
The global market for Personalization Engine for Ecommerce was estimated to be worth US$ 1954 million in 2023 and is forecast to a readjusted size of US$ 7795.5 million by 2030 with a CAGR of 20.9% during the forecast period 2024-2030
According to International Telecommunication Union (ITU), the global Internet users (online population) were more than 5 billion. And the number of online shoppers was also increasing. In 2022, the global e-commerce market penetration rate increased to 19.7%, and the e-commerce market reached $5.5 trillion. At the same time, the Asian e-commerce market ranked at the top of the revenue ranking, which has reached $1.8 trillion. According to the National Bureau of Statistics, China was the largest online retail market in 2022, with online retail sales of 13.79 trillion yuan and a year-on-year increase of 4%. Among them, the online retail sales of physical goods were 11.96 trillion yuan, with a year-on-year increase of 6.2%, which accounted for 27.2% of the total retail sales of consumer goods.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Personalization Engine for Ecommerce, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Personalization Engine for Ecommerce by region & country, by Type, and by Application.
The Personalization Engine for Ecommerce market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Personalization Engine for Ecommerce.
Market Segmentation
By Company
Adobe
AgilOne
Cheetah Digital
Emarsys
Episerver
IBM
Listrak
Marketo
Maropost
Optimove
Oracle
Pegasystems
RedPoint Global
Resulticks
Sailthru
Salesforce
SAP
SAS
Selligent Marketing Cloud
Sitecore
Zeta
Segment by Type:
Website Personalization
Email Personalization
Mobile App Personalization
Others
Segment by Application
B2B
B2C
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Personalization Engine for Ecommerce manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Personalization Engine for Ecommerce in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Personalization Engine for Ecommerce in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Personalization Engine for Ecommerce Product Introduction
1.2 Global Personalization Engine for Ecommerce Market Size Forecast
1.3 Personalization Engine for Ecommerce Market Trends & Drivers
1.3.1 Personalization Engine for Ecommerce Industry Trends
1.3.2 Personalization Engine for Ecommerce Market Drivers & Opportunity
1.3.3 Personalization Engine for Ecommerce Market Challenges
1.3.4 Personalization Engine for Ecommerce Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Personalization Engine for Ecommerce Players Revenue Ranking (2023)
2.2 Global Personalization Engine for Ecommerce Revenue by Company (2019-2024)
2.3 Key Companies Personalization Engine for Ecommerce Manufacturing Base Distribution and Headquarters
2.4 Key Companies Personalization Engine for Ecommerce Product Offered
2.5 Key Companies Time to Begin Mass Production of Personalization Engine for Ecommerce
2.6 Personalization Engine for Ecommerce Market Competitive Analysis
2.6.1 Personalization Engine for Ecommerce Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Personalization Engine for Ecommerce Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Personalization Engine for Ecommerce as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Website Personalization
3.1.2 Email Personalization
3.1.3 Mobile App Personalization
3.1.4 Others
3.2 Global Personalization Engine for Ecommerce Sales Value by Type
3.2.1 Global Personalization Engine for Ecommerce Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Personalization Engine for Ecommerce Sales Value, by Type (2019-2030)
3.2.3 Global Personalization Engine for Ecommerce Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 B2B
4.1.2 B2C
4.2 Global Personalization Engine for Ecommerce Sales Value by Application
4.2.1 Global Personalization Engine for Ecommerce Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Personalization Engine for Ecommerce Sales Value, by Application (2019-2030)
4.2.3 Global Personalization Engine for Ecommerce Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Personalization Engine for Ecommerce Sales Value by Region
5.1.1 Global Personalization Engine for Ecommerce Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Personalization Engine for Ecommerce Sales Value by Region (2019-2024)
5.1.3 Global Personalization Engine for Ecommerce Sales Value by Region (2025-2030)
5.1.4 Global Personalization Engine for Ecommerce Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Personalization Engine for Ecommerce Sales Value, 2019-2030
5.2.2 North America Personalization Engine for Ecommerce Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Personalization Engine for Ecommerce Sales Value, 2019-2030
5.3.2 Europe Personalization Engine for Ecommerce Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Personalization Engine for Ecommerce Sales Value, 2019-2030
5.4.2 Asia Pacific Personalization Engine for Ecommerce Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Personalization Engine for Ecommerce Sales Value, 2019-2030
5.5.2 South America Personalization Engine for Ecommerce Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Personalization Engine for Ecommerce Sales Value, 2019-2030
5.6.2 Middle East & Africa Personalization Engine for Ecommerce Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Personalization Engine for Ecommerce Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Personalization Engine for Ecommerce Sales Value
6.3 United States
6.3.1 United States Personalization Engine for Ecommerce Sales Value, 2019-2030
6.3.2 United States Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Personalization Engine for Ecommerce Sales Value, 2019-2030
6.4.2 Europe Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Personalization Engine for Ecommerce Sales Value, 2019-2030
6.5.2 China Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.5.3 China Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Personalization Engine for Ecommerce Sales Value, 2019-2030
6.6.2 Japan Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Personalization Engine for Ecommerce Sales Value, 2019-2030
6.7.2 South Korea Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Personalization Engine for Ecommerce Sales Value, 2019-2030
6.8.2 Southeast Asia Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Personalization Engine for Ecommerce Sales Value, 2019-2030
6.9.2 India Personalization Engine for Ecommerce Sales Value by Type (%), 2023 VS 2030
6.9.3 India Personalization Engine for Ecommerce Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Adobe
7.1.1 Adobe Profile
7.1.2 Adobe Main Business
7.1.3 Adobe Personalization Engine for Ecommerce Products, Services and Solutions
7.1.4 Adobe Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.1.5 Adobe Recent Developments
7.2 AgilOne
7.2.1 AgilOne Profile
7.2.2 AgilOne Main Business
7.2.3 AgilOne Personalization Engine for Ecommerce Products, Services and Solutions
7.2.4 AgilOne Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.2.5 AgilOne Recent Developments
7.3 Cheetah Digital
7.3.1 Cheetah Digital Profile
7.3.2 Cheetah Digital Main Business
7.3.3 Cheetah Digital Personalization Engine for Ecommerce Products, Services and Solutions
7.3.4 Cheetah Digital Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.3.5 Emarsys Recent Developments
7.4 Emarsys
7.4.1 Emarsys Profile
7.4.2 Emarsys Main Business
7.4.3 Emarsys Personalization Engine for Ecommerce Products, Services and Solutions
7.4.4 Emarsys Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.4.5 Emarsys Recent Developments
7.5 Episerver
7.5.1 Episerver Profile
7.5.2 Episerver Main Business
7.5.3 Episerver Personalization Engine for Ecommerce Products, Services and Solutions
7.5.4 Episerver Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.5.5 Episerver Recent Developments
7.6 IBM
7.6.1 IBM Profile
7.6.2 IBM Main Business
7.6.3 IBM Personalization Engine for Ecommerce Products, Services and Solutions
7.6.4 IBM Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.6.5 IBM Recent Developments
7.7 Listrak
7.7.1 Listrak Profile
7.7.2 Listrak Main Business
7.7.3 Listrak Personalization Engine for Ecommerce Products, Services and Solutions
7.7.4 Listrak Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.7.5 Listrak Recent Developments
7.8 Marketo
7.8.1 Marketo Profile
7.8.2 Marketo Main Business
7.8.3 Marketo Personalization Engine for Ecommerce Products, Services and Solutions
7.8.4 Marketo Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.8.5 Marketo Recent Developments
7.9 Maropost
7.9.1 Maropost Profile
7.9.2 Maropost Main Business
7.9.3 Maropost Personalization Engine for Ecommerce Products, Services and Solutions
7.9.4 Maropost Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.9.5 Maropost Recent Developments
7.10 Optimove
7.10.1 Optimove Profile
7.10.2 Optimove Main Business
7.10.3 Optimove Personalization Engine for Ecommerce Products, Services and Solutions
7.10.4 Optimove Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.10.5 Optimove Recent Developments
7.11 Oracle
7.11.1 Oracle Profile
7.11.2 Oracle Main Business
7.11.3 Oracle Personalization Engine for Ecommerce Products, Services and Solutions
7.11.4 Oracle Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.11.5 Oracle Recent Developments
7.12 Pegasystems
7.12.1 Pegasystems Profile
7.12.2 Pegasystems Main Business
7.12.3 Pegasystems Personalization Engine for Ecommerce Products, Services and Solutions
7.12.4 Pegasystems Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.12.5 Pegasystems Recent Developments
7.13 RedPoint Global
7.13.1 RedPoint Global Profile
7.13.2 RedPoint Global Main Business
7.13.3 RedPoint Global Personalization Engine for Ecommerce Products, Services and Solutions
7.13.4 RedPoint Global Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.13.5 RedPoint Global Recent Developments
7.14 Resulticks
7.14.1 Resulticks Profile
7.14.2 Resulticks Main Business
7.14.3 Resulticks Personalization Engine for Ecommerce Products, Services and Solutions
7.14.4 Resulticks Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.14.5 Resulticks Recent Developments
7.15 Sailthru
7.15.1 Sailthru Profile
7.15.2 Sailthru Main Business
7.15.3 Sailthru Personalization Engine for Ecommerce Products, Services and Solutions
7.15.4 Sailthru Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.15.5 Sailthru Recent Developments
7.16 Salesforce
7.16.1 Salesforce Profile
7.16.2 Salesforce Main Business
7.16.3 Salesforce Personalization Engine for Ecommerce Products, Services and Solutions
7.16.4 Salesforce Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.16.5 Salesforce Recent Developments
7.17 SAP
7.17.1 SAP Profile
7.17.2 SAP Main Business
7.17.3 SAP Personalization Engine for Ecommerce Products, Services and Solutions
7.17.4 SAP Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.17.5 SAP Recent Developments
7.18 SAS
7.18.1 SAS Profile
7.18.2 SAS Main Business
7.18.3 SAS Personalization Engine for Ecommerce Products, Services and Solutions
7.18.4 SAS Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.18.5 SAS Recent Developments
7.19 Selligent Marketing Cloud
7.19.1 Selligent Marketing Cloud Profile
7.19.2 Selligent Marketing Cloud Main Business
7.19.3 Selligent Marketing Cloud Personalization Engine for Ecommerce Products, Services and Solutions
7.19.4 Selligent Marketing Cloud Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.19.5 Selligent Marketing Cloud Recent Developments
7.20 Sitecore
7.20.1 Sitecore Profile
7.20.2 Sitecore Main Business
7.20.3 Sitecore Personalization Engine for Ecommerce Products, Services and Solutions
7.20.4 Sitecore Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.20.5 Sitecore Recent Developments
7.21 Zeta
7.21.1 Zeta Profile
7.21.2 Zeta Main Business
7.21.3 Zeta Personalization Engine for Ecommerce Products, Services and Solutions
7.21.4 Zeta Personalization Engine for Ecommerce Revenue (US$ Million) & (2019-2024)
7.21.5 Zeta Recent Developments
8 Industry Chain Analysis
8.1 Personalization Engine for Ecommerce Industrial Chain
8.2 Personalization Engine for Ecommerce Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Personalization Engine for Ecommerce Sales Model
8.5.2 Sales Channel
8.5.3 Personalization Engine for Ecommerce Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Adobe
AgilOne
Cheetah Digital
Emarsys
Episerver
IBM
Listrak
Marketo
Maropost
Optimove
Oracle
Pegasystems
RedPoint Global
Resulticks
Sailthru
Salesforce
SAP
SAS
Selligent Marketing Cloud
Sitecore
Zeta
Ìý
Ìý
*If Applicable.
