AI-Powered Solutions For Elderly Care Market - Forecasts from 2025 to 2030

The AI-powered solutions for elderly care market is set to witness robust growth at a CAGR of 9.73% during the forecast period to be worth US$2.249 billion in 2030 from US$1.414 billion in 2025.

The elderly care market is currently experiencing significant growth due to the increasing adoption of AI-powered solutions, driven by a globally aging population and a rising demand for accessible, efficient, and personalized care. AI technologies are being leveraged to create various solutions that enable older adults to live safely and independently for as long as possible. These solutions include predictive analytics, telemonitoring, individualized care plans, social companionship, and robotic assistance. Such innovations are transforming the management of elderly populations and enhancing their quality of life. The AI-powered solutions for elderly care market is witnessing substantial growth, primarily driven by two key factors:

• Growing Elderly Population: The increasing number of elderly individuals is a major driver for the rise in AI-related tools in elder care. As demand for these services grows, so does the need for effective support systems. According to WHO projections, the global population aged 60 and above is expected to surpass 1 billion by 2030, increasing from 1 billion in 2020 to 1.4 billion.
• Integration of IoT and Connected Devices: The incorporation of Internet of Things (IoT) technology in elder care solutions is expected to significantly boost the market. IoT devices, such as wearable sensors, smart home systems, and remote monitoring tools, provide real-time data that enhances care for seniors.

Geographical Outlook of the AI-Powered Solutions for Elderly Care Market:

• North America Expected to Lead Market Share: North America is projected to dominate the market for AI-powered elderly care solutions. This growth is attributed to advanced technological integration in healthcare systems, particularly in the U.S. and Canada. The Population Reference Bureau reports that the number of Americans aged 65 and older is expected to rise from 58 billion in 2022 to 82.5 billion by 2050 - a 47% increase. Additionally, the proportion of this age group within the overall population will grow from 17% to 23% in the coming years, driving demand for AI-powered elderly care solutions.

In summary, the AI-powered solutions for elderly care market is poised for robust growth due to the increasing elderly population requiring innovative care options and the integration of IoT technologies enhancing service delivery. North America is expected to lead this market due to its technological advancements and demographic trends supporting the need for effective elderly care solutions.

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Report Coverage:

• Historical data & forecasts from 2022 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI-powered Solutions for Elderly Care Market Segmentation:

• By Technology
  • Machine Learning
  • Natural Language Processing (NLP)
  • Robotics
  • Computer Vision
  • Others
• By Application
  • Fall Detection and Prevention
  • Remote Monitoring and Healthcare
  • Personalized Virtual Assistants
  • Medication Management
  • Social Interaction and Companionship
  • Others
• By End-User
  • Home Care Settings
  • Assisted Living Facilities
  • Nursing Homes
  • Hospitals And Clinics
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Thailand
    • Others