유전체학용 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global AI in genomics market size is expected to reach USD 36.47 Billion in 2034 from USD 1.45 Billion in 2025, growing at a CAGR of 43.14% during 2026-2034.This market is gaining momentum as genomic datasets become larger and more complex, creating demand for advanced technologies capable of processing biological information efficiently. Artificial intelligence helps researchers analyze genetic sequences, identify disease-associated mutations, and accelerate genomic interpretation. Growing investments in precision healthcare, biotechnology research, and personalized medicine are encouraging organizations to adopt AI-powered genomic platforms. Improvements in sequencing technologies are also generating increasingly detailed datasets, creating significant opportunities for computational tools capable of extracting meaningful insights from genomic information.

One of the strongest drivers is the growing emphasis on early disease detection and personalized treatment strategies. AI algorithms can analyze genetic variations alongside clinical and biological information, helping researchers identify potential biomarkers and therapeutic targets. Pharmaceutical companies are also using these technologies to improve drug discovery and understand disease mechanisms. Increasing collaborations between technology companies, research institutions, and biotechnology firms are strengthening innovation. Expanding genomic databases, improved computational infrastructure, and advances in machine learning are further supporting the development of sophisticated analytical applications for healthcare and biomedical research.

Future prospects are promising as AI becomes increasingly integrated into genomic research and clinical workflows. Continued improvements in deep learning, natural language processing, and predictive modeling could enhance the interpretation of complex genetic information. Applications may expand across oncology, rare diseases, inherited disorders, drug development, and population genomics. Greater adoption will depend on data privacy, regulatory frameworks, interoperability, and the availability of high-quality datasets. As sequencing becomes more accessible and healthcare systems increasingly embrace personalized approaches, AI-powered genomic analysis is expected to become an important component of advanced healthcare and biomedical research.

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 Component

• Software
• Hardware
• Service

By Technology

• Machine Learning (ML)
• Deep Learning (Supervised, Unsupervised, Others)
• Computer Vision

By Functionality

• Genome Sequencing
• Gene Editing
• Others

By Application

• Drug Discovery & Development
• Precision Medicine
• Diagnostics
• Other Applications

By End Use

• Pharmaceutical and Biotechnology Companies
• Healthcare Providers
• Research Centers
• Others

COMPANIES PROFILED

• Amazon Web Services (AWS), BenevolentAI, Data4Cure, Inc., Deep Genomics, DNAnexus, Fabric Genomics, Freenome Holdings, Inc., Genomenon, Ginkgo Bioworks, Google DeepMind, IBM, Illumina, Inc., Insilico Medicine, Lifebit, Microsoft Corporation, NVIDIA Corporation, Oracle, PathAI, PrecisionLife, QIAGEN, Roche, SOPHiA GENETICS, Tempus AI, Thermo Fisher Scientific

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 AI IN GENOMICS MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN GENOMICS MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Technology
• 5.2. Machine Learning (ML) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Deep Learning (Supervised, Unsupervised, Others) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN GENOMICS MARKET: BY FUNCTIONALITY 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Functionality
• 6.2. Genome Sequencing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Gene Editing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN GENOMICS MARKET: BY APPLICATION 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Application
• 7.2. Drug Discovery & Development Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Precision Medicine Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Diagnostics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN GENOMICS MARKET: BY END USE 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End Use
• 8.2. Pharmaceutical and Biotechnology Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Healthcare Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Research Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN GENOMICS MARKET: BY REGION 2022-2034 (USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Component
  • 9.2.2 By Technology
  • 9.2.3 By Functionality
  • 9.2.4 By Application
  • 9.2.5 By End Use
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Component
  • 9.3.2 By Technology
  • 9.3.3 By Functionality
  • 9.3.4 By Application
  • 9.3.5 By End Use
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Component
  • 9.4.2 By Technology
  • 9.4.3 By Functionality
  • 9.4.4 By Application
  • 9.4.5 By End Use
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Component
  • 9.5.2 By Technology
  • 9.5.3 By Functionality
  • 9.5.4 By Application
  • 9.5.5 By End Use
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Component
  • 9.6.2 By Technology
  • 9.6.3 By Functionality
  • 9.6.4 By Application
  • 9.6.5 By End Use
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN GENOMICS INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Amazon Web Services (AWS)
  • 11.2.2 BenevolentAI
  • 11.2.3 Data4CureInc
  • 11.2.4 Deep Genomics
  • 11.2.5 DNAnexus
  • 11.2.6 Fabric Genomics
  • 11.2.7 Freenome HoldingsInc
  • 11.2.8 Genomenon
  • 11.2.9 Ginkgo Bioworks
  • 11.2.10 Google DeepMind
  • 11.2.11 IBM
  • 11.2.12 IlluminaInc
  • 11.2.13 Insilico Medicine
  • 11.2.14 Lifebit
  • 11.2.15 Microsoft Corporation
  • 11.2.16 NVIDIA Corporation
  • 11.2.17 Oracle
  • 11.2.18 PathAI
  • 11.2.19 PrecisionLife
  • 11.2.20 QIAGEN
  • 11.2.21 Roche
  • 11.2.22 SOPHiA GENETICS
  • 11.2.23 Tempus AI
  • 11.2.24 Thermo Fisher Scientific