Report ID: UCMIG35A2451
Report ID:
UCMIG35A2451 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The market for dual and multiple energy computed tomography was valued at USD 859.2 million globally in 2022, and it is anticipated to increase at a CAGR of 7.3% from 2023 to 2030. The medical and Health Care sector is expected to benefit from the growing older population brought on by higher life expectancies, particularly in high-income countries. Demand for dual and multi-energy CT techniques is also being driven by rising patient expectations for the quality of care, which is accelerating the market's expansion overall. CT scans are frequently used to find lung cancer in older people who have smoked in the past. Coronavirus mass screening and diagnosis are greatly aided by CT methods.
This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.
Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.
The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Health Care Equipment by segment aggregation, the contribution of the Health Care Equipment in Health Care Equipment & Services and vendor share.
To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.
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Report ID: UCMIG35A2451