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Automated cell counters are advanced cell counting devices that are utilized in laboratory settings for efficiently counting and analyzing cells. They offer precise and accurate cell counts within a short period through specialized techniques such as image analysis, flow cytometry, spectrophotometry, and impedance. These properties make them highly suitable for various cell-based research activities such as cell proliferation assays, cytotoxicity testing, and quality control testing. Rising demand for advanced techniques in pharmaceutical and biotechnology research has significantly boosted the demand for automated cell counters.
The Global Automated Cell Counters Market is estimated to be valued at US$ 3.75 Bn in 2024 and is expected to exhibit a CAGR of 7.0% over the forecast period 2023 to 2030. Advancements in miniaturization technology are a major growth driver in this market.
Key Takeaways
Key players operating in the Automated Cell Counters are Thermo Fisher Scientific, Danaher Corporation, Agilent Technologies, PerkinElmer Inc., Bio-Rad Laboratories, BD, Merck KGaA, Logos Biosystems, Corning Incorporated, Tecan. These players are focusing on new product launches and partnerships to gain a competitive edge in the market.
The growing cell-based research activities across various industry verticals are driving the demand for automated cell counters. Pharmaceutical and biotechnology companies are extensively using these devices for drug discovery and development.
Geographically, North America dominates the automated cell counters market. However, Asia Pacific is expected to witness the highest growth during the forecast period due to increasing investments in healthcare infrastructure and biomedical research in the region.
Market Key Trends
One of the key trends gaining traction in the automated cell counters market is miniaturization of devices. Various players are developing highly miniaturized and portable cell counters to increase their accessibility across different laboratory settings. For instance, Logos Biosystems recently launched Ncount, a fully automated cell counter device that weighs less than 1 kg. Such innovative products are supporting point-of-care applications of automated cell counting.
Another notable trend is the integration of artificial intelligence (AI) and machine learning capabilities in automated cell counters. AI-assisted cell counting offers higher accuracy by learning complex patterns in huge datasets. Thermo Fisher Scientific provides AI-powered cell counting solution with its Cellinsight CX7 high-content cellular imaging and analysis platform. Such advanced analytical features are boosting the adoption of automated cell counters.
Porter’s Analysis
Threat of new entrants: New players need to invest heavily in R&D, infrastructure, building brand image to enter this market.
Bargaining power of buyers: Buyers have moderate bargaining power as some of the key end-users are healthcare institutions.
Bargaining power of suppliers: Suppliers have low to moderate bargaining power as they depend on big automated cell counters manufacturing companies.
Threat of new substitutes: Threat of substitute is moderate to low as there are limited substitutes for automated cell counters in research, diagnostic and pharmaceutical applications.
Competitive rivalry: Market has few large and mid-size players offering variety of automated cell counters.
The geographical region where the value of automated cell counters market is highly concentrated is North America. The region accounts for over 40% market share due to favorable government initiatives and developed healthcare infrastructure.
Asia Pacific region is expected to witness the fastest growth during the forecast period. This is attributed to factors such increasing healthcare expenditure, rising awareness about personalized medicine, growing number of research activities and technological advancements in countries such as China, India and Japan.
*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
