Global Single Cell Multi-Omics

Single Cell Multi-Omics Comprehensive Study by Type (Single Cell Genomics, Single Cell Proteomics, Single Cell Transcriptomics, Single Cell Metabolomics), Application (Oncology, Cell Biology, Neurology, Immunology, Others), Technique (Single-Cell Isolation & Dispensing, Single-Cell Analysis), End User (Academic Institutes, Contract Research Organizations, Pharmaceutical & Biotech Companies) Players and Region - Global Market Outlook to 2027

Single Cell Multi-Omics Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Overview:
The expansion of the single-cell multi-omics market is fueled by an increase in the prevalence of technological breakthroughs in single-cell analysis products and an increase in the number of large-scale genomics research utilizing single-cell RNA Sequencing (sc-RNA). Furthermore, rising disposable income in emerging nations, as well as increasing acceptance of customized medicine for screening and diagnostics of genetic disorders, are driving the growth of the single-cell multi-omics market. However, the market's growth is likely to be hindered by the high cost of single-cell analysis, a scarcity of qualified professionals, data integration, and the lack of major online data storage and analysis platforms. Furthermore, increased funding for single-cell multi-omics research is expected to give profitable growth possibilities for market participants.

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period2022-2027
Historical Period2017-2021
UnitValue (USD Million)
Key Companies Profiled10x Genomics (United States), 1CellBio (United States), MissionBio (United States), NanoString Technologies (United States), Fluidigm Corporation (United States), Fluxion Biosciences (Canada), Bio-Rad Laboratories (United States), Celsee (United States), BGI Genomics (China) and GE LifeSciences (United States)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics by major and emerging geographies across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Key Players of Single Cell Multi-Omics Market Study:
10x Genomics (United States), 1CellBio (United States), MissionBio (United States), NanoString Technologies (United States), Fluidigm Corporation (United States), Fluxion Biosciences (Canada), Bio-Rad Laboratories (United States), Celsee (United States), BGI Genomics (China) and GE LifeSciences (United States)

In the last few years, Global market of Single Cell Multi-Omics developed rapidly. Major factors driving the market are Increase in adoption of personalized medicine for the screening and diagnostics of genetic disorders .

On the basis of product type, the Single Cell Multi-Omics market is segmented by Single Cell Genomics, Single Cell Proteomics, Single Cell Transcriptomics and Single Cell Metabolomics.

On the basis of applications, the Single Cell Multi-Omics market is segmented by Oncology, Cell Biology, Neurology, Immunology and Others.

Latest Industry Highlights:
On October 29, 2020, Mission Bio, Inc. announced the launch of a complete Tapestri® Single-cell Multi-omics Solution. With a new instrument, single-cell multi-omics reagent kits, TotalSeq-D™ antibody content from BioLegend, and visualization software, the complete package provides layered insight into multiple analytes across all blood cancers, reducing drug development time and cost by at least half. The company is partnering with BioLegend, a global leader and provider of world-class, cutting-edge antibodies and reagents, to develop antibody panels for single-cell protein detection with the new device..

Some of the other players that are also part of study are Illumina (United States) and Takara Bio (Japan). The Global Single Cell Multi-Omics market is gaining huge competition due to involvement of United States companies that constantly invest in research & development to meet market expectation with new innovation.

Research Methodology:

The top-down and bottom-up approaches are used to estimate and validate the size of the Global Single Cell Multi-Omics market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Single Cell Multi-Omics market.
Identification of total players or companies operating in the global market which is further concentrated to a fewer or most impacting players which is considered under the report’s scope. In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Venture Capitalists and Private Equity Firms, New Entrants/Investors, Government Regulatory and Research Organizations and End-Use Industries.

This helps us to gather the data for the players’ revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Single Cell Genomics
  • Single Cell Proteomics
  • Single Cell Transcriptomics
  • Single Cell Metabolomics
By Application
  • Oncology
  • Cell Biology
  • Neurology
  • Immunology
  • Others
By Technique
  • Single-Cell Isolation & Dispensing
  • Single-Cell Analysis

By End User
  • Academic Institutes
  • Contract Research Organizations
  • Pharmaceutical & Biotech Companies

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increase in adoption of personalized medicine for the screening and diagnostics of genetic disorders
      • 3.2.2. Rise in number of large-scale genomics studies leveraging single-cell RNA Sequencing
    • 3.3. Market Challenges
      • 3.3.1. Dearth of skilled professionals
    • 3.4. Market Trends
      • 3.4.1. Technological advancements in single-cell analysis products
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Single Cell Multi-Omics, by Type, Application, Technique, End User and Region (value) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Single Cell Multi-Omics (Value)
      • 5.2.1. Global Single Cell Multi-Omics by: Type (Value)
        • 5.2.1.1. Single Cell Genomics
        • 5.2.1.2. Single Cell Proteomics
        • 5.2.1.3. Single Cell Transcriptomics
        • 5.2.1.4. Single Cell Metabolomics
      • 5.2.2. Global Single Cell Multi-Omics by: Application (Value)
        • 5.2.2.1. Oncology
        • 5.2.2.2. Cell Biology
        • 5.2.2.3. Neurology
        • 5.2.2.4. Immunology
        • 5.2.2.5. Others
      • 5.2.3. Global Single Cell Multi-Omics by: Technique (Value)
        • 5.2.3.1. Single-Cell Isolation & Dispensing
        • 5.2.3.2. Single-Cell Analysis
      • 5.2.4. Global Single Cell Multi-Omics by: End User (Value)
        • 5.2.4.1. Academic Institutes
        • 5.2.4.2. Contract Research Organizations
        • 5.2.4.3. Pharmaceutical & Biotech Companies
      • 5.2.5. Global Single Cell Multi-Omics Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Single Cell Multi-Omics: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. 10x Genomics (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. 1CellBio (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. MissionBio (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. NanoString Technologies (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Fluidigm Corporation (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Fluxion Biosciences (Canada)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Bio-Rad Laboratories (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Celsee (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. BGI Genomics (China)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. GE LifeSciences (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Single Cell Multi-Omics Sale, by Type, Application, Technique, End User and Region (value) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Single Cell Multi-Omics (Value)
      • 7.2.1. Global Single Cell Multi-Omics by: Type (Value)
        • 7.2.1.1. Single Cell Genomics
        • 7.2.1.2. Single Cell Proteomics
        • 7.2.1.3. Single Cell Transcriptomics
        • 7.2.1.4. Single Cell Metabolomics
      • 7.2.2. Global Single Cell Multi-Omics by: Application (Value)
        • 7.2.2.1. Oncology
        • 7.2.2.2. Cell Biology
        • 7.2.2.3. Neurology
        • 7.2.2.4. Immunology
        • 7.2.2.5. Others
      • 7.2.3. Global Single Cell Multi-Omics by: Technique (Value)
        • 7.2.3.1. Single-Cell Isolation & Dispensing
        • 7.2.3.2. Single-Cell Analysis
      • 7.2.4. Global Single Cell Multi-Omics by: End User (Value)
        • 7.2.4.1. Academic Institutes
        • 7.2.4.2. Contract Research Organizations
        • 7.2.4.3. Pharmaceutical & Biotech Companies
      • 7.2.5. Global Single Cell Multi-Omics Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Single Cell Multi-Omics: by Type(USD Million)
  • Table 2. Single Cell Multi-Omics Single Cell Genomics , by Region USD Million (2016-2021)
  • Table 3. Single Cell Multi-Omics Single Cell Proteomics , by Region USD Million (2016-2021)
  • Table 4. Single Cell Multi-Omics Single Cell Transcriptomics , by Region USD Million (2016-2021)
  • Table 5. Single Cell Multi-Omics Single Cell Metabolomics , by Region USD Million (2016-2021)
  • Table 6. Single Cell Multi-Omics: by Application(USD Million)
  • Table 7. Single Cell Multi-Omics Oncology , by Region USD Million (2016-2021)
  • Table 8. Single Cell Multi-Omics Cell Biology , by Region USD Million (2016-2021)
  • Table 9. Single Cell Multi-Omics Neurology , by Region USD Million (2016-2021)
  • Table 10. Single Cell Multi-Omics Immunology , by Region USD Million (2016-2021)
  • Table 11. Single Cell Multi-Omics Others , by Region USD Million (2016-2021)
  • Table 12. Single Cell Multi-Omics: by Technique(USD Million)
  • Table 13. Single Cell Multi-Omics Single-Cell Isolation & Dispensing , by Region USD Million (2016-2021)
  • Table 14. Single Cell Multi-Omics Single-Cell Analysis , by Region USD Million (2016-2021)
  • Table 15. Single Cell Multi-Omics: by End User(USD Million)
  • Table 16. Single Cell Multi-Omics Academic Institutes , by Region USD Million (2016-2021)
  • Table 17. Single Cell Multi-Omics Contract Research Organizations , by Region USD Million (2016-2021)
  • Table 18. Single Cell Multi-Omics Pharmaceutical & Biotech Companies , by Region USD Million (2016-2021)
  • Table 19. South America Single Cell Multi-Omics, by Country USD Million (2016-2021)
  • Table 20. South America Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 21. South America Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 22. South America Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 23. South America Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 24. Brazil Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 25. Brazil Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 26. Brazil Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 27. Brazil Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 28. Argentina Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 29. Argentina Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 30. Argentina Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 31. Argentina Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 32. Rest of South America Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 33. Rest of South America Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 34. Rest of South America Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 35. Rest of South America Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 36. Asia Pacific Single Cell Multi-Omics, by Country USD Million (2016-2021)
  • Table 37. Asia Pacific Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 38. Asia Pacific Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 39. Asia Pacific Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 40. Asia Pacific Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 41. China Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 42. China Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 43. China Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 44. China Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 45. Japan Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 46. Japan Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 47. Japan Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 48. Japan Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 49. India Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 50. India Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 51. India Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 52. India Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 53. South Korea Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 54. South Korea Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 55. South Korea Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 56. South Korea Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 57. Taiwan Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 58. Taiwan Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 59. Taiwan Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 60. Taiwan Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 61. Australia Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 62. Australia Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 63. Australia Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 64. Australia Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 65. Rest of Asia-Pacific Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 66. Rest of Asia-Pacific Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 67. Rest of Asia-Pacific Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 68. Rest of Asia-Pacific Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 69. Europe Single Cell Multi-Omics, by Country USD Million (2016-2021)
  • Table 70. Europe Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 71. Europe Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 72. Europe Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 73. Europe Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 74. Germany Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 75. Germany Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 76. Germany Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 77. Germany Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 78. France Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 79. France Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 80. France Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 81. France Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 82. Italy Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 83. Italy Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 84. Italy Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 85. Italy Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 86. United Kingdom Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 87. United Kingdom Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 88. United Kingdom Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 89. United Kingdom Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 90. Netherlands Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 91. Netherlands Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 92. Netherlands Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 93. Netherlands Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 94. Rest of Europe Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 95. Rest of Europe Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 96. Rest of Europe Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 97. Rest of Europe Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 98. MEA Single Cell Multi-Omics, by Country USD Million (2016-2021)
  • Table 99. MEA Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 100. MEA Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 101. MEA Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 102. MEA Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 103. Middle East Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 104. Middle East Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 105. Middle East Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 106. Middle East Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 107. Africa Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 108. Africa Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 109. Africa Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 110. Africa Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 111. North America Single Cell Multi-Omics, by Country USD Million (2016-2021)
  • Table 112. North America Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 113. North America Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 114. North America Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 115. North America Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 116. United States Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 117. United States Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 118. United States Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 119. United States Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 120. Canada Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 121. Canada Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 122. Canada Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 123. Canada Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 124. Mexico Single Cell Multi-Omics, by Type USD Million (2016-2021)
  • Table 125. Mexico Single Cell Multi-Omics, by Application USD Million (2016-2021)
  • Table 126. Mexico Single Cell Multi-Omics, by Technique USD Million (2016-2021)
  • Table 127. Mexico Single Cell Multi-Omics, by End User USD Million (2016-2021)
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Single Cell Multi-Omics: by Type(USD Million)
  • Table 139. Single Cell Multi-Omics Single Cell Genomics , by Region USD Million (2022-2027)
  • Table 140. Single Cell Multi-Omics Single Cell Proteomics , by Region USD Million (2022-2027)
  • Table 141. Single Cell Multi-Omics Single Cell Transcriptomics , by Region USD Million (2022-2027)
  • Table 142. Single Cell Multi-Omics Single Cell Metabolomics , by Region USD Million (2022-2027)
  • Table 143. Single Cell Multi-Omics: by Application(USD Million)
  • Table 144. Single Cell Multi-Omics Oncology , by Region USD Million (2022-2027)
  • Table 145. Single Cell Multi-Omics Cell Biology , by Region USD Million (2022-2027)
  • Table 146. Single Cell Multi-Omics Neurology , by Region USD Million (2022-2027)
  • Table 147. Single Cell Multi-Omics Immunology , by Region USD Million (2022-2027)
  • Table 148. Single Cell Multi-Omics Others , by Region USD Million (2022-2027)
  • Table 149. Single Cell Multi-Omics: by Technique(USD Million)
  • Table 150. Single Cell Multi-Omics Single-Cell Isolation & Dispensing , by Region USD Million (2022-2027)
  • Table 151. Single Cell Multi-Omics Single-Cell Analysis , by Region USD Million (2022-2027)
  • Table 152. Single Cell Multi-Omics: by End User(USD Million)
  • Table 153. Single Cell Multi-Omics Academic Institutes , by Region USD Million (2022-2027)
  • Table 154. Single Cell Multi-Omics Contract Research Organizations , by Region USD Million (2022-2027)
  • Table 155. Single Cell Multi-Omics Pharmaceutical & Biotech Companies , by Region USD Million (2022-2027)
  • Table 156. South America Single Cell Multi-Omics, by Country USD Million (2022-2027)
  • Table 157. South America Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 158. South America Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 159. South America Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 160. South America Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 161. Brazil Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 162. Brazil Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 163. Brazil Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 164. Brazil Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 165. Argentina Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 166. Argentina Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 167. Argentina Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 168. Argentina Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 169. Rest of South America Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 170. Rest of South America Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 171. Rest of South America Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 172. Rest of South America Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 173. Asia Pacific Single Cell Multi-Omics, by Country USD Million (2022-2027)
  • Table 174. Asia Pacific Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 175. Asia Pacific Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 176. Asia Pacific Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 177. Asia Pacific Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 178. China Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 179. China Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 180. China Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 181. China Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 182. Japan Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 183. Japan Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 184. Japan Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 185. Japan Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 186. India Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 187. India Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 188. India Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 189. India Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 190. South Korea Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 191. South Korea Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 192. South Korea Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 193. South Korea Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 194. Taiwan Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 195. Taiwan Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 196. Taiwan Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 197. Taiwan Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 198. Australia Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 199. Australia Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 200. Australia Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 201. Australia Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 202. Rest of Asia-Pacific Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 203. Rest of Asia-Pacific Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 204. Rest of Asia-Pacific Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 205. Rest of Asia-Pacific Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 206. Europe Single Cell Multi-Omics, by Country USD Million (2022-2027)
  • Table 207. Europe Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 208. Europe Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 209. Europe Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 210. Europe Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 211. Germany Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 212. Germany Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 213. Germany Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 214. Germany Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 215. France Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 216. France Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 217. France Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 218. France Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 219. Italy Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 220. Italy Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 221. Italy Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 222. Italy Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 223. United Kingdom Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 224. United Kingdom Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 225. United Kingdom Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 226. United Kingdom Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 227. Netherlands Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 228. Netherlands Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 229. Netherlands Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 230. Netherlands Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 231. Rest of Europe Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 232. Rest of Europe Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 233. Rest of Europe Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 234. Rest of Europe Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 235. MEA Single Cell Multi-Omics, by Country USD Million (2022-2027)
  • Table 236. MEA Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 237. MEA Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 238. MEA Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 239. MEA Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 240. Middle East Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 241. Middle East Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 242. Middle East Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 243. Middle East Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 244. Africa Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 245. Africa Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 246. Africa Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 247. Africa Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 248. North America Single Cell Multi-Omics, by Country USD Million (2022-2027)
  • Table 249. North America Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 250. North America Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 251. North America Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 252. North America Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 253. United States Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 254. United States Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 255. United States Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 256. United States Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 257. Canada Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 258. Canada Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 259. Canada Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 260. Canada Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 261. Mexico Single Cell Multi-Omics, by Type USD Million (2022-2027)
  • Table 262. Mexico Single Cell Multi-Omics, by Application USD Million (2022-2027)
  • Table 263. Mexico Single Cell Multi-Omics, by Technique USD Million (2022-2027)
  • Table 264. Mexico Single Cell Multi-Omics, by End User USD Million (2022-2027)
  • Table 265. Research Programs/Design for This Report
  • Table 266. Key Data Information from Secondary Sources
  • Table 267. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Single Cell Multi-Omics: by Type USD Million (2016-2021)
  • Figure 5. Global Single Cell Multi-Omics: by Application USD Million (2016-2021)
  • Figure 6. Global Single Cell Multi-Omics: by Technique USD Million (2016-2021)
  • Figure 7. Global Single Cell Multi-Omics: by End User USD Million (2016-2021)
  • Figure 8. South America Single Cell Multi-Omics Share (%), by Country
  • Figure 9. Asia Pacific Single Cell Multi-Omics Share (%), by Country
  • Figure 10. Europe Single Cell Multi-Omics Share (%), by Country
  • Figure 11. MEA Single Cell Multi-Omics Share (%), by Country
  • Figure 12. North America Single Cell Multi-Omics Share (%), by Country
  • Figure 13. Global Single Cell Multi-Omics share by Players 2021 (%)
  • Figure 14. Global Single Cell Multi-Omics share by Players (Top 3) 2021(%)
  • Figure 15. Global Single Cell Multi-Omics share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. 10x Genomics (United States) Revenue, Net Income and Gross profit
  • Figure 18. 10x Genomics (United States) Revenue: by Geography 2021
  • Figure 19. 1CellBio (United States) Revenue, Net Income and Gross profit
  • Figure 20. 1CellBio (United States) Revenue: by Geography 2021
  • Figure 21. MissionBio (United States) Revenue, Net Income and Gross profit
  • Figure 22. MissionBio (United States) Revenue: by Geography 2021
  • Figure 23. NanoString Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 24. NanoString Technologies (United States) Revenue: by Geography 2021
  • Figure 25. Fluidigm Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 26. Fluidigm Corporation (United States) Revenue: by Geography 2021
  • Figure 27. Fluxion Biosciences (Canada) Revenue, Net Income and Gross profit
  • Figure 28. Fluxion Biosciences (Canada) Revenue: by Geography 2021
  • Figure 29. Bio-Rad Laboratories (United States) Revenue, Net Income and Gross profit
  • Figure 30. Bio-Rad Laboratories (United States) Revenue: by Geography 2021
  • Figure 31. Celsee (United States) Revenue, Net Income and Gross profit
  • Figure 32. Celsee (United States) Revenue: by Geography 2021
  • Figure 33. BGI Genomics (China) Revenue, Net Income and Gross profit
  • Figure 34. BGI Genomics (China) Revenue: by Geography 2021
  • Figure 35. GE LifeSciences (United States) Revenue, Net Income and Gross profit
  • Figure 36. GE LifeSciences (United States) Revenue: by Geography 2021
  • Figure 37. Global Single Cell Multi-Omics: by Type USD Million (2022-2027)
  • Figure 38. Global Single Cell Multi-Omics: by Application USD Million (2022-2027)
  • Figure 39. Global Single Cell Multi-Omics: by Technique USD Million (2022-2027)
  • Figure 40. Global Single Cell Multi-Omics: by End User USD Million (2022-2027)
  • Figure 41. South America Single Cell Multi-Omics Share (%), by Country
  • Figure 42. Asia Pacific Single Cell Multi-Omics Share (%), by Country
  • Figure 43. Europe Single Cell Multi-Omics Share (%), by Country
  • Figure 44. MEA Single Cell Multi-Omics Share (%), by Country
  • Figure 45. North America Single Cell Multi-Omics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • 10x Genomics (United States)
  • 1CellBio (United States)
  • MissionBio (United States)
  • NanoString Technologies (United States)
  • Fluidigm Corporation (United States)
  • Fluxion Biosciences (Canada)
  • Bio-Rad Laboratories (United States)
  • Celsee (United States)
  • BGI Genomics (China)
  • GE LifeSciences (United States)
Additional players considered in the study are as follows:
Illumina (United States) , Takara Bio (Japan)
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Key Highlights of Report


Jun 2022 144 Pages 53 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Single Cell Multi-Omics Quantitative research analysis
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Frequently Asked Questions (FAQ):

"Technological advancements in single-cell analysis products" is seen as one of major influencing trends for Single Cell Multi-Omics Market during projected period 2021-2027.
The Concentration Rate of Global Single Cell Multi-Omics market is highlighted using HHI Index.
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