Key Takeaways
- The global greeting cards market is forecast to grow at a 4.7% CAGR from 2024 to 2032
- In 2023, U.S. greeting cards & related products had 25,981 businesses
- In 2023, U.S. greeting cards & related products employed 58,112 people
- In 2024, 88% of marketers say AI will be important for their organization in the next 3 years
- In 2024, 42% of companies used generative AI for some function
- In 2024, 58% of organizations say they use AI for customer experience
- In 2023, McKinsey estimated generative AI could reduce labor costs by 60-70% for tasks in some customer operations functions
- In 2023, the average cost to produce a marketing content asset fell by 20% after adopting AI tools (company-level survey)
- In 2022, the EU AI Act introduced penalties of up to €30 million or 6% of global annual turnover for certain infringements
- OpenAI reported GPT-4 scored 86.4% on MMLU (5-shot)
- Google reported that DeepMind's AlphaFold2 achieved 87.0 on average TM-score for proteins in CASP14
- In a 2019 study, automated layout generation saved 30% of design time compared with manual design
- In 2024, U.S. consumers spent $247.6 per capita on cards, gift wrap, and stationery in 2022
- In 2023, 34% of consumers said they send greeting cards electronically at least once per month
- In 2023, 80% of consumers have used a voice assistant or plan to use one (Amazon/others ecosystem survey)
AI is accelerating greeting cards with faster creation and personalization, boosting growth from market expansion to tech adoption.
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Market Size
Market Size Interpretation
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Industry Trends
Industry Trends Interpretation
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Cost Analysis
Cost Analysis Interpretation
Performance Metrics
Performance Metrics Interpretation
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User Adoption
User Adoption Interpretation
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Market Demand
Market Demand Interpretation
How We Rate Confidence
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.
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
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
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
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Diana Reeves. (2026, February 13). AI In The Greeting Card Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-greeting-card-industry-statistics
Diana Reeves. "AI In The Greeting Card Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-greeting-card-industry-statistics.
Diana Reeves. 2026. "AI In The Greeting Card Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-greeting-card-industry-statistics.
References
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- 4ibisworld.com/united-states/industry-statistics/revenue-per-business/retail-sales-greeting-cards-industry/
- 5ibisworld.com/united-states/industry-statistics/profit/retail-sales-greeting-cards-industry/
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