Artificial Intelligence in Drug Discovery Market is Booming Worldwide | Recursion, NVIDIA, Notable

Data Insights Market published a new research publication on "Artificial Intelligence in Drug Discovery Market Insights, to 2032" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Artificial Intelligence in Drug Discovery market was mainly driven by the increasing R&D spending across the world.

Some of the key players profiled in the study are:
Microsoft, GNS Healthcare, Exscientia, Alphabet, Recursion, NVIDIA Corporation, Notable, Neumora, PathAI, Cloud, Insilico Medicine, Benevolent AI, IBM, DEEP GENOMICS.

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Scope of the Report of Artificial Intelligence in Drug Discovery
The size of the Artificial Intelligence in Drug Discovery market was valued at USD Million in 2023 and is projected to reach USD Million by 2032, with an expected CAGR of 32.80% during the forecast period. Artificial intelligence is revolutionizing the face of drug discovery because it hastens the scope for developing new therapies and other medical needs. Advanced algorithms, combined with state-of-the-art machine learning techniques, made it possible to analyze great amounts of biological and chemical data and pointed to promising drug targets, thus designing novel molecules with desired therapeutic properties. A highly relevant application of AI in drug discovery includes the analysis of large-scale biological data like genomic and proteomic information. AI can identify sets of patterns or correlations hidden inside such datasets, which are not available to researchers using any human intuition. In addition, AI-powered tools can predict the efficacy and safety of potential drug candidates, greatly reducing the time and cost associated with drug development processes.

The titled segments and sub-section of the market are illuminated below:
By Therapeutic Area: Oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, Rare Diseases, Infectious Diseases, Genetic Diseases, By Component Type: Software, Services, By Application Type: Preclinical Testing, Drug Optimization and Repurposing, Target Identification, Candidate Screening, Others (De novo Drug Designing, Prediction of Bioactivity, and Prediction of Toxicity)

Market Drivers:
Rising Collaboration between Pharma and AI companies for Drug Discovery
Increasing Digitization of the Clinical Drug Discovery
Rising Prevalence of Chronic and Infectious Diseases

Market Trends:
The Oncology Segment is Expected to Witness Significant Growth Over the Forecast Period

Restrains:
Budget Constraints and the Errors associated with Data Management and Standardization

What can be explored with the Artificial Intelligence in Drug Discovery Market Study?
• Gain Market Understanding
• Identify Growth Opportunities
• Analyse and Measure the Global Artificial Intelligence in Drug Discovery Market by Identifying Investment across various Industry Verticals
• Understand the Trends that will drive Future Changes in Artificial Intelligence in Drug Discovery
• Understand the Competitive Scenarios
- Track Right Markets
- Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

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Strategic Points Covered in Table of Content of Global Artificial Intelligence in Drug Discovery Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Drug Discovery market
Chapter 2: Exclusive Summary - the basic information of the Artificial Intelligence in Drug Discovery Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Artificial Intelligence in Drug Discovery
Chapter 4: Presenting the Artificial Intelligence in Drug Discovery Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2019-2023
Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Drug Discovery market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2024-2032)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Artificial Intelligence in Drug Discovery Market is a valuable source of guidance for individuals and companies.

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