High Content Screening Market

Report Overview

The global high content screening market was pegged at US$ 1.1 billion in 2021 and is expected to witness a CAGR of 8.6% during the forecast period.

Market Fundamentals 

High Content Screening (HCS) or Cellomics is a technique used to find new drug candidates in biological research and drug discovery. In order to store and analyse biological data, high content screening systems combine digital microscopy and flow cytometry with IT systems. For the characterization of preclinical drugs, high content screening techniques have shown to be an incumbent tool. This technology frequently interacts with a variety of other uses, such as drug development and manufacturing. In the upcoming years, HCS and chemical genetics will likely be used more frequently for the study of biological systems. Moreover, all aspects of drug research, toxicity testing, and evaluation of absorption, distribution, metabolism, and excretion have been brought together by high content screening. In addition, expanding biotechnology research and drug development activities offer tremendous growth potential.

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Market Dynamics

The demand for affordable and efficient drug discovery methods is being fueled by the rising prevalence of chronic and neurodegenerative illnesses including Parkinson's and Alzheimer's disease. This in turn has a favourable impact on the market. In addition, the pharmaceutical industry's growing need for affordable drug discovery tools is bolstering market expansion. Leading manufacturers are also concentrating on the development of cutting-edge technology and novel equipment combined with artificial intelligence (AI) systems, which is anticipated to drive market expansion.

Market Ecosystem

The global high content screening market has been analysed in four perspectives by technology, application, end user and region.

High Content Screening Market by Technology

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Based on technologya, the global high content screening market has been segmented into consumables, microplates, instruments, software, and service. The segment for instruments, which currently holds the greatest market share, is anticipated to grow at the highest CAGR throughout the forecast period. The huge share of this market might be attributed to the high cost of HCS equipment as well as improvements in instrumentation and automation methods. The use of features like LED light engines, which reduce intensity variations and hence eliminate the need to switch to external lighting sources, contributes to the cost efficiency. The introduction of filter sets, auto-focus techniques, and effective lighting sources, among other innovations, contributed significantly to the market expansion.

High Content Screening Market by Application 

Based on application, the global high content screening market has been segmented into primary & secondary screening, compound profiling, and target identification & validation. Target identification and validation segment shall hold the largest market share during the forecast period. The market is anticipated to be driven over the coming years by a rising preference for high-content screening for cell imaging and analysis. The use of high-content screening technology in the cell imaging and analysis processes used in the discovery and development of new drugs further contributes to the high revenue share.

High Content Screening Market by End User

Based on end user, the global high content screening market has been segmented into contract research organizations, pharmaceutical & biotechnology companies, and academic and research institutes. The pharmaceutical & biotechnology company segment holds the largest share in the market. HCS is widely used in preclinical and clinical research by the biotechnology and pharmaceutical sectors, which accounts for its market domination. High-content screening was first developed as a prospective analytical technique to speed up key crucial steps in the drug development process about 20 years ago.

High Content Screening Market by Region

North America held the greatest share of the global market due to prime growth factors such as rising rates of chronic diseases, an ageing population, numerous research institute collaborations, high disposable income, and sophisticated healthcare infrastructure. Additionally, the market expansion in this region was fueled by an increase in mergers and acquisitions as well as greater awareness. However, Asia Pacific is predicted to have the fastest growth over the forecast period as a result of rising disposable income, expanding demand for novel pharmaceuticals, growing patient awareness of the technologies coupled with improved healthcare infrastructure. Furthermore, over the forecast period, the high content screening market in this region is anticipated to increase significantly owing to new market entrants who will benefit from less competition.

Competitive landscape

Some of the prominent players in the global high content screening market include

• PerkinElmer Inc.
• Thermo Fisher Scientific
• Bio-Rad Laboratories
• Becton Dickinson and Company 
• GE Healthcare 
• Merck KGaA 
• Cell Signaling Technology 
• Thorlabs, Inc. 
• Genedata AG 
• Yokogawa Electric Corporation 
• Danaher Corporation 
• Agilent Technologies

To expand their product portfolio, the major market players are concentrating on the introduction of new offerings. For instance, in January 2020, new workstations and the Opera Phenix Plus High Content Screening System were introduced by PerkinElmer, Inc. at the SLAS2020 International Conference and Exhibition in California.

Strategic development 

• In December 2019, Olympus introduced the scanR HCS station, a cell imaging solution that makes use of AI to facilitate the next generation of biological research. It combines automation, speed, throughput, and reproducibility of HCS applications with the modularity and adaptability of a microscope-based solution.
• In March 2019, researchers from Digital Biomedical Imaging Systems AG processed and analyzed HCS datasets using specially developed heuristic algorithms implemented in popular open-source image analysis software in order to find chemical modifiers of glomerular cyst formation in a zebrafish model for human cystic kidney disease. 

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