PUBLISHER: Grand View Research | PRODUCT CODE: 1446496
PUBLISHER: Grand View Research | PRODUCT CODE: 1446496
The global spatial OMICS market size is expected to reach USD 714.8 million by 2030, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 10.21% from 2024 to 2030. The COVID-19 pandemic slowed down many industries worldwide. However, this market did not face the extensive negative impact of the pandemic.
Startups and well-established players continued their product development and launched novel solutions, democratized their offerings beyond innovators, and engaged in mergers & acquisitions. The spatial OMICS field originated from hyperplexed imaging; however, key players have shifted toward the development of spatial transcriptomics solutions and products.
Rapid advances in the sequencing of tissues, genes, and single cells have resulted in the emergence of spatial genomic sequencing. Spatial OMICS techniques offer quantitative gene expression data and visualization of DNA and RNA mapping within tissue sections. The development of novel technologies for spatial OMICS is anticipated to create lucrative opportunities for the fields of translational research as well as diagnostics.
The spatial genomics technology segment is expected to expand at the fastest CAGR throughout the forecast period owing to a rise in the launch of novel platforms. The integration of high-throughput solutions in transcriptomics, genomics, and proteomics studies has enabled determining the link between disease occurrence and genome position.
The instruments product held the second-largest share in 2020 owing to the launch of new automated solutions for spatial OMIC studies. For instance, in March 2021, Rebus Biosystems launched the new Rebus Esper spatial omics platform for a better understanding of tissue biology. The new integrated and automated instrument delivers quantitative single-cell, single-molecule data with subcellular resolution and spatial context by using advanced fluidics, imaging, chemistry, and bioinformatics solutions.
The fresh frozen sample type is expected to witness significant growth over the forecast period. The advantages of fresh frozen samples in proteomics are validated by several research studies. For instance, in March 2021, a study concluded that Filter Aided Sample Preparation (FASP) technique yielded 20% more protein identifications by using fresh frozen samples than formalin-fixed, paraffin-embedded (FFPE) samples.
North America held the largest share in 2020 owing to an increase in focus on translational research, rise in government support for genomics and sequencing technologies, high demand for personalized medicine, and the presence of a substantial number of translational and academic research organizations.