Authors:
Preeti Wadhwani, Satyam Jaiswal
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Next Generation Customer Loyalty Market Size & Share 2026-2035
Report ID: GMI16235
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Published Date: July 2026
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Next Generation Customer Loyalty Market
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Next Generation Customer Loyalty Market Size
The global next generation customer loyalty market was estimated at USD 12.4 billion in 2025. The market is expected to grow from USD 13.4 billion in 2026 to USD 39.1 billion in 2035, at a CAGR of 12.6% according to latest report published by Global Market Insights Inc.
Next Generation Customer Loyalty Market Key Takeaways
Market Leader: Oracle led with over 3.8% market share in 2025.
Leading Players: Top 5 players in this market include Oracle, Microsoft, SAP SE, Adobe, Salesforce, which collectively held a market share of 14.3% in 2025.
AI-driven personalization has emerged as the primary capability differentiator in next-generation loyalty platforms. Enterprises across retail, BFSI, and travel are deploying machine learning models to analyze purchase history, engagement signals, and zero-party preference data, generating individualized loyalty propositions that demonstrably outperform rule-based reward structures on both engagement rates and incremental revenue per member. The underlying driver is the maturation of real-time data infrastructure cloud-native event streaming, vector databases, and edge-deployed recommendation models which has reduced the latency gap between behavioral signal and loyalty action from days to milliseconds. Platforms such as Salesforce Loyalty Management, Adobe Experience Cloud, and Oracle CX Loyalty have embedded predictive AI capabilities that enable brands to intervene at the precise moment a member signals churn risk, offering personalized re-engagement incentives before attrition occurs.
Mobile connectivity has become the primary channel through which loyalty programs engage their member base. GSMA Intelligence data indicates that 4.7 billion people representing 58% of the global population used mobile internet in 2024, with the subscriber base projected to expand to 5.5 billion by 2030.[1]GSMA Intelligence – https://www.gsma.com This connectivity expansion is translating directly into loyalty program architecture: mobile apps now account for USD 4.55 billion, or approximately 37% of the market by engagement channel in 2025. The more consequential shift is the transition from mobile-as-supplementary-channel to mobile-as-primary-engagement-surface, with enterprise brands redesigning entire loyalty program UX flows around smartphone notifications, biometric authentication, and in-app gamification mechanics.
The structural limitation of points-based, transactional loyalty models price sensitivity among program members, low emotional attachment, and high program switching rates has catalyzed enterprise investment in experiential and emotional loyalty architectures. Brands across travel, retail, and media verticals are integrating access-based rewards, community membership mechanics, and personalized milestone recognition into loyalty program design, converting functional engagement into genuine brand affinity. The data indicates that experiential rewards generate meaningfully higher member satisfaction and advocacy rates than equivalent monetary value delivered through points accumulation. Marriott Bonvoy's evolution toward experience auctions, Sephora's Beauty Insider community with tiered access to brand events, and American Airlines' AAdvantage lifestyle rewards all represent mature deployments of experiential loyalty mechanics at enterprise scale.
The accelerating deprecation of third-party tracking cookies across major browser platforms has fundamentally altered the data acquisition strategies of consumer-facing enterprises. Loyalty programs have emerged as the primary mechanism for generating consented, high-fidelity first-party data capturing declared preferences, stated purchase intent, and behavioral signals directly from members within a GDPR- and CCPA-compliant framework. The OECD's consumer data framework distinguishes first-party data collection as the most defensible basis for data-driven personalization in the post-cookie environment.[2]OECD – https://www.oecd.org Enterprises are accordingly redesigning loyalty enrollment flows to incorporate zero-party preference collection, expanding the strategic value of loyalty programs beyond customer retention and into enterprise data strategy.
Next Generation Customer Loyalty Market Trends
The deployment of AI-driven personalization within enterprise loyalty programs has progressed from experimental use cases to production-grade, platform-embedded capability across the 2024–2025 period. Machine learning models trained on loyalty transaction histories, real-time behavioral signals, and zero-party preference data now underpin offer selection, reward recommendation, and churn risk scoring across the loyalty management platforms of Oracle, Salesforce, Adobe, and Antavo the latter having embedded its "Timi AI" assistant within its loyalty management suite to enable brand teams to design, simulate, and optimize personalized loyalty journeys without requiring dedicated data science expertise. The underlying driver is the maturation of real-time data infrastructure cloud-based event streaming platforms, feature stores, and vector embedding engines that has reduced the latency between behavioral signal and personalized loyalty action from batch-day cycles to sub-second response.
Omnichannel loyalty the seamless delivery of consistent member experiences and real-time reward accrual across mobile, POS, web, and social touchpoints has become the defining architectural requirement for enterprise loyalty programs in 2025. The challenge is not conceptual but infrastructural: enterprises maintaining heterogeneous POS estates across hundreds or thousands of retail, hospitality, or service locations must deploy event-streaming middleware capable of aggregating loyalty transaction data from disparate systems into a unified member record in real time. Platforms including Talon.One and Voucherify have developed API-first loyalty middleware specifically designed for this integration challenge, enabling brands to layer next-generation personalization and segmentation capabilities on top of existing POS infrastructure without full system replacement.
The transition from monolithic, on-premise loyalty management systems to composable, API-first loyalty platforms represents the most consequential technology infrastructure shift in the loyalty management sector in the past decade. Cloud-native platforms enable enterprises to deploy, iterate, and scale loyalty program capabilities new reward types, integration connectors, personalization models on a continuous release cycle rather than the multi-year upgrade cycles associated with legacy systems. The commercial evidence of this transition is visible in the funding trajectory of API-first specialists: Talon.One secured approximately USD 135 million in a growth round led by Silversmith Capital Partners and Meritech Capital in July 2025, targeting expansion of its enterprise-grade, API-first loyalty and promotions infrastructure. By comparison, established ERP-native loyalty modules from SAP SE and Oracle are increasingly being augmented or replaced by composable loyalty platforms that offer deeper personalization capabilities, faster time-to-market, and lower total cost of ownership per member.
The strategic function of loyalty programs has expanded from customer retention to enterprise data infrastructure as cookie deprecation has eliminated alternative routes to consented consumer data at scale. Enterprises across retail, BFSI, and FMCG verticals are redesigning loyalty enrollment and ongoing engagement flows to systematically capture zero-party preference data declared information shared explicitly by members in exchange for personalization value including dietary preferences, size and fit profiles, travel intent, communication channel preferences, and product category interests. US Census Bureau data confirms that US retail e-commerce sales totaled USD 1,233.7 billion in 2025, representing 16.4% of total US retail sales a sustained digital commerce growth trajectory that creates corresponding demand for consented consumer data infrastructure capable of supporting personalized digital commerce engagement at scale.[3]US Census Bureau – https://www.census.gov Loyalty programs with robust zero-party data capture capabilities are emerging as the primary competitive advantage for enterprises seeking personalized engagement in the post-cookie environment.
Next Generation Customer Loyalty Market Analysis
Based on solution, the next generation customer loyalty market is segmented into Software and Services. The Software segment dominates the market with 74.4% share in 2025, and the segment is expected to grow at a CAGR of 13.5% from 2026 to 2035.
Based on program type, the next generation customer loyalty market is segmented into points-based loyalty, tier-based / VIP loyalty, subscription-based loyalty, coalition / partner loyalty, gamified / experiential loyalty, tokenized / blockchain-based loyalty and others. The points-based loyalty segment dominates with 40.7% market share in 2025 and is growing at a CAGR of 8.4% from 2026 to 2035.
Based on engagement channel, the next generation customer loyalty market is segmented into mobile application, web & e-mail, point-of-sale (POS), social / messaging and others. The mobile application segment dominates the market with 36.9% market share in 2025.
Based on end use, the next generation customer loyalty market is segmented into Retail & E-commerce, BFSI, Travel & Hospitality, Telecommunications, Healthcare, Media & Entertainment, FMCG and Others. The Retail & E-Commerce segment dominates the market with 33.9% market share in 2025.
China dominates the Asia Pacific next generation customer loyalty market accounting for 40% and generating USD 1.3 billion in 2025.
US dominates North America next generation customer loyalty market, growing with a CAGR of 14% from 2026 to 2035.
Germany dominates the next generation customer loyalty market, showcasing strong growth potential, with a CAGR of 13% from 2026 to 2035.
Brazil leads the Latin American next generation customer loyalty market, exhibiting remarkable growth of CAGR 13.6% during the forecast period of 2026 to 2035.
UAE witnessed substantial growth in the Middle East and Africa next generation customer loyalty market with CAGR of 12.5% from 2026-2035.
3.8% market share
Collective market share in 2025 is 14.3%
Next Generation Customer Loyalty Market Share
Next Generation Customer Loyalty Market Companies
Major players operating in the next generation customer loyalty industry:
The market demonstrates a moderately fragmented competitive landscape, with a balanced mix of large enterprise software vendors, specialized loyalty platform providers, and emerging SaaS and API-first players. While global technology leaders such as Oracle, Salesforce, SAP, and Adobe hold strong positions in large enterprise deployments, they do not dominate the market due to the continued strength of specialized loyalty vendors and regional players. Companies such as Antavo, Capillary Technologies, Eagle Eye Solutions, Kobie Marketing, LoyaltyLion, Yotpo, and Annex Cloud collectively account for a significant share of deployments across retail, BFSI, and e-commerce verticals.
The fragmentation is driven by the varied and evolving requirements of loyalty programs across industries and geographies. Enterprises demand tailored solutions spanning points-based systems, subscription loyalty, gamification, referral programs, and AI-powered personalization, which has enabled multiple niche providers to thrive. At the same time, the rise of composable loyalty architecture has further diversified the ecosystem, as companies increasingly adopt API-first platforms such as Talon.One, Voucherify, and Optimove alongside broader enterprise suites. This hybrid adoption model prevents over-consolidation and sustains a multi-vendor environment.
Next Generation Customer Loyalty Industry News
In December 2025, the French data protection authority (CNIL) imposed a €3.5 million fine on a company operating a loyalty program across France and 16 EU countries for unlawfully transferring personal data of over 10.5 million loyalty program members to a social media platform for advertising targeting without a valid legal basis, establishing a landmark GDPR enforcement precedent for loyalty data governance across the European Union.
In July 2025, Talon.One secured approximately USD 135 million in a growth funding round led by Silversmith Capital Partners and Meritech Capital, aimed at expanding its API-first, AI-driven loyalty and promotions management platform for global enterprise retailers and brands.
In May 2025, Antavo launched its Promotion Engine, an API-first, headless solution enabling enterprises to manage real-time promotions alongside loyalty programs, reflecting rising demand for unified loyalty and promotional infrastructure integrated across e-commerce, POS, and digital engagement channels.
In March 2025, Antavo reported 40% year-over-year enterprise growth and advanced its AI loyalty capabilities through enhancements to “Timi AI,” a proprietary AI assistant designed to help enterprises design, optimize, and manage personalized loyalty programs at scale without requiring dedicated data science resources.
In 2025, Capillary Technologies expanded its global loyalty and customer engagement capabilities through the acquisition of Kognitiv, strengthening its enterprise SaaS offering and enabling brands to deliver integrated rewards, personalization, and omnichannel customer experiences at scale across North America and global markets.
In January 2025, Antavo released its Global Customer Loyalty Report 2025, highlighting accelerating AI-powered loyalty adoption and increased enterprise demand for highly personalized, omnichannel engagement strategies, underscoring a structural shift from traditional points-based programs toward experience-driven and data-led loyalty ecosystems.
The next generation customer loyalty market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue (USD Bn) from 2022 to 2035, for the following segments:
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Market, By Solution
Market, By Program Type
Market, By Engagement Channel
Market, By End Use
The above information is provided for the following regions and countries:
Table of Contents
Chapter 1 Research Methodology
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2025
Chapter 5 Market Estimates & Forecast, By Solution, 2022 - 2035 (USD Mn)
Chapter 6 Market Estimates & Forecast, By Program Type, 2022 - 2035 (USD Mn)
Chapter 7 Market Estimates & Forecast, By Engagement Channel, 2022 - 2035 (USD Mn)
Chapter 8 Market Estimates & Forecast, By End Use, 2022 - 2035 (USD Mn)
Chapter 9 Market Estimates & Forecast, By Region, 2022 - 2035 (USD Mn)
Chapter 10 Company Profiles
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Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →