The global eHealth software and services market is estimated to be valued at US$ 293.9 Billion in 2023 and is expected to exhibit a CAGR of 11.8% during the forecast period (2023-2030).
Figure 1. Global eHealth Software and Services Market Share (%), by Type, 2023
Global eHealth Software and Services Market– Driver
Increasing prevalence of chronic disorders
The increasing prevalence of chronic diseases, such as cancer, that require the usage of radiological image tracking is expected to drive the market growth over the forecast period, as Radiology Information System (RIS) is used for tracking radiology imaging orders and billing information, and is often used along with Picture Archiving and Communication Systems (PACS) and Vendor Neutral Archives (VNAs) to manage image archives, record-keeping, and billing. For instance, in February 2021, according to a report published by Globocan, a worldwide database of cancer incidence and mortality rates, 19.3 million new cancer cases were reported in 2020 worldwide. Female breast cancer had surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases globally in 2020, followed by lung cancer, colorectal, prostate, and stomach cancers.
Figure 2. Global eHealth Software and Services Market Value (US$ million), by Region, 2023
Global eHealth Software and Services Market- Regional Analysis
Market Trends
Increasing technological advancements by the key market players to develop new cloud-based enterprise imaging platforms are expected to drive the market growth over the forecast period. For instance, in November 2021, Siemens, a technology company, launched its new syngo Carbon enterprise IT platform, a cloud-based platform that includes image and data management, an image viewer, and a storage container to feed in enterprise data from all departments that will serve as an umbrella to allow a single access view for all patient data across an enterprise. Furthermore, the company stated that carbon is also optimized, and thus Artificial Intelligence (AI) functions can be added to enable predictive workflow and an array of new technology applications.
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