

The global Artificial Intelligence Drug R&D market size was valued at USD 634.9 million in 2023 and is forecast to a readjusted size of USD 1104.4 million by 2030 with a CAGR of 8.2% during review period.
Artificial Intelligence Drug R&D means that we use AI (narrow AI for now, which specilizing in few tasks) to generate and analyse immense amounts of biological and outcomes data from patients or chem database to predict new targets, or to conclude standard models.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
Report includes an overview of the development of the Artificial Intelligence Drug R&D industry chain, the market status of Drug Discovery (AI Platfrom, Analytics Service), Precision Medicine (AI Platfrom, Analytics Service), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial Intelligence Drug R&D.
Regionally, the report analyzes the Artificial Intelligence Drug R&D markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Artificial Intelligence Drug R&D market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Artificial Intelligence Drug R&D market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Artificial Intelligence Drug R&D industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., AI Platfrom, Analytics Service).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Artificial Intelligence Drug R&D market.
Regional Analysis: The report involves examining the Artificial Intelligence Drug R&D market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Artificial Intelligence Drug R&D market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Artificial Intelligence Drug R&D:
Company Analysis: Report covers individual Artificial Intelligence Drug R&D players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Artificial Intelligence Drug R&D This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Drug Discovery, Precision Medicine).
Technology Analysis: Report covers specific technologies relevant to Artificial Intelligence Drug R&D. It assesses the current state, advancements, and potential future developments in Artificial Intelligence Drug R&D areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Artificial Intelligence Drug R&D market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Artificial Intelligence Drug R&D market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
AI Platfrom
Analytics Service
Market segment by Application
Drug Discovery
Precision Medicine
Market segment by players, this report covers
IBM Watson
BioXel
Insilico Medicine
Gatehouse Bio
Google DeepMind
Genpact Cora
Cyclica Inc
QuantumBlack
Nq Medical
Phenomic AI
Palantir Technologies
BenevolentAI
Atomwise
Numerate
Recursion Pharmaceuticals
Exscientia
TwoXAR
AiCure
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Artificial Intelligence Drug R&D product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial Intelligence Drug R&D, with revenue, gross margin and global market share of Artificial Intelligence Drug R&D from 2019 to 2024.
Chapter 3, the Artificial Intelligence Drug R&D competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Artificial Intelligence Drug R&D market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence Drug R&D.
Chapter 13, to describe Artificial Intelligence Drug R&D research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope of Artificial Intelligence Drug R&D
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Artificial Intelligence Drug R&D by Type
1.3.1 Overview: Global Artificial Intelligence Drug R&D Market Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Artificial Intelligence Drug R&D Consumption Value Market Share by Type in 2023
1.3.3 AI Platfrom
1.3.4 Analytics Service
1.4 Global Artificial Intelligence Drug R&D Market by Application
1.4.1 Overview: Global Artificial Intelligence Drug R&D Market Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Drug Discovery
1.4.3 Precision Medicine
1.5 Global Artificial Intelligence Drug R&D Market Size & Forecast
1.6 Global Artificial Intelligence Drug R&D Market Size and Forecast by Region
1.6.1 Global Artificial Intelligence Drug R&D Market Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Artificial Intelligence Drug R&D Market Size by Region, (2019-2030)
1.6.3 North America Artificial Intelligence Drug R&D Market Size and Prospect (2019-2030)
1.6.4 Europe Artificial Intelligence Drug R&D Market Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Artificial Intelligence Drug R&D Market Size and Prospect (2019-2030)
1.6.6 South America Artificial Intelligence Drug R&D Market Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Artificial Intelligence Drug R&D Market Size and Prospect (2019-2030)
2 Company Profiles
2.1 IBM Watson
2.1.1 IBM Watson Details
2.1.2 IBM Watson Major Business
2.1.3 IBM Watson Artificial Intelligence Drug R&D Product and Solutions
2.1.4 IBM Watson Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.1.5 IBM Watson Recent Developments and Future Plans
2.2 BioXel
2.2.1 BioXel Details
2.2.2 BioXel Major Business
2.2.3 BioXel Artificial Intelligence Drug R&D Product and Solutions
2.2.4 BioXel Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.2.5 BioXel Recent Developments and Future Plans
2.3 Insilico Medicine
2.3.1 Insilico Medicine Details
2.3.2 Insilico Medicine Major Business
2.3.3 Insilico Medicine Artificial Intelligence Drug R&D Product and Solutions
2.3.4 Insilico Medicine Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.3.5 Insilico Medicine Recent Developments and Future Plans
2.4 Gatehouse Bio
2.4.1 Gatehouse Bio Details
2.4.2 Gatehouse Bio Major Business
2.4.3 Gatehouse Bio Artificial Intelligence Drug R&D Product and Solutions
2.4.4 Gatehouse Bio Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.4.5 Gatehouse Bio Recent Developments and Future Plans
2.5 Google DeepMind
2.5.1 Google DeepMind Details
2.5.2 Google DeepMind Major Business
2.5.3 Google DeepMind Artificial Intelligence Drug R&D Product and Solutions
2.5.4 Google DeepMind Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.5.5 Google DeepMind Recent Developments and Future Plans
2.6 Genpact Cora
2.6.1 Genpact Cora Details
2.6.2 Genpact Cora Major Business
2.6.3 Genpact Cora Artificial Intelligence Drug R&D Product and Solutions
2.6.4 Genpact Cora Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.6.5 Genpact Cora Recent Developments and Future Plans
2.7 Cyclica Inc
2.7.1 Cyclica Inc Details
2.7.2 Cyclica Inc Major Business
2.7.3 Cyclica Inc Artificial Intelligence Drug R&D Product and Solutions
2.7.4 Cyclica Inc Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.7.5 Cyclica Inc Recent Developments and Future Plans
2.8 QuantumBlack
2.8.1 QuantumBlack Details
2.8.2 QuantumBlack Major Business
2.8.3 QuantumBlack Artificial Intelligence Drug R&D Product and Solutions
2.8.4 QuantumBlack Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.8.5 QuantumBlack Recent Developments and Future Plans
2.9 Nq Medical
2.9.1 Nq Medical Details
2.9.2 Nq Medical Major Business
2.9.3 Nq Medical Artificial Intelligence Drug R&D Product and Solutions
2.9.4 Nq Medical Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.9.5 Nq Medical Recent Developments and Future Plans
2.10 Phenomic AI
2.10.1 Phenomic AI Details
2.10.2 Phenomic AI Major Business
2.10.3 Phenomic AI Artificial Intelligence Drug R&D Product and Solutions
2.10.4 Phenomic AI Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.10.5 Phenomic AI Recent Developments and Future Plans
2.11 Palantir Technologies
2.11.1 Palantir Technologies Details
2.11.2 Palantir Technologies Major Business
2.11.3 Palantir Technologies Artificial Intelligence Drug R&D Product and Solutions
2.11.4 Palantir Technologies Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.11.5 Palantir Technologies Recent Developments and Future Plans
2.12 BenevolentAI
2.12.1 BenevolentAI Details
2.12.2 BenevolentAI Major Business
2.12.3 BenevolentAI Artificial Intelligence Drug R&D Product and Solutions
2.12.4 BenevolentAI Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.12.5 BenevolentAI Recent Developments and Future Plans
2.13 Atomwise
2.13.1 Atomwise Details
2.13.2 Atomwise Major Business
2.13.3 Atomwise Artificial Intelligence Drug R&D Product and Solutions
2.13.4 Atomwise Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.13.5 Atomwise Recent Developments and Future Plans
2.14 Numerate
2.14.1 Numerate Details
2.14.2 Numerate Major Business
2.14.3 Numerate Artificial Intelligence Drug R&D Product and Solutions
2.14.4 Numerate Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.14.5 Numerate Recent Developments and Future Plans
2.15 Recursion Pharmaceuticals
2.15.1 Recursion Pharmaceuticals Details
2.15.2 Recursion Pharmaceuticals Major Business
2.15.3 Recursion Pharmaceuticals Artificial Intelligence Drug R&D Product and Solutions
2.15.4 Recursion Pharmaceuticals Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.15.5 Recursion Pharmaceuticals Recent Developments and Future Plans
2.16 Exscientia
2.16.1 Exscientia Details
2.16.2 Exscientia Major Business
2.16.3 Exscientia Artificial Intelligence Drug R&D Product and Solutions
2.16.4 Exscientia Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.16.5 Exscientia Recent Developments and Future Plans
2.17 TwoXAR
2.17.1 TwoXAR Details
2.17.2 TwoXAR Major Business
2.17.3 TwoXAR Artificial Intelligence Drug R&D Product and Solutions
2.17.4 TwoXAR Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.17.5 TwoXAR Recent Developments and Future Plans
2.18 AiCure
2.18.1 AiCure Details
2.18.2 AiCure Major Business
2.18.3 AiCure Artificial Intelligence Drug R&D Product and Solutions
2.18.4 AiCure Artificial Intelligence Drug R&D Revenue, Gross Margin and Market Share (2019-2024)
2.18.5 AiCure Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Artificial Intelligence Drug R&D Revenue and Share by Players (2019-2024)
3.2 Market Share Analysis (2023)
3.2.1 Market Share of Artificial Intelligence Drug R&D by Company Revenue
3.2.2 Top 3 Artificial Intelligence Drug R&D Players Market Share in 2023
3.2.3 Top 6 Artificial Intelligence Drug R&D Players Market Share in 2023
3.3 Artificial Intelligence Drug R&D Market: Overall Company Footprint Analysis
3.3.1 Artificial Intelligence Drug R&D Market: Region Footprint
3.3.2 Artificial Intelligence Drug R&D Market: Company Product Type Footprint
3.3.3 Artificial Intelligence Drug R&D Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Artificial Intelligence Drug R&D Consumption Value and Market Share by Type (2019-2024)
4.2 Global Artificial Intelligence Drug R&D Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
5.1 Global Artificial Intelligence Drug R&D Consumption Value Market Share by Application (2019-2024)
5.2 Global Artificial Intelligence Drug R&D Market Forecast by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence Drug R&D Consumption Value by Type (2019-2030)
6.2 North America Artificial Intelligence Drug R&D Consumption Value by Application (2019-2030)
6.3 North America Artificial Intelligence Drug R&D Market Size by Country
6.3.1 North America Artificial Intelligence Drug R&D Consumption Value by Country (2019-2030)
6.3.2 United States Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
6.3.3 Canada Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
6.3.4 Mexico Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
7 Europe
7.1 Europe Artificial Intelligence Drug R&D Consumption Value by Type (2019-2030)
7.2 Europe Artificial Intelligence Drug R&D Consumption Value by Application (2019-2030)
7.3 Europe Artificial Intelligence Drug R&D Market Size by Country
7.3.1 Europe Artificial Intelligence Drug R&D Consumption Value by Country (2019-2030)
7.3.2 Germany Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
7.3.3 France Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
7.3.4 United Kingdom Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
7.3.5 Russia Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
7.3.6 Italy Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence Drug R&D Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Artificial Intelligence Drug R&D Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Artificial Intelligence Drug R&D Market Size by Region
8.3.1 Asia-Pacific Artificial Intelligence Drug R&D Consumption Value by Region (2019-2030)
8.3.2 China Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
8.3.3 Japan Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
8.3.4 South Korea Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
8.3.5 India Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
8.3.6 Southeast Asia Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
8.3.7 Australia Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
9 South America
9.1 South America Artificial Intelligence Drug R&D Consumption Value by Type (2019-2030)
9.2 South America Artificial Intelligence Drug R&D Consumption Value by Application (2019-2030)
9.3 South America Artificial Intelligence Drug R&D Market Size by Country
9.3.1 South America Artificial Intelligence Drug R&D Consumption Value by Country (2019-2030)
9.3.2 Brazil Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
9.3.3 Argentina Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence Drug R&D Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Artificial Intelligence Drug R&D Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Artificial Intelligence Drug R&D Market Size by Country
10.3.1 Middle East & Africa Artificial Intelligence Drug R&D Consumption Value by Country (2019-2030)
10.3.2 Turkey Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
10.3.4 UAE Artificial Intelligence Drug R&D Market Size and Forecast (2019-2030)
11 Market Dynamics
11.1 Artificial Intelligence Drug R&D Market Drivers
11.2 Artificial Intelligence Drug R&D Market Restraints
11.3 Artificial Intelligence Drug R&D Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Artificial Intelligence Drug R&D Industry Chain
12.2 Artificial Intelligence Drug R&D Upstream Analysis
12.3 Artificial Intelligence Drug R&D Midstream Analysis
12.4 Artificial Intelligence Drug R&D Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
IBM Watson
BioXel
Insilico Medicine
Gatehouse Bio
Google DeepMind
Genpact Cora
Cyclica Inc
QuantumBlack
Nq Medical
Phenomic AI
Palantir Technologies
BenevolentAI
Atomwise
Numerate
Recursion Pharmaceuticals
Exscientia
TwoXAR
AiCure
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*If Applicable.