By 2030, the generative AI market is projected to hit $1,167.8 billion, yet many greeting card businesses are still juggling handwritten charm with data heavy personalization. Meanwhile, U.S. greeting cards and related products moved 978 million units in 2023, even as 58% of organizations say they use AI for customer experience and 88% of marketers expect AI to matter in the next three years. The tension between “traditional card” volume and AI fueled targeting is where the real change is showing up.
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.
Related reading
01 · Category
Market Size9 stats
01
The global greeting cards market is forecast to grow at a 4.7% CAGR from 2024 to 2032
02
In 2023, U.S. greeting cards & related products had 25,981 businesses
03
In 2023, U.S. greeting cards & related products employed 58,112 people
04
In 2023, U.S. greeting cards & related products industry revenue per business was about $177,000
05
In 2023, the U.S. greeting cards & related products industry had a profit margin of 9.2%
06
In 2023, the U.S. greeting cards & related products industry volume was 978 million units
07
In 2024, the global chatbot market was estimated at $5.0 billion and projected to reach $18.1 billion by 2030, supporting AI-assisted customer service for retailers selling greeting cards
08
In 2024, the global natural language processing (NLP) market was estimated at $26.0 billion and projected to grow to $272.4 billion by 2032, supporting automated generation of greeting card text and templates
09
In 2022, worldwide spending on public cloud services reached $563 billion, providing the compute base for image and text generation workflows
Interpretation
Market Size Interpretation
For the Market Size perspective, the global greeting cards market is set to expand at a 4.7% CAGR from 2024 to 2032 while rising investments in AI such as a chatbot market projected to grow from $5.0 billion in 2024 to $18.1 billion by 2030 and an NLP market forecast to hit $272.4 billion by 2032 point to growing capacity for AI-driven text and customer support in the industry.
02 · Category
Industry Trends15 stats
01
In 2024, 88% of marketers say AI will be important for their organization in the next 3 years
02
In 2024, 42% of companies used generative AI for some function
03
In 2024, 58% of organizations say they use AI for customer experience
04
In 2024, 50% of marketing leaders planned to implement generative AI within 12 months
05
In 2023, 65% of consumers said they prefer messages that match their interests
06
The global AI software market is forecast to grow to $407.0 billion by 2027
07
In 2024, 76% of marketers believe AI will help personalize marketing
08
In 2024, 58% of companies plan to use AI for inventory optimization
09
By 2030, the generative AI market is projected to reach $1,167.8 billion
10
1.0% increase in nonprofit card submissions from 2022 to 2023 in the U.S. Greeting Card Industry (the industry group tracked by IBISWorld equivalent data series) indicates modest year-over-year volume growth during the period studied
11
64% of marketers say they plan to use AI to improve customer targeting and segmentation within 12 months
12
Up to 90% of data in most organizations is unstructured, making AI natural-language and generative approaches central to content generation workflows
13
The U.S. card and gift wrap retail channel includes more than 25,000 firms, with small businesses making up a large share of establishments in the category
14
In 2024, 25% of organizations reported AI model security incidents in the past 12 months, raising the importance of safe creative generation and content governance
15
In 2024, 46% of organizations reported that they have implemented AI governance policies, indicating increasing compliance structures relevant to AI-generated greeting card content
Interpretation
Industry Trends Interpretation
Industry Trends in the greeting card space are accelerating fast, with 88% of marketers expecting AI to be important for their organization within the next 3 years and 46% already having AI governance policies in place to manage the rise of AI enabled, more personalized customer messaging.
03 · Category
Cost Analysis6 stats
01
In 2023, McKinsey estimated generative AI could reduce labor costs by 60-70% for tasks in some customer operations functions
02
In 2023, the average cost to produce a marketing content asset fell by 20% after adopting AI tools (company-level survey)
03
In 2022, the EU AI Act introduced penalties of up to €30 million or 6% of global annual turnover for certain infringements
04
In 2024, GDPR fines under Article 83 can reach up to €20 million or 4% of global annual turnover
05
In 2023, Ponemon/IBM reported that breaches with malicious attacks cost $1.9 million more than those without
06
In 2024, OpenAI announced DALL·E image generation costs $0.04per image (varies by model)
Interpretation
Cost Analysis Interpretation
For cost analysis in the greeting card industry, AI is clearly cutting expenses, with McKinsey estimating 2023 labor cost reductions of 60 to 70% and a 20% drop in average marketing content production costs after adopting AI tools, even as compliance risks remain costly with potential fines up to €30 million under the EU AI Act and up to €20 million under GDPR.
More related reading
04 · Category
Performance Metrics5 stats
01
OpenAI reported GPT-4 scored 86.4% on MMLU (5-shot)
02
Google reported that DeepMind's AlphaFold2 achieved 87.0 on average TM-score for proteins in CASP14
03
In a 2019 study, automated layout generation saved 30% of design time compared with manual design
04
In 2024, Gartner reported that chatbots can reduce customer service costs by up to 30%
05
In 2024, Gartner forecast that AI will automate 40% of customer service interactions by 2026
Interpretation
Performance Metrics Interpretation
Performance metrics across AI show clear value in the greeting card industry, with findings ranging from a 30% reduction in design time through automated layout generation to Gartner’s forecast that AI will automate 40% of customer service interactions by 2026 and chatbots can cut customer service costs by up to 30%.
05 · Category
User Adoption6 stats
01
In 2024, U.S. consumers spent $247.6per capita on cards, gift wrap, and stationery in 2022
02
In 2023, 34% of consumers said they send greeting cards electronically at least once per month
03
In 2023, 80% of consumers have used a voice assistant or plan to use one (Amazon/others ecosystem survey)
04
In 2024, 37% of consumers said they use AI for shopping recommendations
05
In 2024, 60% of consumers said they would be comfortable with AI-generated content if it is clearly labeled
06
In 2024, 73% of customer service leaders said they are actively using AI tools for faster responses, supporting AI chat and recommendation experiences on greeting card retailer sites
Interpretation
User Adoption Interpretation
Across the user adoption landscape, consumers and retailers are already embracing AI, with 60% of consumers comfortable with clearly labeled AI-generated content and 73% of customer service leaders actively using AI tools for faster responses, while 37% say they use AI for shopping recommendations in 2024.
06 · Category
Market Demand3 stats
01
57% of consumers said they are more likely to engage with marketing messages that have been personalized to them
02
In 2023, U.S. personal income increased by 4.4% year over year, supporting consumer discretionary spend such as greeting cards and stationery
03
In 2024, 28% of consumers said they trust brands more when they provide relevant recommendations, supporting AI-driven personalization in greeting card suggestions
Interpretation
Market Demand Interpretation
For the market demand angle, the clearest trend is that 57% of consumers are more likely to engage with personalized marketing messages, and this strong pull for relevance is reinforced by a 4.4% year over year rise in U.S. personal income and a 28% increase in trust when brands offer relevant recommendations in 2024.
Reference
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.
APA
Diana Reeves. (2026, February 13). AI In The Greeting Card Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-greeting-card-industry-statistics
MLA
Diana Reeves. "AI In The Greeting Card Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-greeting-card-industry-statistics.
Chicago
Diana Reeves. 2026. "AI In The Greeting Card Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-greeting-card-industry-statistics.
Sources & references
44 datasets cited across this report · attribution is report-level
+19 additional datasets cited (not shown individually)