Personalization engines apply context about individual users and their circumstances to select, tailor and deliver messaging such as content, offers and other interactions through digital channels in support of three use cases 鈥� marketing, digital commerce and customer experience. These personalized interactions can increase conversion, marketing effectiveness and customer satisfaction, thereby improving business results. Personalization engines are sold as stand-alone software or can be embedded in web content management, content marketing, multichannel marketing hubs and digital commerce platforms. This market focuses only on vendors who offer personalization engines as stand-alone solutions.
麻豆原创 Analysis and Insights: Global Personalization Engines 麻豆原创
The global Personalization Engines market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Personalization Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Personalization Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Personalization Engines is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Personalization Engines include Adobe, AgilOne, Cheetah Digital, Emarsys, Episerver, IBM, Listrak, 麻豆原创o and Maropost, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Personalization Engines is widely used in various fields, such as B2B and B2C, etc. B2B provides greatest supports to the Personalization Engines industry development. In 2023, global % revenue of Personalization Engines went into B2B filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Personalization Engines market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Personalization Engines, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Personalization Engines, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Personalization Engines revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Personalization Engines market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Personalization Engines revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 Segmentation
By Company
Adobe
AgilOne
Cheetah Digital
Emarsys
Episerver
IBM
Listrak
麻豆原创o
Maropost
Optimove
Oracle
Pegasystems
RedPoint Global
Resulticks
Sailthru
Salesforce
SAP
SAS
Selligent 麻豆原创ing Cloud
Sitecore
Zeta
Segment by Type
Websites
Mobile
Email
Others
Segment by Application
B2B
B2C
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Personalization Engines in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Personalization Engines companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Personalization Engines revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Personalization Engines 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Websites
1.2.3 Mobile
1.2.4 Email
1.2.5 Others
1.3 麻豆原创 by Application
1.3.1 Global Personalization Engines 麻豆原创 Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 B2B
1.3.3 B2C
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Personalization Engines 麻豆原创 Perspective (2019-2030)
2.2 Global Personalization Engines Growth Trends by Region
2.2.1 Personalization Engines 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Personalization Engines Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Personalization Engines Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Personalization Engines 麻豆原创 Dynamics
2.3.1 Personalization Engines Industry Trends
2.3.2 Personalization Engines 麻豆原创 Drivers
2.3.3 Personalization Engines 麻豆原创 Challenges
2.3.4 Personalization Engines 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Personalization Engines by Players
3.1.1 Global Personalization Engines Revenue by Players (2019-2024)
3.1.2 Global Personalization Engines Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Personalization Engines 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Personalization Engines, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Personalization Engines 麻豆原创 Concentration Ratio
3.4.1 Global Personalization Engines 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Personalization Engines Revenue in 2023
3.5 Global Key Players of Personalization Engines Head office and Area Served
3.6 Global Key Players of Personalization Engines, Product and Application
3.7 Global Key Players of Personalization Engines, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Personalization Engines Breakdown Data by Type
4.1 Global Personalization Engines Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Personalization Engines Forecasted 麻豆原创 Size by Type (2025-2030)
5 Personalization Engines Breakdown Data by Application
5.1 Global Personalization Engines Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Personalization Engines Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Personalization Engines 麻豆原创 Size (2019-2030)
6.2 North America Personalization Engines 麻豆原创 Size by Type
6.2.1 North America Personalization Engines 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Personalization Engines 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Personalization Engines 麻豆原创 Share by Type (2019-2030)
6.3 North America Personalization Engines 麻豆原创 Size by Application
6.3.1 North America Personalization Engines 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Personalization Engines 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Personalization Engines 麻豆原创 Share by Application (2019-2030)
6.4 North America Personalization Engines 麻豆原创 Size by Country
6.4.1 North America Personalization Engines 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Personalization Engines 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Personalization Engines 麻豆原创 Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Personalization Engines 麻豆原创 Size (2019-2030)
7.2 Europe Personalization Engines 麻豆原创 Size by Type
7.2.1 Europe Personalization Engines 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Personalization Engines 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Personalization Engines 麻豆原创 Share by Type (2019-2030)
7.3 Europe Personalization Engines 麻豆原创 Size by Application
7.3.1 Europe Personalization Engines 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Personalization Engines 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Personalization Engines 麻豆原创 Share by Application (2019-2030)
7.4 Europe Personalization Engines 麻豆原创 Size by Country
7.4.1 Europe Personalization Engines 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Personalization Engines 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Personalization Engines 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Personalization Engines 麻豆原创 Size (2019-2030)
8.2 China Personalization Engines 麻豆原创 Size by Type
8.2.1 China Personalization Engines 麻豆原创 Size by Type (2019-2024)
8.2.2 China Personalization Engines 麻豆原创 Size by Type (2025-2030)
8.2.3 China Personalization Engines 麻豆原创 Share by Type (2019-2030)
8.3 China Personalization Engines 麻豆原创 Size by Application
8.3.1 China Personalization Engines 麻豆原创 Size by Application (2019-2024)
8.3.2 China Personalization Engines 麻豆原创 Size by Application (2025-2030)
8.3.3 China Personalization Engines 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Personalization Engines 麻豆原创 Size (2019-2030)
9.2 Asia Personalization Engines 麻豆原创 Size by Type
9.2.1 Asia Personalization Engines 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Personalization Engines 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Personalization Engines 麻豆原创 Share by Type (2019-2030)
9.3 Asia Personalization Engines 麻豆原创 Size by Application
9.3.1 Asia Personalization Engines 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Personalization Engines 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Personalization Engines 麻豆原创 Share by Application (2019-2030)
9.4 Asia Personalization Engines 麻豆原创 Size by Region
9.4.1 Asia Personalization Engines 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Personalization Engines 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Personalization Engines 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Personalization Engines 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Adobe
11.1.1 Adobe Company Details
11.1.2 Adobe Business Overview
11.1.3 Adobe Personalization Engines Introduction
11.1.4 Adobe Revenue in Personalization Engines Business (2019-2024)
11.1.5 Adobe Recent Developments
11.2 AgilOne
11.2.1 AgilOne Company Details
11.2.2 AgilOne Business Overview
11.2.3 AgilOne Personalization Engines Introduction
11.2.4 AgilOne Revenue in Personalization Engines Business (2019-2024)
11.2.5 AgilOne Recent Developments
11.3 Cheetah Digital
11.3.1 Cheetah Digital Company Details
11.3.2 Cheetah Digital Business Overview
11.3.3 Cheetah Digital Personalization Engines Introduction
11.3.4 Cheetah Digital Revenue in Personalization Engines Business (2019-2024)
11.3.5 Cheetah Digital Recent Developments
11.4 Emarsys
11.4.1 Emarsys Company Details
11.4.2 Emarsys Business Overview
11.4.3 Emarsys Personalization Engines Introduction
11.4.4 Emarsys Revenue in Personalization Engines Business (2019-2024)
11.4.5 Emarsys Recent Developments
11.5 Episerver
11.5.1 Episerver Company Details
11.5.2 Episerver Business Overview
11.5.3 Episerver Personalization Engines Introduction
11.5.4 Episerver Revenue in Personalization Engines Business (2019-2024)
11.5.5 Episerver Recent Developments
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM Personalization Engines Introduction
11.6.4 IBM Revenue in Personalization Engines Business (2019-2024)
11.6.5 IBM Recent Developments
11.7 Listrak
11.7.1 Listrak Company Details
11.7.2 Listrak Business Overview
11.7.3 Listrak Personalization Engines Introduction
11.7.4 Listrak Revenue in Personalization Engines Business (2019-2024)
11.7.5 Listrak Recent Developments
11.8 麻豆原创o
11.8.1 麻豆原创o Company Details
11.8.2 麻豆原创o Business Overview
11.8.3 麻豆原创o Personalization Engines Introduction
11.8.4 麻豆原创o Revenue in Personalization Engines Business (2019-2024)
11.8.5 麻豆原创o Recent Developments
11.9 Maropost
11.9.1 Maropost Company Details
11.9.2 Maropost Business Overview
11.9.3 Maropost Personalization Engines Introduction
11.9.4 Maropost Revenue in Personalization Engines Business (2019-2024)
11.9.5 Maropost Recent Developments
11.10 Optimove
11.10.1 Optimove Company Details
11.10.2 Optimove Business Overview
11.10.3 Optimove Personalization Engines Introduction
11.10.4 Optimove Revenue in Personalization Engines Business (2019-2024)
11.10.5 Optimove Recent Developments
11.11 Oracle
11.11.1 Oracle Company Details
11.11.2 Oracle Business Overview
11.11.3 Oracle Personalization Engines Introduction
11.11.4 Oracle Revenue in Personalization Engines Business (2019-2024)
11.11.5 Oracle Recent Developments
11.12 Pegasystems
11.12.1 Pegasystems Company Details
11.12.2 Pegasystems Business Overview
11.12.3 Pegasystems Personalization Engines Introduction
11.12.4 Pegasystems Revenue in Personalization Engines Business (2019-2024)
11.12.5 Pegasystems Recent Developments
11.13 RedPoint Global
11.13.1 RedPoint Global Company Details
11.13.2 RedPoint Global Business Overview
11.13.3 RedPoint Global Personalization Engines Introduction
11.13.4 RedPoint Global Revenue in Personalization Engines Business (2019-2024)
11.13.5 RedPoint Global Recent Developments
11.14 Resulticks
11.14.1 Resulticks Company Details
11.14.2 Resulticks Business Overview
11.14.3 Resulticks Personalization Engines Introduction
11.14.4 Resulticks Revenue in Personalization Engines Business (2019-2024)
11.14.5 Resulticks Recent Developments
11.15 Sailthru
11.15.1 Sailthru Company Details
11.15.2 Sailthru Business Overview
11.15.3 Sailthru Personalization Engines Introduction
11.15.4 Sailthru Revenue in Personalization Engines Business (2019-2024)
11.15.5 Sailthru Recent Developments
11.16 Salesforce
11.16.1 Salesforce Company Details
11.16.2 Salesforce Business Overview
11.16.3 Salesforce Personalization Engines Introduction
11.16.4 Salesforce Revenue in Personalization Engines Business (2019-2024)
11.16.5 Salesforce Recent Developments
11.17 SAP
11.17.1 SAP Company Details
11.17.2 SAP Business Overview
11.17.3 SAP Personalization Engines Introduction
11.17.4 SAP Revenue in Personalization Engines Business (2019-2024)
11.17.5 SAP Recent Developments
11.18 SAS
11.18.1 SAS Company Details
11.18.2 SAS Business Overview
11.18.3 SAS Personalization Engines Introduction
11.18.4 SAS Revenue in Personalization Engines Business (2019-2024)
11.18.5 SAS Recent Developments
11.19 Selligent 麻豆原创ing Cloud
11.19.1 Selligent 麻豆原创ing Cloud Company Details
11.19.2 Selligent 麻豆原创ing Cloud Business Overview
11.19.3 Selligent 麻豆原创ing Cloud Personalization Engines Introduction
11.19.4 Selligent 麻豆原创ing Cloud Revenue in Personalization Engines Business (2019-2024)
11.19.5 Selligent 麻豆原创ing Cloud Recent Developments
11.20 Sitecore
11.20.1 Sitecore Company Details
11.20.2 Sitecore Business Overview
11.20.3 Sitecore Personalization Engines Introduction
11.20.4 Sitecore Revenue in Personalization Engines Business (2019-2024)
11.20.5 Sitecore Recent Developments
11.21 Zeta
11.21.1 Zeta Company Details
11.21.2 Zeta Business Overview
11.21.3 Zeta Personalization Engines Introduction
11.21.4 Zeta Revenue in Personalization Engines Business (2019-2024)
11.21.5 Zeta Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Adobe
AgilOne
Cheetah Digital
Emarsys
Episerver
IBM
Listrak
麻豆原创o
Maropost
Optimove
Oracle
Pegasystems
RedPoint Global
Resulticks
Sailthru
Salesforce
SAP
SAS
Selligent 麻豆原创ing Cloud
Sitecore
Zeta
听
听
*If Applicable.
