AI-Driven Medical Device Vigilance Platform Market Report 2026

The artificial intelligence (AI)-driven medical device vigilance platform market size has grown exponentially in recent years. It will grow from $2.02 billion in 2025 to $2.48 billion in 2026 at a compound annual growth rate (CAGR) of 22.9%. The growth in the historic period can be attributed to increasing medical device adoption rates, expansion of post-market surveillance requirements, rising complexity of device portfolios, growth in adverse event reporting databases, early use of data analytics in vigilance.

The artificial intelligence (AI)-driven medical device vigilance platform market size is expected to see exponential growth in the next few years. It will grow to $5.61 billion in 2030 at a compound annual growth rate (CAGR) of 22.6%. The growth in the forecast period can be attributed to increasing regulatory scrutiny on device safety, rising demand for real-time risk monitoring, expansion of cloud-based vigilance platforms, growing integration with hospital device data, increasing adoption of ai-driven compliance tools. Major trends in the forecast period include increasing adoption of AI-based signal detection systems, rising use of predictive analytics for device safety, growing integration of real-time vigilance platforms, expansion of automated regulatory reporting, enhanced focus on proactive risk management.

The increasing healthcare expenditure is expected to drive the growth of the artificial intelligence (AI)-driven medical device vigilance platform market in the coming years. Healthcare expenditure refers to the total spending by individuals, institutions, and governments on services and activities aimed at maintaining or improving health. This expenditure is rising due to the growing prevalence of chronic diseases, which increases the demand for continuous medical care, long-term treatments, and management resources. Higher healthcare spending supports AI-driven medical device vigilance platforms by enabling hospitals and healthcare providers to implement comprehensive safety and monitoring programs, ensuring regulatory compliance and enhanced patient protection. For example, in April 2025, the Office for National Statistics, a UK government agency, reported that government-funded healthcare accounted for the majority of healthcare spending in the UK, reaching $344 billion (£258 billion) in 2024, a 2.5% increase in real terms compared to 2023. Consequently, rising healthcare expenditure is fueling the growth of the AI-driven medical device vigilance platform market.

The expansion of clinical research is also expected to drive the growth of the AI-driven medical device vigilance platform market. Clinical research expansion refers to the increase in clinical trials, research centres, and resources aimed at advancing medical knowledge and improving patient outcomes. This growth is supported by rising public-private investment, which enhances the ability to conduct more trials, streamline research processes, and improve access to innovative treatments. Clinical research expansion supports AI-driven medical device vigilance platforms by providing healthcare providers and research institutions with the infrastructure and funding necessary to implement robust monitoring programs, ensure regulatory compliance, and enhance patient safety. For instance, in December 2024, the UK government announced a $134 million (£100 million) investment to establish 20 new commercial research delivery centres (CRDCs) across England, Scotland, Wales, and Northern Ireland to improve patient access to clinical trials and accelerate research approvals. Therefore, the expansion of clinical research is contributing to the growth of the AI-driven medical device vigilance platform market.

Key players in the AI-driven medical device vigilance platform market are focusing on developing advanced solutions, such as post-market device surveillance platforms, to provide healthcare providers and manufacturers with actionable insights to enhance patient outcomes and optimize device performance. Post-market device surveillance platforms are systems designed to monitor and evaluate the safety and performance of medical devices after they are deployed in healthcare settings. For example, in October 2025, Basil Systems, a US-based company specializing in AI-powered platforms, launched the MedTech Safety Signaling platform. This platform uses AI to detect potential risks early, transforming post-market surveillance into a proactive safety approach. It analyzes regulatory documents, inspection reports, and adverse event narratives using large language models trained on comprehensive industry datasets to uncover patterns that are difficult to identify manually. The system organizes and interprets the data, linking related events to their original sources with confidence levels, allowing manufacturers to identify safety trends, implement preventive measures, anticipate regulatory scrutiny, and guide product development decisions.

Major companies operating in the artificial intelligence (AI)-driven medical device vigilance platform market are Amazon Web Services Inc., Johnson & Johnson Services Inc., International Business Machines Corporation, Oracle Corporation, Abbott Laboratories, Medtronic Plc, Siemens Healthineers AG, Stryker Corporation, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Cognizant Technology Solutions Corporation, Boston Scientific Corporation, DXC TECHNOLOGY COMPANY, Baxter International Inc., Wipro Limited, Zimmer Biomet Holdings Inc., Veeva Systems Inc., Medidata Solutions Inc., Tata Consultancy Services Limited, AssurX Inc.

North America was the largest region in the artificial intelligence (AI)-driven medical device vigilance platform market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven medical device vigilance platform 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 (AI)-driven medical device vigilance platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are influencing the ai-driven medical device vigilance platform market by increasing costs of imported servers, data storage systems, networking equipment, sensors, and advanced analytics hardware. Medical device manufacturers and hospitals in North America and Europe are most affected due to dependence on imported IT infrastructure, while Asia-Pacific faces higher costs for platform deployment. These tariffs are increasing implementation expenses and extending deployment timelines. At the same time, they are supporting localized data center investments, regional software development, and cloud-first vigilance platform adoption.

The artificial intelligence (AI)-driven medical device vigilance platform market research report is one of a series of new reports that provides artificial intelligence (AI)-driven medical device vigilance platform market statistics, including artificial intelligence (AI)-driven medical device vigilance platform industry global market size, regional shares, competitors with a artificial intelligence (AI)-driven medical device vigilance platform market share, detailed artificial intelligence (AI)-driven medical device vigilance platform market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven medical device vigilance platform industry. This artificial intelligence (AI)-driven medical device vigilance platform 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.

An artificial intelligence (AI)-driven medical device vigilance platform is a technology-based system that uses AI tools to monitor and assess the safety performance of medical devices. It leverages machine learning and data analytics to process large volumes of information, identify potential safety issues, and detect early warning signs of device-related risks.

The main components of AI-driven medical device vigilance platforms include software, hardware, and services. Software consists of programs and applications that enable devices and computers to perform specialized tasks. These platforms are deployed through on-premises and cloud-based models and are used for applications such as adverse event detection, regulatory compliance, risk management, data analytics, and more. End-users include hospitals, medical device manufacturers, regulatory agencies, contract research organizations, and other stakeholders.

The artificial intelligence (AI)-driven medical device vigilance platform market consists of revenues earned by entities by providing services such as post-market surveillance management, real-world data integration, data cleaning and normalization, safety signal prioritization, and compliance 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)-driven medical device vigilance platform market also includes sales of data storage appliances, secure enclosures, portable monitoring units, and redundant power systems. 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.