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Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence or machine learning (ai/ml) medical device market has seen significant expansion in recent years. It is projected to increase from $8.11 billion in 2025 to $10.24 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 26.2%. This historical growth can be linked to several factors, including the growth of medical imaging adoption, a shortage of healthcare professionals, an increase in chronic disease prevalence, the digitalization of healthcare data, and advancements in medical device technology.
The market size for artificial intelligence or machine learning (ai/ml) medical devices is anticipated to undergo significant expansion in the coming years. This sector is projected to reach $26.46 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 26.8%. The growth during this forecast period is attributable to the increasing embrace of precision medicine, the spread of telehealth services, an increase in regulatory approvals for AI medical devices, the necessity for early disease detection, and the proliferation of value-based healthcare models. Key trends expected in the forecast period include AI-powered diagnostic imaging, the development of clinical decision support systems, the use of remote patient monitoring devices, advancements in predictive healthcare analytics, and the integration of robotic-assisted medical procedures.
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Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Industry Drivers: What Is Driving Revenue Growth?
Future expansion of the artificial intelligence or machine learning medical device market is anticipated to be driven by investments in healthcare AI. Healthcare AI, or Artificial Intelligence, involves implementing AI technologies within the medical sector to enhance delivery, diagnosis, treatment, and comprehensive patient care. The allure of AI and ML technologies to transform healthcare services, better patient results, and boost operational effectiveness fuels these investments in AI healthcare. As an illustration, in March 2023, the Department of Health and Social Care, a UK-based government department, reported that more than 300,000 patients gained from the $147.2 million (£123 million) allocated across three award rounds for 86 AI technologies. Furthermore, Mendelian, a digital health startup based in the UK, received $1.7 million (£1.4 million) to back an AI system designed to pinpoint patients suffering from undiagnosed rare conditions. Moreover, Medtronic, a US-based medical device company, obtained $3.18 million (£2.5 million) for the continued advancement of an AI-powered medical device known as GI Genius. Consequently, the expansion of the artificial intelligence and machine learning medical device market is propelled by investments made in healthcare AI.
Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Segmentation: How Is The Market Structured Across Key Categories?
The artificial intelligence or machine learning (ai/ml) medical device market covered in this report is segmented –
1) By Product: System Or Hardware, Software-As-A Medical Devices
2) By Clinical Area: Radiology, Cardiology, Hematology, Other Clinical Areas
3) By End-User: Hospitals And Healthcare Providers, Patients, Pharmaceuticals And Biotechnology Companies, Healthcare payers, Other End-Users
Subsegments:
1) By System Or Hardware: Diagnostic Imaging Systems, Surgical Robots, Monitoring Devices
2) By Software-As-A-Medical Device: AI Diagnostic Software, Clinical Decision Support Systems, Predictive Analytics Platforms
Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Strategic Trends: What Is Defining The Next Phase Of Growth?
Leading companies active in the artificial intelligence (AI) and machine learning (ML) medical device market are concentrating on creating advanced technologies like artificial intelligence (AI)-driven performance insights to elevate surgical precision, optimize clinical workflows, and enhance patient outcomes through data-informed decision support. Artificial intelligence (AI)-driven Performance Insights is an advanced analytical system that employs artificial intelligence algorithms to examine surgical videos and generate actionable insights aimed at improving surgical performance, efficiency, and training. For example, in April 2024, Medtronic plc, an Ireland-based medical devices company, unveiled 14 new AI-driven Performance Insights algorithms and Touch Surgery Live Stream technology, specifically engineered to improve laparoscopic and robotic-assisted surgical procedures. These advancements enable AI-based post-operative analysis, offering comprehensive insights into surgical techniques, and facilitate real-time, remote observation for better surgical education and connectivity, thus setting a new benchmark in AI-powered surgical performance.
Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Competitive Landscape And Leading Companies
Major companies operating in the artificial intelligence or machine learning (ai/ml) medical device market are General Electric; Medtronic PLC; Canon Inc.; Nvidia Corporation; Siemens Healthineers AG; Koninklijke Philips N.V.; Stryker Corporation; RadNet Inc.; ShanghAI United Imaging Healthcare Co. Ltd.; Tempus; DataRobot Inc.; DeepMind Technologies Limited; Paige AI Inc.; Aidoc Medical Ltd.; Butterfly Network Inc.; Aidoc Medical; CellaVision AB; Clarius Mobile Health Corp.; Subtle Medical Inc.; Owkin Inc.; Cleerly Inc.; Behold.ai; Viz.AI Inc.; Arterys Inc.; Caption Health; Enlitic Inc.; Hyperfine Inc.; Nanox AI Ltd.
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Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Global Footprint: Which Region Holds Market Leadership?
North America was the largest region in the artificial intelligence machine learning (AI/ML) medical device market in 2025. The regions covered in the artificial intelligence or machine learning (ai/ml) medical device 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.
