신약 개발 분야 인공지능(AI) 시장 : 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global artificial intelligence (AI) in drug discovery market size is expected to reach USD 20.52 Billion in 2034 from USD 2.77 Billion in 2025, growing at a CAGR of 24.92 during 2026-2034.The AI in drug discovery market has witnessed significant growth as pharmaceutical companies seek to reduce R&D timelines and costs. AI technologies-such as machine learning, deep learning, and natural language processing-are used to identify drug targets, predict molecular behavior, and optimize clinical candidate selection. Growing collaboration between biotech startups and large pharmaceutical firms has accelerated AI adoption in early-stage research.

Primary drivers include rising drug development costs, the need for higher success rates, and access to vast biomedical datasets. AI platforms enhance target validation, compound screening, and toxicity prediction, shortening discovery cycles. Advances in computational power and cloud-based analytics further support scalability. Venture capital investment in AI-driven biotech firms has fueled innovation and expanded the competitive landscape.

Looking ahead, AI is expected to become integral across the drug development continuum, including clinical trial design and real-world evidence analysis. Integration with genomics, proteomics, and patient data will enable more precise therapies. Regulatory acceptance of AI-generated insights and data transparency will influence long-term growth. As algorithms mature and validation improves, AI-driven pipelines may significantly reshape pharmaceutical innovation.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Application

• Drug Optimization and Repurposing
• Preclinical Testing
• Others

By Therapeutic Area

• Oncology
• Neurodegenerative Diseases
• Cardiovascular Disease
• Metabolic Diseases
• Infectious Disease
• Others

COMPANIES PROFILED

• IBM Corporation, Exscientia plc, Insilico Medicine Inc., Aitia (formerly GNS Healthcare), Google DeepMind, BenevolentAI, BioSymetrics Inc., Berg Health (acquired by BPGbio), Atomwise Inc., insitro, Cyclica (now part of Recursion Pharmaceuticals)

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY APPLICATION 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Application
• 4.2. Drug Optimization and Repurposing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Preclinical Testing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY THERAPEUTIC AREA 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Therapeutic Area
• 5.2. Oncology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Neurodegenerative Diseases Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Cardiovascular Disease Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Metabolic Diseases Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Infectious Disease Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY MARKET: BY REGION 2022-2034 (USD MN)

• 6.1. Regional Outlook
• 6.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.2.1 By Application
  • 6.2.2 By Therapeutic Area
  • 6.2.3 United States
  • 6.2.4 Canada
  • 6.2.5 Mexico
• 6.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.3.1 By Application
  • 6.3.2 By Therapeutic Area
  • 6.3.3 United Kingdom
  • 6.3.4 France
  • 6.3.5 Germany
  • 6.3.6 Italy
  • 6.3.7 Russia
  • 6.3.8 Rest Of Europe
• 6.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.4.1 By Application
  • 6.4.2 By Therapeutic Area
  • 6.4.3 India
  • 6.4.4 Japan
  • 6.4.5 South Korea
  • 6.4.6 Australia
  • 6.4.7 South East Asia
  • 6.4.8 Rest Of Asia Pacific
• 6.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.5.1 By Application
  • 6.5.2 By Therapeutic Area
  • 6.5.3 Brazil
  • 6.5.4 Argentina
  • 6.5.5 Peru
  • 6.5.6 Chile
  • 6.5.7 Rest of Latin America
• 6.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.6.1 By Application
  • 6.6.2 By Therapeutic Area
  • 6.6.3 Saudi Arabia
  • 6.6.4 UAE
  • 6.6.5 Israel
  • 6.6.6 South Africa
  • 6.6.7 Rest of the Middle East And Africa

Chapter 7. COMPETITIVE LANDSCAPE

• 7.1. Recent Developments
• 7.2. Company Categorization
• 7.3. Supply Chain & Channel Partners (based on availability)
• 7.4. Market Share & Positioning Analysis (based on availability)
• 7.5. Vendor Landscape (based on availability)
• 7.6. Strategy Mapping

Chapter 8. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN DRUG DISCOVERY INDUSTRY

• 8.1. Top Companies Market Share Analysis
• 8.2. Company Profiles
  • 8.2.1 IBM Corporation
  • 8.2.2 Exscientia Plc
  • 8.2.3 Insilico Medicine Inc
  • 8.2.4 Aitia (formerly GNS Healthcare)
  • 8.2.5 Google DeepMind
  • 8.2.6 BenevolentAI
  • 8.2.7 BioSymetrics Inc
  • 8.2.8 Berg Health (acquired By BPGbio)
  • 8.2.9 Atomwise Inc
  • 8.2.10 Insitro
  • 8.2.11 Cyclica (now Part Of Recursion Pharmaceuticals)