February 29, 2024

The growing Spatial Genomics Transcriptomics Market driven by advancements in genomics technology

Spatial genomics and transcriptomics allow researchers to identify gene expression patterns of cells and tissues at high resolution. Spatial genomics techniques map the genomic landscape at a cellular level, enabling researchers to understand location-specific molecular interactions within a tissue sample. This has wide applications in drug discovery, disease diagnosis and developing precision therapies. Technologies for spatial genomics involve molecular mapping techniques like in situ sequencing, imaging mass spectrometry and spatial transcriptomics which provide snapshot of genome activity across intact biological samples. Spatial transcriptomics specifically enables mapping of where RNA is expressed within intact tissues at single-cell resolution without the need for prior cell dissociation.

The global Spatial Genomics Transcriptomics Market is estimated to be valued at US$ 850 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.

Market key trends:
Technological advancements in spatial genomics and transcriptomics techniques are expected to drive the market growth over the forecast period. Researchers are developing new protocols that enable whole-transcriptome profiling with better resolution and throughput. For instance, Seq-Scope technology developed by 10x Genomics allows mapping of transcription within intact tissues at single-cell and single-molecule resolution at an industrial scale. Moreover, integration of spatial genomics tools with artificial intelligence and machine learning algorithms is gaining popularity as it helps identify more informative spatial features from complex genomic datasets. This spatial ‘omics’ driven by data science has potential applications in developing precision medicine approaches for cancer and other complex diseases.

Porter’s Analysis

Threat of new entrants: The spatial genomics and transcriptomics market requires huge R&D investments and stringent regulatory approvals. This poses high entry barriers for new players.

Bargaining power of buyers: The presence of several global players provides buyers with high bargaining power and more choices. Customers can negotiate on price and demand value-added services.

Bargaining power of suppliers: A few global players dominate the supply market. This gives suppliers significant influence over pricing and supply of key reagents, instruments and software solutions.

Threat of new substitutes: There exists no close substitute for spatial genomics and transcriptomics currently. Advancements in integrated systems serve as alternatives.

Competitive rivalry: The market sees intense competition among global leaders expanding their product portfolios and geographical reach through collaborations. Pricing pressures and launch of innovative technologies fuels competition.

Key Takeaways

The global spatial genomics transcriptomics market is expected to witness high growth. The global Spatial Genomics Transcriptomics Market is estimated to be valued at US$ 850 million in 2023 and is expected to exhibit a CAGR of 13% over the forecast period 2023 to 2030.

The North American region currently dominates due to extensive R&D activities and availability of public and private funding. Growing biopharma industry and research in the US and Canada is a major factor. The Asia Pacific region is poised to grow at the fastest pace during the forecast period. This can be attributed to rising research budgets, availability of skilled workforce and increasing government initiatives in countries such as China, India and Japan.

Key players operating in the spatial genomics transcriptomics market are 10x Genomics, NanoString Technologies, S2 Genomics, Dovetail Genomics, Seven Bridges Genomics. These leaders are focusing on new product launches and strategic acquisitions to strengthen their global presence.


  1. Source: Coherent Market Insights, Public sources, Desk research

2. We have leveraged AI tools to mine information and compile it