Market Insights Digital Digital Health Digital Treatment & Care

Connected Biosensors - South Africa

South Africa

The Connected Biosensors in South Africa is projected to reach a revenue of €152.70m in 2024.
It is expected to experience an annual growth rate (CAGR 2024-2029) of 6.14%, resulting in a projected market volume of €205.70m by 2029.
The user penetration is estimated to be 2.98% in 2024 and is forecasted to increase to 2.98% by 2029.
The average revenue per user (ARPU) in South Africa is expected to be €84.07.
In comparison to other countries, China is anticipated to generate the highest revenue in the Connected Biosensors, reaching €4,123.00m in 2024.
South Africa is witnessing a surge in the adoption of connected biometric sensors in the digital health market, revolutionizing healthcare access and patient monitoring.

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

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Connected Biosensors market in South Africa is witnessing a surge in demand and innovation across various sub-markets.

Customer preferences: Consumers in South Africa are increasingly gravitating towards smart biosensors due to their convenience, accuracy, and ability to provide real-time health data. The preference for connected biosensors is driven by the growing awareness of personal health monitoring and the desire for proactive healthcare management.

Trends in the market: In South Africa, the smart thermometers segment is experiencing significant growth as individuals seek non-invasive and user-friendly devices for monitoring body temperature. Smart blood glucose meters are also gaining traction among diabetic patients for seamless tracking of blood sugar levels. Moreover, the smart blood pressure meters market is expanding as hypertension remains a prevalent health concern in the region. The adoption of social alarms is on the rise, especially among the elderly population and individuals living alone, contributing to the overall growth of the connected biosensors market in South Africa.

Local special circumstances: South Africa's healthcare landscape is characterized by disparities in access to quality healthcare services, particularly in rural areas. Connected biosensors offer a cost-effective solution for remote health monitoring, bridging the gap between healthcare providers and underserved populations. Additionally, the government's focus on digital health initiatives and telemedicine is propelling the adoption of connected biosensors in the country.

Underlying macroeconomic factors: The increasing penetration of smartphones and internet connectivity in South Africa is driving the uptake of connected biosensors, as these devices rely on mobile apps and cloud platforms for data management. Economic factors such as rising disposable income levels and shifting consumer preferences towards preventive healthcare are also fueling the growth of the connected biosensors market in the region. Furthermore, partnerships between technology companies, healthcare providers, and insurance firms are creating a conducive environment for the expansion of connected biosensors in South Africa.

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.