“Global AI in Elderly Care Market reached US$ 34.42 billion in 2024 and is expected to reach US$ 208.59 billion by 2032, growing with a CAGR of 25.26% during the forecast period 2025-2032.” As per DataM intelligence research report
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United States: Recent Industry Developments
✅ In May 2025, New York-based CarePredict expanded its AI-powered wearable system that tracks seniors’ movements, eating habits, and sleep patterns to detect early signs of health decline.The rollout targets senior living communities across Florida and Texas.This expansion aims to reduce hospitalizations by enabling predictive interventions.
✅ In April 2025, Google Health partnered with several U.S. healthcare providers to integrate AI-assisted fall detection into home monitoring systems for elderly patients. The system combines computer vision with wearable sensors for real-time alerts. Early pilots showed a 38% faster response time to critical incidents.
✅ In March 2025, Intuition Robotics secured $50 million to scale its AI-powered companion robot “ElliQ” for elderly care in the U.S. market. The device offers conversation, reminders, and health monitoring to combat loneliness and support independent living. ElliQ adoption in Medicaid programs has been a major growth driver.
Japan: Recent Industry Developments
✅ In June 2025, Fujitsu launched an AI-based monitoring service for elderly care facilities, combining fall prediction, vital sign analysis, and sleep tracking. The system uses edge AI to process data locally, ensuring privacy compliance.It’s being adopted in more than 150 nursing homes across Japan.
✅ In May 2025, SoftBank Robotics upgraded its humanoid robot Pepper with advanced natural language AI to provide emotional support and social engagement in elderly care homes. Pepper can now remember personal preferences and conduct wellness checks.This update aims to address social isolation in Japan’s rapidly aging population.
✅ In April 2025, Panasonic introduced AI-driven mobility support systems for seniors, featuring autonomous walking aids that adjust speed and navigation based on real-time user stability.The technology is being piloted in Osaka and Yokohama. It’s part of Japan’s strategy to enable seniors to live independently for longer.
AI in Elderly Care Market: Drivers
The AI in elderly care market is driven by the rapidly growing aging population worldwide, which is increasing the demand for assisted living solutions and healthcare monitoring. AI-powered systems, including remote monitoring devices, smart sensors, and wearable health trackers, enable real-time health management and emergency response for seniors. Rising prevalence of chronic diseases and cognitive disorders, such as dementia and Alzheimer’s, is prompting adoption of AI solutions for personalized care and early intervention. Technological advancements in robotics, virtual assistants, and telehealth platforms are enhancing elderly independence, safety, and quality of life. Governments and healthcare providers are promoting AI-enabled elderly care to reduce hospitalizations, optimize resource allocation, and manage healthcare costs effectively.
Market growth is also supported by increased integration of AI with IoT and cloud computing, providing data-driven insights for preventive care and daily activity monitoring. Assisted living facilities and homecare providers are investing in AI platforms to improve operational efficiency and caregiver support. Rising consumer awareness of smart healthcare solutions and demand for at-home care are encouraging adoption of AI tools. Strategic collaborations between tech firms, healthcare providers, and insurance companies are accelerating innovation and deployment. Continuous R&D in machine learning, predictive analytics, and human-robot interaction is expanding AI applications in elderly care, driving market growth.
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Segment Covered in the AI in Elderly Care Market:
➥ 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,
Strategic Players Driving the AI in Elderly Care Market Forward:
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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