GetSoftPlay

Data report · Updated 2026-09

Global Soft Play Opportunity Index 2026

Where in the world is it easiest to open a successful indoor playground? We measured demand against live competition in 371 cities across 90 countries, comparing the estimated number of children in each catchment with the number of play venues already serving them. The result is a single, comparable demand-gap score for every market.

90
countries analysed
371
cities ranked
5,206
venues counted
18.67×
top demand gap
Key finding: The most underserved city for indoor playgrounds in 2026 is Huambo, Angola (18.67× demand gap), followed by Yamoussoukro (13.33×) and Douala (12.76×). At country level, Angola shows the highest median demand gap (13.13×) across its cities.

The 30 most underserved cities for soft play

Higher demand gap = more children per existing venue = more room for a new indoor playground.

#CityCountryDemand gapChildren / venueVenues
1HuamboAngola18.67×168,0000
2YamoussoukroIvory Coast13.33×120,0001
3DoualaCameroon12.76×114,8002
4KigaliRwanda10.22×92,0002
5MombasaKenya9×81,0002
6YaoundéCameroon8.5×76,5333
7LuandaAngola7.58×68,2504
8AlgiersAlgeria6.77×54,1333
9OranAlgeria5.37×42,9333
10KumasiGhana5.2×46,8004
11BrasíliaBrazil4.67×42,0003
12KhulnaBangladesh4.67×42,0003
13KanoNigeria4.64×41,8005
14TangierMorocco4.4×39,6003
15IbadanNigeria4.39×39,5205
16AbujaNigeria3.87×34,8336
17KampalaUganda3.84×34,5717
18LagosNigeria3.75×33,7789
19FesMorocco3.3×29,7004
20Port HarcourtNigeria3.02×27,1437
21AbidjanIvory Coast2.96×26,6679
22NdolaZambia2.95×26,5176
23Dar es SalaamTanzania2.89×26,00010
24DodomaTanzania2.81×25,3336
25DakarSenegal2.61×23,52010
26CasablancaMorocco2.57×23,1437
27KisumuKenya2.53×22,8006
28PokharaNepal2.52×20,1605
29SfaxTunisia2.5×20,0005
30São PauloBrazil2.33×21,0008

Countries ranked by demand gap

Median demand gap across all measured cities in each country.

#CountryMedian gapCitiesTop city
1Angola13.13×2Huambo (18.67×)
2Cameroon10.63×2Douala (12.76×)
3Rwanda10.22×1Kigali (10.22×)
4Ivory Coast8.15×2Yamoussoukro (13.33×)
5Algeria6.07×2Algiers (6.77×)
6Nigeria3.87×5Kano (4.64×)
7Ghana3.35×2Kumasi (5.2×)
8Tanzania2.85×2Dar es Salaam (2.89×)
9Uganda2.8×2Kampala (3.84×)
10Morocco2.57×5Tangier (4.4×)
11Kenya2.53×3Mombasa (9×)
12Zambia2.51×2Ndola (2.95×)
13Senegal2.18×2Dakar (2.61×)
14Brazil2×5Brasília (4.67×)
15Nepal1.99×2Pokhara (2.52×)
16Tunisia1.99×2Sfax (2.5×)
17Guatemala1.73×1Guatemala City (1.73×)
18Uruguay1.71×1Montevideo (1.71×)
19Paraguay1.67×1Asunción (1.67×)
20Ethiopia1.62×2Addis Ababa (1.67×)
21Bolivia1.53×2Santa Cruz (1.56×)
22Saudi Arabia1.35×7Taif (1.69×)
23Bangladesh1.33×3Khulna (4.67×)
24Uzbekistan1.33×2Samarkand (1.5×)
25Pakistan1.32×4Karachi (1.59×)
26Colombia1.26×4Bogotá (1.41×)
27Azerbaijan1.25×2Ganja (1.5×)
28Kyrgyzstan1.22×2Bishkek (1.28×)
29South Africa1.21×4Johannesburg (1.75×)
30Argentina1.2×3Buenos Aires (1.59×)

Methodology

For each city we estimate the number of children in the central catchment from metro population and national child-population shares, then count indoor play and family-entertainment venues within a fixed radius using Google Places. Dividing children by venues gives children per venue; comparing that to a regional benchmark gives the demand gap — a score above 1.0× means the market is underserved relative to its peers. Figures are planning estimates, not forecasts, and competition data reflects Google Places at the time of collection (2026-09).

Use this data

This index is free to cite and share under CC BY 4.0 — please credit “GetSoftPlay” with a link to this page. Download the full dataset: CSV (371 cities).

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