Gartner projects that by 2026, 80% of AI agents will impact at least one business process. In trading card operations, that adoption shows up in card scanning, listing moderation, and buyer targeting. AI spending and market growth are accelerating at the same time, with global digital collectibles spending projected to reach $10.2 billion by 2030 and the trading card games market expected to hit $14.4 billion by 2030.
Key Takeaways
- 2024 global spending on AI services is projected to reach $118.2 billion
- 2024 global spending on AI hardware is projected to reach $180.6 billion
- The global artificial intelligence software market is forecast to reach $300.7 billion in 2025
- In Gartner’s 2023 survey, 35% of organizations are already using generative AI in at least one work area
- In Gartner’s 2023 survey, 15% of organizations plan to use generative AI within 12 months
- In Gartner’s 2023 survey, 50% of organizations are in pilot mode or have no plan for generative AI yet
- By 2026, 100% of organizations will have used AI for at least one business process
- By 2030, 70% of enterprises will use AI-enabled virtual agents
- By 2025, 33% of knowledge work tasks will be transformed by genAI
AI spending is surging toward $639.9 billion in 2025, driving faster adoption, including generative AI in card markets.
Related reading
01 · Category
Market Size30 stats
01
2024 global spending on AI services is projected to reach $118.2 billion
02
2024 global spending on AI hardware is projected to reach $180.6 billion
03
The global artificial intelligence software market is forecast to reach $300.7 billion in 2025
04
The global artificial intelligence services market is forecast to reach $129.8 billion in 2025
05
Global AI spending is projected to reach $595.3 billion in 2024
06
Global AI spending is projected to reach $639.9 billion in 2025
07
Global AI software revenue grew 28% to $184.3 billion in 2023
08
Global AI services revenue grew 27% to $93.3 billion in 2023
09
Global AI hardware revenue grew 21% to $145.8 billion in 2023
10
McKinsey estimates generative AI could add $2.6 trillion to $4.4 trillion annually across industries
11
The global market for AI in financial services is forecast to reach $22.6 billion by 2030
12
The global market for AI in the financial services sector is estimated to be $10.9 billion in 2023
13
The global generative AI market size is projected to reach $109.4 billion by 2030
14
The global generative AI market size is estimated to be $22.7 billion in 2023
15
The worldwide AI software market is forecast to reach $298 billion in 2024
16
The worldwide AI software market is forecast to reach $500 billion by 2030
17
The global digital collectibles market size is projected to reach $10.2 billion by 2030
18
The digital collectibles market size is estimated at $2.7 billion in 2023
19
The global trading card games market size is projected to reach $14.4 billion by 2030
20
The trading card games market size is estimated at $5.2 billion in 2023
21
The global card games market is projected to reach $14.5 billion by 2030
22
The global trading card games market is estimated at $6.1 billion in 2023
23
The global sports trading cards market is projected to reach $3.6 billion by 2030
24
The sports trading cards market is estimated at $1.7 billion in 2023
25
The global collectibles market size is projected to reach $358.7 billion by 2032
26
The collectibles market size was valued at $151.1 billion in 2023
27
The global art collectibles market is projected to reach $148.6 billion by 2032
28
The global sports collectibles market is projected to reach $111.8 billion by 2032
29
The global AI in manufacturing market is forecast to reach $41.2 billion by 2032
30
The AI in manufacturing market was valued at $14.3 billion in 2023
Interpretation
Market Size Interpretation
Spending and market growth show AI is accelerating fast for the trading and collectibles ecosystem, with generative AI climbing from $22.7 billion in 2023 to $109.4 billion by 2030 while AI spending overall rises from $595.3 billion in 2024 to $639.9 billion in 2025.
02 · Category
User Adoption10 stats
01
In Gartner’s 2023 survey, 35% of organizations are already using generative AI in at least one work area
02
In Gartner’s 2023 survey, 15% of organizations plan to use generative AI within 12 months
03
In Gartner’s 2023 survey, 50% of organizations are in pilot mode or have no plan for generative AI yet
04
Gartner projects that by 2025, 80% of AI agents will impact at least one business process
05
Gartner projects that by 2026, 45% of enterprises will use AI agents to interact directly with customers
06
Gartner projects that by 2025, 25% of software engineering organizations will use AI copilots in production
07
Gartner predicts that by 2026, 80% of developer organizations will have adopted at least one AI capability
08
By 2024, 75% of global organizations will have used generative AI in some capacity
09
By 2024, 30% of organizations will use generative AI to create customer-facing content
10
CardMarket reported that its users trade millions of card listings each year (2023 annual report: 3.9 million sellers and 190 million unique visitors per year)
Interpretation
User Adoption Interpretation
With 35% of organizations already using generative AI in at least one work area and another 15% planning to adopt it within 12 months while only 50% are still piloting or undecided, the trading card industry is clearly moving fast toward broader AI use and customer-facing automation, including Gartner’s forecast that by 2026 45% of enterprises will use AI agents to interact directly with customers.
More related reading
03 · Category
Industry Trends5 stats
01
By 2026, 100% of organizations will have used AI for at least one business process
02
By 2030, 70% of enterprises will use AI-enabled virtual agents
03
By 2025, 33% of knowledge work tasks will be transformed by genAI
04
By 2025, 50% of new software will be developed using AI tooling
05
By 2026, 15% of all sales interactions will be assisted by AI agents
Interpretation
Industry Trends Interpretation
By 2026, with 100% of organizations already using AI and 15% of all sales interactions assisted by AI agents, the trading card industry is rapidly shifting from experimentation to everyday deployment.
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
Rachel Svensson. (2026, February 13). AI In The Trading Card Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-trading-card-industry-statistics
MLA
Rachel Svensson. "AI In The Trading Card Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-trading-card-industry-statistics.
Chicago
Rachel Svensson. 2026. "AI In The Trading Card Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-trading-card-industry-statistics.
Sources & references
21 datasets cited across this report · attribution is report-level
+13 additional datasets cited (not shown individually)