---
title: "Trend — esim for europe travel - Flapen"
canonical_url: "https://flapen.com/research/us/cell-phones-accessories/esim-for-europe-travel/trend"
last_updated: "2026-08-09T09:19:22.402Z"
locale: en
meta:
  description: "Niche score 55/100 · $10K/yr market · 32K searches/yr · $22.31 avg price. A small market ($10K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:description": "Niche score 55/100 · $10K/yr market · 32K searches/yr · $22.31 avg price. A small market ($10K/yr) keeps it on the watch list. Data updated Jul 2026."
  "og:title": "Trend — esim for europe travel - Flapen"
---

# **esim for europe travel**

**Worth a look**

Shows beatable incumbent ratings (3.6★), but a small market ($10K/yr) keeps it on the watch list.

Market size 2Growth 81Conversion 17Competition 76Returns 24Price range 75Avg price 93Brand share 46Review moat 86Quality gap 99

**Quality gap**

**Incredible****3.6★**

avg incumbent rating — lower means beatable quality

**Avg price**

**Great****$22.31**

avg listing price — sweet spot $15–$100

**Review moat**

**Great****274.92**

avg incumbent reviews — the moat a new listing must climb

**Growth**

**Great****+74.3%**

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

**Competition**

**Great****39%**

top-5 click share — an open shelf

**Price range**

**Great****$2.95–$51.47**

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

**Brand share**

**Okay****77%**

top-5 brand share — brands hold most of the demand

**Returns**

**Bad****5.2%**

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****$10K**

$10K/yr · 32K searches

**Signals**[** Low Review Barrier**](https://flapen.com/research/niches?market=us&signal=low_review_barrier "Top brand's reviews < 500") [** Quality Gap**](https://flapen.com/research/niches?market=us&signal=quality_gap "Avg rating < 4.0") [** High Returns**](https://flapen.com/research/niches?market=us&signal=high_returns "Return rate > 5%")

## Trend