by The spatial omics market is estimated to be valued at US$ 292.1 Mn in 2023 and is expected to exhibit a CAGR of 9.4% over the forecast period 2023-2030, as highlighted in a new report published by Coherent Market Insights.
Market Overview:
Spatial omics involves technologies used for mapping biomolecules such as DNA, RNA and proteins within tissues and cells at a high resolution to understand cell organization and interactions. It enables measurement of multiple biological molecules from the same sample location, providing a more comprehensive view of biology compared to traditional single-cell approaches. Spatial omics assays have applications across various research areas including oncology, immunology and neuroscience for early disease diagnosis, prognosis biomarker discovery and drug development.
Market Dynamics:
The growth of the spatial omics market is driven by technological advancements in spatial technologies such as spatial transcriptomics and mass spectrometry imaging. For instance, companies are developing high-throughput and automated platforms for spatial omics to analyze large sample cohorts efficiently. Additionally, adoption of spatial omics solutions is increasing in diagnostic and pharmaceutical companies for drug target discovery and validation studies. Moreover, rising R&D investments by academic institutes and biopharmaceutical companies to develop spatial omics based assays for precision medicine is expected to propel the market growth over the forecast period.
SWOT Analysis
Strength: Spatial omics technology helps provide insights on molecular changes at a tissue, cellular and subcellular level in three dimensions. This comprehensive understanding of biology improves diagnostics and drug development. Rapid adoption of spatial omics by biopharma and diagnostics companies indicates the strong scientific validation and commercial potential of the technology.
Weakness: Spatial omics technology requires large initial investments in instruments and infrastructure setup. Sample preparation and data analysis also require specialized skills that are currently limited. High costs make routine clinical applications challenging currently.
Opportunity: Growing stem cell and cancer research provides opportunities to apply spatial omics to understand disease pathology at an unprecedented resolution. Technological advances are also making the workflow simpler and reducing costs, aiding clinical translation. Emerging economies in Asia with large healthcare budgets present new markets.
Threats: Intense competition exists from established IVD majors and new entrants trying to develop simpler and affordable spatially resolved analysis tools. Regulatory uncertainties around clinical validation and reimbursements could slow commercialization.
Key Takeaways
Global Spatial Omics Market Demand is expected to witness high growth, exhibiting CAGR of 9.4% over the forecast period, due to increasing demand for spatially resolved molecular characterization techniques from biopharma and diagnostic companies. The growing role of precision medicine in oncology and neurology is driving adoption of spatial omics.
In 2023, North America is estimated to account for over 35% share of the global spatial omics market due to presence of key industry players and availability of funding for spatial biology research. Asia Pacific is anticipated to grow at the fastest pace during the forecast period supported by increasing healthcare investments and capabilities in countries like China, India and South Korea.
Key players operating in the spatial omics market are 10x Genomics, Akoya Bioscience Inc., Biognosys AG, BioSpyder Technologies, Bio-Techne, Bruker, Brooks Automation Inc., Danaher Corporation, and Diagenode. These companies offer instrument platforms, consumables and bioinformatics tools for applications spanning immunohistochemistry, in situ sequencing and proteomics. They are focusing on enhancing platform capabilities to penetrate clinical and translational research markets.
*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
