AI in Drug Discovery Market Definition
Artificial intelligence for drug discovery is a technology that uses and different algorithms that value add in decision-making processes for drug discovery. The increasing cases of rare diseases and demand for personalized drugs are the major factor fueling the growth of the global Al for Drug Discovery marker.
The market study is broken down, by Application (Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases and Others) and major geographies with country level splits. According to AMA, the Global AI in Drug Discovery market is expected to see growth rate of 39.5%
Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI in Drug Discovery market throughout the predicted period.
IBM Corporation (United States), Microsoft (United States), Google (United States), NVIDIA Corporation (United States), Atomwise, Inc. (United States), Deep Genomics (Canada), Cloud Pharmaceuticals (United States), Insilico Medicine (United States), Benevolent AI (United Kingdom) and Exscientia (United Kingdom) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Cyclica (Canada), BIOAGE (United States), Numerate (United States), Numedii (United States), Envisagenics (United States), twoXAR (United States), OWKIN, Inc. (United States), XtalPi (United States), Verge Genomics (United States) and Berg LLC (United States).
AdvanceMarketAnalytics has segmented the market of Global AI in Drug Discovery market by Type, Application and Region.
On the basis of geography, the market of AI in Drug Discovery has been segmented into . If we see Market by Technology, the sub-segment i.e. Machine Learning will boost the AI in Drug Discovery market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End-User, the sub-segment i.e. Pharmaceutical & Biotechnology will boost the AI in Drug Discovery market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Software will boost the AI in Drug Discovery market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Research Applying AI to Drug Discovery is Accelerating
- Data Sharing
- Increasing Pressure on the Drug Manufacturer to Reduce Drug Price
- Growing Number of Cross-Industry Collaborations and Partnerships
- Implementation of AI reduces researches and development gap in the drug manufacturing process and help in the targeted manufacturing of the drugs.
- Huge Investments in Research & Developments
- Limited Awareness, High Cost and Technical Limitation of AI Decision-Making
- Protecting Intellectual Property and Data
Key Target AudienceAl in Drug Discovery Vendors, Pharmaceutical & Healthcare Organizations, Research Institutes, Governments and Others
About ApproachThe research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.
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