Ottawa, Feb. 24, 2026 (GLOBE NEWSWIRE) -- The global AI in blood pressure monitoring market size is calculated at USD 1.59 billion in 2026 and is expected to reach around USD 16.89 billion by 2035, growing at a CAGR of 30% for the forecasted period.
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Key Takeaways
- North America accounted for the largest share of the AI in blood pressure monitoring market in 2024.
- Asia Pacific is expected to grow at the fastest CAGR in the studied years.
- By device type, the wearable devices segment registered dominance in the market in 2025.
- By device type, the cuffless solutions segment is expected to grow at the fastest CAGR in the market during the forecast period.
- By technology, the machine learning segment led the market in 2025.
- By technology, the computer vision techniques segment is expected to grow at the fastest CAGR in the market during the forecast period.
- By delivery mode, the on-device AI segment accounted for a considerable revenue share in the market in 2025.
- By delivery mode, the cloud-based AI segment is expected to grow at the fastest CAGR in the market during the forecast period.
- By application, the hypertension management segment holds a dominant position in the AI in blood pressure monitoring market in 2025.
- By application, the remote patient monitoring segment is expected to grow at the fastest CAGR in the market during the forecast period.
- By end-user, the hospitals & acute care segment dominated the market in 2025.
- By end-user, the homecare settings/patient (consumers) segment is expected to grow at the fastest CAGR in the market during the forecast period.
What is AI in Blood Pressure Monitoring?
AI in blood pressure monitoring refers to the use of AI algorithms to continuously analyze physiological data, enabling more accurate, real-time blood pressure estimation, early detection of abnormalities, and personalized hypertension management. The AI in blood pressure monitoring market is growing due to rising hypertension prevalence, increasing demand for remote patient monitoring, and widespread adoption of wearable and smart health devices. AI enhances accuracy, enables continuous and cuffless monitoring, and supports early risk detection. Growing focus on preventive healthcare, integration with digital health platforms, and support from healthcare providers for data-driven decision-making are further accelerating market growth globally.
For Instance,
- In August 2024, Bisam Pharmaceuticals introduced Quick Vitals, an AI- and deep learning enabled health monitoring app in Hyderabad. The solution leverages PPG technology to quickly measure key vitals, including heart rate, blood pressure, and SpO₂, using smartphones or tablets, delivering accurate results within seconds.
AI vs. Clinician Response Time in Critical Detection
| Response Method | Detection Time | Data Source |
| AI System | 2 minutes | BP Genie Clinical Trial (2024) |
| Clinicians | 1440 minutes (24 hours) | Hospital Audit Logs (2023) |
AI systems can detect clinical issues within minutes, while traditional workflows may take up to a full day. This highlights how automation can significantly accelerate early identification and decision-making in healthcare settings.
What are the Prominent Drivers in the AI in Blood Pressure Monitoring Market?
The market is driven by the rising global burden of hypertension, growing adoption of wearable and remote monitoring devices, and demand for continuous, cuffless measurement. Advances in AI algorithms improve accuracy and early risk detection. Increasing focus on preventive healthcare, integration with digital health platforms, telemedicine growth, and greater awareness of home-based monitoring solutions are further accelerating market expansion.
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What are the Substantial Trends in the AI in Blood Pressure Monitoring Market?
- In November 2025, Omron Healthcare entered into an MoU with Sky Labs to expand their collaboration and bring CART BP, a cuffless blood pressure monitoring solution, to the consumer market, strengthening their presence in AI-enabled, non-invasive blood pressure monitoring technologies.
- In February 2025, NowPatient partnered with Lifelight to develop a smartphone-based blood pressure measurement platform. The collaboration integrates NowPatient’s virtual care ecosystem with Lifelight’s clinically validated technology to enable accurate, accessible blood pressure monitoring through mobile devices.
Distribution of Blood Pressure Levels Among Canadian Adults (2016–2019)
Most young adults (20–39) have normal blood pressure, but the prevalence of hypertension increases significantly with age. Adults aged 60–79 show the highest proportion of Stage 2 hypertension or diagnosed cases, indicating a strong age-related risk trend.
What is the Emerging Challenge in the AI in Blood Pressure Monitoring Market?
The market faces challenges related to data accuracy across diverse populations, limited clinical validation of cuffless technologies, and regulatory approval complexities. Variability in smartphone sensors and wearables can impact reliability. Data privacy and cybersecurity concerns, integration with existing healthcare systems, and user adherence also pose barriers. Additionally, a lack of standardized validation protocols and clinician trust may slow widespread adoption.
Regional Analysis
What Made North America Dominant in the AI in Blood Pressure Monitoring Market in 2025?
North America dominated the market in 2025 due to high adoption of digital health technologies, widespread use of widespread use of werables, and strong healthcare IT infrastructure. The region benefits from a high prevalence of hypertension, early integration of AI in remote patient monitoring, supportive reimbursement policies, and significant investments by technology companies and healthcare providers. Strong regulatory frameworks and active clinical validation further accelerated market leadership.
In the U.S., the increasing prevalence of hypertension drives the adoption of AI-powered blood pressure monitoring solutions in clinical and home settings. Integration with telehealth platforms, reimbursement support, advanced data infrastructure, and patient demand for personalized, real-time insights further accelerate technology implementation.
How did the Asia Pacific Expand At the Fastest Pace in the Market in 2025?
The Asia Pacific expanded at the fastest pace in the AI in blood pressure monitoring market in 2025 due to rising hypertension prevalence, rapid adoption of smartphones and wearables, and increasing digital health investments. Growing awareness of preventive healthcare, expanding telemedicine services, and government initiatives supporting AI-driven healthcare solutions accelerated adoption. Additionally, cost-effective technologies, a large patient population, and improving healthcare infrastructure encouraged faster deployment of AI-enabled blood pressure monitoring across emerging and developed economies in the region.
In China, the government's emphasis on smart healthcare and an aging population spur the development of AI-enhanced blood pressure monitoring. Widespread mobile usage, investment in digital health startups, partnerships between tech firms and hospitals, and supportive regulatory frameworks foster scalable innovation outcomes for patients.
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By Device Type Insights
How did the Wearable Devices Segment Dominate the AI in Blood Pressure Monitoring Market in 2025?
The wearable devices segment dominated the market un blood pressure monitoring market in 2025 due to widespread adoption of smartwatches. AI-enabled wearable provider offers convenient, cuffless measurements, seamless smartphone integration, and personalized health insights. Growing consumer focus on strong supportive care, rising chronic disease management needs, and strong support from tech companies and healthcare providers further strengthened demand for wearable-based blood pressure monitoring solutions.
The cuffless solutions segment is expected to grow at the fastest CAGR due to increasing demand for continuous, non-invasive blood pressure monitoring. These solutions enhance user comfort, support real-time data collection, and enable long-term health tracking. Advancements in AI algorithms, sensor technologies, and smartphone-based measurements are improving accuracy. Growing adoption in remote patient monitoring, telehealth, and preventive care is further accelerating the uptake of cuffless blood pressure monitoring solutions.
By Technology Insights
Why the Machine Learning Dominated the AI in Blood Pressure Monitoring Market?
The machine learning segment dominated the market due to its ability to analyze large volumes of physiological data and improve measurement accuracy over time. ML algorithms adapt to individual user patterns, enabling personalized blood pressure estimation and early risk detection. Their scalability, compatibility with wearables and smartphones, and effectiveness in real-time data processing made machine learning the most widely adopted technology across consumer and clinical monitoring solutions.
The computer vision techniques segment is expected to grow at the fastest CAGR as camera-based blood pressure measurement gains traction. These techniques enable contactless monitoring using facial imaging and PPG signals captured via smartphones, improving accessibility and user convenience. Advancements in AI accuracy, increasing smartphone penetration, and growing demand for remote, at-home health monitoring solutions are accelerating the adoption of computer vision-based blood pressure technologies during the forecast period.
By Delivery Mode Insights
How did the On-device AI Segment Dominate the AI in Blood Pressure Monitoring Market in 2025?
The on-device AI segment dominated the market in 2025 due to its ability to deliver real-time analysis without relying on cloud connectivity. This approach enhances data privacy, reduces latency, and enables continuous monitoring on wearables and smartphones. Improved edge-AI processing power, lower energy consumption, and growing demand for secure, offline health monitoring solutions further supported widespread adoption of on-device AT technologies.
The cloud-based AI segment is expected to grow at the fastest CAGR due to its ability to process large-scale health data and support advanced analytics. Cloud platforms enable continuous algorithm updates, population-level insights, and seamless integration with telehealth systems. Growing adoption of remote patient monitoring, scalability advantages, and increasing use of AI-driven clinical decision support tools are accelerating demand for cloud-based AI solutions in blood pressure monitoring.
By Application Insights
How did the Hypertension Management Segment Dominate the AI in Blood Pressure Monitoring Market in 2025?
The hypertension management segment dominated the market in 2025 due to the high global prevalence of hypertension and the need for continuous, long-term monitoring. AI-enabled solutions support early detection, personalized treatment adjustments, and improved patient adherence. Integration with wearables and remote patient adherence. Integration with wearables and remote care platforms allowed clinicians to track trends in real time, reduce complications, and optimize therapy outcomes, driving widespread adoption for hypertension-focused applications.
The remote patient monitoring segment is expected to grow at the fastest CAGR due to increasing demand for at-home care and continuous real-time data transmission, early risk alerts, and proactive intervention. Expansion of telemedicine, rising chronic disease burden, and healthcare systems' focus on reducing hospital visits and costs are accelerating the adoption of remote monitoring solutions during the forecast period.
By End-User Insights
Why the Hospitals & Acute Care Segment Dominated the AI in Blood Pressure Monitoring Market?
The hospitals & acute care segment dominated the market due to the high volume of patients requiring continuous and accurate vital sign monitoring. Hospitals adopted AI-enabled systems to improve clinical decision-making, detect complications early, and enhance workflow efficiency. Strong investment in digital health infrastructure, availability of skilled professionals, and integration with electronic health records further supported widespread deployment in acute care settings.
The homecare settings/patient (consumers) segment is expected to grow at the fastest CAGR due to rising health awareness, increasing adoption of wearable devices, and demand for convenient, at-home monitoring. AI-enabled solutions allow users to track blood pressure in real time, receive personalized insights, and share data with healthcare providers. Growth in telemedicine, preventive care initiatives, and affordable digital health technologies is further driving adoption among consumers.
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What are the Recent Developments in the AI in Blood Pressure Monitoring Market
- In May 2025, Niloufer Hospital introduced AmruthSwasthBharath, an AI-powered diagnostic device for non-invasive blood testing. Using remote PPG technology, it delivers results in under a minute and measures key vitals, including blood pressure, heart rate, SpO₂, respiration rate, and hemoglobin A1c, directly through smartphones, enabling fast and convenient health monitoring.
- In April 2025, BD launched the HemoSphere Alta platform, an AI-powered hemodynamic monitoring system. The platform helps clinicians manage blood pressure fluctuations and optimize circulation in critical care. Features like the Cerebral Autoregulation Index and Acumen Hypotension Prediction Index provide advanced insights, supporting better patient management and improved clinical outcomes.
Key Players List
- Withings
- Aktiia SA
- Biospectal SA
- Valencell, INC.
- Biofourmis
- Edwards Lifesciences Corporation (now BD)
- Hello Heart
- FaceHeart Corporation
- Shen AI
- Huawei Technologies Co., Ltd.
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Segments Covered in the Report
By Device Type
- Wearable Devices
- Smartwatches
- Fitness Bands
- Patch Sensors
- Smart Rings
- Cuffless Solutions
- Cuff-based Devices
By Technology
- Machine Learning Algorithms
- Deep Learning
- Supervised
- Unsupervised
- Others
- Computer Vision Techniques
- Natural Language Processing (NLP)
By Delivery Mode
- On-Device AI
- Cloud-based AI
- Hybrid AI
By Application
- Hypertension Management
- Remote Patient Monitoring
- Cardiovascular Disease Prediction
- Fitness and Wellness
- Others
By End-Use
- Hospitals & Acute Care
- Home Care Settings/Patient (Consumers)
- Clinics & Ambulatory Care
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
- Asia Pacific
- Japan
- China
- India
- South Korea
- Australia
- Thailand
- Latin America
- Brazil
- Mexico
- Argentina
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
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