Market intelligence that moves as fast as the market
Wheel's market datasets give you an earlier read on emerging demand, evolving patient behavior, and regional shifts across virtual care.
A clearer view of where healthcare demand is moving
Much of the healthcare market data buyers rely on comes from insurance claims or shared medical records. That leaves a growing share of the market invisible: patients paying out of pocket for virtual care, often the fastest-moving segment.
Wheel sees that activity directly, because it happens on Wheel Horizon. That means the data doesn't have to pass through a claims cycle first. It provides an earlier view of what patients are choosing, how they are moving through treatment, and where demand is shifting geographically.
The result is a market intelligence layer built for speed and visibility. Not a replacement for the data you already use, but a way to see the part of the market it misses.
Market data built on virtual care interactions
— Featured healthcare market datasets —
Explore market datasets across high-growth healthcare categories
How cash-pay data fills gaps in claims and EHR data
Cash-pay activity provides a distinct view of patient behavior that never passes through a payer or shared medical record. Wheel brings that missing signal into view through de-identified, category-level datasets, adding context to the claims and EHR data buyers already use.
Demand without the coverage filter
See what patients choose and can afford, without formulary rules or benefit design shaping the signal.
Visibility into out-of-pocket patient demand
Capture demand from patients paying out of pocket, a population traditional claims and EHR sources are not built to see.
The story after the prescription
Where available, understand titration, adherence, refill gaps, and discontinuation patterns, not just whether a prescription was filled.
How virtual care market data answers commercial and investment questions
Wheel’s market datasets help teams understand where demand is building, how patient behavior is changing, and which category shifts may matter most.
Strengthen demand forecasting
Add demand, geographic, and adherence signals to forecasting models to inform manufacturing, supply planning, and commercial resource decisions.
Support market access strategy
Use zip-level demand patterns to identify where patients are paying out of pocket despite coverage gaps and bring stronger evidence to payer conversations.
Inform investment research
Use category-level data on market growth and channel mix to support thematic research, portfolio construction, and sector allocation.


