세계의 바이오테크놀러지용 AI 시장

The global market for AI in biotechnology was valued at $3.8 billion in 2024. The market is estimated to grow from $4.6 billion in 2025 to $11.4 billion by 2030, at a compound annual growth rate (CAGR) of 20% from 2025 to 2030.

The North American market for AI in biotechnology is estimated to grow from $2.7 billion in 2025 to $7 billion by 2030, at a CAGR of 20.6% from 2025 to 2030.

The Asia-Pacific market for AI in biotechnology is estimated to grow from $587.9 million in 2025 to $1.7 billion by 2030, at a CAGR of 23.4% from 2025 to 2030.

Report Scope

The report analyzes the trends in the global market for AI in biotechnology. It includes global revenue ($ millions) for the base year of 2024 and estimated data for the forecast period 2025 through 2030. The market is segmented by product type (software and services), deployment (cloud-based and on-premises), application and end user. Applications consist of drug discovery, clinical trials, diagnostics and others. End users consist of pharmaceutical and biotech companies, academic research institutes, contract R&D organizations (CROs/CDMOs) and others. The regions covered in this study are North America, Europe, Asia-Pacific, the Middle East and Africa, and South America, with analysis of the markets in the U.S., Canada, Mexico, Germany, the U.K., Italy, France, Spain, the Rest of Europe, China, Japan, India, South Korea and the Rest of Asia-Pacific.

The report focuses on the trends and challenges that affect the market. It includes an analysis of the competitive landscape, with the ranking of leading companies and their market shares. It offers company profiles that covers such details as financials, product portfolio and recent developments. It analyzes companies' environmental, social and corporate governance (ESG) initiatives.

Report Includes

• 50 data tables and 57 additional tables
• An analysis of the current and future global markets for artificial intelligence (AI) in biotechnology
• Analyses of the global market trends, with historic revenue data (sales figures) from 2022 to 2024, estimates for 2025, and projected CAGRs through 2030
• Estimates of the size of the market and revenue prospects, along with a corresponding market share analysis based on product type, application, deployment type, end user, and region
• Facts and figures pertaining to market dynamics, technological advancements, regulations, prospects and the impact of macroeconomic variables
• Discussion of the underlying opportunities and potential, with the development of novel products, drug discovery, clinical trials and other related applications
• Insights derived from Porter's Five Forces model and global supply chain analyses
• Overview of sustainability trends and ESG developments, with emphasis on consumer attitudes, as well as the ESG risk ratings and practices of leading companies
• Analysis of the industry structure, including companies' market shares and rankings, strategic alliances, M&A activity and a venture funding outlook
• Profiles of the leading companies, including NVIDIA Corp., Tempus AI Inc., Recursion Pharmaceuticals, Schrodinger Inc., and Sophia Genetics

Table of Contents

Chapter 1 Executive Summary

• Market Outlook
• Scope of Report
• Market Summary
• Overview
• Current Market Scenario
• Segmental Analysis
• Regional Market Insights
• Emerging Technologies
• Conclusion

Chapter 2 Market Overview

• Overview
• Potential Applications of AI in Biotechnology
• Use Cases
• Use Case 1: Drug Discovery
• Use Case 2: Personalized Medicine
• AI's Impact on the Biotech Value Chain
• Macroeconomic Factors Analysis
• Demographic Factors
• Geopolitical Factors
• Impact of U.S. Tariffs
• Porter's Five Forces Analysis

Chapter 3 Market Dynamics

• Market Dynamics
• Market Drivers
• Need for More Effective Drug Discovery and Development Process
• Shift to Personalized Medicine
• Growing Demand for Effective and Early Diagnosis
• Rising Investments in AI in Biopharmaceuticals
• Aging Population and the Growing Prevalence of Chronic Diseases
• Market Restraints
• Data Quality and Bias
• Integration Hurdles
• Ethical Concerns
• Market Opportunities
• AI in Synthetic Biology
• Convergence of AI and Quantum Computing

Chapter 4 Regulatory Landscape

• Regulatory Scenario
• United States
• Europe
• Asia-Pacific

Chapter 5 Emerging Technologies and Developments

• Emerging Trends/Technologies
• Key Takeaways
• Agentic AI
• Generative AI
• Federated Learning
• Advanced Neural Networks

Chapter 6 Market Segmentation Analysis

• Overview
• Segmentation Breakdown
• Market Analysis by Product Type
• Key Takeaways
• Software
• Services
• Market Analysis by Deployment Type
• Key Takeaways
• Cloud-based
• On-premises
• Market Analysis by Application
• Key Takeaways
• Drug Discovery
• Clinical Trials and Optimization
• Diagnostics
• Other Applications
• Market Analysis by End User
• Key Takeaways
• Pharmaceutical and Biotechnology Companies
• Academic and Research Institutes
• Contract Manufacturing and Development Organizations
• Other End Users
• Geographic Breakdown
• Market Analysis by Region
• Key Takeaways
• North America
• Europe
• Asia-Pacific
• Rest of the World

Chapter 7 Competitive Intelligence

• Key Takeaways
• Competitive Analysis
• Strategic Initiatives
• Mergers and Acquisitions
• Agreements, Collaborations and Partnerships
• Investment Landscape

Chapter 8 Sustainability in AI in Biotechnology Market: An ESG Perspective

• Introduction to ESG
• Sustainability Trends and Company Initiatives
• ESG Risk Ratings
• Concluding Remarks

Chapter 9 Appendix

• Research Methodology
• Sources
• Abbreviations
• Company Profiles
• ABCELLERA BIOLOGICS INC.
• ABSCI CORP.
• ATOMWISE INC.
• BENEVOLENTAI
• DNANEXUS INC.
• EUROFINS SCIENTIFIC
• ILLUMINA INC.
• INSILICO MEDICINE
• NVIDIA CORP.
• QIAGEN
• RECURSION
• SCHRODINGER INC.
• SOPHIA GENETICS
• TEMPUS AI INC.
• XTALPI INC.
• Other Emerging Companies in the Market