Digital Market Outlook: UK eHealth hypertension solutions ARPU 2020

The graph presents the eHealth hypertension solutions segment ARPU in the United Kingdom in 2014 and 2015, and provides a forecast thereof until 2020. Average revenue per user in the eHealth hypertension solutions segment is expected to decrease from 138.1 U.S. dollars in 2014 to 92.7 U.S. dollars in 2020. An overview of all Digital Markets can be found here.
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Average revenue per user (ARPU) of eHealth solutions for hypertension in the United Kingdom (UK) from 2014 to 2020 (in U.S. dollars)

Characteristic	ARPU in U.S. dollars
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Release date

February 2016

More information

Region

United Kingdom

Survey time period

2015

Supplementary notes

* Estimate.

The Hypertension segment covers the user and revenue development for three eHealth product categories for people with hypertension: (1) connected medical devices designed for hypertension patients to use at home (“Smart Devices”), (2) digital hypertension applications for smartphone and/or tablets (“Apps”) and (3) telemedical services for hypertension patients (“Telemedical Services”). Hardware and software solutions for healthcare professionals, e.g. medical equipment for hospitals and doctors’ surgeries are not included.

The “Smart Devices” segment covers medical hypertension devices (hardware) which are equipped with dedicated interfaces or SIM cards that serve to transmit measurement data across a wireless connection (e.g. via mobile networks, WiFi, bluetooth, M2M technologies, NFC, BLE). For example, connected blood pressure monitors like the iHealth Wireless Blood Pressure Monitor or the Bluetooth Blood Pressure Monitor by Omron, which may send measurement data to a smartphone to be synchronized with an app. If there is an increased monitoring need, the data can also be sent to a telemedical service center. Depending on the measuring system, additional hardware revenues can fall under this market segment if additional reading or transmitting devices are implemented.
Further information on methodology can be found here.

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