Asia-Pacific eHealth market is projected to grow at a significant CAGR of around 10.6% during the forecast period (2020-2026). The major factors driving the market growth in the region includes the increasing government spending on healthcare infrastructure and the presence of a huge patient base of chronic diseases, such as CVD and cancer. The rise in demand for early diagnosis services, and penetration of IT companies in the region will further boost the market growth in Asia-Pacific. To improve the efficiency of EHRs, China is going to develop Regional Healthcare Information Networks. It will allow communities to share information via central data centers. This addition of EHRs in region will grow the market in near future.
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The eHealth integrated with AI serves as an opportunity in developing nations, as it speeds up the diagnosis and automating elements of care delivery. However, there are some challenges for the adoption of AI technology in the healthcare system of the Asia-Pacific region. One of the major challenges is the shortage of skills; though there is a much-needed relief to the shortages of doctors with AI, it increases the demand for another human capital such as the need for medical professionals trained in AI and data science to interpret healthcare data. This challenge can be overcome by investing in these specialist skillsets for medical education and training for having future-proof healthcare systems in the region.
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Key questions addressed by the report
- What is the market growth rate during the forecast period?
- Which segment/region dominates the market in base year?
- Which segment/region will project fastest growth in the market during the forecast period?
- How COVID-19 will impact the market growth in 2020 and coming years?
Ø Recovery Timeline
Ø Deviation from pre-COVID
Ø Most affected segment/region
Ø Recommendations
- Who is the leader in the market?
- How players are addressing challenges to sustain growth?
- Where is the investment opportunity?
Asia-Pacific eHealth Market – Segmentation
By Type
- Electronic Health Records (EHR)
- Telemedicine
- Health Information System (HIS/HIE)
- mHealth
- Clinical Decision Support System (CDSS)
- Others (e-Prescribing and Laboratory Information System)
By End-User
- Healthcare Providers
- Healthcare Consumers
- Others (Pharmacies)
(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)
