April 18, 2024

The global Cell Surface Markers Detection Market is estimated to Propelled by increasing disease diagnosis

The global cell surface markers detection market aids in disease diagnosis and monitoring. Cell surface markers help identify different types of cells and are vital in cancer diagnosis and immune disorders. Cell surface markers detection technologies assist in accurate disease diagnosis, monitoring disease progression, and determining appropriate treatment options. The global cell surface markers detection market provides technologies like flow cytometry, next-generation sequencing, and polymerase chain reaction for cell surface marker analysis.

The global cell surface markers detection market is estimated to be valued at US$ 5,459.5 Mn in 2023 and is expected to exhibit a CAGR of 9.1% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

Increasing disease diagnosis is a major trend propelling the cell surface markers detection market growth. Cell surface markers play a crucial role in disease diagnosis, especially in cancer. Around 70% of all cancers are diagnosed based on the unique patterns of cell surface marker expression. Technologies for cell surface marker detection aid physicians in accurate cancer diagnosis by cell type, stage of the cancer, and prognosis. This trend is expected to continue as more diseases start relying on cell surface marker analysis for diagnosis and monitoring, driving the demand for cell surface markers detection technologies over the forecast period.

SWOT Analysis

Strength: Cell surface markers detection can identify specific cell types and their functions in healthy and diseased states. This helps doctors diagnose diseases and monitor treatment responses accurately.

Weakness: Significant development time and costs are required to validate and commercialize new cell surface markers. Limited markers are currently available for certain rare diseases.

Opportunity: Growing focus on personalized medicine is boosting research to discover novel markers. Expanding applications in cancer immunotherapy and stem cell therapy present opportunities.

Threats: Stringent regulations can delay the approval of new markers. Alternative techniques like genomics may gain traction.

Key Takeaways

The global cell surface markers detection market is expected to witness high growth over the forecast period of 2023 to 2030. Cell surface markers detection plays a vital role in disease diagnosis and treatment monitoring. The market growth can be attributed to factors such as increasing R&D funding for personalized medicine, rising cancer incidence, and growing stem cell therapy applications. The global cell surface markers detection market is estimated to be valued at US$ 5,459.5 Mn in 2023 and is expected to exhibit a CAGR of 9.1% over the forecast period 2023 to 2030.

North America currently dominates the market, led by the United States, owing to well-established healthcare infrastructure and presence of leading market players in the region. Europe holds the second largest share and is projected to grow at a steady rate during the forecast period. Asia Pacific is likely to be the fastest growing market, driven by improving healthcare facilities, rising healthcare spending, and increasing awareness about genetic disorders in the region.

Key players operating in the cell surface markers detection market are Grifols SA, Abbott Laboratories, Sysmex Corporation, Agilent Technologies Inc., Nexcelom Bioscience, Thermo Fisher Scientific Inc., Siemens Healthineers, Nihon Kohden Corporation, F. Hoffmann-La Roche Ltd., Bio Rad Laboratories Inc., Becton, Dickinson and Company (BD), Qiagen NV, Diasorin SpA (Luminex Corporation), Danaher Corporation (Beckman Coulter Inc.), and IVD Medical Holding Limited (Immucor Inc.), among others. These companies are focusing on new product launches and strategic acquisitions to strengthen their market position.


  1. Source: Coherent Market Insights, Public sources, Desk research
  2. We have leveraged AI tools to mine information and compile it

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