PUBLISHER: The Business Research Company | PRODUCT CODE: 1669384
PUBLISHER: The Business Research Company | PRODUCT CODE: 1669384
An AI/ML medical device, short for artificial intelligence or machine learning medical device, refers to a medical device that integrates artificial intelligence and machine learning technologies for the analysis of medical data, prediction generation, assistance in diagnoses, or aiding healthcare professionals in decision-making processes. The medical device sector has witnessed various advantageous applications of artificial intelligence and machine learning, including data management, facilitation of remote surgical procedures, diagnostic and operational support, and contributions to clinical trials.
The primary components encompassed in AI/ML medical devices are hardware systems and software-as-a-medical device. Hardware constitutes the tangible elements of a system or the mechanisms used for storing and executing the written instructions embedded in the application's software. These devices find application across different clinical domains such as radiology, cardiology, hematology, among others, catering to diverse end-users, including hospitals and healthcare providers, patients, pharmaceutical and biotechnology companies, healthcare payers, and more.
The artificial intelligence machine learning medical device market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence machine learning medical device market statistics, including the artificial intelligence machine learning medical device industry's global market size, regional shares, competitors with artificial intelligence machine learning medical device market share, detailed artificial intelligence machine learning medical device market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence machine learning medical device industry. This artificial intelligence machine learning medical device market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The artificial intelligence or machine learning (AI/ML) medical device market size has grown exponentially in recent years. It will grow from $6.63 billion in 2024 to $8.17 billion in 2025 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to regulatory support, rise in chronic diseases, data accessibility, improvements in computational power, cost efficiency
The artificial intelligence or machine learning (AI/ML) medical device market size is expected to see exponential growth in the next few years. It will grow to $21.07 billion in 2029 at a compound annual growth rate (CAGR) of 26.7%. The growth in the forecast period can be attributed to increased personalization, remote monitoring and telemedicine, ai/ml integrated diagnostics, patient-centric care, ai/ml in proactive care. Major trends in the forecast period include ai/ml-enhanced imaging devices, wearable ai/ml devices, ai/ml-powered prosthetics and robotics, point-of-care ai/ml diagnostics, ethical ai/ml use.
Investments in healthcare AI are poised to drive the growth of the artificial intelligence or machine learning medical device market in the future. Healthcare AI involves the application of AI technologies in the healthcare sector to enhance healthcare delivery, diagnostics, treatment, and overall patient care. The surge in investments in AI healthcare is fueled by the transformative potential of AI and ML technologies in revolutionizing healthcare delivery, improving patient outcomes, and increasing operational efficiency. For instance, as of March 2023, the UK Department of Health and Social Care reported that over 300,000 patients benefited from a total investment of $147.2 million (£123 million) across 86 AI technologies in three rounds of awards. Notably, Mendelian, a UK-based digital health startup, received $1.7 million (£1.4 million) for an AI system identifying patients with undiagnosed rare diseases. Additionally, Medtronic, a US-based medical device company, secured $3.18 million (£2.5 million) for the development of GI Genius, an AI-based medical device. Hence, healthcare AI investments are propelling the growth of the artificial intelligence and machine learning medical device market.
The increasing prevalence of wearable devices is anticipated to boost the growth of the artificial intelligence and machine learning medical device market in the future. Wearable devices are electronic gadgets that can be worn on the body, often as accessories or integrated into clothing, and come equipped with sensors, processors, and connectivity features. Wearable AI and ML devices are used for monitoring vital signs, activity levels, and other health metrics, and are becoming increasingly popular. These devices facilitate continuous health monitoring and support preventive healthcare practices. For example, in June 2022, the Australasian Society of Lifestyle Medicine, a not-for-profit organization based in Australia, reported that approximately 500 million smartwatches had been shipped globally, with annual sales expected to surpass 250 million units by 2025. Consequently, the rising number of wearable devices is driving the growth of the artificial intelligence and machine learning medical device market.
Technological advancements are a significant trend gaining traction in the artificial intelligence and machine learning medical device market. Major companies in this field are focusing on developing innovative technologies to maintain their competitive edge. For example, in April 2024, Medtronic plc, a medical device company based in Ireland, announced the introduction of 14 new AI-driven Performance Insights algorithms and Touch Surgery Live Stream technology, aimed at enhancing laparoscopic and robotic-assisted surgical procedures. These innovations enable AI-based post-operative analysis, delivering detailed insights into surgical techniques, and providing real-time, remote observation to improve surgical training and education, thus establishing a new standard for surgical performance and connectivity. This launch expands the role of AI in surgery, streamlining workflows and enabling surgeons to continually enhance their skills through actionable insights.
Major companies in the artificial intelligence or machine learning medical device market are also engaging in strategic partnerships to develop new products and reinforce their market positions. Strategic partnerships involve collaboration between companies to leverage each other's strengths and resources for mutual benefits. In March 2023, NVIDIA, a US-based healthcare software company, partnered with Medtronic plc, an Ireland-based healthcare company, to introduce 'NVIDIA Holoscan' and 'NVIDIA IGX.' This collaboration focuses on integrating NVIDIA technology into Medtronic's real-time AI endoscopy device, enhancing patient care and improving outcomes. The partnership involves the integration of NVIDIA healthcare and edge AI technologies into the GI Genius intelligent endoscopy module, a product developed and manufactured by Cosmo Pharmaceuticals for Medtronic.
In October 2022, Exo Imaging Inc., a US-based provider of medical devices and health information, acquired Medo AI for an undisclosed amount. Through this acquisition, Exo aims to make ultrasound imaging more accessible and user-friendly, simplifying the process for caregivers to obtain and interpret ultrasound images. Medo AI, a Canadian company, specializes in AI-based medical devices.
Major companies operating in the artificial intelligence or machine learning (AI/ML) medical device market include 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, H2O.ai, Clarius Mobile Health Corp., Subtle Medical Inc., Owkin Inc., Cleerly Inc., Behold.ai, Viz.ai Inc., Arterys Inc., Caption Health, Komodo Health Inc., Enlitic Inc., CloudMedx Inc., Hyperfine Inc., Nanox AI Ltd.
North America was the largest region in the artificial intelligence machine learning medical device market in 2024. The regions covered in the artificial intelligence or machine learning (ai/ml) medical device market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
The countries covered in the artificial intelligence or machine learning (ai/ml) medical device market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
The artificial intelligence or machine learning (AI/ML) medical device market consists of revenues earned by entities by providing treatment planning and personalization, predictive analytics, monitoring, and alert systems. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence or machine learning (AI/ML) medical device market also includes sales of smart wearable health monitors, medical imaging devices, and diagnostics devices. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.