U.S. Biosimilars Market by Drug Class (Filgrastim & Pegfilgrastim, Monoclonal Antibodies, Others), by Disease Indication (Cancer, Autoimmune Diseases {Arthritis, Psoriasis, Neutropenia, Others}, Others), by Distribution Channel (Hospital Pharmacies, Retail Pharmacies, Online Pharmacies), by Forecast 2024-2032
The U.S. Biosimilars Marketsize was valued at USD 6.73 USD billion in 2023 and is projected to reach USD 25.85 USD billion by 2032, exhibiting a CAGR of 21.2 % during the forecast period. Biosimilars are biologic medical products highly similar to already approved reference biologics, with no significant differences in safety, purity, or potency. Types include monoclonal antibodies, growth factors, hormones, and therapeutic proteins. Key features encompass rigorous comparability testing to ensure efficacy and safety, potential for cost reduction in healthcare, and regulatory approval through pathways like the EMA or FDA. Applications span various therapeutic areas, including oncology, autoimmune diseases, and chronic conditions like diabetes. By offering more affordable alternatives to expensive biologics, biosimilars enhance patient access to essential treatments, potentially improving health outcomes and contributing to more sustainable healthcare systems.
U.S. Biosimilars Trends
Drug Class:
Disease Indication:
Distribution Channel:
This report provides a comprehensive analysis of the U.S. biosimilars market, including:
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 21.2% from 2018-2032 |
Segmentation |
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Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 21.2% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
Primary Research
Secondary Research
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
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