Towards Healthcare
AI in Drug Discovery Market Size and Trends Report

AI in Drug Discovery Market Size to Reach USD 14,518.68 Mn by 2032

The report covers AI in Drug Discovery Market Companies and Segments into several key areas including types, applications, technologies and end-users. Major corporations such as IBM, Microsoft, Atomwise Inc., Cloud Pharmaceuticals, Benevolent AI, and BIO AGE dominate this global industry, driving advancements that accelerate the drug discovery process. The report offers the value (in USD Million) for the above segments.

Executive Summary

  • Market Overview
  • Key Market Trends
  • Market Opportunities
  • Competitive Landscape

Introduction

  • Market Definition and Scope
  • Research Methodology
  • Assumptions and Limitations

Market Dynamics

  • Market Drivers
  • Market Restraints
  • Market Opportunities
  • Market Challenges
  • Value Chain Analysis
  • Porter’s Five Forces Analysis

Market Segmentations

AI in Drug Discovery Market Analysis, by Type

  • Market Introduction
  • Market Size and Forecast
    • Preclinical and Clinical Testing
    • Molecule Screening
    • Target Identification
    • De Novo Drug Design and Drug Optimization
  • Market Share Analysis

AI in Drug Discovery Market Analysis, by Application

  • Market Introduction
  • Market Size and Forecast
    • Neurology
    • Infectious Disease
    • Oncology
    • Others
  • Market Share Analysis

AI in Drug Discovery Market Analysis, by Technology

  • Market Introduction
  • Market Size and Forecast
    • Machine Learning
    • Other Technologies
  • Market Share Analysis

AI in Drug Discovery Market Analysis, by End-User

  • Market Introduction
  • Market Size and Forecast
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Market Share Analysis

AI in Drug Discovery Market Analysis, by Region

  • Market Introduction
  • Market Size and Forecast
    • North America
      • U.S.
      • Canada
      • Mexico
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • Rest of Asia Pacific
    • Europe
      • U.K.
      • Germany
      • France
      • Italy
      • Spain
      • Rest of Europe
    • Latin America
      • Brazil
      • Argentina
      • Rest of Latin America
    • Middle East and Africa
      • GCC Countries
      • South Africa
      • Rest of Middle East and Africa
  • Market Share Analysis

Cross-Sectional Segmentations for AI in Drug Discovery Market

By Type and Application

  • Preclinical and Clinical Testing
    • Neurology
    • Infectious Disease
    • Oncology
    • Others
  • Molecule Screening
    • Neurology
    • Infectious Disease
    • Oncology
    • Others
  • Target Identification
    • Neurology
    • Infectious Disease
    • Oncology
    • Others
  • De Novo Drug Design and Drug Optimization
    • Neurology
    • Infectious Disease
    • Oncology
    • Others

By Type and Technology

  • Preclinical and Clinical Testing
    • Machine Learning
    • Other Technologies
  • Molecule Screening
    • Machine Learning
    • Other Technologies
  • Target Identification
    • Machine Learning
    • Other Technologies
  • De Novo Drug Design and Drug Optimization
    • Machine Learning
    • Other Technologies

By Type and End-User

  • Preclinical and Clinical Testing
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Molecule Screening
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Target Identification
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • De Novo Drug Design and Drug Optimization
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research

By Type and Region

  • Preclinical and Clinical Testing
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Molecule Screening
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Target Identification
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • De Novo Drug Design and Drug Optimization
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa

By Application and Technology

  • Neurology
    • Machine Learning
    • Other Technologies
  • Infectious Disease
    • Machine Learning
    • Other Technologies
  • Oncology
    • Machine Learning
    • Other Technologies
  • Others
    • Machine Learning
    • Other Technologies

By Application and End-User

  • Neurology
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Infectious Disease
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Oncology
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Others
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research

By Application and Region

  • Neurology
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Infectious Disease
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Oncology
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Others
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa

By Technology and End-User

  • Machine Learning
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research
  • Other Technologies
    • Pharmaceutical and Biotechnology Companies
    • Contract Research Organizations
    • Academics and Research

By Technology and Region

  • Machine Learning
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Other Technologies
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa

By End-User and Region

  • Pharmaceutical and Biotechnology Companies
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Contract Research Organizations
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa
  • Academics and Research
    • North America
    • Asia Pacific
    • Europe
    • Latin America
    • Middle East and Africa

Integration of AI Market Report

  • Executive Summary
    • Overview of AI Integration in Drug Discovery
    • Key Benefits of AI in Drug Discovery
    • AI-driven Innovations and Trends
    • AI Market Dynamics
  • Introduction
    • Definition of AI in Drug Discovery
    • Scope of AI Integration
    • Research Methodology
    • Assumptions and Limitations
  • Market Dynamics
    • Drivers of AI Adoption in Drug Discovery
    • Challenges in AI Implementation
    • Opportunities for AI in Drug Development
    • AI's Impact on Traditional Drug Discovery Processes
  • Case Studies and Success Stories
    • Successful AI-driven Drug Discovery Projects
    • AI in Drug Repurposing
    • AI in Personalized Medicine
  • Future Outlook of AI in Drug Discovery
    • Emerging AI Technologies in Drug Development
    • Predictive Analysis and AI in Drug Discovery
    • Future Market Trends and Opportunities

Production and Consumption Data

  • Executive Summary
    • Overview of Production and Consumption Trends
    • Key Insights and Highlights
  • Introduction
    • Definition and Scope of Production and Consumption Data
    • Research Methodology
    • Assumptions and Limitations
  • Market Dynamics
    • Impact of AI on Drug Production Processes
    • Influence of AI on Drug Consumption Patterns
  • Comparative Analysis of Production and Consumption
    • Global Production vs. Consumption Trends
    • Regional Discrepancies in Production and Consumption
  • Factors Influencing Production and Consumption
    • Technological Advancements
    • Regulatory Environment
    • Market Demand and Supply Dynamics

Go-to-Market Strategies (Europe/Asia Pacific/North America/Latin America/Middle East)

  • Executive Summary
    • Overview of Go-to-Market Strategies
    • Key Insights and Highlights
  • Introduction
    • Definition and Scope of Go-to-Market Strategies
    • Research Methodology
    • Assumptions and Limitations
  • Market Dynamics
    • Market Drivers and Restraints Influencing Go-to-Market Strategies
    • Opportunities and Challenges in the Market
  • Go-to-Market Strategy Framework
    • Market Segmentation and Targeting
    • Positioning and Differentiation
    • Value Proposition Development
  • Pricing Strategy
    • Pricing Models for AI in Drug Discovery
    • Competitive Pricing Analysis
    • Value-based Pricing Approaches
  • Sales and Distribution Strategy
    • Direct Sales vs. Indirect Sales Channels
    • Partnering with Key Stakeholders
    • Building a Strong Sales Network
  • Marketing and Promotion Strategy
    • Digital Marketing and AI-Driven Campaigns
    • Content Marketing and Thought Leadership
    • Branding and Public Relations
  • Customer Acquisition and Retention
    • Identifying and Targeting Key Customer Segments
    • Customer Relationship Management (CRM) Systems
    • Strategies for Customer Retention and Loyalty
  • Regulatory and Compliance Strategy
    • Navigating Regulatory Requirements
    • Compliance with Industry Standards
    • Managing Risk and Ensuring Data Security
  • Partnerships and Collaborations
    • Strategic Alliances and Joint Ventures
    • Collaborations with Research Institutions
    • Leveraging Ecosystem Partnerships
  • Technology and Infrastructure Strategy
    • Investing in AI Infrastructure and Tools
    • Leveraging Cloud and Data Analytics
    • Continuous Improvement and Scalability
  • Talent and Workforce Strategy
    • Recruiting and Training AI Specialists
    • Building a Multidisciplinary Team
    • Fostering a Culture of Innovation
  • Monitoring and Evaluation
    • Key Performance Indicators (KPIs) for Go-to-Market Success
    • Feedback Loops and Continuous Improvement
    • Adapting Strategies Based on Market Feedback

Opportunity Assessment and Strategic Planning

  • Introduction
    • Definition and Scope of Key Strategic Areas
    • Research Methodology
    • Assumptions and Limitations
  • Opportunity Assessment
    • Market Analysis and Trends
    • Identification of Growth Opportunities
    • SWOT Analysis (Strengths, Weaknesses, Opportunities, Threats)
    • Competitive Landscape and Market Positioning
    • Risk Assessment and Mitigation Strategies
  • New Product Development
    • Innovation and Ideation Process
    • Product Development Lifecycle
    • AI Integration in Product Design
    • Prototyping and Testing
    • Market Fit and Validation
    • Launch Strategy and Go-to-Market Plan
  • Plan Finances/ROI Analysis
    • Financial Planning and Budgeting
    • Cost Analysis and Control
    • ROI Calculation and Performance Metrics
    • Funding and Investment Strategies
    • Financial Forecasting and Projections
    • Risk Management and Financial Contingencies
  • Supply Chain Intelligence/Streamline Operations
    • Supply Chain Optimization Techniques
    • Inventory Management and Demand Forecasting
    • Supplier and Vendor Management
    • Logistics and Distribution Efficiency
    • Technology Integration for Supply Chain Intelligence
    • Process Improvement and Cost Reduction Strategies
  • Cross Border Intelligence
    • Global Market Entry Strategies
    • Regulatory and Compliance Considerations
    • Cultural and Economic Factors
    • Strategic Partnerships and Alliances
    • Risk Management in International Operations
    • Market Penetration and Expansion Tactics
  • Business Model Innovation
    • Overview of Business Model Innovation
    • Developing and Testing New Business Models
    • Value Proposition and Revenue Streams
    • Customer Segmentation and Targeting
    • Technology and Digital Transformation
    • Scaling and Sustainability
  • Blue Ocean vs. Red Ocean Strategies
    • Definition and Comparison of Blue Ocean and Red Ocean Strategies
    • Identifying Blue Ocean Opportunities
    • Competitive Strategies for Red Oceans
    • Strategic Planning for Differentiation
    • Case Studies and Best Practices
    • Strategic Decision-Making Framework
  • Implementation and Execution
    • Action Plans and Timelines
    • Resource Allocation and Management
    • Monitoring and Evaluation
    • Key Performance Indicators (KPIs)
    • Feedback Mechanisms and Continuous Improvement

Competitive Landscape

  • Market Share Analysis of Key Players
  • Key Developments and Strategies
  • Company Profiles
    • IBM
      • Overview
      • Financials
      • Product Portfolio
      • Recent Developments
      • SWOT Analysis
    • Microsoft
    • Atomwise Inc.
    • Cloud Pharmaceuticals
    • Benevolent AI
    • BIO AGE

Future Market Outlook

  • Market Forecast by Type
  • Market Forecast by Application
  • Market Forecast by Technology
  • Market Forecast by End-User
  • Market Forecast by Region

Appendix

  • List of Tables and Figures
  • Glossary of Terms
  • Research Methodology
  • Primary and Secondary Sources
  • Contact Information
  • Insight Code: 5010
  • No. of Pages: 150
  • Format: PDF/PPT/Excel
  • Published: May 2024
  • Report Covered: [Revenue + Volume]
  • Historical Year: 2021-2022
  • Base Year: 2023
  • Estimated Years: 2024-2033

About The Author

Deepa has certified the degree of Master’s in Pharmacy in the Pharmaceutical Quality Assurance department from Dr D.Y. Patil College of Pharmacy. Her research is focused on the healthcare industry. She is the author or co-author of four Review Articles, which include Solid dispersion a strategic method for poorly soluble drugs and solubility improvement techniques for poorly soluble drugs, Herbal Drugs Used In Treatment Of Cataracts, Nano sponges And Their Application in Cancer Prevention and Ayurvedic Remedies of Peptic ulcer. She has also published a Research Article on the Formulation and Evaluation of Mucoadhesive Tablets of Miconazole cocrystal which was published in GIS Science Journal Volume 9 Issue 8. Her passion for secondary research and desire to take on the challenge of solving unresolved issues is making her flourish is the in the research sector.

FAQ's

The use of ai in drug discovery has numerous benefits, but there are also some significant challenges to overcome. These challenges include the need for high-quality data, the need for expertise in AI and drug discovery, the lack of regulatory guidelines, and the ethical considerations surrounding the use of AI in drug development.

AI is important in drug discovery because it enables scientists to process vast amounts of data, identify patterns, and make predictions that can help accelerate the drug discovery process. With AI, researchers can design molecules with specific properties, predict the behavior of drugs in the human body, and even identify potential side effects before clinical trials.

The ai in drug discovery industry size is projected to reach around USD 11,914 million by 2030 up from USD 1153.6 million in 2021, registering a CAGR of 29.62% from 2022 to 2030.

North America is expected to account for the largest share of the global ai in the drug discovery market.

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