Global Markets for Artificial Intelligence in Drug Discovery

Abstract
Report Scope:

The current report will provide a detailed overview of the AI in the drug discovery market. This report analyzes the market trends associated with AI in drug discovery using data from 2020, estimates from 2021, projections of compound annual growth rates through 2028 (i.e., the forecast period 2023-2028), and information about regional markets of AI in drug discovery. This report will highlight the current and future market potential of AI in drug discovery and provide a detailed analysis of the competitive environment. It will cover regulatory scenarios, drivers, restraints and opportunities as well as market projections for 2028 and the market shares held by key market players.

The scope of the market in this report is segmented into applications, therapeutic areas and region. The applications of AI in drug discovery are further segmented into preclinical testing, target identification, candidate screening and lead optimization, drug repurposing, De novo Drug Design and others. The AI in drug discovery market is segmented by therapeutic area into the following segments: oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, infectious diseases, and others. This report includes a regional market analysis of AI in drug discovery. The market has been segmented by region into various significant geographies: North America, Europe, Asia-Pacific, and the Rest of the World regions. Detailed analysis of major countries such as the U.S., Germany, the U.K., Italy, France, Japan, China and India will be covered within the chapter focused on regional segmentation. For market estimates, 2022 serves the base year; forecasts are given from 2023-2028.

The regional market analysis of AI in drug discovery is also covered in this report. The market has been segmented into various significant geographies, including North America, Europe, Asia-Pacific, and other world regions. Detailed analysis of major countries such as the U.S., Germany, the U.K., Italy, France, Japan, China, and India will be covered within the regional segment. For market estimates, data will be provided for 2022 because of the base year, with estimates for 2023 and forecast value for 2028.

Report Includes:

- 49 data tables and 30 additional tables
- An up-to-date overview and industry analysis of the global markets for artificial intelligence (AI) in drug discovery
- Analyses of the global market trends, with historical market revenue data (sales figures) from 2020-2022, estimates for 2023, and projections of compound annual growth rates (CAGRs) through 2028
- Estimation of the actual market size and revenue forecast for the AI in drug discovery market, and corresponding market share analysis based on application, therapeutic area, and region
- In-depth information (facts and figures) concerning the major factors influencing the progress of this market (drivers, restraints, opportunities, and industry-specific challenges) with respect to specific growth trends, upcoming prospects, and contributions to the overall market
- Understanding of the importance of ESG in the AI in drug discovery market, consumer attitudes, risks and opportunity assessment, and ESG followed practices by top vendor companies
- Discussion of emerging technologies and new developments in the AI in drug discovery market
- Identification of the major and emerging players who are considered as leaders in the AI in drug discovery market, as well as technological means these companies are using to exploit their markets and dominate the market in their fields
- Review of the structure of this industry with respect to company market shares, venture fundings, and recent merger and acquisition (M&A) activities
- Analysis of their company competitive landscape based on recent developments, key financials and segmental revenues, and operational integration
- Detailed company profiles of the leading market players, including Atomwise Inc., BenevolentAI, Insilico Medicine, Exscientia plc, Recursion Pharmaceuticals Inc., and Schrödinger

Content
Table of Contents

Chapter 1 Introduction
Overview
Artificial Intelligence
Drug Discovery
Artificial Intelligence in Drug Discovery
Study Goals and Objectives
Reasons for Doing This Study
Scope of Report
Methodology
Information Sources
Geographic Breakdown
Chapter 2 Summary and Highlights
Market Outlook
Market Insights
Chapter 3 Market Overview
Introduction
Future Perspectives
Chapter 4 Market Dynamics
Market Drivers
Rising Prevalence of Chronic and Infectious Diseases Globally
Increasing Adoption of AI in Pharmaceutical Sector
Potential of AI in Pharma Sector
Market Restraints
Challenges with AI in Drug Discovery
Market Opportunities
Partnerships and Mergers Between Sectors
Chapter 5 Regulatory Landscape and Reimbursement Scenario
Regulatory Landscape
North America
Europe
Asia-Pacific
Chapter 6 Impact of COVID-19 on Market
Overview
COVID-19 Crisis
COVID-19 Drug Discovery and Vaccine Development Using AI
Impact of COVID-19 on AI in Drug Discovery
COVID-19 Measures
Chapter 7 Market Breakdown by Application
Applications of AI in Drug Discovery
Preclinical Testing
Target Identification
Candidate Screening and Lead Optimization
Drug Repurposing
De Novo Drug Design
Other Applications
Chapter 8 Market Breakdown by Therapeutic Area
AI in Drug Discovery by Therapeutic Area
Oncology
Infectious Diseases
Neurodegenerative Diseases
Cardiovascular Diseases
Metabolic Diseases
Other Diseases
Chapter 9 Market Breakdown by Region
Overview
North America
U.S. Market Size and Forecast
Canadian Market Size and Forecast
Europe
German Market Size and Forecast
U.K. Market Size and Forecast
French Market Size and Forecast
Italian Market Size and Forecast
Spanish Market Size and Forecast
Rest of European Market Size and Forecast
Asia-Pacific
Chinese Market Size and Forecast
Japanese Market Size and Forecast
Indian Market Size and Forecast
South Korean Market Size and Forecast
Rest of Asia-Pacific Market Size and Forecast
Rest of the World
South American Market Size and Forecast
Middle East and African Market Size and Forecast
Chapter 10 ESG Development
Introduction to ESG
Environmental
Social
Government
The Sustainability of AI Suppliers in Drug Discovery Industry
Pharma End User Sustainability in the AI Industry
Case Study
Concluding Remarks from BCC
Chapter 11 Emerging Technologies and Developments
Overview
Current Market Trends
Emerging Technologies
Cell Painting
Quantum Computing
Metabolomics
Chapter 12 M&A and Funding Outlook
M&A Analysis
Major Strategic Alliances
Chapter 13 Competitive Landscape
Competitive Analysis
Vision and Strategy for AI
Technology and Data
External AI Collaborations
Managing Internal Talent
Culture and Methods of Work
Company Share Analysis
Chapter 14 Company Profiles
ARIA PHARMACEUTICALS INC.
ATOMWISE INC.
BENEVOLENTAI
EXSCIENTIA PLC
INSILICO MEDICINE
RECURSION PHARMACEUTICALS INC.
RELAY THERAPEUTICS INC.
SCHRODINGER INC.
XTALPI INC.
Chapter 15 Appendix: Acronyms