The global AI in genomics market was valued at USD 1.3 billion in 2025 and is projected to reach USD 18.8 billion by 2033, expanding from USD 1.7 billion in 2026 at a 40.3% CAGR from 2026 to 2033. North America represented the leading regional market, accounting for 38.36% of global revenue in 2025.

Market expansion is being driven by the rapid growth of genomic datasets, increasing adoption of precision medicine, advances in next-generation sequencing (NGS), and the growing use of AI to accelerate drug discovery and development. AI-based technologies enable researchers and healthcare organizations to process, interpret, and integrate genomic information at a scale that conventional bioinformatics workflows cannot efficiently support.

Key Market Trends and Growth Drivers

Artificial Intelligence Is Becoming Essential for Genomic Data Analysis

Rapid advances in NGS have substantially increased the volume and complexity of genomic information. Whole-genome sequencing and multi-omics research generate datasets that can exceed the processing capabilities of traditional bioinformatics systems.

The National Human Genome Research Institute estimates that genomics research could generate 2 to 40 exabytes of data over the next decade. AI addresses this challenge by providing scalable capabilities for genomic data processing, pattern recognition, interpretation, and integration. As genomic datasets continue to expand, AI is becoming increasingly important for both research and clinical applications.

Precision Medicine and Drug Discovery

The increasing demand for personalized and precision medicine is another major market catalyst. AI can identify complex relationships within genomic datasets, helping researchers uncover disease-associated variants, identify potential therapeutic targets, and improve the efficiency of drug development.

Drug discovery and development represented the largest application segment, with a 33.57% revenue share in 2025, highlighting the growing role of AI-driven genomic analysis in pharmaceutical R&D.

Machine Learning Leads AI Technology Adoption

Machine learning accounted for the largest technology segment, representing 63.67% of revenue in 2025. Machine learning algorithms can analyze high-dimensional genomic datasets and identify patterns that may be difficult to detect through conventional analytical approaches.

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Market Segmentation Insights

The AI in genomics market demonstrates strong demand across software, machine learning technologies, genome sequencing applications, and pharmaceutical and biotechnology end users.

• By component: Software held the largest share at 41% in 2025.
• By technology: Machine learning led the market with a 63.67% revenue share in 2025.
• By functionality: Genome sequencing accounted for 44.52% of revenue in 2025.
• By application: Drug discovery and development represented 33.57% of revenue in 2025.
• By end use: Pharmaceutical and biotechnology companies held the largest share at 37.39%.

The market is also characterized by the increasing deployment of cloud-based genomic platforms, which provide scalable computing resources, data accessibility, and collaboration capabilities for research organizations, healthcare providers, and pharmaceutical companies.

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Regional and Competitive Landscape

North America remained the largest regional market in 2025, capturing 38.36% of global revenue. Strong biotechnology infrastructure, advanced genomic research capabilities, significant pharmaceutical R&D investment, and early adoption of AI technologies support the region's leadership. The U.S. AI in genomics market is expected to expand substantially throughout the forecast period.

Asia Pacific is anticipated to record the fastest growth from 2026 to 2033. Expanding government-backed digital health initiatives, increasing investment in biotechnology, improving genomic research infrastructure, and rising adoption of AI-based healthcare technologies are supporting regional expansion.

Market Concentration and Industry Characteristics

The AI in genomics market remains fragmented, with established technology and life sciences companies competing alongside emerging AI-focused genomic technology providers. Innovation intensity is high, while merger and acquisition activity is moderate. Regulatory influence and geographic expansion also remain significant characteristics of the competitive environment.

Companies are increasingly focused on developing AI-powered platforms that improve genomic interpretation, disease diagnostics, drug discovery, and genomic medicine workflows. Strategic partnerships are also shaping the market. For example, in September 2025, Cytiva and Paris-based WhiteLab Genomics partnered to use WhiteLab Genomics' AI platform to optimize stable cell-line development for AAV-based genomic medicines through in silico clone selection.

Key Companies in the AI in Genomics Market

Major participants include:

• Microsoft Corporation
• NVIDIA Corporation
• Deep Genomics
• Data4Cure, Inc.
• Freenome Holdings, Inc.
• Thermo Fisher Scientific
• Illumina, Inc.
• SOPHiA GENETICS
• BenevolentAI
• Fabric Genomics

Explore the full list of profiled companies operating in this market with recent strategic initiatives

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