AI-Powered "Manhua Dramas" Gain Momentum with ByteDance and Kuaishou's Support, Leading AI Monetization

Deep News
Nov 25, 2025

A new content format driven by AI technology—"manhua dramas"—is rapidly emerging as a breakout trend in this year's content market. Backed by tech giants like ByteDance and KUAISHOU-W, this hybrid of anime-style visuals and short drama pacing is attracting capital and creators with its low-cost, high-efficiency production advantages. It also provides a clear and scalable monetization path for multimodal AI models.

According to market reports, GF Securities highlighted in a November 25 analysis that the manhua drama market has experienced explosive growth this year, particularly during the summer. As paid promotion models for live-action short dramas plateau, many producers and marketers are shifting to the more cost-effective manhua drama sector. In response, ByteDance's platforms have swiftly expanded their offerings, launching a dedicated manhua drama channel within its Hongguo Short Drama app and introducing a standalone "Hongguo Free Manhua Drama" app in November.

The key driver behind this shift is AI's transformative impact on production efficiency. AI-powered manhua dramas reduce production cycles from one to two months under traditional methods to under a month while significantly cutting costs. For companies like ByteDance and KUAISHOU-W, which possess both large-scale AI models and content distribution platforms, this creates a closed-loop business model—from AI services to content monetization—signaling AI's evolution from a "niche interest" tool to an essential productivity asset.

This content evolution has also drawn in copyright holders and professional institutions. IP owners such as Yuewen and Tomato Novel are opening vast libraries of web novels for manhua adaptations, while platforms incentivize creators through traffic support, revenue subsidies, and investments. This indicates the market is transitioning from its initial "wild growth" phase to a more industrialized and high-quality competitive stage. GF Securities upgraded the sector to a "buy" rating, noting that AI manhua dramas have shifted from an "interest-based" tool to a "core production and monetization tool."

**Traffic Redistribution Fuels Manhua Drama Growth** The rise of manhua dramas stems from structural shifts and traffic reallocation within the short drama market. GF Securities projects the micro-drama market to reach ¥63.43 billion by 2025, but growth patterns are diverging. Free ad-supported (IAA) short dramas, led by Hongguo Short Drama (which hit 245 million MAU in October 2025), are thriving, while paid (IAP) live-action dramas face slowing growth and rising costs. Production costs for live-action dramas have surged from ¥200,000–300,000 to ¥700,000–800,000 per title, pushing producers toward manhua dramas' ultra-low barriers and cost efficiency.

Data shows this transition mirrors the early shift from web novels to short dramas. Since mid-2024, manhua drama players have multiplied, with promotional spending peaking this summer. Ocean Engine data reveals daily ad spending hit ¥4 million in August, with revenue scaling 12x and top titles earning nearly ¥8 million—validating the business model.

**AI as the Core Enabler: Cutting Costs and Boosting Efficiency** Manhua dramas' competitive edge lies in AI-driven cost and efficiency gains. Mainstream formats—meme-style animations, dynamic comics, and AI-generated dramas—all cost far less than live-action shorts, with meme-style productions as low as ¥30,000–40,000 per title. Unlike early AI uses in live-action VFX, AI now streamlines the entire manhua workflow, from script adaptation and storyboarding to image generation, animation, and dubbing. GF Securities notes that anime's simpler lines and lower motion precision requirements make it ideal for current AI-generated content.

AI tools compress production timelines from 50–60 days to under a month, doubling efficiency. For example, China Literature's AI-adapted *Immortal Returns: One Hand Dominates the Mortal World* topped Douyin's trending chart, demonstrating how industrialized production lowers entry barriers, enabling small teams to fuel supply explosions.

**Platforms' Closed-Loop Strategy: From Tech to Monetization** ByteDance and KUAISHOU-W's aggressive moves reflect a strategy to merge AI tech with content ecosystems. These firms leverage leading multimodal models (e.g., ByteDance's Seed series, KUAISHOU-W's Koling) and dominant distribution channels (Douyin, Kuaishou, Hongguo). By providing AI tools, open IP libraries (e.g., Tomato Novel), and subsidies, platforms incentivize output. Douyin, for instance, offers higher revenue shares for AI-heavy genres like hyper-realistic or 2D/3D manhua dramas versus meme-style content. This approach enriches platforms' libraries, drives traffic, and iterates AI models—transitioning them from consumer-facing "interest tools" to B2B "production tools" with direct ROI.

This model offers a blueprint for generative AI commercialization: leveraging robust content ecosystems as downstream outlets, then reinvesting profits into upstream R&D for a virtuous cycle.

**Market Outlook: IP Expansion and Diversification** Looking ahead, the manhua drama market is poised for quality upgrades and audience expansion. Current content skews male-centric, but with gender parity in the broader short drama market, female-oriented themes represent the next growth frontier. To support supply, platforms like Yuewen, Zhihu, and Qimao are unlocking tens of thousands of IPs and establishing adaptation funds.

While regulatory policies are tightening—requiring manhua dramas to adopt filing systems akin to live-action shorts—compliance costs are offset by the sector's IP resources, AI advancements, and platform strategies. As a frontier for AI commercialization, manhua dramas' market potential may exceed expectations. Investors should monitor firms with deep stakes in AI production, IP licensing, and platform distribution.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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