Artificial Intelligence in Genomics Market - Global Forecast to 2036 | Market to Reach USD 19.96 Billion at 26.5% CAGR, Fueled by Precision Medicine and AI-Driven Drug Discovery

Dublin, Oct. 19, 2026 -- "Artificial Intelligence in Genomics Market - Global Forecast to 2036" has been added to ResearchAndMarkets.com's offering.

The global artificial intelligence in genomics market is projected to reach approximately USD 19.96 billion by 2036, rising from USD 1.90 billion in 2026 at a CAGR of 26.5% during the 2026-2036 forecast period, according to the report.

Market growth is being driven by the expanding volume of genomic data generated through next-generation sequencing technologies, combined with the limitations of traditional bioinformatics tools. Increasing adoption of AI-driven precision medicine, continued investment in drug discovery, and demand for scalable genomic analysis platforms are also creating opportunities for technology companies, biotechnology providers, healthcare organizations, and research institutions.

The report evaluates current artificial intelligence in genomics market trends, revenue estimates, competitive developments, growth opportunities, and forecasts across five major regions. It also assesses key market drivers, restraints, challenges, and strategic developments influencing industry growth through 2036.

Artificial Intelligence in Genomics Market Segmentation

The market is segmented by offering, functionality, application, delivery mode, end user, and geography. The analysis covers software and services; genome sequencing, gene editing, genome assembly & annotation, pharmacogenomics, and other functionalities; drug discovery & development, precision medicine, diagnostics, agricultural genomics, and other applications; and on-premises and cloud & web-based delivery modes.

Software Leads the Market by Offering

The software segment holds the largest market share in 2026. Growth is supported by demand for AI-powered genomic interpretation platforms, automated variant calling tools, and cloud-native bioinformatics software. These platforms help organizations process complex genomic datasets and integrate analytical workflows across research and clinical environments.

The services segment is expected to record a significant CAGR through 2036 as demand increases for specialized bioinformatics consulting, AI model customization, and managed genomic data analysis. Clinical research organizations and drug developers are increasingly using external expertise to support advanced genomic programs and accelerate project timelines.

Genome Sequencing Holds the Largest Functionality Share

Genome sequencing accounts for the largest share of the artificial intelligence in genomics market in 2026. AI technologies are increasingly used to process raw sequencing datasets and improve base calling and variant detection accuracy.

Gene editing and pharmacogenomics are forecast to expand significantly during the forecast period. Adoption is being supported by the use of AI to predict off-target effects in CRISPR-based therapies and optimize personalized drug regimens using genomic profiles.

Drug Discovery & Development Remains the Leading Application

Drug discovery & development represents the largest application segment in 2026, supported by the use of artificial intelligence to identify therapeutic targets and accelerate lead optimization through genomic insights. Pharmaceutical and biotechnology companies continue to invest in integrated AI and genomics capabilities to improve research productivity.

Precision medicine and diagnostics are expected to experience the fastest growth through 2036. Expansion will be driven by greater clinical adoption of genomic-based diagnostics, particularly in oncology and rare diseases, along with broader implementation of personalized treatment strategies.

Cloud & Web-Based Platforms Dominate Delivery

The cloud & web-based segment holds the largest market share in 2026 due to the substantial computational requirements associated with genomic analysis. Cloud platforms provide the scalability needed to manage large-scale population genomics datasets and support collaborative research programs.

On-premises deployment continues to account for a significant market share among large research institutions and healthcare organizations. These end users often prioritize data sovereignty, internal infrastructure management, and direct control over sensitive patient genomic information.

Regional Artificial Intelligence in Genomics Market Outlook

North America dominates the global market in 2026, supported by a high concentration of biotechnology and artificial intelligence companies, strong research funding, and early adoption of precision medicine across the U.S. and Canada.

Europe maintains a substantial market position through national genomics initiatives and established biomedical research networks. Asia-Pacific is projected to register the fastest growth during the forecast period, driven by expanding healthcare infrastructure and rising genomic research investment in China, India, Japan, Australia, and Southeast Asia. Latin America and the Middle East & Africa are emerging markets, with increasing focus on genomic health programs and research capacity.

Competitive Landscape

Prominent companies operating in the artificial intelligence in genomics market include 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., and Deep Genomics. The competitive landscape also includes regional companies and emerging AI-driven biotechnology providers developing specialized genomic software, analytical services, and clinical research solutions.

Report Coverage

• Offering: Software and services
• Functionality: Genome sequencing, gene editing, genome assembly & annotation, pharmacogenomics, and others
• Application: Drug discovery & development, precision medicine, diagnostics, agricultural genomics, and others
• Delivery mode: On-premises and cloud & web-based
• Geography: North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa

The report provides country-level market analysis, historical and projected revenue trends, segment growth assessments, competitive profiles, product offerings, and an evaluation of recent strategic developments. It also identifies geographic opportunities and high-growth market segments for established participants and new entrants seeking to compete in the global artificial intelligence in genomics market.

Key Topics Covered:

1. Introduction
1.1. Market Definition
1.2. Market Ecosystem
1.3. Currency and Limitations
1.3.1. Currency
1.3.2. Limitations
1.4. Key Stakeholders

2. Research Methodology
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. 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

6. Competitive Landscape
6.1. Introduction
6.2. Key Growth Strategies
6.2.1. Synergy Analysis: Major Deals & Strategic Alliances
6.3. Competitive Dashboard
6.3.1. Industry Leaders
6.3.2. Market Differentiators
6.3.3. Vanguards
6.3.4. Emerging Companies
6.4. Vendor Market Positioning
6.5. Market Share/Ranking by Key Players

7. Global Artificial Intelligence in Genomics Market, By Offering
7.1. Introduction
7.2. Software
7.3. Services

8. Global Artificial Intelligence in Genomics Market, By Functionality
8.1. Introduction
8.2. Genome Sequencing
8.3. Gene Editing
8.4. Genome Assembly & Annotation
8.5. Pharmacogenomics
8.6. Other Functionalities

9. Global Artificial Intelligence in Genomics Market, By Application
9.1. Introduction
9.2. Drug Discovery & Development
9.3. Precision Medicine
9.4. Diagnostics
9.5. Agricultural Genomics
9.6. Other Applications

10. Global Artificial Intelligence in Genomics Market, By Delivery Mode
10.1. Introduction
10.2. On-premises
10.3. Cloud & Web-Based

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.

For more information about this report visit https://www.researchandmarkets.com/r/drji8o

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