Connected Biosensors - EU-27

EU-27

Highlights

The revenue in the market Connected Biosensors in the EU-27 is projected to reach US$1.93bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 3.15%, resulting in a projected market volume of US$2.25bn by 2029.
The user penetration is expected to be 3.71% in 2024 and is projected to reach 3.92% by 2029.
The average revenue per user (ARPU) is expected to amount to US$116.10.
In global comparison, China is anticipated to generate the highest revenue with US$4.49bn in 2024.
In the EU-27 market, Germany leads the way in the adoption of connected biometric sensors in digital health, with a strong focus on precision and accuracy.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Connected Biosensors market in EU-27 is experiencing significant growth driven by increasing demand for remote health monitoring solutions and advancements in technology.

Customer preferences: Customers in the EU-27 region are increasingly looking for convenient and efficient ways to monitor their health parameters. The demand for connected biosensors such as smart thermometers, blood glucose meters, blood pressure meters, and social alarms is on the rise as individuals seek to take control of their health and well-being. The convenience of real-time monitoring and the ability to easily share data with healthcare providers are key factors driving the adoption of connected biosensors in the market.

Trends in the market: In countries like Germany, there is a growing trend towards the use of smart blood glucose meters among diabetic patients. These devices offer features such as data storage, trend analysis, and automatic data syncing with mobile apps, making it easier for individuals to manage their condition. Similarly, in France, smart thermometers are gaining popularity among parents who want to monitor their children's health more effectively. The ability to track temperature trends and receive alerts for fever spikes is driving the demand for these devices in the market.

Local special circumstances: In Italy, the adoption of social alarms is increasing among the elderly population and individuals with chronic conditions who require immediate assistance in case of emergencies. These alarms provide a sense of security and enable quick response times in critical situations, making them a valuable tool for vulnerable individuals. The cultural emphasis on family and community support in Italy further contributes to the acceptance and usage of social alarms in the market.

Underlying macroeconomic factors: The overall economic stability and healthcare infrastructure in the EU-27 region play a significant role in the growth of the connected biosensors market. With increasing healthcare expenditures and a focus on preventive care, governments and healthcare providers are incentivizing the use of digital health solutions such as connected biosensors. Additionally, the presence of a tech-savvy population and high smartphone penetration rates further support the adoption of these devices in the market.

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.