Home / Arts and Entertainment / Taiwan's Content Boom: Cross-Platform IP Goldmine
Taiwan's Content Boom: Cross-Platform IP Goldmine
6 Nov
Summary
- Taiwanese audiences heavily consume audiovisual, published, and gaming content.
- Romance genre shows strong cross-platform potential with comics and music.
- AI adoption in production faces cost savings, legal, and technical challenges.
Taiwanese audiences demonstrate a robust appetite for entertainment across film, television, music, publishing, and gaming. Recent research presented at the Taiwan Creative Content Fest highlights significant opportunities for developing intellectual property that spans multiple platforms. The annual cultural consumption survey revealed that 96% of respondents engaged with audiovisual content in 2025, with strong overlap between audiovisual and music consumption.
The romance genre has been identified as a key area for cross-platform development, showing connections with school-life stories, comics, popular music, and mobile games. Viewers of Taiwanese romantic dramas also frequently engage with foreign series, films, and animation, indicating a broad and interconnected media landscape.
Concurrently, the audiovisual production sector is evaluating the adoption of Artificial Intelligence. While AI offers potential cost savings in areas like post-production and visual effects, industry estimates place its on-set production use between 15% to 25%. Significant technical obstacles, including maintaining visual consistency and narrative continuity, persist.
Legal uncertainties surrounding AI are a major concern, with numerous AI-related cases emerging globally, including within the cultural and creative industries. Consumer resistance also presents a challenge, as a significant percentage of audiences express reservations about AI-generated content and virtual performers, with strong support for mandatory AI labeling in some markets.
Taiwan's Ministry of Culture has established guidelines for generative AI in arts and culture. However, questions remain regarding the accounting of upfront adoption costs for AI workflows and the development of Taiwan-specific case studies for copyright disputes and legal responsibilities in AI production.