The AI in medical devices market size has grown exponentially in recent years. It will grow from $12.38 billion in 2025 to $16.16 billion in 2026 at a compound annual growth rate (CAGR) of 30.5%. The growth in the historic period can be attributed to advancements in medical device technology, rising burden of chronic diseases, growing adoption of digital health solutions, increasing healthcare automation, demand for accurate diagnostics.
The AI in medical devices market size is expected to see exponential growth in the next few years. It will grow to $42.43 billion in 2030 at a compound annual growth rate (CAGR) of 27.3%. The growth in the forecast period can be attributed to integration of AI in clinical workflows, growing investment in smart healthcare infrastructure, rising demand for personalized treatment, expansion of remote patient monitoring, increasing regulatory approvals for AI devices. Major trends in the forecast period include ai-enabled diagnostic devices, intelligent surgical assistance systems, predictive patient monitoring devices, smart wearable medical devices, clinical decision support integration.
The rising demand for personalized medicine is anticipated to drive the growth of AI in the medical devices market in the future. Personalized medicine is a tailored healthcare approach that considers individual patient characteristics, such as genetics, environment, and lifestyle, to improve treatment effectiveness and outcomes. Several factors contribute to the increasing demand for personalized medicine, including advancements in genomics, greater patient empowerment, and enhanced treatment efficacy. AI processes vast amounts of patient data, encompassing genetic information, medical histories, and lifestyle factors, to develop a comprehensive understanding of individual profiles, which in turn supports the creation of customized treatment plans. For example, the Personalized Medicine Coalition, a non-profit organization based in the U.S., reported in February 2024 that the FDA approved 16 new personalized therapies for patients with rare diseases in 2023, up from six in 2022. Thus, the growing demand for personalized medicine is a key driver of growth for AI in the medical devices market.
Major players operating in the AI in medical devices market are emphasizing strategic collaborations to speed up the advancement of AI within the healthcare system and strengthen their competitive position. These partnerships are intended to leverage AI capabilities to enhance drug discovery, design, and development, as well as to improve medical device manufacturing efficiency and minimize risks through machine learning. For instance, in March 2023, Medtronic, an Ireland-based medical device company, collaborated with NVIDIA Corporation, a US-based software company, to develop an AI platform for medical devices. Through this collaboration, the companies planned to integrate NVIDIA’s healthcare and edge AI technologies into the GI Genius intelligent endoscopy module developed and manufactured by Cosmo Pharmaceuticals for Medtronic. GI Genius, the first AI-assisted colonoscopy tool approved by the FDA, helps physicians detect polyps that could potentially progress into colorectal cancer. Accordingly, this strategic collaboration is intended to accelerate the deployment of AI in the healthcare system and introduce new AI-driven solutions into patient care.
In February 2023, GE HealthCare Technologies Inc., a US-based healthcare technology and diagnostics company, completed the acquisition of Caption Health Inc. for $3 billion. This acquisition was driven by the goal of expanding the use cases of Caption AI, developed by Caption Health Inc., beyond cardiology to various medical specialties such as primary care, emergency medicine, and obstetrics. Caption Health Inc. is recognized for its expertise in producing AI medical products, and this acquisition positions GE HealthCare Technologies Inc. to bring AI innovations to a broader range of clinicians and medical specialties.
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.
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. The countries covered in the AI in medical devices market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have affected the AI in medical devices market by increasing costs of imported sensors, semiconductors, imaging components, and specialized hardware. These cost pressures are more evident for imaging devices, surgical robots, and monitoring equipment, particularly in north america and europe. Higher production costs have slowed device upgrades for hospitals and healthcare providers. However, tariffs have encouraged localized manufacturing and regional supply chain development. This has supported long-term resilience and innovation in ai-enabled medical device production.
The AI in medical devices market research report is one of a series of new reports that provides AI in medical devices market statistics, including AI in medical devices industry global market size, regional shares, competitors with a AI in medical devices market share, detailed AI in medical devices market segments, market trends and opportunities, and any further data you may need to thrive in the AI in medical devices industry. This AI in medical devices market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The utilization of advanced algorithms, machine learning techniques, and other artificial intelligence (AI) technologies in medical devices aims to enhance their performance and capabilities. This integration of AI in medical devices contributes to improved diagnostic accuracy, assistance in surgical procedures, prediction of patient outcomes, and the personalization of treatment plans.
AI in medical devices can be deployed through two main methods, cloud and on-premise. Cloud deployment involves utilizing a remote server network for data storage, processing, and management over the Internet, as opposed to relying on a local server or personal computer. This approach encompasses various technologies such as context awareness, deep learning, machine learning, natural language processing, predictive analytics, among others. These technologies find applications in diverse areas such as patient care, treatment, diagnosis, monitoring, and more. The primary end-users of AI in medical devices include hospitals and healthcare providers, patients, pharmaceutical and biotechnology companies, as well as healthcare payers.
The AI in medical devices market consists of revenues earned by entities by providing AI in medical devices such as diagnosis and treatment planning, remote monitoring, and robotic surgery. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in medical devices market also includes sales of diagnostic imaging systems, wearable devices, electronic health records (EHRs), robotic surgical systems, and AI monitoring devices, which are used in providing AI in medical devices services. 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.
This product will be delivered within 1-3 business days.
The AI in medical devices market size is expected to see exponential growth in the next few years. It will grow to $42.43 billion in 2030 at a compound annual growth rate (CAGR) of 27.3%. The growth in the forecast period can be attributed to integration of AI in clinical workflows, growing investment in smart healthcare infrastructure, rising demand for personalized treatment, expansion of remote patient monitoring, increasing regulatory approvals for AI devices. Major trends in the forecast period include ai-enabled diagnostic devices, intelligent surgical assistance systems, predictive patient monitoring devices, smart wearable medical devices, clinical decision support integration.
The rising demand for personalized medicine is anticipated to drive the growth of AI in the medical devices market in the future. Personalized medicine is a tailored healthcare approach that considers individual patient characteristics, such as genetics, environment, and lifestyle, to improve treatment effectiveness and outcomes. Several factors contribute to the increasing demand for personalized medicine, including advancements in genomics, greater patient empowerment, and enhanced treatment efficacy. AI processes vast amounts of patient data, encompassing genetic information, medical histories, and lifestyle factors, to develop a comprehensive understanding of individual profiles, which in turn supports the creation of customized treatment plans. For example, the Personalized Medicine Coalition, a non-profit organization based in the U.S., reported in February 2024 that the FDA approved 16 new personalized therapies for patients with rare diseases in 2023, up from six in 2022. Thus, the growing demand for personalized medicine is a key driver of growth for AI in the medical devices market.
Major players operating in the AI in medical devices market are emphasizing strategic collaborations to speed up the advancement of AI within the healthcare system and strengthen their competitive position. These partnerships are intended to leverage AI capabilities to enhance drug discovery, design, and development, as well as to improve medical device manufacturing efficiency and minimize risks through machine learning. For instance, in March 2023, Medtronic, an Ireland-based medical device company, collaborated with NVIDIA Corporation, a US-based software company, to develop an AI platform for medical devices. Through this collaboration, the companies planned to integrate NVIDIA’s healthcare and edge AI technologies into the GI Genius intelligent endoscopy module developed and manufactured by Cosmo Pharmaceuticals for Medtronic. GI Genius, the first AI-assisted colonoscopy tool approved by the FDA, helps physicians detect polyps that could potentially progress into colorectal cancer. Accordingly, this strategic collaboration is intended to accelerate the deployment of AI in the healthcare system and introduce new AI-driven solutions into patient care.
In February 2023, GE HealthCare Technologies Inc., a US-based healthcare technology and diagnostics company, completed the acquisition of Caption Health Inc. for $3 billion. This acquisition was driven by the goal of expanding the use cases of Caption AI, developed by Caption Health Inc., beyond cardiology to various medical specialties such as primary care, emergency medicine, and obstetrics. Caption Health Inc. is recognized for its expertise in producing AI medical products, and this acquisition positions GE HealthCare Technologies Inc. to bring AI innovations to a broader range of clinicians and medical specialties.
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.
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. The countries covered in the AI in medical devices market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have affected the AI in medical devices market by increasing costs of imported sensors, semiconductors, imaging components, and specialized hardware. These cost pressures are more evident for imaging devices, surgical robots, and monitoring equipment, particularly in north america and europe. Higher production costs have slowed device upgrades for hospitals and healthcare providers. However, tariffs have encouraged localized manufacturing and regional supply chain development. This has supported long-term resilience and innovation in ai-enabled medical device production.
The AI in medical devices market research report is one of a series of new reports that provides AI in medical devices market statistics, including AI in medical devices industry global market size, regional shares, competitors with a AI in medical devices market share, detailed AI in medical devices market segments, market trends and opportunities, and any further data you may need to thrive in the AI in medical devices industry. This AI in medical devices market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The utilization of advanced algorithms, machine learning techniques, and other artificial intelligence (AI) technologies in medical devices aims to enhance their performance and capabilities. This integration of AI in medical devices contributes to improved diagnostic accuracy, assistance in surgical procedures, prediction of patient outcomes, and the personalization of treatment plans.
AI in medical devices can be deployed through two main methods, cloud and on-premise. Cloud deployment involves utilizing a remote server network for data storage, processing, and management over the Internet, as opposed to relying on a local server or personal computer. This approach encompasses various technologies such as context awareness, deep learning, machine learning, natural language processing, predictive analytics, among others. These technologies find applications in diverse areas such as patient care, treatment, diagnosis, monitoring, and more. The primary end-users of AI in medical devices include hospitals and healthcare providers, patients, pharmaceutical and biotechnology companies, as well as healthcare payers.
The AI in medical devices market consists of revenues earned by entities by providing AI in medical devices such as diagnosis and treatment planning, remote monitoring, and robotic surgery. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in medical devices market also includes sales of diagnostic imaging systems, wearable devices, electronic health records (EHRs), robotic surgical systems, and AI monitoring devices, which are used in providing AI in medical devices services. 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.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. AI in Medical Devices Market Characteristics
3. AI in Medical Devices Market Supply Chain Analysis
4. Global AI in Medical Devices Market Trends and Strategies
5. AI in Medical Devices Market Analysis of End Use Industries
7. Global AI in Medical Devices Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global AI in Medical Devices Total Addressable Market (TAM) Analysis for the Market
9. AI in Medical Devices Market Segmentation
10. AI in Medical Devices Market, Industry Metrics by Country
11. AI in Medical Devices Market Regional and Country Analysis
12. Asia-Pacific AI in Medical Devices Market
13. China AI in Medical Devices Market
14. India AI in Medical Devices Market
15. Japan AI in Medical Devices Market
16. Australia AI in Medical Devices Market
17. Indonesia AI in Medical Devices Market
18. South Korea AI in Medical Devices Market
19. Taiwan AI in Medical Devices Market
20. South East Asia AI in Medical Devices Market
21. Western Europe AI in Medical Devices Market
22. UK AI in Medical Devices Market
23. Germany AI in Medical Devices Market
24. France AI in Medical Devices Market
25. Italy AI in Medical Devices Market
26. Spain AI in Medical Devices Market
27. Eastern Europe AI in Medical Devices Market
28. Russia AI in Medical Devices Market
29. North America AI in Medical Devices Market
30. USA AI in Medical Devices Market
31. Canada AI in Medical Devices Market
32. South America AI in Medical Devices Market
33. Brazil AI in Medical Devices Market
34. Middle East AI in Medical Devices Market
35. Africa AI in Medical Devices Market
37. AI in Medical Devices Market Competitive Landscape and Company Profiles
38. AI in Medical Devices Market Other Major and Innovative Companies
41. AI in Medical Devices Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
AI In Medical Devices Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses AI in medical devices market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for AI in medical devices? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The AI in medical devices market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Offerings: Hardware; Software; Services2) 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 Equipment2) 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
Companies Mentioned: 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI in Medical Devices market report include:- 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.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 16.16 Billion |
| Forecasted Market Value ( USD | $ 42.43 Billion |
| Compound Annual Growth Rate | 27.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |
