Hypertension
in-scope
- Connected medical devices designed for hypertension patients to use at home
- Blood pressure monitoring apps for data collection and self-management of blood pressure values
- Telemedical services for hypertension patients
out-of-scope
- Hardware and software solutions for healthcare professionals, e.g. medical equipment for hospitals
- Advertising-funded apps
Highlights
United States
- Revenue in the segment "eHealth solutions for Hypertension" amounts to US$50m in 2017.
- Revenue is expected to show an annual growth rate (CAGR 2017-2020) of 49.8 % resulting in a market volume of US$245m in 2020.
- User penetration (as a share out of all ill people) is at 1.7 % in 2017 and is expected to hit 4.6 % in 2020.
- The average revenue per user (ARPU) currently amounts to US$108.66.
- From a global comparison perspective it is shown that most revenue is generated in the United States (US$50m in 2017).
Revenue
in the Hypertension market in million US$
Reading Support Revenue in the segment "eHealth solutions for Hypertension" amounts to US$50m in 2017.
User
in the Hypertension market in millions
Reading Support In the segment "eHealth solutions for Hypertension", the number of users is expected to amount to 1.9m by 2020.
ARPU
in the Hypertension market in US$
Reading Support The average revenue per user (ARPU) in the segment "eHealth solutions for Hypertension" amounts to US$108.66 in 2017.
Global Comparison - Revenue
in the Hypertension market in million US$ in 2017
Reading Support With a market volume of US$50m in 2017, most revenue is generated in the United States.
| Top Countries | |
|---|---|
| United States | 1.0 % |
| Denmark | 0.9 % |
| Switzerland | 0.9 % |
| Norway | 0.8 % |
| United Kingdom | 0.8 % |
Key Market Indicators
The following Key Market Indicators give an overview of the demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
CAGR (2014-2020) | ||
|---|---|---|---|---|---|---|---|---|---|
Populationin millions | xxx.x | xxx.x | xxx.x | xxx.x | xxx.x | xxx.x | xxx.x | ||
Householdsin millions | xxx.x | xxx.x | xxx.x | xxx.x | xxx.x | xxx.x | xxx.x | ||
GDP / Capitain US$ | xx,xxx | xx,xxx | xx,xxx | xx,xxx | xx,xxx | xx,xxx | xx,xxx | ||
Internet Penetrationin percent | xx.x | xx.x | xx.x | xx.x | xx.x | xx.x | xx.x | ||
Smartphone Penetrationin percent | xx.x | xx.x | xx.x | xx.x | xx.x | xx.x | xx.x | ||
Health expenditure / Capitain US$ | x,xxx.xx | x,xxx.xx | xx,xxx.xx | xx,xxx.xx | xx,xxx.xx | xx,xxx.xx | xx,xxx.xx | ||
Physicians / 1000 inhabitants | x.xx | x.xx | x.xx | x.xx | x.xx | x.xx | x.xx | ||
Hospital beds / 1000 inhabitants | x.xx | x.xx | x.xx | x.xx | x.xx | x.xx | x.xx | ||
| Source: Statista, December 2015 | |||||||||