Asia-Pacific Cashback Programs Market Opportunities Databook - 90+ KPIs on Cashback Market Size by Business Model, Channel, Cashback Program Type, End Use Sector - Q2 2026 Update

Key Trends and Drivers

Shift cashback budgets from broad earn propositions toward controlled, behaviour-linked payouts

• Recent issuer changes indicate a move away from uniformly generous cashback toward more tightly controlled caps, eligible categories and transaction types. In India, SBI Card revised its CASHBACK SBI Card from 1 April 2026, setting a ₹4,000 maximum per statement cycle, split into ₹2,000 for 5% online cashback and ₹2,000 for 1% offline cashback, while adding digital gaming, toll and government transactions to its exclusions. Singapore's UOB is making a similar eligibility adjustment: from 4 September 2026, selected overseas transactions that previously earned 1.7% on the Absolute Cashback Card will earn 0.3%. At the same time, UOB is temporarily adding 0.3% bonus cashback for eligible contactless spending, showing that reward budgets are increasingly being redirected toward selected behaviours rather than increased across the entire spend base.
• The change reflects a stronger focus on acquisition efficiency and measurable post-acquisition behaviour. Rather than paying a large reward simply for opening a product, issuers are increasingly dividing cashback across multiple customer actions. BNI's August 2026 credit-card acquisition campaign in Indonesia illustrates this approach: the potential Rp800,000 cashback is distributed across successful card approval, activation through wondr by BNI, specified card-spend thresholds and instalment conversion; the full amount requires completion of all stages and is limited to the first 800 qualifying customers. This structure allows headline cashback to remain competitive while concentrating actual payouts on customers who activate and use the product more deeply.
• Cashback issuance by financial-services firms is therefore likely to remain significant but become more conditional. More programs are likely to use separate category caps, MCC exclusions, minimum-spend thresholds, app activation requirements and temporary boosters for selected channels such as contactless or digital transactions. This should moderate the economics of broad flat-rate cashback while supporting targeted introductory and category-based propositions. For consumers, headline cashback rates may remain competitive, but the effective amount earned will increasingly depend on transaction mix and qualification. For issuers, this should improve the ability to use cashback selectively for acquisition, activation and spend steering rather than treating it as an undifferentiated card benefit.

Extend cashback beyond card purchases to activate cross-border account and QR payment rails

• Cashback is increasingly being used as an activation incentive for new payment rails, particularly cross-border account-to-account and QR transactions, rather than only as a reward for conventional credit-card spending. DBS Singapore is running a 2026 promotion that credits S$12 to an eligible customer's bank account after the first qualifying PayNow-UPI transfer to India, subject to a S$300 transfer threshold and monthly customer limits. Indonesia provides a second recent example: Bank Mandiri's July-December 2026 QRIS Cross-Border Challenge pays up to Rp100,000 as a savings-account credit for customers completing repeated overseas QR transactions through Livin' by Mandiri in markets including Singapore, Malaysia, Thailand, Japan, South Korea and China.
• The immediate driver is the expansion of interoperable regional payment infrastructure, creating new transaction behaviours that banks have an incentive to establish early. Bank Indonesia and the Bank of Korea launched the Indonesia-South Korea QR Cross-Border linkage in April 2026, allowing QRIS transactions through Indonesian applications in South Korea using local-currency settlement. Bank Indonesia also reported the launch of Indonesia-China QRIS Cross-Border connectivity in April 2026. Cashback programs from banks such as Mandiri are therefore increasingly serving as targeted adoption tools around infrastructure that has only recently become commercially usable across additional corridors. The objective is less about raising a permanent earn rate and more about encouraging first use and repeat use of the bank's own mobile-payment interface.
• This should broaden the addressable role of cashback beyond issuer-card economics. Bank-account credits, wallet credits and app-triggered cashback tied to QR or account-to-account payments are likely to become more prominent, particularly where countries connect domestic instant-payment systems across borders. However, these rewards are more likely to remain campaign-based first transaction, transaction-count challenges or threshold-based payments than develop into permanently high cashback rates. That structure allows banks and wallets to subsidize behavioural change without attaching a recurring reward cost to every payment. Cashback competition in Southeast Asia, in particular, should therefore become more closely linked to which banking or wallet app becomes the customer's preferred payment interface.

Reset Australian card-cashback economics as interchange funding is explicitly constrained

• Australia has moved from discussing interchange reform to a confirmed regulatory change with direct implications for card-funded rewards. The Reserve Bank of Australia has set a 0.30% maximum interchange fee for domestic-issued consumer credit-card transactions from 1 October 2026, replacing the previous framework of a 0.5% weighted-average benchmark and 0.8% cap. Importantly for cashback, the RBA explicitly concluded that consumer-credit interchange was being used by multiple issuers to fund cardholder reward programs and stated that lowering the cap to a level where interchange could no longer fund such rewards would improve payment-system efficiency. This creates a much clearer constraint on issuer-funded cashback economics than existed under earlier policy discussions.
• The RBA's intervention is driven primarily by merchant payment costs, competitive neutrality and the funding relationship between interchange and consumer rewards. It found average consumer-credit interchange at around 0.47% of transaction value, with smaller merchants potentially paying rates as high as 0.8%, while estimated eligible issuer costs averaged about 0.2%. The regulatory direction is also widening beyond traditional four-party card economics. A separate payments-system review launched in June 2026 is examining account-to-account payments, mobile wallets, non-designated card networks and BNPL following expansion of the RBA's regulatory perimeter. Cashback strategy in Australia therefore faces both a near-term funding change and a broader review of competitive conditions across alternative payment models.
• Australia is likely to see moderation in broadly issuer-funded credit-card cashback rather than an equivalent decline in all forms of cashback. Four-party card issuers will have less interchange revenue available to subsidize high recurring rewards, increasing the likelihood of tighter caps, higher qualifying spend, annual-fee economics or narrower eligible categories. At the same time, competitive value can migrate toward merchant-funded card-linked offers and temporary partner cashback, where the merchant rather than interchange economics funds much of the reward. The key structural change is therefore likely to be in who funds cashback: less reliance on interchange-funded blanket rewards and greater reliance on merchants, partnerships and targeted promotional budgets.

Move cashback platforms upstream from post-purchase rebates into AI-led shopping discovery

• Cashback platforms are beginning to compete before the merchant click rather than only after the purchase is completed. ShopBack introduced its Shop by Image capability in July 2026, using AI visual search to turn a photograph or screenshot into product matches that display prices and available cashback. Its Singapore product documentation confirms that AI can analyse uploaded images to match products across partner sites and that the service uses interactions such as views, clicks and purchases to improve recommendations. The recent change is significant because cashback is being embedded directly into product discovery and comparison, rather than appearing primarily as a rebate once a shopper has already selected a merchant.
• The underlying incentive is to capture higher-intent shopping activity earlier in the purchase journey while improving merchant-funded cashback efficiency. ShopBack's current model surfaces cash-return offers before the merchant visit and charges merchant partners when a sale completes rather than for impressions or clicks. Adding AI-assisted product matching, recommendations and price/cashback comparison increase the platform's ability to influence which merchant receives the transaction. For merchants, this supports performance-linked customer acquisition; for the platform, it increases the importance of discovery and personalization rather than competing solely through the highest published cashback percentage. The move also creates a stronger basis for differentiated cashback offers based on shopping context and demonstrated intent.
• Cashback apps and partner programs are likely to become more personalized, dynamic and embedded in shopping decisions, with merchant-funded rates increasingly used alongside recommendations, price alerts, image search and other intent signals. This should favour platforms able to combine affiliate economics with first-party shopping behaviour and merchant networks. Cashback issuance may become more selective higher rewards where they materially change conversion, lower rewards where purchase intent is already strong rather than relying on static merchant-wide rates. It also strengthens the competitive position of cashback platforms as distribution partners to banks, retailers and other apps; ShopBack already offers cash-based rewards infrastructure that can be embedded within third-party applications.

Competitive Landscape

Current State of the Market

• Cashback competition in Asia Pacific remains fragmented by country but increasingly overlaps across business models. Banks and card issuers continue to set the pace in India, Singapore and Indonesia, illustrated by SBI Card, UOB and BNI, while Hong Kong digital bank Mox competes with direct monetary cashback on card spending. Alongside issuers, ShopBack provides a cross-market affiliate/app-based layer spanning Singapore, Malaysia, Indonesia, the Philippines, Thailand, Australia, Hong Kong and other markets. The recent shift is from competing primarily on headline rates toward eligibility, merchant partnerships, app engagement and targeted customer actions.

Key Players and New Entrants

• The competitive set includes SBI Card in India; UOB in Singapore; BNI and Bank Mandiri in Indonesia; Mox in Hong Kong; ANZ and CommBank in Australia/New Zealand; and ShopBack across multiple APAC markets. Mox currently offers monetary CashBack on eligible credit-card spending, while ShopBack cashback can be withdrawn to a bank account. The clearest recent entry into a cashback segment is ANZ New Zealand's ANZ Loop, launched as a Visa-linked merchant cashback proposition rather than a new standalone cashback company.

Recent Launches, Partnerships, Mergers, and Acquisitions

• Recent activity has been launching- and restructuring-led rather than consolidation-led. ANZ Loop introduced card-linked merchant cashback in New Zealand, with rewards credited to the originating card account. BNI is using cashback across application, activation, card spend and instalment conversion through wondr by BNI. Conversely, CommBank announced that existing cashback benefits within CommBank Yello will cease when its reworked points-based program starts on 1 October 2026. These moves show incumbents selectively adding, redesigning or withdrawing cashback according to customer-acquisition and program economics.

This title is a bundled offering, combining the following 14 reports, covering 900+ tables and 1,200+ figures for the Cashback Market:

Report Scope

Asia Pacific Cashback Market Size and Growth Dynamics

• Total Transaction Value of Cashback

Asia Pacific Total Transaction Value of Cashback by Business Model

• Retail Firms
• Partner Programs
• Financial Services Firms
• Market Share by Business Model

Asia Pacific Cashback Program Market Statistics

• Cashback Spend Market Size and Future Growth Dynamics
• Cashback Program Metrics

Asia Pacific Cashback Spend by Business Model

• Retail Firms
• Partner Programs
• Financial Services Firms
• Market Share by Business Model

Asia Pacific Cashback Spend by Channel

• Online
• In-Store
• Mobile App
• Market Share by Channel

Asia Pacific Cashback Spend by Cashback Program Type

• Percentage-Based Cashback
• Flat-Rate Cashback Programs
• Tiered Cashback Programs
• Introductory Cashback
• Rotating Categories
• Bonus Category Cashback Programs
• Customizable Cashback Programs
• App-Based Cashback Programs
• Loyalty Program Cashback
• Affiliate Cashback Programs
• Other Cashback Programs

Asia Pacific Cashback Spend by End-Use Sector

• Retail
• Financial Services
• Healthcare & Wellness
• Restaurants & Food Delivery
• Travel & Hospitality
• Media & Entertainment
• Other End-Use Sectors

Cross-Segmentation: Online Cashback Spend by End-Use Sector

• Retail
• Financial Services
• Healthcare & Wellness
• Restaurants & Food Delivery
• Travel & Hospitality
• Media & Entertainment
• Other End-Use Sectors

Cross-Segmentation: In-Store Cashback Spend by End-Use Sector

• Retail
• Financial Services
• Healthcare & Wellness
• Restaurants & Food Delivery
• Travel & Hospitality
• Media & Entertainment
• Other End-Use Sectors

Cross-Segmentation: Mobile App Cashback Spend by End-Use Sector

• Retail
• Financial Services
• Healthcare & Wellness
• Restaurants & Food Delivery
• Travel & Hospitality
• Media & Entertainment
• Other End-Use Sectors

Asia Pacific Retail Sector Cashback Spend

• E-commerce
• Department Stores
• Specialty Stores
• Clothing, Footwear & Accessories
• Supermarkets and Convenience Stores
• Home Improvement
• Other Retail Segments

Asia Pacific Financial Services Cashback Spend

• Credit Cards
• Debit Cards
• Digital Wallets
• Banking Apps
• Prepaid Cards
• Cash Vouchers

Asia Pacific Healthcare & Wellness Cashback Spend

• Health Products
• Fitness Services

Asia Pacific Restaurants & Food Delivery Cashback Spend

• Food Delivery Apps
• Dining Out

Asia Pacific Travel & Hospitality Cashback Spend

• Airlines
• Hotels
• Cabs and Rideshares

Asia Pacific Media & Entertainment Cashback Spend

• Streaming Services
• Digital Content Purchases

Asia Pacific Cashback Spend by Consumer Demographics & Behaviour

• Market Share by Age Group
• Market Share by Income Level
• Market Share by Gender

Reasons to buy

• Comprehensive Cashback Market Intelligence: Gain an integrated view of the cashback market, covering total transaction value, cashback spend, market growth, and key program performance indicators to assess the scale, maturity, and future development of the market.
• Granular Business Model Analysis: Evaluate cashback activity across retail firms, partner programs, and financial services firms, with historical and forecast analysis of transaction value, cashback spend, market shares, and growth dynamics.
• Channel-Level Cashback Insights: Understand how cashback spending is distributed across online, in-store, and mobile app channels, supported by detailed cross-analysis of channel performance across major end-use sectors.
• Detailed Cashback Program Benchmarking: Assess the adoption and growth of percentage-based, flat-rate, tiered, introductory, rotating category, bonus category, customizable, app-based, loyalty, affiliate, and other cashback program structures to identify changing program preferences.
• End-Use Sector and Cross-Channel Analysis: Analyze cashback spending across retail, financial services, healthcare & wellness, restaurants & food delivery, travel & hospitality, and media & entertainment, including dedicated online, in-store, and mobile-app sector analysis.
• Deep-Dive Sector Intelligence: Examine cashback opportunities within key sectors, including e-commerce, department stores, specialty retail, credit and debit cards, digital wallets, banking apps, food delivery, dining out, airlines, hotels, rideshares, streaming services, and digital content purchases.
• Consumer Demographics and Behaviour Analysis: Understand cashback spending patterns across age groups, income levels, and gender to identify key consumer segments, spending concentration, and opportunities for more targeted cashback propositions.
• Forecasts and Decision-Ready Benchmarking: Access historical and forecast data from 2021 to 2030, supported by market shares and detailed segment-level KPIs, enabling banks, card issuers, retailers, fintechs, cashback platforms, payment providers, and investors to evaluate growth opportunities, market positioning, and strategic priorities.