GLOBAL AI IN OMICS STUDIES MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2023 - 2030)

The global AI in omics studies market is expected to see significant growth due to the increasing adoption of artificial intelligence in various omics fields such as genomics, proteomics, and metabolomics. AI tools are being widely used for big data analytics and precision medicine to gain deeper insights into diseases and develop personalized treatment options for patients. The ability of AI to analyze massive omics datasets and identify complex patterns is also propelling its usage in areas like drug discovery and personalized therapeutics.

 Market Dynamics:

The key drivers fueling the global AI in omics studies market include growing investments by pharmaceutical companies in AI for drug discovery, rising demand for precision medicine, and increasing government funding for omics research. Additionally, the growing volumes of omics data being generated and the need to leverage this data effectively are driving the adoption of AI. However, data privacy and security concerns, reluctance to adopt new technologies, and a lack of a skilled AI workforce are some of the factors hindering market growth. Meanwhile, the emergence of cloud-based omics data analytics platforms and the expansion of the startup ecosystem in the AI and healthcare spaces are expected to create significant growth opportunities for market players.

Moreover, with the advent of next-generation sequencing and advancements in quantitative proteomics and metabolomics technologies, omics studies have been revolutionized in recent years. These high-throughput technologies have enabled the generation of massive amounts of multi-omics data at an unprecedented scale and speed. Technologies like whole genome and whole exome sequencing are increasingly used not just for research purposes but also in clinical settings for diagnostics and prognostics. Technologies such as Ribonucleic acid sequencing have enabled the profiling of transcriptomes at the single-cell level, providing details into specific cell types, disease conditions, etc. Proteomics technologies like SWATH-MS have improved protein coverage and quantitation capabilities. Metabolomics technologies are now capable of identifying and quantifying several metabolites simultaneously from biological samples. These advancing quantitative omics technologies are facilitating multi-omics integration studies and providing deeper insights into biological systems. The availability of such large-scale, quantitative, and integrated omics datasets is expected to drive significant discovery and insights into disease mechanisms, biomarkers, and therapeutic targets in the coming years. This will further fuel the growth in omics based research and applications across various disease areas.

Key features of the study:

• This report provides in-depth analysis of the global AI in omics studies market, and provides market size (US$ Mn) and compound annual growth rate (CAGR %) for the forecast period (2023–2030), considering 2022 as the base year
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends,  regional outlook, and competitive strategies adopted by key players
• It profiles key players in the global AI in omics studies market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies
• Key companies covered as a part of this study include Thermo Fisher Scientific, Agilent Technologies, Illumina, BGI Genomics, Dassault Systèmes, Qiagen, Waters Corporation, GE Healthcare, Amazon Web Services, Inc., Bruker, and Danaher
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
• Global AI in omics studies market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global AI in omics studies market

Detailed Segmentation:

• Global AI in Omics Studies Market, By Offering
  • Software
  • Services
• Global AI in Omics Studies Market, By Technology Platform
  • Sequencing
  • Epigenomics
  • Proteomics
  • Metabolomics
  • Others (Transcriptomics, among others)
• Global AI in Omics Studies Market, By Application
  • Oncology
  • Infectious Diseases
  • Neurology
  • Cardiovascular Diseases
  • Immunology
  • Others (Pharmacogenomics, among others)
• Global AI in Omics Studies Market, By End User
  • Academic and Research Institutes
  • Biopharmaceutical Company
  • Others (Contract Research Organizations, among others)
• Global AI in Omics Studies Market, By Region
  • North America
  • Latin America
  • Europe
  • Asia Pacific
  • Middle East &Africa
• Top Companies in the Global AI in omics studies Market:
  • Thermo Fisher Scientific.
  • Agilent Technologies
  • Illumina
  • BGI Genomics
  • Dassault Systèmes
  • Qiagen
  • Waters Corporation
  • GE Healthcare
  • Amazon Web Services, Inc
  • Bruker
  • Danaher