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.
AI in Elderly Care Market Report by DataM Intelligence delivers deep insights and analysis into the latest market trends, growth opportunities, and emerging challenges. Designed to help businesses make smarter, faster decisions, our reports combine both data-driven analysis and expert perspectives. At DataM Intelligence, we’re committed to turning complex market landscapes into clear, actionable strategies so you can stay competitive, grow confidently, and seize the right opportunities in a rapidly changing world.
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AI in elderly care refers to the use of artificial intelligence technologies-such as machine learning, robotics, and smart sensors to enhance the health, safety, and well-being of older adults. These solutions support daily activities, remote monitoring, fall detection, medication management, and companionship.
List of the Key Players in the AI in Elderly Care Market:
IBM Corporation, InteliCare, CarePredict, Intuition Robotics, Aiva Health, K4connect, UBTECH ROBOTICS CORP LTD, RapidInnovation, Koninklijke Philips N.V. and Siemens AG.
Industry Development:
In July 2023, TrueCare launched an AI-powered remote patient monitoring (RPM) program aimed at enhancing blood pressure control in elderly patients with chronic hypertension. The program leverages advanced technology developed by Rimidi to deliver more precise and proactive care.
In March 2023, Health Corporation introduced its Care Transitions Program, a strategic initiative designed to support post-discharge care plans, with an emphasis on reducing hospital readmissions among older adults through personalized follow-up and coordinated support.
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Research Process:
Both primary and secondary data sources have been used in the global AI in Elderly Care Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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, Hospitals and Healthcare Institutions
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Regional Analysis for AI in Elderly Care Market:
The regional analysis of the AI in Elderly Care Market covers key regions including North America, Europe, Asia Pacific Middle East and Africa and South America. The North America with a focus on the U.S., Canada, and Mexico; Europe, highlighting major countries like the U.K., Germany, France, and Italy, along with other nations in the region; Asia-Pacific, covering India, China, Japan, South Korea, and Australia, among others; South America, with emphasis on Colombia, Brazil, and Argentina; and the Middle East & Africa, which includes Saudi Arabia, the U.A.E., South Africa, and other countries. This comprehensive regional breakdown helps identify unique market trends and growth opportunities specific to each area.
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
➡ A descriptive analysis of demand-supply gap, market size estimation, SWOT analysis, PESTEL Analysis and forecast in the global market.
➡ Top-down and bottom-up approach for regional analysis
➡ Porter’s five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players.
➡ By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this Market
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People Also Ask:
➠ What is the global sales, production, consumption, import, and export value of the AI in Elderly Care market?
➠ Who are the leading manufacturers in the global AI in Elderly Care industry? What is their operational status in terms of capacity, production, sales, pricing, costs, gross margin, and revenue?
➠ What opportunities and challenges do vendors in the global AI in Elderly Care industry face?
➠ Which applications, end-users, or product types are expected to see growth? What is the market share for each type and application?
➠ What are the key factors and limitations affecting the growth of the AI in Elderly Care market?
➠ What are the various sales, marketing, and distribution channels in the global industry?
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