Connected Biosensors - ASEAN

  • ASEAN
  • The Connected Biosensors in ASEAN is projected to reach a revenue of US$758.60m by 2024.
  • This market is expected to grow at an annual growth rate (CAGR 2024-2029) of 5.89%, resulting in a projected market volume of US$1,010.00m by 2029.
  • The user penetration is anticipated to be 1.54% in 2024 and is expected to increase to 1.58% by 2029.
  • The average revenue per user (ARPU) is projected to be US$71.12.
  • In comparison to other countries globally, China is expected to generate the highest revenue in the Connected Biosensors, reaching US$4,493.00m in 2024.
  • In the ASEAN region, the demand for connected biometric sensors in the digital health market is rapidly growing due to the increasing focus on remote patient monitoring and personalized healthcare solutions.

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

 
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Analyst Opinion

The Connected Biosensors market in ASEAN is experiencing a significant growth trajectory, driven by the increasing demand for healthcare technology and the rising awareness about personal health monitoring devices.

Customer preferences:
Customers in ASEAN countries are showing a growing preference for smart biosensors due to their convenience, accuracy, and ability to provide real-time health data. The shift towards preventive healthcare measures is encouraging individuals to invest in smart thermometers, smart blood glucose meters, smart blood pressure meters, and social alarms to monitor their health proactively.

Trends in the market:
In Indonesia, there is a noticeable trend towards the adoption of smart blood glucose meters, as the country grapples with a high prevalence of diabetes. The convenience of monitoring blood glucose levels at home is driving the demand for these devices among the diabetic population. Additionally, the Philippines is witnessing a surge in the popularity of social alarms, particularly among the elderly population living alone or in remote areas. These devices offer a sense of security and immediate assistance in case of emergencies.

Local special circumstances:
In Singapore, known for its advanced healthcare infrastructure, there is a strong emphasis on smart thermometers that can seamlessly integrate with telemedicine platforms. The government's initiatives to promote telehealth services have propelled the demand for connected thermometers, allowing patients to monitor their health remotely and consult healthcare providers virtually. Moreover, in Malaysia, the focus is on smart blood pressure meters, given the increasing prevalence of hypertension in the country. The convenience of monitoring blood pressure levels at home is driving the adoption of these devices among individuals seeking to manage their cardiovascular health effectively.

Underlying macroeconomic factors:
The growing middle-class population in ASEAN countries, coupled with rising disposable incomes, is fueling the demand for connected biosensors. As urbanization and digitalization continue to reshape the healthcare landscape in the region, consumers are increasingly turning to smart health monitoring devices as a proactive approach to managing their well-being. Additionally, the advancements in technology and the increasing penetration of smartphones are making connected biosensors more accessible and user-friendly for the tech-savvy population in ASEAN.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
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