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市场调查报告书
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远端患者监护的人工智慧市场 - 市场洞察，竞争情形，市场预测:2032年

Artificial Intelligence (AI) in Remote Patient Monitoring - Market Insights, Competitive Landscape, and Market Forecast - 2032
出版日期: | 出版商: DelveInsight | 英文 150 Pages | 商品交期: 2-10个工作天内

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远距病人监护市场中的人工智慧 (AI) 按产品类型（设备、软体、服务）、应用领域（癌症、心血管疾病、生活方式疾病等）、最终用户（医院和诊所、诊断中心、家庭医疗保健环境）和地区（北美、欧洲、亚太地区、世界其他地区）细分，预计到 2032 年，受慢性病患病率和全球产品增长率的增长，该市场增长，该市场将显着增长和全球产品的复合市场增长，该市场将显着增长，该市场开发年增长率和全球产品增长，该市场将显着增长。

2024 年，远距病人监护市场中的人工智慧 (AI) 规模为 19.2651 亿美元。预计在 2025 年至 2032 年的预测期内，该市场的复合年增长率将达到 27.13%，到 2032 年将达到 131.268 亿美元。远距病人监护 (RPM) 市场中的人工智慧 (AI)由于癌症、心血管疾病和生活方式相关疾病等慢性病病例的增加，远距病人监护 (RPM) 市场经历了强劲增长。产品开发计划的激增、全球对数位医疗基础设施的投资不断增加以及对主动数据驱动型医疗保健的日益重视，进一步推动了这一增长。预计这些因素将在 2025 年至 2032 年的预测期内推动人工智慧驱动的远距病人监护 (RPM) 市场大幅扩张。

人工智慧 (AI) 在远距病人监护市场的应用：

根据国际癌症研究机构 (IARC) 2024 年提供的数据，2022 年全球报告了 2,000 万例新增癌症病例。据同一来源称，在报告的癌症病例中，肺癌在全球占 250 万例，是最常见的癌症。同样，乳癌占 230 万例，大肠癌占 190 万例，胃癌占 97 万例。

全球癌症观察站 (2024) 估计，到 2030 年，全球新增癌症病例数将从 2022 年的 2,000 万增加到 2,410 万人。报告显示，亚洲新增癌症病例数将达到 9,826,539 例，欧洲新增癌症病例数将达到 4,471,422 例，拉丁美洲和加勒比地区 (LAC) 新增癌症病例数将达到 1,551,060 例，非洲新增癌症病例数将达到 1,185,216 例。

全球癌症发生率的不断上升加速了对人工智慧远距患者监护的需求，以实现持续和个人化的护理。人工智慧远距患者监护可增强临床环境中的早期干预、治疗追踪和长期生存支持。

根据国际糖尿病联盟 (2022) 的数据，5.37 亿 20-79 岁的成年人患有糖尿病，约占全球人口的十分之一。预计到2030年，这一数字将增加至6.43亿，到2045年将达到7.83亿。值得注意的是，超过75%的成年糖尿病患者居住在中低收入国家。此外，5.41亿成年人患有糖耐量受损 (IGT)，这使他们患第2型糖尿病的风险更高。

因此，随着糖尿病和糖耐量受损病例的增加，远端患者监控对人工智慧 (AI) 的需求日益增长，持续追踪和早期干预对于有效的疾病管理至关重要。支援人工智慧的远端患者监测 (RPM) 设备可帮助临床医生监测血糖水平、及早发现併发症并制定个人化治疗方案。

此外，主要市场参与者持续的产品开发正在显着推动人工智慧远端患者监控 (RPM) 市场的成长。例如，2024年5月，DentalMonitoring® 的创新 DentalMonitoring 解决方案获得了美国食品药物管理局 (FDA) 的 de novo 批准。这款由人工智慧驱动的远端患者监控软体专为支援医疗专业人士而设计，可透过远端追踪牙科和正畸治疗、口腔健康和整体治疗进展。透过在传统临床环境之外实现持续的即时监控，该解决方案不仅可以改善患者护理和依从性，还有助于实现更有效率、个人化的治疗方案。

然而，在产品开发计划持续激增、全球对数位医疗基础设施投资不断增加以及对主动数据驱动型医疗保健日益重视的推动下，癌症、心血管疾病和生活方式相关疾病等慢性疾病的流行预计将在2025年至2032年的预测期内推动市场显着增长。

儘管人工智慧 (AI) 在远端患者监控市场中拥有巨大的成长潜力，但它仍面临着几大挑战。资料隐私和安全问题、严格的法规以及人工智慧 (AI) 整合的复杂性等挑战可能会在未来几年减缓成长。

远距病人监护中的人工智慧 (AI) 市场细分分析：

远距病人监护中的人工智慧 (AI) 市场：按产品类型（设备、软体、服务）、应用（癌症、心血管疾病、生活方式疾病等）、最终用户（医院和诊所、诊断中心、家庭医疗保健）和地区（北美、欧洲、亚太地区、世界其他地区）

在远距病人监护中的人工智慧 (AI) 市场的产品类型细分中，设备类别预计将在 2024 年占据最大的收入占有率。这种主导地位主要归功于整合人工智慧技术的可穿戴和互联医疗设备的广泛采用，这些设备能够在传统临床环境之外对患者进行持续的即时监护。

这些设备对于慢性病管理和预防医学至关重要，可提供及时的透过整合的人工智慧演算法分析数据并对潜在健康问题进行预警，为医疗服务提供者提供洞察。

支援人工智慧的远端监控设备具有先进的功能，例如持续追踪心率、血压、血氧饱和度 (SpO2)、心电图 (ECG) 等生命体征。

许多设备还提供直接无线资料传输到云端平台或医疗服务供应商，以确保及时的临床干预。其他功能包括患者参与工具，例如个人化健康回馈和用药提醒，以及与电子健康记录 (EHR) 系统和远距医疗平台的无缝集成，以提高工作流程效率。

这些设备主要应用于心血管监测（用于心律不整和心臟衰竭）、透过持续血糖监测进行糖尿病管理、慢性阻塞性肺病 (COPD) 等疾病的呼吸健康追踪、术后护理、医院的居家护理计划以及老年人跌倒检测和风险评估监测。

多家全球公司已在该领域推出了创新产品。 Apple Watch Series 9 提供心电图 (ECG)、血氧饱和度 (SpO2) 监测、心律不整警报等功能。 iRhythm 的 Zio Patch 提供人工智慧驱动的长期心电图监测，用于心律不整检测。其他值得关注的产品包括美敦力的 LINQ II(TM) 可植入心臟监视器。

这些进步凸显了人们对智慧医疗设备日益增长的依赖，它们已成为人工智慧远距病患监护的关键，也使这类设备成为未来几年市场成长的主要贡献者。

预计在 2025-2032 年预测期内，这种上升趋势将显着促进远距病患监护市场中人工智慧 (AI) 的整体扩张。

预计北美将在远距患者监护市场中占据主导地位：

预计在 2025-2032 年预测期内，北美将在远距患者监护市场中占据主导地位。该地区市场成长的关键推动因素包括癌症等慢性病负担的增加、强大的医疗基础设施、数位医疗技术的广泛普及以及政府的支持政策。此外，该地区还受益于数位医疗的大量投资以及穿戴式和连网医疗设备的广泛应用。

根据美国国家癌症研究所 (2024) 的数据，预计 2024 年美国将新增 200 万例癌症病例。此外，摄护腺癌、肺癌和大肠癌估计约占男性所有癌症诊断的 48%。对于女性而言，最常见的癌症是乳癌、肺癌和大肠癌，预计这些癌症将占所有新诊断癌症的约 51%。

根据全球癌症观察站 (2024) 的数据，到 2022 年，美国将占所有癌症患者的 89.1%，而加拿大将占 10.9%。

美国和加拿大癌症患者数量的不断增长推动了对持续家庭护理解决方案的需求。这推动了对远端患者监控中人工智慧 (AI) 的需求。远端患者监控有助于更有效地管理治疗、监测症状并改善医院外的患者预后。

此外，根据美国疾病管制与预防中心 (CDC, 2024) 的数据，美国每年平均有 80.5 万人患有心肌梗塞（心臟病）。此外，根据美国疾病管制与预防中心 (CDC) 于 2024 年 5 月发表的一篇论文，到 2022 年，美国约有 620 万成年人将心臟衰竭。

根据加拿大心血管协会 (2022) 报告，到 2022 年，2.5% 的人口将患有心臟病，而这一比例在 65 岁以后将显着增加，在 75 岁以后将达到 13%。此外，预计到 2040 年，加拿大将有 150 万名 65 岁及以上心臟病患者。

心臟相关疾病和相关风险因素的负担日益加重，推动了对持续高效监测解决方案的需求。基于人工智慧的远端患者监测支持心血管患者的早期发现、即时管理和个人化护理，有助于减少併发症并改善预后，尤其是在老龄化人口中。

综合起来，这些因素使北美拥有高度有利的市场成长环境，使其成为2025-2032年预测期内远距病患监护人工智慧 (AI) 市场的领先地区。

远距病患监护人工智慧 (AI) 市场的主要参与者

远距病患监护人工智慧 (AI) 市场的主要参与者包括Medtronic，iRhythm Inc.，Koninklijke Philips N.V.，Siemens Healthineers，GE HealthCare，Apple Inc.，alivecor Inc.，Biofourmis，Optum, Inc.，Headspace Health，Withings，NeuroRPM Inc.，Caretaker Medical，Implicity, Stryker，Biobeat等。

远端患者监护市场上人工智慧的最近的开发活动:

  • 2024 年 9 月，iRhythm Technologies 宣布其 zio(R) 心电图监护系统在日本获得监管部门批准，这是首款由人工智慧驱动的心律不整监护服务产品。
  • 2024 年 4 月，全球领先的医疗科技公司荷兰皇家飞利浦宣布建立策略合作伙伴关係，将 smartQare 的先进解决方案 viQtor 与飞利浦全球领先的床边病人监护平台相整合。此次合作旨在从欧洲开始，在医院内外实现下一代持续病人监护。

远距病人监护人工智慧 (AI) 市场研究报告的关键要点

  • 目前市场规模（2024 年）分析以及未来 8 年（2025-2032 年）人工智慧 (AI) 远距病人监护市场预测
  • 过去三年主要产品/服务开发、合併、收购、合作及合资企业
  • 在远距病人监护人工智慧 (AI) 市场中占据主导地位的关键公司
  • 远距病人监护人工智慧 (AI) 市场中其他竞争对手面临的各种机会
  • 2024 年的热门市场有哪些？这些细分市场在 2032 年的表现如何？
  • 在目前远距病人监护人工智慧 (AI) 市场中，哪些地区和国家表现最佳？
  • 企业应关注哪些地区和国家，以掌握未来远距病人监护人工智慧 (AI) 市场的成长机会？

谁能从这份远距病人监控人工智慧 (AI) 市场研究报告中受益？

  • 远距病人监护人工智慧 (AI) 供应商
  • 研究机构和顾问公司
  • 远距病人监护人工智慧 (AI) 相关组织、协会、论坛和其他联盟
  • 政府机构与企业
  • 新创公司、创投与私募股权公司
  • 从事远距病人监护人工智慧 (AI) 的经销商和贸易商
  • 希望进一步了解远距病人监护人工智慧 (AI) 市场及其最新发展的各类终端用户

目录

第1章 远端患者监护市场报告的人工智慧的简介

第2章 远端患者监护市场上人工智慧的摘要整理

第3章 竞争情形

第4章 法规分析

第5章 远端患者监护市场上人工智慧的主要原因分析

  • 推动市场要素
    • 慢性病盛行率上升
    • 数位健康投资不断增加
    • 全球产品开发活动不断增加
  • 市场限制与挑战
    • 资料隐私与安全问题
    • 人工智慧 (AI) 整合的严格监管和复杂性
  • 市场机遇
    • 人工智慧新创公司与医疗巨头之间的策略性业务合作伙伴关係
    • 与智慧家庭和物联网设备的集成

第6章 远端患者监护市场上人工智慧的波特的五力分析

第7章 远端患者监护市场上人工智慧的评估

  • 各产品类型
    • 设备
    • 软体
    • 服务
  • 各用途
    • 癌症
    • 心血管疾病
    • 文明病
    • 其他
  • 各终端用户
    • 医院和诊疗所
    • 诊断中心
    • 居家照护环境
  • 各地区
    • 北美
    • 欧洲
    • 亚太地区
    • 其他地区

第8章 远端患者监护市场上人工智慧的企业及产品简介

  • Medtronic
  • iRhythm Inc.
  • Koninklijke Philips N.V.
  • Siemens Healthineers
  • GE HealthCare
  • Apple Inc.
  • alivecor inc
  • Biofourmis
  • Optum, Inc.
  • Headspace Health
  • Withings
  • NeuroRPM Inc.
  • Caretaker Medical
  • Implicity
  • Stryker
  • Biobeat

第9章 KOL的见解

第10章 计划方法

第11章 关于调查公司

第12章 免责声明和咨询方式

Product Code: DIMDCL0866

Artificial Intelligence (AI) in Remote Patient Monitoring Market by Product Type (Devices, Software, and Services), Application (Cancer, Cardiovascular Disorder, Lifestyle Disorders, and Others), End-User (Hospitals and Clinics, Diagnostic Centers, and Homecare Setting), and Geography (North America, Europe, Asia-Pacific, and Rest of the World) is expected to grow at a substantial CAGR forecast till 2032 owing to the increasing prevalence of chronic disease and growing product developmental activities worldwide.

The Artificial Intelligence (AI) in remote patient monitoring market was valued at USD 1,926.51 million in 2024, growing at a CAGR of 27.13% during the forecast period from 2025 to 2032 to reach USD 13,126.80 million by 2032. The Artificial Intelligence (AI) in remote patient monitoring (RPM) market is experiencing robust growth, fueled by the rising cases of chronic conditions such as cancer, cardiovascular diseases, and lifestyle-related disorders. This growth is further supported by a surge in product development initiatives, increasing global investments in digital health infrastructure, and a growing emphasis on proactive, data-driven healthcare. These factors are expected to drive significant expansion of the AI-powered remote patient monitoring (RPM) market during the forecast period from 2025 to 2032.

Artificial Intelligence (AI) in Remote Patient Monitoring Market Dynamics:

According to data provided by the International Agency for Research on Cancer (IARC) in 2024, stated that 20 million new cancer cases were reported in 2022 globally. As per the same source, lung cancer accounted for 2.5 million cases globally, of all the reported cancer cases, making it the most common cancer. Similarly, breast cancer accounted for 2.3 million cases, colon cancer for 1.9 million cases, and stomach cancer for 0.97 million cases globally.

The Global Cancer Observatory (2024), estimated that the new cases of cancer globally were expected to reach from 20 million in 2022 to 24.1 million by 2030. It stated that Asia accounted for 9,826,539 cancer cases, Europe accounted for 4,471,422 cancer cases, Latin America and the Caribbean (LAC) accounted for 1,551,060 cancer cases, and Africa accounted for 1,185,216 cancer cases.

The rising global cancer burden is accelerating demand for AI-powered remote patient monitoring to enable continuous, personalized care. AI-powered remote patient monitoring enhances early intervention, treatment tracking, and long-term survival support in clinical settings.

According to data from the International Diabetes Federation (2022), 537 million adults aged 20-79 were living with diabetes, equating to about 1 in 10 individuals. This number is expected to increase to 643 million by 2030 and reach 783 million by 2045. Notably, over 75% of adults with diabetes reside in low- and middle-income countries. Additionally, 541 million adults have impaired glucose tolerance (IGT), putting them at elevated risk for developing type 2 diabetes.

Hence, rising cases of diabetes and impaired glucose tolerance are driving demand for Artificial Intelligence (AI) in remote patient monitoring, as continuous tracking and early intervention are essential for effective disease management. AI-enabled RPM devices help clinicians monitor glucose levels, detect complications early, and personalize treatment plans.

Additionally, ongoing product development by key market players is significantly driving the growth of the AI-powered remote patient monitoring (RPM) market. For instance, in May 2024, DentalMonitoring(R) received De Novo approval from the U.S. Food and Drug Administration (FDA) for its innovative DentalMonitoring solution. This AI-driven remote patient monitoring software is specifically designed to support healthcare professionals in remotely tracking dental and orthodontic treatments, oral health conditions, and overall treatment progress. By enabling continuous, real-time monitoring outside of traditional clinical settings, the solution not only enhances patient care and compliance but also contributes to more efficient, personalized treatment pathways.

Nevertheless, the interplay of high instances of chronic conditions including cancer, cardiovascular diseases, and lifestyle-related disorders is expected to propel the market significantly during the forecast period from 2025 to 2032, with continuous surge in product development initiatives, increasing global investments in digital health infrastructure, and a growing emphasis on proactive, data-driven healthcare.

Despite its strong growth potential, Artificial Intelligence (AI) in remote patient monitoring market faces a few major challenges. Challenges such as data privacy and security concerns, Stringent regulations, and complexities in Artificial Intelligence (AI) integration could slow down its growth in the coming years.

Artificial Intelligence (AI) in Remote Patient Monitoring Market Segment Analysis:

Artificial Intelligence (AI) in Remote Patient Monitoring Market by Product Type (Devices, Software, and Services), Application (Cancer, Cardiovascular Disorder, Lifestyle Disorders, and Others), End-User (Hospitals and Clinics, Diagnostic Centers, and Homecare Setting), and Geography (North America, Europe, Asia-Pacific, and Rest of the World)

In the product type segment of the Artificial Intelligence (AI) in remote patient monitoring market, the devices category is projected to hold the largest revenue share in 2024. This dominance is primarily driven by the widespread adoption of wearable and connected health devices integrated with artificial intelligence technology that enable continuous, real-time monitoring of patients outside traditional clinical settings.

These devices are essential in chronic disease management and preventive care, offering healthcare providers timely insights through integrated AI algorithms that analyze data and provide early warnings of potential health issues.

AI-enabled remote monitoring devices come equipped with advanced features such as continuous tracking of vital signs like heart rate, blood pressure, blood oxygen saturation (SpO2), and electrocardiograms (ECG).

Many devices also offer wireless data transmission to cloud platforms or directly to healthcare providers, ensuring timely clinical intervention. Additional functionalities include patient engagement tools, such as personalized health feedback and medication reminders, and seamless integration with electronic health record (EHR) systems and telehealth platforms, enhancing workflow efficiency.

These devices find key applications in cardiovascular monitoring (e.g., for arrhythmias and heart failure), diabetes management through continuous glucose monitoring, respiratory health tracking in conditions like COPD, post-operative care, hospital-at-home programs, and elderly monitoring for fall detection and risk assessment.

Several global companies launched innovative products in this space. Apple's Watch Series 9 offers features like ECG, SpO2 monitoring, and irregular heart rhythm alerts. iRhythm's Zio Patch provides long-term ECG monitoring powered by AI for arrhythmia detection. Other notable products include Medtronic's LINQ II(TM) insertable cardiac monitor, which provides long-term detection of abnormal heart rhythms.

These advancements highlight the increasing reliance on smart medical devices as a cornerstone of AI-powered remote patient monitoring, making the devices category a major contributor to market growth in the coming years.

This upward trend is expected to significantly contribute to the overall expansion of the Artificial Intelligence (AI) in remote patient monitoring market during the forecast period 2025 to 2032.

North America is expected to dominate the overall Artificial Intelligence (AI) in Remote Patient Monitoring market:

North America is anticipated to dominate the Artificial Intelligence (AI) in remote patient monitoring market during the forecast period 2025 to 2032. The growth of the market in the region is mainly attributed to several factors, including the rising burden of chronic diseases such as cancer, strong healthcare infrastructure, high adoption of digital health technologies, and supportive government policies. The region also benefits from major investments in digital health and the widespread use of wearable and connected medical devices.

As per the data from the National Cancer Institute (2024), it was estimated that 2 million new cases of cancer were diagnosed in the US in 2024. Furthermore, it was estimated that prostate, lung, and colorectal cancers are expected to represent approximately 48% of all cancer diagnoses in men. For women, the most prevalent cancers are breast, lung, and colorectal, which are expected to account for about 51% of all new cancer diagnoses.

According to Global Cancer Observatory's data (2024), in 2022, the US represented 89.1% of all cancer cases and Canada represented 10.9% of all cancer cases in the region.

The growing number of cancer cases in the U.S. and Canada is driving the need for continuous, at-home care solutions. This is boosting demand for Artificial Intelligence (AI) in Remote Patient Monitoring, as it helps manage treatment, monitor symptoms, and improve patient outcomes more efficiently outside hospital settings.

Further, the Centers for Disease Control and Prevention (CDC, 2024), it was stated that 805,000 people in the US have a myocardial infarction (heart attack) every year on average. Furthermore, According to an article published by the Centers for Disease Control and Prevention (CDC) in May 2024, approximately 6.2 million adults were suffering from heart failure in the United States in 2022.

According to the Canadian Cardiovascular Society (2022), it was reported that in 2022, 2.5% of the population had heart disease, which increased significantly after the age of 65, reaching up to 13% after the age of 75. It was also estimated by the same source that in 2040, Canada will have an estimated 1.5 million people over 65 years with heart disease.

The increasing burden of heart-related conditions and their associated risk factors is driving the need for continuous and efficient monitoring solutions. AI-powered remote patient monitoring supports early detection, real-time management, and personalized care for cardiovascular patients, helping to reduce complications and improve outcomes, especially in aging populations.

Collectively, these factors create a highly conducive environment for market growth, positioning North America as the leading region in the Artificial Intelligence (AI) in remote patient monitoring market throughout the forecast period from 2025 to 2032.

Artificial Intelligence (AI) in Remote Patient Monitoring Market key players:

Some of the key market players operating in the Artificial Intelligence (AI) in remote patient monitoring market include Medtronic, iRhythm Inc., Koninklijke Philips N.V., Siemens Healthineers, GE HealthCare, Apple Inc., alivecor Inc., Biofourmis, Optum, Inc., Headspace Health, Withings, NeuroRPM Inc., Caretaker Medical, Implicity, Stryker, Biobeat and others.

Recent Developmental Activities in the Artificial Intelligence (AI) in Remote Patient Monitoring Market:

  • In September 2024, iRhythm Technologies announced the Japanese regulatory approval of the zio(R) ECG monitoring system, the first product to deliver arrhythmia monitoring service utilizing artificial intelligence.
  • In April 2024, Royal Philips, a global leader in health technology, announced a strategic partnership to integrate smartQare's advanced solution, viQtor, with Philips' world-leading clinical patient monitoring platforms. This collaboration aims to enable the next generation of continuous patient monitoring both in and out of the hospital, starting in Europe.

Key Takeaways from the Artificial Intelligence (AI) in Remote Patient Monitoring Market Report Study

  • Market size analysis for current Artificial Intelligence (AI) in Remote Patient Monitoring market size (2024), and market forecast for 8 years (2025 to 2032)
  • Top key product/service developments, mergers, acquisitions, partnerships, and joint ventures happened over the last 3 years.
  • Key companies dominating the Artificial Intelligence (AI) in Remote Patient Monitoring market
  • Various opportunities available for the other competitors in the Artificial Intelligence (AI) in Remote Patient Monitoring market space
  • What are the top-performing segments in 2024? How these segments will perform in 2032?
  • Which are the top-performing regions and countries in the current Artificial Intelligence (AI) in Remote Patient Monitoring market scenario?
  • Which are the regions and countries where companies should have concentrated on opportunities for Artificial Intelligence (AI) in Remote Patient Monitoring market growth in the coming future?

Target audience who can be benefited from this Artificial Intelligence (AI) in Remote Patient Monitoring Market Report Study

  • Artificial Intelligence (AI) in Remote Patient Monitoring providers
  • Research organizations and consulting companies
  • Artificial Intelligence (AI) in Remote Patient Monitoring-related organizations, associations, forums, and other alliances
  • Government and corporate offices
  • Start-up companies, venture capitalists, and private equity firms
  • Distributors and traders dealing in Artificial Intelligence (AI) in Remote Patient Monitoring
  • Various end-users who want to know more about the Artificial Intelligence (AI) in Remote Patient Monitoring market and the latest developments in the Artificial Intelligence (AI) in Remote Patient Monitoring market

Frequently Asked Questions for the Artificial Intelligence (AI) in Remote Patient Monitoring Market:

1. What is Artificial Intelligence (AI) in Remote Patient Monitoring?

  • Artificial Intelligence (AI) in Remote Patient Monitoring (RPM) refers to the use of artificial intelligence to continuously collect, analyze, and interpret patient health data from connected devices outside of traditional clinical settings, enabling early detection, personalized care, and real-time decision support.

2. What is the market for Artificial Intelligence (AI) in Remote Patient Monitoring?

  • The Artificial Intelligence (AI) in remote patient monitoring market was valued at USD 1,926.51 million in 2024, growing at a CAGR of 27.13% during the forecast period from 2025 to 2032 to reach USD 13,126.80 million by 2032.

3. What are the drivers for Artificial Intelligence (AI) in Remote Patient Monitoring market?

  • The Artificial Intelligence (AI) in Remote Patient Monitoring (RPM) market is experiencing robust growth, fueled by the rising cases of chronic conditions such as cancer, cardiovascular diseases, and lifestyle-related disorders. This growth is further supported by a surge in product development initiatives, increasing global investments in digital health infrastructure, and a growing emphasis on proactive, data-driven healthcare. These factors are expected to drive significant expansion of the AI-powered RPM market during the forecast period from 2025 to 2032.

4. Who are the key players operating in the Artificial Intelligence (AI) in Remote Patient Monitoring market?

  • Some of the key market players operating in the Artificial Intelligence (AI) in remote patient monitoring market include Medtronic, iRhythm Inc., Koninklijke Philips N.V., Siemens Healthineers, GE HealthCare, Apple Inc., alivecor Inc., Biofourmis, Optum, Inc., Headspace Health, Withings, NeuroRPM Inc., Caretaker Medical, Implicity, Stryker, Biobeat and others.

5. Which region has the highest share in the Artificial Intelligence (AI) in Remote Patient Monitoring market?

  • North America is anticipated to dominate the Artificial Intelligence (AI) in Remote Patient Monitoring market during the forecast period 2025 to 2032. This regional leadership is attributed to several factors, including the rising burden of cancer prevalence, strong healthcare infrastructure, high adoption of advanced technologies, and supportive government policies. The region also benefits from major investments in digital health and widespread use of wearable and connected medical devices.

Table of Contents

1. Artificial Intelligence (AI) in Remote Patient Monitoring Market Report Introduction

  • 1.1. Scope of the Study
  • 1.2. Market Segmentation
  • 1.3. Market Assumption

2. Artificial Intelligence (AI) in Remote Patient Monitoring Market Executive Summary

  • 2.1. Market at Glance

3. Competitive Landscape

4. Regulatory Analysis

5. Artificial Intelligence (AI) in Remote Patient Monitoring Market Key Factors Analysis

  • 5.1. Artificial Intelligence (AI) in Remote Patient Monitoring Market Drivers
    • 5.1.1. Increasing prevalence of chronic diseases
    • 5.1.2. Growing investments in digital health
    • 5.1.3. Growing product developmental activities worldwide
  • 5.2. Artificial Intelligence (AI) in Remote Patient Monitoring Market Restraints and Challenges
    • 5.2.1. Data privacy and security concerns
    • 5.2.2. Stringent regulations and complexities in Artificial Intelligence (AI) integration
  • 5.3. Artificial Intelligence (AI) in Remote Patient Monitoring Market Opportunities
    • 5.3.1. Strategic business partnerships between AI startups and healthcare giants
    • 5.3.2. Integration with smart home and IOT devices

6. Artificial Intelligence (AI) in Remote Patient Monitoring Market Porter's Five Forces Analysis

  • 6.1. Bargaining Power of Suppliers
  • 6.2. Bargaining Power of Consumers
  • 6.3. Threat of New Entrants
  • 6.4. Threat of Substitutes
  • 6.5. Competitive Rivalry

7. Artificial Intelligence (AI) in Remote Patient Monitoring Market Assessment

  • 7.1. By Product Type
    • 7.1.1. Devices
    • 7.1.2. Softwares
    • 7.1.3. Services
  • 7.2. By Application
    • 7.2.1. Cancer
    • 7.2.2. Cardiovascular Disorder
    • 7.2.3. Lifestyle Disorders
    • 7.2.4. Others
  • 7.3. By End-User
    • 7.3.1. Hospitals and Clinics
    • 7.3.2. Diagnostic Centers
    • 7.3.3. Homecare Setting
  • 7.4. By Geography
    • 7.4.1. North America
      • 7.4.1.1. United States Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.1.2. Canada Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.1.3. Mexico Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
    • 7.4.2. Europe
      • 7.4.2.1. France Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.2.2. Germany Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.2.3. United Kingdom Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.2.4. Italy Artificial Intelligence (AI) in Remote Patient Monitoring market size in USD million (2022-2032)
      • 7.4.2.5. Spain Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.2.6. Rest of Europe Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
    • 7.4.3. Asia-Pacific
      • 7.4.3.1. China Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.3.2. Japan Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.3.3. India Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.3.4. Australia Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.3.5. South Korea Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.3.6. Rest of Asia-Pacific Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
    • 7.4.4. Rest of the World (RoW)
      • 7.4.4.1. Middle East Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.4.2. Africa Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)
      • 7.4.4.3. South America Artificial Intelligence (AI) in Remote Patient Monitoring Market Size in USD million (2022-2032)

8. Artificial Intelligence (AI) in Remote Patient Monitoring Market Company and Product Profiles

  • 8.1. Medtronic
    • 8.1.1. Company Overview
    • 8.1.2. Company Snapshot
    • 8.1.3. Financial Overview
    • 8.1.4. Product Listing
    • 8.1.5. Entropy
  • 8.2. iRhythm Inc.
    • 8.2.1. Company Overview
    • 8.2.2. Company Snapshot
    • 8.2.3. Financial Overview
    • 8.2.4. Product Listing
    • 8.2.5. Entropy
  • 8.3. Koninklijke Philips N.V.
    • 8.3.1. Company Overview
    • 8.3.2. Company Snapshot
    • 8.3.3. Financial Overview
    • 8.3.4. Product Listing
    • 8.3.5. Entropy
  • 8.4. Siemens Healthineers
    • 8.4.1. Company Overview
    • 8.4.2. Company Snapshot
    • 8.4.3. Financial Overview
    • 8.4.4. Product Listing
    • 8.4.5. Entropy
  • 8.5. GE HealthCare
    • 8.5.1. Company Overview
    • 8.5.2. Company Snapshot
    • 8.5.3. Financial Overview
    • 8.5.4. Product Listing
    • 8.5.5. Entropy
  • 8.6. Apple Inc.
    • 8.6.1. Company Overview
    • 8.6.2. Company Snapshot
    • 8.6.3. Financial Overview
    • 8.6.4. Product Listing
    • 8.6.5. Entropy
  • 8.7. alivecor inc
    • 8.7.1. Company Overview
    • 8.7.2. Company Snapshot
    • 8.7.3. Financial Overview
    • 8.7.4. Product Listing
    • 8.7.5. Entropy
  • 8.8. Biofourmis
    • 8.8.1. Company Overview
    • 8.8.2. Company Snapshot
    • 8.8.3. Financial Overview
    • 8.8.4. Product Listing
    • 8.8.5. Entropy
  • 8.9. Optum, Inc.
    • 8.9.1. Company Overview
    • 8.9.2. Company Snapshot
    • 8.9.3. Financial Overview
    • 8.9.4. Product Listing
    • 8.9.5. Entropy
  • 8.10. Headspace Health
    • 8.10.1. Company Overview
    • 8.10.2. Company Snapshot
    • 8.10.3. Financial Overview
    • 8.10.4. Product Listing
    • 8.10.5. Entropy
  • 8.11. Withings
    • 8.11.1. Company Overview
    • 8.11.2. Company Snapshot
    • 8.11.3. Financial Overview
    • 8.11.4. Product Listing
    • 8.11.5. Entropy
  • 8.12. NeuroRPM Inc.
    • 8.12.1. Company Overview
    • 8.12.2. Company Snapshot
    • 8.12.3. Financial Overview
    • 8.12.4. Product Listing
    • 8.12.5. Entropy
  • 8.13. Caretaker Medical
    • 8.13.1. Company Overview
    • 8.13.2. Company Snapshot
    • 8.13.3. Financial Overview
    • 8.13.4. Product Listing
    • 8.13.5. Entropy
  • 8.14. Implicity
    • 8.14.1. Company Overview
    • 8.14.2. Company Snapshot
    • 8.14.3. Financial Overview
    • 8.14.4. Product Listing
    • 8.14.5. Entropy
  • 8.15. Stryker
    • 8.15.1. Company Overview
    • 8.15.2. Company Snapshot
    • 8.15.3. Financial Overview
    • 8.15.4. Product Listing
    • 8.15.5. Entropy
  • 8.16. Biobeat
    • 8.16.1. Company Overview
    • 8.16.2. Company Snapshot
    • 8.16.3. Financial Overview
    • 8.16.4. Product Listing
    • 8.16.5. Entropy

9. KOL Views

10. Project Approach

11. About DelveInsight

12. Disclaimer & Contact Us

List of Tables

  • Table 1: Competitive Analysis
  • Table 2: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global (2022-2032)
  • Table 3: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by Product Type (2022-2032)
  • Table 4: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by Application (2022-2032)
  • Table 5: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by End-User (2022-2032)
  • Table 6: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by Geography (2022-2032)
  • Table 7: Artificial Intelligence (AI) in Remote Patient Monitoring Market in North America (2022-2032)
  • Table 8: Artificial Intelligence (AI) in Remote Patient Monitoring Market in the United States (2022-2032)
  • Table 9: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Canada (2022-2032)
  • Table 10: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Mexico (2022-2032)
  • Table 11: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Europe (2022-2032)
  • Table 12: Artificial Intelligence (AI) in Remote Patient Monitoring Market in France (2022-2032)
  • Table 13: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Germany (2022-2032)
  • Table 14: Artificial Intelligence (AI) in Remote Patient Monitoring Market in United Kingdom (2022-2032)
  • Table 15: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Italy (2022-2032)
  • Table 16: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Spain (2022-2032)
  • Table 17: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Rest of Europe (2022-2032)
  • Table 18: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Asia-Pacific (2022-2032)
  • Table 19: Artificial Intelligence (AI) in Remote Patient Monitoring Market in China (2022-2032)
  • Table 20: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Japan (2022-2032)
  • Table 21: Artificial Intelligence (AI) in Remote Patient Monitoring Market in India (2022-2032)
  • Table 22: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Australia (2022-2032)
  • Table 23: Artificial Intelligence (AI) in Remote Patient Monitoring Market in South Korea (2022-2032)
  • Table 24: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Rest of Asia-Pacific (2022-2032)
  • Table 25: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Rest of the World (2022-2032)
  • Table 26: Artificial Intelligence (AI) in Remote Patient Monitoring Market in the Middle East (2022-2032)
  • Table 27: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Africa (2022-2032)
  • Table 28: Artificial Intelligence (AI) in Remote Patient Monitoring Market in South America (2022-2032)

List of Figures

  • Figure 1: Competitive Analysis
  • Figure 2: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global (2022-2032)
  • Figure 3: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by Product Type (2022-2032)
  • Figure 4: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by Application (2022-2032)
  • Figure 5: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by End-User (2022-2032)
  • Figure 6: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Global by Geography (2022-2032)
  • Figure 7: Artificial Intelligence (AI) in Remote Patient Monitoring Market in North America (2022-2032)
  • Figure 8: Artificial Intelligence (AI) in Remote Patient Monitoring Market in the United States (2022-2032)
  • Figure 9: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Canada (2022-2032)
  • Figure 10: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Mexico (2022-2032)
  • Figure 11: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Europe (2022-2032)
  • Figure 12: Artificial Intelligence (AI) in Remote Patient Monitoring Market in France (2022-2032)
  • Figure 13: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Germany (2022-2032)
  • Figure 14: Artificial Intelligence (AI) in Remote Patient Monitoring Market in United Kingdom (2022-2032)
  • Figure 15: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Italy (2022-2032)
  • Figure 16: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Spain (2022-2032)
  • Figure 17: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Rest of Europe (2022-2032)
  • Figure 18: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Asia-Pacific (2022-2032)
  • Figure 19: Artificial Intelligence (AI) in Remote Patient Monitoring Market in China (2022-2032)
  • Figure 20: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Japan (2022-2032)
  • Figure 21: Artificial Intelligence (AI) in Remote Patient Monitoring Market in India (2022-2032)
  • Figure 22: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Australia (2022-2032)
  • Figure 23: Artificial Intelligence (AI) in Remote Patient Monitoring Market in South Korea (2022-2032)
  • Figure 24: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Rest of Asia-Pacific (2022-2032)
  • Figure 25: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Rest of the World (2022-2032)
  • Figure 26: Artificial Intelligence (AI) in Remote Patient Monitoring Market in the Middle East (2022-2032)
  • Figure 27: Artificial Intelligence (AI) in Remote Patient Monitoring Market in Africa (2022-2032)
  • Figure 28: Artificial Intelligence (AI) in Remote Patient Monitoring Market in South America (2022-2032)
  • Figure 29: Market Drivers
  • Figure 30: Market Barriers
  • Figure 31: Marker Opportunities
  • Figure 32: PORTER'S Five Force Analysis