Report:
Magic Quadrant for Personalization Engines
How does Gartner define the Personalization Engines market in 2026?
Personalization engines use knowledge about customers to create and deliver an optimum experience for them and measure the impact on customer experience. These engines apply AI, advanced analytics and business rules to create meaningful experiences across channels that facilitate customer engagement and drive revenue. Personalization engines create a relevant, individualized interaction between two parties designed to enhance the recipient's experience. A recipient can be a prospect, customer (known or anonymous) or employee (engaging with a customer or prospect). In commercial settings, the engines apply advanced analytics to interpret customer data — whether known or anonymous, behavioral or contextual — and adjust engagement based on where the customer is in their journey and how they're interacting. The engines adapt content, offers and interactions in real time that facilitate the customer's journey. These engines are commonly used in marketing, digital commerce, and service and support.
Key Facts for Magic Quadrant for Personalization Engines in 2026
- Publication Date: 3 February 2026
- Document ID: G00832271
- Coverage: Worldwide
- Authors: Penny Gillespie, Jason Daigler, Michael Ro, Ross Cosner
- Core Purpose: Personalization engines use knowledge about customers to create and deliver an optimum experience for them and measure the impact on customer experience. These engines apply AI, advanced analytics and business rules to create meaningful experiences across channels that facilitate customer engagement and drive revenue.
Strategic Planning Assumptions
No strategic planning assumptions provided.
How was the Personalization Engines market evolved in 2026?
- Market grew 26.1% in 2024 to $1.2 billion
- Fastest-growing segment in the cross-CRM market
- Business and functional capability gaps remain despite growth
- CMOs identified personalization as a gap between current capabilities and business needs
- 48% of CMOs plan to increase investment in digital shelf content
- 64% of CMOs plan increases in personalization of digital commerce touchpoints
- CMOs expect personalization spend to grow from 19.3% of marketing budget in 2024 to 25.9% in 2025
- 60% of U.S. consumers would rather give up personalized experiences than have digital behaviors tracked
- 73% of consumers rank ability to shop quickly and efficiently as top three most important factors
- Vendors focusing on customer intent understanding and content creation using AI and GenAI
- All personalization engines serve minimum of 10 industries, up from previous year
- Market remains fragmented due to differences in scope, channels covered, use cases and AI sophistication
What product features are required to be included in this year's evaluation?
- Real-time digital behavior tracking, data collection, ingestion and storage (data augmented by batch and streaming data)
- Ability to alter interactions in real time based on individuals' actions, context, data or a combination of the three
- Segmentation of individuals across known data and inferred beliefs to support personalization rules, including responding to contextual data and user feedback
- Extensive testing capabilities (e.g., A/B, multivariate, multiarmed bandit), including the ability to test a wide variety of personalization elements and tactics (e.g., messaging, campaigns, recommendations)
- Automated machine learning capabilities that improve personalization outcomes, including identifying underperforming audiences and recommending specific actions to improve outcomes
- Customer experience (CX) data profile creation and management capabilities
- Personalization performance tracking (e.g., campaign, commerce, recommendations) and reporting
- Embedded generative AI (GenAI) in content creation, testing and other employee tasks
What are the common features of top products in the Personalization Engines space?
- Agentic AI in employee tasks
- Two-tiered data structures to support both a B2B business account and the associated buyer(s)
- Individual customer data unification and profile management
- Customer journey orchestration
- Privacy and consent management features
Scope Exclusions
- Other solutions that may comprise a vendor's total personalization product portfolio (e.g., search and product discovery, customer data platform, multichannel marketing hub, digital experience platform) unless the solution was natively embedded as part of the personalization engine and not sold separately
Inclusion Criteria
Vendors must, among other requirements:
- Offer the personalization engine as an independent product
- Have proven industry coverage with at least 25% of revenue from non-retail industries
- Total revenue from personalization engine greater than $25 million for calendar year 2024
- A minimum of 25 net new customer deployments in 2024, or minimum 20% year-over-year growth
- Include key mandatory features for this market
Ability to Execute — Relative Weighting
- Product or Service - High
- Overall Viability - High
- Sales Execution/Pricing - Low
- Market Responsiveness/Record - Low
- Marketing Execution - Low
- Customer Experience - Medium
- Operations - Low
Completeness of Vision — Relative Weighting
- Market Understanding - High
- Marketing Strategy - Medium
- Sales Strategy - Low
- Offering (Product) Strategy - High
- Business Model - NotRated
- Vertical/Industry Strategy - Low
- Innovation - Medium
FAQs
Q: What does this research cover?
A: This research evaluates 12 vendors offering personalization engines based on their ability to execute and completeness of vision. It analyzes vendor capabilities in delivering AI-driven personalization across marketing, digital commerce, and service and support use cases. The evaluation emphasizes financial results, product breadth, AI sophistication, customer experience, innovation, partner networks, geographic reach, and customer types served. The report includes vendor strengths and cautions, market trends, inclusion criteria, and evaluation methodology.
Q: Who should use this research?
A: Digital marketing leaders should use this research to evaluate personalization engine vendors and identify solutions that match their organization's immediate marketing goals and long-term customer engagement strategy. It helps assess vendor strengths, strategic direction, and capabilities in AI and testing. The research should be used alongside the companion Critical Capabilities for Personalization Engines document and Gartner Peer Insights to determine which platforms deliver essential features and outcomes for specific business needs.
Q: What are the mandatory features of vendors included in this market?
A: Vendors must offer real-time digital behavior tracking and data collection, the ability to alter interactions in real time based on customer actions/context/data, segmentation capabilities across known and inferred data, extensive testing capabilities (A/B, multivariate, multiarmed bandit), automated machine learning to improve personalization outcomes, customer experience data profile creation and management, personalization performance tracking and reporting, and embedded generative AI in content creation and testing.
Q: What are some reasons for not being included in this report?
A:
- Not offering the personalization engine as a stand-alone product separate from other products like CMS, multichannel marketing hub, CDP, DXP, etc.
- Less than 25% of revenue generated from non-retail industries
- Total revenue from personalization engine less than $25 million for 2024
- Fewer than 25 net new customer deployments in 2024 and less than 20% year-over-year growth
- Missing key mandatory features such as automated machine learning capabilities or embedded GenAI (as in the case of Sitecore which was dropped)
Q: What differentiates Ability to Execute vs. Completeness of Vision?
A: Ability to Execute evaluates providers on the quality and efficacy of the processes, systems, methods or procedures that enable IT provider performance to be competitive, efficient and effective, and to positively impact revenue, retention and reputation. It emphasizes current product capabilities, viability, sales execution, and customer experience. Completeness of Vision evaluates providers on their ability to convincingly articulate logical statements about current and future market direction, innovation, customer needs and competitive forces and how well they map to Gartner's view of the market. It emphasizes market understanding, product strategy, and forward-looking innovation rather than current execution.
Reference
- Gartner, Magic Quadrant for Personalization Engines, 3 February 2026, ID G00832271
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