Fall Detection System Market – Global Industry Analysis and Forecast (2021-2027) by Component, Algorithm, System, End User and Region

Fall Detection System Market size was valued at US$ 377.5 Mn in 2020 and is expected to reach US$ 476.4 Mn by 2027 to exhibit a CAGR of 3.38 % during the forecast period. Global Fall Detection System MarketTo know about the Research Methodology :- Request Free Sample Report The objective of the report is to present a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, industry-validated market data and projections with a suitable set of assumptions and methodology. The report also helps in understanding the global fall detection system market dynamics, structure by identifying and analyzing the market segments and project the global market size. The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis. Further, the report also focuses on the competitive analysis of key players by Component, price, financial position, Component portfolio, growth strategies, and regional presence. The report also provides PEST analysis, PORTER’s analysis, and SWOT analysis to address questions of shareholders to prioritizing the efforts and investment in the near future to the emerging segment in global fall detection system market. A fall detection system is defined as an assistive device placed on the human’s waist that alerts when a fall has occurred. The system can sense the persons falling by acceleration analysis and send the geographic position and fall alarm short message to caregivers. So, the elderly who have fallen can get timely help to diminish the negative influence like pressure ulcer, muscle necrosis, and hyperthermia. Rise in demand for smartphones and wearable technologies, growing demand for multimodal technology and better ability to assist in case of fall leading to reduced medical expenses drive the market growth. Low practicality and low acceptability among elders and use of data from replicated conditions for designing the fall detection system algorithm restraint the growth of the market. The privacy concerns regarding the use of fall detection systems and the sensitivity and specificity of the fall detection system are the major challenges of the fall detection system market. Global growing geriatric population and machine learning approach for detecting fall is projected to offer growth opportunity. Accelerometers & gyroscopes anticipated to hold the largest market share in forecast period owing to the Accelerometers & gyroscopes are the most commonly used components in the fall detection system and the increasing use of accelerometers & gyroscopes by end users such as senior citizens – home, and hospitals, nursing, and senior assisted living facilities is a key factor driving the growth of the fall detection system market. Between accelerometers, typically tri-axial accelerometers are used, for the gyroscope-based system, either a bi-axial or tri-axial gyroscope is used to sense a fall. When the fall is detected, the accelerometer & gyroscope system sends an alert signal along with the GPS location of the person. Wearable system is anticipated to hold the largest size of the fall detection system market during the forecast period because of their advantage of cost-efficiency and easy installation and the wearable systems are used in homes as well as outside. Also, the availability of devices pre-installed with the machine learning algorithm is projected to be the main driver for the growth of the wearable systems segment. Senior citizens home end-user segment held the largest size of the fall detection system market in 2020, though the market for hospitals, nursing, and senior assisted living facilities to end users is anticipated to raise at the highest rate during the forecast period. Machine learning method to detect fall is a kind of artificial intelligence that uses the capacity of sensors to understand the fall-related data collected in experimental conditions and during the designing of the product. Machine learning method projected to grow at the highest rate during the forecast period owing to the machine learning method rises the robustness, sensitivity, and specificity of the fall detection system. The machine learning algorithm is extra expensive than the simple threshold method. However, due to its improved accuracy and reducing costs as well as the growing number of artificial intelligence companies in the market is expected to be the fastest-growing segment during the forecast period. Its algorithmic design consumes a lot of computable resources, thus restraining its applications in wearable devices. North America is anticipated to hold the largest share of the fall detection system market during the forecast period because of North America is considered as the main contributor to the global fall detection system market and the US holds the major market share in the region. A major trend driving the fall detection system market in the region is the estimated rise in the acceptance rate of fall detectors among the rapidly growing geriatric population. Also, the rising adoption rate of the machine learning method and reimbursement of healthcare-related costs are the main factors driving the fall detection system market in the US and Canada. Furthermore, Asia Pacific is expected to be the fastest-growing market mostly because of technological inventions and the rising penetration of personal emergency response systems in the country. Beside with this, the growing geriatric population will also act as the main driver for the growth of the fall detection system market.

Fall Detection System Market Scope: Inquire before buying

Global Fall Detection System Market
Report Coverage Details
Base Year: 2020 Forecast Period: 2021-2027
Historical Data: 2016 to 2020 Market Size in 2020: US $ 377.5 Mn.
Forecast Period 2021 to 2027 CAGR: 3.38% Market Size in 2027: US $ 476.4 Mn.
Segments Covered: by Component • Accelerometers & Gyroscopes • Multimodal Sensors • Other Unimodal/Bimodal Sensors
by Algorithm • Simple Threshold • Machine Learning Methods
by System • Wearable Systems • In-Home Landline Systems • In-Home Cellular Systems
by End-User • Senior Citizens – Home • Senior Citizens – Outside • Lone Workers • Hospitals, Nursing Homes, And Senior Assisted Living Facilities • Others

Global Fall Detection System market, by Region

• North America • Europe • Asia-Pacific • Middle East & Africa • South America

Fall Detection System market Key Players

• Koninklijke Philips N.V. • Connect America • ADT Corporation • Tunstall Healthcare Group Ltd. • Medical Guardian LLC • Bay Alarm Medical • Singapore Technologies Electronics Limited • Mobilehelp • Mytrex, Inc. • Semtech Corporation • Alertone Services, LLC • Lifefone • GreatCall • SafeGuardian LLC • LifeStation, Inc. • Walgreen Company • Legrand Electric Ltd • Rescue Alert • Galaxy Medical Alert Systems • DBA Rescue Alert

Global Fall Detection System Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Fall Detection System Size, by Market Value (US$ Mn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7.  Global Fall Detection System Market Industry Trends and Emerging Technologies 4.8. Patent Registration 5. Supply Side and Demand Side Indicators 6. Global Fall Detection System Market Analysis and Forecast 6.1. Global Fall Detection System Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Fall Detection System Market Analysis and Forecast, by Component 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Fall Detection System Market Value Share Analysis, by Component 7.4. Global Fall Detection System Market Size (US$ Mn) Forecast, by Component 7.5. Global Fall Detection System Market Analysis, by Component 7.6. Global Fall Detection System Market Attractiveness Analysis, by Component 8. Global Fall Detection System Market Analysis and Forecast, by Algorithm 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Fall Detection System Market Value Share Analysis, by Algorithm 8.4. Global Fall Detection System Market Size (US$ Mn) Forecast, by Algorithm 8.5. Global Fall Detection System Market Analysis, by Algorithm 8.6. Global Fall Detection System Market Attractiveness Analysis, by Algorithm 9. Global Fall Detection System Market Analysis and Forecast, by System 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Fall Detection System Market Value Share Analysis, by System 9.4. Global Fall Detection System Market Size (US$ Mn) Forecast, by System 9.5. Global Fall Detection System Market Analysis, by System 9.6. Global Fall Detection System Market Attractiveness Analysis, by System 10. Global Fall Detection System Market Analysis and Forecast, by End User 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Fall Detection System Market Value Share Analysis, by End User 10.4. Global Fall Detection System Market Size (US$ Mn) Forecast, by End User 10.5. Global Fall Detection System Market Analysis, by End User 10.6. Global Fall Detection System Market Attractiveness Analysis, by End User 11. Global Fall Detection System Market Analysis, by Region 11.1. Global Fall Detection System Market Value Share Analysis, by Region 11.2. Global Fall Detection System Market Size (US$ Mn) Forecast, by Region 11.3. Global Fall Detection System Market Attractiveness Analysis, by Region 12. North America Fall Detection System Market Analysis 12.1. Key Findings 12.2. North America Fall Detection System Market Overview 12.3. North America Fall Detection System Market Value Share Analysis, by Component 12.4. North America Fall Detection System Market Forecast, by Component 12.4.1. Accelerometers & Gyroscopes 12.4.2. Multimodal Sensors 12.4.3. Other Unimodal/Bimodal Sensors 12.5. North America Fall Detection System Market Value Share Analysis, by Algorithm 12.6. North America Fall Detection System Market Forecast, by Algorithm 12.6.1. Simple Threshold 12.6.2. Machine Learning Methods 12.7. North America Fall Detection System Market Value Share Analysis, by System 12.8. North America Fall Detection System Market Forecast, by System 12.8.1. Wearable Systems 12.8.2. In-Home Landline Systems 12.8.3. In-Home Cellular Systems 12.9. North America Fall Detection System Market Value Share Analysis, by End User 12.10. North America Fall Detection System Market Forecast, by End User 12.10.1. Senior Citizens – Home 12.10.2. Senior Citizens – Outside 12.10.3. Lone Workers 12.10.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 12.10.5. Others 12.11. North America Fall Detection System Market Value Share Analysis, by Country 12.12. North America Fall Detection System Market Forecast, by Country 12.12.1. U.S. 12.12.2. Canada 12.13. North America Fall Detection System Market Analysis, by Country 12.14. U.S. Fall Detection System Market Forecast, by Component 12.14.1. Accelerometers & Gyroscopes 12.14.2. Multimodal Sensors 12.14.3. Other Unimodal/Bimodal Sensors 12.15. U.S. Fall Detection System Market Forecast, by Algorithm 12.15.1. Simple Threshold 12.15.2. Machine Learning Methods 12.16. U.S. Fall Detection System Market Forecast, by System 12.16.1. Wearable Systems 12.16.2. In-Home Landline Systems 12.16.3. In-Home Cellular Systems 12.17. U.S. Fall Detection System Market Forecast, by End User 12.17.1. Senior Citizens – Home 12.17.2. Senior Citizens – Outside 12.17.3. Lone Workers 12.17.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 12.17.5. Others 12.18. Canada Fall Detection System Market Forecast, by Component 12.18.1. Accelerometers & Gyroscopes 12.18.2. Multimodal Sensors 12.18.3. Other Unimodal/Bimodal Sensors 12.19. Canada Fall Detection System Market Forecast, by Algorithm 12.19.1. Simple Threshold 12.19.2. Machine Learning Methods 12.20. Canada Fall Detection System Market Forecast, by System 12.20.1. Wearable Systems 12.20.2. In-Home Landline Systems 12.20.3. In-Home Cellular Systems 12.21. Canada Fall Detection System Market Forecast, by End User 12.21.1. Senior Citizens – Home 12.21.2. Senior Citizens – Outside 12.21.3. Lone Workers 12.21.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 12.21.5. Others 12.22. North America Fall Detection System Market Attractiveness Analysis 12.22.1. By Component 12.22.2. By Algorithm 12.22.3. By System 12.22.4. By End User 12.23. PEST Analysis 12.24. Key Trends 12.25. Key Developments 13. Europe Fall Detection System Market Analysis 13.1. Key Findings 13.2. Europe Fall Detection System Market Overview 13.3. Europe Fall Detection System Market Value Share Analysis, by Component 13.4. Europe Fall Detection System Market Forecast, by Component 13.4.1. Accelerometers & Gyroscopes 13.4.2. Multimodal Sensors 13.4.3. Other Unimodal/Bimodal Sensors 13.5. Europe Fall Detection System Market Value Share Analysis, by Algorithm 13.6. Europe Fall Detection System Market Forecast, by Algorithm 13.6.1. Simple Threshold 13.6.2. Machine Learning Methods 13.7. Europe Fall Detection System Market Value Share Analysis, by System 13.8. Europe Fall Detection System Market Forecast, by System 13.8.1. Wearable Systems 13.8.2. In-Home Landline Systems 13.8.3. In-Home Cellular Systems 13.9. Europe Fall Detection System Market Value Share Analysis, by End User 13.10. Europe Fall Detection System Market Forecast, by End User 13.10.1. Senior Citizens – Home 13.10.2. Senior Citizens – Outside 13.10.3. Lone Workers 13.10.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.10.5. Others 13.11. Europe Fall Detection System Market Value Share Analysis, by Country 13.12. Europe Fall Detection System Market Forecast, by Country 13.12.1. Germany 13.12.2. U.K. 13.12.3. France 13.12.4. Italy 13.12.5. Spain 13.12.6. Rest of Europe 13.13. Europe Fall Detection System Market Analysis, by Country 13.14. Germany Fall Detection System Market Forecast, by Component 13.14.1. Accelerometers & Gyroscopes 13.14.2. Multimodal Sensors 13.14.3. Other Unimodal/Bimodal Sensors 13.15. Germany Fall Detection System Market Forecast, by Algorithm 13.15.1. Simple Threshold 13.15.2. Machine Learning Methods 13.16. Germany Fall Detection System Market Forecast, by System 13.16.1. Wearable Systems 13.16.2. In-Home Landline Systems 13.16.3. In-Home Cellular Systems 13.17. Germany Fall Detection System Market Forecast, by End User 13.17.1. Senior Citizens – Home 13.17.2. Senior Citizens – Outside 13.17.3. Lone Workers 13.17.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.17.5. Others 13.18. U.K. Fall Detection System Market Forecast, by Component 13.18.1. Accelerometers & Gyroscopes 13.18.2. Multimodal Sensors 13.18.3. Other Unimodal/Bimodal Sensors 13.19. U.K. Fall Detection System Market Forecast, by Algorithm 13.19.1. Simple Threshold 13.19.2. Machine Learning Methods 13.20. U.K. Fall Detection System Market Forecast, by System 13.20.1. Wearable Systems 13.20.2. In-Home Landline Systems 13.20.3. In-Home Cellular Systems 13.21. U.K. Fall Detection System Market Forecast, by End User 13.21.1. Senior Citizens – Home 13.21.2. Senior Citizens – Outside 13.21.3. Lone Workers 13.21.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.21.5. Others 13.22. France Fall Detection System Market Forecast, by Component 13.22.1. Accelerometers & Gyroscopes 13.22.2. Multimodal Sensors 13.22.3. Other Unimodal/Bimodal Sensors 13.23. France Fall Detection System Market Forecast, by Algorithm 13.23.1. Simple Threshold 13.23.2. Machine Learning Methods 13.24. France Fall Detection System Market Forecast, by System 13.24.1. Wearable Systems 13.24.2. In-Home Landline Systems 13.24.3. In-Home Cellular Systems 13.25. France Fall Detection System Market Forecast, by End User 13.25.1. Senior Citizens – Home 13.25.2. Senior Citizens – Outside 13.25.3. Lone Workers 13.25.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.25.5. Others 13.26. Italy Fall Detection System Market Forecast, by Component 13.26.1. Accelerometers & Gyroscopes 13.26.2. Multimodal Sensors 13.26.3. Other Unimodal/Bimodal Sensors 13.27. Italy Fall Detection System Market Forecast, by Algorithm 13.27.1. Simple Threshold 13.27.2. Machine Learning Methods 13.28. Italy Fall Detection System Market Forecast, by System 13.28.1. Wearable Systems 13.28.2. In-Home Landline Systems 13.28.3. In-Home Cellular Systems 13.29. Italy Fall Detection System Market Forecast, by End User 13.29.1. Senior Citizens – Home 13.29.2. Senior Citizens – Outside 13.29.3. Lone Workers 13.29.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.29.5. Others 13.30. Spain Fall Detection System Market Forecast, by Component 13.30.1. Accelerometers & Gyroscopes 13.30.2. Multimodal Sensors 13.30.3. Other Unimodal/Bimodal Sensors 13.31. Spain Fall Detection System Market Forecast, by Algorithm 13.31.1. Simple Threshold 13.31.2. Machine Learning Methods 13.32. Spain Fall Detection System Market Forecast, by System 13.32.1. Wearable Systems 13.32.2. In-Home Landline Systems 13.32.3. In-Home Cellular Systems 13.33. Spain Fall Detection System Market Forecast, by End User 13.33.1. Senior Citizens – Home 13.33.2. Senior Citizens – Outside 13.33.3. Lone Workers 13.33.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.33.5. Others 13.34. Rest of Europe Fall Detection System Market Forecast, by Component 13.34.1. Accelerometers & Gyroscopes 13.34.2. Multimodal Sensors 13.34.3. Other Unimodal/Bimodal Sensors 13.35. Other LaserRest of Europe Fall Detection System Market Forecast, by Algorithm 13.35.1. Simple Threshold 13.35.2. Machine Learning Methods 13.36. Rest of Europe Fall Detection System Market Forecast, by System 13.36.1. Wearable Systems 13.36.2. In-Home Landline Systems 13.36.3. In-Home Cellular Systems 13.37. Rest Of Europe Fall Detection System Market Forecast, by End User 13.37.1. Senior Citizens – Home 13.37.2. Senior Citizens – Outside 13.37.3. Lone Workers 13.37.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 13.37.5. Others 13.38. Europe Fall Detection System Market Attractiveness Analysis 13.38.1. By Component 13.38.2. By Algorithm 13.38.3. By System 13.38.4. By End User 13.39. PEST Analysis 13.40. Key Trends 13.41. Key Developments 14. Asia Pacific Fall Detection System Market Analysis 14.1. Key Findings 14.2. Asia Pacific Fall Detection System Market Overview 14.3. Asia Pacific Fall Detection System Market Value Share Analysis, by Component 14.4. Asia Pacific Fall Detection System Market Forecast, by Component 14.4.1. Accelerometers & Gyroscopes 14.4.2. Multimodal Sensors 14.4.3. Other Unimodal/Bimodal Sensors 14.5. Asia Pacific Fall Detection System Market Value Share Analysis, by Algorithm 14.6. Asia Pacific Fall Detection System Market Forecast, by Algorithm 14.6.1. Simple Threshold 14.6.2. Machine Learning Methods 14.7. Asia Pacific Fall Detection System Market Value Share Analysis, by System 14.8. Asia Pacific Fall Detection System Market Forecast, by System 14.8.1. Wearable Systems 14.8.2. In-Home Landline Systems 14.8.3. In-Home Cellular Systems 14.9. Asia Pacific Fall Detection System Market Value Share Analysis, by End User 14.10. Asia Pacific Fall Detection System Market Forecast, by End User 14.10.1. Senior Citizens – Home 14.10.2. Senior Citizens – Outside 14.10.3. Lone Workers 14.10.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 14.10.5. Others 14.11. Asia Pacific Fall Detection System Market Value Share Analysis, by Country 14.12. Asia Pacific Fall Detection System Market Forecast, by Country 14.12.1. China 14.12.2. India 14.12.3. Japan 14.12.4. ASEAN 14.12.5. Rest of Asia Pacific 14.13. Asia Pacific Fall Detection System Market Analysis, by Country 14.14. China Fall Detection System Market Forecast, by Component 14.14.1. Accelerometers & Gyroscopes 14.14.2. Multimodal Sensors 14.14.3. Other Unimodal/Bimodal Sensors 14.15. China Fall Detection System Market Forecast, by Algorithm 14.15.1. Simple Threshold 14.15.2. Machine Learning Methods 14.16. China Fall Detection System Market Forecast, by System 14.16.1. Wearable Systems 14.16.2. In-Home Landline Systems 14.16.3. In-Home Cellular Systems 14.17. China Fall Detection System Market Forecast, by End User 14.17.1. Senior Citizens – Home 14.17.2. Senior Citizens – Outside 14.17.3. Lone Workers 14.17.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 14.17.5. Others 14.18. India Fall Detection System Market Forecast, by Component 14.18.1. Accelerometers & Gyroscopes 14.18.2. Multimodal Sensors 14.18.3. Other Unimodal/Bimodal Sensors 14.19. India Fall Detection System Market Forecast, by Algorithm 14.19.1. Simple Threshold 14.19.2. Machine Learning Methods 14.20. India Fall Detection System Market Forecast, by System 14.20.1. Wearable Systems 14.20.2. In-Home Landline Systems 14.20.3. In-Home Cellular Systems 14.21. India Fall Detection System Market Forecast, by End User 14.21.1. Senior Citizens – Home 14.21.2. Senior Citizens – Outside 14.21.3. Lone Workers 14.21.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 14.21.5. Others 14.22. Japan Fall Detection System Market Forecast, by Component 14.22.1. Accelerometers & Gyroscopes 14.22.2. Multimodal Sensors 14.22.3. Other Unimodal/Bimodal Sensors 14.23. Japan Fall Detection System Market Forecast, by Algorithm 14.23.1. Simple Threshold 14.23.2. Machine Learning Methods 14.24. Japan Fall Detection System Market Forecast, by System 14.24.1. Wearable Systems 14.24.2. In-Home Landline Systems 14.24.3. In-Home Cellular Systems 14.25. Japan Fall Detection System Market Forecast, by End User 14.25.1. Senior Citizens – Home 14.25.2. Senior Citizens – Outside 14.25.3. Lone Workers 14.25.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 14.25.5. Others 14.26. ASEAN Fall Detection System Market Forecast, by Component 14.26.1. Accelerometers & Gyroscopes 14.26.2. Multimodal Sensors 14.26.3. Other Unimodal/Bimodal Sensors 14.27. ASEAN Fall Detection System Market Forecast, by Algorithm 14.27.1. Simple Threshold 14.27.2. Machine Learning Methods 14.28. ASEAN Fall Detection System Market Forecast, by System 14.28.1. Wearable Systems 14.28.2. In-Home Landline Systems 14.28.3. In-Home Cellular Systems 14.29. ASEAN Fall Detection System Market Forecast, by End User 14.29.1. Senior Citizens – Home 14.29.2. Senior Citizens – Outside 14.29.3. Lone Workers 14.29.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 14.29.5. Others 14.30. Rest of Asia Pacific Fall Detection System Market Forecast, by Component 14.30.1. Accelerometers & Gyroscopes 14.30.2. Multimodal Sensors 14.30.3. Other Unimodal/Bimodal Sensors 14.31. Rest of Asia Pacific Fall Detection System Market Forecast, by Algorithm 14.31.1. Simple Threshold 14.31.2. Machine Learning Methods 14.32. Rest of Asia Pacific Fall Detection System Market Forecast, by System 14.32.1. Wearable Systems 14.32.2. In-Home Landline Systems 14.32.3. In-Home Cellular Systems 14.33. Rest of Asia Pacific Fall Detection System Market Forecast, by End User 14.33.1. Senior Citizens – Home 14.33.2. Senior Citizens – Outside 14.33.3. Lone Workers 14.33.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 14.33.5. Others 14.34. Asia Pacific Fall Detection System Market Attractiveness Analysis 14.34.1. By Component 14.34.2. By Algorithm 14.34.3. By System 14.34.4. By End User 14.35. PEST Analysis 14.36. Key Trends 14.37. Key Developments 15. Middle East & Africa Fall Detection System Market Analysis 15.1. Key Findings 15.2. Middle East & Africa Fall Detection System Market Overview 15.3. Middle East & Africa Fall Detection System Market Value Share Analysis, by Component 15.4. Middle East & Africa Fall Detection System Market Forecast, by Component 15.4.1. Accelerometers & Gyroscopes 15.4.2. Multimodal Sensors 15.4.3. Other Unimodal/Bimodal Sensors 15.5. Middle East & Africa Fall Detection System Market Value Share Analysis, by Algorithm 15.6. Middle East & Africa Fall Detection System Market Forecast, by Algorithm 15.6.1. Simple Threshold 15.6.2. Machine Learning Methods 15.7. Middle East & Africa Fall Detection System Market Value Share Analysis, by System 15.8. Middle East & Africa Fall Detection System Market Forecast, by System 15.8.1. Wearable Systems 15.8.2. In-Home Landline Systems 15.8.3. In-Home Cellular Systems 15.9. Middle East & Africa Fall Detection System Market Value Share Analysis, by End User 15.10. Middle East & Africa Fall Detection System Market Forecast, by End User 15.10.1. Senior Citizens – Home 15.10.2. Senior Citizens – Outside 15.10.3. Lone Workers 15.10.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 15.10.5. Others 15.11. Middle East & Africa Fall Detection System Market Value Share Analysis, by Country 15.12. Middle East & Africa Fall Detection System Market Forecast, by Country 15.12.1. GCC 15.12.2. South Africa 15.12.3. Rest of Middle East & Africa 15.13. Middle East & Africa Fall Detection System Market Analysis, by Country 15.14. GCC Fall Detection System Market Forecast, by Component 15.14.1. Accelerometers & Gyroscopes 15.14.2. Multimodal Sensors 15.14.3. Other Unimodal/Bimodal Sensors 15.15. GCC Fall Detection System Market Forecast, by Algorithm 15.15.1. Simple Threshold 15.15.2. Machine Learning Methods 15.16. GCC Fall Detection System Market Forecast, by System 15.16.1. Wearable Systems 15.16.2. In-Home Landline Systems 15.16.3. In-Home Cellular Systems 15.17. GCC Fall Detection System Market Forecast, by End User 15.17.1. Senior Citizens – Home 15.17.2. Senior Citizens – Outside 15.17.3. Lone Workers 15.17.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 15.17.5. Others 15.18. South Africa Fall Detection System Market Forecast, by Component 15.18.1. Accelerometers & Gyroscopes 15.18.2. Multimodal Sensors 15.18.3. Other Unimodal/Bimodal Sensors 15.19. South Africa Fall Detection System Market Forecast, by Algorithm 15.19.1. Simple Threshold 15.19.2. Machine Learning Methods 15.20. South Africa Fall Detection System Market Forecast, by System 15.20.1. Wearable Systems 15.20.2. In-Home Landline Systems 15.20.3. In-Home Cellular Systems 15.21. South Africa Fall Detection System Market Forecast, by End User 15.21.1. Senior Citizens – Home 15.21.2. Senior Citizens – Outside 15.21.3. Lone Workers 15.21.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 15.21.5. Others 15.22. Rest of Middle East & Africa Fall Detection System Market Forecast, by Component 15.22.1. Accelerometers & Gyroscopes 15.22.2. Multimodal Sensors 15.22.3. Other Unimodal/Bimodal Sensors 15.23. Rest of Middle East & Africa Fall Detection System Market Forecast, by Algorithm 15.23.1. Simple Threshold 15.23.2. Machine Learning Methods 15.24. Rest of Middle East & Africa Fall Detection System Market Forecast, by System 15.24.1. Wearable Systems 15.24.2. In-Home Landline Systems 15.24.3. In-Home Cellular Systems 15.25. Rest of Middle East & Africa Fall Detection System Market Forecast, by End User 15.25.1. Senior Citizens – Home 15.25.2. Senior Citizens – Outside 15.25.3. Lone Workers 15.25.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 15.25.5. Others 15.26. Middle East & Africa Fall Detection System Market Attractiveness Analysis 15.26.1. By Component 15.26.2. By Algorithm 15.26.3. By System 15.26.4. By End User 15.27. PEST Analysis 15.28. Key Trends 15.29. Key Developments 16. South America Fall Detection System Market Analysis 16.1. Key Findings 16.2. South America Fall Detection System Market Overview 16.3. South America Fall Detection System Market Value Share Analysis, by Component 16.4. South America Fall Detection System Market Forecast, by Component 16.4.1. Accelerometers & Gyroscopes 16.4.2. Multimodal Sensors 16.4.3. Other Unimodal/Bimodal Sensors 16.5. South America Fall Detection System Market Value Share Analysis, by Algorithm 16.6. South America Fall Detection System Market Forecast, by Algorithm 16.6.1. Simple Threshold 16.6.2. Machine Learning Methods 16.7. South America Fall Detection System Market Value Share Analysis, by System 16.8. South America Fall Detection System Market Forecast, by System 16.8.1. Wearable Systems 16.8.2. In-Home Landline Systems 16.8.3. In-Home Cellular Systems 16.9. South America Fall Detection System Market Value Share Analysis, by End User 16.10. South America Fall Detection System Market Forecast, by End User 16.10.1. Senior Citizens – Home 16.10.2. Senior Citizens – Outside 16.10.3. Lone Workers 16.10.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 16.10.5. Others 16.11. South America Fall Detection System Market Value Share Analysis, by Country 16.12. South America Fall Detection System Market Forecast, by Country 16.12.1. Brazil 16.12.2. Mexico 16.12.3. Rest of South America 16.13. South America Fall Detection System Market Analysis, by Country 16.14. Brazil Fall Detection System Market Forecast, by Component 16.14.1. Accelerometers & Gyroscopes 16.14.2. Multimodal Sensors 16.14.3. Other Unimodal/Bimodal Sensors 16.15. Brazil Fall Detection System Market Forecast, by Algorithm 16.15.1. Simple Threshold 16.15.2. Machine Learning Methods 16.16. Brazil Fall Detection System Market Forecast, by System 16.16.1. Wearable Systems 16.16.2. In-Home Landline Systems 16.16.3. In-Home Cellular Systems 16.17. Brazil Fall Detection System Market Forecast, by End User 16.17.1. Senior Citizens – Home 16.17.2. Senior Citizens – Outside 16.17.3. Lone Workers 16.17.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 16.17.5. Others 16.18. Mexico Fall Detection System Market Forecast, by Component 16.18.1. Accelerometers & Gyroscopes 16.18.2. Multimodal Sensors 16.18.3. Other Unimodal/Bimodal Sensors 16.19. Mexico Fall Detection System Market Forecast, by Algorithm 16.19.1. Simple Threshold 16.19.2. Machine Learning Methods 16.20. Mexico Fall Detection System Market Forecast, by System 16.20.1. Wearable Systems 16.20.2. In-Home Landline Systems 16.20.3. In-Home Cellular Systems 16.21. Mexico Fall Detection System Market Forecast, by End User 16.21.1. Senior Citizens – Home 16.21.2. Senior Citizens – Outside 16.21.3. Lone Workers 16.21.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 16.21.5. Others 16.22. Rest of South America Fall Detection System Market Forecast, by Component 16.22.1. Accelerometers & Gyroscopes 16.22.2. Multimodal Sensors 16.22.3. Other Unimodal/Bimodal Sensors 16.23. Rest of South America Fall Detection System Market Forecast, by Algorithm 16.23.1. Simple Threshold 16.23.2. Machine Learning Methods 16.24. Rest of South America Fall Detection System Market Forecast, by System 16.24.1. Wearable Systems 16.24.2. In-Home Landline Systems 16.24.3. In-Home Cellular Systems 16.25. Rest of South America Fall Detection System Market Forecast, by End User 16.25.1. Senior Citizens – Home 16.25.2. Senior Citizens – Outside 16.25.3. Lone Workers 16.25.4. Hospitals, Nursing Homes, And Senior Assisted Living Facilities 16.25.5. Others 16.26. South America Fall Detection System Market Attractiveness Analysis 16.26.1. By Component 16.26.2. By Algorithm 16.26.3. By System 16.26.4. By End User 16.27. PEST Analysis 16.28. Key Trends 16.29. Key Developments 17. Company Profiles 17.1. Market Share Analysis, by Company 17.2. Competition Matrix 17.2.1. Competitive Benchmarking of key players by price, presence, market share, System and R&D investment 17.2.2. New Product Launches and Product Enhancements 17.2.3. Market Consolidation 17.2.3.1. M&A by Regions, Industry with Application 17.2.3.2. M&A Key Players, Forward Integration and Backward Integration 17.3. Company Profiles: Key Players 17.3.1. Koninklijke Philips N.V. 17.3.1.1. Company Overview 17.3.1.2. Financial Overview 17.3.1.3. Product Portfolio 17.3.1.4. Business Strategy 17.3.1.5. Recent Developments 17.3.1.6. Developments Footprints 17.3.2. Connect America 17.3.3. ADT Corporation 17.3.4. Tunstall Healthcare Group Ltd. 17.3.5. Medical Guardian LLC 17.3.6. Bay Alarm Medical 17.3.7. Singapore Technologies Electronics Limited 17.3.8. Mobilehelp 17.3.9. Mytrex, Inc. 17.3.10. Semtech Corporation 17.3.11. Alertone Services, LLC 17.3.12. Lifefone 17.3.13. GreatCall 17.3.14. SafeGuardian LLC 17.3.15. LifeStation, Inc. 17.3.16. Walgreen Company 17.3.17. Legrand Electric Ltd 17.3.18. Rescue Alert 17.3.19. Galaxy Medical Alert Systems 18. Primary Key Insights

About This Report

Report ID 25573
Category Information Technology & Telecommunication
Published Date JAN 2020
Updated Date Feb 2022
Contact Us