Overview
Over the years, technological advances in the field of genomics have enabled pharma companies to adopt a more personalized and targeted approach to drug/therapy development. Specifically, next-generation sequencing (NGS) technologies have enabled millions of human genomes across diverse ethnicities, to be sequenced. The large volumes of genomic data from the aforementioned sequencing studies have led to the generation of valuable insights on individuals' likely responses to different treatment regimens. Innovation in this field have made NGS technologies increasingly affordable and accessible. In fact, the cost of sequencing a single genome has dropped from USD ~3 billion (Human Genome Project 1990) to USD 1,000 (Illumina sequencing kits) over the last two decades. However, NGS based analyses are limited to offering averaged insights on gene expression. In other words, this method is incapable of quantifying nucleic acid content in individual cells, and thereby, offering gene expression information at single cell resolution. To better understand the interactions of individual cells with their microenvironment, advanced molecular probing solutions are required. In this context, high-throughput single-cell analysis, an emerging analytical technique, is considered a powerful means for studying individual cells, enabling researchers to study gene expression at single cell resolution.
Single-cell sequencing techniques offer many advantages over traditional genomic analyses, enabling the detection of complex and rare cell populations, and elucidating development trajectories of distinct cell lineages. Despite the potential to be used across diverse segments in biotechnology and medical research, this technique is still limited to early-stage research activities. This is primarily attributed to certain challenges associated with data processing and quality control. Further, the lack of versatile in silico tools is also considered among the major roadblocks to meaningful analysis and interpretation of single cell sequencing data. Additionally, the high cost of process execution and affiliated labor intensive protocols are other barriers to the adoption of since-cell sequencing technology. However, the introduction of the RNA-QC-Chain tool in 2018 (an effort to address the data processing and quality control related challenges) and the Human Cell Atlas project (responsible for developing the first whole transcriptome map of human cells), are considered prominent milestones in the field of single cell genomics. Presently, experts believe that the single-cell genomics market in North America, may reach USD 5 billion by 2025. Given, the potential of single-cell RNA sequencing (scRNA-seq) technologies to probe into previously unelucidated cellular mechanisms, and identify novel biomarkers/therapeutic targets, they are likely to witness significant adoption in biomedical research over the next decade.
Scope Of the Report
The ‘Single-cell Sequencing Services and Technologies Market, 2020-2030’ report features an extensive study of the current landscape and the future opportunities associated with single-cell sequencing services/technologies.
In addition to other elements, the report features:
- An overview of the competitive landscape of single-cell sequencing service providers providing information on a number of parameters, such as year of establishment, company size, geographical location, sequencing method used (DNA sequencing, RNA sequencing, ATAC sequencing and DNA methylation), types of services offered (library preparation, sequencing and bioinformatics), type of library preparation system used and type of sequencing system used.
- A detailed review of the competitive market landscape of single-cell sequencing workflow instruments providing information on a number of relevant parameters, such as target nucleic acid (DNA, RNA and protein), type of application (cell isolation, cDNA amplification and library preparation) and throughput. In addition, the report features competitive market landscape of single-cell sequencing systems providing information on parameters, such as type of application (single-cell, whole genome, whole exome and targeted sequencing), maximum output, maximum read length, system efficiency, sequencing chemistry (sequencing-by-synthesis, SMRT sequencing and nanopore sequencing). It also includes an analysis on the companies developing these systems, based on year of establishment, company size and geographical location.
- An insightful competitiveness analysis of single-cell sequencing technologies based on relevant parameters, such as supplier power (based on a company’s employee count and years of experience) and other important technology related specifications, such as maximum sequencing output, maximum reads per run, maximum read length, quality score, applications and cost of sequencer.
- Elaborate profiles of companies that are engaged in offering single-cell sequencing services and technologies. Each profile features a brief overview of the company, its financial information (if available), proprietary technology platform(s), recent developments and an informed future outlook.
- An in-depth analysis of the various patents that have been filed/granted for single-cell sequencing technologies, based on parameters, such as patent type, publication year, geographical location, Cooperative Patent Classification (CPC) symbols, emerging focus areas, and type of applicant, highlighting the leading industry/non-industry players (in terms of the size of intellectual property portfolio). It also features a patent benchmarking and valuation analysis.
- A detailed analysis of the grants that have been awarded to research institutes engaged in projects related to single-cell sequencing, between 2016 and 2020, based on multiple parameters, such as year of grant award, grant amount, focus area, activity code, support period, funding mechanism, funding institute center, type of recipient organization, popular recipient organizations and prominent program officers.
- An analysis of various developments/recent trends related to single-cell sequencing, offering insights on [A] partnerships and collaborations established within the industry, [B] funding and investments, and [C] recent product launches related to single-cell sequencing.
One of the key objectives of the report was to understand the primary growth drivers and estimate the future opportunity within the market. Based on several parameters, such as number of single-cell samples sequenced annually, average cost of sequencing, and growth trends across various geographies, we have provided an informed estimate of the likely evolution of the market, in the mid to long term, for the period 2020-2030. The chapter features the likely distribution of the opportunity across different [A] key market segments (services and technologies), [B] type of system (sequencing and workflow instruments), [C] end-user (pharmaceutical companies, academic and research institutions and other end-users), [D] area of application (diagnostics, drug discovery, precision medicine and others) and [E] geographical regions (North America, Europe, Asia-Pacific and rest of the world). In order to account for future uncertainties and to add robustness to our model, we have provided three forecast scenarios, portraying the conservative, base and optimistic tracks of the market’s evolution.
The opinions and insights presented in this study were influenced by discussions conducted with multiple stakeholders in this domain.
All actual figures have been sourced and analyzed from publicly available information forums. Financial figures mentioned in this report are in USD, unless otherwise specified.
Key Questions Answered
- Who are the leading single-cell sequencing service and technology providers?
- What are the recent developments in the single-cell sequencing domain?
- Which organizations have filed the maximum number of patents in this field?
- Which institutions have received the maximum grant funding?
- What factors are likely to influence the evolution of this upcoming market?
- How is the current and future opportunity likely to be distributed across key market segments?
Table of Contents
Companies Mentioned
- 10x Genomics
- 1CellBio
- Active Motif
- Admera Health
- Aelian Biotechnology
- Agency for Science Technology and Research
- Agilent Technologies
- Albert Einstein College of Medicine
- Annoroad Gene Technology
- Australian Genome Research Facility
- Becton Dickinson
- BGI Genomics
- Bigelow Single Cell Genomics Centre
- Bioinformatics and Expression Analysis Core Facility (Karolinska Institutet)
- BioLegend
- Immudex
- Biomedical Research Core Facilities (University of Michigan Medical School)
- Biopolymers Facility (Harvard Medical School)
- Bio-Rad Laboratories
- Biotech Research and Innovation Centre (University of Copenhagen)
- Biotechnology Center (University of Wisconsin-Madison)
- Broad Institute
- Bucher Biotec
- California Institute of Technology
- Cancer Genomics Center (University of Texas)
- Cancer Research UK Cambridge Institute (University of Cambridge)
- CARTANA
- CD Genomics
- Cedars-Sinai Genomics Core
- Cell Biologics
- Cell Microsystems
- Cellarity
- CellChorus
- Celldom
- CellTool
- Cellular Research
- Celsee
- Celsius Therapeutics
- Center for Gastrointestinal Biology and Disease (University of North Carolina School of Medicine)
- Center for Genetic Medicine (Northwestern University)
- Center for Translational Genomics (Lund University)
- Centre for Genome-Enabled Biology and Medicine (University of Aberdeen)
- Centre for Health Genomics and Informatics (University of Calgary)
- Centro Nacional de Análisis Genómico
- Clearbridge BioMedics
- Cleveland Clinic
- Cold Spring Harbor Laboratory
- Columbia Genome Center (Columbia University)
- Core Facility Genomics (Amsterdam UMC)
- Core Immunology Lab (University of California)
- Covance
- Cytena
- Cytomos
- Cytosurge
- DNA Core Facility (University of Missouri)
- DNA Technologies Core (University of California Davis)
- Dolomite Bio
- Droplet Genomics
- Duke Molecular Physiology Institute
- Earlham Institute
- Eldan
- Enigma Life Sciences
- Epigenomics and DNA Sequencing Core Facility (NIH)
- Epinomics
- Exosomeplus
- FlowJo
- Fluidigm
- Fulgent Genetics
- Functional Genomics Center Zurich (University of Zurich)
- GenapSys
- Genentech
- Genetic Resources Core Facility (Johns Hopkins University)
- GENEWIZ
- Genome Quebec
- Genome Sequencing Service Center (Stanford University)
- Genome Technology Access Center (Washington University)
- GenomeScan
- Genomics Core Facility (European Molecular Biology Laboratory)
- Genomics Core Facility (Lewis-Sigler Institute for Integrative Genomics)
- Genomics Facility (University of Chicago)
- Genuity Science
- Gladstone Genomics Core
- Hangzhou Chengyuan Genomics
- Harvard College
- Harvard University
- Huntsman Cancer Institute (University of Utah)
- Illumina
- Imperial BRC Genomics Facility (Imperial College London)
- Imperial Life Sciences
- InCellDx
- Indiana University School of Medicine (Indiana University)
- Institute for Genome Sciences (University of Maryland School of Medicine)
- Institute for Molecular Bioscience (University of Queensland)
- Intermountain Healthcare
- Iowa Institute of Human Genetics (University of Iowa)
- IsoPlexis
- Johnson & Johnson
- Katholieke Universiteit Leuven
- Kinghorn Medical Center (Garvan-Weizmann Medical Center)
- LC Sciences
- LMU University Hospital
- LumaCyte
- Massachusetts General Hospital
- Massachusetts Institute of Technology
- University of Texas MD Anderson Cancer Center
- MedGenome
- MGI
- MilliporeSigma
- Minos Biosciences
- Mission Bio
- Monash Health Translation Product Medical Genomics Facility
- NanoString Technologies
- Nashville Biosciences
- Natera
- NeuroInDx
- nference
- Novogene
- Nucleome Informatics
- NXTGNT (Ghent University)
- OICR Genomics and Bioinformatics
- Onconova Therapeutics
- Ottawa Hospital Research Institute
- Oxford Genetics (University of Edinburgh)
- Oxford Genomics Centre (University of Oxford)
- Oxford Nanopore Technologies
- Pacific Biosciences
- Partek
- Peak Analysis and Automation
- Perelman School of Medicine (University of Pennsylvania)
- PerkinElmer
- Petri
- Pittsburgh Liver Research Centre (University of Pittsburgh)
- Princess Margaret Genomics Centre
- Proteona
- Psomagen
- QB3 Genomics (University of California, Berkeley)
- QIAGEN
- Quick Biology
- Ramaciotti Centre for Genomics
- ReadCoor
- Rockefeller University
- RootPath
- S2 Genomics
- Saban Research Institute
- Salk Institute of Biological Sciences
- Sanford Burnham Prebys Medical Discovery Institute
- Scailyte
- SciLifeLab
- Scipio Bioscience
- Semel Institute for Neuroscience and Behavior (University of California)
- SeqLL
- SeqMatic
- Sequencing Core Facility (Max Planck Institute for Molecular Genetics)
- seqWell
- Singleron Biotechnologies
- Single Cell Analysis Facility (NCI Frederick Accessioning)
- Single Cell Discoveries
- Single Cell Genomics Core (Baylor College of Medicine)
- Single Cell Genomics Core (Brigham and Women's Hospital)
- Single Cell Sequencing Core - Department of Medicine (Boston University)
- Singlera Genomics
- SingulOmics
- Spanish National Center for Cardiovascular Research
- Spatial Transcriptomics
- Sphere Fluidics
- Split Bioscience
- St. Jude Children's Research Hospital
- Stanford University
- Sylvester Comprehensive Cancer Center (University of Miami)
- Takara Bio
- Technology Center for Genetics and Bioinformatics (University of California)
- Turku Bioscience (University of Turku)
- University of Auckland
- University of Buffalo Genomics and Bioinformatics Core
- University of California
- University of Helsinki
- University of Kansas Medical Center
- University of Oxford
- University of Texas
- UT Southwestern Medical Center (University of Texas)
- Vanderbilt Technologies for Advanced Genomics
- VIB Nucleomics Core (VIB)
- VyCAP
- WaferGen Bio-systems
- Wellcome Sanger Institute
- Wexner Medical Center (Ohio State University)
- Wistar Institute
- X Gen
- Yale Center for Genome Analysis (Yale School of Medicine)
- Yerkes National Primate Research Center (Emory University)
- Zephyrus Biosciences
- Zomedica Pharmaceuticals
Methodology
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