Find Your Franchise Brand's Market Share and Sales Rank With Korea FTC Disclosure Data
When we totaled Korea's coffee franchise category, the brand ranked 5th by store count came in 2nd by estimated sales. Here is how to run the same comparison for your own brand and use it in franchise recruitment ads.
The No. 5 coffee franchise by store count was No. 2 by sales
We totaled Korea's coffee franchise category using the Korea Fair Trade Commission (KFTC) franchise disclosures published in 2025, which report 2024 results. The category has 505 brands with at least one franchised store and 29,091 franchised stores in total. Multiplying each brand's store count by its average sales per store puts estimated category sales at about ₩7.26 trillion. Brands that disclosed sales account for 98% of franchised stores, so the sales ranking covers nearly the whole category.
Rank the same brands two ways and the top of the list changes. The brand ranked 5th by store count averages over ₩500 million in sales per store, more than three times the median across the 505 coffee brands (around ₩150 million), and ranks 2nd by estimated sales. The brand ranked 15th by store count averages under ₩100 million per store and drops to 42nd by sales.
| Store-count rank → estimated sales rank | Average sales per store | What it shows |
|---|---|---|
| 5th → 2nd | ₩500M+ | Reaches the top of the category through sales per store rather than store count. |
| 3rd → 5th | About ₩200M | Lowest sales per store among the five largest brands by store count. |
| 11th → 7th | ₩400M+ | Outside the top 10 by store count but inside it by sales. |
| 14th → 10th | ₩300M+ | Contributes more sales than its store count suggests. |
| 15th → 42nd | Under ₩100M | Low sales per store make its sales share much smaller than its store share. |
Across the category, the top 10 brands by store count hold 54% of franchised coffee stores and 66% of estimated sales. Only 8 brands appear in both top-10 lists. The 29,091 stores we summed from brand-level data match the coffee store count in the KFTC's separate industry statistics, so no brand was left out of the total.
Why the gap matters for franchise recruitment ads
Prospective franchisees in Korea typically check three figures in a brand's disclosure document: store count, average sales per store, and startup costs. A franchisor that ranks high by store count can lead its recruitment ads with scale and brand recognition. One that ranks higher by sales can lead with sales per store. You need both rankings to know which story fits your brand.
Sales per store alone can also mislead. The No. 5 brand above earns about half as much per pyeong (3.3 m², the standard Korean unit for retail floor area) as the No. 1 brand by store count. Its high sales per store may come from larger stores, which can also mean higher startup and rent costs. Before using sales figures in recruitment ads, check sales per store, sales per pyeong, and startup costs together.
How to check your brand's position in Neuro
The figures above come from summing the KFTC's brand-level store counts and average sales by category. The KFTC does not publish market share within a category, so it has to be calculated. Neuro workspaces for Korean organizations include KFTC franchise data by default, so you can ask for the same calculation in chat without connecting an account or issuing an API key.
- Category share: See each brand's share by store count and by estimated sales, with both rankings. The same answer shows whether the category total matches the KFTC's official industry statistics.
- Competitor comparison: Compare three or four brands near your rank on average sales per store, sales per pyeong, and startup costs (franchise fee, training, deposit, and other costs).
- Target provinces: Review your brand's share of franchised stores and the category's average sales by province. Provinces with high average sales and a low share for your brand are the first candidates for recruitment campaigns.
- Category trends: Compare the category's opening and closure rates with the previous year to prepare answers for questions prospective franchisees are likely to ask.
If Meta, Naver, or Karrot ad accounts are connected to the same workspace, you can check how existing franchise inquiry campaigns performed in those candidate provinces, including spend and conversions, in the same conversation.
Prompts to try
Replace the bracketed brand and category names with your own. Categories follow the KFTC classification (coffee, chicken, convenience stores, and so on). If a name matches more than one category, Neuro shows the candidates first.
Before you put these numbers in an ad or report
- This is share among franchise brands. Chains that run only company-owned stores are not in the data, and store counts exclude company-owned stores. Write "share of franchised coffee stores," not "coffee market share."
- Estimated sales are store count multiplied by average sales per store. They are not the franchisor's actual revenue, and brands that did not disclose sales are excluded from the sales ranking.
- Data published in year N reflects results from year N-1. The figures in this post are "published in 2025 (2024 results)."
- If you use sales figures in franchise recruitment ads, keep the source year and calculation method on record and have legal review the final copy. Korea's Franchise Business Act requires franchisors to back the revenue and earnings information they give prospective franchisees with supporting evidence.
Sources
- Korea Fair Trade Commission: Franchise Business Transactions
KFTC portal publishing franchise disclosure documents, brand store counts, average sales, and startup costs.
- Public Data Portal: KFTC franchise store counts by brand
Annual brand-level store counts, new openings, contract expirations and terminations, and average sales. This post's coffee category totals use this data.
- Public Data Portal: KFTC average sales by province and industry
Average sales per franchised store and per unit of floor area by province and industry.
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