Global Fall Detection Radar Market Growth 2025-2031
Description
The global Fall Detection Radar market size is predicted to grow from US$ 38.2 million in 2025 to US$ 119 million in 2031; it is expected to grow at a CAGR of 20.9% from 2025 to 2031.
The impact of the latest U.S. tariff measures and the corresponding policy responses from countries worldwide on market competitiveness, regional economic performance, and supply chain configurations will be comprehensively evaluated in this report.
Fall Detection Radar is a specialized radar system designed to detect falls in real-time, often used in healthcare, elderly care, and safety applications. It works by emitting radio waves that bounce off objects, including the human body. When a person falls, the radar detects the sudden change in movement or position, distinguishing a fall from normal activity. The system can be integrated into smart homes, healthcare facilities, or wearable devices to trigger immediate alerts, ensuring rapid assistance for individuals who have fallen. Fall detection radar is valued for its ability to function in low-visibility environments and provide non-invasive monitoring.
As the proportion of the elderly population continues to grow, falls have become one of the main risks that threaten their ability to live independently and their life safety, driving the demand for non-contact, high-precision monitoring equipment in medical institutions, nursing homes and families. Fall detection radar uses technologies such as millimeter waves to accurately identify human movements. It has the advantages of strong privacy protection and stable operation around the clock, and is widely used in scenarios such as smart homes, medical care, and community elderly care. At the same time, the integration of artificial intelligence algorithms and Internet of Things technologies has further improved the judgment accuracy and response speed of the radar system, accelerating its application in the field of health monitoring.
LP Information, Inc. (LPI) ' newest research report, the “Fall Detection Radar Industry Forecast” looks at past sales and reviews total world Fall Detection Radar sales in 2024, providing a comprehensive analysis by region and market sector of projected Fall Detection Radar sales for 2025 through 2031. With Fall Detection Radar sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Fall Detection Radar industry.
This Insight Report provides a comprehensive analysis of the global Fall Detection Radar landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Fall Detection Radar portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Fall Detection Radar market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Fall Detection Radar and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Fall Detection Radar.
This report presents a comprehensive overview, market shares, and growth opportunities of Fall Detection Radar market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
60GHz
24GHz
Others
Segmentation by Application:
Nursing Home
Hospital
Home
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Vayyar
Tsingray Technology
Talius Group
Hikvision
Uniview
CQ-S Net
bitsensing
Miaomi Technology
Fusion
Livy Care
Megvii
Micradar
WHST Co., Ltd.
Microbrain Intelligent
ifLabel
Dianke AIoT
Key Questions Addressed in this Report
What is the 10-year outlook for the global Fall Detection Radar market?
What factors are driving Fall Detection Radar market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Fall Detection Radar market opportunities vary by end market size?
How does Fall Detection Radar break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
The impact of the latest U.S. tariff measures and the corresponding policy responses from countries worldwide on market competitiveness, regional economic performance, and supply chain configurations will be comprehensively evaluated in this report.
Fall Detection Radar is a specialized radar system designed to detect falls in real-time, often used in healthcare, elderly care, and safety applications. It works by emitting radio waves that bounce off objects, including the human body. When a person falls, the radar detects the sudden change in movement or position, distinguishing a fall from normal activity. The system can be integrated into smart homes, healthcare facilities, or wearable devices to trigger immediate alerts, ensuring rapid assistance for individuals who have fallen. Fall detection radar is valued for its ability to function in low-visibility environments and provide non-invasive monitoring.
As the proportion of the elderly population continues to grow, falls have become one of the main risks that threaten their ability to live independently and their life safety, driving the demand for non-contact, high-precision monitoring equipment in medical institutions, nursing homes and families. Fall detection radar uses technologies such as millimeter waves to accurately identify human movements. It has the advantages of strong privacy protection and stable operation around the clock, and is widely used in scenarios such as smart homes, medical care, and community elderly care. At the same time, the integration of artificial intelligence algorithms and Internet of Things technologies has further improved the judgment accuracy and response speed of the radar system, accelerating its application in the field of health monitoring.
LP Information, Inc. (LPI) ' newest research report, the “Fall Detection Radar Industry Forecast” looks at past sales and reviews total world Fall Detection Radar sales in 2024, providing a comprehensive analysis by region and market sector of projected Fall Detection Radar sales for 2025 through 2031. With Fall Detection Radar sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Fall Detection Radar industry.
This Insight Report provides a comprehensive analysis of the global Fall Detection Radar landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Fall Detection Radar portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Fall Detection Radar market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Fall Detection Radar and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Fall Detection Radar.
This report presents a comprehensive overview, market shares, and growth opportunities of Fall Detection Radar market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
60GHz
24GHz
Others
Segmentation by Application:
Nursing Home
Hospital
Home
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Vayyar
Tsingray Technology
Talius Group
Hikvision
Uniview
CQ-S Net
bitsensing
Miaomi Technology
Fusion
Livy Care
Megvii
Micradar
WHST Co., Ltd.
Microbrain Intelligent
ifLabel
Dianke AIoT
Key Questions Addressed in this Report
What is the 10-year outlook for the global Fall Detection Radar market?
What factors are driving Fall Detection Radar market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Fall Detection Radar market opportunities vary by end market size?
How does Fall Detection Radar break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
134 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for Fall Detection Radar by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for Fall Detection Radar by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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