Latest released the research study on Global AI in Drug Discovery Market, offers a detailed overview of the factors influencing the global business scope. AI in Drug Discovery Market research report shows the latest market insights, current situation analysis with upcoming trends and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of the AI in Drug Discovery Market. The study covers emerging player’s data, including: competitive landscape, sales, revenue and global market share of top manufacturers.
Top players in Global AI in Drug Discovery Market are:
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), Exscientia (United Kingdom)
What’s Ahead in the Global AI in Drug Discovery Market? Benchmark yourself with strategic steps and conclusions recently published by AMA
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Brief Overview on AI in Drug Discovery
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.
AI in Drug Discovery Market Data Breakdown and Market Segmentation:
Study by Application (Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, Others), Technology (Machine Learning, Deep Learning, Others), End-User (Pharmaceutical & Biotechnology, Research Organizations, Academic & Government Institutes), Component (Software, Services)
Increasing Pressure on the Drug Manufacturer to Reduce Drug Price
Growing Number of Cross-Industry Collaborations and Partnerships
Research Applying AI to Drug Discovery is Accelerating
Protecting Intellectual Property and Data
Limited Awareness, High Cost and Technical Limitation of AI Decision-Making
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 AI in Drug Discovery Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Global AI in Drug Discovery market
Chapter 2: Exclusive Summary – the basic information of the Global AI in Drug Discovery Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Global AI in Drug Discovery
Chapter 4: Presenting the Global AI 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 2013-2020
Chapter 6: Evaluating the leading manufacturers of the Global AI 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 with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Global AI in Drug Discovery Market is a valuable source of guidance for individuals and companies.
Data Sources & Methodology
The primary sources involve the industry experts from the Global AI in Drug Discovery Market including the management organizations, processing organizations, analytics service providers of the industry’s value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.
In the extensive primary research process undertaken for this study, the primary sources – Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company’s Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weightage.
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