Chapter 1. Artificial Intelligence in Drug Optimization & Repurposing Market – Scope & Methodology
1.1 Market Segmentation
1.2 Assumptions
1.3 Research Methodology
1.4 Primary Sources
1.5 Secondary Sources
Chapter 2. Artificial Intelligence in Drug Optimization & Repurposing Market – Executive Summary
2.1 Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.3 COVID-19 Impact Analysis
2.3.1 Impact during 2023 – 2030
2.3.2 Impact on Supply – Demand
Chapter 3. Artificial Intelligence in Drug Optimization & Repurposing Market – Competition Scenario
3.1 Market Share Analysis
3.2 Product Benchmarking
3.3 Competitive Strategy & Development Scenario
3.4 Competitive Pricing Analysis
3.5 Supplier - Distributor Analysis
Chapter 4. Artificial Intelligence in Drug Optimization & Repurposing Market - Entry Scenario
4.1 Case Studies – Start-up/Thriving Companies
4.2 Regulatory Scenario - By Region
4.3 Customer Analysis
4.4 Porter's Five Force Model
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Powers of Customers
4.4.3 Threat of New Entrants
4.4.4 .Rivalry among Existing Players
4.4.5 Threat of Substitutes
Chapter 5. Artificial Intelligence in Drug Optimization & Repurposing Market - Landscape
5.1 Value Chain Analysis – Key Stakeholders Impact Analysis
5.2 Market Drivers
5.3 Market Restraints/Challenges
5.4 Market Opportunities
Chapter 6. Artificial Intelligence in Drug Optimization & Repurposing Market - By Therapeutic Area
6.1 Oncology
6.2 Neurodegenerative Diseases
6.3 Cardiovascular Disease
6.4 Genetic Diseases
6.5 Metabolic Diseases
6.6 Infectious Disease
6.7 Others
Chapter 7. Artificial Intelligence in Drug Optimization & Repurposing Market - By Technology
7.1 Machine Learning
7.2 Deep Learning
7.2.1 Support Vector Machine (SVM)
7.2.2 DeepPurpose 20
7.3 Natural Language Processing
7.4 Virtual Screening
7.5 Others
Chapter 8. Artificial Intelligence in Drug Optimization & Repurposing Market - By Offering
8.1 Services
8.2 Softwares
Chapter 9. Artificial Intelligence in Drug Optimization & Repurposing Market - By End-Users
9.1 Biotechnology firms and Pharmaceutical Companies
9.2 Research Organizations
9.3 Academic Institutes
9.4 Others
Chapter 10. Artificial Intelligence in Drug Optimization & Repurposing Market – By Region
10.1 North America
10.2 Europe
10.3 Asia-Pacific
10.4 Latin America
10.5 The Middle East
10.6 Africa
Chapter 11. Artificial Intelligence in Drug Optimization & Repurposing Market – Key Players
11.1 Microsoft
11.2 IBM
11.3 Exscientia
11.4 GNS Healthcare
11.5 Alphabet
11.6 Benevolent AI
11.7 Cloud Pharmaceuticals
11.8 NVIDIA Corporation
11.9 DEEP GENOMICS
11.10 Cyclica
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Frequently Asked Questions
Global Artificial Intelligence in Drug Optimization & Repurposing Market is estimated to be worth USD 450.33 Million in 2022 and is projected to reach a value of USD 7,874.43 Million by 2030, growing at a CAGR of 43% during the forecast period 2023-2030.
AnThe Global Artificial Intelligence in Drug Optimization & Repurposing Market Drivers is the increasing adoption of AI and a surge in the number of chronic disease cases.
Based on the End-Users, the Global Artificial Intelligence in Drug Optimization & Repurposing Market is segmented into Biotechnology firms and Pharmaceutical Companies, Research Organizations, Academic Institutes, and Others.
The United States is the most dominating country in the region of North America for the Global Artificial Intelligence in Drug Optimization & Repurposing Market.