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Artificial Intelligence in Drug Discovery Industry Research Report 2026
Market perspective
The global Artificial Intelligence in Drug Discovery market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Artificial Intelligence in Drug Discovery market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Artificial Intelligence in Drug Discovery market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Artificial Intelligence in Drug Discovery market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Artificial Intelligence in Drug Discovery include IBM, Exscientia, Google(Alphabet), Microsoft, Atomwise, Schrodinger, Aitia, Insilico Medicine and NVIDIA, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Artificial Intelligence in Drug Discovery market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Artificial Intelligence in Drug Discovery.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Artificial Intelligence in Drug Discovery Market 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
Artificial Intelligence in Drug Discovery Segment by Type
Hardware
Software
Service
Artificial Intelligence in Drug Discovery Segment by Application
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval
Artificial Intelligence in Drug Discovery Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Artificial Intelligence in Drug Discovery market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Artificial Intelligence in Drug Discovery and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Artificial Intelligence in Drug Discovery.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, 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 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Artificial Intelligence in Drug Discovery companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Hardware
- Software
- Service
Applications
- Early Drug Discovery
- Preclinical Phase
- Clinical Phase
- Regulatory Approval
Companies covered
- 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
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Artificial Intelligence in Drug Discovery by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Hardware
- 2.2.3 Software
- 2.2.4 Service
- 2.3 Artificial Intelligence in Drug Discovery by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Early Drug Discovery
- 2.3.3 Preclinical Phase
- 2.3.4 Clinical Phase
- 2.3.5 Regulatory Approval
- 2.4 Assumptions and Limitations
3 Artificial Intelligence in Drug Discovery Breakdown Data by Type
- 3.1 Global Artificial Intelligence in Drug Discovery Historic Market Size by Type (2021-2026)
- 3.2 Global Artificial Intelligence in Drug Discovery Forecasted Market Size by Type (2027-2032)
4 Artificial Intelligence in Drug Discovery Breakdown Data by Application
- 4.1 Global Artificial Intelligence in Drug Discovery Historic Market Size by Application (2021-2026)
- 4.2 Global Artificial Intelligence in Drug Discovery Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Artificial Intelligence in Drug Discovery Market Perspective (2021-2032)
- 5.2 Global Artificial Intelligence in Drug Discovery Growth Trends by Region
- 5.2.1 Global Artificial Intelligence in Drug Discovery Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Artificial Intelligence in Drug Discovery Historic Market Size by Region (2021-2026)
- 5.2.3 Artificial Intelligence in Drug Discovery Forecasted Market Size by Region (2027-2032)
- 5.3 Artificial Intelligence in Drug Discovery Market Dynamics
- 5.3.1 Artificial Intelligence in Drug Discovery Industry Trends
- 5.3.2 Artificial Intelligence in Drug Discovery Market Drivers
- 5.3.3 Artificial Intelligence in Drug Discovery Market Challenges
- 5.3.4 Artificial Intelligence in Drug Discovery Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Artificial Intelligence in Drug Discovery Players by Revenue
- 6.1.1 Global Top Artificial Intelligence in Drug Discovery Players by Revenue (2021-2026)
- 6.1.2 Global Artificial Intelligence in Drug Discovery Revenue Market Share by Players (2021-2026)
- 6.2 Global Artificial Intelligence in Drug Discovery Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Artificial Intelligence in Drug Discovery Head Office and Area Served
- 6.4 Global Artificial Intelligence in Drug Discovery Players, Product Type & Application
- 6.5 Global Artificial Intelligence in Drug Discovery Manufacturers Established Date
- 6.6 Global Artificial Intelligence in Drug Discovery Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Artificial Intelligence in Drug Discovery Market Size (2021-2032)
- 7.2 North America Artificial Intelligence in Drug Discovery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Artificial Intelligence in Drug Discovery Market Size by Country (2021-2026)
- 7.4 North America Artificial Intelligence in Drug Discovery Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Artificial Intelligence in Drug Discovery Market Size (2021-2032)
- 8.2 Europe Artificial Intelligence in Drug Discovery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Artificial Intelligence in Drug Discovery Market Size by Country (2021-2026)
- 8.4 Europe Artificial Intelligence in Drug Discovery Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Artificial Intelligence in Drug Discovery Market Size (2021-2032)
- 9.2 Asia-Pacific Artificial Intelligence in Drug Discovery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Artificial Intelligence in Drug Discovery Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Artificial Intelligence in Drug Discovery Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Artificial Intelligence in Drug Discovery Market Size (2021-2032)
- 10.2 South America Artificial Intelligence in Drug Discovery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Artificial Intelligence in Drug Discovery Market Size by Country (2021-2026)
- 10.4 South America Artificial Intelligence in Drug Discovery Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Artificial Intelligence in Drug Discovery Market Size (2021-2032)
- 11.2 Middle East & Africa Artificial Intelligence in Drug Discovery Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Artificial Intelligence in Drug Discovery Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Artificial Intelligence in Drug Discovery Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 IBM
- 12.1.1 IBM Company Information
- 12.1.2 IBM Business Overview
- 12.1.3 IBM Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.1.4 IBM Artificial Intelligence in Drug Discovery Product Portfolio
- 12.1.5 IBM Recent Developments
- 12.2 Exscientia
- 12.2.1 Exscientia Company Information
- 12.2.2 Exscientia Business Overview
- 12.2.3 Exscientia Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.2.4 Exscientia Artificial Intelligence in Drug Discovery Product Portfolio
- 12.2.5 Exscientia Recent Developments
- 12.3 Google(Alphabet)
- 12.3.1 Google(Alphabet) Company Information
- 12.3.2 Google(Alphabet) Business Overview
- 12.3.3 Google(Alphabet) Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.3.4 Google(Alphabet) Artificial Intelligence in Drug Discovery Product Portfolio
- 12.3.5 Google(Alphabet) Recent Developments
- 12.4 Microsoft
- 12.4.1 Microsoft Company Information
- 12.4.2 Microsoft Business Overview
- 12.4.3 Microsoft Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.4.4 Microsoft Artificial Intelligence in Drug Discovery Product Portfolio
- 12.4.5 Microsoft Recent Developments
- 12.5 Atomwise
- 12.5.1 Atomwise Company Information
- 12.5.2 Atomwise Business Overview
- 12.5.3 Atomwise Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.5.4 Atomwise Artificial Intelligence in Drug Discovery Product Portfolio
- 12.5.5 Atomwise Recent Developments
- 12.6 Schrodinger
- 12.6.1 Schrodinger Company Information
- 12.6.2 Schrodinger Business Overview
- 12.6.3 Schrodinger Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.6.4 Schrodinger Artificial Intelligence in Drug Discovery Product Portfolio
- 12.6.5 Schrodinger Recent Developments
- 12.7 Aitia
- 12.7.1 Aitia Company Information
- 12.7.2 Aitia Business Overview
- 12.7.3 Aitia Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.7.4 Aitia Artificial Intelligence in Drug Discovery Product Portfolio
- 12.7.5 Aitia Recent Developments
- 12.8 Insilico Medicine
- 12.8.1 Insilico Medicine Company Information
- 12.8.2 Insilico Medicine Business Overview
- 12.8.3 Insilico Medicine Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.8.4 Insilico Medicine Artificial Intelligence in Drug Discovery Product Portfolio
- 12.8.5 Insilico Medicine Recent Developments
- 12.9 NVIDIA
- 12.9.1 NVIDIA Company Information
- 12.9.2 NVIDIA Business Overview
- 12.9.3 NVIDIA Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.9.4 NVIDIA Artificial Intelligence in Drug Discovery Product Portfolio
- 12.9.5 NVIDIA Recent Developments
- 12.10 XtalPi
- 12.10.1 XtalPi Company Information
- 12.10.2 XtalPi Business Overview
- 12.10.3 XtalPi Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.10.4 XtalPi Artificial Intelligence in Drug Discovery Product Portfolio
- 12.10.5 XtalPi Recent Developments
- 12.11 BPGbio
- 12.11.1 BPGbio Company Information
- 12.11.2 BPGbio Business Overview
- 12.11.3 BPGbio Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.11.4 BPGbio Artificial Intelligence in Drug Discovery Product Portfolio
- 12.11.5 BPGbio Recent Developments
- 12.12 Owkin
- 12.12.1 Owkin Company Information
- 12.12.2 Owkin Business Overview
- 12.12.3 Owkin Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.12.4 Owkin Artificial Intelligence in Drug Discovery Product Portfolio
- 12.12.5 Owkin Recent Developments
- 12.13 CytoReason
- 12.13.1 CytoReason Company Information
- 12.13.2 CytoReason Business Overview
- 12.13.3 CytoReason Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.13.4 CytoReason Artificial Intelligence in Drug Discovery Product Portfolio
- 12.13.5 CytoReason Recent Developments
- 12.14 Deep Genomics
- 12.14.1 Deep Genomics Company Information
- 12.14.2 Deep Genomics Business Overview
- 12.14.3 Deep Genomics Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.14.4 Deep Genomics Artificial Intelligence in Drug Discovery Product Portfolio
- 12.14.5 Deep Genomics Recent Developments
- 12.15 Cloud Pharmaceuticals
- 12.15.1 Cloud Pharmaceuticals Company Information
- 12.15.2 Cloud Pharmaceuticals Business Overview
- 12.15.3 Cloud Pharmaceuticals Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.15.4 Cloud Pharmaceuticals Artificial Intelligence in Drug Discovery Product Portfolio
- 12.15.5 Cloud Pharmaceuticals Recent Developments
- 12.16 BenevolentAI
- 12.16.1 BenevolentAI Company Information
- 12.16.2 BenevolentAI Business Overview
- 12.16.3 BenevolentAI Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.16.4 BenevolentAI Artificial Intelligence in Drug Discovery Product Portfolio
- 12.16.5 BenevolentAI Recent Developments
- 12.17 Cyclica
- 12.17.1 Cyclica Company Information
- 12.17.2 Cyclica Business Overview
- 12.17.3 Cyclica Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.17.4 Cyclica Artificial Intelligence in Drug Discovery Product Portfolio
- 12.17.5 Cyclica Recent Developments
- 12.18 Verge Genomics
- 12.18.1 Verge Genomics Company Information
- 12.18.2 Verge Genomics Business Overview
- 12.18.3 Verge Genomics Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.18.4 Verge Genomics Artificial Intelligence in Drug Discovery Product Portfolio
- 12.18.5 Verge Genomics Recent Developments
- 12.19 Valo Health
- 12.19.1 Valo Health Company Information
- 12.19.2 Valo Health Business Overview
- 12.19.3 Valo Health Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.19.4 Valo Health Artificial Intelligence in Drug Discovery Product Portfolio
- 12.19.5 Valo Health Recent Developments
- 12.20 Envisagenics
- 12.20.1 Envisagenics Company Information
- 12.20.2 Envisagenics Business Overview
- 12.20.3 Envisagenics Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.20.4 Envisagenics Artificial Intelligence in Drug Discovery Product Portfolio
- 12.20.5 Envisagenics Recent Developments
- 12.21 Euretos
- 12.21.1 Euretos Company Information
- 12.21.2 Euretos Business Overview
- 12.21.3 Euretos Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.21.4 Euretos Artificial Intelligence in Drug Discovery Product Portfolio
- 12.21.5 Euretos Recent Developments
- 12.22 BioAge Labs
- 12.22.1 BioAge Labs Company Information
- 12.22.2 BioAge Labs Business Overview
- 12.22.3 BioAge Labs Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.22.4 BioAge Labs Artificial Intelligence in Drug Discovery Product Portfolio
- 12.22.5 BioAge Labs Recent Developments
- 12.23 Iktos
- 12.23.1 Iktos Company Information
- 12.23.2 Iktos Business Overview
- 12.23.3 Iktos Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.23.4 Iktos Artificial Intelligence in Drug Discovery Product Portfolio
- 12.23.5 Iktos Recent Developments
- 12.24 BioSymetrics
- 12.24.1 BioSymetrics Company Information
- 12.24.2 BioSymetrics Business Overview
- 12.24.3 BioSymetrics Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.24.4 BioSymetrics Artificial Intelligence in Drug Discovery Product Portfolio
- 12.24.5 BioSymetrics Recent Developments
- 12.25 Evaxion Biotech
- 12.25.1 Evaxion Biotech Company Information
- 12.25.2 Evaxion Biotech Business Overview
- 12.25.3 Evaxion Biotech Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.25.4 Evaxion Biotech Artificial Intelligence in Drug Discovery Product Portfolio
- 12.25.5 Evaxion Biotech Recent Developments
- 12.26 Aria Pharmaceuticals, Inc
- 12.26.1 Aria Pharmaceuticals, Inc Company Information
- 12.26.2 Aria Pharmaceuticals, Inc Business Overview
- 12.26.3 Aria Pharmaceuticals, Inc Revenue in Artificial Intelligence in Drug Discovery Business (2021-2026)
- 12.26.4 Aria Pharmaceuticals, Inc Artificial Intelligence in Drug Discovery Product Portfolio
- 12.26.5 Aria Pharmaceuticals, Inc Recent Developments
13 Report Conclusion
14 Disclaimer
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