Remote patient monitoring (RPM) tech has taken off in recent years as a way for providers to better assess and manage patients’ health remotely.
And increasingly, RPM tech is getting a boost from AI. AI systems and machine learning (ML) algorithms are helping make RPM solutions — like at-home ECG monitoring and remote fall detection — more effective and efficient, thereby improving patient outcomes.
Just 2 years ago, during 2021’s venture funding boom, roughly a quarter of all RPM funding went to companies building AI solutions. This year, in a sign of AI’s growing presence in RPM, AI companies account for three-quarters of funding.
Below, we dig into how AI is transforming the RPM landscape, using CB Insights data like:
- Funding trends
- Top-funded companies
- Patent filings
- Strategic investor activity
Let’s dive in.
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AI now dominates RPM funding
RPM companies have raised $4B in equity funding since 2019. Although down from recent highs, the inflow of equity funding now primarily goes to companies building AI solutions.
