Artificial Intelligence (AI) in Omics Studies Market Report 2025

This artificial intelligence (AI) in omics studies market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The artificial intelligence (AI) in omics studies market size has grown exponentially in recent years. It will grow from $0.91 billion in 2024 to $1.23 billion in 2025 at a compound annual growth rate (CAGR) of 35.4%. The growth in the historic period can be attributed to increasing adoption of artificial intelligence, increase in the number of research activities, growing prevalence of chronic diseases, rising healthcare costs, and increasing use in cancer.

The artificial intelligence (AI) in omics studies market size is expected to see exponential growth in the next few years. It will grow to $4.11 billion in 2029 at a compound annual growth rate (CAGR) of 35.2%. The growth in the forecast period can be attributed to increasing the demand for personalized medicine, rising need for assay support, growing genetic and genomic data, increasing investments in genomic research, and rising disposable income. Major trends in the forecast period include advancements in artificial intelligence technologies, advancement of high-throughput technologies, deep learning techniques, automation of data analysis in omics research, and predictive analytics.

The growing demand for personalized medicine is expected to drive the expansion of artificial intelligence in omics studies in the future. Personalized medicine involves customizing medical treatments based on individual patient characteristics, optimizing therapeutic effectiveness, and minimizing adverse effects by accounting for genetic, environmental, and lifestyle factors. The rise in personalized medicine is attributed to advancements in genomic medicine, improved diagnostic tools, and data-driven healthcare approaches. AI in omics studies supports personalized medicine by providing deeper insights into the molecular foundations of diseases, enhancing treatment precision, and ultimately leading to better patient outcomes. For example, the Personalized Medicine Coalition, a US-based professional membership organization, reported that in 2022, 12 new personalized medicines accounted for approximately 34% of all newly approved therapies, marking a notable increase from previous years. Thus, the growing demand for personalized medicine is driving the growth of artificial intelligence in omics studies.

Leading companies in the artificial intelligence in omics studies market are concentrating on developing advanced solutions, such as cloud-based platforms that use data federation to improve data sharing and collaboration among different research institutions. These platforms facilitate the seamless integration and analysis of large-scale omics data from various sources while ensuring data privacy and security. They combine different types of omics data, such as genomics, proteomics, and metabolomics, and employ machine learning algorithms to analyze the data and generate insights. For example, in September 2023, DNAstack, a Canada-based biotechnology company, introduced Omics AI, a groundbreaking software suite designed to accelerate omics research. Omics AI stands out for its capacity to handle large datasets, provide real-time analytics, and enable global researcher collaboration. While this innovation boosts the efficiency of omics studies, it also raises concerns about data privacy and underscores the need for robust cybersecurity measures to safeguard sensitive genetic information.

In September 2023, Renovaro Biosciences Ltd., a US-based biotechnology firm, acquired Gedi Cune Intl Ltd. for an undisclosed amount. This acquisition is part of Renovaro Biosciences' strategy to revolutionize medicine through a focus on advanced regenerative therapies and cutting-edge biotechnological solutions. Gedi Cune Intl Ltd., also based in the US, specializes in providing advanced solutions for managing and analyzing multi-omics data.

Major companies operating in the artificial intelligence 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.

North America was the largest region in the artificial intelligence in omics studies market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in omics studies market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in omics studies market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in omics studies involves applying advanced computational algorithms, such as machine learning and deep learning, to analyze and interpret the extensive and complex datasets produced in various omics fields. AI helps process large volumes of biological data like DNA, RNA, proteins, and metabolites to understand their interactions and impacts on health.

The main offerings of AI in omics studies include software and services. AI software for omics studies consists of computer programs and applications that utilize AI algorithms to analyze large-scale biological data. These technologies encompass platforms such as sequencing, epigenomics, proteomics, and metabolomics. They are used in various applications, including oncology, infectious diseases, neurology, cardiovascular diseases, and immunology. End users of these technologies include academic and research institutions, biopharmaceutical companies, and other organizations.

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

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.

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.

This product will be delivered within 3-5 business days.