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AI In Genomics Market Forecast Highlighting Growth From $2.18 Billion To $9.32 Billion
The market for AI in genomics has experienced remarkable exponential expansion in recent years. Its valuation is projected to rise from $1.51 billion in 2025 to $2.18 billion in 2026, reflecting a compound annual growth rate (CAGR) of 44.6%. During the historical period, this growth was driven by factors such as the growing accessibility of large-scale genomic datasets, decreasing expenses associated with DNA sequencing technologies, the broadening of genomics research initiatives, increased partnerships between artificial intelligence developers and biotechnology companies, and enhancements in computational biology capabilities.
The artificial intelligence in genomics market is anticipated to experience remarkable expansion over the coming years. By 2030, its value is projected to rise to $9.32 billion, driven by a compound annual growth rate of 43.7%. This forecasted growth can be linked to several key factors, including a broader embrace of precision medicine, heightened funding for drug discovery powered by AI, the widening scope of population genomics initiatives, an increasing need for tailored healthcare options, and notable progress in deep learning models for genomic analysis. Among the major developments shaping this period are the growing popularity of AI-led genome analysis tools, increased reliance on machine learning for detecting genetic variants, deeper incorporation of AI into gene editing procedures, the shift toward cloud-based genomic data management, and a stronger emphasis on highly accurate pattern recognition technologies.
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AI In Genomics Market Demand Drivers: What Is Fueling Industry Growth?
The anticipated growth of the AI in genomics market is being driven by the rising application of personalized medicine approaches. Often referred to as precision medicine, this innovative healthcare strategy accounts for individual differences in patients’ genetics, surroundings, and lifestyles. Its increasing adoption stems from the growing prevalence of chronic and complex illnesses, as these methods enable therapies to be customized according to each patient’s unique profile, thereby enhancing efficacy and minimizing side effects. By accelerating the examination of intricate genetic information, AI empowers personalized medicine through the design of individualized treatments and interventions based on a person’s distinct genetic blueprint. For example, in February 2024, the Personalized Medicine Coalition, a US-based hospital and healthcare organization, reported that the FDA greenlit 16 new targeted therapies for rare disease patients in 2023, a notable increase from 6 in 2022. Consequently, the expanded utilization of personalized medicine is propelling the AI in genomics market forward.
AI In Genomics Market Segmentation: How Is The Market Structured Across Key Categories?
The AI in genomics market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology: Machine Learning, Computer Vision
3) By Functionality: Genome Sequencing, Gene Editing, Other Functionalities
4) By Application: Drug Discovery And Development, Precision Medicine, Diagnostics, Other Applications
5) By End-Use: Pharmaceutical And Biotech Companies, Healthcare Providers, Research Centers, Other End-Users
Subsegments:
1) By Hardware: Servers, Storage Devices, Networking Equipment
2) By Software: Data Analysis Software, Machine Learning Algorithms, Visualization Tools, Genomic Data Management Software
3) By Services: Consulting Services, Integration Services, Support And Maintenance, Data Analytics Services
AI In Genomics Market Innovation Trends: Which Developments Are Transforming The Industry?
Major players operating within the AI in genomics market are actively developing novel solutions, including drug discovery platforms, in an effort to improve the accuracy of precision healthcare and boost research productivity. A drug discovery platform refers to a technology or software system that leverages computational tools, artificial intelligence, or laboratory automation to efficiently identify, design, and optimize potential new drug candidates. For example, in March 2023, Genomic Vision, a biotechnology firm based in France that concentrates on creating diagnostic tools for genetic disorders and cancers, unveiled FiberSmart. This AI-powered software facilitates the high-resolution visualization and analysis of long DNA fibers. This innovation holds the potential to fundamentally transform how genetic diseases are diagnosed and treated, having been introduced to enhance both the precision and efficacy of these medical processes. By analyzing vast datasets, this technology can uncover patterns and insights that would be beyond human capability to detect independently.
AI In Genomics Market Competitive Landscape And Leading Companies
Major companies operating in the AI in genomics market are International Business Machines Corporation; Microsoft Corp.; NVIDIA Corporation; Deep Genomics Inc.; BenevolentAI Ltd.; Fabric Genomics Inc.; Verge Genomic Inc.; Freenome Holdings Inc.; MolecularMatch Inc.; SOPHiA GENETICS SA; Data4Cure Inc.; PrecisionLife Ltd.; Genoox Ltd.; Lifebit Ltd.; Empiric Logic Ltd.; FDNA Inc.; DNAnexus Inc.; Engine Biosciences Pte Ltd.; 4baseCare; Congenica Ltd.; CytoReason Ltd.; Emedgene Technologies LTD; Illumina Inc.; Lifebit Biotech Ltd.; Mendel.ai; Predictive Oncology Inc.; Tempus Labs Inc.; 10x Genomics Inc.; Repositive Limited; Genedata AG; Global Gene Corp; Nference Inc.; Bluebee Holding B.V.; Genomenon Inc.
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AI In Genomics Market Geographic Landscape: Which Region Dominates Industry Growth?
North America was the largest region in the AI in genomics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the AI in the genomics market report during the forecast period. The regions covered in the AI in genomics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.