Report ID: UCMIG35A2547
Report ID:
UCMIG35A2547 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The market for 3D printed brain models was estimated to be worth USD 24.4 million in 2020 and is projected to increase at a CAGR of 16.3% from 2021 to 2028. The COVID-19 pandemic had a negative impact on the market in 2020 because it delayed neurological surgeries and limited the financial resources available to health organisations, which in turn hindered investment in cutting-edge technologies. The market has also been badly impacted by the economic slowdown, lockdowns in several locations that have disrupted the supply chain, and the closure of a few market participants. The American College of Surgeons and Neurosurgeons conducted a survey with a total of 494 participants from 60 different countries.
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: UCMIG35A2547