Artificial Intelligence (AI) in Drug Discovery Market Growth: Investment Opportunities and Analysis
The Artificial Intelligence (AI) in Drug Discovery Market size was escalated at US$ 722.3 million in 2022, and is projected to reach US$ 11.15 billion by 2030, with a growing CAGR of 40.8% over the forecast period 2023-2030.
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The field of drug discovery has always been a complex and time-consuming process, requiring extensive research, experimentation, and analysis. However, with the advent of artificial intelligence (AI), there is a tremendous potential to revolutionize this industry.
Artificial intelligence in drug discovery refers to the use of advanced algorithms and machine learning techniques to analyze vast amounts of data and predict the effectiveness of potential drug candidates. This technology has the ability to significantly accelerate the drug discovery process, making it more efficient and cost-effective.
One of the key advantages of AI in drug discovery is its ability to analyze large datasets quickly. With access to massive amounts of genomic data, chemical structures, clinical trial results, and other relevant information, AI algorithms can identify patterns and relationships that humans may overlook. This enables researchers to make more informed decisions about which compounds are most likely to be successful in treating specific diseases.
KEY MARKET SEGMENTS
- Machine Learning
- Deep Learning
- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning
- Others Technologies
- Pharmaceutical & Biotechnology Companies
- Contract Research Organizations
- Research Centres
- Academic & Government Institutes
- Excavation and mining
- Neurodegenerative Diseases
- Cardiovascular Diseases
- Metabolic Diseases
- Other Applications
Major Players Listed in the Report are as Follows:
IBM Corporation, Microsoft, Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, BERG LLC and Other Players.
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