Single-cell genomics is the study of the individuality of cells using omics approaches.
Scope of the Report:
North America is the dominating region in the single cell genomics market owing to the advancing biopharmaceutical and biotechnology and genomics field.
The global Single Cell Genomics market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Single Cell Genomics.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
This report studies the Single Cell Genomics market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Single Cell Genomics market by product type and applications/end industries.
Market Segment by Companies, this report covers
- 10X Genomics
- Accelerate Diagnostics
- Agilent Technologies
- Celsee Diagnostics
- Denovo Sciences
- DNA Electronics
- Enumeral Biomedical
- Epic Sciences
- Resolution Bioscience
- Thermo Fisher Scientific
- Wafergen Bio-Systems
- Yikon Genomics
- Zephyrus Biosciences
Market Segment by Regions, regional analysis covers:
- North America (United States, Canada and Mexico)
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Colombia)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers:
- Cell Isolation
- Sample Preparation
- Genomic Analysis
Market Segment by Applications, can be divided into:
- Genomic Variation
- Subpopulation Characterization
- Circulating Tumor Cells
- Cell Differentiation
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