AI In The Greeting Card Industry Statistics

GITNUXREPORT 2026

AI In The Greeting Card Industry Statistics

With the global greeting cards market forecast to climb at a 4.7% CAGR from 2024 to 2032, the real story is how AI is already reshaping every step from personalization to production efficiency, including 42% of companies using generative AI and 58% of organizations using AI for customer experience. Flip through the page to see how 76% of marketers expect AI to personalize marketing, why EU and GDPR enforcement makes governance unavoidable, and what it means for US card volumes that still move at roughly 978 million units.

44 statistics44 sources6 sections8 min readUpdated 5 days ago

Key Statistics

Statistic 1

The global greeting cards market is forecast to grow at a 4.7% CAGR from 2024 to 2032

Statistic 2

In 2023, U.S. greeting cards & related products had 25,981 businesses

Statistic 3

In 2023, U.S. greeting cards & related products employed 58,112 people

Statistic 4

In 2023, U.S. greeting cards & related products industry revenue per business was about $177,000

Statistic 5

In 2023, the U.S. greeting cards & related products industry had a profit margin of 9.2%

Statistic 6

In 2023, the U.S. greeting cards & related products industry volume was 978 million units

Statistic 7

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

Statistic 8

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

Statistic 9

In 2022, worldwide spending on public cloud services reached $563 billion, providing the compute base for image and text generation workflows

Statistic 10

In 2024, 88% of marketers say AI will be important for their organization in the next 3 years

Statistic 11

In 2024, 42% of companies used generative AI for some function

Statistic 12

In 2024, 58% of organizations say they use AI for customer experience

Statistic 13

In 2024, 50% of marketing leaders planned to implement generative AI within 12 months

Statistic 14

In 2023, 65% of consumers said they prefer messages that match their interests

Statistic 15

The global AI software market is forecast to grow to $407.0 billion by 2027

Statistic 16

In 2024, 76% of marketers believe AI will help personalize marketing

Statistic 17

In 2024, 58% of companies plan to use AI for inventory optimization

Statistic 18

By 2030, the generative AI market is projected to reach $1,167.8 billion

Statistic 19

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

Statistic 20

64% of marketers say they plan to use AI to improve customer targeting and segmentation within 12 months

Statistic 21

Up to 90% of data in most organizations is unstructured, making AI natural-language and generative approaches central to content generation workflows

Statistic 22

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

Statistic 23

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

Statistic 24

In 2024, 46% of organizations reported that they have implemented AI governance policies, indicating increasing compliance structures relevant to AI-generated greeting card content

Statistic 25

In 2023, McKinsey estimated generative AI could reduce labor costs by 60-70% for tasks in some customer operations functions

Statistic 26

In 2023, the average cost to produce a marketing content asset fell by 20% after adopting AI tools (company-level survey)

Statistic 27

In 2022, the EU AI Act introduced penalties of up to €30 million or 6% of global annual turnover for certain infringements

Statistic 28

In 2024, GDPR fines under Article 83 can reach up to €20 million or 4% of global annual turnover

Statistic 29

In 2023, Ponemon/IBM reported that breaches with malicious attacks cost $1.9 million more than those without

Statistic 30

In 2024, OpenAI announced DALL·E image generation costs $0.04 per image (varies by model)

Statistic 31

OpenAI reported GPT-4 scored 86.4% on MMLU (5-shot)

Statistic 32

Google reported that DeepMind's AlphaFold2 achieved 87.0 on average TM-score for proteins in CASP14

Statistic 33

In a 2019 study, automated layout generation saved 30% of design time compared with manual design

Statistic 34

In 2024, Gartner reported that chatbots can reduce customer service costs by up to 30%

Statistic 35

In 2024, Gartner forecast that AI will automate 40% of customer service interactions by 2026

Statistic 36

In 2024, U.S. consumers spent $247.6 per capita on cards, gift wrap, and stationery in 2022

Statistic 37

In 2023, 34% of consumers said they send greeting cards electronically at least once per month

Statistic 38

In 2023, 80% of consumers have used a voice assistant or plan to use one (Amazon/others ecosystem survey)

Statistic 39

In 2024, 37% of consumers said they use AI for shopping recommendations

Statistic 40

In 2024, 60% of consumers said they would be comfortable with AI-generated content if it is clearly labeled

Statistic 41

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

Statistic 42

57% of consumers said they are more likely to engage with marketing messages that have been personalized to them

Statistic 43

In 2023, U.S. personal income increased by 4.4% year over year, supporting consumer discretionary spend such as greeting cards and stationery

Statistic 44

In 2024, 28% of consumers said they trust brands more when they provide relevant recommendations, supporting AI-driven personalization in greeting card suggestions

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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.

Market Size

1The global greeting cards market is forecast to grow at a 4.7% CAGR from 2024 to 2032[1]
Verified
2In 2023, U.S. greeting cards & related products had 25,981 businesses[2]
Verified
3In 2023, U.S. greeting cards & related products employed 58,112 people[3]
Verified
4In 2023, U.S. greeting cards & related products industry revenue per business was about $177,000[4]
Verified
5In 2023, the U.S. greeting cards & related products industry had a profit margin of 9.2%[5]
Single source
6In 2023, the U.S. greeting cards & related products industry volume was 978 million units[6]
Directional
7In 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[7]
Verified
8In 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[8]
Directional
9In 2022, worldwide spending on public cloud services reached $563 billion, providing the compute base for image and text generation workflows[9]
Verified

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.

Cost Analysis

1In 2023, McKinsey estimated generative AI could reduce labor costs by 60-70% for tasks in some customer operations functions[25]
Verified
2In 2023, the average cost to produce a marketing content asset fell by 20% after adopting AI tools (company-level survey)[26]
Verified
3In 2022, the EU AI Act introduced penalties of up to €30 million or 6% of global annual turnover for certain infringements[27]
Single source
4In 2024, GDPR fines under Article 83 can reach up to €20 million or 4% of global annual turnover[28]
Verified
5In 2023, Ponemon/IBM reported that breaches with malicious attacks cost $1.9 million more than those without[29]
Verified
6In 2024, OpenAI announced DALL·E image generation costs $0.04 per image (varies by model)[30]
Directional

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.

Performance Metrics

1OpenAI reported GPT-4 scored 86.4% on MMLU (5-shot)[31]
Single source
2Google reported that DeepMind's AlphaFold2 achieved 87.0 on average TM-score for proteins in CASP14[32]
Directional
3In a 2019 study, automated layout generation saved 30% of design time compared with manual design[33]
Directional
4In 2024, Gartner reported that chatbots can reduce customer service costs by up to 30%[34]
Verified
5In 2024, Gartner forecast that AI will automate 40% of customer service interactions by 2026[35]
Verified

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%.

User Adoption

1In 2024, U.S. consumers spent $247.6 per capita on cards, gift wrap, and stationery in 2022[36]
Verified
2In 2023, 34% of consumers said they send greeting cards electronically at least once per month[37]
Verified
3In 2023, 80% of consumers have used a voice assistant or plan to use one (Amazon/others ecosystem survey)[38]
Verified
4In 2024, 37% of consumers said they use AI for shopping recommendations[39]
Verified
5In 2024, 60% of consumers said they would be comfortable with AI-generated content if it is clearly labeled[40]
Verified
6In 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[41]
Verified

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.

Market Demand

157% of consumers said they are more likely to engage with marketing messages that have been personalized to them[42]
Verified
2In 2023, U.S. personal income increased by 4.4% year over year, supporting consumer discretionary spend such as greeting cards and stationery[43]
Directional
3In 2024, 28% of consumers said they trust brands more when they provide relevant recommendations, supporting AI-driven personalization in greeting card suggestions[44]
Single source

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.

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

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.

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