Global AI in Blood Pressure Monitoring Market size is valued at USD 942.3 Mn in 2024 and is predicted to reach USD 12,749.2 Mn by the year 2034 at a 12.3% CAGR during the forecast period for 2025-2034.
The healthcare sector could undergo a significant transformation as a result of artificial intelligence, particularly in areas such as vital signs and blood pressure monitoring. Generative AI models offer innovative solutions to overcome these limitations in the new era of continuous, personalised, and data-driven healthcare. One of the most significant ways AI is transforming vital sign monitoring is by facilitating frequent and easy remote data collection.
The market is expanding due to several key factors, including the rising prevalence of cardiovascular and hypertension disorders, the growing demand for continuous and non-invasive monitoring, and the increasing adoption of innovative health devices by consumers. Further driving market expansion are developments in AI and sensor technologies, as well as the integration of these technologies with telehealth and remote patient monitoring platforms. The worldwide rise in the prevalence of cardiovascular diseases (CVDs) and hypertension is a major factor driving the market expansion for AI in blood pressure monitoring.
Additionally, advancements in sensor and AI technology support the growth of the AI in blood pressure monitoring market. The precision and dependability of blood pressure measurement have been greatly improved by developments in machine learning, edge computing, and biosensor downsizing. Furthermore, several significant firms in the industry are engaging in a moderate level of merger and acquisition activity. This is a result of the ambition to improve technological capabilities, consolidate in a rapidly expanding market, and gain a competitive edge in the business.
Some of the Major Key Players in the AI in Blood Pressure Monitoring Market are:
The AI in Blood Pressure Monitoring market is segmented based on device type, delivery mode, technology, application, and end-user. Based on device type, the market is segmented into wearable devices (smartwatches, smart rings, patch sensors, fitness bands), cuffless solutions, and cuff-based device. By delivery mode, the market is segmented into on-device AI, cloud-based AI, and hybrid AI. By technology, the market is segmented into natural language processing (NLP), machine learning algorithms (deep learning, unsupervised, supervised, others) and computer vision techniques. By application, the market is segmented into cardiovascular disease prediction, hypertension management, remote patient monitoring, fitness and wellness, others. By end-user, the market is segmented into hospitals & acute care, clinics & ambulatory care, home care settings/patient (consumers), and others.
The Wearable Devices category is expected to hold a major global market share in 2021. These gadgets provide non-invasive, round-the-clock blood pressure monitoring, allowing patients and medical professionals to track changes in health over time. Wearables that combine AI-driven insights with blood pressure monitoring to identify anomalies and recommend lifestyle modifications are becoming more and more popular among consumers. Furthermore, businesses are now able to incorporate AI algorithms straight into wearable technology due to developments in machine learning and sensor downsizing, allowing for real-time data processing without the need for external systems.
The hospitals & acute care category had the biggest market share because of its vital role in providing patients with acute and chronic cardiovascular problems with quick, accurate, and advanced care. Acute care facilities and hospitals are among the first to implement AI-enabled monitoring systems, incorporating them into the existing healthcare framework to enhance patient outcomes, reduce human error, and enhance professional judgment. Furthermore, healthcare organisations are utilising artificial intelligence in their facilities to enhance patient care.
The North American AI in Blood Pressure Monitoring market is expected to register the highest market share in revenue in the near future attributed to strong reimbursement systems, the prevalence of heart disease, and the rapid integration of artificial intelligence into digital health systems. Further encouraging wider adoption include consumer health awareness, high disposable income, and the desire for wearable and home-based monitoring gadgets. In addition, the Asia Pacific is projected to grow rapidly in the global AI in Blood Pressure Monitoring market due to a rise in the prevalence of hypertension, increased manufacturing investment, and growing public awareness of health issues. The need for AI in blood pressure monitoring is increasing as the population ages and chronic diseases like diabetes, cancer, and cardiovascular diseases become more common.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 942.3 Mn |
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Revenue Forecast In 2034 |
USD 12,749.2 Mn |
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Growth Rate CAGR |
CAGR of 30.3% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Form, Product, And Distribution Channel |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia |
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Competitive Landscape |
A&D Company, Limited, Aktiia SA, Beurer GmbH, Binah ai, Biobeat Technologies, Biofourmis, Biospectal SA, Edwards Lifesciences Corporation (now BD), FaceHeart Corporation, Fourth Frontier Technologies Pvt. Ltd., GF Health Products, Inc., Healthstats International Pte. Ltd., Huawei Technologies Co., Ltd., Masimo Corporation, Microlife Corporation, Nanowear, Nihon Kohden Corporation, Rossmax International Ltd., Shen AI, SOMNOmedics AG, SunTech Medical, Inc., Valencell, INC., Withings, Xplore Health Technologies Pvt. Ltd., Other Players. |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI In Blood Pressure Monitoring Market Snapshot
Chapter 4. Global AI In Blood Pressure Monitoring Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Global AI In Blood Pressure Monitoring Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.10. Use/impact of AI on AI IN BLOOD PRESSURE MONITORING MARKET Industry Trends
Chapter 5. AI In Blood Pressure Monitoring Market Segmentation 1: By Device Type, Estimates & Trend Analysis
5.1. Market Share by Device Type, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Device Type:
5.2.1. Wearable Devices
5.2.1.1. Smartwatches
5.2.1.2. Fitness Bands
5.2.1.3. Patch Sensors
5.2.1.4. Smart Rings
5.2.2. Cuff-based Device
5.2.3. Cuffless Solutions
Chapter 6. AI In Blood Pressure Monitoring Market Segmentation 2: By Technology, Estimates & Trend Analysis
6.1. Market Share by Technology, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
6.2.1. Machine Learning Algorithms
6.2.1.1. Deep learning
6.2.1.2. Supervised
6.2.1.3. Unsupervised
6.2.1.4. Others
6.2.2. Natural Language Processing (NLP)
6.2.3. Computer Vision Techniques
Chapter 7. AI In Blood Pressure Monitoring Market Segmentation 3: By Delivery Mode, Estimates & Trend Analysis
7.1. Market Share by Delivery Mode, 2024 & 2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Delivery Mode:
7.2.1. On-Device AI
7.2.2. Cloud-based AI
7.2.3. Hybrid AI
Chapter 8. AI In Blood Pressure Monitoring Market Segmentation 4: By Application, Estimates & Trend Analysis
8.1. Market Share by Application, 2024 & 2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
8.2.1. Hypertension Management
8.2.2. Cardiovascular Disease Prediction
8.2.3. Remote Patient Monitoring
8.2.4. Fitness and Wellness
8.2.5. Others
Chapter 9. AI In Blood Pressure Monitoring Market Segmentation 5: By End-User Industry, Estimates & Trend Analysis
9.1. Market Share by End-User Industry, 2024 & 2034
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-User Industry:
9.2.1. Hospitals & Acute Care
9.2.2. Home Care Settings/Patient (Consumers)
9.2.3. Clinics & Ambulatory Care
9.2.4. Others
Chapter 10. AI In Blood Pressure Monitoring Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global AI In Blood Pressure Monitoring Market, Regional Snapshot 2024 & 2034
10.2. North America
10.2.1. North America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Device Type, 2021-2034
10.2.3. North America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.2.4. North America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Delivery Mode, 2021-2034
10.2.5. North America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.2.6. North America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.3. Europe
10.3.1. Europe AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Device Type, 2021-2034
10.3.3. Europe AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.3.4. Europe AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Delivery Mode, 2021-2034
10.3.5. Europe AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.3.6. Europe AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.4. Asia Pacific
10.4.1. Asia Pacific AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.4.1.1. India
10.4.1.2. China
10.4.1.3. Japan
10.4.1.4. Australia
10.4.1.5. South Korea
10.4.1.6. Hong Kong
10.4.1.7. Southeast Asia
10.4.1.8. Rest of Asia Pacific
10.4.2. Asia Pacific AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Device Type, 2021-2034
10.4.3. Asia Pacific AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.4.4. Asia Pacific AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Delivery Mode, 2021-2034
10.4.5. Asia Pacific AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts By Application, 2021-2034
10.4.6. Asia Pacific AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.5. Latin America
10.5.1. Latin America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.5.1.1. Brazil
10.5.1.2. Mexico
10.5.1.3. Rest of Latin America
10.5.2. Latin America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Device Type, 2021-2034
10.5.3. Latin America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.5.4. Latin America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Delivery Mode, 2021-2034
10.5.5. Latin America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.5.6. Latin America AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
10.6. Middle East & Africa
10.6.1. Middle East & Africa AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.6.1.1. GCC Countries
10.6.1.2. Israel
10.6.1.3. South Africa
10.6.1.4. Rest of Middle East and Africa
10.6.2. Middle East & Africa AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Device Type, 2021-2034
10.6.3. Middle East & Africa AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.6.4. Middle East & Africa AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Delivery Mode, 2021-2034
10.6.5. Middle East & Africa AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.6.6. Middle East & Africa AI In Blood Pressure Monitoring Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. A&D Company, Limited
11.2.1.1. Business Overview
11.2.1.2. Key Product/Service
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
11.2.2. Aktiia SA
11.2.3. Beurer GmbH
11.2.4. Binah ai
11.2.5. Biobeat Technologies
11.2.6. Biofourmis
11.2.7. Biospectal SA
11.2.8. Edwards Lifesciences Corporation (now BD)
11.2.9. FaceHeart Corporation
11.2.10. Fourth Frontier Technologies Pvt. Ltd.
11.2.11. GF Health Products, Inc.
11.2.12. Healthstats International Pte. Ltd.
11.2.13. Huawei Technologies Co., Ltd.
11.2.14. Masimo Corporation
11.2.15. Microlife Corporation
11.2.16. Nanowear
11.2.17. Nihon Kohden Corporation
11.2.18. Rossmax International Ltd.
11.2.19. Shen AI
11.2.20. SOMNOmedics AG
11.2.21. SunTech Medical, Inc.
11.2.22. Valencell, INC.
11.2.23. Withings
11.2.24. Xplore Health Technologies Pvt. Ltd.
11.2.25. Other Players
Segmentation of AI in Blood Pressure Monitoring Market-
AI in Blood Pressure Monitoring Market By Device Type-
AI in Blood Pressure Monitoring Market By Delivery Mode-
AI in Blood Pressure Monitoring Market By Technology-
AI in Blood Pressure Monitoring Market By Application-
AI in Blood Pressure Monitoring Market By End-User-
AI in Blood Pressure Monitoring Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
