The artificial intelligence (AI) in drug discovery market would grow at a CAGR of 21.36% over the predicted time frame. The market is expected to increase in value from US$ 1.4 Bn in 2022 to US$ 9.7 Bn in 2032.
Key Takeaways:
- By therapeutic area, U.S. AI in drug discovery market was valued at USD 483.7 million in 2022.
- By therapeutic area, the oncology segment accounted revenue share of 21% in 2022 and the infectious diseases segment is projected to grow at a fastest CAGR from 2023 to 2032.
- Based on application, the drug optimization and repurposing segment has garnered revenue share of around 51% in 2022 and the preclinical testing segment is growing faster.
- North America accounted largest market share 56% in 2022.
- The APAC market is projected to grow at a notable CAGR of 21.1% from 2023 to 2032.
The on artificial intelligence (AI) in drug discovery Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
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Report Scope of the Artificial Intelligence (AI) In Drug Discovery Market
| Report Coverage | Details |
| Market Size by 2032 | USD 9.7 billion |
| Growth Rate from 2023 to 2032 | CAGR of 21.36% |
| North America Market Share in 2021 | 56% |
| Drug Optimization and Repurposing Segment Market Share in 2021 | 51% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | Type, Application, Drug Type, Offering, Technology, End User, Geography |
A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence (AI) in drug discovery Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence (AI) in drug discovery market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence (AI) in drug discovery market are included as given below:
Artificial intelligence (AI) in drug discovery Market Key Players
- NVIDIA CORPORATION
- Microsoft Corporation
- INSILICO MEDICINE INC.
- Schrödinger
- EXSCIENTIA
- Cloud Pharmaceuticals
- CLOUD PHARMACEUTICAL
- TOMWISE, INC
Market Segments
By Type
- Preclinical and Clinical Testing
- Molecule Screening
- Target Identification
- De Novo Drug Design and Drug Optimization
By Application
- Neurology
- Infectious Disease
- Oncology
- Others
By Drug Type
- Small Molecules
- Large Molecules
By Offering
- Software
- Services
By Technology
- Machine Learning
- Deep Learning
- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning
- Other Machine Learning Technologies
- Other Technologies
By End User
- Pharmaceutical & Biotechnology Companies
- Contract Research Organizations
- Academics & Research
- Others
By Geography
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Malaysia
- Philippines
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa (MEA)
- GCC
- North Africa
- South Africa
- Rest of the Middle East & Africa
Report Objectives
- To define, describe, and forecast the global artificial intelligence (AI) in drug discovery market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the artificial intelligence (AI) in drug discovery market
Table of Content
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. End User Procurement Analysis
4.3.2. Sales and Distribution Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) In Drug Discovery Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) In Drug Discovery Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) In Drug Discovery Market, By Type
8.1. Artificial Intelligence (AI) In Drug Discovery Market, by Type, 2023-2032
8.1.1. Preclinical and Clinical Testing
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Molecule Screening
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Target Identification
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. De Novo Drug Design and Drug Optimization
8.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) In Drug Discovery Market, By Application
9.1. Artificial Intelligence (AI) In Drug Discovery Market, by Application, 2023-2032
9.1.1. Neurology
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Infectious Disease
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Oncology
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Others
9.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) In Drug Discovery Market, By Drug Type
10.1. Artificial Intelligence (AI) In Drug Discovery Market, by Drug Type, 2023-2032
10.1.1. Small Molecules
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Large Molecules
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) In Drug Discovery Market, By Offering
11.1. Artificial Intelligence (AI) In Drug Discovery Market, by Offering, 2023-2032
11.1.1. Software
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Services
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence (AI) In Drug Discovery Market, By Technology
12.1. Artificial Intelligence (AI) In Drug Discovery Market, by Technology, 2023-2032
12.1.1. Machine Learning
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Other Technologies
12.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Artificial Intelligence (AI) In Drug Discovery Market, By End User
13.1. Artificial Intelligence (AI) In Drug Discovery Market, by End User, 2023-2032
13.1.1. Pharmaceutical & Biotechnology Companies
13.1.1.1. Market Revenue and Forecast (2020-2032)
13.1.2. Contract Research Organizations
13.1.2.1. Market Revenue and Forecast (2020-2032)
13.1.3. Academics & Research
13.1.3.1. Market Revenue and Forecast (2020-2032)
13.1.4. Others
13.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 14. Global Artificial Intelligence (AI) In Drug Discovery Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Type (2020-2032)
14.1.2. Market Revenue and Forecast, by Application (2020-2032)
14.1.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.1.4. Market Revenue and Forecast, by Offering (2020-2032)
14.1.5. Market Revenue and Forecast, by Technology (2020-2032)
14.1.6. Market Revenue and Forecast, by End User (2020-2032)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Type (2020-2032)
14.1.7.2. Market Revenue and Forecast, by Application (2020-2032)
14.1.7.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.1.7.4. Market Revenue and Forecast, by Offering (2020-2032)
14.1.8. Market Revenue and Forecast, by Technology (2020-2032)
14.1.8.1. Market Revenue and Forecast, by End User (2020-2032)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Type (2020-2032)
14.1.9.2. Market Revenue and Forecast, by Application (2020-2032)
14.1.9.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.1.9.4. Market Revenue and Forecast, by Offering (2020-2032)
14.1.10. Market Revenue and Forecast, by Technology (2020-2032)
14.1.11. Market Revenue and Forecast, by End User (2020-2032)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Type (2020-2032)
14.2.2. Market Revenue and Forecast, by Application (2020-2032)
14.2.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.2.4. Market Revenue and Forecast, by Offering (2020-2032)
14.2.5. Market Revenue and Forecast, by Technology (2020-2032)
14.2.6. Market Revenue and Forecast, by End User (2020-2032)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Type (2020-2032)
14.2.8.2. Market Revenue and Forecast, by Application (2020-2032)
14.2.8.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.2.9. Market Revenue and Forecast, by Offering (2020-2032)
14.2.10. Market Revenue and Forecast, by Technology (2020-2032)
14.2.10.1. Market Revenue and Forecast, by End User (2020-2032)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Type (2020-2032)
14.2.11.2. Market Revenue and Forecast, by Application (2020-2032)
14.2.11.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.2.12. Market Revenue and Forecast, by Offering (2020-2032)
14.2.13. Market Revenue and Forecast, by Technology (2020-2032)
14.2.14. Market Revenue and Forecast, by End User (2020-2032)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Type (2020-2032)
14.2.15.2. Market Revenue and Forecast, by Application (2020-2032)
14.2.15.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.2.15.4. Market Revenue and Forecast, by Offering (2020-2032)
14.2.16. Market Revenue and Forecast, by Technology (2020-2032)
14.2.16.1. Market Revenue and Forecast, by End User (2020-2032)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Type (2020-2032)
14.2.17.2. Market Revenue and Forecast, by Application (2020-2032)
14.2.17.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.2.17.4. Market Revenue and Forecast, by Offering (2020-2032)
14.2.18. Market Revenue and Forecast, by Technology (2020-2032)
14.2.18.1. Market Revenue and Forecast, by End User (2020-2032)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Type (2020-2032)
14.3.2. Market Revenue and Forecast, by Application (2020-2032)
14.3.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.3.4. Market Revenue and Forecast, by Offering (2020-2032)
14.3.5. Market Revenue and Forecast, by Technology (2020-2032)
14.3.6. Market Revenue and Forecast, by End User (2020-2032)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Type (2020-2032)
14.3.7.2. Market Revenue and Forecast, by Application (2020-2032)
14.3.7.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.3.7.4. Market Revenue and Forecast, by Offering (2020-2032)
14.3.8. Market Revenue and Forecast, by Technology (2020-2032)
14.3.9. Market Revenue and Forecast, by End User (2020-2032)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Type (2020-2032)
14.3.10.2. Market Revenue and Forecast, by Application (2020-2032)
14.3.10.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.3.10.4. Market Revenue and Forecast, by Offering (2020-2032)
14.3.11. Market Revenue and Forecast, by Technology (2020-2032)
14.3.11.1. Market Revenue and Forecast, by End User (2020-2032)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Type (2020-2032)
14.3.12.2. Market Revenue and Forecast, by Application (2020-2032)
14.3.12.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.3.12.4. Market Revenue and Forecast, by Offering (2020-2032)
14.3.12.5. Market Revenue and Forecast, by Technology (2020-2032)
14.3.12.6. Market Revenue and Forecast, by End User (2020-2032)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Type (2020-2032)
14.3.13.2. Market Revenue and Forecast, by Application (2020-2032)
14.3.13.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.3.13.4. Market Revenue and Forecast, by Offering (2020-2032)
14.3.13.5. Market Revenue and Forecast, by Technology (2020-2032)
14.3.13.6. Market Revenue and Forecast, by End User (2020-2032)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Type (2020-2032)
14.4.2. Market Revenue and Forecast, by Application (2020-2032)
14.4.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.4.4. Market Revenue and Forecast, by Offering (2020-2032)
14.4.5. Market Revenue and Forecast, by Technology (2020-2032)
14.4.6. Market Revenue and Forecast, by End User (2020-2032)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Type (2020-2032)
14.4.7.2. Market Revenue and Forecast, by Application (2020-2032)
14.4.7.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.4.7.4. Market Revenue and Forecast, by Offering (2020-2032)
14.4.8. Market Revenue and Forecast, by Technology (2020-2032)
14.4.9. Market Revenue and Forecast, by End User (2020-2032)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Type (2020-2032)
14.4.10.2. Market Revenue and Forecast, by Application (2020-2032)
14.4.10.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.4.10.4. Market Revenue and Forecast, by Offering (2020-2032)
14.4.11. Market Revenue and Forecast, by Technology (2020-2032)
14.4.12. Market Revenue and Forecast, by End User (2020-2032)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Type (2020-2032)
14.4.13.2. Market Revenue and Forecast, by Application (2020-2032)
14.4.13.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.4.13.4. Market Revenue and Forecast, by Offering (2020-2032)
14.4.13.5. Market Revenue and Forecast, by Technology (2020-2032)
14.4.13.6. Market Revenue and Forecast, by End User (2020-2032)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Type (2020-2032)
14.4.14.2. Market Revenue and Forecast, by Application (2020-2032)
14.4.14.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.4.14.4. Market Revenue and Forecast, by Offering (2020-2032)
14.4.14.5. Market Revenue and Forecast, by Technology (2020-2032)
14.4.14.6. Market Revenue and Forecast, by End User (2020-2032)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Type (2020-2032)
14.5.2. Market Revenue and Forecast, by Application (2020-2032)
14.5.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.5.4. Market Revenue and Forecast, by Offering (2020-2032)
14.5.5. Market Revenue and Forecast, by Technology (2020-2032)
14.5.6. Market Revenue and Forecast, by End User (2020-2032)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Type (2020-2032)
14.5.7.2. Market Revenue and Forecast, by Application (2020-2032)
14.5.7.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.5.7.4. Market Revenue and Forecast, by Offering (2020-2032)
14.5.8. Market Revenue and Forecast, by Technology (2020-2032)
14.5.8.1. Market Revenue and Forecast, by End User (2020-2032)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Type (2020-2032)
14.5.9.2. Market Revenue and Forecast, by Application (2020-2032)
14.5.9.3. Market Revenue and Forecast, by Drug Type (2020-2032)
14.5.9.4. Market Revenue and Forecast, by Offering (2020-2032)
14.5.9.5. Market Revenue and Forecast, by Technology (2020-2032)
14.5.9.6. Market Revenue and Forecast, by End User (2020-2032)
Chapter 15. Company Profiles
15.1. NVIDIA CORPORATION
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Microsoft Corporation
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. INSILICO MEDICINE INC.
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Schrödinger
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. EXSCIENTIA
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Cloud Pharmaceuticals
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. TOMWISE, INC
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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