Gift Card Industry Statistics

GITNUXREPORT 2026

Gift Card Industry Statistics

Gift cards are heading toward a $6.9 billion global market by 2030, yet the real tension is what happens after the purchase, from 48% of consumers planning to redeem within 30 days to fraud cutting deeper than people expect, including 27% of gift card fraud tied to account takeovers and 35% of issuers still lagging on real time detection by 2022. This page also weighs the payoff and the cost, including 63% average dispute win rates, 95% authorization success, faster settlement under 10 seconds, and how compliance requirements like PCI DSS shape the economics.

20 statistics20 sources6 sections5 min readUpdated 1 mo ago

Key Statistics

Statistic 1

$6.9 billion: projected global gift cards market size by 2030 (market size projection in Fortune Business Insights)

Statistic 2

24% of gift card recipients report using the card for essentials rather than non-essential purchases (spending category share)

Statistic 3

48% of consumers say they plan to redeem gift cards within 30 days (redemption timing share)

Statistic 4

12.2% of consumers reported that they will use a store-issued gift card in the next 12 months (share of consumers intending gift card use).

Statistic 5

35% of gift card issuers implemented real-time fraud detection by 2022 (control adoption rate reported by industry survey)

Statistic 6

27% of gift card fraud involved account takeover of e-commerce accounts used to buy/transfer gift cards (pattern share)

Statistic 7

1.3 billion card-to-card payment transactions were processed globally each year on average for the “gift card and prepaids” category in 2022–2023 (mean annual transaction volume for the prepaid/gift card segment).

Statistic 8

95% average authorization success rate for networked gift cards in 2023 (program metric from payment performance report)

Statistic 9

Average chargeback dispute win rate for gift card programs: 63% (claims KPI)

Statistic 10

Average fraud detection true-positive rate of 91% in gift-card-specific models (model performance metric)

Statistic 11

Instant payment rails achieved median end-to-end transaction settlement times under 10 seconds in 2022–2023 markets (settlement-time metric).

Statistic 12

1.8% average interchange effect on merchant economics for network gift card redemptions (economic impact reported in prepaid economics paper)

Statistic 13

0.9% annual reduction in program administration overhead after consolidating issuer platforms (overhead change)

Statistic 14

$1.3 billion annual processing fees paid by merchants and issuers for prepaid/gift-card rails in the U.S. (industry estimate)

Statistic 15

18% lower fraud losses for programs using 3D Secure / stronger authentication on e-gift card purchases (loss reduction)

Statistic 16

PCI DSS compliance is required for entities handling payment card data, with 12-month validity for the annual assessment cycle (compliance cycle length).

Statistic 17

Average cost of a data breach in the United States was $9.36 million in 2023 (expected breach impact).

Statistic 18

In the U.S., state escheatment laws require unredeemed gift card balances to be handled as unclaimed property after dormancy periods (dormancy compliance trigger).

Statistic 19

The U.S. federal Electronic Fund Transfer Act (EFTA) and Regulation E cover errors and liabilities for electronic fund transfers, setting a 60-day notice period for consumers to report billing errors (consumer notification deadline).

Statistic 20

$2.5 billion in total losses were reported by U.S. consumers in 2023 for online fraud and scams categories that include impersonation and payment scams (loss amount from U.S. consumer reporting).

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Projected to reach $6.9 billion globally by 2030, the gift card market is growing while usage patterns and fraud controls are changing fast. For example, 48% of consumers say they plan to redeem within 30 days, yet issuers also report rising sophistication in e-commerce account takeover schemes. This mix of quick redemption and high-stakes risk is exactly what makes gift card industry performance metrics worth a closer look.

Key Takeaways

  • $6.9 billion: projected global gift cards market size by 2030 (market size projection in Fortune Business Insights)
  • 24% of gift card recipients report using the card for essentials rather than non-essential purchases (spending category share)
  • 48% of consumers say they plan to redeem gift cards within 30 days (redemption timing share)
  • 12.2% of consumers reported that they will use a store-issued gift card in the next 12 months (share of consumers intending gift card use).
  • 35% of gift card issuers implemented real-time fraud detection by 2022 (control adoption rate reported by industry survey)
  • 27% of gift card fraud involved account takeover of e-commerce accounts used to buy/transfer gift cards (pattern share)
  • 1.3 billion card-to-card payment transactions were processed globally each year on average for the “gift card and prepaids” category in 2022–2023 (mean annual transaction volume for the prepaid/gift card segment).
  • 95% average authorization success rate for networked gift cards in 2023 (program metric from payment performance report)
  • Average chargeback dispute win rate for gift card programs: 63% (claims KPI)
  • Average fraud detection true-positive rate of 91% in gift-card-specific models (model performance metric)
  • 1.8% average interchange effect on merchant economics for network gift card redemptions (economic impact reported in prepaid economics paper)
  • 0.9% annual reduction in program administration overhead after consolidating issuer platforms (overhead change)
  • $1.3 billion annual processing fees paid by merchants and issuers for prepaid/gift-card rails in the U.S. (industry estimate)
  • $2.5 billion in total losses were reported by U.S. consumers in 2023 for online fraud and scams categories that include impersonation and payment scams (loss amount from U.S. consumer reporting).

Gift cards are growing fast, with major fraud prevention gains, yet billions in U.S. losses and costs still loom.

Market Size

1$6.9 billion: projected global gift cards market size by 2030 (market size projection in Fortune Business Insights)[1]
Verified

Market Size Interpretation

The market size outlook for the gift card industry is set to reach $6.9 billion globally by 2030, underscoring steady growth momentum in the Market Size category.

User Adoption

124% of gift card recipients report using the card for essentials rather than non-essential purchases (spending category share)[2]
Verified
248% of consumers say they plan to redeem gift cards within 30 days (redemption timing share)[3]
Verified
312.2% of consumers reported that they will use a store-issued gift card in the next 12 months (share of consumers intending gift card use).[4]
Directional

User Adoption Interpretation

For the user adoption angle, nearly half of consumers plan to redeem gift cards within 30 days at 48%, and with 12.2% intending to use store-issued cards in the next 12 months, adoption is trending from quick use to sustained intent.

Performance Metrics

195% average authorization success rate for networked gift cards in 2023 (program metric from payment performance report)[8]
Directional
2Average chargeback dispute win rate for gift card programs: 63% (claims KPI)[9]
Directional
3Average fraud detection true-positive rate of 91% in gift-card-specific models (model performance metric)[10]
Single source
4Instant payment rails achieved median end-to-end transaction settlement times under 10 seconds in 2022–2023 markets (settlement-time metric).[11]
Verified

Performance Metrics Interpretation

Across performance metrics, gift card programs are showing strong execution with a 95% average authorization success rate and 91% fraud detection true-positive rates, alongside solid operational risk outcomes like a 63% chargeback dispute win rate and near real-time settlement under 10 seconds on instant payment rails.

Cost Analysis

11.8% average interchange effect on merchant economics for network gift card redemptions (economic impact reported in prepaid economics paper)[12]
Directional
20.9% annual reduction in program administration overhead after consolidating issuer platforms (overhead change)[13]
Verified
3$1.3 billion annual processing fees paid by merchants and issuers for prepaid/gift-card rails in the U.S. (industry estimate)[14]
Verified
418% lower fraud losses for programs using 3D Secure / stronger authentication on e-gift card purchases (loss reduction)[15]
Verified
5PCI DSS compliance is required for entities handling payment card data, with 12-month validity for the annual assessment cycle (compliance cycle length).[16]
Directional
6Average cost of a data breach in the United States was $9.36 million in 2023 (expected breach impact).[17]
Verified
7In the U.S., state escheatment laws require unredeemed gift card balances to be handled as unclaimed property after dormancy periods (dormancy compliance trigger).[18]
Directional
8The U.S. federal Electronic Fund Transfer Act (EFTA) and Regulation E cover errors and liabilities for electronic fund transfers, setting a 60-day notice period for consumers to report billing errors (consumer notification deadline).[19]
Verified

Cost Analysis Interpretation

For cost analysis, the biggest takeaway is that operational and risk initiatives can materially move the economics, since merchants and issuers collectively pay about $1.3 billion a year in prepaid and gift card processing fees while programs using stronger authentication cut fraud losses by 18% and reduce administration overhead by 0.9% annually after platform consolidation.

Risk & Fraud

1$2.5 billion in total losses were reported by U.S. consumers in 2023 for online fraud and scams categories that include impersonation and payment scams (loss amount from U.S. consumer reporting).[20]
Verified

Risk & Fraud Interpretation

In 2023, U.S. consumers reported $2.5 billion in losses from online fraud and scams tied to impersonation and payment scams, underscoring how severe and persistent risk and fraud threats remain in the gift card ecosystem.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

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APA
Emilia Santos. (2026, February 13). Gift Card Industry Statistics. Gitnux. https://gitnux.org/gift-card-industry-statistics
MLA
Emilia Santos. "Gift Card Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gift-card-industry-statistics.
Chicago
Emilia Santos. 2026. "Gift Card Industry Statistics." Gitnux. https://gitnux.org/gift-card-industry-statistics.

References

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gartner.com
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efgs.org
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statista.com
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lexology.com
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verizon.com
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thalesgroup.com
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pcisecuritystandards.org
  • 16pcisecuritystandards.org/document_library?category=pcidss
ibm.com
  • 17ibm.com/reports/data-breach
ncsl.org
  • 18ncsl.org/state-legislatures-news/details/escheat-unclaimed-property-and-gift-cards
ecfr.gov
  • 19ecfr.gov/current/title-12/chapter-I/subchapter-A/part-1005/subpart-B/section-1005.11
ic3.gov
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