Key Takeaways
- 87% of medical device companies reported increased AI adoption in 2023 surveys.
- 62% of hospitals integrated AI medical devices by end of 2023.
- 45% of U.S. radiologists use AI tools daily in 2024 surveys.
- Clinical accuracy of IDx-DR AI diabetic retinopathy screener is 87.2% sensitivity, FDA cleared.
- Viz.ai stroke detection AI achieves 92% sensitivity and 95% specificity in trials.
- Aidoc's AI for pulmonary embolism detection has 94% sensitivity per peer-reviewed studies.
- Over $15.3 billion invested in AI healthcare startups globally in 2023, with 25% to med devices.
- Medtronic invested $1.2 billion in AI R&D for devices in FY2023.
- Siemens Healthineers AI portfolio funding $500 million in 2023.
- The global AI in medical devices market was valued at USD 6.1 billion in 2022 and is projected to reach USD 18.7 billion by 2030, growing at a CAGR of 14.1%.
- North America dominated the AI medical devices market with a 40.2% revenue share in 2022, driven by advanced healthcare infrastructure.
- The software segment accounted for 58.3% of the AI in medical devices market revenue in 2022 due to rising demand for diagnostic tools.
- FDA cleared 692 AI/ML-enabled medical devices as of September 2023.
- 74% of FDA-cleared AI devices are for radiology applications in 2023.
- First AI software as medical device approved in EU under MDR in 2021, with 200+ by 2024.
Medical device AI adoption is accelerating fast, with expanding hospital use, clear regulatory approvals, and major investment driving growth.
Related reading
01 · Category
Adoption And Implementation24 stats
Adoption And Implementation Interpretation
02 · Category
Clinical Performance25 stats
Clinical Performance Interpretation
03 · Category
Investment And Funding10 stats
Investment And Funding Interpretation
More related reading
04 · Category
Market Size And Growth29 stats
Market Size And Growth Interpretation
05 · Category
Regulatory Approvals24 stats
Regulatory Approvals Interpretation
AI adoption is accelerating across medtech and clinical use
Surveys and implementations show rapid year-over-year uptake—from company adoption plans to daily use by clinicians.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Catherine Wu. (2026, February 13). AI In The Medical Device Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-medical-device-industry-statistics
Catherine Wu. "AI In The Medical Device Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-medical-device-industry-statistics.
Catherine Wu. 2026. "AI In The Medical Device Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-medical-device-industry-statistics.
Sources & references
82 datasets cited across this report · attribution is report-level
