The global demand for fall detection systems is projected to grow to almost twice the size of 2022 estimates. Market research reveals that it is likely to grow at a CAGR of 6.0% during the forecast period from 2022 to 2032. Total market valuation could reach US$ 700.0 million by the end of 2032.
As the geriatric population is on rise, hospital systems and numerous healthcare facilities have adopted this system. The growing demand for wearable systems and advancements in sensor technologies are expected to fuel market growth.
Fall detection systems often significantly reduce the time between the incident of a fall and the arrival of medical help. This has the capacity to drastically increase outcomes for patients.
The World Health Organization (WHO) estimates that falls are the second leading cause of accidental or unintentional injury deaths worldwide, with an estimated 646,000 deaths annually. Falls are also a key cause of non-fatal injuries, with an estimated 37.3 million falls requiring medical attention each year. The organization also reports that the risk of falls increases with age, with falls being the leading cause of injury-related deaths among individuals aged 65 and over.
With increasing research & development (R&D) in this sector, these systems can be integrated into smartphones, smartwatches, wearable devices, and home monitoring systems. Fall detection systems use sensors to detect changes in motion, orientation, and acceleration. Upon detection of a fall, the system sends an alert to a monitoring center or caregiver, who can then assess the situation and provide aid if needed.
Fall detection systems can also provide valuable data for healthcare providers and researchers, allowing them to better understand the risk factors for falls and develop more effective prevention strategies. The data collected by these systems can also be used to improve the design and functionality of fall detection systems, making them more accurate and user-friendly.
Its prevalence is seen to be wide in regions with advanced healthcare infrastructure, like Japan and Sweden. However, with decreasing costs due to R&D, growing proliferation is expected over the forecast period.
| Attributes | Key Insights |
|---|---|
| Fall Detection System Market Estimated Size (2022E) | US$ 392 million |
| Projected Market Valuation (2032F) | US$ 700 million |
| Value-based CAGR (2022 to 2032) | 6.0 % |
| USA Value-based CAGR (2022 to 2032) | 4.8 % |
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As per the Future Market Insights (FMI) report, historically, from 2017 to 2021, the value of the fall detection system industry increased by around 3.3 % CAGR. With an absolute $ opportunity of US$ 308 million during the forecast period, the market is projected to reach a US$ 700 million by 2032.
The prominent factor for this rise is the ageing population. Nearly doubling in valuation by 2032, the market indicates positive trends towards manufacturers and suppliers having a huge opportunity. Rise in diseases like Parkinson’s and Alzheimer’s makes it necessary for manufacturers to look at the mass production of this system and address healthcare concerns.
As compared to the historical estimates, the forecast period predicts a high growth opportunity for this market. The deciding factor for beneficiaries of this trend will be technologically advanced and cost effective products that can be accessible across all economic groups.
As technology is developing at a fast pace, incorporating AI and ML in strategic studies conducted by key players will be of vital help.
Principal Consultant
North America fall detection system market was valued at US$ 158 million in 2021, and US$ 163 million in 2022. The region is projected to have a fall detection system consumer industry worth US$ 292 million in 2032.
The historical CAGR between 2017 and 2021 is 42%. The forecasted CAGR till 2032 is expected to be 41.8%.
Government in North America is increasingly focusing on healthcare and aging-related issues. They are investing in healthcare infrastructure, research, and development of new technologies to address the needs of the geriatric population. Such institutional support is expected to create a favorable environment for the growth of the fall detection system industry in the region.
Around 7.5 million people were suffering from Dementia in the year 2022 in North America. The increasing risk of neurological disorders such as Dementia and Alzheimer with an increase in age, is set to push demand for fall detection systems for better patient monitoring.
Rising Geriatric Population in USA Will Push the Need for Mass Production of Fall Detection System
The fall detection system industry in the USA is expected to grow to be worth US$ 228.2 million by 2032, with an absolute $ growth of US$ 86 million. The fall detection system industry in the USA has grown at a CAGR of 1.8 % from 2017 to 2021, and is expected to grow at a CAGR of 4.8% from 2022 to 2032.
The USA has a rising geriatric population with around 16.9% of the population with ages 65 or older. It is projected that the population in the 65 or older age group will increase to around 20.6% of the population over the forecast period.
With the rising elderly population, the risk of age-related neurological disorders such as Dementia and Alzheimer’s has also increased. There were around 7 million cases diagnosed with dementia in the year 2020 and it is projected to increase to around 9 million cases by 2030.
As Dementia causes loss of strength in the muscles, the risk of having a fall increases, therefore the demand for fall detection systems is projected to increase. This is set to expand the market during the assessment period.
Rising Concerns of Dementia in the United Kingdom to Steer Fall Detection System Demand
The fall detection system industry in the United Kingdom is expected to grow to be worth US$ 33.8 million, with an absolute $ growth of US$ 13.3 million by 2032. The fall detection system market in the United Kingdom has grown at a CAGR of 2.2% from 2017 to 2021. It is further expected to grow at a CAGR of 5.1% over the forecast period.
In the United Kingdom, consumer preferences are also expected to play significant role in driving the demand for fall detection systems.
The population has become health-conscious and, in a move to maintain their independence, they may be more likely to adopt fall detection systems. This improves their safety and reduces the risk of falls. The stigma associated with using assistive technologies will continue to decline, and people may be willing to adopt fall detection systems as part of their daily routine.
There has been a high incidence and occurrence of dementia in the United Kingdom with around 892,000 cases diagnosed in 2018. This is projected to increase to around 1.1 million cases diagnosed by 2030.
Monitoring patients with Dementia is important to provide timely assistance in incidences of chronic illnesses. This is also expected to help the demand for fall detection systems.
China to Spearhead the Growth of Fall Detection System Market in East Asia
Sales in China are expected to be worth US$ 60.65 million, with an absolute $ growth of US$ 29.7 million by 2032. The fall detection system industry in China has grown at a CAGR of 4.7% from 2017 to 2021 and is expected to grow at a CAGR of 6.9% from 2022 to 2032.
Amongst all surveyed countries in the global market, China has the predominant CAGR. This is expected to provide a great opportunity for manufacturers.
The elderly population in China has risen significantly in recent years and is predicted to reach around 100 million people over the age of 65 in the next two decades. Currently, around 10 million people are suffering from Alzheimer’s in China.
Alzheimer’s can cause a loss of strength and present problems in motor functions. This increases the risk of a fall, which makes the fall detection system crucial for the care and monitoring of these patients.
These factors will trigger the demand for fall detection systems in China and the market is projected to skyrocket over the forecast years.
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Technology Driven Accelerometers and Gyroscopes to Remain Highly Sought-After
Accelerometers and gyroscopes are projected to witness significant growth as it has grown at a CAGR of 3.2% from 2017 to 2021. This segment is further expected to grow at a CAGR of 5.8% from 2022 to 2032.
Accelerometers and gyroscopes are the key components of this system and are responsible for providing enhanced assistive experience. Both are small and lightweight, making them highly portable.
This portability makes them ideal for use in wearable devices, such as smartwatches and fitness trackers. Such wearables can be worn by users throughout the day. The increasing popularity of wearable devices is also expected to drive the demand for accelerometers and gyroscopes in fall detection systems.
On the technological front, the utilization of accelerometers and gyroscopes in fall detection systems will be driven by advances in materials and manufacturing processes.
New sensors and algorithms are being developed that can enhance the accuracy of fall detection systems to make them more accessible and consumer friendly. This technological innovation is expected to drive the growth of the fall detection system ecosystem, with accelerometers and gyroscopes playing a key role in this growth.
Integration of Wearable Devices among Millennials to Push Fall Detection Systems’ Demand
The wearable systems category using fall detection systems is projected to witness prominent growth as it has grown at a CAGR of 3.1 % from 2017 to 2021. It is likely to surge at a CAGR of 5.6 % through 2032.
Wearable devices such as smartwatches, fitness trackers, and other wearable sensors can detect falls and send an alert to caregivers or emergency services. These devices also assist in monitoring a person’s physical activity and detect changes in their balance, and other mobility metrics. This can provide valuable insights into a person's overall health and wellbeing.
The market demand is on the rise due to high adoption of wearable technology among the elderly population. This is prominently due to rising healthcare costs, and the growing awareness of the benefits of fall detection and prevention.
Numerous recent advancements have been made in the development of new wearable devices. These advancements have led to these systems providing precise and highly accurate data regarding fall detection and prevention. This has helped reduce the incidents of false alarms.
With the rise in the elderly population and the growing incidence of chronic illnesses such as dementia and Alzheimer, the demand for this segment is projected to expand during the assessment period.
Key players are investing heavily in research and development for new and efficient products. The companies are also focusing on product launches and mergers & acquisitions to augment their market positions.
For instance,
| Attribute | Details |
|---|---|
| Estimated Market Size (2022) | US$ 392 million |
| Projected Market Valuation (2032) | US$ 700 million |
| Value-based CAGR (2022 to 2032) | 6% |
| Forecast Period | 2022 to 2032 |
| Historical Data Available for | 2017 to 2021 |
| Market Analysis | Value (US$ billion) |
| Key Regions Covered |
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| Key Countries Covered |
|
| Key Segments Covered |
|
| Key Companies Profiled |
|
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Market Dynamics and Challenges, and Strategic Growth Initiativ |
The fall detection system market is pegged to achieve US$ 700 million by 2032.
The market is expected to expand at a CAGR of 6%.
Alertone Services, LLC, Lifefone, and GreatCall show considerable sales.
Increasing utilization of fall detection system to analyze data is the key trend in market.
Accelerometers and gyroscopes are highly sought component in the market.
1. Executive Summary | Fall Detection System Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032
4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2021
4.2. Current and Future Market Size Value (US$ Million) Projections, 2022 to 2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2017 to 2021
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2022 to 2032
5.3.1. Accelerometers & Gyroscopes
5.3.2. Multimodal Sensors
5.3.3. Other Unimodal/Bimodal Sensors
5.4. Y-o-Y Growth Trend Analysis By Component, 2017 to 2021
5.5. Absolute $ Opportunity Analysis By Component, 2022 to 2032
6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Algorithm
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Algorithm, 2017 to 2021
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Algorithm, 2022 to 2032
6.3.1. Simple Threshold
6.3.2. Machine Learning Methods
6.4. Y-o-Y Growth Trend Analysis By Algorithm, 2017 to 2021
6.5. Absolute $ Opportunity Analysis By Algorithm, 2022 to 2032
7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By System
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By System, 2017 to 2021
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By System, 2022 to 2032
7.3.1. Wearable Systems
7.3.2. In-Home Landline Systems
7.3.3. In-Home Cellular Systems
7.4. Y-o-Y Growth Trend Analysis By System, 2017 to 2021
7.5. Absolute $ Opportunity Analysis By System, 2022 to 2032
8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By End-User
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End-User, 2017 to 2021
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-User, 2022 to 2032
8.3.1. Senior Citizens – Home
8.3.2. Senior Citizens – Outside
8.3.3. Lone Workers
8.3.4. Hospitals, Nursing Homes, and Senior Assisted Living Facilities
8.3.5. Others
8.4. Y-o-Y Growth Trend Analysis By End-User, 2017 to 2021
8.5. Absolute $ Opportunity Analysis By End-User, 2022 to 2032
9. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2021
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2022 to 2032
9.3.1. North America
9.3.2. Latin America
9.3.3. Europe
9.3.4. Asia Pacific
9.3.5. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
10.2.1. By Country
10.2.1.1. The United States
10.2.1.2. Canada
10.2.2. By Component
10.2.3. By Algorithm
10.2.4. By System
10.2.5. By End-User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Algorithm
10.3.4. By System
10.3.5. By End-User
10.4. Key Takeaways
11. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Component
11.2.3. By Algorithm
11.2.4. By System
11.2.5. By End-User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Algorithm
11.3.4. By System
11.3.5. By End-User
11.4. Key Takeaways
12. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. The United Kingdom
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Europe
12.2.2. By Component
12.2.3. By Algorithm
12.2.4. By System
12.2.5. By End-User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Algorithm
12.3.4. By System
12.3.5. By End-User
12.4. Key Takeaways
13. Asia Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.1.4. Singapore
13.2.1.5. Thailand
13.2.1.6. Indonesia
13.2.1.7. Australia
13.2.1.8. New Zealand
13.2.1.9. Rest of Asia Pacific
13.2.2. By Component
13.2.3. By Algorithm
13.2.4. By System
13.2.5. By End-User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Algorithm
13.3.4. By System
13.3.5. By End-User
13.4. Key Takeaways
14. Middle East and AfricaMiddle East and Africa Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
14.2.1. By Country
14.2.1.1. Gulf Cooperation Council Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of Middle East and Africa
14.2.2. By Component
14.2.3. By Algorithm
14.2.4. By System
14.2.5. By End-User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Algorithm
14.3.4. By System
14.3.5. By End-User
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. The United States
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2021
15.1.2.1. By Component
15.1.2.2. By Algorithm
15.1.2.3. By System
15.1.2.4. By End-User
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2021
15.2.2.1. By Component
15.2.2.2. By Algorithm
15.2.2.3. By System
15.2.2.4. By End-User
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2021
15.3.2.1. By Component
15.3.2.2. By Algorithm
15.3.2.3. By System
15.3.2.4. By End-User
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2021
15.4.2.1. By Component
15.4.2.2. By Algorithm
15.4.2.3. By System
15.4.2.4. By End-User
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2021
15.5.2.1. By Component
15.5.2.2. By Algorithm
15.5.2.3. By System
15.5.2.4. By End-User
15.6. The United Kingdom
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2021
15.6.2.1. By Component
15.6.2.2. By Algorithm
15.6.2.3. By System
15.6.2.4. By End-User
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2021
15.7.2.1. By Component
15.7.2.2. By Algorithm
15.7.2.3. By System
15.7.2.4. By End-User
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2021
15.8.2.1. By Component
15.8.2.2. By Algorithm
15.8.2.3. By System
15.8.2.4. By End-User
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2021
15.9.2.1. By Component
15.9.2.2. By Algorithm
15.9.2.3. By System
15.9.2.4. By End-User
15.10. China
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2021
15.10.2.1. By Component
15.10.2.2. By Algorithm
15.10.2.3. By System
15.10.2.4. By End-User
15.11. Japan
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2021
15.11.2.1. By Component
15.11.2.2. By Algorithm
15.11.2.3. By System
15.11.2.4. By End-User
15.12. South Korea
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2021
15.12.2.1. By Component
15.12.2.2. By Algorithm
15.12.2.3. By System
15.12.2.4. By End-User
15.13. Singapore
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2021
15.13.2.1. By Component
15.13.2.2. By Algorithm
15.13.2.3. By System
15.13.2.4. By End-User
15.14. Thailand
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2021
15.14.2.1. By Component
15.14.2.2. By Algorithm
15.14.2.3. By System
15.14.2.4. By End-User
15.15. Indonesia
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2021
15.15.2.1. By Component
15.15.2.2. By Algorithm
15.15.2.3. By System
15.15.2.4. By End-User
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2021
15.16.2.1. By Component
15.16.2.2. By Algorithm
15.16.2.3. By System
15.16.2.4. By End-User
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2021
15.17.2.1. By Component
15.17.2.2. By Algorithm
15.17.2.3. By System
15.17.2.4. By End-User
15.18. Gulf Cooperation Council Countries
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2021
15.18.2.1. By Component
15.18.2.2. By Algorithm
15.18.2.3. By System
15.18.2.4. By End-User
15.19. South Africa
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2021
15.19.2.1. By Component
15.19.2.2. By Algorithm
15.19.2.3. By System
15.19.2.4. By End-User
15.20. Israel
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2021
15.20.2.1. By Component
15.20.2.2. By Algorithm
15.20.2.3. By System
15.20.2.4. By End-User
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Component
16.3.3. By Algorithm
16.3.4. By System
16.3.5. By End-User
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Koninklijke Philips N.V.
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Connect America
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. ADT Corporation
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Tunstall Healthcare Group Ltd.
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Medical Guardian LLC
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Bay Alarm Medical
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Mobilehelp
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Mytrex, Inc.
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Semtech Corporation
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. Alertone Services LLC,
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.11. Lifefone
17.1.11.1. Overview
17.1.11.2. Product Portfolio
17.1.11.3. Profitability by Market Segments
17.1.11.4. Sales Footprint
17.1.11.5. Strategy Overview
17.1.11.5.1. Marketing Strategy
17.1.12. GreatCall
17.1.12.1. Overview
17.1.12.2. Product Portfolio
17.1.12.3. Profitability by Market Segments
17.1.12.4. Sales Footprint
17.1.12.5. Strategy Overview
17.1.12.5.1. Marketing Strategy
17.1.13. SafeGuardian LLC
17.1.13.1. Overview
17.1.13.2. Product Portfolio
17.1.13.3. Profitability by Market Segments
17.1.13.4. Sales Footprint
17.1.13.5. Strategy Overview
17.1.13.5.1. Marketing Strategy
17.1.14. LifeStation, Inc.
17.1.14.1. Overview
17.1.14.2. Product Portfolio
17.1.14.3. Profitability by Market Segments
17.1.14.4. Sales Footprint
17.1.14.5. Strategy Overview
17.1.14.5.1. Marketing Strategy
17.1.15. Walgreens Company
17.1.15.1. Overview
17.1.15.2. Product Portfolio
17.1.15.3. Profitability by Market Segments
17.1.15.4. Sales Footprint
17.1.15.5. Strategy Overview
17.1.15.5.1. Marketing Strategy
17.1.16. Legrand Electric Ltd
17.1.16.1. Overview
17.1.16.2. Product Portfolio
17.1.16.3. Profitability by Market Segments
17.1.16.4. Sales Footprint
17.1.16.5. Strategy Overview
17.1.16.5.1. Marketing Strategy
17.1.17. Rescue Alert
17.1.17.1. Overview
17.1.17.2. Product Portfolio
17.1.17.3. Profitability by Market Segments
17.1.17.4. Sales Footprint
17.1.17.5. Strategy Overview
17.1.17.5.1. Marketing Strategy
17.1.18. Galaxy Medical Alert Systems
17.1.18.1. Overview
17.1.18.2. Product Portfolio
17.1.18.3. Profitability by Market Segments
17.1.18.4. Sales Footprint
17.1.18.5. Strategy Overview
17.1.18.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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Fall Detection System Market
