Digital Health - Mongolia

  • Mongolia
  • The Digital Health market in Mongolia is expected to generate a revenue of US$18.62m by 2024.
  • This projection indicates an annual growth rate (CAGR 2024-2029) of 8.76%, resulting in a market volume of US$28.33m by 2029.
  • The average revenue per user (ARPU) is estimated to be US$33.22.
  • In comparison to other countries, United States is anticipated to dominate the market with a revenue of US$47,120.00m by 2024.
  • Among the various markets, Digital Fitness & Well-Being is expected to be the largest market, with a total revenue value of US$8.44m in 2024.
  • Mongolia's digital health market is rapidly growing, driven by increased government investments in telemedicine and remote healthcare services.

Key regions: United States, China, Japan, Asia, Europe

 
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Analyst Opinion

The Digital Health market in Mongolia is experiencing a significant growth trajectory, driven by various factors that cater to the evolving needs of consumers in the country.

Customer preferences:
In Mongolia, there is a growing preference for digital fitness and well-being solutions as individuals seek convenient ways to track their health and fitness goals. Online doctor consultations are also gaining popularity, especially in remote areas where access to healthcare services is limited. Additionally, the digital treatment and care segment is witnessing increased adoption as patients look for efficient and cost-effective ways to manage their health conditions.

Trends in the market:
One of the notable trends in the Mongolian Digital Health market is the rise of mobile health applications that offer personalized fitness plans, symptom checkers, and medication reminders. These apps are resonating well with tech-savvy consumers who value the convenience of accessing healthcare services on their smartphones. Moreover, virtual doctor consultations are becoming more common, providing patients with the opportunity to receive medical advice without the need for in-person visits. This trend is particularly beneficial for individuals residing in rural areas with limited healthcare facilities.

Local special circumstances:
Mongolia's vast geography and nomadic population present unique challenges for the healthcare sector. The Digital Health market in Mongolia is addressing these challenges by leveraging technology to bridge the gap between healthcare providers and patients, regardless of their location. The nomadic lifestyle of some Mongolians necessitates innovative solutions that can deliver healthcare services remotely, making digital health platforms a valuable resource for the population.

Underlying macroeconomic factors:
The increasing internet penetration and smartphone adoption rates in Mongolia are key macroeconomic factors driving the growth of the Digital Health market. As more people gain access to digital devices and the internet, the demand for online health services is expected to rise. Additionally, the government's initiatives to promote telemedicine and digital healthcare solutions are creating a conducive environment for the expansion of the Digital Health market in Mongolia.

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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