CAR-T Cell Therapy Market by Drug Type (Axicabtagene Ciloleucel (Yescarta), by Indication (Acute Lymphoblastic Leukemia, Non-Hodgkin Lymphoma, Multiple Myeloma), by End-user (Hospitals, Oncology Treatment Centers), by North America (U.S., Canada) Forecast 2024-2032
The CAR-T Cell Therapy Market size was valued at USD 2.72 USD billion in 2023 and is projected to reach USD 8.92 USD billion by 2032, exhibiting a CAGR of 18.5 % during the forecast period. Immunotherapy using CAR-T cells is one of the revolutionary treatments that strengthen the body’s response against cancer cells. It includes the manipulation of T cells extracted from a patient and afterward causing the T cells to exhibit chimeric antigen receptors (CARs) that are exact to cancerous tissue antigens therefore permitting the T cells to identify and destroy cancers. There are two primary types: where the cells used are the patient’s cells, and allogeneic where cells from a donor are used. This therapy has excellent specificity as CAR-T cells recognize cancer cells and not healthy tissues. The current research saw its use in different types of cancer especially leukemia and lymphoma with positive outcomes even in the late stages of cancer when other means of treatments do not work.
Drug Type
End-user
The report provides an in-depth analysis of the CAR-T cell therapy market, covering the following aspects:
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 18.5% 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 18.5% 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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