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GLOBAL MULTIOMICS MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Global Multiomics Market, By Product & Service (Products, Services), By Type (Single-cell Multiomics, Bulk Multiomics), By Platform (Genomics, Transcriptomics, Proteomics, Metabolomics, Integrated Omics Platforms), By Application (Diagnostics, Drug Discovery and Development, Personalized Medicine, AgriGenomics, Others), By End User (Pharmaceutical and Biotechnology Companies, Academic and Research Institutes, Clinical Research Organizations, Others), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)

  • Published In : Feb 2024
  • Code : CMI6633
  • Pages :172
  • Formats :
      Excel and PDF
  • Industry : Biotechnology

Global Multiomics Market Size and Trends

The global multiomics market was valued at US$ 2.46 Bn in 2023 and is expected to reach US$ 7.65 Bn by 2031, growing at a compound annual growth rate (CAGR) of 15.2% from 2024 to 2031.

 Figure 1. Global Multiomics Market Share (%), By Region, 2023

Global Multiomics Market- Trends

  • Adoption of spatially resolved multiomics analysis: The adoption of spatially resolved multiomics analysis techniques is having a significant influence on the emerging multiomics market. Spatially resolved analysis allows researchers to study biological samples with single-cell or spatial resolution, revealing insights that were previously impossible to see with bulk tissue analysis. This cutting-edge approach provides a more detailed understanding of complex biological systems by capturing information about how different omics factors interact and change across spatial dimensions within a tissue sample.
  • Launch of new commercial multiomics platforms with enhanced capabilities: The launch of new commercial multiomics platforms with enhanced capabilities is significantly influencing the multiomics market growth. These new platforms are allowing researchers to gain richer insights through integrated analysis of different levels of biological data. By combining various omics datasets such as genomics, transcriptomics, proteomics, and metabolomics from a single sample, they provide a more comprehensive understanding of biological systems and pathways. For example, companies are introducing platforms that can perform multiomics analysis at an unprecedented scale and depth. Instruments from companies, such as Illumina, now support the analysis of millions of cells simultaneously at single-cell resolution. This allows researchers to detect even rare cell types and changes in cellular states. Similarly, other platforms effectively combine multi-omics analysis with spatial profiling techniques using microscopy.

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