
Personalization engines, sometimes called digital personalization engines, analyze customer data collected from outside software or from customer behavior to curate and tailor customer experiences including automated marketing efforts, websites, and product recommendations.Ìý
The global Personalization Engines Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Personalization Engines Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Personalization Engines Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Personalization Engines Software in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Personalization Engines Software include Optimizely, Oracle, Evergage, Wingify, Dynamic Yield, Qubit, ZETA, BrightInfo and AddShoppers, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Personalization Engines Software, 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 Software.
Report Scope
The Personalization Engines Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Personalization Engines Software 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 Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Optimizely
Oracle
Evergage
Wingify
Dynamic Yield
Qubit
ZETA
BrightInfo
AddShoppers
SmarterHQ
Acoustic
Acquia
DynaSys Solutions
Recolize
Multiway Creative
Segment by Type
On-premise
Cloud-based
Segment by Application
Large Enterprises
SMEs
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Software 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 main companies in the market in detail, including product sales, revenue, price, 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 Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Personalization Engines Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Personalization Engines Software Market Perspective (2019-2030)
2.2 Personalization Engines Software Growth Trends by Region
2.2.1 Global Personalization Engines Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Personalization Engines Software Historic Market Size by Region (2019-2024)
2.2.3 Personalization Engines Software Forecasted Market Size by Region (2025-2030)
2.3 Personalization Engines Software Market Dynamics
2.3.1 Personalization Engines Software Industry Trends
2.3.2 Personalization Engines Software Market Drivers
2.3.3 Personalization Engines Software Market Challenges
2.3.4 Personalization Engines Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Personalization Engines Software Players by Revenue
3.1.1 Global Top Personalization Engines Software Players by Revenue (2019-2024)
3.1.2 Global Personalization Engines Software Revenue Market Share by Players (2019-2024)
3.2 Global Personalization Engines Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Personalization Engines Software Revenue
3.4 Global Personalization Engines Software Market Concentration Ratio
3.4.1 Global Personalization Engines Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Personalization Engines Software Revenue in 2023
3.5 Personalization Engines Software Key Players Head office and Area Served
3.6 Key Players Personalization Engines Software Product Solution and Service
3.7 Date of Enter into Personalization Engines Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Personalization Engines Software Breakdown Data by Type
4.1 Global Personalization Engines Software Historic Market Size by Type (2019-2024)
4.2 Global Personalization Engines Software Forecasted Market Size by Type (2025-2030)
5 Personalization Engines Software Breakdown Data by Application
5.1 Global Personalization Engines Software Historic Market Size by Application (2019-2024)
5.2 Global Personalization Engines Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Personalization Engines Software Market Size (2019-2030)
6.2 North America Personalization Engines Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Personalization Engines Software Market Size by Country (2019-2024)
6.4 North America Personalization Engines Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Personalization Engines Software Market Size (2019-2030)
7.2 Europe Personalization Engines Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Personalization Engines Software Market Size by Country (2019-2024)
7.4 Europe Personalization Engines Software Market Size by Country (2025-2030)
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 Software Market Size (2019-2030)
8.2 Asia-Pacific Personalization Engines Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Personalization Engines Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Personalization Engines Software Market Size by Region (2025-2030)
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 Software Market Size (2019-2030)
9.2 Latin America Personalization Engines Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Personalization Engines Software Market Size by Country (2019-2024)
9.4 Latin America Personalization Engines Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Personalization Engines Software Market Size (2019-2030)
10.2 Middle East & Africa Personalization Engines Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Personalization Engines Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Personalization Engines Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Optimizely
11.1.1 Optimizely Company Detail
11.1.2 Optimizely Business Overview
11.1.3 Optimizely Personalization Engines Software Introduction
11.1.4 Optimizely Revenue in Personalization Engines Software Business (2019-2024)
11.1.5 Optimizely Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Personalization Engines Software Introduction
11.2.4 Oracle Revenue in Personalization Engines Software Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 Evergage
11.3.1 Evergage Company Detail
11.3.2 Evergage Business Overview
11.3.3 Evergage Personalization Engines Software Introduction
11.3.4 Evergage Revenue in Personalization Engines Software Business (2019-2024)
11.3.5 Evergage Recent Development
11.4 Wingify
11.4.1 Wingify Company Detail
11.4.2 Wingify Business Overview
11.4.3 Wingify Personalization Engines Software Introduction
11.4.4 Wingify Revenue in Personalization Engines Software Business (2019-2024)
11.4.5 Wingify Recent Development
11.5 Dynamic Yield
11.5.1 Dynamic Yield Company Detail
11.5.2 Dynamic Yield Business Overview
11.5.3 Dynamic Yield Personalization Engines Software Introduction
11.5.4 Dynamic Yield Revenue in Personalization Engines Software Business (2019-2024)
11.5.5 Dynamic Yield Recent Development
11.6 Qubit
11.6.1 Qubit Company Detail
11.6.2 Qubit Business Overview
11.6.3 Qubit Personalization Engines Software Introduction
11.6.4 Qubit Revenue in Personalization Engines Software Business (2019-2024)
11.6.5 Qubit Recent Development
11.7 ZETA
11.7.1 ZETA Company Detail
11.7.2 ZETA Business Overview
11.7.3 ZETA Personalization Engines Software Introduction
11.7.4 ZETA Revenue in Personalization Engines Software Business (2019-2024)
11.7.5 ZETA Recent Development
11.8 BrightInfo
11.8.1 BrightInfo Company Detail
11.8.2 BrightInfo Business Overview
11.8.3 BrightInfo Personalization Engines Software Introduction
11.8.4 BrightInfo Revenue in Personalization Engines Software Business (2019-2024)
11.8.5 BrightInfo Recent Development
11.9 AddShoppers
11.9.1 AddShoppers Company Detail
11.9.2 AddShoppers Business Overview
11.9.3 AddShoppers Personalization Engines Software Introduction
11.9.4 AddShoppers Revenue in Personalization Engines Software Business (2019-2024)
11.9.5 AddShoppers Recent Development
11.10 SmarterHQ
11.10.1 SmarterHQ Company Detail
11.10.2 SmarterHQ Business Overview
11.10.3 SmarterHQ Personalization Engines Software Introduction
11.10.4 SmarterHQ Revenue in Personalization Engines Software Business (2019-2024)
11.10.5 SmarterHQ Recent Development
11.11 Acoustic
11.11.1 Acoustic Company Detail
11.11.2 Acoustic Business Overview
11.11.3 Acoustic Personalization Engines Software Introduction
11.11.4 Acoustic Revenue in Personalization Engines Software Business (2019-2024)
11.11.5 Acoustic Recent Development
11.12 Acquia
11.12.1 Acquia Company Detail
11.12.2 Acquia Business Overview
11.12.3 Acquia Personalization Engines Software Introduction
11.12.4 Acquia Revenue in Personalization Engines Software Business (2019-2024)
11.12.5 Acquia Recent Development
11.13 DynaSys Solutions
11.13.1 DynaSys Solutions Company Detail
11.13.2 DynaSys Solutions Business Overview
11.13.3 DynaSys Solutions Personalization Engines Software Introduction
11.13.4 DynaSys Solutions Revenue in Personalization Engines Software Business (2019-2024)
11.13.5 DynaSys Solutions Recent Development
11.14 Recolize
11.14.1 Recolize Company Detail
11.14.2 Recolize Business Overview
11.14.3 Recolize Personalization Engines Software Introduction
11.14.4 Recolize Revenue in Personalization Engines Software Business (2019-2024)
11.14.5 Recolize Recent Development
11.15 Multiway Creative
11.15.1 Multiway Creative Company Detail
11.15.2 Multiway Creative Business Overview
11.15.3 Multiway Creative Personalization Engines Software Introduction
11.15.4 Multiway Creative Revenue in Personalization Engines Software Business (2019-2024)
11.15.5 Multiway Creative 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
Optimizely
Oracle
Evergage
Wingify
Dynamic Yield
Qubit
ZETA
BrightInfo
AddShoppers
SmarterHQ
Acoustic
Acquia
DynaSys Solutions
Recolize
Multiway Creative
Ìý
Ìý
*If Applicable.
