Product Code: HLC290A
Highlights:
The global market for artificial intelligence (AI) in drug discovery is estimated to increase from $1.6 billion in 2023 to $5.7 billion by 2028, at a compound annual growth rate (CAGR) of 29.6% from 2023 through 2028.
The global market for AI in preclinical testing application is estimated to increase from $309.3 million in 2023 to $1.6 billion by 2028, at a CAGR of 39.2% from 2023 through 2028.
The global market for AI in target identification application is estimated to increase from $362.7 million in 2023 to $1.5 billion by 2028, at a CAGR of 33.2% from 2023 through 2028.
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 Schrodinger
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