Report ID: UCMIG35H2045
Report ID:
UCMIG35H2045 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The global market for mammalian polyclonal IgG antibodies was valued at USD 1.13 billion in 2022 and is expected to grow at a CAGR of 5.01% from 2023 to 2030, driven by various factors such as advantages over other forms of antibodies, increasing investments in research and development, and the adoption of novel diagnostic methods. A recent example of this growth is the use of XAV-19, a glycol-humanized polyclonal antibody by Xeno Thera to treat COVID-19. The product has been under clinical trials since 2020 and has shown positive results with over 700 patients participating. Polyclonal antibody-based treatment has demonstrated increased recovery rates and has not raised any safety concerns.
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 Biotechnology by segment aggregation, the contribution of the Biotechnology in Pharmaceuticals, Biotechnology & Life Sciences 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: UCMIG35H2045