Top Key Companies for Artificial Intelligence in Drug Discovery Market: 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.
Global Artificial Intelligence in Drug Discovery Market Size was estimated at USD 1855.6 million in 2022 and is projected to reach USD 2458.4 million by 2028, exhibiting a CAGR of 4.8% during the forecast period.
Global Artificial Intelligence in Drug Discovery Market Overview And Scope:
The Global Artificial Intelligence in Drug Discovery Market Report 2025 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Artificial Intelligence in Drug Discovery utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2025 and 2032. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
This Market Research Report provides a comprehensive analysis of the global Artificial Intelligence in Drug Discovery Market and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Artificial Intelligence in Drug Discovery portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms' unique position in an accelerating global Artificial Intelligence in Drug Discovery market.
Global Artificial Intelligence in Drug Discovery Market Segmentation
By Type, Artificial Intelligence in Drug Discovery market has been segmented into:
Hardware
Software
Service
By Application, Artificial Intelligence in Drug Discovery market has been segmented into:
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval
Regional Analysis of Artificial Intelligence in Drug Discovery Market:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape of Artificial Intelligence in Drug Discovery Market:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence in Drug Discovery market study focused on including all the primary level, secondary level and tertiary level competitors in the report.The data generated by conducting the primary and secondary research. The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence in Drug Discovery market.
Top Key Companies Covered in Artificial Intelligence in Drug Discovery market are:
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
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Artificial Intelligence in Drug Discovery Market by Type
5.1 Artificial Intelligence in Drug Discovery Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence in Drug Discovery Market Overview
5.3 Hardware
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Hardware: Geographic Segmentation
5.4 Software
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Software: Geographic Segmentation
5.5 Service
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2017-2032F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Service: Geographic Segmentation
Chapter 6: Artificial Intelligence in Drug Discovery Market by Application
6.1 Artificial Intelligence in Drug Discovery Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence in Drug Discovery Market Overview
6.3 Early Drug Discovery
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Early Drug Discovery: Geographic Segmentation
6.4 Preclinical Phase
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Preclinical Phase: Geographic Segmentation
6.5 Clinical Phase
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Clinical Phase: Geographic Segmentation
6.6 Regulatory Approval
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2017-2032F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Regulatory Approval: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Artificial Intelligence in Drug Discovery Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Artificial Intelligence in Drug Discovery Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Artificial Intelligence in Drug Discovery Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 IBM
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 EXSCIENTIA
7.4 GOOGLE(ALPHABET)
7.5 MICROSOFT
7.6 ATOMWISE
7.7 SCHRODINGER
7.8 AITIA
7.9 INSILICO MEDICINE
7.10 NVIDIA
7.11 XTALPI
7.12 BPGBIO
7.13 OWKIN
7.14 CYTOREASON
7.15 DEEP GENOMICS
7.16 CLOUD PHARMACEUTICALS
7.17 BENEVOLENTAI
7.18 CYCLICA
7.19 VERGE GENOMICS
7.20 VALO HEALTH
7.21 ENVISAGENICS
7.22 EURETOS
7.23 BIOAGE LABS
7.24 IKTOS
7.25 BIOSYMETRICS
7.26 EVAXION BIOTECH
7.27 ARIA PHARMACEUTICALS
7.28 INC
Chapter 8: Global Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 Hardware
8.2.2 Software
8.2.3 Service
8.3 Historic and Forecasted Market Size By Application
8.3.1 Early Drug Discovery
8.3.2 Preclinical Phase
8.3.3 Clinical Phase
8.3.4 Regulatory Approval
Chapter 9: North America Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 Hardware
9.4.2 Software
9.4.3 Service
9.5 Historic and Forecasted Market Size By Application
9.5.1 Early Drug Discovery
9.5.2 Preclinical Phase
9.5.3 Clinical Phase
9.5.4 Regulatory Approval
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 Hardware
10.4.2 Software
10.4.3 Service
10.5 Historic and Forecasted Market Size By Application
10.5.1 Early Drug Discovery
10.5.2 Preclinical Phase
10.5.3 Clinical Phase
10.5.4 Regulatory Approval
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 Hardware
11.4.2 Software
11.4.3 Service
11.5 Historic and Forecasted Market Size By Application
11.5.1 Early Drug Discovery
11.5.2 Preclinical Phase
11.5.3 Clinical Phase
11.5.4 Regulatory Approval
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 Hardware
12.4.2 Software
12.4.3 Service
12.5 Historic and Forecasted Market Size By Application
12.5.1 Early Drug Discovery
12.5.2 Preclinical Phase
12.5.3 Clinical Phase
12.5.4 Regulatory Approval
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 Hardware
13.4.2 Software
13.4.3 Service
13.5 Historic and Forecasted Market Size By Application
13.5.1 Early Drug Discovery
13.5.2 Preclinical Phase
13.5.3 Clinical Phase
13.5.4 Regulatory Approval
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2017-2032
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 Hardware
14.4.2 Software
14.4.3 Service
14.5 Historic and Forecasted Market Size By Application
14.5.1 Early Drug Discovery
14.5.2 Preclinical Phase
14.5.3 Clinical Phase
14.5.4 Regulatory Approval
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Artificial Intelligence in Drug Discovery Scope:
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Report Data
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Artificial Intelligence in Drug Discovery Market
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Artificial Intelligence in Drug Discovery Market Size in 2025
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USD XX million
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Artificial Intelligence in Drug Discovery CAGR 2025 - 2032
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XX%
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Artificial Intelligence in Drug Discovery Base Year
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2024
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Artificial Intelligence in Drug Discovery Forecast Data
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2025 - 2032
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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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.
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Key Segments
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By Type
Hardware
Software
Service
By Applications
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval
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