遠隔患者モニタリングにおける人工知能（AI）市場 - 市場の洞察、競合情勢、市場予測：2032年

遠隔患者モニタリングにおける人工知能（AI）市場は、製品タイプ別（デバイス、ソフトウェア、サービス）、用途別（がん、心血管疾患、生活習慣病、その他）、エンドユーザー別（病院・診療所、診断センター、在宅医療環境）、地域別（北米、欧州、アジア太平洋地域、その他の地域）に分類され、慢性疾患の有病率の上昇や世界の製品開発活動の活発化により、2032年まで大幅なCAGR予測で成長する見込みです。

遠隔患者モニタリングにおける人工知能（AI）の市場規模は、2024年に19億2,651万米ドルとなりました。同市場は、2025年から2032年までの予測期間中に27.13％のCAGRで拡大し、2032年には131億2,680万米ドルに達すると予測されています。遠隔患者モニタリング（RPM）における人工知能（AI）市場は、がん、心血管疾患、生活習慣病などの慢性疾患の症例数の増加によって力強い成長を遂げています。この成長は、製品開発イニシアチブの急増、デジタルヘルスインフラストラクチャへの世界の投資の増加、プロアクティブなデータ駆動型ヘルスケアの重視の高まりによってさらに支えられています。これらの要因によって、2025年から2032年までの予測期間中、AIを活用した遠隔患者モニタリング（RPM）市場の大幅な拡大が見込まれています。

遠隔患者モニタリングにおける人工知能（AI）市場力学：

国際がん研究機関（IARC）が2024年に提供したデータによると、2022年には世界で2,000万人の新規がん症例が報告されたと記載されています。同じ情報源によると、報告されたがん症例のうち、肺がんは世界で250万症例を占め、最も一般的ながんとなっています。同様に、乳がんは230万件、大腸がんは190万件、胃がんは97万件でした。

Global Cancer Observatory（2024）は、世界の新規がん患者数は2022年の2,000万人から2030年には2,410万人に達すると推定しています。それによると、アジアが982万6,539人、欧州が447万1,422人、ラテンアメリカ・カリブ海諸国（LAC）が155万1,060人、アフリカが118万5,216人でした。

世界のがん罹患率の増加は、継続的で個別化されたケアを可能にするAIを搭載した遠隔患者モニタリングの需要を加速させています。AIを活用した遠隔患者モニタリングは、臨床現場における早期介入、治療追跡、長期生存支援を強化します。

国際糖尿病連合（International Diabetes Federation）のデータ（2022年）によると、20～79歳の成人5億3,700万人が糖尿病を患っており、これは約10人に1人に相当します。この数は2030年には6億4,300万人に増加し、2045年には7億8,300万人に達すると予想されています。注目すべきは、成人の糖尿病患者の75％以上が低・中所得国に居住していることです。さらに、5億4,100万人の成人が耐糖能異常（IGT）を有しており、2型糖尿病の開発リスクが高くなっています。

したがって、糖尿病と耐糖能異常の症例が増加しており、効果的な疾病管理には継続的な追跡と早期介入が不可欠であるため、遠隔患者モニタリングにおける人工知能（AI）の需要が高まっています。AI対応RPM機器は、臨床医がグルコースレベルを監視し、合併症を早期に発見し、治療計画を個別化するのに役立ちます。

さらに、主な市場参入企業による継続的な製品開拓が、AIを活用した遠隔患者モニタリング（RPM）市場の成長を大きく後押ししています。例えば、2024年5月、DentalMonitoring（R）は革新的なDentalMonitoringソリューションで米国食品医薬品局（FDA）からデノボ承認を受けました。このAI主導の遠隔患者モニタリング・ソフトウェアは、歯科・矯正治療、口腔の健康状態、全体的な治療進捗状況を遠隔で追跡することで、ヘルスケア専門家をサポートするよう特別に設計されています。従来の臨床環境以外でも継続的なリアルタイムのモニタリングを可能にすることで、このソリューションは患者の治療とコンプライアンスを向上させるだけでなく、より効率的で個別化された治療経路にも貢献します。

とはいえ、がん、心血管疾患、生活習慣病などの慢性疾患が多く見られることから、製品開発イニシアティブの継続的な急増、デジタルヘルスインフラへの世界の投資の増加、先を見越したデータ主導のヘルスケア重視の高まりに伴い、2025年から2032年までの予測期間中に市場が大きく成長することが予想されます。

遠隔患者モニタリングにおける人工知能（AI）市場は、その大きな成長の可能性にもかかわらず、いくつかの大きな課題に直面しています。データプライバシーとセキュリティの懸念、厳しい規制、人工知能（AI）統合の複雑さなどの課題は、今後数年間の成長を鈍化させる可能性があります。

遠隔患者モニタリングにおける人工知能（AI）市場セグメント分析：

遠隔患者モニタリングにおける人工知能（AI）市場：製品タイプ（デバイス、ソフトウェア、サービス）、用途（がん、心血管疾患、生活習慣病、その他）、エンドユーザー（病院・診療所、診断センター、在宅医療）、地域（北米、欧州、アジア太平洋地域、その他の地域）別

遠隔患者モニタリングにおける人工知能（AI）市場の製品タイプセグメントでは、デバイスカテゴリが2024年に最大の収益シェアを占めると予測されています。この優位性は主に、従来の臨床環境外での患者の継続的なリアルタイムモニタリングを可能にする人工知能技術と統合されたウェアラブルおよびコネクテッドヘルスデバイスの広範な採用によるものです。

これらのデバイスは、慢性疾患管理と予防医療に不可欠であり、データを分析し、潜在的な健康問題の早期警告を提供する統合AIアルゴリズムを通じて、ヘルスケアプロバイダーにタイムリーな洞察を提供します。

AI対応の遠隔モニタリング・デバイスは、心拍数、血圧、血中酸素飽和度（SpO2）、心電図（ECG）などのバイタルサインの継続的な追跡などの高度な機能を備えています。

また、多くの機器は、クラウドプラットフォームやヘルスケアプロバイダーへの直接のワイヤレスデータ伝送を提供し、タイムリーな臨床介入を保証します。その他の機能としては、パーソナライズされた健康フィードバックや服薬リマインダーなどの患者エンゲージメント・ツールや、電子カルテ（EHR）システムや遠隔医療プラットフォームとのシームレスな統合があり、ワークフローの効率を高めています。

これらの機器は、不整脈や心不全などの心血管系モニタリング、持続的なグルコースモニタリングによる糖尿病管理、COPDなどの疾患における呼吸器系の健康追跡、術後ケア、病院での在宅プログラム、転倒検出やリスク評価のための高齢者モニタリングなどに主要な用途を見出しています。

この分野では、複数の世界企業が革新的な製品を発売しました。AppleのWatch Series 9は、ECG、SpO2モニタリング、不整脈アラートなどの機能を提供します。iRhythmのZio Patchは、不整脈検出のためのAIを搭載した長期ECGモニタリングを提供します。その他の注目すべき製品としては、メドトロニックのLINQ II（TM）挿入型心臓モニターがあります。

これらの進歩は、AIを活用した遠隔患者モニタリングの要としてスマート医療機器への依存が高まっていることを浮き彫りにしており、同機器カテゴリーが今後数年間の市場成長に大きく寄与するものとなっています。

このような上昇傾向は、2025年から2032年の予測期間中、遠隔患者モニタリングにおける人工知能（AI）市場全体の拡大に大きく寄与すると予想されます。

北米が遠隔患者モニタリングにおける人工知能（AI）市場全体を支配すると予想される：

北米は、2025年から2032年の予測期間中、遠隔患者モニタリングにおける人工知能（AI）市場を独占すると予測されます。同地域の市場成長の主な要因は、がんなどの慢性疾患の負担増、強固なヘルスケアインフラ、デジタルヘルス技術の高い採用率、政府の支援政策などです。同地域はまた、デジタルヘルスへの大規模な投資や、ウェアラブル医療機器やコネクテッド医療機器の普及からも恩恵を受けています。

米国国立がん研究所のデータ（2024年）によると、米国では2024年に200万人が新たにがんと診断されたと推定されています。さらに、前立腺がん、肺がん、大腸がんが、男性のがん診断全体の約48％を占めると推定されています。女性の場合、最も罹患率の高いがんは乳がん、肺がん、大腸がんで、新規のがん診断全体の約51％を占めると予想されています。

Global Cancer Observatoryのデータ（2024年）によると、2022年には米国が全がん患者の89.1％を、カナダが10.9％を占めています。

米国とカナダにおけるがん患者数の増加が、継続的な在宅ケアソリューションの必要性を高めています。これは、遠隔患者モニタリングにおける人工知能（AI）の需要を押し上げています。遠隔患者モニタリングは、治療管理、症状モニタリング、病院外での患者転帰の改善をより効率的に行うのに役立つからです。

さらに、米国疾病予防管理センター（CDC、2024年）によると、米国では毎年平均80万5,000人が心筋梗塞（心臓発作）を発症しています。さらに、米国疾病予防管理センター（CDC）が2024年5月に発表した論文によると、2022年には米国で約620万人の成人が心不全を患っています。

カナダ心臓血管学会（2022年）によると、2022年には人口の2.5％が心臓病を患っており、65歳を過ぎると大幅に増加し、75歳を過ぎると13％に達すると報告されています。また、2040年には、カナダでは65歳以上の心臓病患者が150万人に達すると推定されています。

心臓に関連する疾患とそれに関連する危険因子の負担の増加により、継続的かつ効率的なモニタリング・ソリューションの必要性が高まっています。AIを活用した遠隔患者モニタリングは、心血管患者の早期発見、リアルタイムの管理、個別ケアをサポートし、特に高齢化した集団における合併症の軽減と転帰の改善を支援します。

これらの要因を総合すると、北米は市場成長を非常に助長する環境となり、2025年から2032年までの予測期間を通じて、遠隔患者モニタリング市場における人工知能（AI）の主要地域と位置づけられます。

遠隔患者モニタリングにおける人工知能（AI）市場の主要企業

遠隔患者モニタリングにおける人工知能（AI）市場で事業を展開する主な市場参入企業には、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などがあります。

遠隔患者モニタリング市場における人工知能（AI）の最近の開発活動：

• 2024年9月、iRhythm Technologiesは、人工知能を活用した不整脈モニタリングサービスを提供する初の製品であるzio（R）ECGモニタリングシステムの日本での薬事承認を発表しました。
• 2024年4月、医療技術の世界的リーダーであるRoyal Philipsは、smartQareの先進ソリューションであるviQtorをフィリップスの世界最先端の臨床患者モニタリングプラットフォームと統合する戦略的パートナーシップを発表しました。この提携は、欧州を皮切りに、病院内外で次世代の継続的な患者モニタリングを可能にすることを目的としています。

遠隔患者モニタリングにおける人工知能（AI）市場調査報告書の主な要点

• 遠隔患者モニタリングにおける人工知能（AI）の現在の市場規模（2024年）と8年間（2025年から2032年）の市場予測に関する市場規模分析
• 過去3年間に起こった主な製品/サービス開発、合併、買収、提携、合弁事業
• 遠隔患者モニタリングにおける人工知能（AI）市場を独占する主要企業
• 遠隔患者モニタリングにおける人工知能（AI）市場の他の競合他社が利用できる様々な機会
• 2024年に上位を占めるセグメントは何か？2032年におけるこれらのセグメントの業績
• 現在の遠隔患者モニタリングにおける人工知能（AI）市場のシナリオで、上位の業績を上げている地域と国はどこか
• 今後の遠隔患者モニタリングにおける人工知能（AI）市場成長の機会に企業が集中すべき地域と国はどこか

この遠隔患者モニタリングにおける人工知能（AI）市場調査レポートから利益を得ることができる対象者

• 遠隔患者モニタリングにおける人工知能（AI）プロバイダー
• 調査機関およびコンサルティング会社
• 遠隔患者モニタリングにおける人工知能（AI）関連団体、協会、フォーラム、その他のアライアンス
• 政府機関および企業
• 新興会社、ベンチャーキャピタル、プライベートエクイティ会社
• 遠隔患者モニタリングにおける人工知能（AI）を取り扱う流通業者および貿易業者
• 遠隔患者モニタリングにおける人工知能（AI）市場と遠隔患者モニタリングにおける人工知能（AI）市場の最新開拓についてもっと知りたい様々なエンドユーザー

目次

第1章 遠隔患者モニタリング市場レポートにおける人工知能（AI）のイントロダクション

第2章 遠隔患者モニタリング市場における人工知能（AI）のエグゼクティブサマリー

第3章 競合情勢

第4章 規制分析

第5章 遠隔患者モニタリング市場における人工知能（AI）の主な要因分析

• 市場促進要因
  • 慢性疾患の有病率の上昇
  • デジタルヘルスへの投資拡大
  • 世界中で製品開発活動を拡大
• 市場抑制要因と課題
  • データのプライバシーとセキュリティに関する懸念
  • 人工知能（AI）統合における厳格な規制と複雑さ
• 市場の機会
  • AIスタートアップとヘルスケア大手の戦略的ビジネスパートナーシップ
  • スマートホームおよびIoTデバイスとの統合

第6章 遠隔患者モニタリング市場における人工知能（AI）のポーターのファイブフォース分析

第7章 遠隔患者モニタリング市場における人工知能（AI）の評価

• 製品タイプ別
  • デバイス
  • ソフトウェア
  • サービス
• 用途別
  • がん
  • 心血管疾患
  • 生活習慣病
  • その他
• エンドユーザー別
  • 病院と診療所
  • 診断センター
  • 在宅ケア環境
• 地域別
  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第8章 遠隔患者モニタリング市場における人工知能（AI）の企業および製品プロファイル

• 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の見解

第10章 プロジェクトアプローチ

第11章 調査会社について

第12章 免責事項とお問い合わせ

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

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