Overview
The problem.
People comparing local activities and independent operators assessing local supply face fragmented information about gyms and activity centres. This descriptive LyfSkills industry report maps 26,582 nonduplicate centres in 34 categories across nine cities in the Bengaluru, Delhi NCR and Mumbai metropolitan regions. It examines the distribution of centres, independent versus chain operators, and patterns in public reviews. The dataset describes the records collected and is not a national census or a causal study.
Context
Published by LyfSkills on 15 April 2026, the report analyses approximately 2.9 million public reviews alongside its mapped centre dataset. Independent operators account for 96.4% of mapped centres, with chains accounting for 3.6% across 97 brands. Coverage and review-platform biases limit generalisation; the report is an industry research output and has not been peer reviewed. LyfSkills operates an activity discovery service and has a commercial interest in this sector.
Who it is for
Consumers of gyms and activity centres, independent operators and academies in India's top 3 metros and satellite cities
4US score
Is it worth solving?
10/20
Existing search and listing services provide useful information, so this is not a claim that nothing works. The report highlights limitations of aggregate star ratings: many high scores have small review counts and can obscure facility-specific issues. This descriptive evidence supports a modest score rather than a validated failure rate.
The mapped dataset contains 26,582 centres in 34 activity categories across nine cities in three metropolitan regions, with approximately 2.9 million public reviews. It demonstrates substantial local-sector coverage, but does not measure the number of people affected or establish national prevalence.
Better local information may help present-day consumer comparisons and operator planning. The report documents a fragmented supply landscape, but does not establish an emergency, a time-critical deadline or a quantified cost of delay. The urgency assessment is therefore modest.
Within the mapped sample, 96.4% of centres are independent operators and 3.6% are chains across 97 brands. This fragmented landscape and variation across locations support a case for more structured comparative information. They do not prove that existing services are absent or quantify unmet demand.
Rubric: 50% · decision: Accept: a problem worth solving
Evidence quality: 1.3/10 · sources by tier: 0 / 1 / 0 / 0
Methodology
How it was done.
This descriptive industry report combines digital footprints from Google business listings, centre websites and social media profiles. Its multi-tier preparation process applies deterministic rules and category validation to identify nonduplicate listings. Brand identification uses names, domains and branch locations. The report compares category mix, independent versus chain operators, public reviews and spatial density across the covered cities, using municipal or authority areas for density calculations. It reports associations and distributions, not causal effects; coverage and public-review selection can bias the results.
Technologies
- Google business listings
- websites
- social media profiles
- name matching
- domain clustering
Dataset
The April 2026 dataset covers 26,582 nonduplicate gyms and activity centres, 34 categories and approximately 2.9 million public reviews. Cities: Bengaluru, Delhi, Mumbai, Gurugram, Noida, Ghaziabad, Thane, Navi Mumbai and Faridabad. These are mapped public-business records, not a complete national census. This publication shares the report, not individual-level review records or an unrestricted underlying dataset.
Resources
Results
What it found.
The mapped sample comprises 26,582 nonduplicate centres across 34 categories and nine cities. Independent operators represent 96.4% of mapped centres; branded or chain operators represent 3.6%, across 97 brands. The report describes differences in category mix and spatial concentration across the three metropolitan regions. These are descriptive findings from collected records, rather than measured effects of an intervention or estimates for all of India.
Key findings
1. The report maps 26,582 centres in 34 categories across nine covered cities.
2. Independent operators account for 96.4% of mapped centres, with chains accounting for 3.6% across 97 brands.
3. Category mix and supply concentration vary across the covered metropolitan regions.
4. Public review patterns require interpretation alongside review counts and coverage limits.
Limitations
The report is a descriptive industry output, not peer reviewed, nationally representative or causal. Public listing coverage, deduplication and category assignment may introduce errors; public reviews are self-selected and unevenly distributed. April 2026 coverage may change over time. LyfSkills operates an activity discovery service and has a commercial interest in this sector. No independent validation or improvement in consumer outcomes is claimed.
Validation
How it was checked.
Status
Human review in progress
Method
DI_AI and a human reviewer
DI_AI confidence
72%
Checked 2 Nov 2026
Timestamp
Blockchain confirmation pending
Independent proof of when this research was registered
What this means
- Approved reviewers are reviewing this project without seeing the author's name. Each review is finished within 72 hours of a reviewer taking it on.
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