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Home Artificial Intelligence

Growing Demand For Personalized Medicine Propels Growth Of AI In Medical Devices Market: Transformative Forces Shaping the AI In Medical Devices Market Landscape in 2025

October 16, 2025
in Artificial Intelligence, OpenPR, Web3
Reading Time: 7 mins read
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AI In Medical Devices Market

AI In Medical Devices Market

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What Will the AI In Medical Devices Industry Market Size Be by 2025?
There’s been a dramatic surge in the size of the AI in medical devices market in recent times. The market is predicted to expand from a worth of $10.08 billion in 2024 to $12.38 billion in 2025, representing a 22.8% compound annual growth rate (CAGR). Factors that have contributed to growth during the historic period include the advent of early machine learning algorithms, a spike in big data analytics, a growing need for precision medicine, regulatory backing and approvals, and preemptive adoption in the field of radiology.

What’s the Long-Term Growth Forecast for the AI In Medical Devices Market Size Through 2029?
The industry of artificial intelligence in medical devices is set for a significant rise in the foreseeable future. The market is predicted to reach $34.2 billion in 2029, expanding at a compound annual growth rate (CAGR) of 28.9%. This surge during the projection time-frame is primarily due to factors such as a focus on patient-oriented solutions, elevated healthcare expenditure, regulatory guidelines and standards, improved clinical decision support, and AI application in predicting and preventing diseases. Key trends during the forecast period will comprise refined radiology and imaging, pathology aided by AI, integration of genomics and AI, predictive analytics in the healthcare sector, and natural language processing (NLP).

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What Are the Key Growth Drivers Fueling the AI In Medical Devices Market Expansion?
The surge in the preference for customized healthcare, known as personalized medicine, is anticipated to boost the expansion of the AI in medical devices market. Personalized medicine employs a tailored medical approach, considering individual patient specifics like genetics, environment, and lifestyle, greatly enhancing treatment efficiency and results. Several aspects fuel this increased demand, such as progress in genomics, patient autonomy, and enhanced treatment effectiveness. AI employs extensive patient data, like genetic details, medical backgrounds, and lifestyle elements, to construct an all-encompassing understanding of individual profiles, paving the way for customized treatment strategies. As an illustration, the FDA sanctioned 16 new personalized therapies for rare disease patients in 2023, in contrast to six in 2022, according to the US’s non-profit Personalized Medicine Coalition in February 2024. Consequently, the surging demand for personalized medicine stimulates the expansion of the AI in medical devices market.

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What Are the Key Trends Driving AI In Medical Devices Market Growth?
In the AI in medical devices market, there is a growing trend of embracing technological innovations. Key players in the market are integrating novel technologies to maintain their market position. For example, Nvidia Corporation, an American company known for manufacturing computer hardware, introduced the Clara Holoscan MGX platform in March 2022. This platform is designed specifically for the medical device industry, enabling the development and implementation of cutting-edge AI applications. It offers a plethora of features to facilitate the creation and market launch of medical devices equipped with high-level AI functionalities such as image and signal processing, natural language processing, and predictive analytics. The Clara Holoscan MGX platform also contains advanced security measures and adheres to healthcare regulations, ensuring patient data is protected. It has the ability to process medical data in real time, providing valuable insights for clinical judgment.

How Is the AI In Medical Devices Market Segmented?
The ai in medical devicesmarket 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

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Which Companies Are Leading the Charge in AI In Medical Devices Market Innovation?
Major companies operating in the AI in medical devices market include General Electric Company, Medtronic plc., Siemens Healthineers AG, Micron Technology Inc., Nvidia Corporation, Intel Corporation, International Business Machines Corporation, Amazon Web Services, Inc., Koninklijke Philips N.V., Enlitic Inc., Cloudmedx Inc., Oncora Medical Inc., Microsoft Corporation, Path AI Inc., Aidoc Medical Ltd., Accuray Incorporated, AliveCor, Alphabet Inc., Apple Inc., Arterys Inc., Augmedics Inc., Azra AI, Babylon Health Limited, Brainomix Ltd., Butterfly Network Inc., Canon Medical Systems Corporation, Cerner Corporation, Clarapass Inc., Comarch SA, CureMetrix Inc., DeepMind Health, Diabetic Retinopathy Detection Ltd., Diacron Group, Diagnostic Robotics, EchoPixel Inc.

Which Regions Are Leading the Global AI In Medical Devices Market in Revenue?
North America was the largest region in the AI in medical devices market in 2024. The regions covered in the AI in medical devices market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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This release was published on openPR.

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