Global Metagenomics Market

Metagenomics Comprehensive Study by Type (Instrument & software, Consumable), Application (Infectious Disease Diagnosis, Environmental Remediation, Gut Microbe Characterization, Biotechnology, Biofuel, Agriculture), Technology (Sequencing, Bioinformatics), Workflow (Sample Preparation, Data Analysis) Players and Region - Global Market Outlook to 2028

Metagenomics Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 16.5%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Market Snapshot:
Metagenomics is the study of a collection of genetic material (genomes) from a mixed community of organisms. Metagenomics usually refers to the study of microbial communities. Metagenomics analysis platforms are gaining increased popularity in order to conduct metagenomics sequencing. Companies are experimenting with different algorithms for matching the closest genome to the novel coronavirus. They are conducting phylogenetic research to accelerate processes in the genomics community. Also, Stay up-to-date with latest research insights on "Metagenomics Sequencing Share & Growth Analysis".

Highlights from Metagenomics Market Study
AttributesDetails
Study Period2018-2028
Base Year2022
High Growth MarketNorth America
UnitValue (USD Million)
CAGR16.5%


The key Players profiled in the report are Agilent Technologies, Inc. (United States), Thermo Fisher Scientific, Inc. (United States), Siemens AG (Germany), Abbott Laboratories (United States), Enterome SA (France), F. Hoffmann-La Roche Ltd. (Switzerland), Illumina, Inc. (United States), Oxford Nanopore Technologies Ltd. (United Kingdom), Pacific Biosciences of California, Inc. (United States) and PerkinElmer, Inc. (United States). Additionally, other players that are part of this comprehensive study are Qiagen N.V. (Netherlands), Swift Biosciences, Inc., Beckman Coulter,, LI-COR,, Genomatix GmbH,, Beijing Genomics Institute, and and Pieriandx..

Geographic Breakdown and Segment Analysis
The Global Metagenomics market presents a comprehensive analysis of the Metagenomics market by product type (Instrument & software and Consumable), by end-user/application (Infectious Disease Diagnosis, Environmental Remediation, Gut Microbe Characterization, Biotechnology, Biofuel and Agriculture), and by geography (North America, South America, Europe, Asia-Pacific and MEA) along with country level break-up. This section of our report presents a realistic picture of the Global Metagenomics industry. Investors and Players can easily understand the inherent opportunities and challenges for their products in geographical region of interest. For instance, while the holds majority of market share of the Metagenomics market

Analyst at AMA have segmented the market study of Global Metagenomics market by Type, Application and Region.

Influencing Trend:
Availability of Cloud Computing for Data Management

Market Growth Drivers:
Significant Applications of Metagenomics in Various Fields, Initiatives and Funding From Government & Private Bodies for Large-Scale Sequencing Projects and Declining Cost of Sequencing

Challenges:
Storage of Sequencing Data and Dearth of Skilled Professionals

Restraints:
End-User Budget Constraints in Developing Countries

Opportunities:
Scientists Have Joined Forces With Metagenomics Companies in Order to Provide Tools and Information That Help if Tackling the Novel Coronavirus

Market Developments Activities:
On 2nd March 2021, Agilent Technologies Inc. announced that it has entered into a binding agreement to buy Resolution Bioscience Inc., a pioneer in the creation and marketing of precision oncology products based on next-generation sequencing (NGS). Agilent's strengths in NGS-based cancer diagnostics are complemented and expanded by the acquisition, which also gives the company access to cutting-edge technology to better meet the demands of the rapidly expanding precision medicine sector.
On 31st March 2022, A leading provider of point-of-care and at-home diagnostic testing and sample collection technologies, OraSure Technologies, Inc., announced that its subsidiary, Diversigen, has introduced a new service for the metatranscriptomic sequencing and analysis of gut microbiome samples.



The rising number of players expected to enter the global market is predicted to enhance the competition level as well as encourage the growth of the overall market in the near future. Players are anticipated to focus on the development of new compounds, which is likely to encourage the growth of the global market throughout the forecast period.

Key Target Audience
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Metagenomics Facility Centre, Raw Material Suppliers, Government Regulatory and Research Organizations and End-Use Industries

Report Objectives / Segmentation Covered

By Type
  • Instrument & software
  • Consumable
By Application
  • Infectious Disease Diagnosis
  • Environmental Remediation
  • Gut Microbe Characterization
  • Biotechnology
  • Biofuel
  • Agriculture
By Technology
  • Sequencing
  • Bioinformatics

By Workflow
  • Sample Preparation
  • Data Analysis

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. Significant Applications of Metagenomics in Various Fields
      • 3.2.2. Initiatives and Funding From Government & Private Bodies for Large-Scale Sequencing Projects
      • 3.2.3. Declining Cost of Sequencing
    • 3.3. Market Challenges
      • 3.3.1. Storage of Sequencing Data
      • 3.3.2. Dearth of Skilled Professionals
    • 3.4. Market Trends
      • 3.4.1. Availability of Cloud Computing for Data Management
  • 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 Metagenomics, by Type, Application, Technology, Workflow and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Metagenomics (Value)
      • 5.2.1. Global Metagenomics by: Type (Value)
        • 5.2.1.1. Instrument & software
        • 5.2.1.2. Consumable
      • 5.2.2. Global Metagenomics by: Application (Value)
        • 5.2.2.1. Infectious Disease Diagnosis
        • 5.2.2.2. Environmental Remediation
        • 5.2.2.3. Gut Microbe Characterization
        • 5.2.2.4. Biotechnology
        • 5.2.2.5. Biofuel
        • 5.2.2.6. Agriculture
      • 5.2.3. Global Metagenomics by: Technology (Value)
        • 5.2.3.1. Sequencing
        • 5.2.3.2. Bioinformatics
      • 5.2.4. Global Metagenomics by: Workflow (Value)
        • 5.2.4.1. Sample Preparation
        • 5.2.4.2. Data Analysis
      • 5.2.5. Global Metagenomics 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. Metagenomics: 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Agilent Technologies, Inc. (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. Thermo Fisher Scientific, Inc. (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. Siemens AG (Germany)
        • 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. Abbott Laboratories (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. Enterome SA (France)
        • 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. F. Hoffmann-La Roche Ltd. (Switzerland)
        • 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. Illumina, Inc. (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. Oxford Nanopore Technologies Ltd. (United Kingdom)
        • 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. Pacific Biosciences of California, Inc. (United States)
        • 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. PerkinElmer, Inc. (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 Metagenomics Sale, by Type, Application, Technology, Workflow and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Metagenomics (Value)
      • 7.2.1. Global Metagenomics by: Type (Value)
        • 7.2.1.1. Instrument & software
        • 7.2.1.2. Consumable
      • 7.2.2. Global Metagenomics by: Application (Value)
        • 7.2.2.1. Infectious Disease Diagnosis
        • 7.2.2.2. Environmental Remediation
        • 7.2.2.3. Gut Microbe Characterization
        • 7.2.2.4. Biotechnology
        • 7.2.2.5. Biofuel
        • 7.2.2.6. Agriculture
      • 7.2.3. Global Metagenomics by: Technology (Value)
        • 7.2.3.1. Sequencing
        • 7.2.3.2. Bioinformatics
      • 7.2.4. Global Metagenomics by: Workflow (Value)
        • 7.2.4.1. Sample Preparation
        • 7.2.4.2. Data Analysis
      • 7.2.5. Global Metagenomics 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. Metagenomics: by Type(USD Million)
  • Table 2. Metagenomics Instrument & software , by Region USD Million (2017-2022)
  • Table 3. Metagenomics Consumable , by Region USD Million (2017-2022)
  • Table 4. Metagenomics: by Application(USD Million)
  • Table 5. Metagenomics Infectious Disease Diagnosis , by Region USD Million (2017-2022)
  • Table 6. Metagenomics Environmental Remediation , by Region USD Million (2017-2022)
  • Table 7. Metagenomics Gut Microbe Characterization , by Region USD Million (2017-2022)
  • Table 8. Metagenomics Biotechnology , by Region USD Million (2017-2022)
  • Table 9. Metagenomics Biofuel , by Region USD Million (2017-2022)
  • Table 10. Metagenomics Agriculture , by Region USD Million (2017-2022)
  • Table 11. Metagenomics: by Technology(USD Million)
  • Table 12. Metagenomics Sequencing , by Region USD Million (2017-2022)
  • Table 13. Metagenomics Bioinformatics , by Region USD Million (2017-2022)
  • Table 14. Metagenomics: by Workflow(USD Million)
  • Table 15. Metagenomics Sample Preparation , by Region USD Million (2017-2022)
  • Table 16. Metagenomics Data Analysis , by Region USD Million (2017-2022)
  • Table 17. South America Metagenomics, by Country USD Million (2017-2022)
  • Table 18. South America Metagenomics, by Type USD Million (2017-2022)
  • Table 19. South America Metagenomics, by Application USD Million (2017-2022)
  • Table 20. South America Metagenomics, by Technology USD Million (2017-2022)
  • Table 21. South America Metagenomics, by Workflow USD Million (2017-2022)
  • Table 22. Brazil Metagenomics, by Type USD Million (2017-2022)
  • Table 23. Brazil Metagenomics, by Application USD Million (2017-2022)
  • Table 24. Brazil Metagenomics, by Technology USD Million (2017-2022)
  • Table 25. Brazil Metagenomics, by Workflow USD Million (2017-2022)
  • Table 26. Argentina Metagenomics, by Type USD Million (2017-2022)
  • Table 27. Argentina Metagenomics, by Application USD Million (2017-2022)
  • Table 28. Argentina Metagenomics, by Technology USD Million (2017-2022)
  • Table 29. Argentina Metagenomics, by Workflow USD Million (2017-2022)
  • Table 30. Rest of South America Metagenomics, by Type USD Million (2017-2022)
  • Table 31. Rest of South America Metagenomics, by Application USD Million (2017-2022)
  • Table 32. Rest of South America Metagenomics, by Technology USD Million (2017-2022)
  • Table 33. Rest of South America Metagenomics, by Workflow USD Million (2017-2022)
  • Table 34. Asia Pacific Metagenomics, by Country USD Million (2017-2022)
  • Table 35. Asia Pacific Metagenomics, by Type USD Million (2017-2022)
  • Table 36. Asia Pacific Metagenomics, by Application USD Million (2017-2022)
  • Table 37. Asia Pacific Metagenomics, by Technology USD Million (2017-2022)
  • Table 38. Asia Pacific Metagenomics, by Workflow USD Million (2017-2022)
  • Table 39. China Metagenomics, by Type USD Million (2017-2022)
  • Table 40. China Metagenomics, by Application USD Million (2017-2022)
  • Table 41. China Metagenomics, by Technology USD Million (2017-2022)
  • Table 42. China Metagenomics, by Workflow USD Million (2017-2022)
  • Table 43. Japan Metagenomics, by Type USD Million (2017-2022)
  • Table 44. Japan Metagenomics, by Application USD Million (2017-2022)
  • Table 45. Japan Metagenomics, by Technology USD Million (2017-2022)
  • Table 46. Japan Metagenomics, by Workflow USD Million (2017-2022)
  • Table 47. India Metagenomics, by Type USD Million (2017-2022)
  • Table 48. India Metagenomics, by Application USD Million (2017-2022)
  • Table 49. India Metagenomics, by Technology USD Million (2017-2022)
  • Table 50. India Metagenomics, by Workflow USD Million (2017-2022)
  • Table 51. South Korea Metagenomics, by Type USD Million (2017-2022)
  • Table 52. South Korea Metagenomics, by Application USD Million (2017-2022)
  • Table 53. South Korea Metagenomics, by Technology USD Million (2017-2022)
  • Table 54. South Korea Metagenomics, by Workflow USD Million (2017-2022)
  • Table 55. Taiwan Metagenomics, by Type USD Million (2017-2022)
  • Table 56. Taiwan Metagenomics, by Application USD Million (2017-2022)
  • Table 57. Taiwan Metagenomics, by Technology USD Million (2017-2022)
  • Table 58. Taiwan Metagenomics, by Workflow USD Million (2017-2022)
  • Table 59. Australia Metagenomics, by Type USD Million (2017-2022)
  • Table 60. Australia Metagenomics, by Application USD Million (2017-2022)
  • Table 61. Australia Metagenomics, by Technology USD Million (2017-2022)
  • Table 62. Australia Metagenomics, by Workflow USD Million (2017-2022)
  • Table 63. Rest of Asia-Pacific Metagenomics, by Type USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific Metagenomics, by Application USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Metagenomics, by Technology USD Million (2017-2022)
  • Table 66. Rest of Asia-Pacific Metagenomics, by Workflow USD Million (2017-2022)
  • Table 67. Europe Metagenomics, by Country USD Million (2017-2022)
  • Table 68. Europe Metagenomics, by Type USD Million (2017-2022)
  • Table 69. Europe Metagenomics, by Application USD Million (2017-2022)
  • Table 70. Europe Metagenomics, by Technology USD Million (2017-2022)
  • Table 71. Europe Metagenomics, by Workflow USD Million (2017-2022)
  • Table 72. Germany Metagenomics, by Type USD Million (2017-2022)
  • Table 73. Germany Metagenomics, by Application USD Million (2017-2022)
  • Table 74. Germany Metagenomics, by Technology USD Million (2017-2022)
  • Table 75. Germany Metagenomics, by Workflow USD Million (2017-2022)
  • Table 76. France Metagenomics, by Type USD Million (2017-2022)
  • Table 77. France Metagenomics, by Application USD Million (2017-2022)
  • Table 78. France Metagenomics, by Technology USD Million (2017-2022)
  • Table 79. France Metagenomics, by Workflow USD Million (2017-2022)
  • Table 80. Italy Metagenomics, by Type USD Million (2017-2022)
  • Table 81. Italy Metagenomics, by Application USD Million (2017-2022)
  • Table 82. Italy Metagenomics, by Technology USD Million (2017-2022)
  • Table 83. Italy Metagenomics, by Workflow USD Million (2017-2022)
  • Table 84. United Kingdom Metagenomics, by Type USD Million (2017-2022)
  • Table 85. United Kingdom Metagenomics, by Application USD Million (2017-2022)
  • Table 86. United Kingdom Metagenomics, by Technology USD Million (2017-2022)
  • Table 87. United Kingdom Metagenomics, by Workflow USD Million (2017-2022)
  • Table 88. Netherlands Metagenomics, by Type USD Million (2017-2022)
  • Table 89. Netherlands Metagenomics, by Application USD Million (2017-2022)
  • Table 90. Netherlands Metagenomics, by Technology USD Million (2017-2022)
  • Table 91. Netherlands Metagenomics, by Workflow USD Million (2017-2022)
  • Table 92. Rest of Europe Metagenomics, by Type USD Million (2017-2022)
  • Table 93. Rest of Europe Metagenomics, by Application USD Million (2017-2022)
  • Table 94. Rest of Europe Metagenomics, by Technology USD Million (2017-2022)
  • Table 95. Rest of Europe Metagenomics, by Workflow USD Million (2017-2022)
  • Table 96. MEA Metagenomics, by Country USD Million (2017-2022)
  • Table 97. MEA Metagenomics, by Type USD Million (2017-2022)
  • Table 98. MEA Metagenomics, by Application USD Million (2017-2022)
  • Table 99. MEA Metagenomics, by Technology USD Million (2017-2022)
  • Table 100. MEA Metagenomics, by Workflow USD Million (2017-2022)
  • Table 101. Middle East Metagenomics, by Type USD Million (2017-2022)
  • Table 102. Middle East Metagenomics, by Application USD Million (2017-2022)
  • Table 103. Middle East Metagenomics, by Technology USD Million (2017-2022)
  • Table 104. Middle East Metagenomics, by Workflow USD Million (2017-2022)
  • Table 105. Africa Metagenomics, by Type USD Million (2017-2022)
  • Table 106. Africa Metagenomics, by Application USD Million (2017-2022)
  • Table 107. Africa Metagenomics, by Technology USD Million (2017-2022)
  • Table 108. Africa Metagenomics, by Workflow USD Million (2017-2022)
  • Table 109. North America Metagenomics, by Country USD Million (2017-2022)
  • Table 110. North America Metagenomics, by Type USD Million (2017-2022)
  • Table 111. North America Metagenomics, by Application USD Million (2017-2022)
  • Table 112. North America Metagenomics, by Technology USD Million (2017-2022)
  • Table 113. North America Metagenomics, by Workflow USD Million (2017-2022)
  • Table 114. United States Metagenomics, by Type USD Million (2017-2022)
  • Table 115. United States Metagenomics, by Application USD Million (2017-2022)
  • Table 116. United States Metagenomics, by Technology USD Million (2017-2022)
  • Table 117. United States Metagenomics, by Workflow USD Million (2017-2022)
  • Table 118. Canada Metagenomics, by Type USD Million (2017-2022)
  • Table 119. Canada Metagenomics, by Application USD Million (2017-2022)
  • Table 120. Canada Metagenomics, by Technology USD Million (2017-2022)
  • Table 121. Canada Metagenomics, by Workflow USD Million (2017-2022)
  • Table 122. Mexico Metagenomics, by Type USD Million (2017-2022)
  • Table 123. Mexico Metagenomics, by Application USD Million (2017-2022)
  • Table 124. Mexico Metagenomics, by Technology USD Million (2017-2022)
  • Table 125. Mexico Metagenomics, by Workflow USD Million (2017-2022)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • 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. Metagenomics: by Type(USD Million)
  • Table 137. Metagenomics Instrument & software , by Region USD Million (2023-2028)
  • Table 138. Metagenomics Consumable , by Region USD Million (2023-2028)
  • Table 139. Metagenomics: by Application(USD Million)
  • Table 140. Metagenomics Infectious Disease Diagnosis , by Region USD Million (2023-2028)
  • Table 141. Metagenomics Environmental Remediation , by Region USD Million (2023-2028)
  • Table 142. Metagenomics Gut Microbe Characterization , by Region USD Million (2023-2028)
  • Table 143. Metagenomics Biotechnology , by Region USD Million (2023-2028)
  • Table 144. Metagenomics Biofuel , by Region USD Million (2023-2028)
  • Table 145. Metagenomics Agriculture , by Region USD Million (2023-2028)
  • Table 146. Metagenomics: by Technology(USD Million)
  • Table 147. Metagenomics Sequencing , by Region USD Million (2023-2028)
  • Table 148. Metagenomics Bioinformatics , by Region USD Million (2023-2028)
  • Table 149. Metagenomics: by Workflow(USD Million)
  • Table 150. Metagenomics Sample Preparation , by Region USD Million (2023-2028)
  • Table 151. Metagenomics Data Analysis , by Region USD Million (2023-2028)
  • Table 152. South America Metagenomics, by Country USD Million (2023-2028)
  • Table 153. South America Metagenomics, by Type USD Million (2023-2028)
  • Table 154. South America Metagenomics, by Application USD Million (2023-2028)
  • Table 155. South America Metagenomics, by Technology USD Million (2023-2028)
  • Table 156. South America Metagenomics, by Workflow USD Million (2023-2028)
  • Table 157. Brazil Metagenomics, by Type USD Million (2023-2028)
  • Table 158. Brazil Metagenomics, by Application USD Million (2023-2028)
  • Table 159. Brazil Metagenomics, by Technology USD Million (2023-2028)
  • Table 160. Brazil Metagenomics, by Workflow USD Million (2023-2028)
  • Table 161. Argentina Metagenomics, by Type USD Million (2023-2028)
  • Table 162. Argentina Metagenomics, by Application USD Million (2023-2028)
  • Table 163. Argentina Metagenomics, by Technology USD Million (2023-2028)
  • Table 164. Argentina Metagenomics, by Workflow USD Million (2023-2028)
  • Table 165. Rest of South America Metagenomics, by Type USD Million (2023-2028)
  • Table 166. Rest of South America Metagenomics, by Application USD Million (2023-2028)
  • Table 167. Rest of South America Metagenomics, by Technology USD Million (2023-2028)
  • Table 168. Rest of South America Metagenomics, by Workflow USD Million (2023-2028)
  • Table 169. Asia Pacific Metagenomics, by Country USD Million (2023-2028)
  • Table 170. Asia Pacific Metagenomics, by Type USD Million (2023-2028)
  • Table 171. Asia Pacific Metagenomics, by Application USD Million (2023-2028)
  • Table 172. Asia Pacific Metagenomics, by Technology USD Million (2023-2028)
  • Table 173. Asia Pacific Metagenomics, by Workflow USD Million (2023-2028)
  • Table 174. China Metagenomics, by Type USD Million (2023-2028)
  • Table 175. China Metagenomics, by Application USD Million (2023-2028)
  • Table 176. China Metagenomics, by Technology USD Million (2023-2028)
  • Table 177. China Metagenomics, by Workflow USD Million (2023-2028)
  • Table 178. Japan Metagenomics, by Type USD Million (2023-2028)
  • Table 179. Japan Metagenomics, by Application USD Million (2023-2028)
  • Table 180. Japan Metagenomics, by Technology USD Million (2023-2028)
  • Table 181. Japan Metagenomics, by Workflow USD Million (2023-2028)
  • Table 182. India Metagenomics, by Type USD Million (2023-2028)
  • Table 183. India Metagenomics, by Application USD Million (2023-2028)
  • Table 184. India Metagenomics, by Technology USD Million (2023-2028)
  • Table 185. India Metagenomics, by Workflow USD Million (2023-2028)
  • Table 186. South Korea Metagenomics, by Type USD Million (2023-2028)
  • Table 187. South Korea Metagenomics, by Application USD Million (2023-2028)
  • Table 188. South Korea Metagenomics, by Technology USD Million (2023-2028)
  • Table 189. South Korea Metagenomics, by Workflow USD Million (2023-2028)
  • Table 190. Taiwan Metagenomics, by Type USD Million (2023-2028)
  • Table 191. Taiwan Metagenomics, by Application USD Million (2023-2028)
  • Table 192. Taiwan Metagenomics, by Technology USD Million (2023-2028)
  • Table 193. Taiwan Metagenomics, by Workflow USD Million (2023-2028)
  • Table 194. Australia Metagenomics, by Type USD Million (2023-2028)
  • Table 195. Australia Metagenomics, by Application USD Million (2023-2028)
  • Table 196. Australia Metagenomics, by Technology USD Million (2023-2028)
  • Table 197. Australia Metagenomics, by Workflow USD Million (2023-2028)
  • Table 198. Rest of Asia-Pacific Metagenomics, by Type USD Million (2023-2028)
  • Table 199. Rest of Asia-Pacific Metagenomics, by Application USD Million (2023-2028)
  • Table 200. Rest of Asia-Pacific Metagenomics, by Technology USD Million (2023-2028)
  • Table 201. Rest of Asia-Pacific Metagenomics, by Workflow USD Million (2023-2028)
  • Table 202. Europe Metagenomics, by Country USD Million (2023-2028)
  • Table 203. Europe Metagenomics, by Type USD Million (2023-2028)
  • Table 204. Europe Metagenomics, by Application USD Million (2023-2028)
  • Table 205. Europe Metagenomics, by Technology USD Million (2023-2028)
  • Table 206. Europe Metagenomics, by Workflow USD Million (2023-2028)
  • Table 207. Germany Metagenomics, by Type USD Million (2023-2028)
  • Table 208. Germany Metagenomics, by Application USD Million (2023-2028)
  • Table 209. Germany Metagenomics, by Technology USD Million (2023-2028)
  • Table 210. Germany Metagenomics, by Workflow USD Million (2023-2028)
  • Table 211. France Metagenomics, by Type USD Million (2023-2028)
  • Table 212. France Metagenomics, by Application USD Million (2023-2028)
  • Table 213. France Metagenomics, by Technology USD Million (2023-2028)
  • Table 214. France Metagenomics, by Workflow USD Million (2023-2028)
  • Table 215. Italy Metagenomics, by Type USD Million (2023-2028)
  • Table 216. Italy Metagenomics, by Application USD Million (2023-2028)
  • Table 217. Italy Metagenomics, by Technology USD Million (2023-2028)
  • Table 218. Italy Metagenomics, by Workflow USD Million (2023-2028)
  • Table 219. United Kingdom Metagenomics, by Type USD Million (2023-2028)
  • Table 220. United Kingdom Metagenomics, by Application USD Million (2023-2028)
  • Table 221. United Kingdom Metagenomics, by Technology USD Million (2023-2028)
  • Table 222. United Kingdom Metagenomics, by Workflow USD Million (2023-2028)
  • Table 223. Netherlands Metagenomics, by Type USD Million (2023-2028)
  • Table 224. Netherlands Metagenomics, by Application USD Million (2023-2028)
  • Table 225. Netherlands Metagenomics, by Technology USD Million (2023-2028)
  • Table 226. Netherlands Metagenomics, by Workflow USD Million (2023-2028)
  • Table 227. Rest of Europe Metagenomics, by Type USD Million (2023-2028)
  • Table 228. Rest of Europe Metagenomics, by Application USD Million (2023-2028)
  • Table 229. Rest of Europe Metagenomics, by Technology USD Million (2023-2028)
  • Table 230. Rest of Europe Metagenomics, by Workflow USD Million (2023-2028)
  • Table 231. MEA Metagenomics, by Country USD Million (2023-2028)
  • Table 232. MEA Metagenomics, by Type USD Million (2023-2028)
  • Table 233. MEA Metagenomics, by Application USD Million (2023-2028)
  • Table 234. MEA Metagenomics, by Technology USD Million (2023-2028)
  • Table 235. MEA Metagenomics, by Workflow USD Million (2023-2028)
  • Table 236. Middle East Metagenomics, by Type USD Million (2023-2028)
  • Table 237. Middle East Metagenomics, by Application USD Million (2023-2028)
  • Table 238. Middle East Metagenomics, by Technology USD Million (2023-2028)
  • Table 239. Middle East Metagenomics, by Workflow USD Million (2023-2028)
  • Table 240. Africa Metagenomics, by Type USD Million (2023-2028)
  • Table 241. Africa Metagenomics, by Application USD Million (2023-2028)
  • Table 242. Africa Metagenomics, by Technology USD Million (2023-2028)
  • Table 243. Africa Metagenomics, by Workflow USD Million (2023-2028)
  • Table 244. North America Metagenomics, by Country USD Million (2023-2028)
  • Table 245. North America Metagenomics, by Type USD Million (2023-2028)
  • Table 246. North America Metagenomics, by Application USD Million (2023-2028)
  • Table 247. North America Metagenomics, by Technology USD Million (2023-2028)
  • Table 248. North America Metagenomics, by Workflow USD Million (2023-2028)
  • Table 249. United States Metagenomics, by Type USD Million (2023-2028)
  • Table 250. United States Metagenomics, by Application USD Million (2023-2028)
  • Table 251. United States Metagenomics, by Technology USD Million (2023-2028)
  • Table 252. United States Metagenomics, by Workflow USD Million (2023-2028)
  • Table 253. Canada Metagenomics, by Type USD Million (2023-2028)
  • Table 254. Canada Metagenomics, by Application USD Million (2023-2028)
  • Table 255. Canada Metagenomics, by Technology USD Million (2023-2028)
  • Table 256. Canada Metagenomics, by Workflow USD Million (2023-2028)
  • Table 257. Mexico Metagenomics, by Type USD Million (2023-2028)
  • Table 258. Mexico Metagenomics, by Application USD Million (2023-2028)
  • Table 259. Mexico Metagenomics, by Technology USD Million (2023-2028)
  • Table 260. Mexico Metagenomics, by Workflow USD Million (2023-2028)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. 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 Metagenomics: by Type USD Million (2017-2022)
  • Figure 5. Global Metagenomics: by Application USD Million (2017-2022)
  • Figure 6. Global Metagenomics: by Technology USD Million (2017-2022)
  • Figure 7. Global Metagenomics: by Workflow USD Million (2017-2022)
  • Figure 8. South America Metagenomics Share (%), by Country
  • Figure 9. Asia Pacific Metagenomics Share (%), by Country
  • Figure 10. Europe Metagenomics Share (%), by Country
  • Figure 11. MEA Metagenomics Share (%), by Country
  • Figure 12. North America Metagenomics Share (%), by Country
  • Figure 13. Global Metagenomics share by Players 2022 (%)
  • Figure 14. Global Metagenomics share by Players (Top 3) 2022(%)
  • Figure 15. Global Metagenomics share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Agilent Technologies, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. Agilent Technologies, Inc. (United States) Revenue: by Geography 2022
  • Figure 19. Thermo Fisher Scientific, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. Thermo Fisher Scientific, Inc. (United States) Revenue: by Geography 2022
  • Figure 21. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Siemens AG (Germany) Revenue: by Geography 2022
  • Figure 23. Abbott Laboratories (United States) Revenue, Net Income and Gross profit
  • Figure 24. Abbott Laboratories (United States) Revenue: by Geography 2022
  • Figure 25. Enterome SA (France) Revenue, Net Income and Gross profit
  • Figure 26. Enterome SA (France) Revenue: by Geography 2022
  • Figure 27. F. Hoffmann-La Roche Ltd. (Switzerland) Revenue, Net Income and Gross profit
  • Figure 28. F. Hoffmann-La Roche Ltd. (Switzerland) Revenue: by Geography 2022
  • Figure 29. Illumina, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Illumina, Inc. (United States) Revenue: by Geography 2022
  • Figure 31. Oxford Nanopore Technologies Ltd. (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Oxford Nanopore Technologies Ltd. (United Kingdom) Revenue: by Geography 2022
  • Figure 33. Pacific Biosciences of California, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. Pacific Biosciences of California, Inc. (United States) Revenue: by Geography 2022
  • Figure 35. PerkinElmer, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 36. PerkinElmer, Inc. (United States) Revenue: by Geography 2022
  • Figure 37. Global Metagenomics: by Type USD Million (2023-2028)
  • Figure 38. Global Metagenomics: by Application USD Million (2023-2028)
  • Figure 39. Global Metagenomics: by Technology USD Million (2023-2028)
  • Figure 40. Global Metagenomics: by Workflow USD Million (2023-2028)
  • Figure 41. South America Metagenomics Share (%), by Country
  • Figure 42. Asia Pacific Metagenomics Share (%), by Country
  • Figure 43. Europe Metagenomics Share (%), by Country
  • Figure 44. MEA Metagenomics Share (%), by Country
  • Figure 45. North America Metagenomics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Agilent Technologies, Inc. (United States)
  • Thermo Fisher Scientific, Inc. (United States)
  • Siemens AG (Germany)
  • Abbott Laboratories (United States)
  • Enterome SA (France)
  • F. Hoffmann-La Roche Ltd. (Switzerland)
  • Illumina, Inc. (United States)
  • Oxford Nanopore Technologies Ltd. (United Kingdom)
  • Pacific Biosciences of California, Inc. (United States)
  • PerkinElmer, Inc. (United States)
Additional players considered in the study are as follows:
Qiagen N.V. (Netherlands) , Swift Biosciences, Inc. , Beckman Coulter, , LI-COR, , Genomatix GmbH, , Beijing Genomics Institute, and , Pieriandx.
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Global Metagenomics Market Quantitative research analysis
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