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AI In Medical Devices Market Size Outlook: How Fast Will Revenue Grow Through 2030?
The market for AI-powered medical devices has expanded at an extraordinary pace over the last few years. Valued at $12.38 billion in 2025, it is expected to reach $16.16 billion by 2026, achieving a compound annual growth rate of 30.5%. This historic growth has been driven by several key factors, including progress in medical device technology, a growing prevalence of chronic illnesses, wider implementation of digital health tools, greater reliance on healthcare automation, and a heightened need for precise diagnostic capabilities.
The market for artificial intelligence in medical devices is projected to experience remarkable expansion over the coming years, reaching $42.43 billion by 2030 with a compound annual growth rate of 27.3%. This upward trajectory during the forecast period is driven by the incorporation of AI into clinical workflows, increased funding for intelligent healthcare systems, a growing need for tailored treatment approaches, broader adoption of remote patient monitoring, and a rising number of regulatory clearances for AI-based devices. Key developments shaping this period encompass AI-powered diagnostic tools, advanced surgical assistance platforms, predictive monitoring equipment for patients, smart wearable health devices, and the seamless integration of clinical decision support systems.
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AI In Medical Devices Market Growth Drivers: What Factors Are Accelerating Expansion?
The rising interest in tailored medical treatments is anticipated to boost the market for AI in medical devices. Customized healthcare, known as personalized medicine, relies on individual patient characteristics such as genetics, environment, and lifestyle to improve treatment success and patient outcomes. This growing demand is fueled by progress in genomics, greater patient involvement, and better therapeutic results. By processing large volumes of patient data—like genetic profiles, medical histories, and lifestyle details—AI builds a thorough understanding of each person’s unique profile, enabling the creation of individualized care plans. As an example, the Personalized Medicine Coalition, a nonprofit organization based in the US, reported in February 2024 that the FDA authorized 16 new personalized therapies for patients with rare conditions in 2023, up from six in 2022. Consequently, the increasing preference for personalized medicine is fueling expansion in the AI medical devices market.
AI In Medical Devices Market Segmentation: How Is The Market Structured Across Key Categories?
The AI in medical devices market covered in this report is segmented –
1) By Offerings: Hardware, Software, Services
2) By Technology: Context Awareness, Deep learning, Machine learning, Natural Language Processing, Predictive Analytics, Other Technologies
3) By Deployment: Cloud, On-Premise
4) By Application: Patient care, Treatment, Diagnosis And Monitoring, Other Applications
5) By End-User: Hospitals And Healthcare Providers, Patients, Pharmaceuticals And Biotechnology Companies, Healthcare Payers, Other End Users
Subsegments:
1) By Hardware: Imaging Devices, Wearable Devices, Surgical Robots, Monitoring Devices, Diagnostic Equipment
2) By Software: Imaging Software, Data Analytics Software, Clinical Decision Support Software, Patient Management Software, Workflow Automation Software
3) By Services: Consulting Services, Maintenance And Support Services, Training Services, Integration Services, Managed Services
AI In Medical Devices Market Trends: What Is Shaping Future Industry Growth?
To maintain a competitive advantage, key players in the AI-driven medical device market are increasingly turning to strategic partnerships as a way to speed up the integration of artificial intelligence into healthcare. These alliances are designed to leverage AI’s capabilities in advancing drug discovery, refinement, and creation, while also boosting the efficiency of medical device manufacturing and minimizing risks via machine learning. A case in point occurred in March 2023 when Medtronic, a medical device firm based in Ireland, joined forces with NVIDIA Corporation, a US software company, to develop an AI platform tailored for medical devices. Under this agreement, NVIDIA’s healthcare and edge AI technology will be incorporated into the GI Genius intelligent endoscopy module—developed and manufactured by Cosmo Pharmaceuticals and used by Medtronic. As the first AI-assisted colonoscopy tool to receive FDA approval, GI Genius assists physicians in identifying polyps that could later turn into colorectal cancer. Ultimately, this strategic collaboration is designed to hasten the progress of AI within healthcare and introduce novel AI-powered solutions into patient care.
AI In Medical Devices Market Competitive Landscape And Leading Companies
Major companies operating in the AI in medical devices market are General Electric Company; Medtronic plc; Siemens Healthineers AG; Nvidia Corporation; Intel Corporation; International Business Machines Corporation; Koninklijke Philips N.V.; Enlitic Inc.; Cloudmedx Inc.; Oncora Medical Inc.; Path AI Inc.; Aidoc Medical Ltd.; Accuray Incorporated; AliveCor; Arterys Inc.; Augmedics Inc.; Brainomix Ltd.; Butterfly Network Inc.; Canon Medical Systems Corporation; CureMetrix Inc.
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AI In Medical Devices Market Regional Analysis: Which Region Leads By Revenue?
North America was the largest region in the AI in medical devices market in 2025. The regions covered in the AI in medical devices market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.