Spatial genomics is an emerging field of genomics that involves the sequencing of DNA or RNA from particular geographical locations in the tissue sample. Spatial genomics transcriptomics uses fluorescentlabelling and combining massively parallel DNA/RNA sequencing to capture gene expression information from intact single-cell tissue samples without need for prior dissociation. It allows for precise location mapping of thousands of individual cells based on their transcriptomic profiles within their original spatial context and tissue architecture. Common applications of spatial genomics transcriptomics include cancer diagnostic, neuroscience research, and developmental biology and immunology studies.
The global spatial genomics transcriptomics market is estimated to be valued at US$ 150 million in 2023 and is expected to exhibit a CAGR of 13% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.
The surging importance of location specific gene expression analysis is a key driver boosting the growth of the spatial genomics transcriptomics market. Spatial genomics transcriptomics helps determine how gene expression varies between different cell types or across anatomical structures in tissues which plays a crucial role in maintaining healthy tissue physiology and dysregulation of such localized gene expression can lead to various disease pathogenesis including cancer. This has increased the adoption of spatial genomics techniques by pharmaceutical and biotechnology companies for drug target identification, preclinical research and development. Moreover, advancements in spatial genomics platforms such as launch of new commercial kits with improved capabilities for simultaneous profiling of thousands of genes from intact tissue samples without need for prior dissociation at single cell resolution are further fueling the market growth.
The global spatial genomics transcriptomics market is dominated by the transcriptomic analysis sub-segment owing to its wide applications across research areas including oncology, immunology, and neuroscience among others. Transcriptomic analysis allows simultaneous spatial mapping and expression profiling of thousands of RNA transcripts, enabling researchers to understand complex relationships between spatial organization and gene expression in tissues. It helps in identifying cell types and states, detecting biomarkers, and exploring disease heterogeneity at an unprecedented resolution.
Political: Governments across major countries are increasingly funding initiatives focused on genomics research due to growing burden of diseases like cancer. For instance, the US government allocated USD 2.6 billion budget for Cancer Moonshot program in 2016 to accelerate cancer research including spatial profiling.
Economic: Declining cost of sequencing technologies is boosting the adoption of spatial genomics approaches. Transcriptomic platforms offer a cost-effective method for spatially resolved gene expression analysis compared to older techniques.
Social: Increasing awareness about precision medicine and personalized healthcare is driving demand for spatial profiling to better understand disease at a localized level. Technologies help discover cell-type specific biomarkers and new drug targets.
Technological: Advanced microscopy and sequencing techniques are enabling high-throughput spatial profiling at single-cell resolution. Integration of microscopy, sequencing and digital pathology is allowing comprehensive characterization of tissue microenvironments. Continuous technological innovations are expected to make spatial analysis more efficient and affordable.
The global spatial genomics transcriptomics market is expected to witness high growth over the forecast period owing to increasing R&D investments in precision medicines. The global spatial genomics transcriptomics market is estimated to be valued at US$ 150 million in 2023 and is expected to exhibit a CAGR of 13% over the forecast period 2023 to 2030.
North America currently dominates the market due to presence of major industry players and availability of advanced healthcare infrastructure to support high-throughput research activities. The US and Canada are major revenue generators in the region. Asia Pacific is slated to be the fastest growing regional market owing to rising healthcare expenditures, growing genomics research in countries like China and India, and increasing outsourcing of clinical trials to these countries.
Key players related content comprises: Key players operating in the spatial genomics transcriptomics market are 10x Genomics, NanoString Technologies, Illumina, Fluidigm Corporation, Seven Bridges Genomics and Advanced Cell Diagnostics. 10x Genomics is a leading player with its popular Chromium platform that enables high-throughput spatial gene expression analysis.
- Source: Coherent Market Insights, Public sources, Desk research
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