Industry: Service & Software
Published Date: 2025-09-10
Pages: 122 Pages
Report ld: 4924135
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Artificial Intelligence in Drug Discovery Market Size(US$)

CAGR 2025-2031
30.7%
Market Size,2031
USD 14,511
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Artificial Intelligence in Drug Discovery market size was 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.
The global Artificial Intelligence in Drug Discovery market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of Artificial Intelligence in Drug Discovery market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., Software in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., Preclinical Phase in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Artificial Intelligence in Drug Discovery value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Early Drug Discovery
1.3.3 Preclinical Phase
1.3.4 Clinical Phase
1.3.5 Regulatory Approval
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Drug Discovery Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global Artificial Intelligence in Drug Discovery Revenue Market Share by Region (2020-2025)
2.4 Global Artificial Intelligence in Drug Discovery Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America Artificial Intelligence in Drug Discovery Market Size and Prospective (2020-2031)
2.5.2 Europe Artificial Intelligence in Drug Discovery Market Size and Prospective (2020-2031)
2.5.3 China Artificial Intelligence in Drug Discovery Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global Artificial Intelligence in Drug Discovery Historic Market Size by Type (2020-2025)
3.2 Global Artificial Intelligence in Drug Discovery Forecasted Market Size by Type (2026-2031)
3.3 Different Types Artificial Intelligence in Drug Discovery Representative Players
4 Breakdown Data by Application
4.1 Global Artificial Intelligence in Drug Discovery Historic Market Size by Application (2020-2025)
4.2 Global Artificial Intelligence in Drug Discovery Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in Artificial Intelligence in Drug Discovery Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Artificial Intelligence in Drug Discovery Players by Revenue (2020-2025)
5.1.2 Global Artificial Intelligence in Drug Discovery Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Artificial Intelligence in Drug Discovery Revenue
5.4 Global Artificial Intelligence in Drug Discovery Market Concentration Analysis
5.4.1 Global Artificial Intelligence in Drug Discovery Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Drug Discovery Revenue in 2024
5.5 Global Key Players of Artificial Intelligence in Drug Discovery Head office and Area Served
5.6 Global Key Players of Artificial Intelligence in Drug Discovery, Product and Application
5.7 Global Key Players of Artificial Intelligence in Drug Discovery, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America Artificial Intelligence in Drug Discovery Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America Artificial Intelligence in Drug Discovery Market Size by Type (2020-2025)
6.1.2.2 North America Artificial Intelligence in Drug Discovery Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America Artificial Intelligence in Drug Discovery Market Size by Application (2020-2025)
6.1.3.2 North America Artificial Intelligence in Drug Discovery Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe Artificial Intelligence in Drug Discovery Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Artificial Intelligence in Drug Discovery Market Size by Type (2020-2025)
6.2.2.2 Europe Artificial Intelligence in Drug Discovery Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Artificial Intelligence in Drug Discovery Market Size by Application (2020-2025)
6.2.3.2 Europe Artificial Intelligence in Drug Discovery Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 China Market: Players, Segments and Downstream
6.3.1 China Artificial Intelligence in Drug Discovery Revenue by Company (2020-2025)
6.3.2 China Market Size by Type
6.3.2.1 China Artificial Intelligence in Drug Discovery Market Size by Type (2020-2025)
6.3.2.2 China Artificial Intelligence in Drug Discovery Market Share by Type (2020-2025)
6.3.3 China Market Size by Application
6.3.3.1 China Artificial Intelligence in Drug Discovery Market Size by Application (2020-2025)
6.3.3.2 China Artificial Intelligence in Drug Discovery Market Share by Application (2020-2025)
6.3.4 China Market Trend and Opportunities
7 Key Players Profiles
7.1 IBM
7.1.1 IBM Company Details
7.1.2 IBM Business Overview
7.1.3 IBM Artificial Intelligence in Drug Discovery Introduction
7.1.4 IBM Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.1.5 IBM Recent Development
7.2 Exscientia
7.2.1 Exscientia Company Details
7.2.2 Exscientia Business Overview
7.2.3 Exscientia Artificial Intelligence in Drug Discovery Introduction
7.2.4 Exscientia Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.2.5 Exscientia Recent Development
7.3 Google(Alphabet)
7.3.1 Google(Alphabet) Company Details
7.3.2 Google(Alphabet) Business Overview
7.3.3 Google(Alphabet) Artificial Intelligence in Drug Discovery Introduction
7.3.4 Google(Alphabet) Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.3.5 Google(Alphabet) Recent Development
7.4 Microsoft
7.4.1 Microsoft Company Details
7.4.2 Microsoft Business Overview
7.4.3 Microsoft Artificial Intelligence in Drug Discovery Introduction
7.4.4 Microsoft Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.4.5 Microsoft Recent Development
7.5 Atomwise
7.5.1 Atomwise Company Details
7.5.2 Atomwise Business Overview
7.5.3 Atomwise Artificial Intelligence in Drug Discovery Introduction
7.5.4 Atomwise Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.5.5 Atomwise Recent Development
7.6 Schrodinger
7.6.1 Schrodinger Company Details
7.6.2 Schrodinger Business Overview
7.6.3 Schrodinger Artificial Intelligence in Drug Discovery Introduction
7.6.4 Schrodinger Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.6.5 Schrodinger Recent Development
7.7 Aitia
7.7.1 Aitia Company Details
7.7.2 Aitia Business Overview
7.7.3 Aitia Artificial Intelligence in Drug Discovery Introduction
7.7.4 Aitia Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.7.5 Aitia Recent Development
7.8 Insilico Medicine
7.8.1 Insilico Medicine Company Details
7.8.2 Insilico Medicine Business Overview
7.8.3 Insilico Medicine Artificial Intelligence in Drug Discovery Introduction
7.8.4 Insilico Medicine Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.8.5 Insilico Medicine Recent Development
7.9 NVIDIA
7.9.1 NVIDIA Company Details
7.9.2 NVIDIA Business Overview
7.9.3 NVIDIA Artificial Intelligence in Drug Discovery Introduction
7.9.4 NVIDIA Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.9.5 NVIDIA Recent Development
7.10 XtalPi
7.10.1 XtalPi Company Details
7.10.2 XtalPi Business Overview
7.10.3 XtalPi Artificial Intelligence in Drug Discovery Introduction
7.10.4 XtalPi Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.10.5 XtalPi Recent Development
7.11 BPGbio
7.11.1 BPGbio Company Details
7.11.2 BPGbio Business Overview
7.11.3 BPGbio Artificial Intelligence in Drug Discovery Introduction
7.11.4 BPGbio Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.11.5 BPGbio Recent Development
7.12 Owkin
7.12.1 Owkin Company Details
7.12.2 Owkin Business Overview
7.12.3 Owkin Artificial Intelligence in Drug Discovery Introduction
7.12.4 Owkin Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.12.5 Owkin Recent Development
7.13 CytoReason
7.13.1 CytoReason Company Details
7.13.2 CytoReason Business Overview
7.13.3 CytoReason Artificial Intelligence in Drug Discovery Introduction
7.13.4 CytoReason Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.13.5 CytoReason Recent Development
7.14 Deep Genomics
7.14.1 Deep Genomics Company Details
7.14.2 Deep Genomics Business Overview
7.14.3 Deep Genomics Artificial Intelligence in Drug Discovery Introduction
7.14.4 Deep Genomics Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.14.5 Deep Genomics Recent Development
7.15 Cloud Pharmaceuticals
7.15.1 Cloud Pharmaceuticals Company Details
7.15.2 Cloud Pharmaceuticals Business Overview
7.15.3 Cloud Pharmaceuticals Artificial Intelligence in Drug Discovery Introduction
7.15.4 Cloud Pharmaceuticals Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.15.5 Cloud Pharmaceuticals Recent Development
7.16 BenevolentAI
7.16.1 BenevolentAI Company Details
7.16.2 BenevolentAI Business Overview
7.16.3 BenevolentAI Artificial Intelligence in Drug Discovery Introduction
7.16.4 BenevolentAI Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.16.5 BenevolentAI Recent Development
7.17 Cyclica
7.17.1 Cyclica Company Details
7.17.2 Cyclica Business Overview
7.17.3 Cyclica Artificial Intelligence in Drug Discovery Introduction
7.17.4 Cyclica Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.17.5 Cyclica Recent Development
7.18 Verge Genomics
7.18.1 Verge Genomics Company Details
7.18.2 Verge Genomics Business Overview
7.18.3 Verge Genomics Artificial Intelligence in Drug Discovery Introduction
7.18.4 Verge Genomics Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.18.5 Verge Genomics Recent Development
7.19 Valo Health
7.19.1 Valo Health Company Details
7.19.2 Valo Health Business Overview
7.19.3 Valo Health Artificial Intelligence in Drug Discovery Introduction
7.19.4 Valo Health Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.19.5 Valo Health Recent Development
7.20 Envisagenics
7.20.1 Envisagenics Company Details
7.20.2 Envisagenics Business Overview
7.20.3 Envisagenics Artificial Intelligence in Drug Discovery Introduction
7.20.4 Envisagenics Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.20.5 Envisagenics Recent Development
7.21 Euretos
7.21.1 Euretos Company Details
7.21.2 Euretos Business Overview
7.21.3 Euretos Artificial Intelligence in Drug Discovery Introduction
7.21.4 Euretos Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.21.5 Euretos Recent Development
7.22 BioAge Labs
7.22.1 BioAge Labs Company Details
7.22.2 BioAge Labs Business Overview
7.22.3 BioAge Labs Artificial Intelligence in Drug Discovery Introduction
7.22.4 BioAge Labs Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.22.5 BioAge Labs Recent Development
7.23 Iktos
7.23.1 Iktos Company Details
7.23.2 Iktos Business Overview
7.23.3 Iktos Artificial Intelligence in Drug Discovery Introduction
7.23.4 Iktos Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.23.5 Iktos Recent Development
7.24 BioSymetrics
7.24.1 BioSymetrics Company Details
7.24.2 BioSymetrics Business Overview
7.24.3 BioSymetrics Artificial Intelligence in Drug Discovery Introduction
7.24.4 BioSymetrics Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.24.5 BioSymetrics Recent Development
7.25 Evaxion Biotech
7.25.1 Evaxion Biotech Company Details
7.25.2 Evaxion Biotech Business Overview
7.25.3 Evaxion Biotech Artificial Intelligence in Drug Discovery Introduction
7.25.4 Evaxion Biotech Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.25.5 Evaxion Biotech Recent Development
7.26 Aria Pharmaceuticals, Inc
7.26.1 Aria Pharmaceuticals, Inc Company Details
7.26.2 Aria Pharmaceuticals, Inc Business Overview
7.26.3 Aria Pharmaceuticals, Inc Artificial Intelligence in Drug Discovery Introduction
7.26.4 Aria Pharmaceuticals, Inc Revenue in Artificial Intelligence in Drug Discovery Business (2020-2025)
7.26.5 Aria Pharmaceuticals, Inc Recent Development
8 Artificial Intelligence in Drug Discovery Market Dynamics
8.1 Artificial Intelligence in Drug Discovery Industry Trends
8.2 Artificial Intelligence in Drug Discovery Market Drivers
8.3 Artificial Intelligence in Drug Discovery Market Challenges
8.4 Artificial Intelligence in Drug Discovery Market Restraints
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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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