Hotels in Toronto, London and Sydney: what the count and chain share tell an investor

Counted by listing, branded hotels are a minority in all three cities: about 9% of Toronto's hotels, 12% of those nearest London's centre and 19% of those nearest Sydney's belong to a chain, according to xMap's places database (November 2026). That does not mean independents hold most of the rooms. A listing count gives a 30-room guest house and a 600-room tower the same weight, so an investor should treat chain share by count as a map of who operates where, not as a measure of market power.

This article is for hotel investors, asset managers and advisers who want a quick read of a city before they look at a specific property. It explains what the figures cover, the four checks to run before trusting a chain share, and how to keep the read current.

The three cities in brief

2,408London, listed

543Sydney, listed

312Toronto, listed

• Toronto. The figures cover all 312 hotels in the circle. 29 belong to a chain and 283 are independent. Marriott International leads with 7, then Hyatt with 4 and Hilton with 3. 167 carry a rating, averaging 3.8, and 47 of those are rated 4.5 or more.
• London. The figures are worked out from the 447 hotels nearest the centre, a little under a fifth of the 2,408 listed. Of those 447, 52 belong to a chain; Premier Inn leads with 9, The Z Hotels has 8 and Grange Hotels 5. 237 carry a rating, averaging 4.1, with 94 at 4.5 or more.
• Sydney. The figures come from the 414 nearest the centre, of 543 listed. 78 of them belong to a chain, the highest share of the three. Accor appears with 23, InterContinental Hotels Group with 8 and Rydges Hotels & Resorts with 5. 320 carry a rating, averaging 4.1, with 77 at 4.5 or more.

Why a count-based chain share looks low

Investors who know these cities expect brands to dominate central hotel supply, and by room count they may well do so. The listing data counts doors, not keys. Three things push the branded share down when you count doors:

• Small properties count the same as large ones. A city centre has many small hotels and guest houses. Each is one listing, as is each branded tower.
• The category is broad. What a places database calls a hotel can take in smaller lodging formats too. Look at the names before assuming every listing competes with a full-service hotel.
• Group names hide brands. A chain name in the data can be the group rather than the brand on the door. Sydney's 23 under Accor may cover several of its brands, so a brand-by-brand view needs the hotel names, not only the chain field.

None of this makes the figure wrong. It answers a different question: how many separate places a guest could book, and how many of them are run under a shared name.

Four checks before you quote a chain share

1. Check what the share is a share of. Toronto's 9% is of every hotel in its circle. London's and Sydney's are of the few hundred nearest the centre. Never apply London's share to the full 2,408.
2. Check rating coverage. Only about half of Toronto's 312 hotels and about half of London's 447 nearest carry a rating, against roughly three quarters of Sydney's 414. Averages built on half a market can move a lot when the other half is rated.
3. Check the openings figure. Toronto shows 94 of 310 dated hotels opening in the twelve months before November 2026, against 2 in London and 8 in Sydney. A jump that large usually needs explaining: new small lodging listings, re-listings or late entries can all carry recent dates. Open a sample before you call it a supply wave.
4. Check stars where the data has them. Nearby places returns a hotel's star rating when it is known. Splitting the list by stars gives a far fairer picture of who competes with a given property than the chain flag alone.

A made-up example: screening a conversion target

Suppose, for illustration only, an investor is weighing an independent 90-room hotel near the centre of Sydney with a view to putting it under a brand. The city read gives three useful facts. Branded hotels already make up a larger share near Sydney's centre than in the other two cities, so a flag is not unusual there. One group name accounts for most of those branded listings, which matters for which brands are already crowded. And three quarters of the nearby hotels carry a rating, so the target's own rating can be placed against a well-filled spread.

What the city read cannot say is whether the conversion pays: rates, occupancy and room counts are not in the places data. The investor's next step is the street view. Pull every hotel within 1 km of the target with its stars, rating and brand, and check whether the strongest rated rivals are branded or independent.

Mistakes to avoid

• Reading a low branded share as weak brands. It is a count of listings, not of rooms or revenue.
• Treating Toronto's openings as confirmed new supply without checking a sample.
• Comparing Toronto's whole-circle figures with London's centre-only figures as if they covered the same ground.
• Ranking properties by rating without the number of reviews behind each one. A small guest house with a handful of glowing reviews can outrank a large hotel with thousands.

Getting the same read for any city with an AI employee

Investors rarely look at one city once. In xMap Flows, an AI employee can produce this read for the markets you follow and send it monthly:

1. Schedule: monthly.
2. Area of interest: the cities or districts in your pipeline.
3. Nearby places: Hotel, with each listing's brand, chain flag, stars where known, rating, reviews and opening date.
4. Sort and limit: by rating, which places hotels with very few reviews after the others.
5. xMap LLM on the whole list: the branded share by stars, the leading group names, and any cluster of recent opening dates worth checking.
6. Make a report for the investment committee, and Show on a map so the clusters are visible.

Each month a PDF and a map land in your inbox. For a property you already own, the template New hotels opening near mine reports only new hotels around it, using Only new, and Monthly area report for hotel owners gives owners a regular picture of the area. How guests rate the hotels next to mine watches the neighbours' ratings.