Deployment Model (On-Premise, Cloud-Based)
The revenue cycle management market is segmented and analyzed for demand and supply by deployment model into on-premise and cloud-based. Out of the two types of deployment models of revenue cycle management, the cloud-based segment is estimated to gain the largest market share of about ~70% in the year 2036. The growth of the segment can be attributed to the growing reliability of the healthcare sector on cloud-based services and cloud computing owing to their flexibility and increased performance and efficiency that helps to lower overall IT costs. According to a survey, more than 82% of healthcare organizations were already using cloud services worldwide and these cloud infrastructure services are surging with each passing year.
End-user (Hospitals, Specialty Clinics, Laboratories)
The global revenue cycle management market is also segmented and analyzed for demand and supply by end-user into hospitals, specialty clinics, laboratories, and others. Amongst these given segments, the hospital segment is expected to garner a significant share of around ~54% in the year 2036. The growth of the segment can be attributed to the radically expanding global healthcare infrastructure with the burgeoning pool of patients worldwide. Moreover, the increasing focus of hospitals to improve financial viability, transparency, and profitability together with the provision of advanced medical facilities to their patients is expected to boost the market growth within this segment. On the other hand, the specialty clinic segment is projected to witness a massive CAGR during the forecast period, owing to the growing popularity of these clinics with supporting factors like increasing disposable income and rising demand for convenient and better treatment. This, as a result, is anticipated to create numerous opportunities for the growth of the segment in the coming years.
Our in-depth analysis of the global revenue cycle management market includes the following segments:
By Deployment Model |
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By Service |
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By End-User |
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Author Credits: Abhishek Verma
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