Global Microbial Identification
Global Microbial Identification

Microbial Identification Comprehensive Study by Type (Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other}, Consumables {Plates and Media, Reagents and Kits, Other}, Services {Identification Services, Culture Collection Services}), Application (Diagnostic {Human, Animal}, Food Testing, Beverage Testing, Cosmetics and Personal Care Products Testing, Pharmaceutical Applications, Environmental Applications, Other Applications), End Users (Hospitals, Diagnostic Laboratories, and Blood Banks, Food Manufacturing Companies, Beverage Manufacturers, Pharmaceutical Companies and CROs, Other), Method (Phenotypic Methods, Genotypic Methods, Proteomics-based Methods) Players and Region - Global Market Outlook to 2025

Microbial Identification Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Oct 2020 Edition 237 Pages 181 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is Microbial Identification Market?

Microbial identification is the process of identifying harmful bacteria and fungi that may contaminate raw materials, manufacturing facilities, and branded products. Microbial identification depends on phenotypic identification using staining, culturing, and simple biochemical tests. It is used to identify microorganisms that are the reason for various diseases. According to the World Health Organization, at least 30 new diseases have emerged in the last 20 years, which now threaten the health of hundreds of millions of people. The increasing prevalence of infectious diseases has risen the need to identify the microorganism causing them. Hence is driving the microbial identification market growth.

The market study is being classified by Type (Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other}, Consumables {Plates and Media, Reagents and Kits, Other} and Services {Identification Services, Culture Collection Services}), by Application (Diagnostic {Human, Animal}, Food Testing, Beverage Testing, Cosmetics and Personal Care Products Testing, Pharmaceutical Applications, Environmental Applications and Other Applications) and major geographies with country level break-up.

Becton, Dickinson and Company (United States), Thermo Fisher Scientific Inc. (United States), Danaher Corporation (United States), bioMérieux S.A. (France), Merck KGaA (Germany), Charles River Laboratories International, Inc. (United States), Bruker Corporation (United States), Shimadzu Corporation (Japan), VWR Corporation (United States), Eurofins Scientific S.E. (Luxembourg), GTCR, LLC. (United States), QIAGEN N.V. (Netherlands), Liofilchem s.r.l. (Italy), IEH Laboratories & Consulting Group (United States) and STERIS plc Group (United Kingdom) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are v.

The manufacturers in the market continue to focus on innovation and technological advancements in the product and services. Such developments coupled with competitive pricing are likely to assist in increasing market share over the forecast period. The key players are investing heavily in research & development to enhance the product and service quality. Research Analyst at AMA predicts that United States and European Players will contribute to the maximum growth of Global Microbial Identification market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Microbial Identification market by Type, Application and Region.

On the basis of geography, the market of Microbial Identification has been segmented into 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing Food Safety Concerns
  • Rising Burden of Infectious Diseases

Market Trend
  • Technological Advancements in Microbial Identification
  • Growing Focus on MALDI-TOF-Based Applications in Identification

Restraints
  • High Cost of Automated Microbial Identification Systems

Opportunities
  • Government Initiatives and A Favorable Regulatory Scenario
  • Initiatives to Detect and Control Antimicrobial-Resistant Species
  • Emergence of Bioterrorism Surveillance

Challenges
  • Complex Regulatory Frameworks That Delay the Approval of New Microbial Diagnostic Tests


In November 2019, Becton, Dickinson and Company launched its BD Kiestra™ IdentifA system, an automated preparation solution in Europe and Canada. This solution helps in bring accuracy and efficiency to preparing samples for microbial identification.


Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, Microbial Identification Providers, Life Sciences Instrumentation And Reagent Companies, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End Use Industry

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other}
  • Consumables {Plates and Media, Reagents and Kits, Other}
  • Services {Identification Services, Culture Collection Services}
By Application
  • Diagnostic {Human, Animal}
  • Food Testing
  • Beverage Testing
  • Cosmetics and Personal Care Products Testing
  • Pharmaceutical Applications
  • Environmental Applications
  • Other Applications
By End Users
  • Hospitals, Diagnostic Laboratories, and Blood Banks
  • Food Manufacturing Companies
  • Beverage Manufacturers
  • Pharmaceutical Companies and CROs
  • Other

By Method
  • Phenotypic Methods
  • Genotypic Methods
  • Proteomics-based Methods

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. Increasing Food Safety Concerns
      • 3.2.2. Rising Burden of Infectious Diseases
    • 3.3. Market Challenges
      • 3.3.1. Complex Regulatory Frameworks That Delay the Approval of New Microbial Diagnostic Tests
    • 3.4. Market Trends
      • 3.4.1. Technological Advancements in Microbial Identification
      • 3.4.2. Growing Focus on MALDI-TOF-Based Applications in Identification
  • 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 Microbial Identification, by Type, Application, End Users, Method and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Microbial Identification (Value)
      • 5.2.1. Global Microbial Identification by: Type (Value)
        • 5.2.1.1. Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other}
        • 5.2.1.2. Consumables {Plates and Media, Reagents and Kits, Other}
        • 5.2.1.3. Services {Identification Services, Culture Collection Services}
      • 5.2.2. Global Microbial Identification by: Application (Value)
        • 5.2.2.1. Diagnostic {Human, Animal}
        • 5.2.2.2. Food Testing
        • 5.2.2.3. Beverage Testing
        • 5.2.2.4. Cosmetics and Personal Care Products Testing
        • 5.2.2.5. Pharmaceutical Applications
        • 5.2.2.6. Environmental Applications
        • 5.2.2.7. Other Applications
      • 5.2.3. Global Microbial Identification by: End Users (Value)
        • 5.2.3.1. Hospitals, Diagnostic Laboratories, and Blood Banks
        • 5.2.3.2. Food Manufacturing Companies
        • 5.2.3.3. Beverage Manufacturers
        • 5.2.3.4. Pharmaceutical Companies and CROs
        • 5.2.3.5. Other
      • 5.2.4. Global Microbial Identification by: Method (Value)
        • 5.2.4.1. Phenotypic Methods
        • 5.2.4.2. Genotypic Methods
        • 5.2.4.3. Proteomics-based Methods
      • 5.2.5. Global Microbial Identification 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. Microbial Identification: 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 (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Becton, Dickinson and Company (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. Danaher Corporation (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. BioMérieux S.A. (France)
        • 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. Merck KGaA (Germany)
        • 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. Charles River Laboratories International, Inc. (United States)
        • 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. Bruker Corporation (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. Shimadzu Corporation (Japan)
        • 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. VWR Corporation (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. Eurofins Scientific S.E. (Luxembourg)
        • 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
      • 6.4.11. GTCR, LLC. (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. QIAGEN N.V. (Netherlands)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Liofilchem s.r.l. (Italy)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. IEH Laboratories & Consulting Group (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. STERIS plc Group (United Kingdom)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Microbial Identification Sale, by Type, Application, End Users, Method and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Microbial Identification (Value)
      • 7.2.1. Global Microbial Identification by: Type (Value)
        • 7.2.1.1. Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other}
        • 7.2.1.2. Consumables {Plates and Media, Reagents and Kits, Other}
        • 7.2.1.3. Services {Identification Services, Culture Collection Services}
      • 7.2.2. Global Microbial Identification by: Application (Value)
        • 7.2.2.1. Diagnostic {Human, Animal}
        • 7.2.2.2. Food Testing
        • 7.2.2.3. Beverage Testing
        • 7.2.2.4. Cosmetics and Personal Care Products Testing
        • 7.2.2.5. Pharmaceutical Applications
        • 7.2.2.6. Environmental Applications
        • 7.2.2.7. Other Applications
      • 7.2.3. Global Microbial Identification by: End Users (Value)
        • 7.2.3.1. Hospitals, Diagnostic Laboratories, and Blood Banks
        • 7.2.3.2. Food Manufacturing Companies
        • 7.2.3.3. Beverage Manufacturers
        • 7.2.3.4. Pharmaceutical Companies and CROs
        • 7.2.3.5. Other
      • 7.2.4. Global Microbial Identification by: Method (Value)
        • 7.2.4.1. Phenotypic Methods
        • 7.2.4.2. Genotypic Methods
        • 7.2.4.3. Proteomics-based Methods
      • 7.2.5. Global Microbial Identification 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. Microbial Identification: by Type(USD Million)
  • Table 2. Microbial Identification Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other} , by Region USD Million (2014-2019)
  • Table 3. Microbial Identification Consumables {Plates and Media, Reagents and Kits, Other} , by Region USD Million (2014-2019)
  • Table 4. Microbial Identification Services {Identification Services, Culture Collection Services} , by Region USD Million (2014-2019)
  • Table 5. Microbial Identification: by Application(USD Million)
  • Table 6. Microbial Identification Diagnostic {Human, Animal} , by Region USD Million (2014-2019)
  • Table 7. Microbial Identification Food Testing , by Region USD Million (2014-2019)
  • Table 8. Microbial Identification Beverage Testing , by Region USD Million (2014-2019)
  • Table 9. Microbial Identification Cosmetics and Personal Care Products Testing , by Region USD Million (2014-2019)
  • Table 10. Microbial Identification Pharmaceutical Applications , by Region USD Million (2014-2019)
  • Table 11. Microbial Identification Environmental Applications , by Region USD Million (2014-2019)
  • Table 12. Microbial Identification Other Applications , by Region USD Million (2014-2019)
  • Table 13. Microbial Identification: by End Users(USD Million)
  • Table 14. Microbial Identification Hospitals, Diagnostic Laboratories, and Blood Banks , by Region USD Million (2014-2019)
  • Table 15. Microbial Identification Food Manufacturing Companies , by Region USD Million (2014-2019)
  • Table 16. Microbial Identification Beverage Manufacturers , by Region USD Million (2014-2019)
  • Table 17. Microbial Identification Pharmaceutical Companies and CROs , by Region USD Million (2014-2019)
  • Table 18. Microbial Identification Other , by Region USD Million (2014-2019)
  • Table 19. Microbial Identification: by Method(USD Million)
  • Table 20. Microbial Identification Phenotypic Methods , by Region USD Million (2014-2019)
  • Table 21. Microbial Identification Genotypic Methods , by Region USD Million (2014-2019)
  • Table 22. Microbial Identification Proteomics-based Methods , by Region USD Million (2014-2019)
  • Table 23. South America Microbial Identification, by Country USD Million (2014-2019)
  • Table 24. South America Microbial Identification, by Type USD Million (2014-2019)
  • Table 25. South America Microbial Identification, by Application USD Million (2014-2019)
  • Table 26. South America Microbial Identification, by End Users USD Million (2014-2019)
  • Table 27. South America Microbial Identification, by Method USD Million (2014-2019)
  • Table 28. Brazil Microbial Identification, by Type USD Million (2014-2019)
  • Table 29. Brazil Microbial Identification, by Application USD Million (2014-2019)
  • Table 30. Brazil Microbial Identification, by End Users USD Million (2014-2019)
  • Table 31. Brazil Microbial Identification, by Method USD Million (2014-2019)
  • Table 32. Argentina Microbial Identification, by Type USD Million (2014-2019)
  • Table 33. Argentina Microbial Identification, by Application USD Million (2014-2019)
  • Table 34. Argentina Microbial Identification, by End Users USD Million (2014-2019)
  • Table 35. Argentina Microbial Identification, by Method USD Million (2014-2019)
  • Table 36. Rest of South America Microbial Identification, by Type USD Million (2014-2019)
  • Table 37. Rest of South America Microbial Identification, by Application USD Million (2014-2019)
  • Table 38. Rest of South America Microbial Identification, by End Users USD Million (2014-2019)
  • Table 39. Rest of South America Microbial Identification, by Method USD Million (2014-2019)
  • Table 40. Asia Pacific Microbial Identification, by Country USD Million (2014-2019)
  • Table 41. Asia Pacific Microbial Identification, by Type USD Million (2014-2019)
  • Table 42. Asia Pacific Microbial Identification, by Application USD Million (2014-2019)
  • Table 43. Asia Pacific Microbial Identification, by End Users USD Million (2014-2019)
  • Table 44. Asia Pacific Microbial Identification, by Method USD Million (2014-2019)
  • Table 45. China Microbial Identification, by Type USD Million (2014-2019)
  • Table 46. China Microbial Identification, by Application USD Million (2014-2019)
  • Table 47. China Microbial Identification, by End Users USD Million (2014-2019)
  • Table 48. China Microbial Identification, by Method USD Million (2014-2019)
  • Table 49. Japan Microbial Identification, by Type USD Million (2014-2019)
  • Table 50. Japan Microbial Identification, by Application USD Million (2014-2019)
  • Table 51. Japan Microbial Identification, by End Users USD Million (2014-2019)
  • Table 52. Japan Microbial Identification, by Method USD Million (2014-2019)
  • Table 53. India Microbial Identification, by Type USD Million (2014-2019)
  • Table 54. India Microbial Identification, by Application USD Million (2014-2019)
  • Table 55. India Microbial Identification, by End Users USD Million (2014-2019)
  • Table 56. India Microbial Identification, by Method USD Million (2014-2019)
  • Table 57. South Korea Microbial Identification, by Type USD Million (2014-2019)
  • Table 58. South Korea Microbial Identification, by Application USD Million (2014-2019)
  • Table 59. South Korea Microbial Identification, by End Users USD Million (2014-2019)
  • Table 60. South Korea Microbial Identification, by Method USD Million (2014-2019)
  • Table 61. Taiwan Microbial Identification, by Type USD Million (2014-2019)
  • Table 62. Taiwan Microbial Identification, by Application USD Million (2014-2019)
  • Table 63. Taiwan Microbial Identification, by End Users USD Million (2014-2019)
  • Table 64. Taiwan Microbial Identification, by Method USD Million (2014-2019)
  • Table 65. Australia Microbial Identification, by Type USD Million (2014-2019)
  • Table 66. Australia Microbial Identification, by Application USD Million (2014-2019)
  • Table 67. Australia Microbial Identification, by End Users USD Million (2014-2019)
  • Table 68. Australia Microbial Identification, by Method USD Million (2014-2019)
  • Table 69. Rest of Asia-Pacific Microbial Identification, by Type USD Million (2014-2019)
  • Table 70. Rest of Asia-Pacific Microbial Identification, by Application USD Million (2014-2019)
  • Table 71. Rest of Asia-Pacific Microbial Identification, by End Users USD Million (2014-2019)
  • Table 72. Rest of Asia-Pacific Microbial Identification, by Method USD Million (2014-2019)
  • Table 73. Europe Microbial Identification, by Country USD Million (2014-2019)
  • Table 74. Europe Microbial Identification, by Type USD Million (2014-2019)
  • Table 75. Europe Microbial Identification, by Application USD Million (2014-2019)
  • Table 76. Europe Microbial Identification, by End Users USD Million (2014-2019)
  • Table 77. Europe Microbial Identification, by Method USD Million (2014-2019)
  • Table 78. Germany Microbial Identification, by Type USD Million (2014-2019)
  • Table 79. Germany Microbial Identification, by Application USD Million (2014-2019)
  • Table 80. Germany Microbial Identification, by End Users USD Million (2014-2019)
  • Table 81. Germany Microbial Identification, by Method USD Million (2014-2019)
  • Table 82. France Microbial Identification, by Type USD Million (2014-2019)
  • Table 83. France Microbial Identification, by Application USD Million (2014-2019)
  • Table 84. France Microbial Identification, by End Users USD Million (2014-2019)
  • Table 85. France Microbial Identification, by Method USD Million (2014-2019)
  • Table 86. Italy Microbial Identification, by Type USD Million (2014-2019)
  • Table 87. Italy Microbial Identification, by Application USD Million (2014-2019)
  • Table 88. Italy Microbial Identification, by End Users USD Million (2014-2019)
  • Table 89. Italy Microbial Identification, by Method USD Million (2014-2019)
  • Table 90. United Kingdom Microbial Identification, by Type USD Million (2014-2019)
  • Table 91. United Kingdom Microbial Identification, by Application USD Million (2014-2019)
  • Table 92. United Kingdom Microbial Identification, by End Users USD Million (2014-2019)
  • Table 93. United Kingdom Microbial Identification, by Method USD Million (2014-2019)
  • Table 94. Netherlands Microbial Identification, by Type USD Million (2014-2019)
  • Table 95. Netherlands Microbial Identification, by Application USD Million (2014-2019)
  • Table 96. Netherlands Microbial Identification, by End Users USD Million (2014-2019)
  • Table 97. Netherlands Microbial Identification, by Method USD Million (2014-2019)
  • Table 98. Rest of Europe Microbial Identification, by Type USD Million (2014-2019)
  • Table 99. Rest of Europe Microbial Identification, by Application USD Million (2014-2019)
  • Table 100. Rest of Europe Microbial Identification, by End Users USD Million (2014-2019)
  • Table 101. Rest of Europe Microbial Identification, by Method USD Million (2014-2019)
  • Table 102. MEA Microbial Identification, by Country USD Million (2014-2019)
  • Table 103. MEA Microbial Identification, by Type USD Million (2014-2019)
  • Table 104. MEA Microbial Identification, by Application USD Million (2014-2019)
  • Table 105. MEA Microbial Identification, by End Users USD Million (2014-2019)
  • Table 106. MEA Microbial Identification, by Method USD Million (2014-2019)
  • Table 107. Middle East Microbial Identification, by Type USD Million (2014-2019)
  • Table 108. Middle East Microbial Identification, by Application USD Million (2014-2019)
  • Table 109. Middle East Microbial Identification, by End Users USD Million (2014-2019)
  • Table 110. Middle East Microbial Identification, by Method USD Million (2014-2019)
  • Table 111. Africa Microbial Identification, by Type USD Million (2014-2019)
  • Table 112. Africa Microbial Identification, by Application USD Million (2014-2019)
  • Table 113. Africa Microbial Identification, by End Users USD Million (2014-2019)
  • Table 114. Africa Microbial Identification, by Method USD Million (2014-2019)
  • Table 115. North America Microbial Identification, by Country USD Million (2014-2019)
  • Table 116. North America Microbial Identification, by Type USD Million (2014-2019)
  • Table 117. North America Microbial Identification, by Application USD Million (2014-2019)
  • Table 118. North America Microbial Identification, by End Users USD Million (2014-2019)
  • Table 119. North America Microbial Identification, by Method USD Million (2014-2019)
  • Table 120. United States Microbial Identification, by Type USD Million (2014-2019)
  • Table 121. United States Microbial Identification, by Application USD Million (2014-2019)
  • Table 122. United States Microbial Identification, by End Users USD Million (2014-2019)
  • Table 123. United States Microbial Identification, by Method USD Million (2014-2019)
  • Table 124. Canada Microbial Identification, by Type USD Million (2014-2019)
  • Table 125. Canada Microbial Identification, by Application USD Million (2014-2019)
  • Table 126. Canada Microbial Identification, by End Users USD Million (2014-2019)
  • Table 127. Canada Microbial Identification, by Method USD Million (2014-2019)
  • Table 128. Mexico Microbial Identification, by Type USD Million (2014-2019)
  • Table 129. Mexico Microbial Identification, by Application USD Million (2014-2019)
  • Table 130. Mexico Microbial Identification, by End Users USD Million (2014-2019)
  • Table 131. Mexico Microbial Identification, by Method USD Million (2014-2019)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Microbial Identification: by Type(USD Million)
  • Table 148. Microbial Identification Instruments {Automated Microbial Identification Systems,.Mass Spectrometers, PCR, Microarrays, High-power Microscopes, Polystainers, Flow Cytometers, Other} , by Region USD Million (2020-2025)
  • Table 149. Microbial Identification Consumables {Plates and Media, Reagents and Kits, Other} , by Region USD Million (2020-2025)
  • Table 150. Microbial Identification Services {Identification Services, Culture Collection Services} , by Region USD Million (2020-2025)
  • Table 151. Microbial Identification: by Application(USD Million)
  • Table 152. Microbial Identification Diagnostic {Human, Animal} , by Region USD Million (2020-2025)
  • Table 153. Microbial Identification Food Testing , by Region USD Million (2020-2025)
  • Table 154. Microbial Identification Beverage Testing , by Region USD Million (2020-2025)
  • Table 155. Microbial Identification Cosmetics and Personal Care Products Testing , by Region USD Million (2020-2025)
  • Table 156. Microbial Identification Pharmaceutical Applications , by Region USD Million (2020-2025)
  • Table 157. Microbial Identification Environmental Applications , by Region USD Million (2020-2025)
  • Table 158. Microbial Identification Other Applications , by Region USD Million (2020-2025)
  • Table 159. Microbial Identification: by End Users(USD Million)
  • Table 160. Microbial Identification Hospitals, Diagnostic Laboratories, and Blood Banks , by Region USD Million (2020-2025)
  • Table 161. Microbial Identification Food Manufacturing Companies , by Region USD Million (2020-2025)
  • Table 162. Microbial Identification Beverage Manufacturers , by Region USD Million (2020-2025)
  • Table 163. Microbial Identification Pharmaceutical Companies and CROs , by Region USD Million (2020-2025)
  • Table 164. Microbial Identification Other , by Region USD Million (2020-2025)
  • Table 165. Microbial Identification: by Method(USD Million)
  • Table 166. Microbial Identification Phenotypic Methods , by Region USD Million (2020-2025)
  • Table 167. Microbial Identification Genotypic Methods , by Region USD Million (2020-2025)
  • Table 168. Microbial Identification Proteomics-based Methods , by Region USD Million (2020-2025)
  • Table 169. South America Microbial Identification, by Country USD Million (2020-2025)
  • Table 170. South America Microbial Identification, by Type USD Million (2020-2025)
  • Table 171. South America Microbial Identification, by Application USD Million (2020-2025)
  • Table 172. South America Microbial Identification, by End Users USD Million (2020-2025)
  • Table 173. South America Microbial Identification, by Method USD Million (2020-2025)
  • Table 174. Brazil Microbial Identification, by Type USD Million (2020-2025)
  • Table 175. Brazil Microbial Identification, by Application USD Million (2020-2025)
  • Table 176. Brazil Microbial Identification, by End Users USD Million (2020-2025)
  • Table 177. Brazil Microbial Identification, by Method USD Million (2020-2025)
  • Table 178. Argentina Microbial Identification, by Type USD Million (2020-2025)
  • Table 179. Argentina Microbial Identification, by Application USD Million (2020-2025)
  • Table 180. Argentina Microbial Identification, by End Users USD Million (2020-2025)
  • Table 181. Argentina Microbial Identification, by Method USD Million (2020-2025)
  • Table 182. Rest of South America Microbial Identification, by Type USD Million (2020-2025)
  • Table 183. Rest of South America Microbial Identification, by Application USD Million (2020-2025)
  • Table 184. Rest of South America Microbial Identification, by End Users USD Million (2020-2025)
  • Table 185. Rest of South America Microbial Identification, by Method USD Million (2020-2025)
  • Table 186. Asia Pacific Microbial Identification, by Country USD Million (2020-2025)
  • Table 187. Asia Pacific Microbial Identification, by Type USD Million (2020-2025)
  • Table 188. Asia Pacific Microbial Identification, by Application USD Million (2020-2025)
  • Table 189. Asia Pacific Microbial Identification, by End Users USD Million (2020-2025)
  • Table 190. Asia Pacific Microbial Identification, by Method USD Million (2020-2025)
  • Table 191. China Microbial Identification, by Type USD Million (2020-2025)
  • Table 192. China Microbial Identification, by Application USD Million (2020-2025)
  • Table 193. China Microbial Identification, by End Users USD Million (2020-2025)
  • Table 194. China Microbial Identification, by Method USD Million (2020-2025)
  • Table 195. Japan Microbial Identification, by Type USD Million (2020-2025)
  • Table 196. Japan Microbial Identification, by Application USD Million (2020-2025)
  • Table 197. Japan Microbial Identification, by End Users USD Million (2020-2025)
  • Table 198. Japan Microbial Identification, by Method USD Million (2020-2025)
  • Table 199. India Microbial Identification, by Type USD Million (2020-2025)
  • Table 200. India Microbial Identification, by Application USD Million (2020-2025)
  • Table 201. India Microbial Identification, by End Users USD Million (2020-2025)
  • Table 202. India Microbial Identification, by Method USD Million (2020-2025)
  • Table 203. South Korea Microbial Identification, by Type USD Million (2020-2025)
  • Table 204. South Korea Microbial Identification, by Application USD Million (2020-2025)
  • Table 205. South Korea Microbial Identification, by End Users USD Million (2020-2025)
  • Table 206. South Korea Microbial Identification, by Method USD Million (2020-2025)
  • Table 207. Taiwan Microbial Identification, by Type USD Million (2020-2025)
  • Table 208. Taiwan Microbial Identification, by Application USD Million (2020-2025)
  • Table 209. Taiwan Microbial Identification, by End Users USD Million (2020-2025)
  • Table 210. Taiwan Microbial Identification, by Method USD Million (2020-2025)
  • Table 211. Australia Microbial Identification, by Type USD Million (2020-2025)
  • Table 212. Australia Microbial Identification, by Application USD Million (2020-2025)
  • Table 213. Australia Microbial Identification, by End Users USD Million (2020-2025)
  • Table 214. Australia Microbial Identification, by Method USD Million (2020-2025)
  • Table 215. Rest of Asia-Pacific Microbial Identification, by Type USD Million (2020-2025)
  • Table 216. Rest of Asia-Pacific Microbial Identification, by Application USD Million (2020-2025)
  • Table 217. Rest of Asia-Pacific Microbial Identification, by End Users USD Million (2020-2025)
  • Table 218. Rest of Asia-Pacific Microbial Identification, by Method USD Million (2020-2025)
  • Table 219. Europe Microbial Identification, by Country USD Million (2020-2025)
  • Table 220. Europe Microbial Identification, by Type USD Million (2020-2025)
  • Table 221. Europe Microbial Identification, by Application USD Million (2020-2025)
  • Table 222. Europe Microbial Identification, by End Users USD Million (2020-2025)
  • Table 223. Europe Microbial Identification, by Method USD Million (2020-2025)
  • Table 224. Germany Microbial Identification, by Type USD Million (2020-2025)
  • Table 225. Germany Microbial Identification, by Application USD Million (2020-2025)
  • Table 226. Germany Microbial Identification, by End Users USD Million (2020-2025)
  • Table 227. Germany Microbial Identification, by Method USD Million (2020-2025)
  • Table 228. France Microbial Identification, by Type USD Million (2020-2025)
  • Table 229. France Microbial Identification, by Application USD Million (2020-2025)
  • Table 230. France Microbial Identification, by End Users USD Million (2020-2025)
  • Table 231. France Microbial Identification, by Method USD Million (2020-2025)
  • Table 232. Italy Microbial Identification, by Type USD Million (2020-2025)
  • Table 233. Italy Microbial Identification, by Application USD Million (2020-2025)
  • Table 234. Italy Microbial Identification, by End Users USD Million (2020-2025)
  • Table 235. Italy Microbial Identification, by Method USD Million (2020-2025)
  • Table 236. United Kingdom Microbial Identification, by Type USD Million (2020-2025)
  • Table 237. United Kingdom Microbial Identification, by Application USD Million (2020-2025)
  • Table 238. United Kingdom Microbial Identification, by End Users USD Million (2020-2025)
  • Table 239. United Kingdom Microbial Identification, by Method USD Million (2020-2025)
  • Table 240. Netherlands Microbial Identification, by Type USD Million (2020-2025)
  • Table 241. Netherlands Microbial Identification, by Application USD Million (2020-2025)
  • Table 242. Netherlands Microbial Identification, by End Users USD Million (2020-2025)
  • Table 243. Netherlands Microbial Identification, by Method USD Million (2020-2025)
  • Table 244. Rest of Europe Microbial Identification, by Type USD Million (2020-2025)
  • Table 245. Rest of Europe Microbial Identification, by Application USD Million (2020-2025)
  • Table 246. Rest of Europe Microbial Identification, by End Users USD Million (2020-2025)
  • Table 247. Rest of Europe Microbial Identification, by Method USD Million (2020-2025)
  • Table 248. MEA Microbial Identification, by Country USD Million (2020-2025)
  • Table 249. MEA Microbial Identification, by Type USD Million (2020-2025)
  • Table 250. MEA Microbial Identification, by Application USD Million (2020-2025)
  • Table 251. MEA Microbial Identification, by End Users USD Million (2020-2025)
  • Table 252. MEA Microbial Identification, by Method USD Million (2020-2025)
  • Table 253. Middle East Microbial Identification, by Type USD Million (2020-2025)
  • Table 254. Middle East Microbial Identification, by Application USD Million (2020-2025)
  • Table 255. Middle East Microbial Identification, by End Users USD Million (2020-2025)
  • Table 256. Middle East Microbial Identification, by Method USD Million (2020-2025)
  • Table 257. Africa Microbial Identification, by Type USD Million (2020-2025)
  • Table 258. Africa Microbial Identification, by Application USD Million (2020-2025)
  • Table 259. Africa Microbial Identification, by End Users USD Million (2020-2025)
  • Table 260. Africa Microbial Identification, by Method USD Million (2020-2025)
  • Table 261. North America Microbial Identification, by Country USD Million (2020-2025)
  • Table 262. North America Microbial Identification, by Type USD Million (2020-2025)
  • Table 263. North America Microbial Identification, by Application USD Million (2020-2025)
  • Table 264. North America Microbial Identification, by End Users USD Million (2020-2025)
  • Table 265. North America Microbial Identification, by Method USD Million (2020-2025)
  • Table 266. United States Microbial Identification, by Type USD Million (2020-2025)
  • Table 267. United States Microbial Identification, by Application USD Million (2020-2025)
  • Table 268. United States Microbial Identification, by End Users USD Million (2020-2025)
  • Table 269. United States Microbial Identification, by Method USD Million (2020-2025)
  • Table 270. Canada Microbial Identification, by Type USD Million (2020-2025)
  • Table 271. Canada Microbial Identification, by Application USD Million (2020-2025)
  • Table 272. Canada Microbial Identification, by End Users USD Million (2020-2025)
  • Table 273. Canada Microbial Identification, by Method USD Million (2020-2025)
  • Table 274. Mexico Microbial Identification, by Type USD Million (2020-2025)
  • Table 275. Mexico Microbial Identification, by Application USD Million (2020-2025)
  • Table 276. Mexico Microbial Identification, by End Users USD Million (2020-2025)
  • Table 277. Mexico Microbial Identification, by Method USD Million (2020-2025)
  • Table 278. Research Programs/Design for This Report
  • Table 279. Key Data Information from Secondary Sources
  • Table 280. 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 Microbial Identification: by Type USD Million (2014-2019)
  • Figure 5. Global Microbial Identification: by Application USD Million (2014-2019)
  • Figure 6. Global Microbial Identification: by End Users USD Million (2014-2019)
  • Figure 7. Global Microbial Identification: by Method USD Million (2014-2019)
  • Figure 8. South America Microbial Identification Share (%), by Country
  • Figure 9. Asia Pacific Microbial Identification Share (%), by Country
  • Figure 10. Europe Microbial Identification Share (%), by Country
  • Figure 11. MEA Microbial Identification Share (%), by Country
  • Figure 12. North America Microbial Identification Share (%), by Country
  • Figure 13. Global Microbial Identification share by Players 2019 (%)
  • Figure 14. Global Microbial Identification share by Players (Top 3) 2019(%)
  • Figure 15. Global Microbial Identification share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Becton, Dickinson and Company (United States) Revenue, Net Income and Gross profit
  • Figure 18. Becton, Dickinson and Company (United States) Revenue: by Geography 2019
  • 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 2019
  • Figure 21. Danaher Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Danaher Corporation (United States) Revenue: by Geography 2019
  • Figure 23. BioMérieux S.A. (France) Revenue, Net Income and Gross profit
  • Figure 24. BioMérieux S.A. (France) Revenue: by Geography 2019
  • Figure 25. Merck KGaA (Germany) Revenue, Net Income and Gross profit
  • Figure 26. Merck KGaA (Germany) Revenue: by Geography 2019
  • Figure 27. Charles River Laboratories International, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Charles River Laboratories International, Inc. (United States) Revenue: by Geography 2019
  • Figure 29. Bruker Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 30. Bruker Corporation (United States) Revenue: by Geography 2019
  • Figure 31. Shimadzu Corporation (Japan) Revenue, Net Income and Gross profit
  • Figure 32. Shimadzu Corporation (Japan) Revenue: by Geography 2019
  • Figure 33. VWR Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 34. VWR Corporation (United States) Revenue: by Geography 2019
  • Figure 35. Eurofins Scientific S.E. (Luxembourg) Revenue, Net Income and Gross profit
  • Figure 36. Eurofins Scientific S.E. (Luxembourg) Revenue: by Geography 2019
  • Figure 37. GTCR, LLC. (United States) Revenue, Net Income and Gross profit
  • Figure 38. GTCR, LLC. (United States) Revenue: by Geography 2019
  • Figure 39. QIAGEN N.V. (Netherlands) Revenue, Net Income and Gross profit
  • Figure 40. QIAGEN N.V. (Netherlands) Revenue: by Geography 2019
  • Figure 41. Liofilchem s.r.l. (Italy) Revenue, Net Income and Gross profit
  • Figure 42. Liofilchem s.r.l. (Italy) Revenue: by Geography 2019
  • Figure 43. IEH Laboratories & Consulting Group (United States) Revenue, Net Income and Gross profit
  • Figure 44. IEH Laboratories & Consulting Group (United States) Revenue: by Geography 2019
  • Figure 45. STERIS plc Group (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 46. STERIS plc Group (United Kingdom) Revenue: by Geography 2019
  • Figure 47. Global Microbial Identification: by Type USD Million (2020-2025)
  • Figure 48. Global Microbial Identification: by Application USD Million (2020-2025)
  • Figure 49. Global Microbial Identification: by End Users USD Million (2020-2025)
  • Figure 50. Global Microbial Identification: by Method USD Million (2020-2025)
  • Figure 51. South America Microbial Identification Share (%), by Country
  • Figure 52. Asia Pacific Microbial Identification Share (%), by Country
  • Figure 53. Europe Microbial Identification Share (%), by Country
  • Figure 54. MEA Microbial Identification Share (%), by Country
  • Figure 55. North America Microbial Identification Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Becton, Dickinson and Company (United States)
  • Thermo Fisher Scientific Inc. (United States)
  • Danaher Corporation (United States)
  • bioMérieux S.A. (France)
  • Merck KGaA (Germany)
  • Charles River Laboratories International, Inc. (United States)
  • Bruker Corporation (United States)
  • Shimadzu Corporation (Japan)
  • VWR Corporation (United States)
  • Eurofins Scientific S.E. (Luxembourg)
  • GTCR, LLC. (United States)
  • QIAGEN N.V. (Netherlands)
  • Liofilchem s.r.l. (Italy)
  • IEH Laboratories & Consulting Group (United States)
  • STERIS plc Group (United Kingdom)
Additional players considered in the study are as follows:
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