The global market for Artificial Intelligence in Drug Discovery was estimated to be worth US$ 2281 million in 2024 and is forecast to a readjusted size of US$ 14511 million by 2031 with a CAGR of 30.7% during the forecast period 2025-2031.
Artificial intelligence in medicine is the use of machine learning models to search medical data and uncover insights to help improve health outcomes and patient experiences. Thanks to recent advances in computer science and informatics, artificial intelligence (AI) is quickly becoming an integral part of modern healthcare. AI algorithms and other applications powered by AI are being used to support medical professionals in clinical settings and in ongoing research. Currently, the most common roles for AI in medical settings are clinical decision support and imaging analysis. Clinical decision support tools help providers make decisions about treatments, medications, mental health and other patient needs by providing them with quick access to information or research that's relevant to their patient. Drug discovery is often one of the longest and most costly parts of drug development. AI could help reduce the costs of developing new medicines in primarily two ways: creating better drug designs and finding promising new drug combinations. With AI, many of the big data challenges facing the life sciences industry could be overcome.
The market for artificial intelligence (AI) in drug discovery is driven by the urgent need to accelerate and reduce the cost of developing new therapeutics, as traditional drug discovery is often slow, expensive, and prone to high failure rates. AI enables rapid identification of drug candidates, predictive modeling of drug-target interactions, and optimization of clinical trial design, significantly shortening development timelines. The explosion of biomedical data, including genomics, proteomics, and real-world clinical datasets, provides a rich foundation for AI algorithms to uncover novel insights. Additionally, rising investment from pharmaceutical companies, biotech firms, and venture capital in AI-driven platforms-combined with advances in deep learning, natural language processing, and generative models-is propelling adoption. Regulatory agencies' increasing openness to AI-assisted drug development workflows also supports the growth of this transformative sector.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Drug Discovery, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Drug Discovery by region & country, by Type, and by Application.
The Artificial Intelligence in Drug Discovery market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Drug Discovery.
Market Segmentation
By Company
- IBM
- Exscientia
- Google(Alphabet)
- Microsoft
- Atomwise
- Schrodinger
- Aitia
- Insilico Medicine
- NVIDIA
- XtalPi
- BPGbio
- Owkin
- CytoReason
- Deep Genomics
- Cloud Pharmaceuticals
- BenevolentAI
- Cyclica
- Verge Genomics
- Valo Health
- Envisagenics
- Euretos
- BioAge Labs
- Iktos
- BioSymetrics
- Evaxion Biotech
- Aria Pharmaceuticals, Inc
Segment by Type
- Hardware
- Software
- Service
Segment by Application
- Early Drug Discovery
- Preclinical Phase
- Clinical Phase
- Regulatory Approval
By Region
- North America
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in Drug Discovery company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence in Drug Discovery in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in Drug Discovery in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
- 1.1 Artificial Intelligence in Drug Discovery Product Introduction
- 1.2 Global Artificial Intelligence in Drug Discovery Market Size Forecast (2020-2031)
- 1.3 Artificial Intelligence in Drug Discovery Market Trends & Drivers
- 1.3.1 Artificial Intelligence in Drug Discovery Industry Trends
- 1.3.2 Artificial Intelligence in Drug Discovery Market Drivers & Opportunity
- 1.3.3 Artificial Intelligence in Drug Discovery Market Challenges
- 1.3.4 Artificial Intelligence in Drug Discovery Market Restraints
- 1.4 Assumptions and Limitations
- 1.5 Study Objectives
- 1.6 Years Considered
2 Competitive Analysis by Company
- 2.1 Global Artificial Intelligence in Drug Discovery Players Revenue Ranking (2024)
- 2.2 Global Artificial Intelligence in Drug Discovery Revenue by Company (2020-2025)
- 2.3 Key Companies Artificial Intelligence in Drug Discovery Manufacturing Base Distribution and Headquarters
- 2.4 Key Companies Artificial Intelligence in Drug Discovery Product Offered
- 2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Drug Discovery
- 2.6 Artificial Intelligence in Drug Discovery Market Competitive Analysis
- 2.6.1 Artificial Intelligence in Drug Discovery Market Concentration Rate (2020-2025)
- 2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Drug Discovery Revenue in 2024
- 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Drug Discovery as of 2024)
- 2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
- 3.1 Introduction by Type
- 3.1.1 Hardware
- 3.1.2 Software
- 3.1.3 Service
- 3.2 Global Artificial Intelligence in Drug Discovery Sales Value by Type
- 3.2.1 Global Artificial Intelligence in Drug Discovery Sales Value by Type (2020 VS 2024 VS 2031)
- 3.2.2 Global Artificial Intelligence in Drug Discovery Sales Value, by Type (2020-2031)
- 3.2.3 Global Artificial Intelligence in Drug Discovery Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
- 4.1 Introduction by Application
- 4.1.1 Early Drug Discovery
- 4.1.2 Preclinical Phase
- 4.1.3 Clinical Phase
- 4.1.4 Regulatory Approval
- 4.2 Global Artificial Intelligence in Drug Discovery Sales Value by Application
- 4.2.1 Global Artificial Intelligence in Drug Discovery Sales Value by Application (2020 VS 2024 VS 2031)
- 4.2.2 Global Artificial Intelligence in Drug Discovery Sales Value, by Application (2020-2031)
- 4.2.3 Global Artificial Intelligence in Drug Discovery Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
- 5.1 Global Artificial Intelligence in Drug Discovery Sales Value by Region
- 5.1.1 Global Artificial Intelligence in Drug Discovery Sales Value by Region: 2020 VS 2024 VS 2031
- 5.1.2 Global Artificial Intelligence in Drug Discovery Sales Value by Region (2020-2025)
- 5.1.3 Global Artificial Intelligence in Drug Discovery Sales Value by Region (2026-2031)
- 5.1.4 Global Artificial Intelligence in Drug Discovery Sales Value by Region (%), (2020-2031)
- 5.2 North America
- 5.2.1 North America Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 5.2.2 North America Artificial Intelligence in Drug Discovery Sales Value by Country (%), 2024 VS 2031
- 5.3 Europe
- 5.3.1 Europe Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 5.3.2 Europe Artificial Intelligence in Drug Discovery Sales Value by Country (%), 2024 VS 2031
- 5.4 Asia Pacific
- 5.4.1 Asia Pacific Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 5.4.2 Asia Pacific Artificial Intelligence in Drug Discovery Sales Value by Region (%), 2024 VS 2031
- 5.5 South America
- 5.5.1 South America Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 5.5.2 South America Artificial Intelligence in Drug Discovery Sales Value by Country (%), 2024 VS 2031
- 5.6 Middle East & Africa
- 5.6.1 Middle East & Africa Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 5.6.2 Middle East & Africa Artificial Intelligence in Drug Discovery Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
- 6.1 Key Countries/Regions Artificial Intelligence in Drug Discovery Sales Value Growth Trends, 2020 VS 2024 VS 2031
- 6.2 Key Countries/Regions Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.3 United States
- 6.3.1 United States Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.3.2 United States Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.3.3 United States Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
- 6.4 Europe
- 6.4.1 Europe Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.4.2 Europe Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.4.3 Europe Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
- 6.5 China
- 6.5.1 China Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.5.2 China Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.5.3 China Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
- 6.6 Japan
- 6.6.1 Japan Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.6.2 Japan Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.6.3 Japan Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
- 6.7 South Korea
- 6.7.1 South Korea Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.7.2 South Korea Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.7.3 South Korea Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
- 6.8 Southeast Asia
- 6.8.1 Southeast Asia Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.8.2 Southeast Asia Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.8.3 Southeast Asia Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
- 6.9 India
- 6.9.1 India Artificial Intelligence in Drug Discovery Sales Value, 2020-2031
- 6.9.2 India Artificial Intelligence in Drug Discovery Sales Value by Type (%), 2024 VS 2031
- 6.9.3 India Artificial Intelligence in Drug Discovery Sales Value by Application, 2024 VS 2031
7 Company Profiles
- 7.1 IBM
- 7.1.1 IBM Profile
- 7.1.2 IBM Main Business
- 7.1.3 IBM Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.1.4 IBM Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.1.5 IBM Recent Developments
- 7.2 Exscientia
- 7.2.1 Exscientia Profile
- 7.2.2 Exscientia Main Business
- 7.2.3 Exscientia Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.2.4 Exscientia Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.2.5 Exscientia Recent Developments
- 7.3 Google(Alphabet)
- 7.3.1 Google(Alphabet) Profile
- 7.3.2 Google(Alphabet) Main Business
- 7.3.3 Google(Alphabet) Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.3.4 Google(Alphabet) Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.3.5 Google(Alphabet) Recent Developments
- 7.4 Microsoft
- 7.4.1 Microsoft Profile
- 7.4.2 Microsoft Main Business
- 7.4.3 Microsoft Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.4.4 Microsoft Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.4.5 Microsoft Recent Developments
- 7.5 Atomwise
- 7.5.1 Atomwise Profile
- 7.5.2 Atomwise Main Business
- 7.5.3 Atomwise Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.5.4 Atomwise Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.5.5 Atomwise Recent Developments
- 7.6 Schrodinger
- 7.6.1 Schrodinger Profile
- 7.6.2 Schrodinger Main Business
- 7.6.3 Schrodinger Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.6.4 Schrodinger Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.6.5 Schrodinger Recent Developments
- 7.7 Aitia
- 7.7.1 Aitia Profile
- 7.7.2 Aitia Main Business
- 7.7.3 Aitia Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.7.4 Aitia Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.7.5 Aitia Recent Developments
- 7.8 Insilico Medicine
- 7.8.1 Insilico Medicine Profile
- 7.8.2 Insilico Medicine Main Business
- 7.8.3 Insilico Medicine Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.8.4 Insilico Medicine Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.8.5 Insilico Medicine Recent Developments
- 7.9 NVIDIA
- 7.9.1 NVIDIA Profile
- 7.9.2 NVIDIA Main Business
- 7.9.3 NVIDIA Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.9.4 NVIDIA Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.9.5 NVIDIA Recent Developments
- 7.10 XtalPi
- 7.10.1 XtalPi Profile
- 7.10.2 XtalPi Main Business
- 7.10.3 XtalPi Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.10.4 XtalPi Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.10.5 XtalPi Recent Developments
- 7.11 BPGbio
- 7.11.1 BPGbio Profile
- 7.11.2 BPGbio Main Business
- 7.11.3 BPGbio Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.11.4 BPGbio Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.11.5 BPGbio Recent Developments
- 7.12 Owkin
- 7.12.1 Owkin Profile
- 7.12.2 Owkin Main Business
- 7.12.3 Owkin Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.12.4 Owkin Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.12.5 Owkin Recent Developments
- 7.13 CytoReason
- 7.13.1 CytoReason Profile
- 7.13.2 CytoReason Main Business
- 7.13.3 CytoReason Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.13.4 CytoReason Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.13.5 CytoReason Recent Developments
- 7.14 Deep Genomics
- 7.14.1 Deep Genomics Profile
- 7.14.2 Deep Genomics Main Business
- 7.14.3 Deep Genomics Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.14.4 Deep Genomics Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.14.5 Deep Genomics Recent Developments
- 7.15 Cloud Pharmaceuticals
- 7.15.1 Cloud Pharmaceuticals Profile
- 7.15.2 Cloud Pharmaceuticals Main Business
- 7.15.3 Cloud Pharmaceuticals Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.15.4 Cloud Pharmaceuticals Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.15.5 Cloud Pharmaceuticals Recent Developments
- 7.16 BenevolentAI
- 7.16.1 BenevolentAI Profile
- 7.16.2 BenevolentAI Main Business
- 7.16.3 BenevolentAI Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.16.4 BenevolentAI Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.16.5 BenevolentAI Recent Developments
- 7.17 Cyclica
- 7.17.1 Cyclica Profile
- 7.17.2 Cyclica Main Business
- 7.17.3 Cyclica Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.17.4 Cyclica Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.17.5 Cyclica Recent Developments
- 7.18 Verge Genomics
- 7.18.1 Verge Genomics Profile
- 7.18.2 Verge Genomics Main Business
- 7.18.3 Verge Genomics Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.18.4 Verge Genomics Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.18.5 Verge Genomics Recent Developments
- 7.19 Valo Health
- 7.19.1 Valo Health Profile
- 7.19.2 Valo Health Main Business
- 7.19.3 Valo Health Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.19.4 Valo Health Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.19.5 Valo Health Recent Developments
- 7.20 Envisagenics
- 7.20.1 Envisagenics Profile
- 7.20.2 Envisagenics Main Business
- 7.20.3 Envisagenics Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.20.4 Envisagenics Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.20.5 Envisagenics Recent Developments
- 7.21 Euretos
- 7.21.1 Euretos Profile
- 7.21.2 Euretos Main Business
- 7.21.3 Euretos Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.21.4 Euretos Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.21.5 Euretos Recent Developments
- 7.22 BioAge Labs
- 7.22.1 BioAge Labs Profile
- 7.22.2 BioAge Labs Main Business
- 7.22.3 BioAge Labs Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.22.4 BioAge Labs Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.22.5 BioAge Labs Recent Developments
- 7.23 Iktos
- 7.23.1 Iktos Profile
- 7.23.2 Iktos Main Business
- 7.23.3 Iktos Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.23.4 Iktos Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.23.5 Iktos Recent Developments
- 7.24 BioSymetrics
- 7.24.1 BioSymetrics Profile
- 7.24.2 BioSymetrics Main Business
- 7.24.3 BioSymetrics Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.24.4 BioSymetrics Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.24.5 BioSymetrics Recent Developments
- 7.25 Evaxion Biotech
- 7.25.1 Evaxion Biotech Profile
- 7.25.2 Evaxion Biotech Main Business
- 7.25.3 Evaxion Biotech Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.25.4 Evaxion Biotech Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.25.5 Evaxion Biotech Recent Developments
- 7.26 Aria Pharmaceuticals, Inc
- 7.26.1 Aria Pharmaceuticals, Inc Profile
- 7.26.2 Aria Pharmaceuticals, Inc Main Business
- 7.26.3 Aria Pharmaceuticals, Inc Artificial Intelligence in Drug Discovery Products, Services and Solutions
- 7.26.4 Aria Pharmaceuticals, Inc Artificial Intelligence in Drug Discovery Revenue (US$ Million) & (2020-2025)
- 7.26.5 Aria Pharmaceuticals, Inc Recent Developments
8 Industry Chain Analysis
- 8.1 Artificial Intelligence in Drug Discovery Industrial Chain
- 8.2 Artificial Intelligence in Drug Discovery Upstream Analysis
- 8.2.1 Key Raw Materials
- 8.2.2 Raw Materials Key Suppliers
- 8.2.3 Manufacturing Cost Structure
- 8.3 Midstream Analysis
- 8.4 Downstream Analysis (Customers Analysis)
- 8.5 Sales Model and Sales Channels
- 8.5.1 Artificial Intelligence in Drug Discovery Sales Model
- 8.5.2 Sales Channel
- 8.5.3 Artificial Intelligence in Drug Discovery Distributors
9 Research Findings and Conclusion
10 Appendix
- 10.1 Research Methodology
- 10.1.1 Methodology/Research Approach
- 10.1.1.1 Research Programs/Design
- 10.1.1.2 Market Size Estimation
- 10.1.1.3 Market Breakdown and Data Triangulation
- 10.1.2 Data Source
- 10.1.2.1 Secondary Sources
- 10.1.2.2 Primary Sources
- 10.2 Author Details
- 10.3 Disclaimer