Artificial Intelligence (AI) In Omics Studies Market Report 2026

Artificial Intelligence (AI) In Omics Studies Market Overview

• Artificial Intelligence (AI) In Omics Studies market size has reached to $1.23 billion in 2025 • Expected to grow to $5.55 billion in 2030 at a compound annual growth rate (CAGR) of 35% • Growth Driver: Rising Demand For Personalized Medicine Fuels Growth In AI-Powered Omics Studies • Market Trend: Advancing Omics Research With AI-Driven Cloud Platforms And Data Federation Revolutionizing Data Sharing, Collaboration, And Insights • North America was the largest region in 2025 and Europe is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI) In Omics Studies Market?

Artificial intelligence (AI) in omics studies refers to applying advanced computational algorithms, particularly machine learning and deep learning techniques, to analyze and interpret vast and complex datasets generated in various omics fields. Artificial intelligence (AI) in omics studies is used to analyze large amounts of biological data, such as DNA, RNA, proteins, and metabolites, to understand how they interact and affect health. The main offerings of artificial intelligence in omics studies are software, and services. Artificial intelligence (AI) software in omics studies refers to computer programs and applications that use artificial intelligence algorithms to analyze large-scale biological data. The various technology platforms include sequencing, epigenomics, proteomics, metabolomics, and others. These are used in various applications such as oncology, infectious diseases, neurology, cardiovascular diseases, immunology, and others, and also by various end-users such as academic and research institutes, biopharmaceutical companies, and others.

What Is The Artificial Intelligence (AI) In Omics Studies Market Growth Forecast?

The artificial intelligence (AI) in omics studies market size is expected to see exponential growth in the next few years. It will grow to $5.55 billion in 2030 at a compound annual growth rate (CAGR) of 35.0%. The growth in the forecast period can be attributed to increasing demand for precision medicine, advancements in deep learning algorithms, rising adoption of AI in drug discovery, expansion of cloud-based omics platforms, growing focus on personalized healthcare. Major trends in the forecast period include AI-powered multi-omics data integration, machine learning-based genomic interpretation, AI-driven protein structure prediction, automated omics data analytics platforms, predictive biomarker discovery.

Global Artificial Intelligence (AI) In Omics Studies Market Segmentation

1) By Offering: Software, Services 2) By Technology Platform: Sequencing, Epigenomics, Proteomics, Metabolomics, Other Technologies 3) By Application: Oncology, Infectious Diseases, Neurology, Cardiovascular Diseases, Immunology, Other Applications 4) By End-User: Academic And Research Institutes, Biopharmaceutical Company, Other End-Users Subsegments: 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 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

What Is The Driver Of The Artificial Intelligence (AI) In Omics Studies Market?

The increasing demand for personalized medicine is expected to propel the growth of artificial intelligence in the omics studies market going forward. Personalized medicine refers to tailoring medical treatment to the individual characteristics of each patient. It optimizes therapeutic efficacy and minimizes adverse effects by considering genetic, environmental, and lifestyle factors. The increasing use of personalized medicine is due to advancements in genomic medicine, improved diagnostic tools, and data-driven healthcare approaches. AI in omics studies enhances personalized medicine by enabling more profound insights into the molecular basis of diseases, improving the precision of treatments, and ultimately leading to better patient outcomes. For instance, in February 2024, according to the Personalized Medicine Coalition, a US-based non-profit organization, reported that the FDA approved 16 new personalized treatments for rare disease patients in 2023, marking a notable rise compared to the 6 approvals in 2022. Therefore, increasing demand for personalized medicine drives the growth of artificial intelligence in omics studies.

Key Players In The Global Artificial Intelligence (AI) In Omics Studies Market

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

Global Artificial Intelligence (AI) In Omics Studies Market Trends and Insights

Major companies operating in the artificial intelligence in omics studies market are focused on developing advanced solutions, such as cloud-based platforms using the paradigm of data federation to enhance data sharing and collaboration across different research institutions, allowing for seamless integration and analysis of large-scale omics data from multiple sources while maintaining data privacy and security. Cloud-based platforms integrate various omics data types, such as genomics, proteomics, and metabolomics, and utilize machine learning algorithms to analyze the data and generate insights. For instance, in September 2023, DNAstack, a Canada-based biotechnology company, launched Omics AI, a revolutionary software suite designed to accelerate omics research. The unique features of Omics AI include its ability to handle large datasets, provide real-time analytics, and enable collaboration among researchers globally. This innovation enhances the efficiency of omics studies, although it raises concerns about data privacy and the need for robust cybersecurity measures to protect sensitive genetic information.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) In Omics Studies Market?

In September 2023, Renovaro Biosciences Ltd., a US-based biotechnology company, acquired Gedi Cune Intl Ltd. for an undisclosed amount. With this acquisition, Renovaro Biosciences aims to transform the landscape of medicine by focusing on advanced regenerative therapies and innovative biotechnological solutions. Gedi Cune Intl Ltd. is a US-based company that offers advanced solutions for managing and analyzing multi-omics data.

Regional Insights

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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Artificial Intelligence (AI) In Omics Studies Market?

The artificial intelligence in omics studies market consists of revenues earned by entities by providing data integration services, predictive modeling, gene and protein expression analysis, and image analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in omics studies market also includes sales of machine learning platforms, deep learning frameworks, bioinformatics software, data visualization tools, and robotics and automation tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) In Omics Studies Market Report 2026?

The artificial intelligence (ai) in omics studies market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in omics studies industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.