Press release
United States AI in Elderly Care Market Size, Share, and Forecast 2024-2031: From US$34.39 Billion in 2023 to US$209.19 Billion at 25.32% CAGR, Driven by AI-Powered Remote Monitoring, Social Companion Robots, and Predictive Analytics
AI in Elderly Care Market
According to DataM Intelligence has published a new research report on "AI in Elderly Care Market Size 2025". The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.
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➣ Recent Developments:
United States: Key Developments
✅ August 2025 - A leading healthcare startup launched AI-powered remote monitoring systems that track vital signs, detect falls, and alert caregivers in real time for seniors living independently.
✅ July 2025 - A U.S.-based robotics company introduced social companion robots using natural language processing to provide emotional support, cognitive exercises, and medication reminders.
✅ June 2025 - A major home healthcare provider deployed predictive analytics AI to forecast hospital readmissions among elderly patients, optimizing care plans and reducing costs.
Europe: Key Developments
✅ August 2025 - Germany: A senior care consortium launched AI-integrated care management software for predictive health monitoring and personalized care planning.
✅ July 2025 - UK: A digital health startup deployed AI-powered wearable devices for elderly patients, tracking vital signs and alerting healthcare providers in emergencies.
✅ June 2025 - France: A robotics company introduced assistive AI exoskeletons for elderly mobility support, helping seniors regain independence and reduce fall risk.
➣ Top Industry Players:
IBM Corporation, InteliCare, CarePredict, Intuition Robotics, Aiva Health, K4connect, UBTECH ROBOTICS CORP LTD, RapidInnovation, Koninklijke Philips N.V. and Siemens AG.
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➣ Key Segments:
By Technology: Machine Learning, Natural Language Processing (NLP), Robotics, Computer Vision, Others
By Application: Fall Detection and Prevention, Medication Management, Remote Health Monitoring, Social Engagement and Companion AI, Cognitive Stimulation and Brain Training
By End-User: Home Care Settings, Assisted Living Facilities, Nursing Homes and Long-Term Care Centers, Hospitals and Healthcare Institutions, Sustainability Analysis, Environmental Analysis, Economic Analysis, Governance Analysis
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