Connected Home Medical Monitoring Devices Reach 160 Million by 2030

Introduction

The Internet of Things is fundamentally reshaping healthcare delivery, with connected home medical monitoring devices emerging as one of the most significant IoT verticals in modern medicine. According to Berg Insight, the global installed base of these devices is projected to grow from 92.7 million in 2025 to nearly 160 million by 2030, representing a compound annual growth rate (CAGR) of 11.5%. This expansion is not merely a statistic — it reflects a paradigm shift in how chronic conditions are managed, how patients interact with the healthcare system, and how IoT infrastructure supports clinical outcomes outside traditional hospital settings.

The driving forces behind this growth are multifaceted. Diabetes management, cardiac monitoring, and medication adherence are the primary applications fueling adoption, but the implications extend well beyond these three categories. As healthcare systems worldwide face aging populations and rising cost pressures, connected medical devices offer a pathway to extend care into the home, reduce hospital readmissions, and empower patients to take a more active role in their own health. The IoT layer — enabling devices to sense, transmit, and aggregate data — is the indispensable infrastructure making this possible.

Sleep Therapy Dominates, While Diabetes Monitoring Gains Momentum

Three application areas account for much of the connected home medical monitoring market: sleep therapy, diabetes management, and implantable cardiac rhythm management (CRM). Sleep therapy remains the largest segment, with ResMed holding a dominant position alongside manufacturers including Philips, BMC Medical, and Löwenstein Medical Technology. The number of remotely monitored sleep therapy patients has more than doubled since 2018, largely supported by treatment compliance monitoring requirements introduced in the US and Europe. For conditions like sleep apnea, continuous remote monitoring allows clinicians to adjust therapy parameters without requiring in-person visits, improving both patient comfort and treatment efficacy.

Diabetes management has emerged as the second-largest segment, reaching 19.5 million connections worldwide in 2025. Growth is being supported by the expanding use of continuous glucose monitoring (CGM) and connected insulin delivery systems from companies including Abbott, Dexcom, Insulet, Tandem Diabetes Care, and Medtronic's MiniMed portfolio. These systems allow patients to track glucose levels in real time, share data with caregivers, and automate insulin delivery in some configurations. The clinical value is clear: tighter glucose control reduces the risk of long-term complications, and remote data transmission means clinicians can intervene proactively when readings drift outside target ranges.

Cardiac rhythm management represents another established application, with manufacturers such as Medtronic, Abbott, Boston Scientific, and BIOTRONIK having incorporated connectivity into implantable devices for more than two decades. Pacemakers and defibrillators that transmit cardiac data to monitoring centers have become standard of care for patients with high-risk arrhythmias. The ability to detect atrial fibrillation episodes, voltage anomalies, or lead issues remotely has already prevented countless emergency admissions, and the technology continues to evolve with each generation of device.

Connected Healthcare Is Moving Beyond Device Connectivity

One significant development highlighted by Berg Insight's research is the growing importance of software and service platforms within the mHealth ecosystem. While connected medical devices provide the underlying patient measurements, platforms from companies such as Huma Therapeutics, Doccla, Teladoc Health, CareSimple, and Current Health support the collection, analysis, and management of patient information across remote care programmes. This changes the requirements for healthcare IoT deployments.

Reliable device connectivity remains essential, but delivering clinical value increasingly depends on the ability to consolidate information from different devices, present meaningful insights to medical professionals, and integrate monitoring into existing care processes. For medical device manufacturers and IoT solution providers, this creates an important distinction between selling connected hardware and participating in a complete remote patient monitoring ecosystem. Device interoperability, dependable data delivery, and integration with healthcare software become important considerations as deployments expand across multiple medical conditions and care providers.

The trend also has implications for system integrators and connectivity providers. Medical monitoring applications must support different device types, patient environments, and data collection requirements, making end-to-end service reliability an important operational consideration. The IoT stack for healthcare is therefore multi-layered: at the edge, sensors and medical devices; in the middle, connectivity networks ( cellular, Wi-Fi, Bluetooth); and at the top, software platforms that transform raw data into clinical actionability.

AI Adds Another Layer to Remote Patient Monitoring

Artificial intelligence is becoming increasingly relevant as healthcare organisations seek to extract actionable information from growing volumes of remotely collected patient data. According to Berg Insight, AI and machine learning can help identify early indications of patient deterioration, support clinical decision-making, and enable more proactive interventions outside traditional healthcare facilities. However, the growing use of analytics also reinforces the importance of distinguishing between collecting more data and making that data clinically useful.

Continuous monitoring may produce a richer picture of a patient's condition, but its practical value depends on how effectively healthcare professionals can interpret and act on the information. The broader direction of the market is therefore not simply towards a larger population of connected medical devices. It is towards integrated home monitoring systems combining medical hardware, connectivity, software, and analytics as part of routine patient care. For the IoT industry, Berg Insight's forecast points to a market where long-term opportunities increasingly extend beyond device connections to the infrastructure and services required to deliver dependable, clinically relevant remote monitoring at scale.

Industrial IoT Parallels: Lessons From Smart Metering

The trajectory of connected medical devices mirrors developments in industrial IoT, particularly in the smart metering sector. Just as utility companies have deployed millions of IoT-enabled gas and water meters to enable real-time consumption tracking, the healthcare sector is now deploying connected medical devices at scale. The Wirepas case study — connecting 700,000 smart meters in the Himalayas using RF mesh technology — illustrates both the scalability and the resilience challenges of large IoT deployments. Mesh networking, self-healing routing, and remote firmware updates are not unique to healthcare, but the regulatory and clinical stakes make reliability non-negotiable in the medical context.

The EU Energy Efficiency Directive, which mandates continuous energy monitoring for industrial facilities above certain thresholds, provides a useful parallel. Just as the directive has driven IoT sensor adoption in factories, regulatory pressure is a key driver in healthcare IoT. The 2030 target for connected medical device adoption is not arbitrary — it aligns with broader policy frameworks aiming to digitize health systems and reduce the carbon footprint of healthcare delivery through remote care.

Edge AI and the Next Frontier of IoT Healthcare

Looking ahead, the convergence of edge AI and connected medical devices promises to further accelerate adoption. Processing data locally on the device — rather than transmitting all raw data to the cloud — reduces latency, improves privacy, and enables real-time alerts even when network connectivity is intermittent. For sleep apnea detection, for example, edge AI can analyze PPG and accelerometer data on the device itself to flag abnormal breathing events without uploading every heartbeat to a remote server. For continuous glucose monitors, edge algorithms can smooth noisy sensor readings and predict glucose direction changes hours in advance.

Berg Insight's forecast already assumes a significant role for software and analytics in the remote monitoring ecosystem. The next wave of growth will likely come from devices that not only connect but also reason locally, reducing the bandwidth burden on healthcare networks while improving the timeliness of clinical interventions. This is the edge IoT evolution: from devices that sense and transmit, to devices that sense, reason, and act.

Conclusion

The growth from 92.7 million to nearly 160 million connected home medical monitoring devices by 2030 represents more than a market trend — it is a foundational shift in how healthcare is delivered. Sleep therapy, diabetes management, and cardiac rhythm care are the three pillars supporting this expansion, but the real transformation lies in the integration of hardware, connectivity, software, and analytics into cohesive remote patient monitoring systems. As the IoT industry continues to mature, the distinction between "connected device" and "clinical-grade remote monitoring platform" will become increasingly blurred, and the value proposition will shift from connectivity alone to end-to-end clinical outcomes.

For IoT solution providers, the opportunity is clear: build interoperable, reliable, and clinically validated systems that integrate seamlessly into existing healthcare workflows. For healthcare systems, the imperative is to invest in the infrastructure and analytics capabilities needed to turn data into action. And for patients, the promise is more continuous, more personalized, and more proactive care — delivered not in a clinic, but at home.

Images

Figure 1: Cc2530 Zigbee wireless module — representative of the low-power IoT connectivity layer that enables connected medical devices to transmit data reliably over long battery life.

Figure 2: Hue smart bulb dimmer switch — illustrative of consumer IoT form factors that have paved the way for medical device miniaturization and user-friendly design.

References

• Berg Insight: "Connected Home Medical Monitoring Devices" — installed base forecast 2025–2030
• Berg Insight market reports on sleep therapy, diabetes management, and cardiac rhythm management
• ResMed annual reports and FDA clearance documents for sleep therapy devices
• Abbott, Dexcom, Medtronic product pipelines for continuous glucose monitoring and implantable cardiac devices
• Huma Therapeutics, Doccla, Teladoc Health remote patient monitoring platforms
• Wirepas case study: 700,000 smart meters in the Himalayas (IoT Business News, October 2026)
• EU Energy Efficiency Directive 2026/763 — regulatory parallel for IoT-driven continuous monitoring
• Grand View Research: Edge AI market size projections 2025–2033
• IoT Analytics: Connected IoT Devices Forecast to 2030

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