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Single Cell Genomics Market Assessment

  • Author: Miguel Edwards
  • Date: May, 2017
  • Pages: 117 pages
  • Price: $ 5,500

Abstract

Single cell genomics (SCG) is a fast growing, emerging approach in which genomic technologies (i.e., that assess nucleic acids such as DNA or RNA) are applied at the level of single cells, rather than at the level of an entire cell population.The third edition of this report reviews the market size, segmentation, growth and trends of the SCG market. We assess the SCG market across 7 segments and 33 subsegments: customer (e.g., academia, biopharma, applied markets, clinical), workflow step (e.g., cell isolation, sample preparation, genomic analysis), analytical technology (e.g., PCR, qPCR, microarray, next-generation-sequencing, other), field-of-study (e.g., oncology, basic cell biology, stem cell biology, microbiology, neurology, immunology, other), application (e.g., genomic variation, subpopulation characterization, circulating tumor cells, cell differentiation / reprograming, method, other), product type (e.g., instruments, reagents) and geography (e.g., U.S., Europe, Japan, China, Asia-Pacific, ROW). For each of these segments, we provide an estimated market size and growth from 2013 to 2021, as well as key growth drivers and moderators. Special analysis conducted in this report includes the categorization of ~1,400 SCG peer-reviewed publications from 2010 to Feb 2017.

Select SCG Companies

Major Trends

Drivers

  • Increasing competition, putting pressure on the market to innovate
  • Availability of new platforms that streamline the historically laborious and low throughput workflow
  • Growth in the number of SCG centers, core facilities, and service providers expanding the geographical footprint of SCG
  • Development of new protocols and reagents optimized to improve the single-cell DNA/RNA amplification
  • Adoption of SCG by new customers segments

Moderators

  • Remaining workflow challenges, including isolating cells from tissue and recovering DNA / RNA at a high yield, amplifying DNA / RNA with limited bias and downstream computational analysis
  • Lack of short-term clinical applications

 

Report Segmentations



+ Customer

Buyers of SCG instruments, reagents, and consumables from manufacturers
• Academia
• Biopharma
• Clinical
• Applied Markets
• Others

+ Workflow

Individual steps in the SCG analysis process starting from sample and ending with data
• Single cell isolation
• Sample preparation
• Genomic analysis

+ Analytical Technology

Genomic technology used to quantify and / or identify the DNA / RNA of each single cell
• qPCR
• Sequencing
• PCR
• Multiple
• Microarray
• Other

+ Field-of-Study

Type of platform that manufacturer sells to its customers, based on throughput
• Microbiology
• Basic cell biology
• Stem cell biology
• Oncology
• Immunology
• Non-specific
• Other

+ Application

Key scientific research question being investigated
• Subpopulation characterization
• Genomic variation
• Cell differentiation/ reprogramming
• Method
• Circulating cells
• Other

+ Product Type

Type of product that manufacturer sells to its customers
• Instruments
• Reagents

+ Geography

Country / region of the world
• U.S.
• Europe
• Japan
• China
• Asia Pacific (APAC)
• Rest-of-the-world (ROW)

+ Company

Companies that offer SCG products
• Fluidigm
• 10X Genomics
• BioRad
• Wafergen
• Becton Dickinson
• Mission Bio
• Takara Clontech
• Others

 

Lead Author | Miguel Edwards, PhD

Miguel Edwards is a senior associate at DeciBio with over a decade of combined experience in life science business consulting and academic research. Miguel’s research and professional experience spans a variety of industries with a focus on disruptive technologies within life science research tools and diagnostics.
Miguel earned his Ph.D. in Molecular Biology at UCLA where he identified key signatures of stem cells and the impact of these on differentiation mechanisms. Miguel has extensive experience in genome engineering, and next generation sequencing across the entire workflow from library generation through computational analysis.

Schedule a 30 minutes report demo with Miguel today!

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