Global Ai in genomics market Report Insights and Growth Outlook to 2034 - Strategic Trade Shifts, Tariff Impacts, and Supply Chain Reinvention Driving Competitive Advantage

According to OG Analysis, a renowned market research firm, the Global Ai in genomics market was valued at USD 983.5 Million in 2024. The market is projected to grow at a compound annual growth rate (CAGR) of 42.7%, rising from USD 1403 Million in 2025 to an estimated USD 35,157.8 Million by 2034.

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Ai in genomics market Overview
The AI in genomics market is witnessing rapid evolution as artificial intelligence technologies integrate deeply into genomics research, diagnostics, and personalized medicine. Increasing demand for precision medicine, faster sequencing technologies, and the availability of vast genomic datasets are key factors driving growth. AI tools are now deployed to decode complex genomic patterns, identify disease-causing genes, predict disease risks, and accelerate drug discovery pipelines efficiently. Companies are leveraging machine learning algorithms to analyze next-generation sequencing data for identifying biomarkers and therapeutic targets with greater accuracy. This trend is strengthened by rising investments from biotechnology firms, pharmaceutical companies, and research institutes aiming to reduce R&D timelines and cost burdens. Strategic collaborations among AI technology developers, healthcare providers, and genomics companies are fostering innovation, resulting in novel solutions for cancer genomics, rare disease diagnostics, and personalized treatments. The market is further driven by regulatory support for AI-based genomic diagnostic tools, initiatives to build genomic databases, and technological advancements in cloud computing and data storage, enabling large-scale analysis with enhanced computational power and security.

Looking ahead, AI in genomics will transform healthcare delivery by enabling population-scale genomic studies, early disease prediction, and optimized therapeutic recommendations. Start-ups and established players are developing advanced algorithms to integrate genomics data with clinical records and lifestyle information to generate actionable insights. The increasing adoption of AI-enabled genomic analysis platforms in hospitals, diagnostics labs, and pharmaceutical R&D centres is expected to improve patient outcomes and operational efficiencies. However, challenges such as data privacy concerns, lack of standardization in AI models, and the need for skilled professionals to manage AI-genomics interfaces remain. As genomic data continues to grow exponentially, AI solutions that offer scalable, interpretable, and regulatory-compliant results will dominate the market. Overall, the AI in genomics market is positioned to play a critical role in revolutionizing personalized medicine, preventive healthcare, and life sciences research globally in the coming years.

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Key Ai in genomics market Companies Analysed in this Report include -
Deep Genomics
Data4Cure, Inc.
Freenome Holdings, Inc.
Illumina, Inc.
SOPHiA GENETICS
BenevolentAI
IBM Corporation
Microsoft Corporation

Key Insights from the report -
Integration of Multi-Omics Data
AI tools are increasingly integrating genomics with transcriptomics, proteomics, and metabolomics data.
This holistic approach enhances understanding of disease mechanisms and biomarker discovery.
It supports more precise diagnostics and personalized treatment strategies in complex diseases.

Expansion in Cancer Genomics Applications
AI algorithms are widely used in oncology to analyse tumour genomes and identify actionable mutations.
They aid in predicting cancer progression and response to targeted therapies efficiently.
This trend accelerates the adoption of AI-driven genomics platforms in cancer research and care.

Rising Partnerships Between Tech and Biopharma
Collaborations between AI tech firms and biopharma companies are growing rapidly worldwide.
These partnerships aim to accelerate drug discovery by analysing genetic variants linked to diseases.
Joint initiatives ensure faster therapeutic target identification with improved predictive accuracy.

Development of Explainable AI Models
There is a strong focus on developing explainable AI in genomics to ensure transparency and trust.
These models help clinicians understand how AI predicts disease risks or genetic impacts.
Such interpretability is critical for clinical adoption and regulatory approvals of AI-genomics tools.

Advancements in AI-Powered Genomic Sequencing Analysis
AI is enhancing next-generation sequencing (NGS) data interpretation with faster and accurate pipelines.
Automated variant calling, annotation, and prioritisation are transforming diagnostics and research workflows.
This trend significantly reduces analysis turnaround time and operational burdens in genomic labs.

Increased Regulatory Support for AI-Genomics Solutions
Regulatory agencies are building frameworks to evaluate and approve AI-based genomic diagnostics.
Guidelines supporting validation, safety, and effectiveness are boosting market confidence.
This facilitates wider clinical adoption and integration of AI tools into healthcare systems globally.

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Get an In-Depth Analysis of the Ai in genomics market Size and Market Share split -
By Offering:
Software
Services

By Technology:
Machine Learning
Deep Learning
Computer Vision

By Functionality:
Genome Sequencing
Gene Editing
Clinical Workflows
Predictive Genetic Testing & Preventive Medicine

By Application:
Drug Discovery & Development
Precision Medicine
Diagnostics
Others

By End-User:
Pharmaceutical & Biotech Companies
Healthcare Providers
Research Centers & Academic Institutes
Others

By Geography:
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Spain, Italy, Rest of Europe)
Asia-Pacific (China, India, Japan, Australia, South Korea, Rest of APAC)
The Middle East and Africa (Saudi Arabia,
UAE, Iran, South Africa, Rest of MEA)
South and Central America (Brazil, Argentina, Rest of SCA)

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