Component (Services, Software, Hardware)
Services segment is projected to dominate around 52.5% AI in life science analytics market share by the end of 2037 owing to rising demand for installation and maintenance of AI in life sciences. Life science organizations generate a high volume of data from various sources such as genomics, clinical trials, and electronic health records, this complex data requires advanced research and proper maintenance, leading to a high need for effective service providers.
End use (Pharmaceutical & Biotech Companies, Medical Device Manufacturers, Contract Research Organizations)
By the end of 2037, pharmaceutical & biotech companies segment is expected to hold over 50.5% AI in life science analytics market share. The advanced AI and ML algorithms are effective in analyzing the data generated and in accelerating the drug discovery process. These technologies can offer reliable information on which chemical compounds and biologics to rely on for potential drug designs. This increases their adoption in the pharma and biotech companies. Their effective approach to tailoring personalized treatments is further driving their use in pharma and biotech organizations.
Our in-depth analysis of the AI in life science analytics market includes the following segments
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Author Credits: Abhishek Verma
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