The artificial intelligence in medicine market size is expected to see exponential growth in the next few years. It will grow to $80.59 billion in 2030 at a compound annual growth rate (CAGR) of 38.8%. The growth in the forecast period can be attributed to increasing adoption of ai-enabled personalized medicine, rising investments in healthcare ai platforms, expansion of remote and digital care models, growing use of predictive analytics in population health, increasing integration of ai across clinical workflows. Major trends in the forecast period include increasing deployment of AI-based clinical decision support systems, rising adoption of personalized treatment algorithms, growing use of ai for disease risk prediction, expansion of ai applications in hospital operations, enhanced focus on data-driven patient management.
The growing interest in real-time remote patient monitoring (RPM) systems is expected to drive the expansion of artificial intelligence in the medicine market in the coming years. A remote patient monitoring system is a technology-based healthcare solution designed to track patients' health outside traditional healthcare environments. Artificial intelligence (AI) in medicine has notably transformed remote patient monitoring by utilizing advanced algorithms to process large volumes of patient data, providing predictive insights and facilitating personalized care. For example, in November 2025, according to Statistics Canada, a Canada-based government agency, the highest proportions of individuals who had virtual appointments only were found in Newfoundland and Labrador (13.2%), British Columbia (10.6%), and Nova Scotia (10.4%). Saskatchewan (2.1%), Alberta (2.4%), and Manitoba (3.3%) recorded the lowest proportions of those who had virtual appointments only. Consequently, the rising interest in real-time remote patient monitoring (RPM) systems is fueling the growth of artificial intelligence in the medicine market.
Major companies in the artificial intelligence in medicine market are concentrating on creating innovative solutions, such as AI-powered platforms, to deliver reliable services to clients. An AI-powered platform is a software solution that integrates artificial intelligence (AI) technologies to automate processes, analyze data, and generate predictions. For example, in April 2023, OM1 Inc., a US-based digital health company, introduced PhenOM. It leverages real-world data and advanced analytics to identify distinctive digital phenotypes linked to conditions and outcomes, generating unique profiles for different patient groups. PhenOM can examine individual patient data to assess risks, highlight potential interventions, and guide treatment decisions.
In July 2024, GE HealthCare, a US-based medical technology company, acquired the clinical artificial intelligence (AI) software business of Intelligent Ultrasound Group PLC for approximately $51 million. This acquisition strengthens GE HealthCare's dedication to advancing its ultrasound portfolio with innovative AI-driven image recognition technology, designed to improve exam accuracy and efficiency in patient care. Intelligent Ultrasound Group PLC is a UK-based company specializing in AI-based clinical image analysis tools for diagnostic medical ultrasound.
Major companies operating in the artificial intelligence in medicine market are Google LLC, Microsoft Corporation, Intel Corporation, IBM Corporation, Medtronic PLC, Nvidia Corporation, Siemens Healthineers AG, Philips Healthcare, Babylon Healthcare Services Ltd., Komodo Health Inc., Modernizing Medicine Inc., Viz.ai Inc., Butterfly Network Inc., Augmedix, AiCure LLC, HealthTap Inc., Welltok Inc., Enlitic Inc., PathAI Inc., Nano-X Imaging Ltd., Berg LLC, Insitro, Sense.ly Inc., Subtle Medical Inc., Medasense Biometrics Limited, Immunai, Atomwise Inc., Freenome Holdings Inc., CloudMedX Inc.
North America was the largest region in the artificial intelligence in medicine market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in medicine market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in medicine market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are impacting the artificial intelligence in medicine market by raising costs of imported computing hardware, medical-grade servers, networking infrastructure, and AI-enabled medical devices. Healthcare systems in North America and Europe are most affected due to dependence on imported technology components, while Asia-Pacific experiences higher costs in scaling AI-driven healthcare platforms. These tariffs are increasing deployment costs and extending procurement timelines for AI solutions. However, they are also accelerating adoption of cloud-based AI services, domestic medical device manufacturing, and regionally developed healthcare AI software ecosystems.
The artificial intelligence in medicine market research report is one of a series of new reports that provides artificial intelligence in medicine market statistics, including artificial intelligence in medicine industry global market size, regional shares, competitors with a artificial intelligence in medicine market share, detailed artificial intelligence in medicine market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in medicine industry. This artificial intelligence in medicine 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.
Artificial intelligence in medicine involves the use of AI technologies, including machine learning and data analysis, to improve diagnosis, treatment, and healthcare management. It supports quicker and more precise disease detection, customized treatment strategies, and enhanced overall efficiency in medical procedures.
The primary categories of artificial intelligence in medicine are hardware, software, and services. The capabilities of hardware, including multi-purpose computers, embedded motherboards, and fanless embedded systems, serve as essential building blocks for medical devices that utilize AI. The different technologies encompass machine learning, natural language processing, context-aware processing, and computer vision. These are applied in areas such as medical administration and support, patient management, research and development, and others, and are used by various end users including hospitals, clinics, and research institutions.
The artificial intelligence (AI) in the medicine market consists of revenues earned by entities by providing services such as diagnostic assistance, drug discovery and development, patient management, and monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the medicine market also includes sales of diagnostic imaging devices, smart medical devices, and genomic sequencing equipment. 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.
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Table of Contents
Executive Summary
Artificial Intelligence In Medicine Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence in medicine 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.
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Description
Where is the largest and fastest growing market for artificial intelligence in medicine? 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 artificial intelligence in medicine 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 Type: Hardware; Software; Services2) By Technology: Machine Learning; Natural Language Processing; Context-Aware Processing; Computer Vision
3) By Application: Medical Administration And Support; Patient Management; Research And Development; Other Applications
4) By End User: Hospitals; Clinics; Research Institutions
Subsegments:
1) By Hardware: AI-Powered Imaging Devices; Robotics And Automation Devices; Wearable Health Devices; Servers And Computing Systems2) By Software: Machine Learning Algorithms; Natural Language Processing (NLP) Tools; Image Analysis Software; Predictive Analytics Software; Clinical Decision Support Systems
3) By Services: AI Consulting Services; Integration Services; Maintenance And Support Services; Data Management Services; Training And Education Services
Companies Mentioned: Google LLC; Microsoft Corporation; Intel Corporation; IBM Corporation; Medtronic PLC; Nvidia Corporation; Siemens Healthineers AG; Philips Healthcare; Babylon Healthcare Services Ltd.; Komodo Health Inc.; Modernizing Medicine Inc.; Viz.ai Inc.; Butterfly Network Inc.; Augmedix; AiCure LLC; HealthTap Inc.; Welltok Inc.; Enlitic Inc.; PathAI Inc.; Nano-X Imaging Ltd.; Berg LLC; Insitro; Sense.ly Inc.; Subtle Medical Inc.; Medasense Biometrics Limited; Immunai; Atomwise Inc.; Freenome Holdings Inc.; CloudMedX 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 Artificial Intelligence in Medicine market report include:- Google LLC
- Microsoft Corporation
- Intel Corporation
- IBM Corporation
- Medtronic PLC
- Nvidia Corporation
- Siemens Healthineers AG
- Philips Healthcare
- Babylon Healthcare Services Ltd.
- Komodo Health Inc.
- Modernizing Medicine Inc.
- Viz.ai Inc.
- Butterfly Network Inc.
- Augmedix
- AiCure LLC
- HealthTap Inc.
- Welltok Inc.
- Enlitic Inc.
- PathAI Inc.
- Nano-X Imaging Ltd.
- Berg LLC
- Insitro
- Sense.ly Inc.
- Subtle Medical Inc.
- Medasense Biometrics Limited
- Immunai
- Atomwise Inc.
- Freenome Holdings Inc.
- CloudMedX Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 21.7 Billion |
| Forecasted Market Value ( USD | $ 80.59 Billion |
| Compound Annual Growth Rate | 38.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 30 |


