Report ID: UCMIG35A2365
Report ID:
UCMIG35A2365 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
In 2018, the global ovarian cancer diagnostics market size was estimated to be USD 1.2 billion, and it is projected to expand at a compound annual growth rate (CAGR) of 6.2% during the forecast period. The market growth is expected to be fueled by the rising incidence of ovarian cancer and the growing emphasis on early detection and treatment. Ovarian cancer has the highest mortality rate among gynecologic cancers as of 2018. In the United States, it resulted in nearly 14,000 deaths that year. The disease has nonspecific symptoms, including bloating, irregular menstrual cycles, vaginal bleeding, indigestion, and fatigue, which make early detection increasingly challenging.
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: UCMIG35A2365