Cell Separation Technologies Companies | Technological Advancements | Value Creation | Cross-border Expansion | Patent Expansions | Market Trends Analysis

Top Companies in the Cell Separation Technologies Market

The global cell separation technologies market size is calculated at USD 15.84 billion in 2024, grew to USD 18.32 billion in 2025, and is projected to reach around USD 67.75 billion by 2034. The market is expanding at a CAGR of 15.64% between 2024 and 2034.

The top companied in cell separation technologies are Akadeum Life Sciences, Becton, Dickinson and Company, Bio-Rad Laboratories, Inc., Bristol Myers Squibb, Cellares, Duoning Biotechnology Group, Danaher Corporation, GE Healthcare, Merck, Miltenyi Biotec, STEMCELL Technologies, Terumo Corporation and Thermo Fisher Scientific.

Latest Announcements by Industry Leaders

Xavier De Mollerat Du Jeu, Senior Director of Research and Development, Thermo Fisher Scientific commented that manual processes can reduce scalability and accessibility due to increased demand for cell therapies for patients. Hence the company collaborated with Multiply Labs to automate cell expansion and separation in cell therapy manufacturing. He also added that the company aims to bring incubator partnerships to the next level to deliver a fully automated GMP product and engineer the automation of their latest-generation closed system centrifuge.

Recent Developments in the Cell Separation Technologies Market

• In February 2024, researchers from MIT and the Singapore-MIT Alliance for Research and Technology developed a microfluidic cell sorter that can remove about half of the undifferentiated that could potentially become tumors. The device can improve the safety and effectiveness of cell therapy treatments for patients suffering from spinal cord injuries.
• In January 2024, Akadeum Life Sciences announced the launch of its Buoyancy-Activated Cell Sorting (BACS) microbubble technology for a faster cell separation process, enhanced cell recovery, automated manual steps, improving sample processing robustness, and reduced cell exhaustion.

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