Report Scope & Overview:
Artificial Intelligence Drug Development Market is valued at $0.6 billion in 2022 and is projected to attain a value of $4.0 billion by 2027 at a CAGR of 45.7% From 2023–2027.
Artificial Intelligence Drug Development Market Overview:
Global Artificial Intelligence Drug Development Market research provides insights into consumer behavior, industry trends, and market competition through the use of various research techniques, including surveys, interviews, and data analysis. The industry serves a wide range of clients, including businesses, government agencies, and non-profit organizations. Artificial Intelligence Drug Development Market is highly diverse, with a range of services and specialties, including quantitative and qualitative research, brand research, product testing, customer satisfaction research, and competitive analysis.
Global Artificial Intelligence Drug Development Market research provides insights into consumer behavior, industry trends, and market competition through the use of various research techniques, including surveys, interviews, and data analysis. The industry serves a wide range of clients, including businesses, government agencies, and non-profit organizations. Artificial Intelligence Drug Development Market is highly diverse, with a range of services and specialties, including quantitative and qualitative research, brand research, product testing, customer satisfaction research, and competitive analysis.
Overall, Artificial Intelligence Drug Development market plays a crucial role in helping businesses and organizations make informed decisions based on data-driven insights. As the demand for data-driven decision-making continues to grow, Artificial Intelligence Drug Development market research is expected to experience further growth and innovation in the coming years.
Artificial Intelligence Drug Development Market Key Trends
Target Identification and Validation: AI is being used to identify and validate potential drug targets more efficiently. Machine learning models can analyze large datasets to identify biomarkers and pathways associated with diseases, helping researchers pinpoint promising targets for drug development.
Drug Discovery and Design: AI is revolutionizing the drug discovery process by predicting the binding affinity between molecules and target proteins, thus accelerating the process of finding potential drug candidates. Generative AI models can also design novel molecules with desired properties, potentially leading to more effective and specific drugs.
High-Throughput Screening: Machine learning algorithms can analyze the resulting data to identify compounds with therapeutic potential.
Optimization of Clinical Trials: AI helps optimize the design and execution of clinical trials. Predictive analytics can aid in patient recruitment, monitoring, and endpoint prediction, making trials more efficient and cost-effective.
Drug Repurposing: AI algorithms can analyze existing drugs and their effects on various diseases, suggesting potential new uses for approved or investigational drugs. This approach can save time and resources compared to developing drugs from scratch.
Personalized Medicine: AI can analyze patient data, including genetic information, to tailor treatments to individual patients. This could lead to more effective and safer treatments with fewer adverse effects.
Data Integration and Analysis: With the increasing availability of big data in life sciences, AI helps integrate and analyze diverse datasets, including genomics, proteomics, and clinical data.
Regulatory Compliance and Safety Assessment: AI can aid in predicting potential toxicities and side effects of drug candidates, enhancing safety assessments during the development process. It can also assist in ensuring regulatory compliance.
Market Segmentations:Global Artificial Intelligence Drug Development Market: By Company
• Insilico Medicine
• Cyclica
• XtalPi Inc.
• Exscientia Limited
• AiCure, LLC
• Atomwise
• Biovista Inc.
• Breg，Inc.
• Numerate
• Cloud Pharmaceuticals
• IBM
• NuMedii
• BenevolentAI
• Lam Therapeutics
Global Artificial Intelligence Drug Development Market: By Type
• Drug Design
• Drug Synthesis
• Other
Global Artificial Intelligence Drug Development Market: By Application
• Tumor
• Nervous System
• Other
Global Artificial Intelligence Drug Development Market: Regional Analysis
All the regional segmentation has been studied based on recent and future trends, and the market is forecasted throughout the prediction period. The countries covered in the regional analysis of the Global Artificial Intelligence Drug Development market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Russia, Italy, Spain, Turkey, Netherlands, Switzerland, Belgium, and Rest of Europe in Europe, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, China, Japan, India, South Korea, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), and Argentina, Brazil, and Rest of South America as part of South America.
| Report Attribute/Metric | Details |
| Market Size 2022 | $0.6 billion |
| Market Size 2027 | $4.0 billion |
| Compound Annual Growth Rate (CAGR) | 45.7%(2023-2027) |
| Base Year | 2022 |
| Forecast Period | 2023-2032 |
| Historical Data | 2018-2022 |
| Forecast Units | Value (USD Million) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| By Type | • Drug Design • Drug Synthesis |
| By Application | • Tumor • Nervous System |
| Key Companies Profiled | • Insilico Medicine • Cyclica • XtalPi Inc. • Exscientia Limited • AiCure, LLC • Atomwise • Biovista Inc. • Breg，Inc. • Numerate • Cloud Pharmaceuticals • IBM • NuMedii • BenevolentAI • Lam Therapeutics |
| Regions and Key Countries Covered | U.S., Canada, and Mexico in North America, Germany, France, U.K., Russia, Italy, Spain, Turkey, Netherlands, Switzerland, Belgium, and Rest of Europe in Europe, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, China, Japan, India, South Korea, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), and Argentina, Brazil, and Rest of South America as part of South America |
| Customization Scope | Available on Request |
Reasons to Purchase Artificial Intelligence Drug Development Market Report:
• To gain insights into market trends and dynamics: this reports provide valuable insights into industry trends and dynamics, including market size, growth rates, and key drivers and challenges.
• To identify key players and competitors: this research reports can help businesses identify key players and competitors in their industry, including their market share, strategies, and strengths and weaknesses.
• To understand consumer behavior: this research reports can provide valuable insights into consumer behavior, including their preferences, purchasing habits, and demographics.
• To evaluate market opportunities: this research reports can help businesses evaluate market opportunities, including potential new products or services, new markets, and emerging trends.
• To make informed business decisions: this research reports provide businesses with data-driven insights that can help them make informed business decisions, including strategic planning, product development, and marketing and advertising strategies.
Overall, market research reports provide businesses and organizations with valuable information that can help them make informed decisions and stay competitive in their industry. They can provide a solid foundation for business planning, strategy development, and decision-making.
Objectives of Artificial Intelligence Drug Development Market Study:
The objectives of Artificial Intelligence Drug Development market research report may vary depending on the specific needs and goals of the business or organization commissioning the report. However, some common objectives of market research reports include:
• Understanding the market size and potential: One of the primary objectives of Artificial Intelligence Drug Development market research is to understand the size and potential of a particular market. This includes analyzing market trends and dynamics, identifying key players and competitors, and assessing the demand for products or services.
• Identifying target customers and segments: this market research reports can help businesses identify and understand their target customers and market segments, including their preferences, behaviors, and demographics. This information can be used to develop targeted marketing and advertising strategies.
• Evaluating product or service performance: this market research reports can provide valuable insights into the performance of products or services, including customer satisfaction, product usage, and product quality. This information can be used to improve products or services and enhance customer satisfaction.
• Assessing market opportunities and threats: this market research reports can help businesses identify potential market opportunities and threats, including emerging trends, competitive threats, and new market entrants. This information can be used to develop strategic plans and make informed business decisions.
• Developing effective marketing and advertising strategies: this market research reports can help businesses develop effective marketing and advertising strategies by providing insights into customer preferences and behavior, competitive dynamics, and market trends. This can help businesses improve brand awareness, customer engagement, and overall marketing effectiveness.
Overall, the objectives of Artificial Intelligence Drug Development market research report are to provide businesses and organizations with valuable insights and data-driven recommendations that can help them make informed business decisions and stay competitive in their industry.
Frequently Asked Questions
Artificial Intelligence Drug Development Market is valued at $0.6 billion in 2022 and is projected to attain a value of $4.0 billion by 2027 at a CAGR of 45.7% From 2023–2027.
The major drivers include the need for accelerated drug discovery, the complexity of biological data, advancements in machine learning algorithms, availability of large datasets, and potential cost savings in research and development.
The market has witnessed significant investment from both pharmaceutical companies and venture capitalists in AI startups specializing in drug development. Partnerships between technology firms and pharmaceutical companies are becoming more common.
The AI drug development market is expected to continue expanding, with AI becoming an integral part of drug discovery and development processes. Advancements in AI algorithms and increased availability of high-quality data are likely to drive further innovation.
TABLE OF CONTENT
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence Drug Development Market Size Growth Rate by Type: 2018 VS 2023 VS 2032
1.2.2 Drug Design
1.2.3 Drug Synthesis
1.2.4 Other
1.3 Market by Application
1.3.1 Global Artificial Intelligence Drug Development Market Growth by Application: 2018 VS 2023 VS 2032
1.3.2 Tumor
1.3.3 Nervous System
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence Drug Development Market Perspective (2017-2032)
2.2 Artificial Intelligence Drug Development Growth Trends by Region
2.2.1 Global Artificial Intelligence Drug Development Market Size by Region: 2018 VS 2023 VS 2032
2.2.2 Artificial Intelligence Drug Development Historic Market Size by Region (2017-2023)
2.2.3 Artificial Intelligence Drug Development Forecasted Market Size by Region (2023-2032)
2.3 Artificial Intelligence Drug Development Market Dynamics
2.3.1 Artificial Intelligence Drug Development Industry Trends
2.3.2 Artificial Intelligence Drug Development Market Drivers
2.3.3 Artificial Intelligence Drug Development Market Challenges
2.3.4 Artificial Intelligence Drug Development Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence Drug Development Players by Revenue
3.1.1 Global Top Artificial Intelligence Drug Development Players by Revenue (2017-2023)
3.1.2 Global Artificial Intelligence Drug Development Revenue Market Share by Players (2017-2023)
3.2 Global Artificial Intelligence Drug Development Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence Drug Development Revenue
3.4 Global Artificial Intelligence Drug Development Market Concentration Ratio
3.4.1 Global Artificial Intelligence Drug Development Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence Drug Development Revenue in 2022
3.5 Artificial Intelligence Drug Development Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence Drug Development Product Solution and Service
3.7 Date of Enter into Artificial Intelligence Drug Development Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence Drug Development Breakdown Data by Type
4.1 Global Artificial Intelligence Drug Development Historic Market Size by Type (2017-2023)
4.2 Global Artificial Intelligence Drug Development Forecasted Market Size by Type (2023-2032)
5 Artificial Intelligence Drug Development Breakdown Data by Application
5.1 Global Artificial Intelligence Drug Development Historic Market Size by Application (2017-2023)
5.2 Global Artificial Intelligence Drug Development Forecasted Market Size by Application (2023-2032)
6 North America
6.1 North America Artificial Intelligence Drug Development Market Size (2017-2032)
6.2 North America Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
6.3 North America Artificial Intelligence Drug Development Market Size by Country (2017-2023)
6.4 North America Artificial Intelligence Drug Development Market Size by Country (2023-2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence Drug Development Market Size (2017-2032)
7.2 Europe Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
7.3 Europe Artificial Intelligence Drug Development Market Size by Country (2017-2023)
7.4 Europe Artificial Intelligence Drug Development Market Size by Country (2023-2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence Drug Development Market Size (2017-2032)
8.2 Asia-Pacific Artificial Intelligence Drug Development Market Growth Rate by Region: 2018 VS 2023 VS 2032
8.3 Asia-Pacific Artificial Intelligence Drug Development Market Size by Region (2017-2023)
8.4 Asia-Pacific Artificial Intelligence Drug Development Market Size by Region (2023-2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence Drug Development Market Size (2017-2032)
9.2 Latin America Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
9.3 Latin America Artificial Intelligence Drug Development Market Size by Country (2017-2023)
9.4 Latin America Artificial Intelligence Drug Development Market Size by Country (2023-2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence Drug Development Market Size (2017-2032)
10.2 Middle East & Africa Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
10.3 Middle East & Africa Artificial Intelligence Drug Development Market Size by Country (2017-2023)
10.4 Middle East & Africa Artificial Intelligence Drug Development Market Size by Country (2023-2032)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Insilico Medicine
11.1.1 Insilico Medicine Company Detail
11.1.2 Insilico Medicine Business Overview
11.1.3 Insilico Medicine Artificial Intelligence Drug Development Introduction
11.1.4 Insilico Medicine Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.1.5 Insilico Medicine Recent Development
11.2 Cyclica
11.2.1 Cyclica Company Detail
11.2.2 Cyclica Business Overview
11.2.3 Cyclica Artificial Intelligence Drug Development Introduction
11.2.4 Cyclica Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.2.5 Cyclica Recent Development
11.3 XtalPi Inc.
11.3.1 XtalPi Inc. Company Detail
11.3.2 XtalPi Inc. Business Overview
11.3.3 XtalPi Inc. Artificial Intelligence Drug Development Introduction
11.3.4 XtalPi Inc. Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.3.5 XtalPi Inc. Recent Development
11.4 Exscientia Limited
11.4.1 Exscientia Limited Company Detail
11.4.2 Exscientia Limited Business Overview
11.4.3 Exscientia Limited Artificial Intelligence Drug Development Introduction
11.4.4 Exscientia Limited Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.4.5 Exscientia Limited Recent Development
11.5 AiCure, LLC
11.5.1 AiCure, LLC Company Detail
11.5.2 AiCure, LLC Business Overview
11.5.3 AiCure, LLC Artificial Intelligence Drug Development Introduction
11.5.4 AiCure, LLC Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.5.5 AiCure, LLC Recent Development
11.6 Atomwise
11.6.1 Atomwise Company Detail
11.6.2 Atomwise Business Overview
11.6.3 Atomwise Artificial Intelligence Drug Development Introduction
11.6.4 Atomwise Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.6.5 Atomwise Recent Development
11.7 Biovista Inc.
11.7.1 Biovista Inc. Company Detail
11.7.2 Biovista Inc. Business Overview
11.7.3 Biovista Inc. Artificial Intelligence Drug Development Introduction
11.7.4 Biovista Inc. Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.7.5 Biovista Inc. Recent Development
11.8 Breg，Inc.
11.8.1 Breg，Inc. Company Detail
11.8.2 Breg，Inc. Business Overview
11.8.3 Breg，Inc. Artificial Intelligence Drug Development Introduction
11.8.4 Breg，Inc. Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.8.5 Breg，Inc. Recent Development
11.9 Numerate
11.9.1 Numerate Company Detail
11.9.2 Numerate Business Overview
11.9.3 Numerate Artificial Intelligence Drug Development Introduction
11.9.4 Numerate Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.9.5 Numerate Recent Development
11.10 Cloud Pharmaceuticals
11.10.1 Cloud Pharmaceuticals Company Detail
11.10.2 Cloud Pharmaceuticals Business Overview
11.10.3 Cloud Pharmaceuticals Artificial Intelligence Drug Development Introduction
11.10.4 Cloud Pharmaceuticals Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.10.5 Cloud Pharmaceuticals Recent Development
11.11 IBM
11.11.1 IBM Company Detail
11.11.2 IBM Business Overview
11.11.3 IBM Artificial Intelligence Drug Development Introduction
11.11.4 IBM Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.11.5 IBM Recent Development
11.12 NuMedii
11.12.1 NuMedii Company Detail
11.12.2 NuMedii Business Overview
11.12.3 NuMedii Artificial Intelligence Drug Development Introduction
11.12.4 NuMedii Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.12.5 NuMedii Recent Development
11.13 BenevolentAI
11.13.1 BenevolentAI Company Detail
11.13.2 BenevolentAI Business Overview
11.13.3 BenevolentAI Artificial Intelligence Drug Development Introduction
11.13.4 BenevolentAI Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.13.5 BenevolentAI Recent Development
11.14 Lam Therapeutics
11.14.1 Lam Therapeutics Company Detail
11.14.2 Lam Therapeutics Business Overview
11.14.3 Lam Therapeutics Artificial Intelligence Drug Development Introduction
11.14.4 Lam Therapeutics Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.14.5 Lam Therapeutics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence Drug Development Market Size Growth Rate by Type: 2018 VS 2023 VS 2032
1.2.2 Drug Design
1.2.3 Drug Synthesis
1.2.4 Other
1.3 Market by Application
1.3.1 Global Artificial Intelligence Drug Development Market Growth by Application: 2018 VS 2023 VS 2032
1.3.2 Tumor
1.3.3 Nervous System
1.3.4 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence Drug Development Market Perspective (2017-2032)
2.2 Artificial Intelligence Drug Development Growth Trends by Region
2.2.1 Global Artificial Intelligence Drug Development Market Size by Region: 2018 VS 2023 VS 2032
2.2.2 Artificial Intelligence Drug Development Historic Market Size by Region (2017-2023)
2.2.3 Artificial Intelligence Drug Development Forecasted Market Size by Region (2023-2032)
2.3 Artificial Intelligence Drug Development Market Dynamics
2.3.1 Artificial Intelligence Drug Development Industry Trends
2.3.2 Artificial Intelligence Drug Development Market Drivers
2.3.3 Artificial Intelligence Drug Development Market Challenges
2.3.4 Artificial Intelligence Drug Development Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence Drug Development Players by Revenue
3.1.1 Global Top Artificial Intelligence Drug Development Players by Revenue (2017-2023)
3.1.2 Global Artificial Intelligence Drug Development Revenue Market Share by Players (2017-2023)
3.2 Global Artificial Intelligence Drug Development Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence Drug Development Revenue
3.4 Global Artificial Intelligence Drug Development Market Concentration Ratio
3.4.1 Global Artificial Intelligence Drug Development Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence Drug Development Revenue in 2022
3.5 Artificial Intelligence Drug Development Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence Drug Development Product Solution and Service
3.7 Date of Enter into Artificial Intelligence Drug Development Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence Drug Development Breakdown Data by Type
4.1 Global Artificial Intelligence Drug Development Historic Market Size by Type (2017-2023)
4.2 Global Artificial Intelligence Drug Development Forecasted Market Size by Type (2023-2032)
5 Artificial Intelligence Drug Development Breakdown Data by Application
5.1 Global Artificial Intelligence Drug Development Historic Market Size by Application (2017-2023)
5.2 Global Artificial Intelligence Drug Development Forecasted Market Size by Application (2023-2032)
6 North America
6.1 North America Artificial Intelligence Drug Development Market Size (2017-2032)
6.2 North America Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
6.3 North America Artificial Intelligence Drug Development Market Size by Country (2017-2023)
6.4 North America Artificial Intelligence Drug Development Market Size by Country (2023-2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence Drug Development Market Size (2017-2032)
7.2 Europe Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
7.3 Europe Artificial Intelligence Drug Development Market Size by Country (2017-2023)
7.4 Europe Artificial Intelligence Drug Development Market Size by Country (2023-2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence Drug Development Market Size (2017-2032)
8.2 Asia-Pacific Artificial Intelligence Drug Development Market Growth Rate by Region: 2018 VS 2023 VS 2032
8.3 Asia-Pacific Artificial Intelligence Drug Development Market Size by Region (2017-2023)
8.4 Asia-Pacific Artificial Intelligence Drug Development Market Size by Region (2023-2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence Drug Development Market Size (2017-2032)
9.2 Latin America Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
9.3 Latin America Artificial Intelligence Drug Development Market Size by Country (2017-2023)
9.4 Latin America Artificial Intelligence Drug Development Market Size by Country (2023-2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence Drug Development Market Size (2017-2032)
10.2 Middle East & Africa Artificial Intelligence Drug Development Market Growth Rate by Country: 2018 VS 2023 VS 2032
10.3 Middle East & Africa Artificial Intelligence Drug Development Market Size by Country (2017-2023)
10.4 Middle East & Africa Artificial Intelligence Drug Development Market Size by Country (2023-2032)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Insilico Medicine
11.1.1 Insilico Medicine Company Detail
11.1.2 Insilico Medicine Business Overview
11.1.3 Insilico Medicine Artificial Intelligence Drug Development Introduction
11.1.4 Insilico Medicine Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.1.5 Insilico Medicine Recent Development
11.2 Cyclica
11.2.1 Cyclica Company Detail
11.2.2 Cyclica Business Overview
11.2.3 Cyclica Artificial Intelligence Drug Development Introduction
11.2.4 Cyclica Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.2.5 Cyclica Recent Development
11.3 XtalPi Inc.
11.3.1 XtalPi Inc. Company Detail
11.3.2 XtalPi Inc. Business Overview
11.3.3 XtalPi Inc. Artificial Intelligence Drug Development Introduction
11.3.4 XtalPi Inc. Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.3.5 XtalPi Inc. Recent Development
11.4 Exscientia Limited
11.4.1 Exscientia Limited Company Detail
11.4.2 Exscientia Limited Business Overview
11.4.3 Exscientia Limited Artificial Intelligence Drug Development Introduction
11.4.4 Exscientia Limited Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.4.5 Exscientia Limited Recent Development
11.5 AiCure, LLC
11.5.1 AiCure, LLC Company Detail
11.5.2 AiCure, LLC Business Overview
11.5.3 AiCure, LLC Artificial Intelligence Drug Development Introduction
11.5.4 AiCure, LLC Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.5.5 AiCure, LLC Recent Development
11.6 Atomwise
11.6.1 Atomwise Company Detail
11.6.2 Atomwise Business Overview
11.6.3 Atomwise Artificial Intelligence Drug Development Introduction
11.6.4 Atomwise Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.6.5 Atomwise Recent Development
11.7 Biovista Inc.
11.7.1 Biovista Inc. Company Detail
11.7.2 Biovista Inc. Business Overview
11.7.3 Biovista Inc. Artificial Intelligence Drug Development Introduction
11.7.4 Biovista Inc. Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.7.5 Biovista Inc. Recent Development
11.8 Breg，Inc.
11.8.1 Breg，Inc. Company Detail
11.8.2 Breg，Inc. Business Overview
11.8.3 Breg，Inc. Artificial Intelligence Drug Development Introduction
11.8.4 Breg，Inc. Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.8.5 Breg，Inc. Recent Development
11.9 Numerate
11.9.1 Numerate Company Detail
11.9.2 Numerate Business Overview
11.9.3 Numerate Artificial Intelligence Drug Development Introduction
11.9.4 Numerate Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.9.5 Numerate Recent Development
11.10 Cloud Pharmaceuticals
11.10.1 Cloud Pharmaceuticals Company Detail
11.10.2 Cloud Pharmaceuticals Business Overview
11.10.3 Cloud Pharmaceuticals Artificial Intelligence Drug Development Introduction
11.10.4 Cloud Pharmaceuticals Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.10.5 Cloud Pharmaceuticals Recent Development
11.11 IBM
11.11.1 IBM Company Detail
11.11.2 IBM Business Overview
11.11.3 IBM Artificial Intelligence Drug Development Introduction
11.11.4 IBM Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.11.5 IBM Recent Development
11.12 NuMedii
11.12.1 NuMedii Company Detail
11.12.2 NuMedii Business Overview
11.12.3 NuMedii Artificial Intelligence Drug Development Introduction
11.12.4 NuMedii Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.12.5 NuMedii Recent Development
11.13 BenevolentAI
11.13.1 BenevolentAI Company Detail
11.13.2 BenevolentAI Business Overview
11.13.3 BenevolentAI Artificial Intelligence Drug Development Introduction
11.13.4 BenevolentAI Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.13.5 BenevolentAI Recent Development
11.14 Lam Therapeutics
11.14.1 Lam Therapeutics Company Detail
11.14.2 Lam Therapeutics Business Overview
11.14.3 Lam Therapeutics Artificial Intelligence Drug Development Introduction
11.14.4 Lam Therapeutics Revenue in Artificial Intelligence Drug Development Business (2017-2023)
11.14.5 Lam Therapeutics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Insilico Medicine
Cyclica
XtalPi Inc.
Exscientia Limited
AiCure, LLC
Atomwise
Biovista Inc.
Breg，Inc.
Numerate
Cloud Pharmaceuticals
IBM
NuMedii
BenevolentAI
Lam Therapeutics
Cyclica
XtalPi Inc.
Exscientia Limited
AiCure, LLC
Atomwise
Biovista Inc.
Breg，Inc.
Numerate
Cloud Pharmaceuticals
IBM
NuMedii
BenevolentAI
Lam Therapeutics
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