Report ID: UCMIG35G2089
Report ID:
UCMIG35G2089 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The global cyberKnife market, with a valuation of USD 451.4 million in 2022, is projected to witness significant growth over the forecast period from 2023 to 2030. This growth is expected to be driven by a compound annual growth rate (CAGR) of 18.7%. The cyberKnife technology, a non-invasive robotic radiosurgery system, offers precise tumor targeting and treatment, making it a preferred choice among Health Care providers and patients alike. Factors such as the rising prevalence of cancer, increasing adoption of advanced radiation therapy techniques, and technological advancements in the field of medical devices are anticipated to fuel the market's expansion.
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 Technology by segment aggregation, the contribution of the Health Care Technology 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: UCMIG35G2089