Market Insights Digital Digital Health Digital Treatment & Care

Connected Biosensors - France

France

In France, the market segment Connected Biosensors is expected to generate a revenue of €308.10m in 2024.
This projection indicates a positive trend as the revenue is anticipated to grow at an annual growth rate of 3.58% (CAGR 2024-2028).
By 2028, the market volume is estimated to reach €354.60m.
Regarding user penetration, it is projected to be 4.57% in 2024 and is expected to increase to 4.77% by 2028.
This indicates a gradual adoption of connected biometric sensors among users in France.
The average revenue per user (ARPU) is forecasted to be €102.40, reflecting the amount of revenue generated per user in this market segment.
In terms of global comparison, in China is expected to generate the highest revenue in the Connected Biosensors, with a projected revenue of €4,107.00m in 2024.
France is at the forefront of the digital health market, with a growing adoption of connected biometric sensors for personalized healthcare solutions.

Key regions: Italy, Germany, France, United Kingdom, India

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Analyst Opinion

The Connected Biosensors market in France is experiencing significant growth and evolution, driven by various factors shaping customer preferences, market trends, local special circumstances, and underlying macroeconomic factors.

Customer preferences: Customers in France are increasingly leaning towards smart healthcare devices such as smart thermometers, smart blood glucose meters, smart blood pressure meters, and social alarms. These connected biosensors offer convenience, real-time monitoring, and seamless integration with other digital platforms, aligning with the growing trend of digital health and wellness management.

Trends in the market: In France, the Connected Biosensors market is witnessing a surge in demand for smart blood glucose meters, driven by the rising prevalence of diabetes and the need for continuous glucose monitoring. The market is also seeing a growing adoption of smart thermometers, especially in the wake of the COVID-19 pandemic, as individuals prioritize remote health monitoring and telemedicine solutions. Additionally, the increasing awareness about preventive healthcare measures is fueling the demand for smart blood pressure meters in the country.

Local special circumstances: France has a well-established healthcare system with a strong focus on innovation and technology integration. The country's aging population, coupled with the rising burden of chronic diseases, is creating a conducive environment for the adoption of connected biosensors. Furthermore, the French government's initiatives to promote digital health solutions and remote patient monitoring are propelling the growth of the market in the region.

Underlying macroeconomic factors: The Connected Biosensors market in France is also influenced by macroeconomic factors such as increasing healthcare expenditure, technological advancements, and regulatory support for digital health solutions. The growing investment in healthcare infrastructure and the emphasis on preventive care are driving the uptake of connected biosensors among both healthcare providers and consumers in the country. Moreover, the presence of key market players and research institutions focusing on healthcare innovation is contributing to the overall expansion of the market in France.

Methodology

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.