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AI In Genomics Market Forecast Highlighting Growth From $2.18 Billion To $9.32 Billion
The AI in genomics market has seen substantial growth in recent years. This market is expected to increase from $1.51 billion in 2025 to $2.18 billion in 2026, achieving a compound annual growth rate (CAGR) of 44.6%. In previous periods, this expansion was driven by factors such as the increasing availability of extensive genomic datasets, the reduction in costs associated with DNA sequencing technologies, the broadening of genomics research initiatives, rising collaboration between AI developers and biotech firms, and enhancements in computational biology capabilities.
The AI in genomics market is poised for rapid expansion over the coming years. By 2030, its valuation is anticipated to reach $9.32 billion, progressing at a compound annual growth rate (CAGR) of 43.7%. This projected increase during the forecast duration stems from several factors, including the wider acceptance of precision medicine methodologies, heightened investments in AI-driven drug discovery, the proliferation of population genomics initiatives, an escalating need for individualized healthcare options, and continuous improvements in deep learning models for genomics. Key developments during this same period are characterized by the greater uptake of AI-powered genome analysis platforms, an increased reliance on machine learning for identifying genetic variants, the expanding incorporation of AI into gene editing processes, the broadening of cloud-based solutions for genomic data management, and a sharpened emphasis on highly accurate pattern recognition techniques.
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AI In Genomics Market Development Factors: Which Trends Are Supporting Demand?
The increasing use of personalized medicine approaches is projected to boost the growth of AI in the genomics market moving forward. Personalized medicine, also referred to as precision medicine, represents a novel medical treatment and healthcare strategy that considers individual variations in patients’ genes, surrounding environment, and lifestyles. The rising prevalence of chronic and complex diseases is driving the greater adoption of personalized medicine, as these methods enable treatments to be customized for individual patient profiles, thereby improving effectiveness and reducing negative side effects. AI in genomics speeds up the analysis of intricate genetic data, making personalized medicine possible by customizing treatments and interventions to an individual’s unique genetic profile. For instance, in February 2024, the US-based hospital and healthcare organization, Personalized Medicine Coalition, reported that the FDA approved 16 new personalized treatments for rare disease patients in 2023, an increase from 6 in 2022. Hence, the expanding application of personalized medicine approaches is propelling the AI in the genomics market.
AI In Genomics Market Segmentation Trends And Revenue Drivers
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 Trends: What Is Shaping Future Industry Growth?
Leading companies within the AI in genomics market are prioritizing the creation of advanced solutions, including drug discovery platforms, to boost precision healthcare and research effectiveness. A drug discovery platform represents a technological or software system that employs computational instruments, artificial intelligence, or lab automation to efficiently identify, design, and refine new drug candidates. For example, in March 2023, Genomic Vision, a biotechnology company from France specializing in diagnostic solutions for genetic diseases and cancers, introduced FiberSmart. This AI-powered software allows for the high-resolution visualization and analysis of long DNA fibers. It has the potential to significantly transform the diagnosis and treatment methods for genetic illnesses. Its launch was intended to enhance the accuracy and efficiency of diagnosing and treating genetic diseases. This technology processes vast quantities of data to uncover patterns and insights that humans could not identify independently.
#AI In Genomics Market Industry Leaders: Which Organizations Are Driving Competition?
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 Largest Region By Revenue And Market Share
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.
