2026年游戏行业现状报告_52页_4mb

2026 State of the Game Industry Summary

Core Content

The 2026 State of the Game Industry report provides an in-depth look at the current state of the game development sector, focusing on demographics, layoffs, generative AI adoption, and the broader business and advocacy landscape. It reflects on the challenges and shifts in the industry, offering insights from professionals, educators, and students across the globe.

Main Points

Demographics

• Gender distribution: 64% of respondents are male, 24% female, and 8% nonbinary.
• LGBTQ+ representation: 28% of respondents identify as LGBTQ+, with 39% of those aged 18-34 and 31% in the US.
• Nationality and location: 54% of respondents are based in the US, down from 58% in 2025. A significant portion of respondents were born in the US but live elsewhere.
• Race and ethnicity (US only): 67% identified as White or Caucasian, 6% as Hispanic, Latino, or Spanish origin, 5% as Black, African, or Caribbean, 5% as East Asian, 2% as Southeast Asian, 1% as South Asian, and 1% as Middle Eastern or North African.
• Multi-ethnic backgrounds: 7% of respondents identified as multi-ethnic, with 83% being part-White or Caucasian, 36% part-East, South, or Southeast Asian, 26% part-Hispanic, Latino, or Spanish origin, and 20% part-Black, African, or Caribbean.

Industry Layoffs

• Layoff prevalence: 28% of respondents have been laid off in the past two years, with 33% in the US.
• Layoff reasons: The most common reasons cited were company restructuring (43%), budget cuts and market conditions (38%), and project cancellation (32%).
• Impact on job search: 48% of those laid off have not found new employment yet, with 36% of those laid off 1-2 years ago also in this category.
• Perceptions: 47% of currently employed professionals do not expect layoffs in the next year, 23% expect them, and 30% are unsure. Layoffs are more prevalent in AAA studios, where 19% of workers were laid off in the past year.
• Student concerns: 74% of students worry about future job prospects due to the rise in layoffs, increased competition, and AI displacement.

Generative AI Adoption

• Usage rates: 36% of game industry professionals use generative AI tools in their work, with men (41%) and older workers (46%) more likely to use them than women (35%) and younger workers (34%).
• Tools used: The most commonly used AI tools are large language models (LLMs) like ChatGPT (74%), followed by Google Gemini (37%), Microsoft Copilot (22%), and Midjourney (17%).
• Internal tools: 21% of respondents use internal AI tools, with AAA workers using them more frequently (30%).
• AI use purposes: Most AI use is for research/brainstorming (81%), daily tasks (47%), and code assistance (47%). Less frequent use includes asset generation (19%), procedural generation (10%), and player-facing features (5%).
• Company policies: 52% of respondents work at companies that use generative AI, and 78% are at companies with some form of internal policy on AI use. 15% said there was no policy, and 7% were unsure.
• Sentiment on AI: Over half (52%) of respondents believe generative AI is negatively impacting the industry, up from 30% in 2025. Visual and technical arts (64%), game design (63%), and game programming (59%) professionals are the most critical of AI's role in the industry. Conversely, 7% of respondents believe AI is positively impacting the industry, with executives and business professionals more likely to see a mixed impact (30%).

Key Information

Industry Structure

• Top job roles: Game design and narrative (22%), programming (17%), visual and technical arts (16%), and game production (11%).
• Experience levels: 54% of respondents have less than 10 years of experience in the industry, with QA and marketing roles having higher percentages.
• Studio types: 45% of respondents work at independent studios, 31% at AAA studios, 18% at AA studios, and 6% at co-development studios. Older indie studios (at least 5 years old) have 27% of respondents, while younger indie studios have 18%.

Education Perspective

• Educators and students: Over 100 educators and 50 students were surveyed. 58% of educators and 39% of students use generative AI for research, coding, or other academic purposes.
• Student concerns: Many students express worry about the impact of layoffs and AI on their future careers.
• Educator views: Some educators believe AI is a mixed impact, while others are more concerned about its negative effects, particularly on creative roles.

Challenges and Concerns

• Layoff impacts: Layoffs are affecting not only current professionals but also future developers and leaders.
• AI concerns: Critics raise issues around data sourcing, energy consumption, and job displacement, especially in creative roles.
• Ethical and legal considerations: Some respondents expressed concerns about the ethical, legal, environmental, and reputational implications of using generative AI.

Conclusion

The report highlights a challenging landscape for the game industry, with ongoing layoffs, a growing reliance on generative AI, and evolving perceptions about its role in the field. It underscores the need for better representation in the industry, more thoughtful use of AI, and a cautious approach to its integration into creative and business processes.