---
title: "Trend — desk fan - Flapen"
canonical_url: "https://flapen.com/research/ae/computers/desk-fan/trend"
last_updated: "2026-08-02T05:44:22.531Z"
locale: en
meta:
  description: "Niche score 56/100 · $36K/yr market · 39K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 56/100 · $36K/yr market · 39K searches/yr. A failed launch gate (market size, growth, or returns) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — desk fan - Flapen"
---

# **desk fan**

**Worth a look**

Shows demand growing +158.8% this quarter, but a failed launch gate (market size, growth, or returns) keeps it on the watch list.

Market size 9Growth 96Conversion 17Competition 59Returns 41Price range 47Avg price 87Brand share 81Review moat 67Quality gap 72

**Growth**

**Incredible****+158.8%**

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

**Avg price**

**Great****$66.11**

avg listing price — sweet spot $15–$100

**Brand share**

**Great****55%**

top-5 brand share — no brand owns this niche

**Quality gap**

**Good****4.3★**

avg incumbent rating — lower means beatable quality

**Review moat**

**Good****804**

avg incumbent reviews — the moat a new listing must climb

**Competition**

**Good****50%**

top-5 click share — leaders hold, buyers still browse

**Price range**

**Okay****$31.65–$176.96**

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

**Returns**

**Okay****3.7%**

return rate — above 5% kills the launch gate

**Conversion**

**Bad****1.4%**

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

**Market size**

**Bad****$36K**

$36K/yr · 39K searches

**Signals**[** Trending**](https://flapen.com/research/niches?market=ae&signal=trending "Search growth > 100% (90d)") [** 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")