the state of microdrama
/
2026 edition
inside the microdrama audience
the first time a microdrama operator has published this much first-party data — from two of its own apps — in one place.
read what we found
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the report
the bet
two years ago, holywater tech made a bet: that microdrama would become a category, and that ai would bepart of it.
to find out, we built two apps and ran them in parallel — then learned from in-product behavioral data from both, plus two dedicated user surveys. the most first-party microdrama data published in one place.
My Drama
live-action
My Muse
ai-generated
55
pages of findings
20
distinct findings
2
apps, run in parallel
4
data sources
what's inside
01
the audience
who actually watches — and how fast it’s changing.
02
watch habits
when, where, and how intensely the audience watches.
03
what makes users watch — and stay
discovery, retention, and the levers that move them.
04
the genres demand
what they watch, what they ask for, where the gap is.
05
ai microdrama has found its audience
how ai-generated series perform against live-action.
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