---
title: "Trend — underwear women - Flapen"
canonical_url: "https://flapen.com/research/ae/fashion/underwear-women/trend"
last_updated: "2026-07-31T16:19:34.919Z"
locale: en
meta:
  description: "Niche score 58/100 · $152K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 58/100 · $152K/yr market. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — underwear women - Flapen"
---

# **underwear women**

**Worth a look**

Shows low returns (0.4%), but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 32Growth 22Conversion 10Competition 95Returns 98Price range 52Avg price 90Brand share 84Review moat 22Quality gap 85

**Returns**

**Incredible****0.4%**

return rate — above 5% kills the launch gate

**Competition**

**Incredible****19%**

top-5 click share — an open shelf

**Avg price**

**Great****$59.31**

avg listing price — sweet spot $15–$100

**Quality gap**

**Great****4.2★**

avg incumbent rating — lower means beatable quality

**Brand share**

**Great****51%**

top-5 brand share — no brand owns this niche

**Price range**

**Good****$19.47–$173.88**

cheapest to priciest tracked listing — scored on the share inside $15–$100

**Market size**

**Okay****$152K**

$152K/yr · 319K searches

**Growth**

**Bad****-5.6%**

90-day search growth — must beat 0% to launch

**Review moat**

**Bad****9,882.67**

avg incumbent reviews — the moat a new listing must climb

**Conversion**

**Bad****0.8%**

search→purchase rate — share of searches ending in a sale

**Signals**[** No Dominant Brand**](https://flapen.com/research/niches?market=ae&signal=no_dominant_brand "Top brand's click share < 20%") [** Low Review Barrier**](https://flapen.com/research/niches?market=ae&signal=low_review_barrier "Top brand's reviews < 500") [** High Price**](https://flapen.com/research/niches?market=ae&signal=high_price "Avg price > $50")