India Loyalty Market Size & Forecast by Spend Value Across 100+ KPIs by Program Type, Channel Mix, Sector, Embedded Loyalty Penetration, and Platform Spend Segmentation - Databook Q2 2026 Update

The loyalty market in India is expected to grow by 18.2% annually, reaching US$2.11 billion by 2026.

The loyalty market in the country has experienced robust growth during 2021-2025, achieving a CAGR of 19.7%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 16.6% from 2026 to 2030. By the end of 2030, the loyalty market is projected to expand from its 2025 value of US$1.79 billion to approximately US$3.91 billion.

Key Trends and Drivers

Travel loyalty is moving beyond flights into everyday earning ecosystems

• India’s airline loyalty market is becoming more utility-led and partner-led, rather than limited to flight miles. In May 2026, Air India expanded Maharaja Club by allowing members to earn and redeem Maharaja Points on Air India Express flights across more than 55 destinations, strengthening loyalty integration across the Tata aviation portfolio. IndiGo also widened BluChip in May 2026 through a partnership with Single.id, allowing members to earn BluChips on everyday card-linked spends across brands such as McDonald’s West and South, Wow! Momo, Snitch, Colorbar, Himalaya, and Pizza Hut.
• The driver is intensifying competition for repeat travellers as domestic and regional travel normalises, combined with airlines’ need to make loyalty more relevant between trips. Air India is using Maharaja Club to unify full-service and low-cost travel under one loyalty layer, while IndiGo is using card-linked partner earning to extend BluChip into daily consumption categories. This reflects a shift from “fly more, earn more” to “spend across ecosystem, redeem for travel.”
• This trend is likely to intensify. Airline loyalty programs in India will increasingly compete on partner breadth, redemption flexibility, app-based engagement, and card-linked earning rather than only tier benefits. Travel loyalty platforms that can connect flights, add-ons, dining, retail, and co-branded financial products will be better positioned to increase member activity frequency and reduce loyalty dormancy.

Subscription loyalty is being repriced as platforms balance retention with profitability

• Food delivery, quick commerce, and going-out platforms are still using subscription loyalty as a core retention tool, but the recent emphasis has shifted from rapid membership acquisition to unit economics. Swiggy’s FY2026 shareholder disclosures continue to reference Swiggy One free-delivery discounts across food delivery, quick commerce, and platform innovation metrics. Eternal, the parent of Zomato, continues to account for free-delivery discounts linked to Zomato Gold in its food delivery adjusted revenue definitions.
• The pressure comes from India’s highly competitive quick commerce and food delivery market, where platforms need loyalty benefits to protect order frequency but must also manage delivery subsidies, discounts, and customer acquisition costs. Reuters reported in May 2026 that Swiggy’s quick-commerce growth was under investor scrutiny due to competition from Blinkit, Zepto, Amazon, and Flipkart, even as food delivery margins improved. This makes loyalty less about blanket discounting and more about targeted benefits that sustain profitable frequency.
• Subscription loyalty is likely to stabilise, but with sharper segmentation. Platforms are expected to reduce broad-based giveaways and push more conditional benefits linked to order frequency, basket size, partner-funded offers, dining, events, and quick-commerce usage. The strongest programs will be those that can convert loyalty from a discount cost into a cross-category engagement layer.

Payment-linked rewards are moving closer to everyday UPI and card-linked commerce

• Loyalty in India is increasingly being embedded into payment rails and card-linked journeys rather than being limited to standalone reward catalogues. UPI’s scale gives banks, card issuers, wallets, and merchants a high-frequency transaction layer for rewards, cashback, and benefit targeting. The Government of India noted in April 2026 that UPI processed 24,162 crore transactions in FY2026, with merchant payments led by small-ticket transactions and 86% of P2M payments below ₹500.
• The main driver is the convergence of UPI, RuPay credit cards, and merchant QR acceptance. RBI’s National Strategy for Financial Inclusion 2025-30 highlights that linking credit cards with UPI enables even small merchants with QR codes to participate in credit-led spends. This widens the addressable base for issuer-funded rewards, small-ticket cashback, co-branded cards, and merchant-funded offers beyond traditional card-acceptance points.
• This trend is likely to intensify, but reward economics will become more selective. As UPI-linked and RuPay-linked transactions expand into routine categories, issuers and fintechs will have more opportunities to reward frequent micro-transactions, but benefit structures will increasingly be tied to spend thresholds, merchant categories, and profitability. Loyalty providers that can connect payment credentials, merchant offers, and real-time redemption will gain relevance in India’s mass-market loyalty ecosystem.

Consent-led personalisation is becoming a loyalty design requirement

• India’s loyalty programs are entering a more regulated phase for customer data use. The Digital Personal Data Protection Rules, 2025, were notified in November 2025, introducing phased obligations around notices, consent, data fiduciary responsibilities, and data retention. For loyalty operators, this matters because personalisation, rewards targeting, app engagement, gamification, and partner offers all depend on collecting and processing customer identity, transaction, location, and preference data.
• The driver is the growing scale of app-based loyalty and e-commerce engagement. The DPDP Rules specifically include retention obligations for large e-commerce entities with not less than two crore registered users in India, with certain personal data required to be erased after three years from the latest qualifying interaction, except for defined purposes such as account access and virtual tokens. This directly affects large loyalty ecosystems that store points, vouchers, wallet balances, or reward tokens within digital platforms.
• This trend will intensify as loyalty platforms redesign onboarding, consent capture, preference centres, partner data-sharing, and inactive-user retention policies. Programs that rely on broad, opaque customer profiling will face higher compliance and trust risks, while programs that offer clear value exchange for data sharing, such as better redemption, relevant offers, family pooling, or payment-linked rewards, will be better placed to maintain personalisation without weakening consumer trust.

Competitive Landscape

Competition is likely to intensify over the next 2-4 years as loyalty programs move closer to payments, travel, quick commerce, and app-based ecosystems. UPI-linked credit cards will make bank and fintech rewards more relevant for everyday merchant spends, while the Digital Personal Data Protection Rules, 2025, will push large loyalty operators to strengthen consent, retention, and personalisation practices. Programs with broad partner networks, clear redemption value, and compliant customer-data use are likely to gain share.

Current State of the Market

• India’s loyalty program market has become highly competitive and multi-sectoral, with competition no longer led only by retailers or banks. E-commerce platforms, food delivery and quick commerce players, airlines, card issuers, UPI-linked payment providers, and app-based reward platforms are all competing for repeat engagement. The most visible recent shift is that loyalty is being embedded into daily-use platforms: airline programs are extending into everyday spend, e-commerce platforms are adding paid membership tiers, and banks are using RuPay-UPI cards to push rewards into small merchant payments.

Key Players and New Entrants

• Key players include Tata NeuPass, Amazon Prime, Flipkart Plus / Black, Swiggy One, Zomato Gold, Air India Maharaja Club, IndiGo BluChip, and bank-card programs from Axis Bank, HDFC Bank, ICICI Bank, SBI Card, IDFC FIRST Bank, and others. Tata Neu remains important because it connects rewards across Tata Group brands, while Amazon and Flipkart use paid or tiered memberships to defend online shopping frequency. A notable recent entrant is Google Pay’s Flex co-branded credit card with Axis Bank, which brings UPI-linked rewards into Google Pay’s payment journey.

Recent Launches, Partnerships, Mergers, and Acquisitions

• Recent competitive activity has been driven more by launches and partnerships than by consolidation. IndiGo partnered with Single.id in May 2026 to let BluChip members earn rewards on everyday card-linked spends across partner brands. Air India expanded the Maharaja Club earning and redemption to Air India Express, strengthening loyalty integration within the Tata airline portfolio. Flipkart added Black as a premium paid membership layer, while Axis Bank and Google Pay launched a UPI-powered co-branded credit card. No major loyalty-specific M&A was identified from credible recent sources.

This report provides a detailed data-centric analysis of the loyalty industry in India, offering comprehensive coverage of loyalty schemes, loyalty platforms, program structures, and market dynamics. It covers more than 100 KPIs, including loyalty spend value, breakage rate, penetration rate, program segmentation, and channel-level adoption.

The report provides in-depth segmentation across the loyalty ecosystem, capturing loyalty spend value and breaking it down by core market dimensions. It classifies loyalty activity by program models (such as points, cashback, tiered, subscription, coalition, and gamified formats), membership structures, and execution channels (in-store, online, and mobile app), alongside embedded loyalty use cases integrated into payments, commerce, and platform ecosystems. The analysis further segments the market by industry verticals and assesses technology enablement, including AI-driven personalisation and emerging blockchain-led program mechanics. In addition, the dataset captures consumer demographics, enrolment pathways, and key program economics such as value accumulation, redemption, and breakage. Collectively, these datasets provide a comprehensive and quantifiable view of market size, structure, engagement behaviour, and value realisation dynamics within the loyalty market.

The research methodology is based on industry best practices. Its unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.

Report Scope

This report provides a detailed data-centric analysis of the loyalty market in India, with comprehensive coverage across retail-sector context, loyalty spend dynamics, and loyalty platform economics. Below is a summary of key market segments:

India Retail Sector Market Context

• India Retail Industry Market Size, 2021-2030
• India Ecommerce Market Size, 2021-2030
• India POS Market Size Trend Analysis, 2021-2030

India Loyalty Spend Market Size and Growth Dynamics

• India Loyalty Spend Market Size and Future Growth Dynamics, 2021-2030
• India Loyalty Spend on Schemes by Value Accumulated and Value Redemption Rate, 2025
• India Loyalty Spend Share by Functional Domains, 2021-2030
• India Loyalty Spend by Loyalty Schemes, 2021-2030
• India Loyalty Spend by Loyalty Platforms, 2021-2030

India Loyalty Schemes Spend Segmentation by Loyalty Program Type

• Point-based Loyalty Program
• Tiered Loyalty Program
• Mission-driven Loyalty Program
• Spend-based Loyalty Program
• Gaming Loyalty Program
• Free Perks Loyalty Program
• Subscription Loyalty Program
• Community Loyalty Program
• Refer a Friend Loyalty Program
• Paid Loyalty Program
• Cashback Loyalty Program

India Loyalty Schemes Spend Segmentation by Channel

• In-Store
• Online
• Mobile

India Loyalty Schemes Spend Segmentation by Business Model

• Seller Driven
• Payment Instrument Driven
• Other Segment

India Loyalty Schemes Spend Segmentation by Key Sectors

• Retail
• Financial Services
• Healthcare & Wellness
• Restaurants & Food Delivery
• Travel & Hospitality (Cabs, Hotels, Airlines)
• Telecoms
• Media & Entertainment
• Other

Sector × Channel Views: Loyalty Schemes Spend by Key Sectors and Channels

• Online Loyalty Spend by Sector, 2021-2030
• In-store Loyalty Spend by Sector, 2021-2030
• Mobile App Loyalty Spend by Sector, 2021-2030

India Retail Sector Deep-Dive: Loyalty Schemes Spend by Retail Segment

• Diversified Retailers
• Department Stores
• Specialty Stores
• Supermarket and Convenience Store
• Other

India Loyalty Schemes Spend Segmentation by Accessibility

• Card Based Access
• Digital Access

India Loyalty Schemes Spend Segmentation by Consumer Type

• B2B Consumers
• B2C Consumers

India Loyalty Schemes Spend Segmentation by Membership Type

• Free
• Free + Premium
• Premium

India Loyalty Spend Split by Embedded vs. Non-Embedded Loyalty

• Embedded Loyalty Programs
• Non-Embedded Loyalty Programs

India Loyalty Spend Split by Use of AI / Blockchain

• AI Driven Loyalty Program
• Blockchain Driven Loyalty Program

India Loyalty Platform Spend Segmentation by Software Use Case

• Analytics and AI Driven
• Management Platform

India Loyalty Platform Spend Segmentation by Vendor / Solution Partner

• In-house
• Third-Party Vendor

India Loyalty Platform Spend Segmentation by Deployment

• Cloud
• On-Premise

India Loyalty Platform Spend Segmentation by Offering

• Software
• Services
• Custom Built Platform vs. Off the Shelf Platform

India Consumer Demographics & Behaviour (Loyalty Spend Share), 2025

• Age Group
• Income Level
• Gender

India Loyalty Program KPIs, Behavioral Metrics & Embedded, 2025

• Loyalty Program Penetration (% of Retail Sales under Loyalty)
• Primary Loyalty Motivation Split Analysis
• Loyalty Program Breakage Rate Analysis
• Loyalty Program Enrollment Channel Mix Analysis
• Embedded Loyalty Penetration by Channel

Reasons to Buy

• Comprehensive Loyalty Market Intelligence: Gain a complete view of the loyalty market by quantifying total loyalty spend value and its composition across loyalty schemes and loyalty platforms. The databook also includes retail context indicators to help benchmark market scale, structure, maturity, and growth dynamics. This enables users to understand not only the size of the opportunity, but also how loyalty value is distributed across the broader ecosystem.
• Granular Loyalty Spend and Program Type Coverage: Analyze loyalty spend across a wide range of loyalty schemes and platform-led models, supported by structured segmentation across key program types. Coverage includes point-based, tiered, cashback, subscription, community, gaming, mission-driven, paid, and referral-led formats. This helps identify which loyalty models are gaining traction and how program structures are evolving across markets.
• Channel, Sector, and Execution-Level Insights: Evaluate how loyalty spend is distributed across in-store, online, and mobile channels, with further visibility across major sectors such as Retail, Financial Services, Healthcare & Wellness, Restaurants & Food Delivery, Travel & Hospitality, Telecoms, and Media & Entertainment. Dedicated sector × channel views help users compare execution models and assess where loyalty engagement is strongest across physical, digital, and mobile environments.
• Program Structure, Participation, and Embedded Loyalty Analysis: Understand how loyalty schemes differ by business model, accessibility, consumer type, and membership format. The dataset covers seller-driven vs. payment-instrument-driven models, card-based vs. digital programs, B2B vs. B2C participation, and free, premium, and free+premium membership types. It also tracks embedded vs. non-embedded loyalty and emerging mechanisms, including AI-driven and blockchain-driven loyalty spend where captured.
• Loyalty Platform Spend and Vendor Benchmarking: Benchmark loyalty platform economics across software use cases, partner models, deployment choices, and offering mix. Coverage includes analytics/AI-driven platforms, loyalty management platforms, in-house vs. third-party solutions, cloud vs. on-premise deployment, and software vs. services models. The dataset also supports comparison of custom-built and off-the-shelf loyalty platform approaches.
• Consumer, KPI, and Decision-Ready Databook Lens: Access loyalty spend share by age, income, and gender, alongside decision-critical program KPIs such as loyalty penetration, primary motivation split, breakage rate, enrollment channel mix, and embedded loyalty penetration by channel. With historical and forecast coverage through 2030 and 100+ KPIs, the databook is designed for direct use in market models, strategic planning, competitive benchmarking, and executive presentations.