According to our latest study on “Fall Management Market Forecast to 2028 – COVID-19 Impact and Global Analysis – by Product and End User,” the market is projected to reach US$ 230.10 million by 2028 from US$ 171.36 million in 2021; it is expected to grow at a CAGR of 4.3% from 2021 to 2028. The report highlights the key factors driving the market growth and prominent players with their developments in the market.

Fall management includes any action taken for help for reducing the number of accidental falls suffered by susceptible individuals involving the elderly and people suffering from neurological or orthopedic indications. The main aim for fall management include reducing the chances of falling, reducing the risk of injury, maintaining the highest possible level of mobility, and ensuring ongoing follow-up.

The fall management market experienced positive impact during the COVID-19 pandemic. According to the American Physical Therapy Association (APTA) report, a national survey was conducted in 2021. Through this survey, 36.9% participant reported reduced activity levels and 45.9% said they are experiencing social isolation owing to the pandemic. Additionally, a meta-analysis of study reveals that falls could be atypical symptom of COVID-19 in older patients. Moreover, a study from Israel analyzed that the incidence of hip fracture surgeries in 2020, found fewer falls related fractures surgeries took place during onset of the pandemic with overall rates of falls dropped as compared to 2019 data. Falls associated hospitalization was also less and length of stay dropped too.

Based on product, the fall management market is segmented into sensor pad, floor mat, and RFID tag. The sensor pad segment held the largest share of the market in 2021. The same segment is projected to register the highest CAGR during the forecast period. On the other hand, the RFID tag segment is estimated to register the second-highest CAGR in the market during the forecast period. Fall detection and fall management systems-based sensors play vital roles in elderly's daily life. Today, various sensors are deployed to determine or predict falls benefitting particularly for elderly population. Sensor-fusion method is a novel trend for improving the performance of the system, as it combines multiple data sources from the related sensors. Such factors are increasing the adoption of sensor pad among the population, resulting in overall market growth.