Personalization Engines Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509249143

Publication Date:

September 26, 2024

Pages:

107

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Personalization Engines Software refers to a category of technology solutions designed to analyze user behavior, preferences, and historical data to deliver tailored and relevant content, recommendations, or experiences to individuals. It's commonly used in various industries, such as e-commerce, media, marketing, and online services, to enhance customer engagement, improve user experience, and drive conversions.

This software utilizes algorithms, machine learning, and data analytics to gather insights from user interactions and patterns. By understanding user preferences, browsing history, purchase behavior, and other relevant data points, personalization engines generate personalized content and recommendations. These could include product recommendations, content suggestions, targeted advertisements, and even website layout adjustments.
The global market for Personalization Engines Software was estimated to be worth US$ 889 million in 2023 and is forecast to a readjusted size of US$ 1506 million by 2030 with a CAGR of 7.7% during the forecast period 2024-2030
Industry Trends of Personalization Engines Software:
Personalization engines software continues to be a crucial component of digital transformation strategies for businesses. Several trends have been shaping the industry:

Hyper-Personalization: The trend toward delivering highly individualized experiences has grown stronger. Personalization engines are becoming more sophisticated in leveraging real-time data and AI-driven insights to create tailored experiences that match user preferences and behaviors.

Omnichannel Personalization: With customers engaging across multiple channels, including websites, mobile apps, social media, and physical stores, personalization engines are being integrated into omnichannel strategies. This enables consistent and personalized experiences across all touchpoints.

AI and Machine Learning Advancements: Continued advancements in AI and machine learning have empowered personalization engines to process vast amounts of data and identify nuanced patterns. This leads to more accurate recommendations and predictions.

Privacy and Data Regulation: As data privacy regulations evolve, such as GDPR and CCPA, the industry is placing greater emphasis on ensuring that personalization strategies are compliant with these regulations while still providing value to users.

Dynamic Content Personalization: Personalization is extending beyond product recommendations to include dynamic content personalization, where website layouts, visuals, and messaging are adapted in real-time based on user behavior.

Integration with Marketing Automation: Integration between personalization engines and marketing automation platforms is growing, enabling businesses to deliver personalized content as part of larger marketing campaigns.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Personalization Engines Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Personalization Engines Software by region & country, by Type, and by Application.
The Personalization Engines Software 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 Engines Software.
Market Segmentation
By Company
Optimizely
Evergage
Dynamic Yield
Qubit
Zeta
VWO Insights
AddShoppers
BrightInfo
SmarterHQ
Oracle Maxymiser
Acoustic Personalization
AB Tasty
Segment by Type:
Cloud Based
Web Based
Segment by Application
SMEs
Large Enterprises
By Region
North America
U.S.
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
U.A.E
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 Engines Software 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 Engines Software 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 Engines Software 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Personalization Engines Software Product Introduction
1.2 Global Personalization Engines Software Market Size Forecast
1.3 Personalization Engines Software Market Trends & Drivers
1.3.1 Personalization Engines Software Industry Trends
1.3.2 Personalization Engines Software Market Drivers & Opportunity
1.3.3 Personalization Engines Software Market Challenges
1.3.4 Personalization Engines Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Personalization Engines Software Players Revenue Ranking (2023)
2.2 Global Personalization Engines Software Revenue by Company (2019-2024)
2.3 Key Companies Personalization Engines Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Personalization Engines Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Personalization Engines Software
2.6 Personalization Engines Software Market Competitive Analysis
2.6.1 Personalization Engines Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Personalization Engines Software 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 Engines Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 Web Based
3.2 Global Personalization Engines Software Sales Value by Type
3.2.1 Global Personalization Engines Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Personalization Engines Software Sales Value, by Type (2019-2030)
3.2.3 Global Personalization Engines Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 SMEs
4.1.2 Large Enterprises
4.2 Global Personalization Engines Software Sales Value by Application
4.2.1 Global Personalization Engines Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Personalization Engines Software Sales Value, by Application (2019-2030)
4.2.3 Global Personalization Engines Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Personalization Engines Software Sales Value by Region
5.1.1 Global Personalization Engines Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Personalization Engines Software Sales Value by Region (2019-2024)
5.1.3 Global Personalization Engines Software Sales Value by Region (2025-2030)
5.1.4 Global Personalization Engines Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Personalization Engines Software Sales Value, 2019-2030
5.2.2 North America Personalization Engines Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Personalization Engines Software Sales Value, 2019-2030
5.3.2 Europe Personalization Engines Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Personalization Engines Software Sales Value, 2019-2030
5.4.2 Asia Pacific Personalization Engines Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Personalization Engines Software Sales Value, 2019-2030
5.5.2 South America Personalization Engines Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Personalization Engines Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Personalization Engines Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Personalization Engines Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Personalization Engines Software Sales Value
6.3 United States
6.3.1 United States Personalization Engines Software Sales Value, 2019-2030
6.3.2 United States Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Personalization Engines Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Personalization Engines Software Sales Value, 2019-2030
6.4.2 Europe Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Personalization Engines Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Personalization Engines Software Sales Value, 2019-2030
6.5.2 China Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Personalization Engines Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Personalization Engines Software Sales Value, 2019-2030
6.6.2 Japan Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Personalization Engines Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Personalization Engines Software Sales Value, 2019-2030
6.7.2 South Korea Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Personalization Engines Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Personalization Engines Software Sales Value, 2019-2030
6.8.2 Southeast Asia Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Personalization Engines Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Personalization Engines Software Sales Value, 2019-2030
6.9.2 India Personalization Engines Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Personalization Engines Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Optimizely
7.1.1 Optimizely Profile
7.1.2 Optimizely Main Business
7.1.3 Optimizely Personalization Engines Software Products, Services and Solutions
7.1.4 Optimizely Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.1.5 Optimizely Recent Developments
7.2 Evergage
7.2.1 Evergage Profile
7.2.2 Evergage Main Business
7.2.3 Evergage Personalization Engines Software Products, Services and Solutions
7.2.4 Evergage Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.2.5 Evergage Recent Developments
7.3 Dynamic Yield
7.3.1 Dynamic Yield Profile
7.3.2 Dynamic Yield Main Business
7.3.3 Dynamic Yield Personalization Engines Software Products, Services and Solutions
7.3.4 Dynamic Yield Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.3.5 Qubit Recent Developments
7.4 Qubit
7.4.1 Qubit Profile
7.4.2 Qubit Main Business
7.4.3 Qubit Personalization Engines Software Products, Services and Solutions
7.4.4 Qubit Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.4.5 Qubit Recent Developments
7.5 Zeta
7.5.1 Zeta Profile
7.5.2 Zeta Main Business
7.5.3 Zeta Personalization Engines Software Products, Services and Solutions
7.5.4 Zeta Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.5.5 Zeta Recent Developments
7.6 VWO Insights
7.6.1 VWO Insights Profile
7.6.2 VWO Insights Main Business
7.6.3 VWO Insights Personalization Engines Software Products, Services and Solutions
7.6.4 VWO Insights Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.6.5 VWO Insights Recent Developments
7.7 AddShoppers
7.7.1 AddShoppers Profile
7.7.2 AddShoppers Main Business
7.7.3 AddShoppers Personalization Engines Software Products, Services and Solutions
7.7.4 AddShoppers Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.7.5 AddShoppers Recent Developments
7.8 BrightInfo
7.8.1 BrightInfo Profile
7.8.2 BrightInfo Main Business
7.8.3 BrightInfo Personalization Engines Software Products, Services and Solutions
7.8.4 BrightInfo Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.8.5 BrightInfo Recent Developments
7.9 SmarterHQ
7.9.1 SmarterHQ Profile
7.9.2 SmarterHQ Main Business
7.9.3 SmarterHQ Personalization Engines Software Products, Services and Solutions
7.9.4 SmarterHQ Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.9.5 SmarterHQ Recent Developments
7.10 Oracle Maxymiser
7.10.1 Oracle Maxymiser Profile
7.10.2 Oracle Maxymiser Main Business
7.10.3 Oracle Maxymiser Personalization Engines Software Products, Services and Solutions
7.10.4 Oracle Maxymiser Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.10.5 Oracle Maxymiser Recent Developments
7.11 Acoustic Personalization
7.11.1 Acoustic Personalization Profile
7.11.2 Acoustic Personalization Main Business
7.11.3 Acoustic Personalization Personalization Engines Software Products, Services and Solutions
7.11.4 Acoustic Personalization Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.11.5 Acoustic Personalization Recent Developments
7.12 AB Tasty
7.12.1 AB Tasty Profile
7.12.2 AB Tasty Main Business
7.12.3 AB Tasty Personalization Engines Software Products, Services and Solutions
7.12.4 AB Tasty Personalization Engines Software Revenue (US$ Million) & (2019-2024)
7.12.5 AB Tasty Recent Developments
8 Industry Chain Analysis
8.1 Personalization Engines Software Industrial Chain
8.2 Personalization Engines Software 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 Engines Software Sales Model
8.5.2 Sales Channel
8.5.3 Personalization Engines Software 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

Companies Mentioned:

Optimizely
Evergage
Dynamic Yield
Qubit
Zeta
VWO Insights
AddShoppers
BrightInfo
SmarterHQ
Oracle Maxymiser
Acoustic Personalization
AB Tasty

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