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#Artificial Intelligence (AI) In Omics Studies Market Revenue Outlook: What CAGR Lies Ahead Through 2030?#_x000D_
The artificial intelligence (AI) in omics studies market has experienced substantial expansion in recent years. Its expansion is projected to take it from $1.23 billion in 2025 to $1.67 billion in 2026, achieving a compound annual growth rate (CAGR) of 35.4%. The historical development can be attributed to several factors, including the progression of next generation sequencing technologies, the broadening of bioinformatics tools, the increasing accessibility of biological big data, the initial adoption of machine learning in genomics, and a rise in investment within life science research._x000D_
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The artificial intelligence (AI) in omics studies market size is projected to experience significant expansion in the coming years. It is anticipated to reach $5.55 billion by 2030, achieving a compound annual growth rate (CAGR) of 35.0%. This growth during the forecast period is primarily driven by factors such as the increasing demand for precision medicine, advancements in deep learning algorithms, the rising adoption of AI in drug discovery, the expansion of cloud-based omics platforms, and a growing focus on personalized healthcare. Furthermore, prominent trends expected in this forecast period include AI-powered multi-omics data integration, machine learning-based genomic interpretation, AI-driven protein structure prediction, automated omics data analytics platforms, and predictive biomarker discovery._x000D_
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#Artificial Intelligence (AI) In Omics Studies Market Growth Catalysts And Demand Drivers#_x000D_
The rising need for individualized healthcare approaches is projected to fuel the expansion of artificial intelligence in the omics studies market in the future. Personalized medicine involves customizing medical care to suit the unique attributes of every patient. This approach enhances treatment effectiveness and reduces negative side effects by taking into account genetic, environmental, and lifestyle aspects. The growing adoption of personalized medicine stems from progress in genomic medicine, enhanced diagnostic instruments, and healthcare strategies guided by data. Artificial intelligence within omics studies boosts personalized medicine by allowing deeper understanding of diseases’ molecular foundations, refining treatment accuracy, and ultimately resulting in superior patient results. For example, in February 2024, the Personalized Medicine Coalition, a US-based non-profit organization, stated that the FDA granted approval to 16 new personalized treatments for rare disease patients in 2023, indicating a significant increase from the 6 approvals in 2022. Consequently, the heightened demand for personalized medicine is a key impetus for the expansion of artificial intelligence in omics studies._x000D_
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#Artificial Intelligence (AI) In Omics Studies Market Segment Landscape And Growth Outlook#_x000D_
The artificial intelligence (AI) in omics studies market covered in this report is segmented – _x000D_
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1) By Offering: Software, Services_x000D_
2) By Technology Platform: Sequencing, Epigenomics, Proteomics, Metabolomics, Other Technologies_x000D_
3) By Application: Oncology, Infectious Diseases, Neurology, Cardiovascular Diseases, Immunology, Other Applications_x000D_
4) By End-User: Academic And Research Institutes, Biopharmaceutical Company, Other End-Users_x000D_
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Subsegments:_x000D_
1) By Software: AI-Powered Data Analytics Software, Omics Data Integration Software, Machine Learning Platforms for Genomics, AI-Based Protein Structure Prediction Software, AI-Based Drug Discovery Software, AI for Metabolomics Analysis Tools, AI-Driven Genome Sequencing Software, Bioinformatics Software for Multi-Omics Data _x000D_
2) By Services: AI-Based Data Analysis Services, Consulting Services for AI in Omics, AI Model Development and Customization Services, Omics Data Management and Interpretation Services, AI-Driven Drug Discovery and Development Services, Cloud-Based Omics Data Storage and Processing Services, AI-Based Omics Training and Support Services_x000D_
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#Artificial Intelligence (AI) In Omics Studies Market Trends Shaping Long-Term Demand#_x000D_
Leading companies within the artificial intelligence in omics studies market are dedicated to developing advanced solutions, such as cloud-based platforms that employ data federation principles to enhance data sharing and collaboration across various research institutions. These platforms allow for the effortless integration and analysis of extensive omics data from multiple sources, all while upholding data privacy and security. Such cloud-based systems integrate diverse omics data types, including genomics, proteomics, and metabolomics, and leverage machine learning algorithms to analyze this data and generate critical insights. For example, in September 2023, DNAstack, a Canada-based biotechnology company, unveiled Omics AI, an innovative software suite specifically created to accelerate omics research. The distinctive attributes of Omics AI include its capability to manage large datasets, offer real-time analytics, and facilitate global cooperation among researchers. This innovation significantly improves the efficiency of omics studies, although it also highlights concerns regarding data privacy and the imperative for robust cybersecurity measures to protect sensitive genetic information._x000D_
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#Artificial Intelligence (AI) In Omics Studies Market Competitive Landscape: Who Leads The Industry?#_x000D_
Major companies operating in the artificial intelligence (AI) in omics studies market are Amazon.com Inc. , Hitachi Ltd., Thermo Fisher Scientific Inc., Danaher Corporation, Siemens Healthineers AG, General Electric Company, Agilent Technologies Inc., Koninklijke Philips N.V., Dassault Systemes SA, Illumina Inc., Fujifilm Holdings Corporation, Shimadzu Corporation, Waters Corporation, Bio-Rad Laboratories Inc., Canon Medical Systems Corporation, Bruker Corporation, Qiagen N.V., BGI Genomics Co Ltd., Takara Bio Inc., Elekta AB _x000D_
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#Artificial Intelligence (AI) In Omics Studies Market Largest Region: Which Geography Holds The Biggest Share?#_x000D_
North America was the largest region in the artificial intelligence in omics studies market in 2025. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in omics studies market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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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.
