Digital Health Valuation Multiples

Explore private market Digital Health valuation multiples with benchmarks structured by stage and region. Updated quarterly.

Coverage
EV/Sales; EV/EBITDA
Valuation Multiples
Private Market
Benchmarks
Stage & Region
Adjustment
Quarterly
Updated
Sector Profile

Digital Health

Digital Health companies develop software, platforms, and connected devices that improve healthcare delivery, patient outcomes, and clinical workflows. Private market valuations reflect regulatory pathway clarity, clinical evidence, health system adoption rates, and the ability to demonstrate measurable improvements in care quality or cost efficiency.

The category spans telehealth platforms, remote patient monitoring, clinical decision support, electronic health records, and wellness applications. DealMatrix tracks valuation dynamics across 7 funding stages and all major global regions, updated every quarter.

Clinical Evidence
Platforms backed by peer-reviewed outcomes data command significant valuation premiums over unvalidated digital health tools.
Health System Adoption
Integration into hospital and payer workflows drives high switching costs and long contract durations.
Regulatory Clarity
FDA-cleared or CE-marked products reduce commercial risk and unlock institutional procurement channels.
Data Network Effects
Longitudinal patient datasets strengthen model performance and create durable competitive advantages over time.

Sector

Digital Health

Health & Life Sciences

Sector tracked since

2006

19+ years of data

EV/SALES & EV/EBITDA ACROSS

6 Regions · 7 Stages

Modelled independently via proprietary econometric approach

UPDATE FREQUENCY

Quarterly

Data updates & model improvement

Private Market

Digital Health Valuation Multiples

Select a region and funding stage to preview how Digital Health companies are valued in private markets. Full data available on the platform.

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Methodology

The Venionaire DealMatrix Multiples Model

DealMatrix multiples are derived through a five-step model combining public capital market comparables, proprietary VC/PE/M&A transaction data, and macroeconomic indicators.

The model produces three components: The reported public multiple, the model-predicted multiple, and the lower bound predicted multiple averaged into the DealMatrix Composite, then adjusted for region and funding stage. The methodology follows the IPEV Guidelines 2025.

Model Architecture
Step 1: Data Acquisition
Step 2: Data Cleaning
Step 3: Econometric Modelling
Step 4: Multiple Averaging
Step 5: Region/Stage Adjustment
Final DealMatrix Multiples
Following IPEV Guidelines 2025
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COMPANY VALUATION

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