Connected Biosensors - Eastern Asia

Eastern Asia

Highlights

In Eastern Asia, the revenue in the market Connected Biosensors is projected to reach US$5.40bn in 2024.
It is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 6.44%, resulting in a projected market volume of US$7.37bn by 2029.
The user penetration is estimated to be 4.00% in 2024 and is anticipated to increase to 4.24% by 2029.
The average revenue per user (ARPU) is expected to be US$82.45.
In comparison to other countries worldwide, China is projected to generate the highest revenue, amounting to US$4.49bn in 2024.
In Eastern Asia, the demand for connected biometric sensors in the digital health market is driven by the growing emphasis on preventive healthcare in countries like Japan and South Korea.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Connected Biosensors market in Eastern Asia is experiencing significant growth and innovation, driven by increasing demand for smart healthcare devices and technological advancements in the region.

Customer preferences: Customers in Eastern Asia are increasingly gravitating towards connected biosensors due to the convenience and accuracy they offer in monitoring health parameters. The tech-savvy population in countries like Japan, South Korea, and China are early adopters of smart devices, including smart thermometers, blood glucose meters, and blood pressure meters. The ease of use and ability to track health data in real-time are key factors driving the preference for connected biosensors in the region.

Trends in the market: In Japan, there is a growing trend towards wearable biosensors that seamlessly integrate into daily life. Smart thermometers that can monitor body temperature continuously are gaining popularity, especially among the elderly population and caregivers. Similarly, smart blood glucose meters with features such as data sharing and trend analysis are in high demand among diabetic patients in South Korea. In China, the market for social alarms is expanding rapidly as the aging population seeks devices that can provide immediate assistance in case of emergencies.

Local special circumstances: Eastern Asia is home to some of the world's largest technology companies that are actively investing in the development of connected biosensors. This has led to a competitive market landscape with a wide range of products catering to different customer needs. Additionally, regulatory bodies in countries like Japan and South Korea have stringent requirements for healthcare devices, ensuring high quality and safety standards for connected biosensors in the market.

Underlying macroeconomic factors: The economic prosperity in Eastern Asia has led to increased healthcare spending and a growing focus on preventive healthcare. As disposable incomes rise, consumers are willing to invest in connected biosensors to monitor their health proactively. Furthermore, the presence of a robust manufacturing ecosystem in countries like China has made these devices more affordable and accessible to a larger population, driving market growth in the region.

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.