Digital Health - Tanzania

  • Tanzania
  • The revenue in the Digital Health market of Tanzania is projected to reach US$171.00m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 7.11%, resulting in a projected market volume of US$241.10m by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$22.89.
  • In global comparison, the country generating the most revenue will be United States, with US$47,120.00m in 2024.
  • The largest market within the Digital Health market in Tanzania will be Digital Treatment & Care, with a total revenue value of US$88.21m in 2024.
  • In Tanzania, the digital health market is rapidly growing, with a focus on mobile health solutions for remote areas.

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

 
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Analyst Opinion

The Digital Health market in Tanzania is experiencing significant growth and development, driven by various factors shaping the healthcare landscape in the country.

Customer preferences:
Customers in Tanzania are increasingly turning to digital health solutions for convenience, accessibility, and cost-effectiveness. The demand for online doctor consultations is on the rise as people seek quick medical advice without the need to physically visit a healthcare facility. Additionally, the digital fitness and well-being sector is gaining traction as individuals become more health-conscious and look for ways to monitor and improve their well-being using technology.

Trends in the market:
In Tanzania, there is a noticeable trend towards the adoption of digital treatment and care services, particularly in remote areas where access to traditional healthcare facilities is limited. Mobile health applications and telemedicine platforms are becoming more popular, allowing patients to receive diagnosis, treatment, and monitoring remotely. This trend is driven by the increasing penetration of smartphones and internet connectivity across the country, making digital health solutions more accessible to the population.

Local special circumstances:
One of the key special circumstances influencing the Digital Health market in Tanzania is the country's vast rural areas with limited healthcare infrastructure. This geographical challenge has created a demand for innovative healthcare solutions that can reach underserved populations. Digital health technologies are bridging the gap by providing virtual consultations, remote monitoring, and health education to individuals in remote areas, improving healthcare access and outcomes.

Underlying macroeconomic factors:
The growing middle-class population in Tanzania, coupled with increasing smartphone penetration and internet connectivity, is fueling the expansion of the Digital Health market. As disposable incomes rise and technology becomes more ubiquitous, more Tanzanians are willing to invest in digital health solutions to enhance their overall well-being. Additionally, government initiatives to promote digital healthcare and improve healthcare access in the country are creating a conducive environment for the growth of the market.

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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