
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 — 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.
Highlights
The global Personalization Engines market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Personalization Engines is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Personalization Engines is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Personalization Engines in B2B is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Personalization Engines include Adobe, AgilOne, Cheetah Digital, Emarsys, Episerver, IBM, Listrak, Marketo and Maropost, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Personalization Engines, 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 Engines.
The Personalization Engines market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Personalization Engines market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Personalization Engines companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
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
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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: Introduces executive summary of global market size, regional market size, 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’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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 Market Analysis by Type
1.2.1 Global Personalization Engines Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Websites
1.2.3 Mobile
1.2.4 Email
1.2.5 Others
1.3 Market by Application
1.3.1 Global Personalization Engines Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 B2B
1.3.3 B2C
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Personalization Engines Market Perspective (2018-2029)
2.2 Personalization Engines Growth Trends by Region
2.2.1 Global Personalization Engines Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Personalization Engines Historic Market Size by Region (2018-2023)
2.2.3 Personalization Engines Forecasted Market Size by Region (2024-2029)
2.3 Personalization Engines Market Dynamics
2.3.1 Personalization Engines Industry Trends
2.3.2 Personalization Engines Market Drivers
2.3.3 Personalization Engines Market Challenges
2.3.4 Personalization Engines Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Personalization Engines Players by Revenue
3.1.1 Global Top Personalization Engines Players by Revenue (2018-2023)
3.1.2 Global Personalization Engines Revenue Market Share by Players (2018-2023)
3.2 Global Personalization Engines Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Personalization Engines Revenue
3.4 Global Personalization Engines Market Concentration Ratio
3.4.1 Global Personalization Engines Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Personalization Engines Revenue in 2022
3.5 Personalization Engines Key Players Head office and Area Served
3.6 Key Players Personalization Engines Product Solution and Service
3.7 Date of Enter into Personalization Engines Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Personalization Engines Breakdown Data by Type
4.1 Global Personalization Engines Historic Market Size by Type (2018-2023)
4.2 Global Personalization Engines Forecasted Market Size by Type (2024-2029)
5 Personalization Engines Breakdown Data by Application
5.1 Global Personalization Engines Historic Market Size by Application (2018-2023)
5.2 Global Personalization Engines Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Personalization Engines Market Size (2018-2029)
6.2 North America Personalization Engines Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Personalization Engines Market Size by Country (2018-2023)
6.4 North America Personalization Engines Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Personalization Engines Market Size (2018-2029)
7.2 Europe Personalization Engines Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Personalization Engines Market Size by Country (2018-2023)
7.4 Europe Personalization Engines Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Personalization Engines Market Size (2018-2029)
8.2 Asia-Pacific Personalization Engines Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Personalization Engines Market Size by Region (2018-2023)
8.4 Asia-Pacific Personalization Engines Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Personalization Engines Market Size (2018-2029)
9.2 Latin America Personalization Engines Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Personalization Engines Market Size by Country (2018-2023)
9.4 Latin America Personalization Engines Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Personalization Engines Market Size (2018-2029)
10.2 Middle East & Africa Personalization Engines Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Personalization Engines Market Size by Country (2018-2023)
10.4 Middle East & Africa Personalization Engines Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Adobe
11.1.1 Adobe Company Detail
11.1.2 Adobe Business Overview
11.1.3 Adobe Personalization Engines Introduction
11.1.4 Adobe Revenue in Personalization Engines Business (2018-2023)
11.1.5 Adobe Recent Development
11.2 AgilOne
11.2.1 AgilOne Company Detail
11.2.2 AgilOne Business Overview
11.2.3 AgilOne Personalization Engines Introduction
11.2.4 AgilOne Revenue in Personalization Engines Business (2018-2023)
11.2.5 AgilOne Recent Development
11.3 Cheetah Digital
11.3.1 Cheetah Digital Company Detail
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 (2018-2023)
11.3.5 Cheetah Digital Recent Development
11.4 Emarsys
11.4.1 Emarsys Company Detail
11.4.2 Emarsys Business Overview
11.4.3 Emarsys Personalization Engines Introduction
11.4.4 Emarsys Revenue in Personalization Engines Business (2018-2023)
11.4.5 Emarsys Recent Development
11.5 Episerver
11.5.1 Episerver Company Detail
11.5.2 Episerver Business Overview
11.5.3 Episerver Personalization Engines Introduction
11.5.4 Episerver Revenue in Personalization Engines Business (2018-2023)
11.5.5 Episerver Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Personalization Engines Introduction
11.6.4 IBM Revenue in Personalization Engines Business (2018-2023)
11.6.5 IBM Recent Development
11.7 Listrak
11.7.1 Listrak Company Detail
11.7.2 Listrak Business Overview
11.7.3 Listrak Personalization Engines Introduction
11.7.4 Listrak Revenue in Personalization Engines Business (2018-2023)
11.7.5 Listrak Recent Development
11.8 Marketo
11.8.1 Marketo Company Detail
11.8.2 Marketo Business Overview
11.8.3 Marketo Personalization Engines Introduction
11.8.4 Marketo Revenue in Personalization Engines Business (2018-2023)
11.8.5 Marketo Recent Development
11.9 Maropost
11.9.1 Maropost Company Detail
11.9.2 Maropost Business Overview
11.9.3 Maropost Personalization Engines Introduction
11.9.4 Maropost Revenue in Personalization Engines Business (2018-2023)
11.9.5 Maropost Recent Development
11.10 Optimove
11.10.1 Optimove Company Detail
11.10.2 Optimove Business Overview
11.10.3 Optimove Personalization Engines Introduction
11.10.4 Optimove Revenue in Personalization Engines Business (2018-2023)
11.10.5 Optimove Recent Development
11.11 Oracle
11.11.1 Oracle Company Detail
11.11.2 Oracle Business Overview
11.11.3 Oracle Personalization Engines Introduction
11.11.4 Oracle Revenue in Personalization Engines Business (2018-2023)
11.11.5 Oracle Recent Development
11.12 Pegasystems
11.12.1 Pegasystems Company Detail
11.12.2 Pegasystems Business Overview
11.12.3 Pegasystems Personalization Engines Introduction
11.12.4 Pegasystems Revenue in Personalization Engines Business (2018-2023)
11.12.5 Pegasystems Recent Development
11.13 RedPoint Global
11.13.1 RedPoint Global Company Detail
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 (2018-2023)
11.13.5 RedPoint Global Recent Development
11.14 Resulticks
11.14.1 Resulticks Company Detail
11.14.2 Resulticks Business Overview
11.14.3 Resulticks Personalization Engines Introduction
11.14.4 Resulticks Revenue in Personalization Engines Business (2018-2023)
11.14.5 Resulticks Recent Development
11.15 Sailthru
11.15.1 Sailthru Company Detail
11.15.2 Sailthru Business Overview
11.15.3 Sailthru Personalization Engines Introduction
11.15.4 Sailthru Revenue in Personalization Engines Business (2018-2023)
11.15.5 Sailthru Recent Development
11.16 Salesforce
11.16.1 Salesforce Company Detail
11.16.2 Salesforce Business Overview
11.16.3 Salesforce Personalization Engines Introduction
11.16.4 Salesforce Revenue in Personalization Engines Business (2018-2023)
11.16.5 Salesforce Recent Development
11.17 SAP
11.17.1 SAP Company Detail
11.17.2 SAP Business Overview
11.17.3 SAP Personalization Engines Introduction
11.17.4 SAP Revenue in Personalization Engines Business (2018-2023)
11.17.5 SAP Recent Development
11.18 SAS
11.18.1 SAS Company Detail
11.18.2 SAS Business Overview
11.18.3 SAS Personalization Engines Introduction
11.18.4 SAS Revenue in Personalization Engines Business (2018-2023)
11.18.5 SAS Recent Development
11.19 Selligent Marketing Cloud
11.19.1 Selligent Marketing Cloud Company Detail
11.19.2 Selligent Marketing Cloud Business Overview
11.19.3 Selligent Marketing Cloud Personalization Engines Introduction
11.19.4 Selligent Marketing Cloud Revenue in Personalization Engines Business (2018-2023)
11.19.5 Selligent Marketing Cloud Recent Development
11.20 Sitecore
11.20.1 Sitecore Company Detail
11.20.2 Sitecore Business Overview
11.20.3 Sitecore Personalization Engines Introduction
11.20.4 Sitecore Revenue in Personalization Engines Business (2018-2023)
11.20.5 Sitecore Recent Development
11.21 Zeta
11.21.1 Zeta Company Detail
11.21.2 Zeta Business Overview
11.21.3 Zeta Personalization Engines Introduction
11.21.4 Zeta Revenue in Personalization Engines Business (2018-2023)
11.21.5 Zeta Recent Development
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
Marketo
Maropost
Optimove
Oracle
Pegasystems
RedPoint Global
Resulticks
Sailthru
Salesforce
SAP
SAS
Selligent Marketing Cloud
Sitecore
Zeta
Ìý
Ìý
*If Applicable.
