To better structure a high-ranking ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET research report, a nice blend of advanced industry insights, practical solutions, talent solutions and latest technology is utilized which gives an excellent experience to the readers or end users. The report is a valuable resource which provides current as well as upcoming technical and financial details of the ABC industry to 2028. For enhanced understanding of the market and leading business growth, ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY market report is the ideal solution. CAGR values for the market for an estimated forecast period of 2021 to 2028 are mentioned in the report which helps determine costing and investment values or strategies.
ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY market survey report deals with ample of important market related aspects which are; market size estimations, company and market best practices, entry level strategies, market dynamics, segmentations, positioning, competitive landscaping and benchmarking, economic forecasting, opportunity analysis, industry-specific technology solutions, roadmap analysis, and in-depth benchmarking of vendor offerings. This is the most appropriate, rational and admirable market report provided with a devotion and comprehension of business needs. The competitive landscape section of the report highlights a clear insight about the market share analysis of major industry players. The universal ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY report also includes detailed profiles of market’s major manufacturers and importers who are dominating the market.
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Artificial Intelligence (AI) in Drug Discovery Market Analysis and Insights
Artificial Intelligence (AI) is expected to be a lucrative technology in the healthcare industry. The implementation of AI reduces RD gap in the drug manufacturing process and helps in targeted manufacturing of drug. Hence, biopharmaceutical companies are turning to AI to enhance their market share. AI for drug discovery is a technology that uses machines to simulate human intelligence to solve complicated challenges in the drug development procedure.
Global Artificial Intelligence (AI) In Drug Discovery Market Scope
Global Artificial Intelligence (AI) in drug discovery market is segmented into application, technology, drug type, offering, indication and end use. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
APPLICATION
- Novel Drug Candidates
- Drug Optimization and Repurposing Preclinical Testing and Approval
- Drug Monitoring
- Finding New Diseases Associated Targets and Pathways
- Understanding Disease Mechanisms
- Aggregating and Synthesizing Information
- Formation Qualification of Hypotheses
- De Novo Drug Design
- Finding Drug Targets of an Old Drug
- Others
Based on application, the market is segmented into novel drug candidates, drug optimization and repurposing preclinical testing and approval, drug monitoring, finding new diseases associated targets and pathways, understanding disease mechanisms, aggregating and synthesizing information, formation qualification of hypotheses, de novo drug design, finding drug targets of an old drug and others.
TECHNOLOGY
- Machine Learning (ML)
- Deep Learning (DL)
- Natural Language Processing (NLP)
- Others
Based on technology, the market is segmented into Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) and others.
DRUG TYPE
- Small Molecule
- Large Molecule
Based on drug type, the market is segmented into small molecule and large molecule.
OFFERING
- Software
- Services
Based on offering, the market is segmented into software and services.
INDICATION
- Immuno-Oncology
- Neurodegenerative Diseases
- Cardiovascular Diseases
- Metabolic Diseases
- Others
Based on indication, the market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases and others.
END USE
- Pharmaceutical Biotechnology Companies
- Contract Research Organizations (CROs)
- Research Centres And Academic Institutes
- Others
Global Artificial Intelligence (AI) in Drug Discovery Market Regional Analysis/Insights
The countries covered in this market report are U.S., Canada, Mexico, Germany, France, U.K., Italy, Spain, Russia, Turkey, Belgium, Netherlands, Switzerland, rest of Europe, China, Japan, India, South Korea, Singapore, Thailand, Malaysia, Australia New Zealand, Philippines, Indonesia, rest of Asia-Pacific, U.A.E, Israel, South Africa, Saudi Arabia, Egypt, rest of Middle East and Africa, Brazil, Argentina and rest of South America.
Global Artificial Intelligence (AI) in Drug Discovery Market Share Analysis
Global Artificial Intelligence (AI) in drug discovery market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in RD, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breath, application dominance, technology lifeline curve. The above data points provided are only related to the company’s focus on the global Artificial Intelligence (AI) in drug discovery market.
Key Players
Some of the key players operating in the market are NVIDIA Corporation, IBM Corp., Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc., Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc. and BIOAGE Inc. among others.
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MAJOR TOC OF THE REPORT
- Chapter One: Introduction
- Chapter Two: Market Segmentation
- Chapter Three: Market Overview
- Chapter Four: Executive Summary
- Chapter Five: Premium Insights
- Chapter Six: Artificial Intelligence (AI) in drug discovery market
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