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.
Cardinal Matrix - Market Competition Analysis
Based on the Analysis presented in the 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.The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships & Collaborations.
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.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.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.Market Competition and Attributes
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.
Market Report Segmentation
By Offering- Software
- Application Programming Interface
- Machine Learning Framework
- Hardware
- Services
- Machine Learning
- Natural Language Processing
- Context-aware Computing
- Computer Vision
- Lifestyle Management & Remote Patient Monitoring
- Patient Data & Risk Analysis
- Virtual Assistants
- Wearables
- Mental Health
- Others
- Healthcare Providers
- Healthcare Payers
- Patients
- Others
- 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
Companies Mentioned
- 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.
Methodology
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