(PharmaNewsWire.Com, July 02, 2021 ) Artificial intelligence is the simulation of human intelligence in machines which are designed to think similar to humans and copy their activity. This gives potential to change the pharmaceutical industry as well many pharma competitors are now investing in this technology at some level. There is a significant growth in the number of applications which focuses on the target and drug discovery, preclinical and clinical development, and post approval activities. Artificial intelligence will help in developing the drug approval rates, minimize development costs, swift availability of medications and help patients follow with their treatments. The global AI in the drug discovery market has a high demand because of its increasing requirement to shorten the drug discovery process in order to get drugs rapidly for treating various incurable and viral diseases.
The global AI in the drug discovery market is segregated on the basis of Components as Software and Services. Based on Technology the global AI in the drug discovery market is segmented in Machine Learning, Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Other Machine Learning, and Other Technologies. Based on Application the global AI in the drug discovery market is segmented in Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, and Other Applications. Based on End User, the global AI in the drug discovery market is segmented into Pharmaceutical & Biotechnology Companies, Contract Research Organizations, and Research Centers, Academic & Government Institutes.
IBM Corporation, Microsoft Corporation, Google Inc., NVIDIA Corporation, Pfizer, Merck, GSK, Novartis, AstraZeneca, Abbvie, Elli Lilly, Atomwise, Inc, Deep Genomics, Cloud, Pharmaceuticals, Exscientia, Cyclica,Numerate, Envisagenics, OWKIN, Inc.,Verge Genomics and others are the major key players in the global AI in the drug discovery market.
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