Artificial Intelligence (AI) In Omics Studies Market 2025: The Critical Role of Rising Demand For Personalized Medicine Fuels Growth In AI-Powered Omics Studies Driver in Industry Evolution

 

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.

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Which industry factors have accelerated the artificial intelligence (ai) in omics studies market’s expansion?
The increasing demand for personalized medicine is expected to propel the growth of artificial intelligence in 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, October 2022 according to the Personalized Medicine Coalition, a US-based professional membership organization, in 2022, approving 12 new personalized medicines accounted for about 34% of all newly approved therapies, marking a significant increase compared to previous years. Therefore, increasing demand for personalized medicine drives the growth of artificial intelligence in omics studies.

What are the primary segments of the artificial intelligence (ai) in omics studies market?
The artificial intelligence (AI) in omics studies market covered in this report is segmented –
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

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Which firms are leading the artificial intelligence (ai) in omics studies market?
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

Which market trends are set to define the future of the artificial intelligence (ai) in omics studies market?
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.

Which geographic trends are shaping the artificial intelligence (ai) in omics studies market, and which region has the highest market share?
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.

What Does The Artificial Intelligence (AI) In Omics Studies Market Report 2025 Offer?
The artificial intelligence (ai) in omics studies market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.

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.

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