Report Content
Chapter 1 Methodology & Scope
1.1 Market definition
1.2 Base estimates & calculations
1.3 Forecast parameters
1.4 COVID-19 impact analysis at global level
1.5 Data validation
1.6 Data Sources
1.6.1 Primary
1.6.2 Secondary
1.6.2.1 Paid sources
1.6.2.2 Public sources
Chapter 2 Executive Summary
2.1 Global artificial intelligence in drug discovery industry 360º synopsis, 2018 – 2032
2.1.1 Business trends
2.1.2 Regional trends
2.1.3 Component trends
2.1.4 Technology trends
2.1.5 Application type trends
2.1.6 Therapeutic area trends
2.1.7 End-use trends
Chapter 3 Artificial Intelligence in Drug Discovery Industry Insights
3.1 Industry ecosystem analysis
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Growing number of cross industry collaborations and partnerships
3.2.1.2 Artificial intelligence reduces cost and time utilized in the drug discovery& development process
3.2.1.3 Rising prevalence of chronic and infectious diseases
3.2.2 Industry pitfalls & challenges
3.2.2.1 Lack of data sets in the field of drug discovery
3.2.2.2 Limited understanding and expertise
3.3 Growth potential analysis
3.3.1 By component
3.3.2 By technology
3.3.3 By application type
3.3.4 By therapeutic area
3.3.5 By end-use
3.4 COVID- 19 impact analysis
3.5 Regulatory landscape
3.6 AI in drug discovery - Drugs by stage and therapeutic area
3.7 AI in drug discovery funding, 2018-2020
3.8 Porter's analysis
3.9 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Investment and partnership landscape
4.3 Company matrix analysis, 2022
4.4 Competitive analysis of major market players
4.5 Competitive positioning matrix
4.6 Strategy dashboard, 2022
Chapter 5 Artificial Intelligence in Drug Discovery Market Size and Forecast, By Component (USD Million)
5.1 Key trends, by component
5.2 Software
5.3 Services
Chapter 6 Artificial Intelligence in Drug Discovery Market Size and Forecast, By Technology (USD Million)
6.1 Key trends, by technology
6.2 Machine Learning
6.2.1 Deep Learning
6.2.2 Supervised Learning
6.2.3 Unsupervised Learning
6.2.4 Other Machine Learning Technologies
6.3 Other Technologies
Chapter 7 Artificial Intelligence in Drug Discovery Market Size and Forecast, By Application Type (USD Million)
7.1 Key trends, by application type
7.2 Molecular library screening
7.3 Target Identification
7.4 Drug Optimization and Repurposing
7.5 De novo Drug Designing
7.6 Preclinical Testing
Chapter 8 Artificial Intelligence in Drug Discovery Market Size and Forecast, By Therapeutic Area (USD Million)
8.1 Key trends, by therapeutic area
8.2 Oncology
8.3 Neurodegenerative Diseases
8.4 Inflammatory
8.5 Infectious Diseases
8.6 Metabolic Diseases
8.7 Rare Diseases
8.8 Cardiovascular Diseases
8.9 Other Therapeutic Areas
Chapter 9 Artificial Intelligence in Drug Discovery Market Size and Forecast, By End-use (USD Million)
9.1 Key trends, by end-use
9.2 Pharmaceutical and Biotechnology Companies
9.3 Contract Research Organization (CROs)
9.4 Other End-users
Chapter 10 Artificial Intelligence in Drug Discovery Market Size and Forecast, By Region (USD Million)
10.1 Key trends, by region
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 France
10.3.4 Spain
10.3.5 Italy
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 South Korea
10.4.6 Rest of Asia Pacific
10.5 Latin America
10.5.1 Brazil
10.5.2 Mexico
10.5.3 Rest of Latin America
10.6 Middle East & Africa
10.6.1 South Africa
10.6.2 Saudi Arabia
10.6.3 Rest of Middle East & Africa
Chapter 11 Company Profiles
11.1 Microsoft
11.2 BenevolentAI
11.3 Exscientia
11.4 IBM Corporation
11.5 Alphabet (DeepMind)
11.6 NVIDIA Corporation
11.7 Deep Genomic
11.8 Atomwise Inc.
11.9 Cyclica
11.10 Deargen
