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AI In Genomics Market Value Analysis: What Growth Lies Ahead Over The Forecast Period?
The AI in genomics market has experienced significant expansion in recent years. This market is projected to increase from $1.51 billion in 2025 to $2.18 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 44.6%. Historically, this growth has been driven by several key factors, including the rising availability of extensive genomic datasets, the decreasing costs associated with DNA sequencing technologies, the expansion of genomics research programs, increasing collaboration between AI developers and biotech firms, and advancements in computational biology capabilities.
The AI in genomics market is poised for significant expansion in the foreseeable future. It is forecast to attain a size of $9.32 billion by 2030, growing at a robust compound annual growth rate (CAGR) of 43.7%. This anticipated growth during the forecast period is propelled by factors such as the increasing adoption of precision medicine approaches, rising investments in AI-powered drug discovery, the broadening scope of population genomics projects, a growing demand for personalized healthcare solutions, and advancements in deep learning genomic models. Prominent trends for the forecast period include the expanding uptake of AI-driven genome analysis platforms, the escalating use of machine learning for variant detection, the deepening integration of AI into gene editing workflows, the growth of cloud-based genomic data processing, and an intensified focus on high-accuracy pattern recognition.
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AI In Genomics Market Growth Drivers: What’s Behind The Acceleration?
The expanding application of personalized medicine methodologies is anticipated to fuel the expansion of AI in the genomics market moving ahead. Personalized medicine, also known as precision medicine, constitutes an innovative strategy in medical treatment and healthcare, factoring in individual variations in patients’ genes, environments, and lifestyles. The increasing embrace of personalized medicine is driven by the rising prevalence of chronic and complex diseases, as these approaches enable treatments to be customized for individual patient profiles, thereby enhancing effectiveness and reducing adverse effects. AI in genomics expedites the analysis of intricate genetic data, thus facilitating personalized medicine by tailoring treatments and interventions to an individual’s distinct genetic profile. For instance, in February 2024, the Personalized Medicine Coalition, a US-based hospital and healthcare organization, reported that in 2023, the FDA approved 16 new personalized treatments for rare disease patients, marking an increase from 6 in 2022. Consequently, the growing utilization of personalized medicine approaches is a key driver for the AI in the genomics market.
AI In Genomics Market Segment Analysis Spotlighting Growth Areas
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’s Defining The Industry’s Next Phase?
Leading companies in the AI in genomics sector are concentrating on creating advanced solutions, particularly drug discovery platforms, to improve both precise healthcare and research productivity. A drug discovery platform is a technological or software system that utilizes computational tools, artificial intelligence, or laboratory automation to efficiently identify, design, and optimize new drug candidates. For example, in March 2023, Genomic Vision, a France-based biotechnology company 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 possesses the potential to fundamentally transform the diagnosis and treatment of genetic illnesses. Its launch aimed to enhance the precision and effectiveness of diagnosing and treating genetic diseases. This technology analyzes vast quantities of data to reveal patterns and insights that would be impossible for humans to discover independently.
AI In Genomics Market Leading Companies: Who Holds The Strongest Market Presence?
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: Which Geography Holds The Biggest 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.
