세계의 원격 환자 모니터링용 AI 시장 보고서(2025년)
Artificial Intelligence (AI) In Remote Patient Monitoring Global Market Report 2025
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리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

원격 환자 모니터링용 AI 시장 규모는 앞으로 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 23.5%를 나타내 64억 9,000만 달러로 성장할 전망입니다. 예측 기간의 성장은 세계적인 건강과제, 규제 당국의 지원, AI를 활용한 진단 용도의 지속적인 진전, 원격 의료의 채용, 예측 분석의 향후 개발 등에 기인할 것으로 예측됩니다. 예측 기간의 주요 동향에는 웨어러블 기술, ai 알고리즘 및 머신러닝 기술의 발전, 사이버 보안 및 데이터 프라이버시, 맞춤형 의료 및 치료 계획이 포함됩니다.

향후 5년간의 성장률 23.5%라고 하는 예측은 전회 예측으로부터 0.2%의 소폭의 감소를 반영하고 있습니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 관세장벽은 한국과 핀란드에서 조달한 인공지능(AI)을 탑재한 웨어러블 센서와 예측 분석 플랫폼의 비용을 상승시킴으로써 미국의 원격 의료 서비스를 저해하고, 만성 질환 관리 효과를 저하시키고, 원격 의료 프로그램 지출을 상승시킬 것으로 예측됩니다. 또한 상호관세와 무역의 긴장과 한계 증가로 인한 세계경제와 무역에 대한 악영향으로 인해 그 영향이 더욱 광범위해질 것으로 보입니다.

원격 의료의 높은 보급률은 향후 몇 년 동안 원격 환자 모니터링용 AI의 성장을 가속할 것으로 예측됩니다. 화상 통화, 전화, 온라인 메시징과 같은 통신 기술을 이용하는 원격 의료는 원격지에서 의료 서비스를 제공할 수 있습니다. 원격 환자 모니터링 시스템에 통합된 AI는 이 데이터를 실시간으로 분석하고 미묘한 변화를 감지하고 응급 상황이 발생하기 전에 잠재적인 문제를 의료 전문가에게 경고할 수 있습니다. 예를 들어 미국에 본사를 둔 비영리 단체인 록헬스가 2023년 2월에 실시한 조사에 따르면 응답자의 80%가 어느 시점에서 원격 의료 서비스를 이용했으며 2021년 72%에서 상승했습니다. 원격 의료의 도입이 진행됨에 따라 원격 환자 모니터링용 AI 수요가 증가하고 시장 성장을 더욱 촉진할 것으로 보입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

Artificial intelligence (AI) integrated into remote patient monitoring (RPM) involves the incorporation of AI technologies into systems designed to remotely monitor and manage patients' health. The utilization of AI aims to elevate the capabilities of remote monitoring solutions, offering advanced analytics, automation, and intelligent insights for healthcare professionals.

The primary solution categories in artificial intelligence (AI) for remote patient monitoring include software, hardware, and services. Software refers to programs and applications tailored for data analysis, pattern recognition, and decision support within AI-driven remote patient monitoring. In AI applications, software processes and interprets data obtained from remote patient monitoring devices, facilitating real-time analysis, anomaly detection, and personalized health insights. These products are classified into vital monitors, special monitors, and other products, integrated with technologies such as natural language processing, machine learning, querying methods, and speech recognition. These applications extend across various health domains, including diabetes, respiratory issues, weight management and fitness monitoring, cancer, dehydration, cardiovascular diseases, sleep disorders, viral infections, and other healthcare applications.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the healthcare sector, especially in the supply of essential medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are grappling with higher costs for imported surgical tools, imaging systems, and consumables like syringes and catheters, many of which have limited domestic substitutes. These escalating expenses are putting pressure on healthcare budgets, prompting some providers to delay equipment upgrades or pass increased costs on to patients. Furthermore, tariffs on raw materials and components are disrupting the manufacturing of vital drugs and devices, leading to supply chain delays. In response, the industry is adopting diversified sourcing strategies, expanding local production where feasible, and pushing for tariff exemptions on critical medical products.

The artificial intelligence (AI) for remote patient monitoring research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) for remote patient monitoring market statistics, including the artificial intelligence (AI) for remote patient monitoring industry's global market size, regional shares, competitors with an artificial intelligence (AI) for remote patient monitoring market share, detailed artificial intelligence (AI) for remote patient monitoring market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) for remote patient monitoring industry. This artificial intelligence (AI) for remote patient monitoring market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) in remote patient monitoring market size has grown exponentially in recent years. It will grow from $2.23 billion in 2024 to $2.79 billion in 2025 at a compound annual growth rate (CAGR) of 25.1%. The growth in the historic period can be attributed to Increased chronic disease rates, data security improvements, ai-driven applications that enhance patient engagement, integration with electronic health records (EHR), and need to reduce healthcare costs.

The artificial intelligence (AI) in remote patient monitoring market size is expected to see exponential growth in the next few years. It will grow to $6.49 billion in 2029 at a compound annual growth rate (CAGR) of 23.5%. The growth in the forecast period can be attributed to global health challenges, regulatory support, continued progress in AI-powered diagnostic applications, telehealth adoption, future developments in predictive analytics. Major trends in the forecast period include wearable technology, advances in ai algorithms and machine learning techniques, cybersecurity and data privacy, and personalized medicine and treatment plan.

The forecast of 23.5% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff barriers are expected to hamper U.S. telehealth services by increasing the cost of Artificial intelligence(AI)-powered wearable sensors and predictive analytics platforms sourced from South Korea and Finland, thereby reducing chronic disease management effectiveness and elevating remote care program expenditures. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The high adoption of telemedicine is expected to drive the growth of artificial intelligence (AI) in the remote patient monitoring market in the coming years. Telemedicine, which utilizes telecommunications technologies such as video calls, phone calls, and online messaging, enables the provision of medical services remotely. AI integrated into remote patient monitoring systems can analyze this data in real time, detecting subtle changes and alerting healthcare professionals about potential issues before they become emergencies. For example, in February 2023, a survey conducted by Rock Health, a US-based non-profit organization, found that 80% of respondents had used telemedicine services at some point, up from 72% in 2021. As telemedicine adoption continues to grow, the demand for AI in remote patient monitoring will increase, further driving market growth.

Leading enterprises within the artificial intelligence (AI) in remote patient monitoring realm are concentrating on the fusion of AI with wearable devices, exemplified by AI-powered ambulatory connected patient monitoring systems, to attain a competitive edge and enhance healthcare provision. An AI-powered ambulatory connected patient monitoring system integrates AI with ambulatory monitoring technology to continuously monitor and analyze a patient's vital signs and health metrics in real time. For instance, in October 2023, Dozee, an India-based medical equipment manufacturer, unveiled 'Dozee Pro Ex,' an innovative ambulatory connected patient monitoring system tailored for global markets. This solution features wireless wearable sensors for ongoing monitoring of vital parameters, including ECG rhythm, blood pressure, heart rate, oxygen saturation, respiration rate, and temperature. Noteworthy is its AI-powered early warning system, which scrutinizes vital parameter trends, issuing timely alerts for potential clinical deterioration. 'Dozee Pro Ex' aims to redefine conventional healthcare boundaries by enabling round-the-clock patient monitoring, whether patients are in hospital beds, mobile, at healthcare facilities, or within their homes.

In April 2024, Royal Philips, a Netherlands-based health technology company, entered into a partnership with SmartQare B.V. to enhance remote patient monitoring solutions. The collaboration aims to develop advanced technologies that improve patient outcomes and streamline healthcare delivery by integrating digital health solutions. SmartQare B.V., also based in the Netherlands, specializes in wearable health technology and remote patient monitoring services, focusing on enhancing healthcare delivery and patient engagement. This partnership will combine Royal Philips' expertise in healthcare technology with SmartQare's innovative solutions to further advance the remote patient monitoring market.

Major companies operating in the artificial intelligence (AI) in remote patient monitoring market report are Medtronic plc, Siemens Healthineers, Koninklijke Philips N.V., GE Healthcare, DexCom Inc, Cerner Corporation, Infosys BPM, Tunstall Healthcare, Connect America LLC, American Well, Biofourmis, Tempus, Merative L.P., Vivify Health, Clarify Health Solutions, Current Health, BioIntelliSense, Preventice Solutions, AiCure LLC, Orbita, MobileHelp, EarlySense, Gyant, Myia Labs, Sentrian, Biobeat, ChroniSense Medical Ltd., Somatix Inc., Twistle, HealthWatch Technologies

North America was the largest region in the artificial intelligence (AI) in remote patient monitoring market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai) in remote patient monitoring market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (ai) in remote patient monitoring market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The artificial intelligence (AI) in remote patient monitoring market consists of revenues earned by entities by providing services such as data transmission and connectivity, cloud-based storage and hosting, data integration and aggregation, predictive modeling, and clinical decision support. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in remote patient monitoring market also includes sales of wearable devices, remote monitoring platforms, and clinical communication tools. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) In Remote Patient Monitoring Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) in remote patient monitoring market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) in remote patient monitoring ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in remote patient monitoring market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) In Remote Patient Monitoring Market Characteristics

3. Artificial Intelligence (AI) In Remote Patient Monitoring Market Trends And Strategies

4. Artificial Intelligence (AI) In Remote Patient Monitoring Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) In Remote Patient Monitoring Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) In Remote Patient Monitoring Market Segmentation

7. Artificial Intelligence (AI) In Remote Patient Monitoring Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) In Remote Patient Monitoring Market

9. China Artificial Intelligence (AI) In Remote Patient Monitoring Market

10. India Artificial Intelligence (AI) In Remote Patient Monitoring Market

11. Japan Artificial Intelligence (AI) In Remote Patient Monitoring Market

12. Australia Artificial Intelligence (AI) In Remote Patient Monitoring Market

13. Indonesia Artificial Intelligence (AI) In Remote Patient Monitoring Market

14. South Korea Artificial Intelligence (AI) In Remote Patient Monitoring Market

15. Western Europe Artificial Intelligence (AI) In Remote Patient Monitoring Market

16. UK Artificial Intelligence (AI) In Remote Patient Monitoring Market

17. Germany Artificial Intelligence (AI) In Remote Patient Monitoring Market

18. France Artificial Intelligence (AI) In Remote Patient Monitoring Market

19. Italy Artificial Intelligence (AI) In Remote Patient Monitoring Market

20. Spain Artificial Intelligence (AI) In Remote Patient Monitoring Market

21. Eastern Europe Artificial Intelligence (AI) In Remote Patient Monitoring Market

22. Russia Artificial Intelligence (AI) In Remote Patient Monitoring Market

23. North America Artificial Intelligence (AI) In Remote Patient Monitoring Market

24. USA Artificial Intelligence (AI) In Remote Patient Monitoring Market

25. Canada Artificial Intelligence (AI) In Remote Patient Monitoring Market

26. South America Artificial Intelligence (AI) In Remote Patient Monitoring Market

27. Brazil Artificial Intelligence (AI) In Remote Patient Monitoring Market

28. Middle East Artificial Intelligence (AI) In Remote Patient Monitoring Market

29. Africa Artificial Intelligence (AI) In Remote Patient Monitoring Market

30. Artificial Intelligence (AI) In Remote Patient Monitoring Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) In Remote Patient Monitoring Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) In Remote Patient Monitoring Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Remote Patient Monitoring Market

34. Recent Developments In The Artificial Intelligence (AI) In Remote Patient Monitoring Market

35. Artificial Intelligence (AI) In Remote Patient Monitoring Market High Potential Countries, Segments and Strategies

36. Appendix

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