Artificial Intelligence in Genomics Market - Global Forecast 2025-2032

The Artificial Intelligence in Genomics Market is experiencing a surge in adoption as AI technologies redefine data analysis, research workflows, and clinical applications in genomics. Senior leaders are recognizing the transformative role of machine-driven analytics for advancing precision medicine, improving efficiency, and unlocking new pathways for innovation.

Market Snapshot: Artificial Intelligence in Genomics

The Artificial Intelligence in Genomics Market grew from USD 740.23 million in 2024 to USD 984.96 million in 2025. It is expected to continue growing at a CAGR of 33.63%, reaching USD 7.53 billion by 2032. This strong upward momentum is driven by increasing integration of AI algorithms with genomic sequencing, propelling the market toward scalable, personalized healthcare solutions. Strategic investments, growing data complexities, and the expanding use of high-throughput platforms are enabling industry shift toward predictive diagnostics and targeted therapies.

Scope & Segmentation

This report provides an in-depth analysis and forecasts market trends across core segments, major regions, and leading technology approaches:

• Application Areas: Agriculture & Animal Genomics, including Crop Improvement and Livestock Breeding; Diagnostics across Clinical and Research; Drug Discovery through Lead Identification, Preclinical Testing, Target Validation; and Precision Medicine with Companion Diagnostics, Personalized Therapeutics, and Pharmacogenomics.
• AI Techniques: Deep Learning approaches such as Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks; Machine Learning including Reinforcement, Supervised, and Unsupervised Learning; Natural Language Processing with Sentiment Analysis and Text Mining.
• Service Categories: Bioinformatics Services—Annotation, Data Analysis, and Interpretation; Consulting for Implementation Support and Strategy Development; Sequencing Services—Exome, Transcriptome, and Whole Genome Sequencing; and Software & Platform solutions both Cloud-Based and On-Premise.
• Sequencing Types: Next Generation Sequencing (Illumina, Ion Torrent, PacBio), Sanger Sequencing (Capillary, Fluorescence).
• End Users: Academic & Research (Research Institutes, Universities), Hospitals & Clinics (Diagnostic Laboratories, Medical Centers), and Pharma & Biotech (Biotech Firms, Large Pharma).
• Regional Coverage: Americas (United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru), Europe (United Kingdom, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland), Middle East (UAE, Saudi Arabia, Qatar, Turkey, Israel), Africa (South Africa, Nigeria, Egypt, Kenya), Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan).
• Market Players: F. Hoffmann-La Roche Ltd, Thermo Fisher Scientific Inc., Illumina, Inc., Agilent Technologies, Inc., QIAGEN N.V., Bio-Rad Laboratories, Inc., PerkinElmer, Inc., BGI Genomics Co., Ltd, NanoString Technologies, Inc., SOPHiA Genetics SA.

Key Takeaways

• AI is redefining genomic research by enabling real-time, high-throughput analysis of data, supporting breakthroughs in disease diagnostics and therapeutic design.
• Machine learning, deep learning, and natural language processing are bridging experimental and clinical environments, leading to actionable, patient-centric insights.
• Explainable and federated AI models are becoming important for regulatory compliance and privacy-respecting collaboration across global institutions.
• Segment-specific applications—such as predictive breeding in agriculture or biomarker-driven drug discovery—enable customized solutions for distinct industry domains.
• Regional activity varies, with North America prioritizing innovation and infrastructure, Europe enhancing data governance, and Asia-Pacific advancing cost-effective automation at scale.

Tariff Impact

Recent United States tariffs are prompting organizations to rethink sourcing and procurement for sequencing equipment and computational infrastructure. The resulting increase in costs is accelerating domestic manufacturing and supply chain diversification. Cross-border research continues via secure, cloud-based collaboration, which helps maintain momentum despite trade barriers and reduces vulnerabilities within the ecosystem.

Methodology & Data Sources

This research leverages rigorous primary interviews with experts in genomics and AI, combined with comprehensive secondary data from peer-reviewed journals, conference records, patent filings, and regulatory updates. Triangulation and expert panel validation ensure reliability and balance across findings and segment analyses.

Why This Report Matters

• Delivers actionable insights for aligning organizational strategy with emerging opportunities and evolving AI applications in genomics.
• Supports targeted investment decisions by detailing segmentation, technology adoption, and region-specific trends for senior stakeholders.
• Illustrates the interplay of regulatory, technological, and market dynamics, equipping leaders to mitigate risks and drive innovation.

Conclusion

The Artificial Intelligence in Genomics Market is being shaped by the convergence of data-driven research, advanced technology integration, and evolving regulatory environments. Leaders who adopt innovative AI-driven solutions and proactively navigate market changes will unlock new value in precision healthcare and genomic innovation.

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