Market Insights Digital Digital Health Digital Treatment & Care

Connected Biosensors - Burundi

Burundi

In Burundi, the projected revenue for the Connected Biosensors is expected to reach €2.56m in 2024.
This projection indicates an annual growth rate of 15.36% (CAGR 2024-2029), resulting in a projected market volume of €5.23m by 2029.
The user penetration rate is anticipated to be 1.13% in 2024 and is expected to increase to 1.97% by 2029.
Additionally, the average revenue per user (ARPU) is estimated to be €16.64.
When comparing global revenue, it is worth noting that China is projected to generate the highest revenue, amounting to €4,123.00m in 2024.
Burundi's digital health market is witnessing a growing demand for connected biometric sensors, revolutionizing healthcare access and patient monitoring in the country.

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

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Connected Biosensors market in Burundi is experiencing a significant growth trajectory driven by various factors.

Customer preferences: Customers in Burundi are increasingly leaning towards connected biosensors due to the convenience and efficiency they offer in monitoring health parameters. The demand for smart thermometers, smart blood glucose meters, smart blood pressure meters, and social alarms is on the rise as individuals seek ways to proactively manage their health.

Trends in the market: One of the key trends in the Connected Biosensors market in Burundi is the growing awareness about the importance of remote health monitoring. With the increasing prevalence of chronic diseases, there is a heightened focus on continuous health tracking, making connected biosensors a valuable tool for individuals and healthcare providers alike. Moreover, the integration of technology and healthcare in Burundi is further propelling the adoption of these devices.

Local special circumstances: In Burundi, the limited access to healthcare facilities in remote areas is a significant factor driving the adoption of connected biosensors. These devices allow individuals in underserved regions to monitor their health parameters without the need for frequent visits to healthcare centers. Additionally, the affordability and accessibility of connected biosensors make them a practical solution for a population that may face challenges in accessing traditional healthcare services.

Underlying macroeconomic factors: The economic landscape in Burundi, characterized by a growing middle-class population and increasing disposable income, is contributing to the expansion of the Connected Biosensors market. As more individuals in the country have the financial means to invest in healthcare technology, the demand for smart health monitoring devices is expected to continue rising. Additionally, government initiatives focusing on improving healthcare infrastructure and services are creating a conducive environment for the growth of the connected biosensors market in Burundi.

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.