This isn’t just broad market enthusiasm for AI — it’s a sign that AI is evolving from horizontal to vertical applications that can move the needle in industries like healthcare.
For instance, specialized AI models — trained on clinical reasoning and domain-specific knowledge — demonstrate higher accuracy in healthcare workflows. Healthcare tech players can use these to extract more accurate insights across their datasets and increase providers’ operational efficiency.
Below, we break down how AI is reshaping the digital health landscape using CB Insights data.
Digital health is maturing
The sector’s momentum is shifting downstream, with investors concentrating capital in later-stage startups that are scaling AI-powered solutions.
Early-stage deals have declined from 60% of total activity in full-year 2024 to 51% in 2025 so far, while mid- and late-stage deals have seen their shares increase by several percentage points.
The median size of late-stage deals has nearly doubled — from $37M in 2024 to $73M this year — as investors prioritize companies with regulatory milestones and clear commercial traction.
The biggest late-stage deal of Q1 went to Innovaccer, which raised a $275M Series F in January from investors including Kaiser Permanente, Banner Health, and Microsoft’s M12.
The healthcare data platform now serves 6 of the US’ top 10 healthcare systems. Following its Series F, it rolled out a suite of AI agents in February that aim to automate processes like intake, referral, and prior authorization.
We recently featured Innovaccer in the healthcare category of our AI agent market map.