by Precedence Research a new report on artificial intelligence in drug discovery market size, share, growth, industry trends, and forecast 2030, covering various industry elements and growth trends helpful for predicting the market’s future. The global artificial intelligence in drug discovery market size was valued at US$ 1153.6 million in 2021. The global artificial intelligence in drug discovery market is projected to reach US$ 11,914 million by 2030, registering a compound annual growth rate (CAGR) of 29.62% during the forecast period from 2022 to 2030.
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The global artificial intelligence in drug discovery market report offers various segments analysis by size, trends, growth factors, opportunities and key country outlook to 2030. The report offers a detailed analysis and information as per artificial intelligence in drug discovery, market segments helping our readers to get a comprehensive overview of the global market. Several players are planning to focus on developing cost-effective products or services, aiming to maintain a strong foothold in the market.
Artificial Intelligence In Drug Discovery Market Report Scope
| Report Coverage | Details |
| Market Size by 2030 | USD 11,914 Million |
| Growth Rate from 2022 to 2030 | CAGR of 29.62% |
| North America Market Share in 2021 | 56% |
| Drug Optimization and Repurposing Segment Market Share in 2021 | 51% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Type, Application, Drug Type, Offering, Technology, End User, Geography |
The company profiling of leading market players is included this report with Porter’s five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.
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Some of the prominent players in the artificial intelligence in drug discovery market include:
- NVIDIA CORPORATION
- Microsoft Corporation
- INSILICO MEDICINE INC.
- Schrödinger
- EXSCIENTIA
- Cloud Pharmaceuticals
- CLOUD PHARMACEUTICAL
- TOMWISE, INC
Artificial Intelligence In Drug Discovery Market Segmentation
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
Regional Segmentation
- Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
- Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
- North America [United States, Canada, Mexico]
- South America [Brazil, Argentina, Columbia, Chile, Peru]
- Middle East & Africa [GCC, North Africa, South Africa]
Key Questions are
- What are the key factors influencing the artificial intelligence in drug discovery market in each region?
- How much value will the global market generate by the end of the forecast period?
- What will be the CAGR of the global market between 2022 and 2030?
- What would be the Y-o-Y growth trend of the global market between 2022 and 2030?
- What is the future scope and current trends in technologies of the global market?
- What is the revenue of the global market based on segments?
- Which key strategies are used by top players of the global market?
- Which are the leading companies in the global market?
- What are the essential strategies by key stakeholders in the market to expand their geographic presence?
- What are the major advancements witnessed in the global market?
Research Objectives and Research Approach
The comprehensive report on the global artificial intelligence in drug discovery market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence in drug discovery market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
The report analyzes the global artificial intelligence in drug discovery market in terms of type, application, region and others. Key segments under each criteria are studied at length, and the market share for each of these at the end of 2030 has also been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global market.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in drug discovery market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in drug discovery are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Table of Contents
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, 2022-2030
8.1.1. Preclinical and Clinical Testing
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Molecule Screening
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Target Identification
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. De Novo Drug Design and Drug Optimization
8.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence (AI) In Drug Discovery Market, By Application
9.1. Artificial Intelligence (AI) In Drug Discovery Market, by Application, 2022-2030
9.1.1. Neurology
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Infectious Disease
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Oncology
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Others
9.1.4.1. Market Revenue and Forecast (2017-2030)
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, 2022-2030
10.1.1. Small Molecules
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Large Molecules
10.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence (AI) In Drug Discovery Market, By Offering
11.1. Artificial Intelligence (AI) In Drug Discovery Market, by Offering, 2022-2030
11.1.1. Software
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Services
11.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Artificial Intelligence (AI) In Drug Discovery Market, By Technology
12.1. Artificial Intelligence (AI) In Drug Discovery Market, by Technology, 2022-2030
12.1.1. Machine Learning
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Other Technologies
12.1.2.1. Market Revenue and Forecast (2017-2030)
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, 2022-2030
13.1.1. Pharmaceutical & Biotechnology Companies
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Contract Research Organizations
13.1.2.1. Market Revenue and Forecast (2017-2030)
13.1.3. Academics & Research
13.1.3.1. Market Revenue and Forecast (2017-2030)
13.1.4. Others
13.1.4.1. Market Revenue and Forecast (2017-2030)
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 (2017-2030)
14.1.2. Market Revenue and Forecast, by Application (2017-2030)
14.1.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.1.4. Market Revenue and Forecast, by Offering (2017-2030)
14.1.5. Market Revenue and Forecast, by Technology (2017-2030)
14.1.6. Market Revenue and Forecast, by End User (2017-2030)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.7.2. Market Revenue and Forecast, by Application (2017-2030)
14.1.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.1.7.4. Market Revenue and Forecast, by Offering (2017-2030)
14.1.8. Market Revenue and Forecast, by Technology (2017-2030)
14.1.8.1. Market Revenue and Forecast, by End User (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.9.2. Market Revenue and Forecast, by Application (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.1.9.4. Market Revenue and Forecast, by Offering (2017-2030)
14.1.10. Market Revenue and Forecast, by Technology (2017-2030)
14.1.11. Market Revenue and Forecast, by End User (2017-2030)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.2. Market Revenue and Forecast, by Application (2017-2030)
14.2.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.2.4. Market Revenue and Forecast, by Offering (2017-2030)
14.2.5. Market Revenue and Forecast, by Technology (2017-2030)
14.2.6. Market Revenue and Forecast, by End User (2017-2030)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.8.2. Market Revenue and Forecast, by Application (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.2.9. Market Revenue and Forecast, by Offering (2017-2030)
14.2.10. Market Revenue and Forecast, by Technology (2017-2030)
14.2.10.1. Market Revenue and Forecast, by End User (2017-2030)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.11.2. Market Revenue and Forecast, by Application (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.2.12. Market Revenue and Forecast, by Offering (2017-2030)
14.2.13. Market Revenue and Forecast, by Technology (2017-2030)
14.2.14. Market Revenue and Forecast, by End User (2017-2030)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.15.2. Market Revenue and Forecast, by Application (2017-2030)
14.2.15.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.2.15.4. Market Revenue and Forecast, by Offering (2017-2030)
14.2.16. Market Revenue and Forecast, by Technology (2017-2030)
14.2.16.1. Market Revenue and Forecast, by End User (2017-2030)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.17.2. Market Revenue and Forecast, by Application (2017-2030)
14.2.17.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.2.17.4. Market Revenue and Forecast, by Offering (2017-2030)
14.2.18. Market Revenue and Forecast, by Technology (2017-2030)
14.2.18.1. Market Revenue and Forecast, by End User (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.2. Market Revenue and Forecast, by Application (2017-2030)
14.3.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.3.4. Market Revenue and Forecast, by Offering (2017-2030)
14.3.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.6. Market Revenue and Forecast, by End User (2017-2030)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.7.2. Market Revenue and Forecast, by Application (2017-2030)
14.3.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.3.7.4. Market Revenue and Forecast, by Offering (2017-2030)
14.3.8. Market Revenue and Forecast, by Technology (2017-2030)
14.3.9. Market Revenue and Forecast, by End User (2017-2030)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.10.2. Market Revenue and Forecast, by Application (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.3.10.4. Market Revenue and Forecast, by Offering (2017-2030)
14.3.11. Market Revenue and Forecast, by Technology (2017-2030)
14.3.11.1. Market Revenue and Forecast, by End User (2017-2030)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.12.2. Market Revenue and Forecast, by Application (2017-2030)
14.3.12.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.3.12.4. Market Revenue and Forecast, by Offering (2017-2030)
14.3.12.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.12.6. Market Revenue and Forecast, by End User (2017-2030)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.13.2. Market Revenue and Forecast, by Application (2017-2030)
14.3.13.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.3.13.4. Market Revenue and Forecast, by Offering (2017-2030)
14.3.13.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.13.6. Market Revenue and Forecast, by End User (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.2. Market Revenue and Forecast, by Application (2017-2030)
14.4.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.4.4. Market Revenue and Forecast, by Offering (2017-2030)
14.4.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.6. Market Revenue and Forecast, by End User (2017-2030)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.7.2. Market Revenue and Forecast, by Application (2017-2030)
14.4.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.4.7.4. Market Revenue and Forecast, by Offering (2017-2030)
14.4.8. Market Revenue and Forecast, by Technology (2017-2030)
14.4.9. Market Revenue and Forecast, by End User (2017-2030)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.10.2. Market Revenue and Forecast, by Application (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.4.10.4. Market Revenue and Forecast, by Offering (2017-2030)
14.4.11. Market Revenue and Forecast, by Technology (2017-2030)
14.4.12. Market Revenue and Forecast, by End User (2017-2030)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.13.2. Market Revenue and Forecast, by Application (2017-2030)
14.4.13.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.4.13.4. Market Revenue and Forecast, by Offering (2017-2030)
14.4.13.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.13.6. Market Revenue and Forecast, by End User (2017-2030)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.14.2. Market Revenue and Forecast, by Application (2017-2030)
14.4.14.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.4.14.4. Market Revenue and Forecast, by Offering (2017-2030)
14.4.14.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.14.6. Market Revenue and Forecast, by End User (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.2. Market Revenue and Forecast, by Application (2017-2030)
14.5.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.5.4. Market Revenue and Forecast, by Offering (2017-2030)
14.5.5. Market Revenue and Forecast, by Technology (2017-2030)
14.5.6. Market Revenue and Forecast, by End User (2017-2030)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.7.2. Market Revenue and Forecast, by Application (2017-2030)
14.5.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.5.7.4. Market Revenue and Forecast, by Offering (2017-2030)
14.5.8. Market Revenue and Forecast, by Technology (2017-2030)
14.5.8.1. Market Revenue and Forecast, by End User (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.9.2. Market Revenue and Forecast, by Application (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Drug Type (2017-2030)
14.5.9.4. Market Revenue and Forecast, by Offering (2017-2030)
14.5.9.5. Market Revenue and Forecast, by Technology (2017-2030)
14.5.9.6. Market Revenue and Forecast, by End User (2017-2030)
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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