The global flow cytometry market, valued at approximately USD 4.35 billion in 2023, is expected to expand to USD 9.16 billion by 2034. This growth, driven by a compound annual growth rate (CAGR) of 7% from 2024 to 2034, is fueled by the increasing prevalence of cancer, ongoing technological advancements, and the rising focus on research and development in the life sciences field.
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Flow cytometry is an advanced, laser-based technique that helps scientists analyze the physical and chemical properties of cells or particles. It is widely used in the medical field to study bone marrow, blood, and other body fluids. The flow cytometer offers a range of functions, including cell counting, sorting, and assessing cell characteristics and functions. It is also crucial for detecting microorganisms, biomarkers, and identifying cancer cells or immune cells.
This powerful technology plays a vital role in medical applications like transplantation, hematology, tumor immunology, chemotherapy, prenatal diagnosis, neuroscience, genetics, and sperm sorting. The increasing rates of hematological disorders, cancers, and immune system-related diseases are driving the demand for flow cytometry, fueling continued innovation and research in this field.
In September 2024, Biotium expanded its NucSpot Nuclear Stains product line, offering researchers enhanced specificity and flexibility for nuclear counterstaining. These dyes, which target the nucleus and are membrane-impermeable, are especially useful for live cell cycle profiling using flow cytometry.
In May 2024, Agilent Technologies, Inc. introduced the NovoCyte Opteon Spectral Flow Cytometer. This cutting-edge tool is designed to acquire, analyze, and report flow data, supporting a wide range of applications from basic research to drug discovery and therapy development.
In March 2024, Beckman Coulter Life Sciences received FDA 510(k) clearance to distribute its DxFLEX clinical flow cytometer in the U.S. The system features advanced avalanche photodiode (APD) detector technology, allowing for larger antibody panels and simplifying data compensation.
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