AUSTIN, Nov. 6, 2025 (Globe Newswire) — AI-based blood pressure monitoring market size and growth analysis:
According to SNS Insider, worldwide AI in the blood pressure monitoring market It was valued at USD 928.55 million in 2024 and is expected to reach USD 7,587.48 million by 2032, registering a CAGR of 30.08% over the forecast period 2025-2032. In the United States, the market size in 2024 was USD 344.46 million and is projected to grow to USD 2,761.47 million by 2032, at a CAGR of 29.77%.
Market growth is primarily driven by increasing adoption of AI-enabled blood pressure monitoring devices, rise of wearable technology and cuffless solutions, and expanding use of real-time monitoring for hypertension management and remote care. These innovations enable non-invasive, continuous blood pressure monitoring, enabling early detection of cardiovascular risk and enhanced patient engagement.

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Market overview
AI in the blood pressure monitoring market is rapidly expanding due to increased focus on wearable devices, cuffless solutions, and advanced machine learning and computer vision algorithms. Integrating AI into blood pressure monitoring devices enables more accurate readings, trend predictions, and remote patient monitoring capabilities. As global health systems increasingly focus on hypertension management and telehealth services, AI-based blood pressure monitoring is becoming a key component of both clinical and home care workflows.
In the US, the market is supported by strong adoption of wearable medical devices, regulatory acceptance of digital medical tools, and growth in telemedicine infrastructure.
Scope of the AI Blood Pressure Monitoring Market Report
| Report attributes | detail |
| Market size in 2024 | 928.55 million USD |
| Market size by 2032 | 7,587.48 million USD |
| CAGR | CAGR from 2025 to 2032 is 30.08% |
| base year | 2024 |
| Forecast period | 2025-2032 |
| Past data | 2021-2023 |
| Major segments | By device type (wearable devices, cuff-based devices, cuffless solutions)
By technology (machine learning algorithms, natural language processing (NLP), computer vision techniques) By delivery mode (on-device AI, cloud-based AI, hybrid AI) By application (hypertension management, cardiovascular disease prediction, remote patient monitoring, fitness and wellness, etc.) By end use (hospital and acute care, home health care environment/patient (consumer), clinic and outpatient care, other) |
| Regional analysis/coverage | North America (US, Canada), Europe (Germany, UK, France, Italy, Spain, Russia, Poland, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN countries, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Mexico, Colombia, Rest of Latin America). |
AI in Blood Pressure Monitoring Market Segmentation Analysis:
By device type
The wearable devices sector dominated the market share of AI in blood pressure monitoring with 43% in 2024, driven by the growing need for continuous real-time health monitoring and the rise of health smartwatches and fitness trackers. The cuffless solutions sector is projected to grow the fastest during the forecast period. The rise of AI algorithms, sensor technology, and effortless design continues to drive this growth.
By technology
The Machine Learning Algorithms segment led the AI in blood pressure monitoring market in 2024 with a market share of 54.28%, as a result of its proven track record of improving diagnostic accuracy and predictive insights. The computer vision technology sector is expected to grow at the highest growth rate during the forecast period due to rising demand for non-contact and camera-based blood pressure measurement technologies.
By delivery mode
The on-device AI segment accounted for the largest share of the blood pressure monitoring AI market in 2024 with a market share of 41.5% due to its ability to provide instant analysis, increased privacy, and less dependence on internet connectivity.
By use
In 2024, the hypertension management segment led the AI with a 38.6% blood pressure monitoring market share. This is due to the global increase in high blood pressure cases and the growing demand for accurate continuous monitoring to avoid complications such as stroke and cardiovascular disease. The remote patient monitoring (RPM) segment is expected to exhibit the highest growth rate during the forecast period due to the rising need for home care and chronic disease management.
By end use
Hospitals and acute care sectors accounted for the largest share of AI in the blood pressure monitoring market in 2024, with a market share of 48.15%, as a result of the increased adoption of AI technology in clinical workflows to improve patient monitoring, diagnosis, and decision support. The home healthcare environment/patient (consumer) segment is likely to witness the fastest growth during the forecast period due to the rising demand for personal and convenient health monitoring.
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regional insights
In 2024, North America captured 50.05% of the AI in Blood Pressure Monitoring market share due to highly developed healthcare infrastructure, early adoption of digital health technologies, and strong presence of leading players across the region.
The rapid digital transformation of healthcare, coupled with increasing awareness of preventive care and the region’s growing middle-class population, is expected to drive demand for AI-powered blood pressure monitoring solutions. As a result, the blood pressure monitor-based AI segment has become the fastest growing category in the Asia-Pacific market and is projected to register a CAGR of 31.26% during the forecast period.
Analysis of the key players covered in the AI-based Blood Pressure Monitoring market report include:
- Omron Healthcare
- Fitbit (Google)
- samsung electronics
- apple company
- biobeat technologies
- Withings
- Microlife Co., Ltd.
- Spacelabs Healthcare
- A&D Medical
- SunTech Medical and other companies included in the final report
Recent developments:
- May 2025 – OMRON Healthcare has launched a new series of home blood pressure monitors that integrate artificial intelligence (AI) to detect atrial fibrillation (AF). Thanks to the company’s proprietary Intellisense AFib algorithm based on machine learning, these monitors automatically screen for AF with every blood pressure measurement.
- May 2023, Google-owned Fitbit has filed a patent for a compact blood pressure monitoring system that can be integrated into a smartwatch. A pressure-sensitive screen (force sensor) and a photoplethysmography (PPG) sensor are utilized to estimate systolic and diastolic measurements.
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Dedicated section of the report (USP):
- AI-integrated device adoption rate – Helps understand regional differences in the adoption of AI-powered blood pressure monitoring systems, highlighting markets with the highest penetration rates and potential for future growth.
- Algorithm accuracy and clinical validation trends – Helps assess the reliability and clinical reliability of AI algorithms used for blood pressure monitoring and ensure compliance with medical standards.
- Penetration of cuffless and on-wrist monitoring devices – Helps identify new opportunities in next-generation wearable non-invasive blood pressure monitoring technologies.
- Trends in AI deployment modes – Helps analyze the advantages of cloud-based versus on-device AI models and their impact on data security, cost, and scalability in healthcare applications.
- Integration into remote patient monitoring (RPM) programs – Helps you understand how AI-enabled blood pressure monitoring devices can be integrated into RPM frameworks to enhance preventive care and real-time health insights
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