The market for wearables and sports analytics grows at double digits. But between fitness trackers and professional diagnostics there is a gap: nobody detects injuries when they happen.
InjuryDetector sits at the intersection of wearable technology and injury prevention — both growing strongly.
More than 50% of all NHL players miss at least one game per season due to injury — salary cost: $218 million per year.
About $350 million estimated annual loss from injuries (all types).
$1.1 billion salary losses from pitching injuries (2008–2012).
Sports injuries account for 20% of all injury-related ER visits for children (ages 6–19) in the US — driving billions in healthcare costs.
Sources: Donaldson et al. (Injury Prevention, 2014); Forbes/Conte (2015); CDC/HCUP; krushperformance.com.
Garmin, Apple, Nike, Adidas, Xiaomi, TomTom, SAP — strong brands, but all with the same gap: they measure fitness, not injuries.
| Capability | Fitness trackers & co. | InjuryDetector |
|---|---|---|
| Real-time injury detection | ✗ not available | ✓ core feature |
| Automatic treatment suggestion | ✗ | ✓ |
| Health data in near real-time | ✗ delayed, incomplete | ✓ |
| Rehab & back-to-play guidance | ✗ | ✓ |
| Prediction instead of hindsight | ✗ manual comparison | ✓ matching algorithm |
| Reporting for medical staff | (✗) | ✓ leveled |
Professional and amateur clubs, leagues and sports associations: player protection, squad planning and availability management.
Ambitious amateur and professional athletes with smartphone affinity and interest in analytical insights.
Insurers of professional athletes and health insurers: prevention lowers costs — measurably.
Business model, data flywheel, defensibility and use of funds.