PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1747681
PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1747681
Artificial Intelligence / Machine Learning in Medical Devices
Global Artificial Intelligence / Machine Learning in Medical Devices Market to Reach US$14.0 Billion by 2030
The global market for Artificial Intelligence / Machine Learning in Medical Devices estimated at US$4.7 Billion in the year 2024, is expected to reach US$14.0 Billion by 2030, growing at a CAGR of 19.8% over the analysis period 2024-2030. AI / ML System / Hardware, one of the segments analyzed in the report, is expected to record a 18.2% CAGR and reach US$8.8 Billion by the end of the analysis period. Growth in the Software-As-A Medical Device segment is estimated at 22.8% CAGR over the analysis period.
The U.S. Market is Estimated at US$1.2 Billion While China is Forecast to Grow at 18.8% CAGR
The Artificial Intelligence / Machine Learning in Medical Devices market in the U.S. is estimated at US$1.2 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.2 Billion by the year 2030 trailing a CAGR of 18.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 18.0% and 17.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 14.7% CAGR.
Global Artificial Intelligence / Machine Learning in Medical Devices Market - Key Trends & Drivers Summarized
Why Are AI and Machine Learning Transforming the Performance, Utility, and Design of Medical Devices?
Artificial Intelligence (AI) and Machine Learning (ML) are redefining the capabilities of medical devices, enabling real-time data analysis, predictive diagnostics, and adaptive therapeutic interventions across multiple clinical disciplines. By embedding intelligent algorithms into hardware platforms, medical devices are evolving from passive tools into active decision-support and automation systems. AI/ML integration is now central to digital health transformation, offering enhanced clinical accuracy, workflow efficiency, and personalized care delivery.
Diagnostic devices leveraging ML can rapidly analyze imaging, waveform, or sensor data to detect anomalies, prioritize critical cases, and reduce diagnostic variability. In radiology, for instance, AI-augmented imaging systems detect early-stage tumors, classify fractures, and segment anatomical structures with precision that rivals or augments human interpretation. Meanwhile, ML-driven wearable and implantable devices continuously monitor physiological parameters-such as ECG, glucose levels, or oxygen saturation-to predict deterioration, flag outliers, and enable preemptive care interventions.
In therapeutic applications, AI algorithms support device-guided surgery, dosage optimization, and closed-loop stimulation systems. Robotic-assisted surgical platforms use ML to refine motion control and map anatomical nuances in real-time. AI-powered infusion pumps and neuromodulation devices adjust treatment regimens dynamically based on patient-specific feedback loops. As regulatory bodies approve a growing number of AI/ML-enabled software as a medical device (SaMD) solutions, intelligent device functionality is becoming a clinical imperative rather than a competitive novelty.
How Are Algorithm Validation, Data Ecosystems, and Edge AI Enhancing Adoption of AI/ML in Medical Devices?
Algorithm validation and model transparency are foundational to trust and adoption in medical AI. Developers are investing in large-scale, multi-institutional training datasets and real-world evidence (RWE) to ensure algorithm generalizability across patient demographics and clinical settings. Techniques such as federated learning and explainable AI (XAI) are gaining traction, enabling continuous model improvement without compromising data privacy or interpretability. Regulatory agencies, including the FDA, are establishing adaptive frameworks to approve ML algorithms that evolve post-deployment-supporting safer, lifecycle-managed innovation.
Data integration is further accelerating AI/ML deployment across the device landscape. Medical devices now interface with cloud platforms, hospital information systems (HIS), electronic health records (EHR), and wearable ecosystems to contextualize sensor data and enhance clinical relevance. Interoperability standards such as HL7 FHIR are facilitating cross-platform data exchange, allowing AI algorithms to draw insights from multimodal sources. These insights not only improve diagnostic and therapeutic precision but also contribute to longitudinal patient management.
Edge AI-the deployment of machine learning models directly on-device-is a critical enabler for latency-sensitive applications such as point-of-care diagnostics, portable ultrasound, or remote monitoring wearables. By minimizing reliance on continuous cloud connectivity, edge AI ensures responsiveness, data privacy, and operability in low-bandwidth or decentralized environments. Miniaturization of processors, advances in low-power computing, and embedded ML chipsets are supporting the growth of intelligent, self-contained medical devices capable of real-time autonomous decision-making.
Which Clinical Domains and Regional Markets Are Driving AI/ML Adoption in Medical Devices?
Radiology, cardiology, neurology, and oncology represent the most advanced domains in AI/ML-driven medical device adoption, owing to their high imaging intensity, data complexity, and need for diagnostic accuracy. AI-enhanced ultrasound, MRI, CT, and PET systems are being deployed in hospitals and imaging centers to automate workflows, reduce scan-to-diagnosis time, and support overburdened radiology departments. In cardiology, AI-enabled ECG monitors, wearable arrhythmia detectors, and heart failure prediction systems are improving chronic disease surveillance and risk stratification.
Surgical robotics, anesthesia monitoring, and critical care systems are incorporating ML algorithms to optimize intraoperative decisions, ventilator management, and post-operative recovery pathways. In consumer health and home care, AI-enabled devices such as smart glucometers, digital stethoscopes, and fall detection wearables are bridging gaps in continuity of care and enabling scalable chronic disease management. Dental and ophthalmic devices are also integrating AI for image analysis, procedural planning, and risk detection, expanding application boundaries.
North America dominates the AI/ML-enabled medical device landscape, driven by early regulatory approvals, strong digital health infrastructure, and a robust base of AI startups and MedTech incumbents. Europe follows closely, with emphasis on ethical AI, data privacy compliance (GDPR), and public-private innovation frameworks. The Asia-Pacific region is witnessing rapid uptake, particularly in China, Japan, South Korea, and India-where government investments, digital transformation agendas, and large untapped patient datasets are accelerating AI/ML integration. Growth in Latin America, the Middle East, and Africa is expected to be driven by mobile diagnostics, telehealth-linked devices, and public health infrastructure modernization.
How Are Regulatory Standards, Business Models, and Clinical Integration Strategies Reshaping the Competitive Landscape?
Global regulatory frameworks are evolving to accommodate the unique lifecycle of AI/ML-enabled devices. Regulatory bodies are issuing guidelines for algorithm transparency, real-world validation, and change management to address continuous learning models. The FDA’s action plan for AI/ML medical software and the EU MDR’s classification criteria are helping define pathways for safe, repeatable deployment. These frameworks are encouraging early-stage AI developers to incorporate regulatory strategy at the core of product design.
Business models are shifting toward AI-as-a-service, subscription-based analytics, and outcomes-based contracting. Device manufacturers are embedding AI modules as differentiated add-ons-offering hospitals predictive insights, workflow efficiency, and diagnostics-as-a-platform capabilities. Strategic alliances with cloud providers, EHR vendors, and clinical AI startups are enabling MedTech firms to scale AI/ML integration without rebuilding full-stack capabilities in-house. Reimbursement strategies are emerging for AI-driven diagnostics and triage tools, further supporting commercialization viability.
Successful adoption hinges on seamless clinical integration. Developers are focusing on intuitive user interfaces, clinician-in-the-loop controls, and integration with existing workflows to avoid alert fatigue or workflow disruption. Training programs, real-world case studies, and post-market surveillance systems are critical in building clinician trust and ensuring safe adoption. As competitive intensity rises, AI-enabled device differentiation is increasingly dependent on clinical relevance, interoperability, and regulatory agility rather than algorithm sophistication alone.
What Are the Factors Driving Growth in the AI/ML in Medical Devices Market?
The AI/ML in medical devices market is growing rapidly, driven by rising healthcare digitization, growing volumes of patient data, and clinical demand for precision, automation, and decision support. The convergence of computing power, data availability, and algorithm maturity is enabling medical devices to become intelligent, context-aware tools that proactively assist clinicians across diagnosis, monitoring, and treatment.
Advances in edge AI, explainable algorithms, and regulatory frameworks are making AI-enabled devices safer, more scalable, and more commercially viable. As clinical workflows demand actionable insights at the point of care, and as payers push for value-based outcomes, intelligent medical devices are aligning with broader healthcare system transformation goals.
Looking ahead, the market’s trajectory will depend on how effectively AI-enabled devices integrate into clinical decision-making, balance innovation with safety, and demonstrate measurable improvements in patient outcomes. As medical devices evolve from passive instruments to cognitive collaborators, could AI/ML define the next frontier of adaptive, personalized, and data-driven healthcare delivery?
SCOPE OF STUDY:
The report analyzes the Artificial Intelligence / Machine Learning in Medical Devices market in terms of units by the following Segments, and Geographic Regions/Countries:
Segments:
Product Type (System / Hardware, Software-As-A Medical Device); Clinical Area (Radiology, Cardiology, Hematology, Other Clinical Areas)
Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.
Select Competitors (Total 34 Featured) -
- AEYE Health
- AliveCor
- Atomwise
- Behold.ai
- BenevolentAI
- BioSerenity
- Butterfly Network
- Clarius Mobile Health
- CorticoMetrics
- Cyclica
- Eko Health
- Empatica
- Enlitic
- Exscientia
- GE Healthcare
- HeartFlow
- iCAD Inc.
- Lantheus Holdings
- Medtronic
- NVIDIA
TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.
We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.
We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.
As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.
To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!
APRIL 2025: NEGOTIATION PHASE
Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.
JULY 2025 FINAL TARIFF RESET
Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.
Reciprocal and Bilateral Trade & Tariff Impact Analyses:
USA <> CHINA <> MEXICO <> CANADA <> EU <> JAPAN <> INDIA <> 176 OTHER COUNTRIES.
Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.
COMPLIMENTARY PREVIEW
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TABLE OF CONTENTS
I. METHODOLOGY
II. EXECUTIVE SUMMARY
- 1. MARKET OVERVIEW
- Influencer Market Insights
- World Market Trajectories
- Artificial Intelligence / Machine Learning in Medical Devices - Global Key Competitors Percentage Market Share in 2025 (E)
- Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
- 2. FOCUS ON SELECT PLAYERS
- 3. MARKET TRENDS & DRIVERS
- Rising Demand for Intelligent Diagnostics and Predictive Monitoring Throws the Spotlight on AI/ML Integration in Medical Devices
- Growth in Radiology, Pathology, and Imaging Interpretation Spurs Use of Machine Learning for Automated Analysis
- OEM Focus on Workflow Automation and Clinical Decision Support Strengthens AI Use in Healthcare Devices
- Expansion of Wearable and Remote Monitoring Technologies Bodes Well for AI in Real-Time Health Management
- Use of Natural Language Processing and Voice Interfaces Enhances Smart Device Usability in Clinical Settings
- Adoption of AI in Surgical Robotics Improves Precision, Planning, and Outcome Prediction
- Integration With EHR Systems Enables Data-Driven Personalization and Early Risk Identification
- Growth in Patient Engagement Tools and Digital Therapeutics Supports AI for Behavioral and Chronic Condition Management
- Investment in Explainable AI and Model Transparency Enhances Trust and Adoption Among Clinicians
- 4. GLOBAL MARKET PERSPECTIVE
- TABLE 1: World Artificial Intelligence / Machine Learning in Medical Devices Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
- TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 3: World 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
- TABLE 4: World Recent Past, Current & Future Analysis for System / Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 5: World 6-Year Perspective for System / Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
- TABLE 6: World Recent Past, Current & Future Analysis for Software-As-A Medical Device by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 7: World 6-Year Perspective for Software-As-A Medical Device by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
- TABLE 8: World Recent Past, Current & Future Analysis for Radiology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 9: World 6-Year Perspective for Radiology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
- TABLE 10: World Recent Past, Current & Future Analysis for Cardiology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 11: World 6-Year Perspective for Cardiology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
- TABLE 12: World Recent Past, Current & Future Analysis for Hematology by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 13: World 6-Year Perspective for Hematology by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
- TABLE 14: World Recent Past, Current & Future Analysis for Other Clinical Areas by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 15: World 6-Year Perspective for Other Clinical Areas by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
III. MARKET ANALYSIS
- UNITED STATES
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
- TABLE 16: USA Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 17: USA 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 18: USA Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 19: USA 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- CANADA
- TABLE 20: Canada Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 21: Canada 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 22: Canada Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 23: Canada 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- JAPAN
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
- TABLE 24: Japan Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 25: Japan 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 26: Japan Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 27: Japan 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- CHINA
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
- TABLE 28: China Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 29: China 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 30: China Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 31: China 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- EUROPE
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
- TABLE 32: Europe Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
- TABLE 33: Europe 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
- TABLE 34: Europe Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 35: Europe 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 36: Europe Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 37: Europe 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- FRANCE
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
- TABLE 38: France Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 39: France 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 40: France Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 41: France 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- GERMANY
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
- TABLE 42: Germany Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 43: Germany 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 44: Germany Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 45: Germany 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- ITALY
- TABLE 46: Italy Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 47: Italy 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 48: Italy Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 49: Italy 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- UNITED KINGDOM
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
- TABLE 50: UK Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 51: UK 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 52: UK Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 53: UK 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- REST OF EUROPE
- TABLE 54: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 55: Rest of Europe 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 56: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 57: Rest of Europe 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- ASIA-PACIFIC
- Artificial Intelligence / Machine Learning in Medical Devices Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
- TABLE 58: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 59: Asia-Pacific 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 60: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 61: Asia-Pacific 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
- REST OF WORLD
- TABLE 62: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - System / Hardware and Software-As-A Medical Device - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 63: Rest of World 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Product Type - Percentage Breakdown of Value Sales for System / Hardware and Software-As-A Medical Device for the Years 2025 & 2030
- TABLE 64: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Radiology, Cardiology, Hematology and Other Clinical Areas - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
- TABLE 65: Rest of World 6-Year Perspective for Artificial Intelligence / Machine Learning in Medical Devices by Clinical Area - Percentage Breakdown of Value Sales for Radiology, Cardiology, Hematology and Other Clinical Areas for the Years 2025 & 2030
IV. COMPETITION
