AI in Blood Pressure Monitoring Market Size, Share & Trends Analysis Report By By Device Type (Wearable Devices), By Technology (Machine Learning Algorithms), By Delivery Mode (On-Device AI, Cloud-Based AI, And Hybrid AI), By Application (Cardiovascular Disease Prediction, Hypertension Management, Remote Patient Monitoring, Fitness And Wellness, Others), By End User, By Region, And By Segment Forecasts, 2025-2034.

Report Id: 3091 Pages: 170 Last Updated: 18 June 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of AI in Blood Pressure Monitoring Market-

AI in Blood Pressure Monitoring Market By Device Type-

  • Wearable Devices
    • Smartwatches
    • Smart Rings
    • Patch Sensors
    • Fitness Bands
  • Cuffless Solutions
  • Cuff-based Device

AI In Blood Pressure Monitoring Market

AI in Blood Pressure Monitoring Market By Delivery Mode-

  • On-Device AI
  • Cloud-based AI
  • Hybrid AI

AI in Blood Pressure Monitoring Market By Technology-

  • Natural Language Processing (NLP)
  • Machine Learning Algorithms
    • Deep Learning
    • Unsupervised
    • Supervised
    • Others
  • Computer Vision Techniques

AI in Blood Pressure Monitoring Market By Application-

  • Cardiovascular Disease Prediction
  • Hypertension Management
  • Remote Patient Monitoring
  • Fitness and Wellness
  • Others

AI in Blood Pressure Monitoring Market By End-User-

  • Hospitals & Acute Care
  • Clinics & Ambulatory Care
  • Home Care Settings/Patient (Consumers)
  • Others

AI in Blood Pressure Monitoring Market By Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

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

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

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

AI in Blood Pressure Monitoring Market is expected to grow at a 12.3% CAGR during the forecast period for 2025-2034

A&D Company, Limited, Aktiia SA, Beurer GmbH, Binah ai, Biobeat Technologies, Biofourmis, Biospectal SA, Edwards Lifesciences Corporation (now BD), Fa

Form, Product, and Distribution Channel are the key segments of the AI in Blood Pressure Monitoring Market.

North America region is leading the AI in Blood Pressure Monitoring Market.

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