Global E-Commerce Personalization Software

E-Commerce Personalization Software Comprehensive Study by Platform (Web, Mobile), Deployment (Cloud-Based, On-Premise), Pricing Model (Free Trial, Monthly Subscription, Annual Subscription, One-Time License) Players and Region - Global Market Outlook to 2028

E-Commerce Personalization Software Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About E-Commerce Personalization Software
E-commerce personalization software is software that helps to create experiences tailored to consumers who shop online using e-commerce tools. This software gathers user behavior in real-time across multiple channels and provides personalized messaging to help users discover and buy products or services. This type of software is used by marketers and e-commerce professionals to grow their online sales. By implementing these strategies, e-commerce businesses can leverage the power of personalization software to improve customer engagement, increase conversions, and drive sustainable growth in this booming market.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


The companies are exploring the market by adopting expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions across the globe to gain a competitive advantage through combined collaborations. Analyst at AMA Research estimates that United Kingdom Players will contribute the maximum growth to Global E-Commerce Personalization Software market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

OptinMonster (United States), Monetate (United States), Barilliance Ltd. (United States), Evergage (United States), Dynamic Yield (United States), RichRelevance (United States), Salesforce.com, Inc. (United States), Apptus Technologies AB (Sweden) and Attraqt Limited (United Kingdom) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Personyze (Israel), Pure360 (United Kingdom), CloudEngage, Inc. (United States), GeoFli (United States) and LiveChat Software (Poland).

Segmentation Overview
AMA Research has segmented the market of Global E-Commerce Personalization Software market by and Region.



On the basis of geography, the market of E-Commerce Personalization Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Platform, the sub-segment i.e. Web will boost the E-Commerce Personalization Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment, the sub-segment i.e. Cloud-Based will boost the E-Commerce Personalization Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Pricing Model, the sub-segment i.e. Free Trial will boost the E-Commerce Personalization Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Increased Penetration of the Internet

Market Growth Drivers:
Increased Number of Online Customers and Increased Disposable Income of the People in Developing Regions

Challenges:
Lack of Skilled IT Professionals

Restraints:
Technological Complexities Associated with E-Commerce Personalization Software

Opportunities:
Rise in the Adoption of Cloud-based Solutions

Market Leaders and their expansionary development strategies
In October 26, 2023: Monetate and Salesforce partnered to integrate Monetate's personalization platform with Salesforce Marketing Cloud, allowing seamless personalization across email marketing, web experiences, and mobile apps.
In October 2023, Merkety Launches Marketplace Personalization Suit this may be the closest match to "marekt" as Merkety recently launched a new personalization suite specifically designed for marketplaces. It leverages AI and machine learning to personalize product recommendations, offers, and content for individual shoppers within online marketplaces.


Key Target Audience
E-Commerce Personalization Software Developers, Emerging Companies, Research Professionals and End-users

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Platform
  • Web
  • Mobile

By Deployment
  • Cloud-Based
  • On-Premise

By Pricing Model
  • Free Trial
  • Monthly Subscription
  • Annual Subscription
  • One-Time License

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increased Number of Online Customers
      • 3.2.2. Increased Disposable Income of the People in Developing Regions
    • 3.3. Market Challenges
      • 3.3.1. Lack of Skilled IT Professionals
    • 3.4. Market Trends
      • 3.4.1. Increased Penetration of the Internet
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global E-Commerce Personalization Software, by Platform, Deployment, Pricing Model and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global E-Commerce Personalization Software (Value)
      • 5.2.1. Global E-Commerce Personalization Software by: Platform (Value)
        • 5.2.1.1. Web
        • 5.2.1.2. Mobile
      • 5.2.2. Global E-Commerce Personalization Software by: Deployment (Value)
        • 5.2.2.1. Cloud-Based
        • 5.2.2.2. On-Premise
      • 5.2.3. Global E-Commerce Personalization Software by: Pricing Model (Value)
        • 5.2.3.1. Free Trial
        • 5.2.3.2. Monthly Subscription
        • 5.2.3.3. Annual Subscription
        • 5.2.3.4. One-Time License
      • 5.2.4. Global E-Commerce Personalization Software Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. E-Commerce Personalization Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. OptinMonster (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Monetate (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Barilliance Ltd. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Evergage (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Dynamic Yield (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. RichRelevance (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Salesforce.com, Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Apptus Technologies AB (Sweden)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Attraqt Limited (United Kingdom)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
  • 7. Global E-Commerce Personalization Software Sale, by Platform, Deployment, Pricing Model and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global E-Commerce Personalization Software (Value)
      • 7.2.1. Global E-Commerce Personalization Software by: Platform (Value)
        • 7.2.1.1. Web
        • 7.2.1.2. Mobile
      • 7.2.2. Global E-Commerce Personalization Software by: Deployment (Value)
        • 7.2.2.1. Cloud-Based
        • 7.2.2.2. On-Premise
      • 7.2.3. Global E-Commerce Personalization Software by: Pricing Model (Value)
        • 7.2.3.1. Free Trial
        • 7.2.3.2. Monthly Subscription
        • 7.2.3.3. Annual Subscription
        • 7.2.3.4. One-Time License
      • 7.2.4. Global E-Commerce Personalization Software Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. E-Commerce Personalization Software: by Platform(USD Million)
  • Table 2. E-Commerce Personalization Software Web , by Region USD Million (2017-2022)
  • Table 3. E-Commerce Personalization Software Mobile , by Region USD Million (2017-2022)
  • Table 4. E-Commerce Personalization Software: by Deployment(USD Million)
  • Table 5. E-Commerce Personalization Software Cloud-Based , by Region USD Million (2017-2022)
  • Table 6. E-Commerce Personalization Software On-Premise , by Region USD Million (2017-2022)
  • Table 7. E-Commerce Personalization Software: by Pricing Model(USD Million)
  • Table 8. E-Commerce Personalization Software Free Trial , by Region USD Million (2017-2022)
  • Table 9. E-Commerce Personalization Software Monthly Subscription , by Region USD Million (2017-2022)
  • Table 10. E-Commerce Personalization Software Annual Subscription , by Region USD Million (2017-2022)
  • Table 11. E-Commerce Personalization Software One-Time License , by Region USD Million (2017-2022)
  • Table 12. South America E-Commerce Personalization Software, by Country USD Million (2017-2022)
  • Table 13. South America E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 14. South America E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 15. South America E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 16. Brazil E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 17. Brazil E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 18. Brazil E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 19. Argentina E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 20. Argentina E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 21. Argentina E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 22. Rest of South America E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 23. Rest of South America E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 24. Rest of South America E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 25. Asia Pacific E-Commerce Personalization Software, by Country USD Million (2017-2022)
  • Table 26. Asia Pacific E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 27. Asia Pacific E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 28. Asia Pacific E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 29. China E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 30. China E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 31. China E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 32. Japan E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 33. Japan E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 34. Japan E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 35. India E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 36. India E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 37. India E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 38. South Korea E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 39. South Korea E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 40. South Korea E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 41. Taiwan E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 42. Taiwan E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 43. Taiwan E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 44. Australia E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 45. Australia E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 46. Australia E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 47. Rest of Asia-Pacific E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 48. Rest of Asia-Pacific E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 49. Rest of Asia-Pacific E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 50. Europe E-Commerce Personalization Software, by Country USD Million (2017-2022)
  • Table 51. Europe E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 52. Europe E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 53. Europe E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 54. Germany E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 55. Germany E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 56. Germany E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 57. France E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 58. France E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 59. France E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 60. Italy E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 61. Italy E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 62. Italy E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 63. United Kingdom E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 64. United Kingdom E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 65. United Kingdom E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 66. Netherlands E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 67. Netherlands E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 68. Netherlands E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 69. Rest of Europe E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 70. Rest of Europe E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 71. Rest of Europe E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 72. MEA E-Commerce Personalization Software, by Country USD Million (2017-2022)
  • Table 73. MEA E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 74. MEA E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 75. MEA E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 76. Middle East E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 77. Middle East E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 78. Middle East E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 79. Africa E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 80. Africa E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 81. Africa E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 82. North America E-Commerce Personalization Software, by Country USD Million (2017-2022)
  • Table 83. North America E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 84. North America E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 85. North America E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 86. United States E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 87. United States E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 88. United States E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 89. Canada E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 90. Canada E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 91. Canada E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 92. Mexico E-Commerce Personalization Software, by Platform USD Million (2017-2022)
  • Table 93. Mexico E-Commerce Personalization Software, by Deployment USD Million (2017-2022)
  • Table 94. Mexico E-Commerce Personalization Software, by Pricing Model USD Million (2017-2022)
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. E-Commerce Personalization Software: by Platform(USD Million)
  • Table 105. E-Commerce Personalization Software Web , by Region USD Million (2023-2028)
  • Table 106. E-Commerce Personalization Software Mobile , by Region USD Million (2023-2028)
  • Table 107. E-Commerce Personalization Software: by Deployment(USD Million)
  • Table 108. E-Commerce Personalization Software Cloud-Based , by Region USD Million (2023-2028)
  • Table 109. E-Commerce Personalization Software On-Premise , by Region USD Million (2023-2028)
  • Table 110. E-Commerce Personalization Software: by Pricing Model(USD Million)
  • Table 111. E-Commerce Personalization Software Free Trial , by Region USD Million (2023-2028)
  • Table 112. E-Commerce Personalization Software Monthly Subscription , by Region USD Million (2023-2028)
  • Table 113. E-Commerce Personalization Software Annual Subscription , by Region USD Million (2023-2028)
  • Table 114. E-Commerce Personalization Software One-Time License , by Region USD Million (2023-2028)
  • Table 115. South America E-Commerce Personalization Software, by Country USD Million (2023-2028)
  • Table 116. South America E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 117. South America E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 118. South America E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 119. Brazil E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 120. Brazil E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 121. Brazil E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 122. Argentina E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 123. Argentina E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 124. Argentina E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 125. Rest of South America E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 126. Rest of South America E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 127. Rest of South America E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 128. Asia Pacific E-Commerce Personalization Software, by Country USD Million (2023-2028)
  • Table 129. Asia Pacific E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 130. Asia Pacific E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 131. Asia Pacific E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 132. China E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 133. China E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 134. China E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 135. Japan E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 136. Japan E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 137. Japan E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 138. India E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 139. India E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 140. India E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 141. South Korea E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 142. South Korea E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 143. South Korea E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 144. Taiwan E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 145. Taiwan E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 146. Taiwan E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 147. Australia E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 148. Australia E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 149. Australia E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 150. Rest of Asia-Pacific E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 151. Rest of Asia-Pacific E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 152. Rest of Asia-Pacific E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 153. Europe E-Commerce Personalization Software, by Country USD Million (2023-2028)
  • Table 154. Europe E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 155. Europe E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 156. Europe E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 157. Germany E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 158. Germany E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 159. Germany E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 160. France E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 161. France E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 162. France E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 163. Italy E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 164. Italy E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 165. Italy E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 166. United Kingdom E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 167. United Kingdom E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 168. United Kingdom E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 169. Netherlands E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 170. Netherlands E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 171. Netherlands E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 172. Rest of Europe E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 173. Rest of Europe E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 174. Rest of Europe E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 175. MEA E-Commerce Personalization Software, by Country USD Million (2023-2028)
  • Table 176. MEA E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 177. MEA E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 178. MEA E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 179. Middle East E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 180. Middle East E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 181. Middle East E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 182. Africa E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 183. Africa E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 184. Africa E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 185. North America E-Commerce Personalization Software, by Country USD Million (2023-2028)
  • Table 186. North America E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 187. North America E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 188. North America E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 189. United States E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 190. United States E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 191. United States E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 192. Canada E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 193. Canada E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 194. Canada E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 195. Mexico E-Commerce Personalization Software, by Platform USD Million (2023-2028)
  • Table 196. Mexico E-Commerce Personalization Software, by Deployment USD Million (2023-2028)
  • Table 197. Mexico E-Commerce Personalization Software, by Pricing Model USD Million (2023-2028)
  • Table 198. Research Programs/Design for This Report
  • Table 199. Key Data Information from Secondary Sources
  • Table 200. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global E-Commerce Personalization Software: by Platform USD Million (2017-2022)
  • Figure 5. Global E-Commerce Personalization Software: by Deployment USD Million (2017-2022)
  • Figure 6. Global E-Commerce Personalization Software: by Pricing Model USD Million (2017-2022)
  • Figure 7. South America E-Commerce Personalization Software Share (%), by Country
  • Figure 8. Asia Pacific E-Commerce Personalization Software Share (%), by Country
  • Figure 9. Europe E-Commerce Personalization Software Share (%), by Country
  • Figure 10. MEA E-Commerce Personalization Software Share (%), by Country
  • Figure 11. North America E-Commerce Personalization Software Share (%), by Country
  • Figure 12. Global E-Commerce Personalization Software share by Players 2022 (%)
  • Figure 13. Global E-Commerce Personalization Software share by Players (Top 3) 2022(%)
  • Figure 14. Global E-Commerce Personalization Software share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. OptinMonster (United States) Revenue, Net Income and Gross profit
  • Figure 17. OptinMonster (United States) Revenue: by Geography 2022
  • Figure 18. Monetate (United States) Revenue, Net Income and Gross profit
  • Figure 19. Monetate (United States) Revenue: by Geography 2022
  • Figure 20. Barilliance Ltd. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Barilliance Ltd. (United States) Revenue: by Geography 2022
  • Figure 22. Evergage (United States) Revenue, Net Income and Gross profit
  • Figure 23. Evergage (United States) Revenue: by Geography 2022
  • Figure 24. Dynamic Yield (United States) Revenue, Net Income and Gross profit
  • Figure 25. Dynamic Yield (United States) Revenue: by Geography 2022
  • Figure 26. RichRelevance (United States) Revenue, Net Income and Gross profit
  • Figure 27. RichRelevance (United States) Revenue: by Geography 2022
  • Figure 28. Salesforce.com, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Salesforce.com, Inc. (United States) Revenue: by Geography 2022
  • Figure 30. Apptus Technologies AB (Sweden) Revenue, Net Income and Gross profit
  • Figure 31. Apptus Technologies AB (Sweden) Revenue: by Geography 2022
  • Figure 32. Attraqt Limited (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 33. Attraqt Limited (United Kingdom) Revenue: by Geography 2022
  • Figure 34. Global E-Commerce Personalization Software: by Platform USD Million (2023-2028)
  • Figure 35. Global E-Commerce Personalization Software: by Deployment USD Million (2023-2028)
  • Figure 36. Global E-Commerce Personalization Software: by Pricing Model USD Million (2023-2028)
  • Figure 37. South America E-Commerce Personalization Software Share (%), by Country
  • Figure 38. Asia Pacific E-Commerce Personalization Software Share (%), by Country
  • Figure 39. Europe E-Commerce Personalization Software Share (%), by Country
  • Figure 40. MEA E-Commerce Personalization Software Share (%), by Country
  • Figure 41. North America E-Commerce Personalization Software Share (%), by Country
List of companies from research coverage that are profiled in the study
  • OptinMonster (United States)
  • Monetate (United States)
  • Barilliance Ltd. (United States)
  • Evergage (United States)
  • Dynamic Yield (United States)
  • RichRelevance (United States)
  • Salesforce.com, Inc. (United States)
  • Apptus Technologies AB (Sweden)
  • Attraqt Limited (United Kingdom)
Additional players considered in the study are as follows:
Personyze (Israel) , Pure360 (United Kingdom) , CloudEngage, Inc. (United States) , GeoFli (United States) , LiveChat Software (Poland)
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Key Highlights of Report


Dec 2023 204 Pages 72 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global E-Commerce Personalization Software Quantitative research analysis
Global E-Commerce Personalization Software Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as OptinMonster (United States), Monetate (United States), Barilliance Ltd. (United States), Evergage (United States), Dynamic Yield (United States), RichRelevance (United States), Salesforce.com, Inc. (United States), Apptus Technologies AB (Sweden) and Attraqt Limited (United Kingdom) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Increased Penetration of the Internet" is seen as one of major influencing trends for E-Commerce Personalization Software Market during projected period 2022-2028.
The E-Commerce Personalization Software market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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