Report Overview

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

Market Fundamentals 

High Content Screening (HCS) or Cellomics is a technique used to find new drug compounds in biological research and drug discovery. To store and analyze 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 coming years, HCS and chemical genetics are likely to 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 revenue growth potential.

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Market Dynamics

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

Market Ecosystem

The global high-content screening market has been analyzed from four perspectives: technology, application, end user, and region.

High Content Screening Market by Technology

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Based on technology, the global high-content screening market is segmented into consumables, microplates, instruments, software, and service. 

The instruments segment accounts for the largest market revenue share, and it is expected to register the highest CAGR during the forecast period. The huge revenue share of this segment can 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 the intensity variations and hence eliminate the need to switch to external lighting sources, contributes to its cost efficiency. The introduction of filter sets, auto-focus techniques, and effective lighting sources, among other innovations, are likely to contribute significantly to the market revenue growth.

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. 

The target identification and validation segment will hold the largest market revenue share during the forecast period. The market revenue growth is expected to be driven by the rising preference for high-content screening for cell imaging and analysis leading to the use of high-content screening technology in the cell imaging and analysis processes for the discovery and development of new drugs in the market.

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 & research institutes. 

The pharmaceutical & biotechnology company segment holds the largest revenue share of the market. HCS is majorly used in preclinical and clinical research by the biotechnological and pharmaceutical sectors, which accounts for its market domination. About 20 years ago, high-content screening was designed as a prospective analytical technique to accelerate the most important steps in the drug development process.

High Content Screening Market by Region

Based on region, the global high-content screening market has been segmented into North America, Asia Pacific, and the Rest of the World. 

North America accounts for the greatest revenue share of the global market due to prime growth factors such as rising rates of chronic diseases, an aging population, collaborations of numerous research institutes, high disposable income, and advanced healthcare infrastructure. Additionally, the market revenue growth in this region was fuelled by an increase in mergers and acquisitions as well as greater awareness. 

The Asia Pacific high content screening market is expected to register the fastest revenue growth over the forecast period because of the rising disposable income, expanding demand for novel pharmaceuticals, and greater patient knowledge of the technologies coupled with enhanced healthcare infrastructure. Furthermore, the high-content screening market revenue growth in this region is will increase significantly owing to new market entrants who will benefit from less competition.

Competitive landscape

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 microscope 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 to identify the chemical regulators of glomerular cyst formation in a zebrafish model for human cystic kidney disease. 

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