세계의 원격 환자 모니터링 분야 AI 시장 : 컴포넌트별, 적응증별, 최종사용자별, 지역별 - 예측(-2030년)
AI in Remote Patient Monitoring Market by Component, Indication, End User, Region - Global Forecast to 2030
상품코드:1680999
리서치사:MarketsandMarkets
발행일:2025년 03월
페이지 정보:영문 324 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
원격 환자 모니터링 분야 AI 시장 규모는 2024년 19억 6,770만 달러에서 2030년 84억 3,850만 달러에 달할 것으로 예상되며, 예측 기간 동안 27.5%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예상됩니다.
이유혈류감염, 요로감염, 폐렴, C. difficile에 의한 감염 등 병원 내 감염(HAI)에 걸리는 사람이 증가하고 있습니다. 이러한 감염은 병원 내 심각한 건강 합병증 및 사망과 관련이 있기 때문에 위험을 예방하고 관리하기 위해 환자를 원격으로 모니터링하는 솔루션이 필요하게 되었습니다. 또한, 심혈관 질환, 비만, 당뇨병과 같은 만성 질환의 발병률이 증가함에 따라 효과적인 원격 모니터링 기술에 대한 수요가 증가하고 있습니다. 미국의 의료 비용은 크게 악화되고 있으며, 성인의 약 절반이 처방약과 의사 방문 비용에 어려움을 겪고 있습니다. 미국 CDC에 따르면, 입원 환자 31명 중 1명은 적어도 한 번 이상 의료 관련 감염에 걸렸다고 합니다. 예를 들어, University of Pittsburgh Medical Center는 RPM 장치가 병원 재입원을 76% 감소시켰습니다고 보고했습니다.
조사 범위
조사 대상 연도
2022-2030년
기준 연도
2023년
예측 기간
2024-2030년
검토 단위
금액(100만 달러)
부문
구성요소별, 적응증별, 최종사용자별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카
웨어러블 디바이스는 AI 지원 바이오센서, 스마트워치, 의료용 웨어러블의 수용 확대에 힘입어 2023년 원격 환자 모니터링 분야에서 가장 빠르게 성장하는 AI 시장이 될 것으로 예상됩니다. 이러한 기기들은 머신러닝, 딥러닝, 바이탈 사인의 지속적인 모니터링을 기반으로 잠재적인 건강 문제를 조기에 발견하고 예측적 통찰력을 제공하며, AI 기반 심전도 모니터링, 혈당 모니터링, 원격 의료를 가능하게 하는 웨어러블의 개발은 환자 참여와 만성질환 관리를 증가시킬 것으로 예상됩니다. 환자 참여와 만성질환 관리를 증가시킴으로써 성장을 더욱 뒷받침하고 있습니다. 예를 들어, 2024년 8월 Masimo의 W1 Medical Watch는 Masimo SafetyNet Telemonitoring System에 통합되어 실시간 건강 원격 모니터링을 위한 FDA 510(k) 승인을 받았습니다.
원격 환자 모니터링 분야 AI 시장은 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카의 5개 주요 지역으로 분류됩니다. 북미가 원격 환자 모니터링 시장을 지배하고 있는 이유는 몇 가지 요인이 있는데, 헬스케어 기술 채택률이 상당히 높고, 헬스케어 인프라가 탄탄하게 구축되어 있으며, 이러한 진전을 뒷받침하는 헬스케어 지출이 지속적으로 증가하고 있기 때문입니다. 또한, 2023년 현재 미국 식품의약국(FDA)의 평가를 거쳐 승인을 받은 의료용 AI 기기는 RPM 관련 의료기기를 포함하여 500개 이상에 달할 것으로 예상되며, 환자들의 만성질환 증가와 재택치료 솔루션에 대한 수요 증가도 이 지역 시장 성장을 가속할 것으로 보입니다.
세계의 원격 환자 모니터링 분야 AI 시장에 대해 조사했으며, 구성요소별/적응증별/최종사용자별/지역별 동향, 시장 진출기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 프리미엄 인사이트
제5장 시장 개요
서론
시장 역학
고객의 비즈니스에 영향을 미치는 동향/혼란
업계 동향
생태계 분석
밸류체인 분석
기술 분석
관세 및 규제 분석
무역 분석
가격 분석
Porter의 Five Forces 분석
주요 이해관계자와 구입 기준
특허 분석
미충족 요구와 최종사용자 기대
2025-2026년 주요 컨퍼런스 및 이벤트
사례 연구 분석
투자와 자금조달 시나리오
비즈니스 모델 분석
상환 시나리오 분석
제6장 원격 환자 모니터링 분야 AI 시장(컴포넌트별)
서론
디바이스
소프트웨어
서비스
제7장 원격 환자 모니터링 분야 AI 시장(적응증별)
서론
종양
심장병
신경질환
당뇨병
수면장애
호흡기질환
건강 증진
정신질환
기타
제8장 원격 환자 모니터링 분야 AI 시장(최종사용자별)
서론
의료기관
의료비 지불자
환자
제약회사 및 바이오테크놀러지 기업
의료 기술 기업
기타
제9장 원격 환자 모니터링 분야 AI 시장(지역별)
서론
북미
북미의 거시경제 전망
미국
캐나다
유럽
유럽의 거시경제 전망
독일
영국
프랑스
이탈리아
스페인
기타
아시아태평양
아시아태평양의 거시경제 전망
중국
일본
인도
기타
라틴아메리카
라틴아메리카의 거시경제 전망
브라질
멕시코
기타
중동 및 아프리카
중동 및 아프리카의 거시경제 전망
GCC 국가
기타
제10장 경쟁 구도
서론
주요 시장 진출기업의 전략/강점
매출 분석, 2019-2023년
시장 점유율 분석, 2023년
기업 평가 매트릭스 : 주요 시장 진출기업, 2023년
기업 평가 매트릭스 : 스타트업/중소기업, 2023년
기업 평가와 재무 지표
브랜드/소프트웨어 비교
경쟁 시나리오
제11장 기업 개요
주요 시장 진출기업
MEDTRONIC
KONINKLIJKE PHILIPS N.V.
GE HEALTHCARE
BOSTON SCIENTIFIC CORPORATION
OMRON HEALTHCARE, INC.
RESMED, INC.
NIHON KOHDEN CORPORATION
F. HOFFMANN-LA ROCHE LTD.(ROCHE DIAGNOSTICS)
IRHYTHM INC.
BEIJING CHOICE ELECTRONIC TECH CO., LTD.
BIOTRONIK
ALIVECOR, INC.
MASIMO
DEXCOM, INC.
BIOBEAT
TYTOCARE LTD.
ZETO INC.
GLOOKO, INC.
WELLDOC, INC.
TURTLE SHELL TECHNOLOGIES PVT. LTD.(DOZEE)
기타 기업
BIOINTELLISENSE, INC.
BLUE SPARK TECHNOLOGIES, INC.
ACCURKARDIA, INC.
AION BIOSYSTEMS, INC.
BROOK INC.
제12장 부록
LSH
영문 목차
영문목차
The AI in remote patient monitoring market is projected to reach USD 8,438.5 million by 2030 from USD 1,967.7 million in 2024, at a high CAGR of 27.5% during the forecast period. Reason for growth in the AI in remote patient monitoring market: More individuals are getting hospital-acquired infections (HAIs) such as bloodstream infections, urinary tract infections, pneumonia, and infections caused by C. difficile. These infections have been associated with critical health complications and death in hospitals, hence the solutions that monitor patients remotely have been necessary in the prevention and management of risks. Further, the incidence of chronic diseases such as cardiovascular diseases, obesity, and diabetes is rising, which in turn increases the demand for effective remote monitoring technologies. The cost of healthcare in the US has substantially deteriorated; almost half of US adults are struggling to afford prescription drugs and doctor visits. According to US CDC about 1 in 31 hospital patients has at least one healthcare-associated infection. For instance, the University of Pittsburgh Medical Center reported that RPM devices reduced hospital readmissions by 76%.
Scope of the Report
Years Considered for the Study
2022-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
Value (USD Million)
Segments
Component, Indication, and End-user and Region
Regions covered
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
"Wearable devices is the fastest growing segment in the AI in remote patient monitoring market by devices in 2023"
Wearable devices is expected to be the fastest-growing segment in the AI in remote patient monitoring market during 2023, due to the increasing acceptance of AI-enabled biosensors, smartwatches, and wearables for medical use. These devices are based on machine learning, deep learning, and continuous monitoring of vital signs, early detecting potential health issues, and supplying predictive insights. Other developments in AI-enabled ECG monitoring, glucose monitoring, and telehealth-enabling wearables are further supporting growth by increasing patient engagement and chronic disease management. For instance, in August 2024, Masimo's W1 Medical Watch received FDA 510(k) clearance to be incorporated into the Masimo SafetyNet Telemonitoring System for remote monitoring of health in real-time.
"North America dominated the remote patient monitoring market in 2023."
The AI in remote patient monitoring market is segmented into five major regional segments, namely, North America, Europe, Asia Pacific, Latin America, and Middle East and Africa. The North American region dominated the remote patient monitoring market because of several factors such as substantially high adoption rates of healthcare technologies, a robust and well-established infrastructure in healthcare, and constant growth in healthcare spending that supports such progress. In addition, the increasing trend in the chronic diseases patients suffer from and the increasing need for home healthcare solutions will also increase growth in this region's market. As of 2023, over 500 medical AI devices have undergone U.S. Food and Drug Administration (FDA) evaluation and received approval including RPM related medical devices.
The break-down of primary participants is as mentioned below:
By Company Type - Tier 1: 40%, Tier 2: 35%, and Tier 3: 25%
By Designation - C-level: 35%, Director-level: 40%, and Others: 25%
By Region - North America: 45%, Europe: 30%, Asia Pacific: 20%, Latin America: 3%, and Middle East & Africa: 2%.
Koninklijke Philips N.V. (Netherlands), Medtronic (Ireland), OMRON Healthcare, Inc. (Japan), GE HealthCare (US), Medtronic (Ireland), AliveCor, Inc. (US), NIHON KOHDEN CORPORATION (Japan), F. Hoffmann-La Roche Ltd (Roche Diagnostics) (Switzerland), Beijing Choice Electronic Tech Co. Ltd (US), Biobeat (Israel), Biotronik (Germany), and AccurKardia, Inc. (US) are some of the key players in the AI in remote patient monitoring market.
The study includes an in-depth competitive analysis of these key players in the AI in remote patient monitoring market, with their company profiles, recent developments, and key market strategies.
Research Coverage
This research report categorizes the AI in remote patient monitoring market by component (devices [wearable devices, implantable devices, handheld & portable devices, stationary devices]), software and services). By indication (oncology, cardiology, neurology, diabetes, sleep disorders, respiratory diseases, wellness improvement (weight management, fitness monitoring, hydration monitoring, nutritional tracking & monitoring, etc), mental health, and other indications (obstetrics, immunology, infectious diseases, ophthalmology, and others). By end user (healthcare providers [hospitals, ambulatory surgical centers, ambulatory care centers, and other outpatient settings, long term care & assisted living facilities, home healthcare, and other healthcare providers (diagnostics & imagining centers)], healthcare payers, patients, pharmaceutical & biotechnology companies, medTech companies, and other end users (employer groups, government organizations, academic institutes, research centers, and others)), and by region (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI in remote patient monitoring market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; partnerships, agreements. new product & service launches, regulatory approval, investment, fundings, mergers and acquisitions, and recent developments associated with the AI in remote patient monitoring market. Competitive analysis of upcoming startups in the AI in remote patient monitoring market ecosystem is covered in this report.
Reasons to buy this report:
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the AI in remote patient monitoring market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (growing telehealth and remote patient monitoring markets, rising prevalence of chronic diseases, growing adoption of mhealth apps, increased government support and favorable reimbursement policies, growing awareness about lifestyle management and home healthcare) restraints (regulatory variations across regions, shortage of skilled professionals to operate AI based tools, and data security concerns) opportunities (growing in the demand for personalized medicine, increase in the partnership and collaboration among healthcare providers and AI based companies, growing opportunities in emerging nations, hospital-at-home, and rising investment in AI based RPM solutions) challenges (issues related to accuracy due to scarcity of high quality healthcare data, reluctance among healthcare professionals to adopt AI in remote patient monitoring, and lack of interoperability)
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the AI in remote patient monitoring market
Market Development: Comprehensive information about lucrative markets - the report analyses the AI in remote patient monitoring market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in remote patient monitoring market
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as Koninklijke Philips N.V. (Netherlands), Medtronic (Ireland), OMRON Healthare, Inc. (Japan), GE HealthCare (US), Boston Scientific Corporation (US), F. Hoffmann-La Roche Ltd (Roche Diagnostics) (Switzerland), NIHON KOHDEN CORPORATION (Japan), and Biotronik (Germany); among others in the AI in remote patient monitoring market
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION & GEOGRAPHICAL SPREAD
1.3.2 INCLUSIONS & EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.3.4 CURRENCY CONSIDERED
1.4 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key sources of secondary data
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key sources of primary data
2.1.2.2 Objectives of primary research
2.1.2.3 Key data from primary sources
2.1.2.4 Key insights from primary experts
2.1.2.5 Breakdown of primary sources
2.2 MARKET SIZE ESTIMATION
2.2.1 SUPPLY-SIDE ANALYSIS
2.2.2 BOTTOM-UP APPROACH (END-USER ADOPTION)
2.2.3 TOP-DOWN APPROACH
2.2.4 COMPANY PRESENTATIONS AND PRIMARY INTERVIEWS
2.3 DATA TRIANGULATION
2.4 STUDY ASSUMPTIONS
2.4.1 MARKET SIZING ASSUMPTIONS
2.4.2 MARKET GROWTH ASSUMPTIONS
2.5 RISK ANALYSIS
2.6 RESEARCH LIMITATIONS
2.6.1 METHODOLOGY-RELATED LIMITATIONS
2.6.2 SCOPE-RELATED LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 AI IN REMOTE PATIENT MONITORING MARKET OVERVIEW
4.2 NORTH AMERICA: AI IN REMOTE PATIENT MONITORING MARKET, BY END USER AND REGION, 2023
4.3 AI IN REMOTE PATIENT MONITORING MARKET: GEOGRAPHIC SNAPSHOT
4.4 AI IN REMOTE PATIENT MONITORING MARKET: DEVELOPED VS. EMERGING MARKETS
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Expanding telehealth and remote patient monitoring markets
5.2.1.2 Increasing prevalence of chronic diseases
5.2.1.3 Focus on development and adoption of mHealth applications
5.2.1.4 Increased government support and favorable reimbursement policies
5.2.1.5 Growing awareness about lifestyle management and home healthcare
5.2.2 RESTRAINTS
5.2.2.1 Regulatory variations across regions
5.2.2.2 Shortage of skilled professionals to operate AI-based remote patient monitoring tools
5.2.2.3 Data security concerns
5.2.3 OPPORTUNITIES
5.2.3.1 Growing demand for personalized medicines and care plans
5.2.3.2 Increase in partnerships and collaborations among healthcare providers and AI-based companies
5.2.3.3 Growth opportunities in emerging economies
5.2.3.4 Rising investment in AI-based remote patient monitoring solutions
5.2.4 CHALLENGES
5.2.4.1 Scarcity of high-quality healthcare data and privacy concerns
5.2.4.2 Reluctance among healthcare professionals to adopt AI in remote patient monitoring devices
5.2.4.3 Lack of interoperability
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER'S BUSINESS
5.4 INDUSTRY TRENDS
5.4.1 SHIFT TO VALUE-BASED AND PATIENT-CENTRIC CARE
5.4.2 INNOVATIONS IN WEARABLE MEDICAL TECHNOLOGIES
5.5 ECOSYSTEM ANALYSIS
5.5.1 ROLE IN ECOSYSTEM
5.6 VALUE CHAIN ANALYSIS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Wearable devices and sensors
5.7.1.2 AI and ML
5.7.1.3 Predictive analytics
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 mHealth applications
5.7.2.2 Cloud computing
5.7.2.3 Digital health platforms
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Point-of-care diagnostics
5.7.3.2 Smart home health devices
5.8 TARIFF & REGULATORY ANALYSIS
5.8.1 TARIFF ANALYSIS
5.8.1.1 Tariff data for HS code 9018
5.8.1.2 Tariff data for HS code 9021
5.8.1.3 Tariff data for HS code 9022
5.8.2 REGULATORY FRAMEWORK
5.8.2.1 North America
5.8.2.2 Europe
5.8.2.3 Asia Pacific
5.8.2.4 Middle East & Africa
5.8.2.5 Latin America
5.8.3 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.9 TRADE ANALYSIS
5.9.1 TRADE ANALYSIS FOR HSN CODE 90189099
5.9.1.1 Import data for HSN code 90189099
5.9.1.2 Export data for HSN code 90189099
5.9.2 TRADE ANALYSIS FOR HSN CODE 9021
5.9.2.1 Import data for HSN code 9021
5.9.2.2 Export data for HSN code 9021
5.9.3 TRADE ANALYSIS FOR HSN CODE 9022
5.9.3.1 Import data for HSN code 9022
5.9.3.2 Export data for HSN code 9022
5.10 PRICING ANALYSIS
5.10.1 INDICATIVE PRICING FOR AI-BASED REMOTE PATIENT MONITORING DEVICES, BY KEY PLAYER, 2023
5.10.2 INDICATIVE PRICING FOR AI-BASED REMOTE PATIENT MONITORING DEVICES, BY REGION, 2023
5.11 PORTER'S FIVE FORCES ANALYSIS
5.11.1 INTENSITY OF COMPETITIVE RIVALRY
5.11.2 BARGAINING POWER OF BUYERS
5.11.3 THREAT OF SUBSTITUTES
5.11.4 THREAT OF NEW ENTRANTS
5.11.5 BARGAINING POWER OF SUPPLIERS
5.12 KEY STAKEHOLDERS & BUYING CRITERIA
5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.12.2 KEY BUYING CRITERIA
5.13 PATENT ANALYSIS
5.13.1 PATENT PUBLICATION TRENDS
5.13.2 JURISDICTION ANALYSIS: TOP APPLICANT COUNTRIES FOR AI-BASED REMOTE PATIENT MONITORING DEVICE PATENTS
5.13.3 TOP PATENT OWNERS/APPLICANTS IN AI IN REMOTE PATIENT MONITORING MARKET
5.13.4 LIST OF KEY PATENTS/PATENT APPLICATIONS
5.14 UNMET NEEDS & END-USER EXPECTATIONS
5.14.1 UNMET NEEDS
5.14.2 END-USER EXPECTATIONS
5.15 KEY CONFERENCES & EVENTS, 2025-2026
5.16 CASE STUDY ANALYSIS
5.16.1 ADOPTION OF MEDTRONIC LINQ II WITH ACCURHYTHM AI FOR REMOTE PATIENT MONITORING
5.16.2 ADOPTION OF ZETO EEG SOLUTIONS FOR NEUROLOGY AND EPILEPSY DIAGNOSIS
5.16.3 ADOPTION OF DOZEE AI-POWERED BALLISTOCARDIOGRAPHY TECHNOLOGY
5.17 INVESTMENT & FUNDING SCENARIO
5.18 BUSINESS MODEL ANALYSIS
5.18.1 SUBSCRIPTION-BASED MODELS
5.18.2 PLATFORM-AS-A-SERVICE MODELS
5.18.3 SERVICE-BASED MODELS
5.18.4 FREEMIUM MODELS
5.18.5 COLLABORATIVE ECOSYSTEM AND PARTNERSHIP MODELS
5.19 REIMBURSEMENT SCENARIO ANALYSIS
6 AI IN REMOTE PATIENT MONITORING MARKET, BY COMPONENT
6.1 INTRODUCTION
6.2 DEVICES
6.2.1 WEARABLE DEVICES
6.2.1.1 Rising adoption of consumer health technologies and growing trend toward preventive healthcare to drive segment
6.2.2 IMPLANTABLE DEVICES
6.2.2.1 Development of wireless communication technologies and advancements in medical devices to spur market adoption
6.2.3 HANDHELD & PORTABLE DEVICES
6.2.3.1 Rising consumer preference for home healthcare and self-monitoring to aid market growth
6.2.4 STATIONARY DEVICES
6.2.4.1 Reduced hospitalizations and improved patient outcomes through timely alerts to aid market growth
6.3 SOFTWARE
6.3.1 EFFECTIVE TRANSFORMATION OF RAW DATA TO PERSONALIZED INSIGHTS FOR PATIENTS TO AUGMENT MARKET GROWTH
6.4 SERVICES
6.4.1 INCREASING NEED FOR VALUE-BASED SPECIALIZED SERVICES TO BOOST MARKET GROWTH
7 AI IN REMOTE PATIENT MONITORING MARKET, BY INDICATION
7.1 INTRODUCTION
7.2 ONCOLOGY
7.2.1 NEED FOR IMPROVED SYMPTOM MONITORING AND PERSONALIZED TREATMENT PLANS TO DRIVE MARKET
7.3 CARDIOLOGY
7.3.1 INCREASING PREVALENCE OF CARDIOVASCULAR DISEASES TO FUEL MARKET GROWTH
7.4 NEUROLOGY
7.4.1 GROWING ADOPTION OF TELEMEDICINE AND RISING NEED FOR CONTINUOUS MONITORING TO AID MARKET GROWTH
7.5 DIABETES
7.5.1 HIGH ADOPTION OF AI-POWERED DEVICES FOR EFFECTIVE DIABETES MANAGEMENT TO PROPEL MARKET GROWTH