Report ID: UCMIG35A2479
Report ID:
UCMIG35A2479 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The global ECG patch and holter monitors market reached a significant valuation of USD 1.2 billion in the year 2022. Projections for the future indicate a promising growth trajectory, with an estimated compound annual growth rate (CAGR) of 19.58% from 2023 to 2030. This upward trend can be attributed to various factors such as increasing prevalence of cardiovascular diseases, rising awareness regarding remote patient monitoring, and advancements in wearable medical technologies. The ECG patch and holter monitor industry is anticipated to witness substantial expansion, driven by the growing demand for non-invasive and convenient cardiac monitoring solutions worldwide.
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: UCMIG35A2479