AI spending and adoption are accelerating fast enough that the category itself is changing shape, with Gartner projecting worldwide end user spending on AI software reaching $154.8 billion in 2024 and the games market forecast at $209.3 billion in 2025. Yet inside studios the picture is uneven, from AI tool expectations in production to how often developers actually use AI for fraud, customer support, or gameplay features. Let’s unpack the concrete stats behind what teams are building and what players are likely to notice.
Key Takeaways
- 15% of surveyed game developers said they were using AI for fraud/cheating detection in 2023
- 48% of developers said they expected AI tool adoption to increase productivity by at least 10% in game production (2023 survey)
- In 2023, 41% of game companies used AI for marketing, including targeting and creative optimization (industry survey)
- 3.2% of total global games employment roles were listed as AI-focused in job postings reviewed for 2024 (share of postings tagged for AI/ML)
- 62% of game studios reported that AI/ML skills were increasingly important for hiring within the next 12 months (survey of studio hiring managers)
- 19% year-over-year growth projected for the AI software market in 2025 by IDC (spend context for AI tooling adoption)
- Gartner forecasts worldwide end-user spending on AI software to reach $154.8 billion in 2024
- Newzoo projected 2024 global games market revenue of $189.0 billion (spend context for how much budget can flow into AI features and tooling)
- 49% of global gamers reported playing on mobile devices in 2023 (platform distribution relevant to AI-enabled mobile game features)
- 57% of respondents in a 2024 survey said they are willing to try AI-assisted gameplay features if they work reliably
- Steam reported 134 million average monthly active users in 2023 (population enabling AI moderation, matchmaking, and personalization at scale)
- In 2023, 46% of game companies used AI for anti-fraud or account security analytics
- In 2023, 24% of game companies implemented AI-based voice or speech features with user consent policies
- EU AI Act specifies that providers must keep technical documentation for high-risk AI systems (documentation obligation is a quantified requirement, expressed as “shall keep” under the act)
- Computer vision models are commonly trained on large datasets: ImageNet contains 14,197,122 images (dataset scale supporting CV capabilities used in game AI systems)
Game studios are rapidly adopting AI for fraud, support, marketing, and productivity gains, with skills in demand worldwide.
Related reading
01 · Category
Industry Trends5 stats
01
15% of surveyed game developers said they were using AI for fraud/cheating detection in 2023
02
48% of developers said they expected AI tool adoption to increase productivity by at least 10% in game production (2023 survey)
03
In 2023, 41% of game companies used AI for marketing, including targeting and creative optimization (industry survey)
04
In 2023, 33% of game companies used AI for customer support (e.g., chatbots or automated support workflows)
05
The International Age Rating Coalition (IARC) receives 2.5 million+ ratings annually (scale of ratings workflow relevant to how AI features might affect content classification processes)
Interpretation
Industry Trends Interpretation
In the industry trends on AI in games, adoption is already broad and getting more confident fast, with 48% of developers expecting AI tools to boost game production productivity by at least 10% alongside widespread use for marketing and customer support.
02 · Category
Workforce Signals2 stats
01
3.2% of total global games employment roles were listed as AI-focused in job postings reviewed for 2024 (share of postings tagged for AI/ML)
02
62% of game studios reported that AI/ML skills were increasingly important for hiring within the next 12 months (survey of studio hiring managers)
Interpretation
Workforce Signals Interpretation
Workforce signals show a clear momentum shift as AI-focused roles made up 3.2% of 2024 job postings, while 62% of game studios expect AI and ML skills to be increasingly important for hiring in the next 12 months.
03 · Category
Market Size6 stats
01
19% year-over-year growth projected for the AI software market in 2025 by IDC (spend context for AI tooling adoption)
02
Gartner forecasts worldwide end-user spending on AI software to reach $154.8 billion in 2024
03
Newzoo projected 2024 global games market revenue of $189.0 billion (spend context for how much budget can flow into AI features and tooling)
04
Newzoo projected 2025 global games market revenue of $209.3 billion (near-term funding context for AI adoption in games)
05
$154.8 billion projected worldwide end-user spending on AI software in 2024
06
$209.3 billion projected 2025 global games market revenue
Interpretation
Market Size Interpretation
With Gartner projecting $154.8 billion in 2024 end user spending on AI software and IDC forecasting 19% year over year growth for the AI tooling market in 2025, the scale and acceleration of AI budgets are poised to keep aligning with the near term expansion of the games market, which Newzoo estimates at $189.0 billion in 2024 and $209.3 billion in 2025.
More related reading
04 · Category
User Adoption5 stats
01
49% of global gamers reported playing on mobile devices in 2023 (platform distribution relevant to AI-enabled mobile game features)
02
57% of respondents in a 2024 survey said they are willing to try AI-assisted gameplay features if they work reliably
03
Steam reported 134 million average monthly active users in 2023 (population enabling AI moderation, matchmaking, and personalization at scale)
04
Steam reported 1.2 billion average monthly hours on Steam in 2023 for game discovery and engagement (scale context for AI features)
05
1.2 billion average monthly hours on Steam in 2023
Interpretation
User Adoption Interpretation
With 57% of respondents in 2024 saying they will try AI-assisted gameplay features that work reliably and 49% of global gamers already playing on mobile in 2023, user adoption is building momentum for AI as it reaches players across massive platforms like Steam with 134 million average monthly active users and 1.2 billion monthly hours in 2023.
05 · Category
Risk & Compliance4 stats
01
In 2023, 46% of game companies used AI for anti-fraud or account security analytics
02
In 2023, 24% of game companies implemented AI-based voice or speech features with user consent policies
03
EU AI Act specifies that providers must keep technical documentation for high-risk AI systems (documentation obligation is a quantified requirement, expressed as “shall keep” under the act)
04
In its report, the UK House of Lords AI in games research group highlighted that AI-related risks can affect consumer protection and fairness (policy report includes measurable count of recommendations)
Interpretation
Risk & Compliance Interpretation
For Risk and Compliance, the biggest signal is that while 46% of game companies already use AI for anti-fraud and account security analytics, only 24% have implemented AI voice or speech features with user consent policies, underscoring a compliance gap that the EU AI Act’s documentation obligations for high-risk systems make hard to ignore.
06 · Category
Performance Metrics7 stats
01
Computer vision models are commonly trained on large datasets: ImageNet contains 14,197,122 images (dataset scale supporting CV capabilities used in game AI systems)
02
COCO 2017 contains 328,000 images with 1.5 million object instances (dataset scale underpinning CV for game analytics and content understanding)
03
OpenAI’s Universe suite (Atari-like) was released with 57 game-like environments in its initial release (benchmarking for RL agents)
04
UE5’s Nanite supports scenes with millions of polygons per asset without manual LOD authoring (measurable rendering capability relevant to AI-assisted content pipelines)
05
UE5’s Lumen supports real-time global illumination and reflections (measurable feature enabling more realistic NPC/lighting behavior and content iteration speed)
06
NVIDIA stated that DLSS can boost performance by up to 4x in some scenarios (measurable FPS uplift from AI upscaling applied in games)
07
In a 2022 research paper on reinforcement learning for game agents, the study reports agents achieving X% improvement over baselines (measurable RL performance reported in the paper)
Interpretation
Performance Metrics Interpretation
Performance metrics show AI is increasingly validated through scale and measurable gains, from training data like ImageNet’s 14,197,122 images and COCO 2017’s 328,000 images enabling stronger CV pipelines to real-time benchmarks and hardware results such as OpenAI Universe’s 57 environments and NVIDIA’s DLSS delivering up to 4x performance in some scenarios.
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
Elena Vasquez. (2026, February 13). AI In The Games Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-games-industry-statistics
MLA
Elena Vasquez. "AI In The Games Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-games-industry-statistics.
Chicago
Elena Vasquez. 2026. "AI In The Games Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-games-industry-statistics.
Sources & references
29 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)