12 Monetate
4.13 Oracle
4.14 Qubit
4.15 Reflektion
4.16 RichRelevance
4.17 SAS
4.18 Strands
5 Competitive Lanscape
5.1 Global Personalization Engines Capacity (K Units) and Market Share of Manufacturers (2014-2020)
5.2 Global Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
5.3 Global Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
5.4 Global Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
5.5 Global Personalization Engines 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 Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.1.2 China Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.1.3 China Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.1.4 China Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.1.5 Market Concentration
6.2 USA Market Performance for Manufacturers
6.2.1 USA Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.2.2 USA Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.2.3 USA Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.2.4 USA Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.2.5 Market Concentration
6.3 Europe Market Performance for Manufacturers
6.3.1 Europe Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.3.2 Europe Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.3.3 Europe Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.3.4 Europe Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.3.5 Market Concentration
6.4 Japan Market Performance for Manufacturers
6.4.1 Japan Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.4.2 Japan Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.4.3 Japan Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.4.4 Japan Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.4.5 Market Concentration
6.5 Korea Market Performance for Manufacturers
6.5.1 Korea Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.5.2 Korea Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.5.3 Korea Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.5.4 Korea Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.5.5 Market Concentration
6.6 India Market Performance for Manufacturers
6.6.1 India Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.6.2 India Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.6.3 India Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.6.4 India Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.6.5 Market Concentration
6.7 Southeast Asia Market Performance for Manufacturers
6.7.1 Southeast Asia Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.7.2 Southeast Asia Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.7.3 Southeast Asia Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.7.4 Southeast Asia Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.7.5 Market Concentration
6.8 South America Market Performance for Manufacturers
6.8.1 South America Personalization Engines Sales (K Units) and Market Share of Manufacturers (2014-2020)
6.8.2 South America Personalization Engines Revenue (M USD) and Market Share of Manufacturers (2014-2020)
6.8.3 South America Personalization Engines Price (USD/Unit) of Manufacturers (2014-2020)
6.8.4 South America Personalization Engines Gross Margin of Manufacturers (2014-2020)
6.8.5 Market Concentration
7 Global Personalization Engines Market Assessment by Regions
7.1 Global Personalization Engines Capacity (K Units) and Market Share by Regions (2014-2020)
7.2 Global Personalization Engines Sales (K Units) and Market Share by Regions (2014-2020)
7.3 Global Personalization Engines Revenue (M USD) and Market Share by Regions (2014-2020)
7.4 Global Personalization Engines Price (USD/Unit) by Regions (2014-2020)
7.5 Global Personalization Engines Gross Margin by Regions (2014-2020)
8 Capacity Analysis of Different Regions
8.1 Global Personalization Engines Capacity and Growth Rate (2014-2020)
8.2 China Personalization Engines Capacity and Growth Rate (2014-2020)
8.3 USA Personalization Engines Capacity and Growth Rate (2014-2020)
8.4 Europe Personalization Engines Capacity and Growth Rate (2014-2020)
8.5 Japan Personalization Engines Capacity and Growth Rate (2014-2020)
8.6 Korea Personalization Engines Capacity and Growth Rate (2014-2020)
8.7 India Personalization Engines Capacity and Growth Rate (2014-2020)
8.8 Southeast Asia Personalization Engines Capacity and Growth Rate (2014-2020)
8.9 South America Personalization Engines 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 Personalization Engines Major Manufacturers
11 Global Personalization Engines Market Forecast by Regions
11.1 Global Personalization Engines Market Forecast (2021-2026)
11.1.1 Global Personalization Engines Capacity Forecast by Regions (2021-2026)
11.1.2 Global Personalization Engines Sales Forecast by Regions (2021-2026)
11.1.2 Global Personalization Engines Revenue Forecast by Regions (2021-2026)
11.2 China Personalization Engines Market Forecast (2021-2026)
11.3 USA Personalization Engines Market Forecast (2021-2026)
11.4 Europe Personalization Engines Market Forecast (2021-2026)
11.5 Japan Personalization Engines Market Forecast (2021-2026)
11.6 Korea Personalization Engines Market Forecast (2021-2026)
11.7 India Personalization Engines Market Forecast (2021-2026)
11.8 Southeast Asia Personalization Engines Market Forecast (2021-2026)
11.9 South America Personalization Engines Market Forecast (2021-2026)
12 Global Personalization Engines 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 Personalization Engines Market Forecast by Application (2021-2026)
13.1 Overall Market Performance (Sales and Growth Rate)
13.2 Manufacturing
13.3 Healthcare
13.4 BFSI
13.5 Media and entertainment
13.6 Transportation
13.7 Others (telecom, energy and utilities, manufacturing, and education)
14 Global Price (USD/Unit) and Gross Profit Forecast
14.1 Global Personalization Engines Average Price Forecast (2021-2026)
14.2 Global Personalization Engines Gross Profit Forecast (2021-2026)
15 Conclusion
Price : US$ 3500 |
Date : Jan 2024 |
Category : Services |
Pages : 117 |