Product (MRI, SPECT, PET, X-RAY, Ultrasound, Tomography, Nuclear Imaging)
The global diagnostic imaging services market is segmented and analyzed for demand and supply by product into MRI, SPECT, PET, X-RAY, ultrasound, tomography, and nuclear imaging, out of which, the X-RAY segment is projected to witness noteworthy growth over the forecast period. The growth of the segment can be accounted to the mounting number of medical examinations across the globe owing to the higher prevalence of multiple diseases and disorders in the modern population. Based on the data provided by the World Health Organization (WHO), it was stated that nearly 3.6 billion medical examinations are performed every year via X-RAY across the globe. Furthermore, the rising prevalence of lung diseases, dental disorders, and bone fractures is estimated to increase the adoption rate of X-ray imaging techniques in the forecast period. Also, the rapid development of advanced diagnostic X-ray system and ongoing technological advancements is anticipated to boost the revenue generation of the segment.
End-user (Imaging Centers, Hospitals)
The global diagnostic imaging services market is also segmented and analyzed for demand and supply by end-user in imaging centers and hospitals. Out of these, the hospital segment is projected to hold the largest share during the forecast period. The major factor attributed to segment growth is owing to the rising number of inpatients and outpatients visiting hospitals daily for checkups and scans which require diagnostic imaging services. Furthermore, the presence of a high number of hospitals across the world and the trust factor associated with the hospitals for consumers is also anticipated to create a positive outlook for segment growth. Massive investments to develop hospital infrastructure along with advancements made in the hospital setting are also expected to contribute positively to segment growth.
Our in-depth analysis of the global market includes the following segments:
By Product |
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By Application |
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By End-User |
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Author Credits: Radhika Pawar
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