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GLOBAL OPTICAL GENOME MAPPING MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2023-2030)

Global Optical Genome Mapping Market, By Product (Instruments, Consumables and Reagents, Software, Services), By Application (Structural Variant Detection, Genome Assembly, Microbial Strain Typing, Others), By End User (Biotechnology and Pharmaceutical Companies, Clinical Laboratories, Academic research institutes , Others), By Geography (North America, Europe, Asia Pacific, Latin America, Middle East and Africa)

  • Published In : Jan 2024
  • Code : CMI6583
  • Pages :162
  • Formats :
      Excel and PDF
  • Industry : Biotechnology

Global Optical Genome Mapping Market Size and Trends

The global optical genome mapping market size is expected to reach US$ 418.4 Mn by 2030, from US$ 109.9 Mn in 2023, exhibiting a compound annual growth rate (CAGR) of 21% during the forecast period.

Global Optical Genome Mapping Market- Trends

  • Advancements in sequencing technologies: Advancements in sequencing technologies have greatly influenced the global optical genome mapping market in recent years. Next generation sequencing technologies have significantly brought down the cost of decoding the entire genome. While whole genome sequencing provides nucleotide-level resolution, it does not reliably capture large structural variants which plays an important role in genetic disorders and complex diseases. Optical genome mapping helps address this limitation as it can rapidly analyze entire genomes to detect large structural changes like insertions, deletions, inversions, and translocations at a relatively lower resolution compared to sequencing.
  • Adoption of cloud-based analysis solutions: The adoption of cloud-based analysis solutions is having a significant impact on the global optical genome mapping market. As researchers and healthcare organizations now have the ability to easily access advanced genome mapping and analysis technologies via the cloud without having to make large upfront investments in infrastructure and hardware. This has increased the accessibility of optical genome mapping solutions and driven more organizations, especially smaller labs and research facilities, to utilize these technologies for their work. Cloud-based platforms are allowing for faster, more collaborative analysis of large genomic datasets through their powerful computing capabilities and ability to handle large storage needs.

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