Artificial Intelligence (AI)-Enhanced Medication Adherence Sensor Global Market Report 2025

The artificial intelligence (AI)-enhanced medication adherence sensor market size has grown rapidly in recent years. It will grow from $1.63 billion in 2024 to $1.96 billion in 2025 at a compound annual growth rate (CAGR) of 19.9%. The growth during the historic period can be attributed to the rising prevalence of chronic diseases, an increasing aging population, growing awareness of medication compliance, escalating healthcare costs due to non-adherence, expansion of patient-centered care programs, and the rise in government initiatives for health monitoring.

The artificial intelligence (AI)-enhanced medication adherence sensor market size is expected to see rapid growth in the next few years. It will grow to $3.99 billion in 2029 at a compound annual growth rate (CAGR) of 19.5%. The growth during the forecast period can be attributed to the increasing focus on personalized healthcare management, rising demand for remote patient monitoring, growing burden of long-term medication therapies, higher healthcare expenditure on chronic illness management, expansion of home-based medical care services, and greater emphasis on preventive healthcare practices. Key trends in the forecast period include advancements in smart sensor miniaturization, development of AI-driven health analytics, innovations in real-time medication tracking systems, expansion of cloud-based patient adherence platforms, research in ingestible and wearable sensor technologies, and innovations in data integration for predictive medication behavior.

The rising demand for remote patient monitoring is expected to drive the growth of the artificial intelligence (AI)-enhanced medication adherence sensor market going forward. Remote patient monitoring (RPM) uses connected digital technologies to collect and transmit patients’ health data from outside traditional healthcare settings, enabling clinicians to monitor and manage conditions in real time. The expansion of RPM is being fueled by increased investments in digital health infrastructure, accelerating the integration of connected monitoring technologies into patient care. AI-enhanced medication adherence sensors track medication intake in real time and transmit adherence data to healthcare providers, allowing timely interventions, reducing missed doses, and enabling clinicians to monitor treatment compliance remotely. For instance, in April 2025, according to the Parliamentary Office of Science and Technology, England had 12,825 virtual ward beds in March 2025, equivalent to 20 beds per 100,000 GP-registered individuals, with 76.2% occupancy accommodating 9,767 patients. Therefore, the growing demand for remote patient monitoring is driving the artificial intelligence (AI)-enhanced medication adherence sensor market.

Major companies in the artificial intelligence (AI)-enhanced medication adherence sensor market are focusing on developing easy-to-integrate solutions such as smart pill bottle-based systems to streamline patient monitoring, enhance medication compliance, and facilitate seamless data sharing with healthcare providers. Smart pill bottle-based systems track medication intake in real time, record adherence data, and send alerts and reminders to ensure timely dosing while providing actionable insights to clinicians. For instance, in June 2024, PatchRx, a US-based digital health company, launched PatchRx Connect, an easy-to-integrate solution that embeds real-time medication adherence data directly into existing care management platforms. It enables clinical teams to gain immediate insights into patients' medication-taking behaviors without disrupting workflows or patient experience. The system includes a smart pill bottle cap (PatchCap) that tracks medication use, a cellular gateway that streams data securely without Wi-Fi or mobile app dependency, and a Connect API that allows providers to view adherence metrics within their own software, improving treatment outcomes and reducing costs through timely interventions.

In August 2025, Custom Health, a US-based provider of medication management and connected care services, acquired PatchRx for an undisclosed amount. Through this acquisition, Custom Health gains access to PatchRx’s smart pill-bottle cap technology and adherence analytics platform, enhancing its medication tracking and intervention capabilities while expanding remote monitoring of patient adherence. PatchRx is a US-based provider of artificial intelligence (AI)-enhanced medication adherence sensors.

Major players in the artificial intelligence (ai)-enhanced medication adherence sensor market are Koninklijke Philips N.V., AptarGroup Inc., Guangdong Transtek Medical Electronics Co. Ltd., Schreiner Group GmbH & Co. KG, MedMinder Systems Inc., Spencer Health Solutions Inc., Adherium Limited, AdhereTech Inc., Amiko Digital Health Limited, AiCure Inc., AARDEX Group Ltd., iZafe Group AB, TabTime Ltd., EtectRx Inc., SMRxT Inc., Wisepill Technologies Proprietary Ltd., Popit Ltd., Evalan B.V., WatchMinder Co., and Pivotell Ltd.

North America was the largest region in the artificial intelligence (AI)-enhanced medication adherence sensor market in 2024. The regions covered in artificial intelligence (AI)-enhanced medication adherence sensor report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The fast surge in U.S. tariffs and the trade tensions that followed in spring 2025 are heavily affecting the medical equipment sector, particularly for imported imaging machine components, surgical-grade stainless steel, and plastic disposables. Hospitals and clinics resist price hikes, pressuring manufacturers’ margins. Regulatory hurdles compound the problem, as tariff-related supplier changes often require re-certification of devices, delaying time-to-market. Companies are mitigating risks by dual-sourcing critical parts, expanding domestic production of commoditized items, and accelerating R&D in cost-efficient materials.

The artificial intelligence (AI)-enhanced medication adherence sensor market research report is one of a series of new reports that provides artificial intelligence (AI)-enhanced medication adherence sensor market statistics, including artificial intelligence (AI)-enhanced medication adherence sensor industry global market size, regional shares, competitors with a artificial intelligence (AI)-enhanced medication adherence sensor market share, detailed artificial intelligence (AI)-enhanced medication adherence sensor market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-enhanced medication adherence sensor industry. The artificial intelligence (AI)-enhanced medication adherence sensor market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Artificial intelligence (AI)-enhanced medication adherence sensors are advanced devices that monitor patients’ medication intake in real time using intelligent algorithms. They track adherence patterns, analyze data instantly, and provide actionable insights for timely intervention. These systems improve compliance, reduce missed doses, and enhance overall treatment effectiveness. Their advanced analytics enable proactive management of medication routines, supporting better health outcomes.

The main product types of AI-enhanced medication adherence sensors include wearable sensors, ingestible sensors, smart pill bottles, smart packaging, and others. Wearable sensors are devices worn on the body that monitor medication intake and physiological responses using AI algorithms for precise adherence tracking. The sensor technologies incorporate AI algorithms, Internet of Things (IoT) integration, cloud-based solutions, mobile applications, and others, and are distributed through various online and offline channels. They are applied in areas such as chronic disease management, elderly care, clinical trials, home healthcare, and others, serving end-users including patients, healthcare providers, pharmaceutical companies, and others.

The countries covered in the artificial intelligence (AI)-enhanced medication adherence sensor market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-enhanced medication adherence sensor market consists of revenues earned by entities by providing services such as real-time monitoring, adherence analysis, alerts and reminders, data reporting, actionable insights, and integration with digital health platforms. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-enhanced medication adherence sensor market also includes sales of smart medication dispensers, connected pill organizers, sensor-embedded patches, Bluetooth-enabled monitoring devices, smart dosage caps, and digital health monitoring kits. 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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