According to the research report titled, 'Artificial Intelligence in Genomics Market by Offering (Software, Services), Functionality (Genome Sequencing, Gene Editing, Genome Assembly & Annotation, Pharmacogenomics), Application (Drug Discovery & Development, Precision Medicine, Diagnostics, Agricultural Genomics), Delivery Mode (On-premises, Cloud & Web-Based), and End User - Global Forecast to 2036,' the global artificial intelligence in genomics market is expected to reach approximately USD 19.96 billion by 2036 from USD 1.90 billion in 2026, at a CAGR of 26.5% during the forecast period (2026-2036). The report provides an in-depth analysis of the global artificial intelligence in genomics market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges. The major factors driving the growth of the artificial intelligence in genomics market include the increasing volume of genomic data generated by next-generation sequencing technologies and the limitations of traditional bioinformatics tools. Additionally, the rapid growth of AI-driven precision medicine and increasing investment in drug discovery are expected to create significant growth opportunities for players operating in the artificial intelligence in genomics market.
Market Segmentation
The artificial intelligence in genomics market is segmented by offering (software, services), functionality (genome sequencing, gene editing, genome assembly & annotation, pharmacogenomics, others), application (drug discovery & development, precision medicine, diagnostics, agricultural genomics, others), delivery mode (on-premises, cloud & web-based), and end user. The study also evaluates industry competitors and analyzes the market at the country level.
Based on Offering
By offering, the software segment holds the largest market share in 2026, primarily driven by the increasing demand for AI-powered genomic interpretation platforms, automated variant calling tools, and cloud-native bioinformatics software. Software solutions represent the primary market driver for the AI in genomics industry. However, the services segment is expected to grow at a significant CAGR during the forecast period, driven by the increasing demand for specialized bioinformatics consulting, AI model customization, and managed genomic data analysis services to support clinical research and drug development.
Based on Functionality
By functionality, the genome sequencing segment holds the largest market share in 2026, reflecting the fundamental role of AI in processing massive raw sequencing datasets and improving the accuracy of base calling and variant detection. Genome sequencing represents the primary functionality for AI in genomics. The gene editing and pharmacogenomics segments are expected to witness significant growth during the forecast period, supported by the increasing use of AI to predict off-target effects in CRISPR-based therapies and to optimize personalized drug regimens based on genomic profiles.
Based on Application
By application, the drug discovery & development segment holds the largest market share in 2026, owing to the massive potential of AI in identifying novel therapeutic targets and accelerating the lead optimization process through genomic insights. Drug discovery & development represents the primary application for AI in genomics. The precision medicine and diagnostics segments are expected to witness the fastest growth during the forecast period, driven by the increasing clinical adoption of genomic-based diagnostics for oncology and rare diseases.
Based on Delivery Mode
By delivery mode, the cloud & web-based segment holds the largest market share in 2026, primarily attributed to the high computational requirements of genomic analysis and the scalability offered by cloud platforms for managing large-scale population genomics data. Cloud-based delivery represents the most prevalent category in the AI in genomics market. The on-premises segment continues to represent a significant portion of the market, particularly among large research institutions and healthcare organizations that prioritize data sovereignty and internal control over sensitive patient genomic data.
Geographic Analysis
An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. In 2026, North America dominates the global artificial intelligence in genomics market with the largest market share, primarily attributed to the high concentration of biotech and AI companies, robust research funding, and the early adoption of precision medicine in the U.S. and Canada. Europe maintains a significant market share, supported by large-scale national genomics initiatives. Asia-Pacific is expected to witness the fastest growth during the forecast period, supported by rapidly expanding healthcare infrastructure and increasing genomic research investments in China, India, and Japan. Latin America and the Middle East & Africa represent emerging markets with growing emphasis on genomic health programs.
Key Players
The key players operating in the global artificial intelligence in genomics market are NVIDIA Corporation, IBM Corporation, Microsoft Corporation, Google LLC, Illumina Inc., Tempus AI Inc., GeneDx Inc., Fabric Genomics Inc., Sophia Genetics SA, BenevolentAI, Freenome Holdings Inc., Deep Genomics, and various other regional and emerging AI-driven biotechnology providers, among others.
Key Questions Answered in the Report
What is the current revenue generated by the artificial intelligence in genomics market globally?
At what rate is the global artificial intelligence in genomics market demand projected to grow for the next 7-10 years?
What are the historical market sizes and growth rates of the global artificial intelligence in genomics market?
What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
Which segments in terms of offering, functionality, application, and delivery mode are expected to create major traction for the service providers in this market?
What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global artificial intelligence in genomics market?
Who are the major players in the global artificial intelligence in genomics market? What are their specific product offerings in this market?
What are the recent strategic developments in the global artificial intelligence in genomics market? What are the impacts of these strategic developments on the market?
Scope of the Report:
AI in Genomics Market Assessment - by Offering
Software
Services
AI in Genomics Market Assessment - by Functionality
Genome Sequencing
Gene Editing
Genome Assembly & Annotation
Pharmacogenomics
Others
AI in Genomics Market Assessment - by Application
Drug Discovery & Development
Precision Medicine
Diagnostics
Agricultural Genomics
Others
AI in Genomics Market Assessment - by Delivery Mode
2.1. Research Approach 2.2. Data Collection & Validation 2.2.1. Secondary Research 2.2.2. Primary Research 2.3. Market Assessment 2.3.1. Market Size Estimation 2.3.2. Bottom-Up Approach 2.3.3. Top-Down Approach 2.3.4. Growth Forecast 2.4. Assumptions for the Study
3. Executive Summary
3.1. Overview 3.2. Market Analysis, By Offering 3.3. Market Analysis, By Functionality 3.4. Market Analysis, By Application 3.5. Market Analysis, By Delivery Mode 3.6. Market Analysis, By End User 3.7. Market Analysis, By Geography 3.8. Competitive Analysis
4. Market Insights
4.1. Introduction 4.2. Global Artificial Intelligence in Genomics Market: Impact Analysis of Market Drivers (2026-2036) 4.2.1. Growing Adoption of AI Across the Healthcare Sector and Rising Focus on Reducing Turnaround Time in Drug Discovery and Diagnostics 4.2.2. Increasing Generation of Genomic Data from Next-Generation Sequencing Technologies 4.2.3. Growing Investments in Genomics Research and AI Infrastructure 4.3. Global Artificial Intelligence in Genomics Market: Impact Analysis of Market Restraints (2026-2036) 4.3.1. Data Privacy and Security Concerns in Genomic Data Management 4.3.2. Lack of Standardization in Genomic Data Formats and AI Model Validation 4.4. Global Artificial Intelligence in Genomics Market: Impact Analysis of Market Opportunities (2026-2036) 4.4.1. Growing Trend Toward Personalized and Precision Medicine 4.4.2. Increasing Public and Private Investment in Genomics Research and AI Infrastructure 4.4.3. Expansion of AI-Driven Clinical Genomic Diagnostics and Rare Disease Identification 4.5. Global Artificial Intelligence in Genomics Market: Impact Analysis of Market Challenges (2026-2036) 4.5.1. Shortage of Skilled Professionals with Combined AI and Genomics Expertise 4.5.2. Ethical and Regulatory Complexities Surrounding Genomic Data Use 4.6. Global Artificial Intelligence in Genomics Market: Impact Analysis of Market Trends (2026-2036) 4.6.1. Growing Integration of Large Language Models and Generative AI in Genomic Data Analysis 4.6.2. Expansion of AI-Driven Genomic Diagnostics and Rare Disease Identification 4.6.3. Growing Adoption of Multi-Omics and AI-Integrated Data Platforms 4.7. Porter’s Five Forces Analysis 4.7.1. Threat of New Entrants 4.7.2. Bargaining Power of Suppliers 4.7.3. Bargaining Power of Buyers 4.7.4. Threat of Substitute Products 4.7.5. Competitive Rivalry
5. The Impact of Technology on the Global Artificial Intelligence in Genomics Market
5.1. Introduction 5.2. Advances in Machine Learning and Deep Learning Algorithms for Genomic Data Analysis 5.3. Large Language Models and Generative AI in Genomics 5.4. High-Performance Computing and GPU Acceleration in Genomic Analysis 5.5. Cloud Computing and Scalable Genomics Data Platforms 5.6. Next-Generation Sequencing Technology Advances Driving AI Adoption 5.7. Impact on Market Growth and Competitive Differentiation
11. Global Artificial Intelligence in Genomics Market, By End User
11.1. Introduction 11.2. Pharmaceutical & Biopharmaceutical Companies 11.3. Academic & Research Institutes 11.4. Hospitals & Clinical Laboratories 11.5. Other End Users
12. Global Artificial Intelligence in Genomics Market, By Geography
12.1. Introduction 12.2. North America 12.2.1. U.S. 12.2.2. Canada 12.3. Europe 12.3.1. Germany 12.3.2. U.K. 12.3.3. France 12.3.4. Italy 12.3.5. Spain 12.3.6. Rest of Europe 12.4. Asia-Pacific 12.4.1. China 12.4.2. Japan 12.4.3. India 12.4.4. South Korea 12.4.5. Rest of Asia-Pacific 12.5. Latin America 12.5.1. Brazil 12.5.2. Mexico 12.5.3. Rest of Latin America 12.6. Middle East & Africa
13. Company Profiles
(Business Overview, Financial Overview, Product Portfolio, Strategic Developments, SWOT Analysis) 13.1. Microsoft Corporation 13.2. NVIDIA Corporation 13.3. Illumina, Inc. 13.4. Tempus AI, Inc. 13.5. GeneDx, Inc. 13.6. Deep Genomics, Inc. 13.7. DNAnexus, Inc. 13.8. SOPHiA GENETICS SA 13.9. BenevolentAI Limited 13.10. Freenome Holdings, Inc. 13.11. BGI Genomics Co., Ltd. 13.12. Predictive Oncology Inc. 13.13. Congenica Ltd. 13.14. 10x Genomics, Inc.
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