Definition:
Connected Biosensors are devices that collect information on a variety of health parameters and vital signs of an individual, such as blood pressure, temperature, and blood glucose, by reading or measuring this data and transmitting it via electrical signals. This market also includes social alarms as an example of ambient assisted living technologies, which are emerging technologies enabled by IoT, AI, sensors, and wireless communication technologies with the goal of helping elderly people live safely and independently in their environment.Structure:
The Connected Biosensors market is divided into four categories: thermometers, blood glucose meters, blood pressure meters, and social alarms.Additional Information:
The market data comprises revenue, average revenue per user, users, and user penetration rates. The data only reflects B2C revenues; B2B and C2C revenues are not covered.Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jun 2024
Source: Statista Market Insights
Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
Most recent update: Jul 2024
Most recent update: Jun 2024
Source: Statista Market Insights
The Connected Biosensors market in Central & Western Europe is experiencing a notable surge in demand and innovation, driven by a growing emphasis on health monitoring and technological advancements in the region.
Customer preferences: Customers in Central & Western Europe are increasingly inclined towards smart biosensors due to their convenience, accuracy, and ability to provide real-time health data. The ease of use and integration with smartphones or other devices are appealing features for tech-savvy consumers in this region.
Trends in the market: In countries like Germany and the UK, there is a rising trend towards smart thermometers for monitoring body temperature, especially in households with children or elderly individuals. Similarly, smart blood glucose meters are gaining popularity among individuals with diabetes in countries like France and Italy, as they offer a convenient way to track blood sugar levels.
Local special circumstances: Central & Western Europe has a well-established healthcare infrastructure and a high level of awareness regarding the importance of preventive healthcare. This has created a conducive environment for the adoption of connected biosensors, as consumers are increasingly proactive about monitoring their health and well-being.
Underlying macroeconomic factors: The overall economic stability in Central & Western Europe has enabled consumers to invest in healthcare technology, including connected biosensors. Additionally, the presence of major technology companies and research institutions in the region has facilitated the development of innovative biosensor technologies, driving market growth.
Most recent update: Jun 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Source: Statista Market Insights
Most recent update: Jun 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2C enterprises. Figures are based on revenues and user data of relevant mobile applications and consumer electronics companies.Modeling approach / Market size:
Market sizes are determined through a combined top-down and bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of key players, industry reports, third-party reports, and survey results from primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, population, internet penetration, smartphone penetration, consumer spending, and healthcare spending. This data helps us estimate the market size for each country individually.Forecasts:
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption.Additional notes:
The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war is considered at a country-specific level.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights