세계의 홈 헬스케어 분야 AI 시장 : 시장 규모, 점유율, 동향 분석 - 제공, 기술, 용도, 최종사용자, 지역별 전망 및 예측(2024-2031년)
Global AI in Home Healthcare Market Size, Share & Trends Analysis Report By Offering, By Technology, By Application, By End User (Healthcare Providers, Healthcare Payers, Patients, and Others), By Regional Outlook and Forecast, 2024 - 2031
상품코드:1484186
리서치사:KBV Research
발행일:2024년 04월
페이지 정보:영문 356 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계 홈 헬스케어 분야 AI 시장 규모는 예측 기간 동안 CAGR 53.2%로 성장하여 2031년까지 361억 달러에 달할 것으로 예상됩니다.
KBV Cardinal matrix에 제시된 분석에 따르면 F. Hoffmann-La Roche Ltd.는 2024년2월F. Hoffmann-La Roche Ltd.는 미국에 본사를 둔 생명 공학 회사 인 PathAI와 제휴했습니다. 이 제휴를 통해 Roche는 RTD의 동반 진단 부문을 위해 AI를 활용한 디지털 병리학 알고리즘을 만들 것이며, Medtronic PLC, Siemens Healthineers AG, GE HealthCare Technologies, Inc, 등의 기업이 시장의 주요 혁신 기업 중 일부입니다.
COVID-19의 영향 분석
코로나19의 가장 큰 영향 중 하나는 바이러스에 대한 노출을 최소화하면서 진료의 연속성을 보장하기 위해 원격 진료 및 원격 모니터링 솔루션에 대한 의존도가 높아졌습니다는 점입니다. 원격으로 환자를 모니터링하고 원격으로 개별화된 진료를 제공할 수 있게 되었습니다. 따라서 코로나19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.
시장 성장 요인
AI 알고리즘은 이미지, 환자 기록, 유전자 정보 등 복잡한 의료 데이터를 전례 없는 속도와 정확도로 분석할 수 있습니다. 이를 통해 재택치료기기는 보다 정확한 진단을 제공하여 적시에 개입하고 치료 결과를 개선할 수 있습니다. 따라서 이러한 측면은 시장에 유리한 성장 전망을 제공합니다.
또한 웨어러블 센서는 심박수, 혈압, 혈당, 활동량 등 생리적 파라미터를 지속적으로 모니터링할 수 있습니다. 이러한 실시간 모니터링을 통해 환자는 자신의 건강 상태를 지속적으로 추적할 수 있고, 건강 상태에 대한 귀중한 통찰력을 얻을 수 있으며, 이상이나 건강 문제를 조기에 발견할 수 있습니다. 따라서 이러한 요인으로 인해 재택치료 분야에서 AI에 대한 수요가 증가할 것입니다.
시장 성장 억제요인
재택치료 환경에서 다양한 플랫폼과 기술 간의 상호운용성을 확보하는 것은 간병인 간의 원활한 데이터 교환과 협업을 촉진하는 데 필수적입니다. 재택치료 환경에는 다양한 EHR 시스템, 의료기기, AI 솔루션이 포함되는 경우가 많으며, 각기 다른 데이터 형식, 프로토콜, 표준을 가지고 있습니다. 따라서 이러한 측면이 시장 성장을 저해할 수 있습니다.
제공 전망
제공을 기준으로 홈 헬스케어 AI 시장은 소프트웨어, 하드웨어, 서비스로 분류되며, 2023년 하드웨어 부문이 홈 헬스케어 AI 시장에서 30.5%의 큰 매출 점유율을 차지할 것으로 예상됩니다. 하드웨어 부문에는 웨어러블, 센서, 스마트 모니터, AI 기능을 갖춘 홈 헬스케어 키트가 포함됩니다.
기술 전망
기술에 따라 재택치료 AI 시장은 머신러닝, 자연어 처리, 상황 인식 컴퓨팅, 컴퓨터 비전으로 나뉩니다. 머신러닝 부문은 2023년 홈 헬스케어 AI 시장에서 42%의 매출 점유율을 기록할 것으로 예상됩니다. 머신러닝 알고리즘은 재택치료에 사용되는 웨어러블 기기, 센서 및 기타 원격 모니터링 장치에서 나오는 실시간 데이터를 분석할 수 있습니다.
용도 전망
용도에 따라 홈 헬스케어 AI 시장은 환자 데이터 및 위험 분석, 라이프스타일 관리 및 원격 환자 모니터링, 가상 비서, 웨어러블, 정신 건강 등으로 나뉩니다. 가상 비서 부문은 2023년 재택치료 AI 시장에서 유망한 성장률을 보였으며, AI 기술과 통합된 가상 비서는 환자의 활력 징후, 약물 순응도 및 전반적인 건강 상태를 원격으로 모니터링할 수 있습니다.
최종 사용자 전망
최종 사용자에 따라 시장은 의료 제공업체, 의료 보험사, 환자, 기타로 나뉩니다. 의료 제공업체 부문은 2023년 시장에서 45.2%의 매출 점유율을 기록했으며, AI 알고리즘은 대량의 환자 데이터를 분석하여 개별 환자의 요구와 선호도에 맞는 개인화된 치료 계획을 수립할 수 있습니다.
지역 전망
지역별로 보면 시장은 북미, 유럽, 아시아태평양, LAMEA로 구분됩니다. 북미 부문은 2023년 시장에서 42%의 매출 점유율을 차지했습니다. 북미, 특히 미국은 기술 혁신과 개발의 중심지입니다.
재택의료 AI 시장 경쟁은 치열하며, F. Hoffmann-La Roche Ltd.와 같은 대형 기술기업과 스타트업이 주도하고 있습니다. 기존 헬스케어 IT 기업들도 AI를 도입한 의료 서비스 제공업체 및 보험사들과 함께 주도권을 잡기 위해 경쟁하고 있습니다. 규제적 장애물이 상황을 형성하고 있습니다. 혁신, 협업, 규제 준수가 재택치료에 혁명을 일으키려는 역동적인 생태계를 정의합니다.
목차
제1장 시장 범위와 조사 방법
시장의 정의
목적
시장 범위
세분화
조사 방법
제2장 시장 요람
주요 하이라이트
제3장 시장 개요
서론
개요
시장 구성과 시나리오
시장에 영향을 미치는 주요 요인
시장 성장 촉진요인
시장 성장 억제요인
시장 기회
시장이 해결해야 할 과제
제4장 경쟁 분석 - 세계
KBV Cardinal Matrix
최근 산업 전체의 전략적 전개
파트너십/협업/계약
제품 발매와 제품 확대
인수와 합병
시장 점유율 분석, 2023년
주요 성공 전략
주요 전략
주요 전략적 동향
Porter의 Five Forces 분석
제5장 세계의 홈 헬스케어 분야 AI 시장 : 제공별
세계의 소프트웨어 시장 : 지역별
세계의 홈 헬스케어 분야 AI 시장 : 소프트웨어 유형별
세계의 하드웨어 시장 : 지역별
세계의 서비스 시장 : 지역별
제6장 세계의 홈 헬스케어 분야 AI 시장 : 기술별
세계의 머신러닝 시장 : 지역별
세계의 자연언어처리 시장 : 지역별
세계의 상황인식 컴퓨팅 시장 : 지역별
세계의 컴퓨터 비전 시장 : 지역별
제7장 세계의 홈 헬스케어 분야 AI 시장 : 용도별
세계의 라이프스타일 관리 및 원격 환자 모니터링 시장 : 지역별
세계의 환자 데이터 및 리스크 분석 시장 : 지역별
세계의 가상 비서 시장 : 지역별
세계의 웨어러블 시장 : 지역별
세계의 정신건강 시장 : 지역별
세계의 기타 시장 : 지역별
제8장 세계의 홈 헬스케어 분야 AI 시장 : 최종사용자별
세계의 의료 제공자 시장 : 지역별
세계의 의료비 지불자 시장 : 지역별
세계의 환자 시장 : 지역별
세계의 기타 시장 : 지역별
제9장 세계의 홈 헬스케어 분야 AI 시장 : 지역별
북미
북미 시장 : 국가별
미국
캐나다
멕시코
기타 북미
유럽
유럽 시장 : 국가별
독일
영국
프랑스
러시아
스페인
이탈리아
기타 유럽
아시아태평양
아시아태평양 시장 : 국가별
중국
일본
인도
한국
호주
말레이시아
기타 아시아태평양
라틴아메리카/중동 및 아프리카
라틴아메리카/중동 및 아프리카 시장 : 국가별
브라질
아르헨티나
아랍에미리트(UAE)
사우디아라비아
남아프리카공화국
나이지리아
기타 라틴아메리카/중동 및 아프리카
제10장 기업 개요
Siemens Healthineers AG(Siemens AG)
F Hoffmann-La Roche Ltd.
GE HealthCare Technologies, Inc
Oracle Corporation(Cerner Corporation)
Koninklijke Philips NV
Merative LP.(Francisco Partners)
Medtronic PLC
Sensely, Inc
CarePredict Inc
Qventus Inc
제11장 홈 헬스케어 분야 AI의 성공 필수 조건
LSH
영문 목차
영문목차
The Global AI in Home Healthcare Market size is expected to reach $36.1 billion by 2031, rising at a market growth of 53.2% CAGR during the forecast period.
AI technologies, including machine learning and natural language processing, are becoming more sophisticated, enabling better analysis of patient data. Thus, the patient data and risk analysis segment acquired $245.3 million revenue in 2023. These advancements allow healthcare providers to extract valuable insights from patient data collected at home, leading to more accurate risk assessments and personalized care plans. Thus, these aspects will assist in the expansion of the segment.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In, March 2024, GE HealthCare Technologies, Inc. came into partnership with Mass General Brigham. Through this partnership, GE HealthCare would incorporate foundational models for medical imaging into their AI research endeavors, emphasizing a robust commitment to responsible AI principles. Additionally, In, December 2023, Medtronic PLC came into partnership with Cosmo Intelligent Medical Devices. Through this partnership, Medtronic would revolutionize the field of endoscopy through the utilization of AI, aiming to enhance patient outcomes.
Based on the Analysis presented in the KBV Cardinal matrix; F. Hoffmann-La Roche Ltd. is the forerunners in the Market. In February 2024, F. Hoffmann-La Roche Ltd. came into partnership with PathAI, a US-based biotechnology company. Through this partnership, Roche would create AI-powered digital pathology algorithms for RTD's companion diagnostics division. Companies such as Medtronic PLC, Siemens Healthineers AG, and GE HealthCare Technologies, Inc. are some of the key innovators in Market.
COVID-19 Impact Analysis
One significant impact of COVID-19 was the increased reliance on telehealth and remote monitoring solutions to ensure continuity of care while minimizing exposure to the virus. AI-driven telehealth platforms enabled healthcare providers to conduct virtual consultations, monitor patients remotely, and deliver personalized care from a distance. Hence, the COVID-19 pandemic positively impacted the market.
Market Growth Factors
AI algorithms can analyze complex medical data, including images, patient records, and genetic information, with unprecedented speed and accuracy. This enables home healthcare devices to provide more accurate diagnoses, leading to timely interventions and improved treatment outcomes. Therefore, these aspects will pose lucrative growth prospects for the market.
Additionally, Wearable sensors can continuously monitor physiological parameters such as heart rate, blood pressure, blood glucose, and activity levels. This real-time monitoring enables patients to track their health status continuously, providing valuable insights into their well-being and allowing for early detection of any abnormalities or health issues. Hence, owing to these factors, there will be enhanced demand for AI in home healthcare.
Market Restraining Factors
Achieving interoperability among diverse platforms and technologies in home healthcare settings is crucial for facilitating seamless data exchange and collaboration among caregivers. Home healthcare environments often involve various EHR systems, medical devices, and AI solutions, each with data formats, protocols, and standards. Thus, these aspects can hamper the growth of the market.
Offering Outlook
Based on offering, the AI in home healthcare market is segmented into software, hardware, and services. In 2023, the hardware segment garnered a 30.5% significant revenue share in the AI in home healthcare market. The hardware segment includes wearables, sensors, smart monitors, and home healthcare kits with AI capabilities.
Technology Outlook
On the basis of technology, the AI in home healthcare market is divided into machine learning, natural language processing, context-aware computing, and computer vision. The machine learning segment recorded a 42% revenue share in the AI in home healthcare market in 2023. Machine learning algorithms can analyze real-time data from wearable devices, sensors, and other remote monitoring devices used in home healthcare.
Application Outlook
Based on application, the AI in home healthcare market is divided into patient data & risk analysis, lifestyle management & remote patient monitoring, virtual assistants, wearables, mental health, and others. The virtual assistants segment procured a promising growth rate in the AI in home healthcare market in 2023. Virtual assistants integrated with AI technology can remotely monitor patients' vital signs, medication adherence, and overall health status.
End User Outlook
On the basis of end user, the market is divided into healthcare providers, healthcare payers, patients, and others. The healthcare providers segment recorded a 45.2% revenue share in the market in 2023. AI algorithms can analyze large volumes of patient data to generate personalized treatment plans tailored to individual patient's needs and preferences.
Regional Outlook
By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured a 42% revenue share in the market in 2023. North America, particularly the United States, is a technological innovation and development hub.
Competition in the AI in home healthcare market is fierce, driven by major tech firms like F. Hoffmann-La Roche Ltd. and startups. Established healthcare IT companies also vie for dominance, alongside providers and insurers embracing AI. Regulatory hurdles shape the landscape. Innovation, collaboration, and regulatory navigation define the dynamic ecosystem seeking to revolutionize home healthcare.
Recent Strategies Deployed in the Market
Mar-2024: GE HealthCare Technologies, Inc. came into partnership with Mass General Brigham, a US-based hospital and healthcare. Through this partnership, GE HealthCare would incorporate foundational models for medical imaging into their AI research endeavors, emphasizing a robust commitment to responsible AI principles. Additionally, this initiative aims to enhance healthcare delivery by improving efficiency for practitioners, increasing accessibility for patients, and promoting equity across diverse communities.
Feb-2024: F. Hoffmann-La Roche Ltd. came into partnership with PathAI, a US-based biotechnology company. Through this partnership, Roche would create AI-powered digital pathology algorithms for RTD's companion diagnostics division.
Jan-2024: GE HealthCare Technologies, Inc. took over MIM Software Inc., a US-based software development company. Through this acquisition, GE healthcare would incorporate medical imaging products to provide more accurate, interconnected, and streamlined care across various disease conditions.
Dec-2023: Medtronic PLC came into partnership with Cosmo Intelligent Medical Devices, a subsidiary of Cosmo Pharmaceuticals. Through this partnership, Medtronic would revolutionize the field of endoscopy through the utilization of AI, aiming to enhance patient outcomes. Additionally, this strategic partnership strengthens Medtronic's standing in AI-integrated healthcare solutions and marks a substantial advancement in integrating AI into endoscopic treatment.
Oct-2023: Siemens Healthineers AG came into partnership with The Global Fund to Fight AIDS, an international financing and partnership organization. Through this partnership, Siemens Healthineers company would accelerate the integration of artificial intelligence (AI) in the diagnosis of tuberculosis (TB), a preventable, treatable, and curable infectious disease experiencing a resurgence worldwide.
List of Key Companies Profiled
Siemens Healthineers AG (Siemens AG)
F. Hoffmann-La Roche Ltd.
GE HealthCare Technologies, Inc.
Oracle Corporation (Cerner Corporation)
Koninklijke Philips N.V
Merative L.P. (Francisco Partners)
Medtronic PLC
Sensely, Inc.
CarePredict Inc.
Qventus Inc.
Global AI in Home Healthcare Market Report Segmentation
By Offering
Software
Application Programming Interface
Machine Learning Framework
Hardware
Services
By Technology
Machine Learning
Natural Language Processing
Context-aware Computing
Computer Vision
By Application
Lifestyle Management & Remote Patient Monitoring
Patient Data & Risk Analysis
Virtual Assistants
Wearables
Mental Health
Others
By End User
Healthcare Providers
Healthcare Payers
Patients
Others
By Geography
North America
US
Canada
Mexico
Rest of North America
Europe
Germany
UK
France
Russia
Spain
Italy
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Australia
Malaysia
Rest of Asia Pacific
LAMEA
Brazil
Argentina
UAE
Saudi Arabia
South Africa
Nigeria
Rest of LAMEA
Table of Contents
Chapter 1.Market Scope & Methodology
1.1Market Definition
1.2Objectives
1.3Market Scope
1.4Segmentation
1.4.1Global AI in Home Healthcare Market, by Offering
1.4.2Global AI in Home Healthcare Market, by Technology
1.4.3Global AI in Home Healthcare Market, by Application
1.4.4Global AI in Home Healthcare Market, by End User
1.4.5Global AI in Home Healthcare Market, by Geography
1.5Methodology for the research
Chapter 2.Market at a Glance
2.1Key Highlights
Chapter 3.Market Overview
3.1Introduction
3.1.1Overview
3.1.1.1Market Composition and Scenario
3.2Key Factors Impacting the Market
3.2.1Market Drivers
3.2.2Market Restraints
3.2.3Market Opportunities
3.2.4Market Challenges
Chapter 4.Competition Analysis - Global
4.1KBV Cardinal Matrix
4.2Recent Industry Wide Strategic Developments
4.2.1Partnerships, Collaborations and Agreements
4.2.2Product Launches and Product Expansions
4.2.3Acquisition and Mergers
4.3Market Share Analysis, 2023
4.4Top Winning Strategies
4.4.1Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2Key Strategic Move: (Partnership & Collaboration: 2021, Oct - 2024, Mar) Leading Players
4.5Porter Five Forces Analysis
Chapter 5.Global AI in Home Healthcare Market by Offering
5.1Global Software Market by Region
5.2Global AI in Home Healthcare Market by Software Type
5.2.1Global Application Programming Interface Market by Region
5.2.2Global Machine Learning Framework Market by Region
5.3Global Hardware Market by Region
5.4Global Services Market by Region
Chapter 6.Global AI in Home Healthcare Market by Technology
6.1Global Machine Learning Market by Region
6.2Global Natural Language Processing Market by Region
6.3Global Context-aware Computing Market by Region
6.4Global Computer Vision Market by Region
Chapter 7.Global AI in Home Healthcare Market by Application
7.1Global Lifestyle Management & Remote Patient Monitoring Market by Region
7.2Global Patient Data & Risk Analysis Market by Region
7.3Global Virtual Assistants Market by Region
7.4Global Wearables Market by Region
7.5Global Mental Health Market by Region
7.6Global Others Market by Region
Chapter 8.Global AI in Home Healthcare Market by End User
8.1Global Healthcare Providers Market by Region
8.2Global Healthcare Payers Market by Region
8.3Global Patients Market by Region
8.4Global Others Market by Region
Chapter 9.Global AI in Home Healthcare Market by Region
9.1North America AI in Home Healthcare Market
9.1.1North America AI in Home Healthcare Market by Offering
9.1.1.1North America Software Market by Country
9.1.1.2North America AI in Home Healthcare Market by Software Type
9.1.1.2.1North America Application Programming Interface Market by Region
9.1.1.2.2North America Machine Learning Framework Market by Region
9.1.1.3North America Hardware Market by Country
9.1.1.4North America Services Market by Country
9.1.2North America AI in Home Healthcare Market by Technology
9.1.2.1North America Machine Learning Market by Country
9.1.2.2North America Natural Language Processing Market by Country
9.1.2.3North America Context-aware Computing Market by Country
9.1.2.4North America Computer Vision Market by Country
9.1.3North America AI in Home Healthcare Market by Application
9.1.3.1North America Lifestyle Management & Remote Patient Monitoring Market by Country
9.1.3.2North America Patient Data & Risk Analysis Market by Country
9.1.3.3North America Virtual Assistants Market by Country
9.1.3.4North America Wearables Market by Country
9.1.3.5North America Mental Health Market by Country
9.1.3.6North America Others Market by Country
9.1.4North America AI in Home Healthcare Market by End User
9.1.4.1North America Healthcare Providers Market by Country
9.1.4.2North America Healthcare Payers Market by Country
9.1.4.3North America Patients Market by Country
9.1.4.4North America Others Market by Country
9.1.5North America AI in Home Healthcare Market by Country
9.1.5.1US AI in Home Healthcare Market
9.1.5.1.1US AI in Home Healthcare Market by Offering
9.1.5.1.1.1US AI in Home Healthcare Market by Software Type
9.1.5.1.2US AI in Home Healthcare Market by Technology
9.1.5.1.3US AI in Home Healthcare Market by Application
9.1.5.1.4US AI in Home Healthcare Market by End User
9.1.5.2Canada AI in Home Healthcare Market
9.1.5.2.1Canada AI in Home Healthcare Market by Offering
9.1.5.2.1.1Canada AI in Home Healthcare Market by Software Type
9.1.5.2.2Canada AI in Home Healthcare Market by Technology
9.1.5.2.3Canada AI in Home Healthcare Market by Application
9.1.5.2.4Canada AI in Home Healthcare Market by End User
9.1.5.3Mexico AI in Home Healthcare Market
9.1.5.3.1Mexico AI in Home Healthcare Market by Offering
9.1.5.3.1.1Mexico AI in Home Healthcare Market by Software Type
9.1.5.3.2Mexico AI in Home Healthcare Market by Technology
9.1.5.3.3Mexico AI in Home Healthcare Market by Application
9.1.5.3.4Mexico AI in Home Healthcare Market by End User
9.1.5.4Rest of North America AI in Home Healthcare Market
9.1.5.4.1Rest of North America AI in Home Healthcare Market by Offering
9.1.5.4.1.1Rest of North America AI in Home Healthcare Market by Software Type
9.1.5.4.2Rest of North America AI in Home Healthcare Market by Technology
9.1.5.4.3Rest of North America AI in Home Healthcare Market by Application
9.1.5.4.4Rest of North America AI in Home Healthcare Market by End User
9.2Europe AI in Home Healthcare Market
9.2.1Europe AI in Home Healthcare Market by Offering
9.2.1.1Europe Software Market by Country
9.2.1.2Europe AI in Home Healthcare Market by Software Type
9.2.1.2.1Europe Application Programming Interface Market by Country
9.2.1.2.2Europe Machine Learning Framework Market by Country
9.2.1.3Europe Hardware Market by Country
9.2.1.4Europe Services Market by Country
9.2.2Europe AI in Home Healthcare Market by Technology
9.2.2.1Europe Machine Learning Market by Country
9.2.2.2Europe Natural Language Processing Market by Country
9.2.2.3Europe Context-aware Computing Market by Country
9.2.2.4Europe Computer Vision Market by Country
9.2.3Europe AI in Home Healthcare Market by Application
9.2.3.1Europe Lifestyle Management & Remote Patient Monitoring Market by Country
9.2.3.2Europe Patient Data & Risk Analysis Market by Country
9.2.3.3Europe Virtual Assistants Market by Country
9.2.3.4Europe Wearables Market by Country
9.2.3.5Europe Mental Health Market by Country
9.2.3.6Europe Others Market by Country
9.2.4Europe AI in Home Healthcare Market by End User
9.2.4.1Europe Healthcare Providers Market by Country
9.2.4.2Europe Healthcare Payers Market by Country
9.2.4.3Europe Patients Market by Country
9.2.4.4Europe Others Market by Country
9.2.5Europe AI in Home Healthcare Market by Country
9.2.5.1Germany AI in Home Healthcare Market
9.2.5.1.1Germany AI in Home Healthcare Market by Offering
9.2.5.1.1.1Germany AI in Home Healthcare Market by Software Type
9.2.5.1.2Germany AI in Home Healthcare Market by Technology
9.2.5.1.3Germany AI in Home Healthcare Market by Application
9.2.5.1.4Germany AI in Home Healthcare Market by End User
9.2.5.2UK AI in Home Healthcare Market
9.2.5.2.1UK AI in Home Healthcare Market by Offering
9.2.5.2.1.1UK AI in Home Healthcare Market by Software Type
9.2.5.2.2UK AI in Home Healthcare Market by Technology
9.2.5.2.3UK AI in Home Healthcare Market by Application
9.2.5.2.4UK AI in Home Healthcare Market by End User
9.2.5.3France AI in Home Healthcare Market
9.2.5.3.1France AI in Home Healthcare Market by Offering
9.2.5.3.1.1France AI in Home Healthcare Market by Software Type
9.2.5.3.2France AI in Home Healthcare Market by Technology
9.2.5.3.3France AI in Home Healthcare Market by Application
9.2.5.3.4France AI in Home Healthcare Market by End User
9.2.5.4Russia AI in Home Healthcare Market
9.2.5.4.1Russia AI in Home Healthcare Market by Offering
9.2.5.4.1.1Russia AI in Home Healthcare Market by Software Type
9.2.5.4.2Russia AI in Home Healthcare Market by Technology
9.2.5.4.3Russia AI in Home Healthcare Market by Application
9.2.5.4.4Russia AI in Home Healthcare Market by End User
9.2.5.5Spain AI in Home Healthcare Market
9.2.5.5.1Spain AI in Home Healthcare Market by Offering
9.2.5.5.1.1Spain AI in Home Healthcare Market by Software Type
9.2.5.5.2Spain AI in Home Healthcare Market by Technology
9.2.5.5.3Spain AI in Home Healthcare Market by Application
9.2.5.5.4Spain AI in Home Healthcare Market by End User
9.2.5.6Italy AI in Home Healthcare Market
9.2.5.6.1Italy AI in Home Healthcare Market by Offering
9.2.5.6.1.1Italy AI in Home Healthcare Market by Software Type
9.2.5.6.2Italy AI in Home Healthcare Market by Technology
9.2.5.6.3Italy AI in Home Healthcare Market by Application
9.2.5.6.4Italy AI in Home Healthcare Market by End User
9.2.5.7Rest of Europe AI in Home Healthcare Market
9.2.5.7.1Rest of Europe AI in Home Healthcare Market by Offering
9.2.5.7.1.1Rest of Europe AI in Home Healthcare Market by Software Type
9.2.5.7.2Rest of Europe AI in Home Healthcare Market by Technology
9.2.5.7.3Rest of Europe AI in Home Healthcare Market by Application
9.2.5.7.4Rest of Europe AI in Home Healthcare Market by End User
9.3Asia Pacific AI in Home Healthcare Market
9.3.1Asia Pacific AI in Home Healthcare Market by Offering
9.3.1.1Asia Pacific Software Market by Country
9.3.1.2Asia Pacific AI in Home Healthcare Market by Software Type
9.3.1.2.1Asia Pacific Application Programming Interface Market by Country
9.3.1.2.2Asia Pacific Machine Learning Framework Market by Country
9.3.1.3Asia Pacific Hardware Market by Country
9.3.1.4Asia Pacific Services Market by Country
9.3.2Asia Pacific AI in Home Healthcare Market by Technology
9.3.2.1Asia Pacific Machine Learning Market by Country
9.3.2.2Asia Pacific Natural Language Processing Market by Country
9.3.2.3Asia Pacific Context-aware Computing Market by Country
9.3.2.4Asia Pacific Computer Vision Market by Country
9.3.3Asia Pacific AI in Home Healthcare Market by Application
9.3.3.1Asia Pacific Lifestyle Management & Remote Patient Monitoring Market by Country
9.3.3.2Asia Pacific Patient Data & Risk Analysis Market by Country
9.3.3.3Asia Pacific Virtual Assistants Market by Country
9.3.3.4Asia Pacific Wearables Market by Country
9.3.3.5Asia Pacific Mental Health Market by Country
9.3.3.6Asia Pacific Others Market by Country
9.3.4Asia Pacific AI in Home Healthcare Market by End User
9.3.4.1Asia Pacific Healthcare Providers Market by Country
9.3.4.2Asia Pacific Healthcare Payers Market by Country
9.3.4.3Asia Pacific Patients Market by Country
9.3.4.4Asia Pacific Others Market by Country
9.3.5Asia Pacific AI in Home Healthcare Market by Country
9.3.5.1China AI in Home Healthcare Market
9.3.5.1.1China AI in Home Healthcare Market by Offering
9.3.5.1.1.1China AI in Home Healthcare Market by Software Type
9.3.5.1.2China AI in Home Healthcare Market by Technology
9.3.5.1.3China AI in Home Healthcare Market by Application
9.3.5.1.4China AI in Home Healthcare Market by End User
9.3.5.2Japan AI in Home Healthcare Market
9.3.5.2.1Japan AI in Home Healthcare Market by Offering
9.3.5.2.1.1Japan AI in Home Healthcare Market by Software Type
9.3.5.2.2Japan AI in Home Healthcare Market by Technology
9.3.5.2.3Japan AI in Home Healthcare Market by Application
9.3.5.2.4Japan AI in Home Healthcare Market by End User
9.3.5.3India AI in Home Healthcare Market
9.3.5.3.1India AI in Home Healthcare Market by Offering
9.3.5.3.1.1India AI in Home Healthcare Market by Software Type
9.3.5.3.2India AI in Home Healthcare Market by Technology
9.3.5.3.3India AI in Home Healthcare Market by Application
9.3.5.3.4India AI in Home Healthcare Market by End User
9.3.5.4South Korea AI in Home Healthcare Market
9.3.5.4.1South Korea AI in Home Healthcare Market by Offering
9.3.5.4.1.1South Korea AI in Home Healthcare Market by Software Type
9.3.5.4.2South Korea AI in Home Healthcare Market by Technology
9.3.5.4.3South Korea AI in Home Healthcare Market by Application
9.3.5.4.4South Korea AI in Home Healthcare Market by End User
9.3.5.5Australia AI in Home Healthcare Market
9.3.5.5.1Australia AI in Home Healthcare Market by Offering
9.3.5.5.1.1Australia AI in Home Healthcare Market by Software Type
9.3.5.5.2Australia AI in Home Healthcare Market by Technology
9.3.5.5.3Australia AI in Home Healthcare Market by Application
9.3.5.5.4Australia AI in Home Healthcare Market by End User
9.3.5.6Malaysia AI in Home Healthcare Market
9.3.5.6.1Malaysia AI in Home Healthcare Market by Offering
9.3.5.6.1.1Malaysia AI in Home Healthcare Market by Software Type
9.3.5.6.2Malaysia AI in Home Healthcare Market by Technology
9.3.5.6.3Malaysia AI in Home Healthcare Market by Application
9.3.5.6.4Malaysia AI in Home Healthcare Market by End User
9.3.5.7Rest of Asia Pacific AI in Home Healthcare Market
9.3.5.7.1Rest of Asia Pacific AI in Home Healthcare Market by Offering
9.3.5.7.1.1Rest of Asia Pacific AI in Home Healthcare Market by Software Type
9.3.5.7.2Rest of Asia Pacific AI in Home Healthcare Market by Technology
9.3.5.7.3Rest of Asia Pacific AI in Home Healthcare Market by Application
9.3.5.7.4Rest of Asia Pacific AI in Home Healthcare Market by End User
9.4LAMEA AI in Home Healthcare Market
9.4.1LAMEA AI in Home Healthcare Market by Offering
9.4.1.1LAMEA Software Market by Country
9.4.1.2LAMEA AI in Home Healthcare Market by Software Type
9.4.1.2.1LAMEA Application Programming Interface Market by Country
9.4.1.2.2LAMEA Machine Learning Framework Market by Country
9.4.1.3LAMEA Hardware Market by Country
9.4.1.4LAMEA Services Market by Country
9.4.2LAMEA AI in Home Healthcare Market by Technology
9.4.2.1LAMEA Machine Learning Market by Country
9.4.2.2LAMEA Natural Language Processing Market by Country
9.4.2.3LAMEA Context-aware Computing Market by Country
9.4.2.4LAMEA Computer Vision Market by Country
9.4.3LAMEA AI in Home Healthcare Market by Application
9.4.3.1LAMEA Lifestyle Management & Remote Patient Monitoring Market by Country
9.4.3.2LAMEA Patient Data & Risk Analysis Market by Country
9.4.3.3LAMEA Virtual Assistants Market by Country
9.4.3.4LAMEA Wearables Market by Country
9.4.3.5LAMEA Mental Health Market by Country
9.4.3.6LAMEA Others Market by Country
9.4.4LAMEA AI in Home Healthcare Market by End User
9.4.4.1LAMEA Healthcare Providers Market by Country
9.4.4.2LAMEA Healthcare Payers Market by Country
9.4.4.3LAMEA Patients Market by Country
9.4.4.4LAMEA Others Market by Country
9.4.5LAMEA AI in Home Healthcare Market by Country
9.4.5.1Brazil AI in Home Healthcare Market
9.4.5.1.1Brazil AI in Home Healthcare Market by Offering
9.4.5.1.1.1Brazil AI in Home Healthcare Market by Software Type
9.4.5.1.2Brazil AI in Home Healthcare Market by Technology
9.4.5.1.3Brazil AI in Home Healthcare Market by Application
9.4.5.1.4Brazil AI in Home Healthcare Market by End User
9.4.5.2Argentina AI in Home Healthcare Market
9.4.5.2.1Argentina AI in Home Healthcare Market by Offering
9.4.5.2.1.1Argentina AI in Home Healthcare Market by Software Type
9.4.5.2.2Argentina AI in Home Healthcare Market by Technology
9.4.5.2.3Argentina AI in Home Healthcare Market by Application
9.4.5.2.4Argentina AI in Home Healthcare Market by End User
9.4.5.3UAE AI in Home Healthcare Market
9.4.5.3.1UAE AI in Home Healthcare Market by Offering
9.4.5.3.1.1UAE AI in Home Healthcare Market by Software Type
9.4.5.3.2UAE AI in Home Healthcare Market by Technology
9.4.5.3.3UAE AI in Home Healthcare Market by Application
9.4.5.3.4UAE AI in Home Healthcare Market by End User
9.4.5.4Saudi Arabia AI in Home Healthcare Market
9.4.5.4.1Saudi Arabia AI in Home Healthcare Market by Offering
9.4.5.4.1.1Saudi Arabia AI in Home Healthcare Market by Software Type
9.4.5.4.2Saudi Arabia AI in Home Healthcare Market by Technology
9.4.5.4.3Saudi Arabia AI in Home Healthcare Market by Application
9.4.5.4.4Saudi Arabia AI in Home Healthcare Market by End User
9.4.5.5South Africa AI in Home Healthcare Market
9.4.5.5.1South Africa AI in Home Healthcare Market by Offering
9.4.5.5.1.1South Africa AI in Home Healthcare Market by Software Type
9.4.5.5.2South Africa AI in Home Healthcare Market by Technology
9.4.5.5.3South Africa AI in Home Healthcare Market by Application
9.4.5.5.4South Africa AI in Home Healthcare Market by End User
9.4.5.6Nigeria AI in Home Healthcare Market
9.4.5.6.1Nigeria AI in Home Healthcare Market by Offering
9.4.5.6.1.1Nigeria AI in Home Healthcare Market by Software Type
9.4.5.6.2Nigeria AI in Home Healthcare Market by Technology
9.4.5.6.3Nigeria AI in Home Healthcare Market by Application
9.4.5.6.4Nigeria AI in Home Healthcare Market by End User
9.4.5.7Rest of LAMEA AI in Home Healthcare Market
9.4.5.7.1Rest of LAMEA AI in Home Healthcare Market by Offering
9.4.5.7.1.1Rest of LAMEA AI in Home Healthcare Market by Software Type
9.4.5.7.2Rest of LAMEA AI in Home Healthcare Market by Technology
9.4.5.7.3Rest of LAMEA AI in Home Healthcare Market by Application
9.4.5.7.4Rest of LAMEA AI in Home Healthcare Market by End User
Chapter 10.Company Profiles
10.1Siemens Healthineers AG (Siemens AG)
10.1.1Company Overview
10.1.2Financial Analysis
10.1.3Segmental and Regional Analysis
10.1.4Research & Development Expense
10.1.5Recent strategies and developments:
10.1.5.1Partnerships, Collaborations, and Agreements:
10.1.5.2Acquisition and Mergers:
10.1.6SWOT Analysis
10.2F. Hoffmann-La Roche Ltd.
10.2.1Company Overview
10.2.2Financial Analysis
10.2.3Segmental and Regional Analysis
10.2.4Research & Development Expense
10.2.5Recent strategies and developments:
10.2.5.1Partnerships, Collaborations, and Agreements:
10.2.6SWOT Analysis
10.3GE HealthCare Technologies, Inc.
10.3.1Company Overview
10.3.2Financial Analysis
10.3.3Segmental and Regional Analysis
10.3.4Research & Development Expenses
10.3.5Recent strategies and developments:
10.3.5.1Partnerships, Collaborations, and Agreements:
10.3.5.2Acquisition and Mergers:
10.3.6SWOT Analysis
10.4Oracle Corporation (Cerner Corporation)
10.4.1Company Overview
10.4.2Financial Analysis
10.4.3Segmental and Regional Analysis
10.4.4Research & Development Expense
10.4.5SWOT Analysis
10.5Koninklijke Philips N.V.
10.5.1Company Overview
10.5.2Financial Analysis
10.5.3Segmental and Regional Analysis
10.5.4Research & Development Expense
10.5.5Recent strategies and developments:
10.5.5.1Partnerships, Collaborations, and Agreements:
10.5.5.2Product Launches and Product Expansions:
10.5.5.3Acquisition and Mergers:
10.5.6SWOT Analysis
10.6Merative L.P. (Francisco Partners)
10.6.1Company Overview
10.6.2Recent strategies and developments:
10.6.2.1Partnerships, Collaborations, and Agreements:
10.6.3SWOT Analysis
10.7Medtronic PLC
10.7.1Company overview
10.7.2Financial Analysis
10.7.3Segmental and Regional Analysis
10.7.4Research & Development Expenses
10.7.5Recent strategies and developments:
10.7.5.1Partnerships, Collaborations, and Agreements:
10.7.6SWOT Analysis
10.8Sensely, Inc.
10.8.1Company Overview
10.8.2SWOT Analysis
10.9CarePredict Inc.
10.9.1Company Overview
10.9.2SWOT Analysis
10.10.Qventus Inc.
10.10.1Company Overview
10.10.2SWOT Analysis
Chapter 11.Winning Imperatives of AI in Home Healthcare Market