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The global High Content Screening Market is estimated to be valued at US$ 1,847.2 Mn in 2023 and is expected to exhibit a CAGR of 5.8% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.
Market Overview:
High content screening refers to cell imaging techniques that are used to observe, measure and analyze multiple parameters within cells. These techniques enable studying cells visually and quantitatively, allowing measurement of hundreds and thousands of features from each cell. They are used in various drug discovery and research applications.
Market key trends:
One of the key trends in the high content screening market is the adoption of artificial intelligence and machine learning technologies. Vendors are increasingly integrating AI and ML capabilities into their high content screening systems to automate various processes like image acquisition, analysis and data extraction. This is helping to improve throughput and productivity. Another major trend is the development of multi-parameter assays for advanced applications like neuroscience and 3D cell cultures. Vendors are focusing on techniques like live cell imaging to gain more physiologically relevant readouts from complex 3D models of tissues. Such advances are supporting diverse research in fields of immunology, oncology and infectious diseases.
Market Key Trends:
The high content screening market has been witnessing rising adoption of advanced microscopy solutions for cell-based assays. Manufacturers are focusing on developing novel platforms integrated with various technologies such as AI and machine learning. This is expected to offer increased throughput and performance needed for complex cell biology and multi-parametric settings. Growth in pharmaceutical and biotechnology industries has also fueled the demand for high-throughput screening solutions to expedite drug discovery processes.
SWOT Analysis
Strength: Automated high content screening platforms offer high throughput screening capabilities for analyzing thousands of samples simultaneously. This improves efficiency and productivity of research activities.
Weakness: High setup and installation costs of high content screening solutions limit their adoption, particularly among small labs and research facilities.
Opportunity: Incorporation of machine learning and artificial intelligence can help derive novel insights from massive imaging data generated through high content screening. This will further augment research productivity.
Threats: Presence of alternative techniques such as flow cytometry and gene expression profiling can substitute high content screening to some applications. Rising costs of reagents and consumables also pose challenges.
Key Takeaways
The global High Content Screening market is expected to witness high growth, exhibiting CAGR of 5.8% over the forecast period, due to increasing R&D expenditures in pharmaceutical and biotechnology industries.
Regional analysis: North America dominates the global high content screening market led by significant investments in drug discovery and presence of major market players in the region. The market in Asia Pacific is anticipated to grow at fastest pace during the forecast period led by increasing government focus on healthcare technologies in developing nations such as China and India.
Key players operating in the high content screening market are Becton, Dickinson and Company, Thermo Fisher Scientific Inc., GE HealthCare, Olympus Corporation, PerkinElmer Inc., Merck Millipore Corporation, Danaher, Yokogawa Electric Corporation, Sysmex Corporation, and Thorlabs, Inc.
