Press release
Global Artificial Intelligence (AI) In Omics Studies Market Projected to Surpass $4.11 Billion by 2029 with 35.2% Annual Growth
Artificial Intelligence AI In Omics Studies Market Share
The escalating need for tailor-made healthcare is predicted to stimulate the expansion of the artificial intelligence in omics studies market. Tailor-made healthcare signifies modifying medical care to fit the unique needs of each patient, maximizing treatment efficacy and minimizing the risk of negative reactions by taking into account the patient's genetics, environment, and lifestyle. Advances in genomic medicine, enhancements in diagnostic technology, and a data-oriented approach to healthcare have all contributed to the growing use of personalized medicine. AI in omics studies augments personalized medicine by providing deeper understanding of the molecular aspects of diseases, enhancing the accuracy of treatments, and ultimately improving patient outcomes. For example, in October 2022, as reported by the Personalized Medicine Coalition, a professional membership organization based in the US, the approval of 12 new tailor-made medicines constituted about 34% of all new therapies approved in 2022, demonstrating a significant growth compared to previous years. Thus, the rising demand for tailored healthcare is stimulating the expansion of the artificial intelligence in omics studies market.
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What is the projected compound annual growth rate (CAGR) of the artificial intelligence (ai) in omics studies market from 2025 to 2034, and what factors influence it?
The market size for artificial intelligence (AI) in omics studies has seen an exponential growth recently. The market, which was worth $0.91 billion in 2024, is projected to increase to $1.23 billion in 2025, reflecting a compound annual growth rate (CAGR) of 35.4%. This significant growth during the historic phase could be due to the escalating use of artificial intelligence, the increasing number of research initiatives, the growth in chronic disease cases, rising costs in healthcare, and the amplifying use in cancer treatment and diagnosis.
In the coming years, the market size for artificial intelligence (AI) in omics studies is projected to experience significant expansion. It's expected to reach $4.11 billion by 2029, with a compound annual growth rate (CAGR) of 35.2%. The predicted growth during this period can be associated with the escalating demand for customized medicine, the increased need for assay assistance, the surge in genetic and genomic data, heightened investments in genomic studies, and an upscale in disposable income. Prominent trends projected for this period are enhancements in AI technology, development of high-throughput systems, deep learning methods, automation in omics research data analysis, and predictive analytics.
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How are the latest trends influencing the growth of the artificial intelligence (ai) in omics studies market?
Key players in the omics studies market, which incorporates artificial intelligence, are actively getting involved in the creation of advanced solutions such as data federation-based cloud platforms. These platforms are designed to improve the sharing and collaboration of data across multiple research institutions, while also ensuring data privacy and security. The cloud-based platforms can process and integrate different types of omics data-genomics, proteomics, metabolomics-and use machine learning algorithms to analyse the data, giving rise to valuable insights. For instance, Omics AI, a groundbreaking software suite geared towards expediting omics research, was launched by DNAstack, a Canada-based biotech firm, in September 2023. The unique abilities of Omics AI include handling large datasets, providing real-time analytics, and facilitating worldwide collaboration among researchers. This innovation boosts the effectiveness of omics studies, but does bring up issues related to data privacy and the necessity for strong cybersecurity measures to defend sensitive genetic data.
What are the major segments of the artificial intelligence (ai) in omics studies market and their role in driving growth?
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 regions are key players in the growth of the artificial intelligence (ai) in omics studies market?
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.
Who are the key firms paving the way for growth in 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
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What Is Covered In The Artificial Intelligence (AI) In Omics Studies Global Market Report?
•Market Size Forecast: Examine the artificial intelligence (ai) in omics studies market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in omics studies market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) in omics studies market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in omics studies market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in omics studies market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in omics studies market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in omics studies market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in omics studies market, including expansions, agreements, and new product launches.
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