Authors:
Monali Tayade, Shishanka Wangnoo
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Software as a Medical Device (SaMD) Market Size & Share 2026-2035
Report ID: GMI16467
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Published Date: August 2026
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Software as a Medical Device (SaMD) Market Size
The global software as a medical device (SaMD) market was valued at USD 5.8 billion in 2025 and is projected to grow from USD 6.5 billion in 2026 to USD 21.1 billion by 2035, expanding at a CAGR of 13.9%, according to the latest report published by Global Market Insights Inc. The steady growth of the market is driven by the expansion of remote patient monitoring reimbursement codes, regulatory support for digital therapeutics and software-based solutions, rising adoption of digital health technologies and AI-powered diagnostic SaMD demonstrating superior clinical sensitivity in comparison with traditional methods, among other factors.
Software as a Medical Device (SaMD) Market Key Takeaways
Market Leader: GE HealthCare led with over 22% market share in 2025.
Leading Players: Top 5 players in this market include GE HealthCare, Siemens Healthineers, Koninklijke Philips, iRhythm Technologies, Tempus AI, which collectively held a market share of 58% in 2025.
Advancements in artificial intelligence and machine learning, penetration into emerging healthcare markets, and development of software for mental health management are among the key factors propelling the industry’s growth. The major players in the global market are GE HealthCare, Siemens Healthineers, Koninklijke Philips, iRhythm Technologies, and Tempus AI. These companies maintain their competitive position through consistent innovation, investment in R&D activities, global market presence, and collaboration with healthcare facilities, among others.
The market increased from USD 3.9 billion in 2022 to USD 5 billion in 2024, registering a historical growth rate of 12.3%. The increasing adoption of digital health technologies is a major driver for the software as a medical device market because healthcare providers are rapidly incorporating software-based solutions into diagnosis, treatment, monitoring, and patient engagement workflows. The widespread use of electronic health records, mobile health applications, connected medical devices, and cloud-based healthcare platforms has created a favorable environment for SaMD deployment. These solutions improve clinical efficiency, support data-driven decision-making, and enable real-time access to patient information.
Additionally, artificial intelligence-enabled diagnostic SaMD solutions are gaining traction because they can identify subtle patterns and abnormalities that may be difficult to detect through conventional diagnostic approaches. Enhanced clinical sensitivity can support earlier disease detection, faster diagnosis, and more consistent interpretation of medical data such as imaging, cardiac signals, and pathology results. Healthcare providers increasingly recognize the value of AI-assisted decision support tools in reducing diagnostic variability and improving workflow efficiency. As clinical evidence continues to validate the performance of these solutions across multiple therapeutic areas, healthcare organizations are adopting AI-powered SaMD to improve patient outcomes, creating substantial growth opportunities for the market.
Software as a Medical Device (SaMD) refers to software intended for medical purposes, such as diagnosis, monitoring, prevention, prediction, or treatment of diseases, that performs these functions independently of a dedicated hardware medical device while supporting clinical decision-making and patient care.
Software as a Medical Device (SaMD) Market Trends
Growth of digital therapeutics, shift toward personalized and predictive healthcare, greater integration with healthcare data ecosystems, and AI-enabled clinical decision support and diagnostics are among the key trends shaping the market growth in an upward trajectory.
Software as a Medical Device (SaMD) Market Analysis
Based on software type, the market is segmented into diagnostic and imaging software, clinical decision support (CDS) software, remote patient monitoring (RPM) software, digital therapeutics (DTx), surgical planning and navigation software, and other software types. The clinical decision support (CDS) software segment held a leading software as a medical device market share and was valued at USD 2 billion in 2025.
Based on deployment mode, the software as a medical device market is segmented into cloud-based and on-premise. The cloud-based segment is projected to expand at 14.3% CAGR to reach USD 14.1 billion by 2035.
Based on the IMDRF risk category, the SaMD market is segmented into category I, category II, category III, and category IV. The category II segment is projected to expand at a 13.7% CAGR to reach USD 9.4 billion by 2035.
Based on end use, the software as a medical device market is segmented into hospitals and clinics, diagnostic and radiology centers, home care settings, research and academic institutions, and other end users. The hospitals and clinics segment held a leading market share of 48.1% in 2025.
North America Software as a Medical Device (SaMD) Market
The North America region accounted for 40% of the market in 2025. The market is experiencing robust expansion, driven by the region’s advanced healthcare infrastructure, demand for personalized and data-driven treatment approaches, growing prevalence of chronic diseases, and integration with electronic health records (EHRs).
Europe Software as a Medical Device (SaMD) Market
Europe software as a medical device (SaMD) industry accounted for USD 1.6 billion in 2025 and is anticipated to show lucrative growth over the forecast period.
Asia Pacific Software as a Medical Device (SaMD) Market
The Asia Pacific region is projected to show a lucrative growth of about 15.4% during the forecast period.
Latin America Software as a Medical Device (SaMD) Market
Latin America is experiencing significant growth in the software as a medical device (SaMD) industry.
Middle East and Africa Software as a Medical Device (SaMD) Market
Software as a Medical Device (SaMD) Market Share
The software as a medical device industry is characterized by a highly competitive landscape comprising large medical technology companies, healthcare IT providers, specialized digital health firms, and emerging artificial intelligence innovators. Established players such as GE HealthCare, Siemens Healthineers, and Koninklijke Philips leverage their extensive healthcare infrastructure, imaging portfolios, and global customer networks to integrate advanced software solutions into clinical workflows. These companies focus on enhancing diagnostic accuracy, interoperability, and hospital operational efficiency through AI-enabled platforms and enterprise informatics solutions.
At the same time, specialized SaMD companies such as iRhythm have strengthened competition by developing disease-specific software platforms that address targeted clinical needs, particularly in areas such as cardiac monitoring and arrhythmia detection. Emerging technology-driven companies, including Tempus AI, are accelerating innovation through artificial intelligence, predictive analytics, and large-scale clinical data utilization to support precision medicine and personalized treatment decisions.
Additionally, competition in the market is increasingly centered on clinical validation, regulatory approvals, cybersecurity capabilities, and integration with electronic health records and connected medical devices. Strategic partnerships between software developers, healthcare providers, pharmaceutical companies, and device manufacturers have become a key differentiating factor.
Further, companies are investing heavily in cloud-based infrastructure, remote patient monitoring platforms, digital therapeutics, and AI-powered decision support tools. As healthcare systems continue to embrace digital transformation, innovation speed, real-world clinical evidence, and scalable software ecosystems remain critical factors influencing competitive positioning within the SaMD market.
Software as a Medical Device (SaMD) Market Companies
Few of the prominent players operating in the software as a medical device (SaMD) industry include:
GE HealthCare focuses on integrating AI-enabled software with its imaging and monitoring ecosystem, strengthening cloud-based healthcare platforms, expanding digital partnerships, and enhancing clinical decision support solutions to improve workflow efficiency and patient outcomes.
iRhythm focuses on expanding adoption of its AI-based cardiac monitoring and arrhythmia detection solutions, generating robust clinical evidence, enhancing analytical capabilities, and increasing provider engagement to support broader utilization across cardiovascular care.
Market Share of GE HealthCare 22%
Top 5 Players Collective Market Share Around 58%
Software as a Medical Device (SaMD) Industry News
The software as a medical device market research report includes an in-depth coverage of the industry with estimates and forecast in terms of revenue in USD Million and from 2022 - 2035 for the following segments:
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Market, By Software Type
Market, By Deployment Mode
Market, By IMDRF Risk Category
Market, By End Use
The above information is provided for the following regions and countries:
Table of Contents
Chapter 1 Methodology and Scope
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2025
Chapter 5 Market Estimates and Forecast, By Software Type, 2022 - 2035 ($ Mn)
Chapter 6 Market Estimates and Forecast, By Deployment Mode, 2022 - 2035 ($ Mn)
Chapter 7 Market Estimates and Forecast, By IMDRF Risk Category, 2022 - 2035 ($ Mn)
Chapter 8 Market Estimates and Forecast, By End Use, 2022 - 2035 ($ Mn)
Chapter 9 Market Estimates and Forecast, By Region, 2022 - 2035 ($ Mn)
Chapter 10 Company Profiles
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The companies listed in this report are a curated selection - not the full competitive universe.
Our market revenue calculations use a bottom-up methodology that accounts for all players across all regions - including manufacturers, distributors, and specialists not individually profiled. The profiles section spotlights strategically significant players; it does not define the scope of our market sizing.
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Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
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Verified data sources
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Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
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Company reports
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C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
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Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →