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市場調查報告書
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1727077

遠端患者監護的人工智慧市場 - 市場洞察，競爭情形，市場預測: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個工作天內

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遠距病人監護市場中的人工智慧 (AI) 按產品類型（設備、軟體、服務）、應用領域（癌症、心血管疾病、生活方式疾病等）、最終用戶（醫院和診所、診斷中心、家庭醫療保健環境）和地區（北美、歐洲、亞太地區、世界其他地區）細分，預計到 2032 年，受慢性病患病率和全球產品增長率的增長，該市場增長，該市場將顯著增長和全球產品的複合市場增長，該市場將顯著增長，該市場開發年增長率和全球產品增長，該市場將顯著增長。

2024 年，遠距病人監護市場中的人工智慧 (AI) 規模為 19.2651 億美元。預計在 2025 年至 2032 年的預測期內，該市場的複合年增長率將達到 27.13%，到 2032 年將達到 131.268 億美元。遠距病人監護 (RPM) 市場中的人工智慧 (AI)由於癌症、心血管疾病和生活方式相關疾病等慢性病病例的增加，遠距病人監護 (RPM) 市場經歷了強勁增長。產品開發計劃的激增、全球對數位醫療基礎設施的投資不斷增加以及對主動數據驅動型醫療保健的日益重視，進一步推動了這一增長。預計這些因素將在 2025 年至 2032 年的預測期內推動人工智慧驅動的遠距病人監護 (RPM) 市場大幅擴張。

人工智慧 (AI) 在遠距病人監護市場的應用：

根據國際癌症研究機構 (IARC) 2024 年提供的數據，2022 年全球報告了 2,000 萬例新增癌症病例。據同一來源稱，在報告的癌症病例中，肺癌在全球佔 250 萬例，是最常見的癌症。同樣，乳癌佔 230 萬例，大腸癌佔 190 萬例，胃癌佔 97 萬例。

全球癌症觀察站 (2024) 估計，到 2030 年，全球新增癌症病例數將從 2022 年的 2,000 萬增加到 2,410 萬人。報告顯示，亞洲新增癌症病例數將達到 9,826,539 例，歐洲新增癌症病例數將達到 4,471,422 例，拉丁美洲和加勒比地區 (LAC) 新增癌症病例數將達到 1,551,060 例，非洲新增癌症病例數將達到 1,185,216 例。

全球癌症發生率的不斷上升加速了對人工智慧遠距患者監護的需求，以實現持續和個人化的護理。人工智慧遠距患者監護可增強臨床環境中的早期幹預、治療追蹤和長期生存支持。

根據國際糖尿病聯盟 (2022) 的數據，5.37 億 20-79 歲的成年人患有糖尿病，約佔全球人口的十分之一。預計到2030年，這一數字將增加至6.43億，到2045年將達到7.83億。值得注意的是，超過75%的成年糖尿病患者居住在中低收入國家。此外，5.41億成年人患有糖耐量受損 (IGT)，這使他們患第2型糖尿病的風險更高。

因此，隨著糖尿病和糖耐量受損病例的增加，遠端患者監控對人工智慧 (AI) 的需求日益增長，持續追蹤和早期幹預對於有效的疾病管理至關重要。支援人工智慧的遠端患者監測 (RPM) 設備可幫助臨床醫生監測血糖水平、及早發現併發症並制定個人化治療方案。

此外，主要市場參與者持續的產品開發正在顯著推動人工智慧遠端患者監控 (RPM) 市場的成長。例如，2024年5月，DentalMonitoring® 的創新 DentalMonitoring 解決方案獲得了美國食品藥物管理局 (FDA) 的 de novo 批准。這款由人工智慧驅動的遠端患者監控軟體專為支援醫療專業人士而設計，可透過遠端追蹤牙科和正畸治療、口腔健康和整體治療進展。透過在傳統臨床環境之外實現持續的即時監控，該解決方案不僅可以改善患者護理和依從性，還有助於實現更有效率、個人化的治療方案。

然而，在產品開發計劃持續激增、全球對數位醫療基礎設施投資不斷增加以及對主動數據驅動型醫療保健日益重視的推動下，癌症、心血管疾病和生活方式相關疾病等慢性疾病的流行預計將在2025年至2032年的預測期內推動市場顯著增長。

儘管人工智慧 (AI) 在遠端患者監控市場中擁有巨大的成長潛力，但它仍面臨著幾大挑戰。資料隱私和安全問題、嚴格的法規以及人工智慧 (AI) 整合的複雜性等挑戰可能會在未來幾年減緩成長。

遠距病人監護中的人工智慧 (AI) 市場細分分析：

遠距病人監護中的人工智慧 (AI) 市場：按產品類型（設備、軟體、服務）、應用（癌症、心血管疾病、生活方式疾病等）、最終用戶（醫院和診所、診斷中心、家庭醫療保健）和地區（北美、歐洲、亞太地區、世界其他地區）

在遠距病人監護中的人工智慧 (AI) 市場的產品類型細分中，設備類別預計將在 2024 年佔據最大的收入佔有率。這種主導地位主要歸功於整合人工智慧技術的可穿戴和互聯醫療設備的廣泛採用，這些設備能夠在傳統臨床環境之外對患者進行持續的即時監護。

這些設備對於慢性病管理和預防醫學至關重要，可提供及時的透過整合的人工智慧演算法分析數據並對潛在健康問題進行預警，為醫療服務提供者提供洞察。

支援人工智慧的遠端監控設備具有先進的功能，例如持續追蹤心率、血壓、血氧飽和度 (SpO2)、心電圖 (ECG) 等生命體徵。

許多設備還提供直接無線資料傳輸到雲端平台或醫療服務供應商，以確保及時的臨床幹預。其他功能包括患者參與工具，例如個人化健康回饋和用藥提醒，以及與電子健康記錄 (EHR) 系統和遠距醫療平台的無縫集成，以提高工作流程效率。

這些設備主要應用於心血管監測（用於心律不整和心臟衰竭）、透過持續血糖監測進行糖尿病管理、慢性阻塞性肺病 (COPD) 等疾病的呼吸健康追蹤、術後護理、醫院的居家護理計劃以及老年人跌倒檢測和風險評估監測。

多家全球公司已在該領域推出了創新產品。 Apple Watch Series 9 提供心電圖 (ECG)、血氧飽和度 (SpO2) 監測、心律不整警報等功能。 iRhythm 的 Zio Patch 提供人工智慧驅動的長期心電圖監測，用於心律不整檢測。其他值得關注的產品包括美敦力的 LINQ II(TM) 可植入心臟監視器。

這些進步凸顯了人們對智慧醫療設備日益增長的依賴，它們已成為人工智慧遠距病患監護的關鍵，也使這類設備成為未來幾年市場成長的主要貢獻者。

預計在 2025-2032 年預測期內，這種上升趨勢將顯著促進遠距病患監護市場中人工智慧 (AI) 的整體擴張。

預計北美將在遠距患者監護市場中佔據主導地位：

預計在 2025-2032 年預測期內，北美將在遠距患者監護市場中佔據主導地位。該地區市場成長的關鍵推動因素包括癌症等慢性病負擔的增加、強大的醫療基礎設施、數位醫療技術的廣泛普及以及政府的支持政策。此外，該地區還受益於數位醫療的大量投資以及穿戴式和連網醫療設備的廣泛應用。

根據美國國家癌症研究所 (2024) 的數據，預計 2024 年美國將新增 200 萬例癌症病例。此外，攝護腺癌、肺癌和大腸癌估計約佔男性所有癌症診斷的 48%。對於女性而言，最常見的癌症是乳癌、肺癌和大腸癌，預計這些癌症將佔所有新診斷癌症的約 51%。

根據全球癌症觀察站 (2024) 的數據，到 2022 年，美國將佔所有癌症患者的 89.1%，而加拿大將佔 10.9%。

美國和加拿大癌症患者數量的不斷增長推動了對持續家庭護理解決方案的需求。這推動了對遠端患者監控中人工智慧 (AI) 的需求。遠端患者監控有助於更有效地管理治療、監測症狀並改善醫院外的患者預後。

此外，根據美國疾病管制與預防中心 (CDC, 2024) 的數據，美國每年平均有 80.5 萬人患有心肌梗塞（心臟病）。此外，根據美國疾病管制與預防中心 (CDC) 於 2024 年 5 月發表的一篇論文，到 2022 年，美國約有 620 萬成年人將心臟衰竭。

根據加拿大心血管協會 (2022) 報告，到 2022 年，2.5% 的人口將患有心臟病，而這一比例在 65 歲以後將顯著增加，在 75 歲以後將達到 13%。此外，預計到 2040 年，加拿大將有 150 萬名 65 歲及以上心臟病患者。

心臟相關疾病和相關風險因素的負擔日益加重，推動了對持續高效監測解決方案的需求。基於人工智慧的遠端患者監測支持心血管患者的早期發現、即時管理和個人化護理，有助於減少併發症並改善預後，尤其是在老齡化人口中。

綜合起來，這些因素使北美擁有高度有利的市場成長環境，使其成為2025-2032年預測期內遠距病患監護人工智慧 (AI) 市場的領先地區。

遠距病患監護人工智慧 (AI) 市場的主要參與者

遠距病患監護人工智慧 (AI) 市場的主要參與者包括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。

遠端患者監護市場上人工智慧的最近的開發活動:

  • 2024 年 9 月，iRhythm Technologies 宣布其 zio(R) 心電圖監護系統在日本獲得監管部門批准，這是首款由人工智慧驅動的心律不整監護服務產品。
  • 2024 年 4 月，全球領先的醫療科技公司荷蘭皇家飛利浦宣佈建立策略合作夥伴關係，將 smartQare 的先進解決方案 viQtor 與飛利浦全球領先的床邊病人監護平台相整合。此次合作旨在從歐洲開始，在醫院內外實現下一代持續病人監護。

遠距病人監護人工智慧 (AI) 市場研究報告的關鍵要點

  • 目前市場規模（2024 年）分析以及未來 8 年（2025-2032 年）人工智慧 (AI) 遠距病人監護市場預測
  • 過去三年主要產品/服務開發、合併、收購、合作及合資企業
  • 在遠距病人監護人工智慧 (AI) 市場中佔據主導地位的關鍵公司
  • 遠距病人監護人工智慧 (AI) 市場中其他競爭對手面臨的各種機會
  • 2024 年的熱門市場有哪些？這些細分市場在 2032 年的表現如何？
  • 在目前遠距病人監護人工智慧 (AI) 市場中，哪些地區和國家表現最佳？
  • 企業應關注哪些地區和國家，以掌握未來遠距病人監護人工智慧 (AI) 市場的成長機會？

誰能從這份遠距病人監控人工智慧 (AI) 市場研究報告中受益？

  • 遠距病人監護人工智慧 (AI) 供應商
  • 研究機構和顧問公司
  • 遠距病人監護人工智慧 (AI) 相關組織、協會、論壇和其他聯盟
  • 政府機構與企業
  • 新創公司、創投與私募股權公司
  • 從事遠距病人監護人工智慧 (AI) 的經銷商和貿易商
  • 希望進一步了解遠距病人監護人工智慧 (AI) 市場及其最新發展的各類終端用戶

目錄

第1章 遠端患者監護市場報告的人工智慧的簡介

第2章 遠端患者監護市場上人工智慧的摘要整理

第3章 競爭情形

第4章 法規分析

第5章 遠端患者監護市場上人工智慧的主要原因分析

  • 推動市場要素
    • 慢性病盛行率上升
    • 數位健康投資不斷增加
    • 全球產品開發活動不斷增加
  • 市場限制與挑戰
    • 資料隱私與安全問題
    • 人工智慧 (AI) 整合的嚴格監管和複雜性
  • 市場機遇
    • 人工智慧新創公司與醫療巨頭之間的策略性業務合作夥伴關係
    • 與智慧家庭和物聯網設備的集成

第6章 遠端患者監護市場上人工智慧的波特的五力分析

第7章 遠端患者監護市場上人工智慧的評估

  • 各產品類型
    • 設備
    • 軟體
    • 服務
  • 各用途
    • 癌症
    • 心血管疾病
    • 文明病
    • 其他
  • 各終端用戶
    • 醫院和診療所
    • 診斷中心
    • 居家照護環境
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 其他地區

第8章 遠端患者監護市場上人工智慧的企業及產品簡介

  • 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的見解

第10章 計劃方法

第11章 關於調查公司

第12章 免責聲明和諮詢方式

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