Global Artificial Intelligence in Drug Discovery Market Overview:
Global Artificial Intelligence in Drug Discovery Market Is Expected to Grow at A Significant Growth Rate, And the Forecast Period Is 2025-2032, Considering the Base Year As 2024.
Global Artificial Intelligence in Drug Discovery Market Report 2025 comes with the extensive industry analysis by Introspective Market Research with development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2025-2032.This research study of Artificial Intelligence in Drug Discovery involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Artificial Intelligence in Drug Discovery Market:
The Artificial Intelligence in Drug Discovery Market Research report incorporates value chain analysis for each of the product type. Value chain analysis offers in-depth information about value addition at each stage.The study includes drivers and restraints for Artificial Intelligence in Drug Discovery Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Artificial Intelligence in Drug Discovery Market helps user to make precise decision in order to expand their market presence and increase market share.
By Type, Artificial Intelligence in Drug Discovery market has been segmented into:
Machine Learning
Natural Language Processing
Expert Systems
Deep Learning
By Application, Artificial Intelligence in Drug Discovery market has been segmented into:
Drug Repurposing
Clinical Trial Patient Recruitment
Drug Discovery
Preclinical Research
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
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 Players Covered in Artificial Intelligence in Drug Discovery market are:
Bristol-Myers Squibb
Siemens
Insilico Medicine
Schrodinger
Atomwise
BenevolentAI
GlaxoSmithKline
Oracle
Exscientia
Recursion Pharmaceuticals
Microsoft
IBM
Pfizer
Biogen
Nvidia
Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Industry Dynamics and Opportunity Analysis
3.1.1 Growth Drivers
3.1.2 Limiting Factors
3.1.3 Growth Opportunities
3.1.4 Challenges and Risks
3.2 Market Trend Analysis
3.3 Strategic Pestle Overview
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Mapping
3.6 Regulatory Framework
3.7 Princing Trend Analysis
3.8 Patent Analysis
3.9 Technology Evolution
3.10 Investment Pockets
3.11 Import-Export Analysis
Chapter 4: Artificial Intelligence in Drug Discovery Market Type
4.1 Artificial Intelligence in Drug Discovery Market Snapshot and Growth Engine
4.2 Artificial Intelligence in Drug Discovery Market Overview
4.3 Machine Learning
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.3.3 Machine Learning: Geographic Segmentation Analysis
4.4 Natural Language Processing
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.4.3 Natural Language Processing: Geographic Segmentation Analysis
4.5 Expert Systems
4.5.1 Introduction and Market Overview
4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.5.3 Expert Systems: Geographic Segmentation Analysis
4.6 Deep Learning
4.6.1 Introduction and Market Overview
4.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.6.3 Deep Learning: Geographic Segmentation Analysis
Chapter 5: Artificial Intelligence in Drug Discovery Market Application
5.1 Artificial Intelligence in Drug Discovery Market Snapshot and Growth Engine
5.2 Artificial Intelligence in Drug Discovery Market Overview
5.3 Drug Repurposing
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.3.3 Drug Repurposing: Geographic Segmentation Analysis
5.4 Clinical Trial Patient Recruitment
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.4.3 Clinical Trial Patient Recruitment: Geographic Segmentation Analysis
5.5 Drug Discovery
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.5.3 Drug Discovery: Geographic Segmentation Analysis
5.6 Preclinical Research
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.6.3 Preclinical Research: Geographic Segmentation Analysis
Chapter 6: Company Profiles and Competitive Analysis
6.1 Competitive Landscape
6.1.1 Competitive Benchmarking
6.1.2 Artificial Intelligence in Drug Discovery Market Share by Manufacturer (2023)
6.1.3 Concentration Ratio(CR5)
6.1.4 Heat Map Analysis
6.1.5 Mergers and Acquisitions
6.2 BRISTOL-MYERS SQUIBB
6.2.1 Company Overview
6.2.2 Key Executives
6.2.3 Company Snapshot
6.2.4 Operating Business Segments
6.2.5 Product Portfolio
6.2.6 Business Performance
6.2.7 Key Strategic Moves and Recent Developments
6.3 SIEMENS
6.4 INSILICO MEDICINE
6.5 SCHRODINGER
6.6 ATOMWISE
6.7 BENEVOLENTAI
6.8 GLAXOSMITHKLINE
6.9 ORACLE
6.10 EXSCIENTIA
6.11 RECURSION PHARMACEUTICALS
6.12 MICROSOFT
6.13 IBM
6.14 PFIZER
6.15 BIOGEN
6.16 NVIDIA
Chapter 7: Global Artificial Intelligence in Drug Discovery Market By Region
7.1 Overview
7.2. North America Artificial Intelligence in Drug Discovery Market
7.2.1 Historic and Forecasted Market Size by Segments
7.2.2 Historic and Forecasted Market Size By Type
7.2.2.1 Machine Learning
7.2.2.2 Natural Language Processing
7.2.2.3 Expert Systems
7.2.2.4 Deep Learning
7.2.3 Historic and Forecasted Market Size By Application
7.2.3.1 Drug Repurposing
7.2.3.2 Clinical Trial Patient Recruitment
7.2.3.3 Drug Discovery
7.2.3.4 Preclinical Research
7.2.4 Historic and Forecast Market Size by Country
7.2.4.1 US
7.2.4.2 Canada
7.2.4.3 Mexico
7.3. Eastern Europe Artificial Intelligence in Drug Discovery Market
7.3.1 Historic and Forecasted Market Size by Segments
7.3.2 Historic and Forecasted Market Size By Type
7.3.2.1 Machine Learning
7.3.2.2 Natural Language Processing
7.3.2.3 Expert Systems
7.3.2.4 Deep Learning
7.3.3 Historic and Forecasted Market Size By Application
7.3.3.1 Drug Repurposing
7.3.3.2 Clinical Trial Patient Recruitment
7.3.3.3 Drug Discovery
7.3.3.4 Preclinical Research
7.3.4 Historic and Forecast Market Size by Country
7.3.4.1 Russia
7.3.4.2 Bulgaria
7.3.4.3 The Czech Republic
7.3.4.4 Hungary
7.3.4.5 Poland
7.3.4.6 Romania
7.3.4.7 Rest of Eastern Europe
7.4. Western Europe Artificial Intelligence in Drug Discovery Market
7.4.1 Historic and Forecasted Market Size by Segments
7.4.2 Historic and Forecasted Market Size By Type
7.4.2.1 Machine Learning
7.4.2.2 Natural Language Processing
7.4.2.3 Expert Systems
7.4.2.4 Deep Learning
7.4.3 Historic and Forecasted Market Size By Application
7.4.3.1 Drug Repurposing
7.4.3.2 Clinical Trial Patient Recruitment
7.4.3.3 Drug Discovery
7.4.3.4 Preclinical Research
7.4.4 Historic and Forecast Market Size by Country
7.4.4.1 Germany
7.4.4.2 UK
7.4.4.3 France
7.4.4.4 The Netherlands
7.4.4.5 Italy
7.4.4.6 Spain
7.4.4.7 Rest of Western Europe
7.5. Asia Pacific Artificial Intelligence in Drug Discovery Market
7.5.1 Historic and Forecasted Market Size by Segments
7.5.2 Historic and Forecasted Market Size By Type
7.5.2.1 Machine Learning
7.5.2.2 Natural Language Processing
7.5.2.3 Expert Systems
7.5.2.4 Deep Learning
7.5.3 Historic and Forecasted Market Size By Application
7.5.3.1 Drug Repurposing
7.5.3.2 Clinical Trial Patient Recruitment
7.5.3.3 Drug Discovery
7.5.3.4 Preclinical Research
7.5.4 Historic and Forecast Market Size by Country
7.5.4.1 China
7.5.4.2 India
7.5.4.3 Japan
7.5.4.4 South Korea
7.5.4.5 Malaysia
7.5.4.6 Thailand
7.5.4.7 Vietnam
7.5.4.8 The Philippines
7.5.4.9 Australia
7.5.4.10 New Zealand
7.5.4.11 Rest of APAC
7.6. Middle East & Africa Artificial Intelligence in Drug Discovery Market
7.6.1 Historic and Forecasted Market Size by Segments
7.6.2 Historic and Forecasted Market Size By Type
7.6.2.1 Machine Learning
7.6.2.2 Natural Language Processing
7.6.2.3 Expert Systems
7.6.2.4 Deep Learning
7.6.3 Historic and Forecasted Market Size By Application
7.6.3.1 Drug Repurposing
7.6.3.2 Clinical Trial Patient Recruitment
7.6.3.3 Drug Discovery
7.6.3.4 Preclinical Research
7.6.4 Historic and Forecast Market Size by Country
7.6.4.1 Turkiye
7.6.4.2 Bahrain
7.6.4.3 Kuwait
7.6.4.4 Saudi Arabia
7.6.4.5 Qatar
7.6.4.6 UAE
7.6.4.7 Israel
7.6.4.8 South Africa
7.7. South America Artificial Intelligence in Drug Discovery Market
7.7.1 Historic and Forecasted Market Size by Segments
7.7.2 Historic and Forecasted Market Size By Type
7.7.2.1 Machine Learning
7.7.2.2 Natural Language Processing
7.7.2.3 Expert Systems
7.7.2.4 Deep Learning
7.7.3 Historic and Forecasted Market Size By Application
7.7.3.1 Drug Repurposing
7.7.3.2 Clinical Trial Patient Recruitment
7.7.3.3 Drug Discovery
7.7.3.4 Preclinical Research
7.7.4 Historic and Forecast Market Size by Country
7.7.4.1 Brazil
7.7.4.2 Argentina
7.7.4.3 Rest of SA
Chapter 8 Analyst Viewpoint and Conclusion
8.1 Recommendations and Concluding Analysis
8.2 Potential Market Strategies
Chapter 9 Research Methodology
9.1 Research Process
9.2 Primary Research
9.3 Secondary Research
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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Bristol-Myers Squibb, Siemens, Insilico Medicine, Schrodinger, Atomwise, BenevolentAI, GlaxoSmithKline, Oracle, Exscientia, Recursion Pharmaceuticals, Microsoft, IBM, Pfizer, Biogen, Nvidia.
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Key Segments
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By Type
Machine Learning
Natural Language Processing
Expert Systems
Deep Learning
By Applications
Drug Repurposing
Clinical Trial Patient Recruitment
Drug Discovery
Preclinical Research
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