The global microbial identification market is expected to enjoy a valuation of US$ 3.7 Billion in 2022, and further expand at a CAGR of 11.3% between 2022 and 2032, to reach a valuation of around US$ 10.7 Billion by 2032. Rising demand for microbial identification products across various end-user sectors including pharmaceutical & biotechnology, food & beverage water & environment, diagnostic laboratories, and independent research laboratories is a key factor driving the microbial identification market.
Based on product, the bacterial identification systems segment held the largest market share of about 28.4% in the global microbial identification market in 2021 and it is likely to retain its dominance during the forecast period.
Attribute | Key Statistics |
---|---|
Microbial Identification Market Base Value (2021) | US$ 3.3 Billion |
Estimated Market Value (2022) | US$ 3.7 Billion |
Projected Market Value (2032) | US$ 10.7 Billion |
Value-based CAGR (2022 to 2032) | 11.3% |
Market Share of Top 5 Countries | 57.9% |
Since the beginning of time, microorganisms such as bacteria, yeasts, and moulds have been crucial to human survival. Similar to how they were in the past, they are closely related to biotechnology, genetic engineering, medicine, and other industries.
They are utilized for their unique properties that allow for the production of food and food-related products, as well as the decomposition of materials such as lignocellulosic biomass as a source of second-generation ethanol or biogas, amino acids, antibiotics, hormones, and other therapeutic compounds.
At the same time, some genetic characteristics and metabolic capacities of bacteria render them hazardous to both industry (food spoiling) and human health. Therefore, identifying the type of microbial organisms becomes extremely crucial. For this purpose, microbial identification products and methods are being increasingly used across various industries. This is providing a strong impetus to the growth of the global microbial identification market.
The overall microbial identification market held a value share of approximately 78.3% of the global rapid microbiology testing market which stood at ~US$ 4.2 Billion in 2021.
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The global sales of microbial identification products are projected to increase at 11.3% CAGR between 2022 and 2032, in comparison to 10.5% CAGR during the historical period from 2017 to 2021.
The rising prevalence of infectious diseases, growing food safety concerns, and increasing adoption of microbial identification products across various end-use sectors including food & beverage, diagnostic laboratories, the pharmaceutical industry, and independent research laboratories are some of the key factors driving the global identification market.
Similarly, advancements in microbiology and continuous new product launches and approvals are anticipated to expand the microbial identification market during the forecast period.
A key trend seen in the microbial identification market globally is a shift in preference toward genotypic identification methods. This is because the genotypic microbial identification method, which is based on nucleic acid analysis, is more accurate and dependable.
When compared to traditional assays, the use of advanced technologies has made the process of microbial identification more precise, faster, and more accurate. These methods are low-cost and have a high throughput time. For example, the MALDI-TOF method is commonly used because it produces faster results, uses few consumables, and is inexpensive.
The increased prevalence of infectious diseases, rising disposable incomes, and government activities are all factors expected to drive the global microbial identification market.
According to MDPI microorganisms in 2019, about 1400 pathogens are thought to be capable of causing human disease. Pathogenic bacteria alone are responsible for 350 million cases of foodborne illness.
Every year, 48 million foodborne infections occur in the USA, resulting in around 128,000 hospitalizations and 3000 fatalities. Poor water hygiene can cause 1.7 million deaths worldwide each year, with children accounting for nine out of ten deaths and underdeveloped countries accounting for nearly all of the deaths.
Campylobacter jejuni, enterotoxigenic Escherichia coli, Aeromonas spp., Shigella spp. and Vibrio cholerae, Clostridium difficile, enterotoxigenic Bacteroides fragilis, and Cryptosporidium parvum are among the microorganisms responsible for these infections and deaths.
Sequencing approaches have had some advantages compared to media-based methods as well as biochemical testing for microbial identification. While biochemical tests and agar media-based methods are used to identify bacteria and fungi, they were not intended to identify viruses, and can only be used for cultural species. Because sequencing can identify viruses as well as unculturable bacteria, it provides a more robust toolkit.
Advancement in Microbial Identification Technologies to Boost Market Over the Next Ten years
The global microbial identification market is set to expand at an impressive CAGR during the forecast period, owing to initiatives by governments to improve the quality of products like food, beverages, water, and pharmaceuticals, advancements in microbial identification systems, and increasing investments in research and development.
In order to produce customized therapy, spatial mass spectrometry (MS) is a powerful method for acquiring ever-more-detailed insights into proteome changes. New types of tumor-specific proteoforms are being discovered thanks to improvements in MS sensitivity.
The rapidly developing sector of proteogenomics, which has the potential to deepen our understanding of tumour development, is created by the overlap of proteomic data with genomic and transcriptome data. Overall, these developments both confirm the critical role MS-based clinical proteomics plays in cancer research and accelerate its transition to becoming a standard part of clinical diagnosis and treatment.
Robotics, microfluidics, and nanotechnology have aided in the quick advancement of innovative processes by mechanising various components of the PCR assay. These modern approaches, in conjunction with computers and computer programs, are used in real-time PCR, DNA microarrays, and DNA chips.
Hand-held PCR assay instruments are being developed. The PCR and reverse transcription-PCR (RT-PCR) techniques have substantially accelerated and improved the accuracy of human and animal disease diagnosis, particularly for infectious agents that are difficult to identify or validate. The PCR method has enabled the genetic characterization of microbiological isolates to be done cheaply and quickly for identification, typing, and epidemiological comparison.
These aforementioned developments are expected to boost the growth of the microbial identification market during the forecast period.
The strict regulatory approvals and turnaround time can hamper the market growth of the microbial identification market during the forecast period.
In the clinical laboratory, matrix-assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF MS) is replacing older approaches for identifying bacteria. This has resulted in advancements in clinical care, such as better diagnosing infections caused by relatively rare species and shorter time to diagnosis. In many circumstances, this results in a shorter time for suitable therapy and even a shorter period of hospital stay.
This, however, comes with limitations such as inherent commonalities between organisms and a limited amount of spectra in the database, species discrimination, and misidentification can occur. These problems occur on a relatively low frequency and are usually correctable with additional testing.
Inadequate sample size, non-homogeneous distribution of microbes in most dietary matrices and habitats, and the influence of non-random sampling can all lead to inaccurate findings. Furthermore, although microbiological testing results frequently identify outcomes, they do not always show the related sources or controls of contamination.
These factors cumulatively propose a negative effect on the developmental growth of the microbial identification market.
Availability of Advanced Microbial Identification Solutions Driving Market in the USA
The USA is likely to account for the largest market share of around 34.5% in the global microbial identification market in 2022 and further accelerate at a stupendous pace during the next ten years (2022 to 2032).
Growth in the USA microbial identification market is driven by the growing need for improving the quality of food and pharmaceuticals and the availability of advanced testing solutions like the Sherlock Microbial Identification System (MIS).
The Sherlock Microbial Identification System (MIS) was launched in 1991 as a rapid, accurate, and affordable system for identifying over 1,500 microbial species, fatty acids, and PLFAs using GC-FAME analysis, and has since gained increasing recognition from the USA Centers for Disease Control and Prevention (CDC).
It is being acknowledged by the various regulatory bodies for the identification of aerobic bacteria and has received approval from AOAC INTERNATIONAL for the identification of Bacillus anthracis, the anthrax pathogen. The growing popularity of these products for microbial identification will continue to expand the microbial identification market within the country during the forecast period.
Similarly, increasing investments in research and development, the presence of leading manufacturers, and rising government support will push the demand for microbial identification products over the next ten years.
Rising Prevalence of Infectious Diseases Pushing Demand in China
China held approximately 51.3% share in the East Asia microbial identification market in 2021 and is projected to expand at a lucrative CAGR of 10.1% during the forecast period. The increasing prevalence of infectious diseases, growing awareness among people, and increasing government initiatives for addressing food safety concerns are driving the market in China.
Similarly, the growing number of FDA approvals in China, increasing technological advancements, and the large presence of leading manufacturers will boost the market in the country during the next ten years.
Advancements in Microbial Identification Products and Methods to Boost Market in Germany
As per FMI, the microbial identification market in Germany is set to exhibit a CAGR of nearly 9.3% during the forecast period, making it one of the leading markets across Europe.
The pharmaceutical industry's intense focus on research operations to develop innovative therapies and vaccines will support the expansion of the microbial identification market in Germany during the projected period.
Similarly, the continuous introduction of new microbial identification products by leading players like Bruker is likely to play a key role in expanding the market across Germany. For instance, Bruker introduced new products and methods for the leading MALDI Biotyper® (MBT) platform at the 31st European Congress of Clinical Microbiology & Infectious Diseases in July 2021.
With recent advancements in microbial identification methods, the country is set to propel the global sales of the microbial identification market over the forecasted years.
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Bacterial identification Systems Remain the Highly-Sought After Product in the Market
The bacterial identification systems segment held a market share of about 28.4% in the global market in 2021 and it is expected to grow at a CAGR of 13.8% during the forecast period. This can be attributed to the rising adoption of bacterial identification systems across various end-use sectors.
Quick and precise detection of pathogenic microorganisms isolated from food samples is critical for both food quality assurance and tracing bacterial pathogen outbreaks within the food chain. Automated microbial identification technologies are becoming increasingly used in clinical and food microbiology laboratories. These systems have several significant advantages over traditional approaches, including reduced labour, reduced human error, higher sample throughput, and faster test result turnaround times.
Phenotypic Methods are Mostly Employed by End Users
The phenotypic methods segment held a revenue share of 58.7% in the global microbial identification market in 2021 and it is expected to grow at an impressive growth rate during the forecast period. This can be attributed to the rising usage of phenotypic methods for microbial identification purposes.
Phenotypic methods use expressed gene products to distinguish among different microorganisms. These methods provide essential information that enables microbiologists to make informed decisions regarding product risk and recognize changes in environmental microflora.
Phenotypic microbial identification methods are mostly used in clinical, food, water, and pharmaceutical microbiological testing laboratories.
The usage of Microbial Identification Products Remain High for Diagnostic Applications
The diagnostic application segment held the highest market share value of 32.5% in the microbial identification market in 2021 and it is likely to retain its dominance during the assessment period. The increasing prevalence of acute and chronic infections and food-borne diseases is a key factor encouraging the adoption of microbial identification products and methods for diagnostic purposes.
The pharmaceutical and Biotechnology Industry Witnessing the Highest Demand for Microbial Identification
As per FMI, the pharmaceutical and biotechnology industry holds the highest market share value of 24.4% in 2021 and it is poised to expand at a strong pace during the assessment period. Increasing research and developmental activities and product innovations by pharmaceutical manufacturers are propelling sales of the overall microbial identification market.
With several competitors in the microbial identification production sphere, the overall market is fragmented. To meet consumer demand and expand their customer base, these companies are implementing methods such as mergers and acquisitions, partnerships and collaborations, and new product launches.
Instances of key developmental strategies by the industry players in the microbial identification market are given below:
Attribute | Details |
---|---|
Estimated Market Size (2022) | US$ 3.7 Billion |
Projected Market Size (2032) | US$ 10.7 Billion |
Anticipated Market Size (2022 to 2032) | 11.3% |
Forecast Period | 2017 to 2021 |
Historical Data Available for | 2022 to 2032 |
Market Analysis | US$ Million for Value |
Key Regions Covered | North America, Latin America, Europe, South Asia, East Asia, Oceania, and Middle East & Africa |
Key Countries Covered | USA, Canada, Brazil, Mexico, Argentina, UK, Germany, Italy, Russia, Spain, France, BENELUX, India, Thailand, Indonesia, Malaysia, Japan, China, South Korea, Australia, New Zealand, Turkey, GCC Countries, South Africa, and North Africa |
Key Market Segments Covered | Product, Method, Application, End User, and Region |
Key Companies Profiled |
|
The global microbial identification market size reached US$ 3.3 Billion in 2021 and is likely to touch a valuation of US$ 3.7 Billion by 2032.
The microbial identification market is expected to reach US$ 10.7 Billion by the end of 2032, with overall sales growing at 11.3% CAGR throughout the forecast period.
High prevalence of infectious and food-borne diseases, novel product development, and increasing prevalence of antimicrobial resistance cases, are some of the key trends in this market.
The USA, India, China, Germany, and Japan are expected to drive demand for the microbial identification products.
The USA accounted for about 88.9% of the North American microbial identification market in 2021.
Demand for microbial identification in Europe is expected to grow at 11.0% CAGR over the next ten years.
The overall microbial identification market in Latin America is anticipated to expand at 10.7% CAGR during the forecast period.
The MEA microbial identification market is expected to register a growth of 8.8% over the next ten years.
China, the USA, and Germany are the key producers of microbial identification products.
Danaher Corporation, Bruker Corporation, Thermo Fisher Scientific, Siemens Healthineers, Shimadzu Corporation, QIAGEN N.V, bioMerieux S.A., Merck & Co Inc., Biolog, Inc., Becton, Dickinson and Company, Beckman Coulter, Wickham Laboratories, VWR International, LLC., MIDI Inc., Siemens Healthcare, and Charles River Laboratories Inc. are some of the key players in the microbial identification market.
1. Executive Summary | Microbial Identification Market
1.1. Global Market Outlook
1.2. Demand Side Trends
1.3. Supply Side Trends
1.4. Technology Roadmap
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
2.3. Inclusions and Exclusions
3. Key Market Trends
3.1. Key Trends Impacting the Market
3.2. Product Innovation / Development Trends
4. Key Success Factors
4.1. Disease Epidemiology
4.2. Key Strategies by Manufacturers
4.3. Product USPs
4.4. Product Adoption Analysis
4.5. Regulatory Scenario
4.6. Reimbursement Landscape
4.7. PESTEL analysis
4.8. Porter’s analysis
5. Market Background
5.1. Macro-Economic Factors
5.1.1. Global GDP Growth Outlook
5.1.2. Global Healthcare GDP Growth Overview
5.1.3. Global Rapid Microbiology Testing Market Overview
5.2. Forecast Factors - Relevance & Impact
5.2.1. Rising Incidence of Infectious Diseases
5.2.2. Government Initiatives and Funding to Detect and Control Antimicrobial-Resistant Species
5.2.3. Increasing Concerns with Food Safety
5.2.4. New Product Launches
5.2.5. Growing Adoption of Automated Systems
5.2.6. Regulatory Impositions
5.2.7. Developments in Microbial Studies
5.2.8. Rising Drug Development Activities
5.3. Market Dynamics
5.3.1. Drivers
5.3.2. Restraints
5.3.3. Opportunity Analysis
6. COVID-19 Crisis - Crisis Analysis
6.1. COVID-19 and Impact Analysis
6.1.1. By Product
6.1.2. By Methods
6.1.3. by End User
6.1.4. By Region
6.2. 2021 Market Scenario
7. Global Market Volume (Units) Analysis 2017 to 2021 and Forecast, 2022 to 2032
7.1. Historical Market Volume (Units) Analysis, 2017 to 2021
7.2. Current and Future Market Volume (Units) Projections, 2022 to 2032
7.2.1. Y-o-Y Growth Trend Analysis
8. Global Market - Pricing Analysis
8.1. Regional Pricing Analysis By Product
8.2. Pricing Break-up
8.2.1. Manufacturer-Level Pricing
8.2.2. Distributor Level Pricing
8.3. Global Average Pricing Analysis Benchmark
8.4. Pricing Assumptions
9. Global Market Demand (in Value or Size in US$ Million) Analysis 2017 to 2021 and Forecast, 2022 to 2032
9.1. Historical Market Value (US$ Million) Analysis, 2017 to 2021
9.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032
9.2.1. Y-o-Y Growth Trend Analysis
9.2.2. Absolute $ Opportunity Analysis
10. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Product
10.1. Introduction / Key Findings
10.2. Historical Market Size (US$ Million) and Volume (Units) Analysis By Product, 2017 to 2021
10.3. Current and Future Market Size (US$ Million) and Volume (Units) Analysis and Forecast By Product, 2022 to 2032
10.3.1. Bacterial Identification Systems
10.3.2. Microbial Enumeration Systems
10.3.3. Bacterial Resistance Identification Systems
10.3.4. Microbiology Analyzers
10.3.5. Parasitology Analyzers
10.4. Market Attractiveness Analysis By Product
11. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Methods
11.1. Introduction / Key Findings
11.2. Historical Market Size (US$ Million) Analysis By Methods, 2017 to 2021
11.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Methods, 2022 to 2032
11.3.1. Phenotypic methods
11.3.2. Proteotypic Methods
11.3.3. Genotypic methods
11.4. Market Attractiveness Analysis By Methods
12. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Application
12.1. Introduction / Key Findings
12.2. Historical Market Size (US$ Million) Analysis By Application, 2017 to 2021
12.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Application, 2022 to 2032
12.3.1. Diagnostic Application
12.3.2. Environmental Application
12.3.3. Food and Beverages Testing
12.3.4. Pharmaceutical Application
12.3.5. Others
12.4. Market Attractiveness Analysis By Application
13. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by End User
13.1. Introduction / Key Findings
13.2. Historical Market Size (US$ Million) Analysis, by End User, 2017 to 2021
13.3. Current and Future Market Size (US$ Million) Analysis and Forecast by End User, 2022 to 2032
13.3.1. Pharmaceutical and Biotechnology Industry
13.3.2. Food and Beverage Industry
13.3.3. Water and Environment Industry
13.3.4. Independent Research Laboratories
13.3.5. Diagnostic Laboratories
13.3.6. Hospitals
13.3.7. Others
13.4. Market Attractiveness Analysis by End User
14. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, by Region
14.1. Introduction
14.2. Historical Market Size (US$ Million) and Volume (Units) Analysis By Region, 2017 to 2021
14.3. Current Market and Future Market Size (US$ Million) and Volume (Units) Analysis and Forecast By Region, 2022 to 2032
14.3.1. North America
14.3.2. Latin America
14.3.3. Europe
14.3.4. East Asia
14.3.5. South Asia
14.3.6. Oceania
14.3.7. Middle East and Africa (MEA)
14.4. Market Attractiveness Analysis By Region
15. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
15.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
15.4.1. By Country
15.4.1.1. United States of America
15.4.1.2. Canada
15.4.2. By Product
15.4.3. By Methods
15.4.4. By Application
15.4.5. by End User
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Product
15.5.3. By Methods
15.5.4. By Application
15.5.5. by End User
15.6. Market Trends
15.7. Key Market Participants - Intensity Mapping
15.8. Drivers and Restraints - Impact Analysis
15.9. Country-Level Analysis & Forecast
15.9.1. USA Market Analysis
15.9.1.1. .Introduction
15.9.1.2. Market Analysis and Forecast by Market Taxonomy
15.9.1.2.1. By Product
15.9.1.2.2. By Methods
15.9.1.2.3. By Application
15.9.1.2.4. by End User
15.9.2. Canada Market Analysis
15.9.2.1. Introduction
15.9.2.2. Market Analysis and Forecast by Market Taxonomy
15.9.2.2.1. By Product
15.9.2.2.2. By Methods
15.9.2.2.3. By Application
15.9.2.2.4. by End User
16. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
16.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
16.4.1. By Country
16.4.1.1. Mexico
16.4.1.2. Brazil
16.4.1.3. Argentina
16.4.1.4. Rest of Latin America
16.4.2. By Product
16.4.3. By Methods
16.4.4. By Application
16.4.5. by End User
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Product
16.5.3. By Methods
16.5.4. By Application
16.5.5. by End User
16.6. Market Trends
16.7. Key Market Participants - Intensity Mapping
16.8. Drivers and Restraints - Impact Analysis
16.9. Country-Level Analysis & Forecast
16.9.1. Mexico Market Analysis
16.9.1.1. Introduction
16.9.1.2. Market Analysis and Forecast by Market Taxonomy
16.9.1.2.1. By Product
16.9.1.2.2. By Methods
16.9.1.2.3. By Application
16.9.1.2.4. by End User
16.9.2. Brazil Market Analysis
16.9.2.1. Introduction
16.9.2.2. Market Analysis and Forecast by Market Taxonomy
16.9.2.2.1. By Product
16.9.2.2.2. By Methods
16.9.2.2.3. By Application
16.9.2.2.4. by End User
16.9.3. Argentina Market Analysis
16.9.3.1. Introduction
16.9.3.2. Market Analysis and Forecast by Market Taxonomy
16.9.3.2.1. By Product
16.9.3.2.2. By Methods
16.9.3.2.3. By Application
16.9.3.2.4. by End User
17. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
17.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
17.4.1. By Country
17.4.1.1. Germany
17.4.1.2. Italy
17.4.1.3. France
17.4.1.4. United Kingdom
17.4.1.5. Spain
17.4.1.6. BENELUX
17.4.1.7. Russia
17.4.1.8. Rest of Europe
17.4.2. By Product
17.4.3. By Methods
17.4.4. By Application
17.4.5. by End User
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Product
17.5.3. By Methods
17.5.4. By Application
17.5.5. by End User
17.6. Market Trends
17.7. Key Market Participants - Intensity Mapping
17.8. Drivers and Restraints - Impact Analysis
17.9. Country-Level Analysis & Forecast
17.9.1. Germany Market Analysis
17.9.1.1. Introduction
17.9.1.2. Market Analysis and Forecast by Market Taxonomy
17.9.1.2.1. By Product
17.9.1.2.2. By Methods
17.9.1.2.3. By Application
17.9.1.2.4. by End User
17.9.2. Italy Market Analysis
17.9.2.1. Introduction
17.9.2.2. Market Analysis and Forecast by Market Taxonomy
17.9.2.2.1. By Product
17.9.2.2.2. By Methods
17.9.2.2.3. By Application
17.9.2.2.4. by End User
17.9.3. France Market Analysis
17.9.3.1. Introduction
17.9.3.2. Market Analysis and Forecast by Market Taxonomy
17.9.3.2.1. By Product
17.9.3.2.2. By Methods
17.9.3.2.3. By Application
17.9.3.2.4. by End User
17.9.4. UK Market Analysis
17.9.4.1. Introduction
17.9.4.2. Market Analysis and Forecast by Market Taxonomy
17.9.4.2.1. By Product
17.9.4.2.2. By Methods
17.9.4.2.3. By Application
17.9.4.2.4. by End User
17.9.5. Spain Market Analysis
17.9.5.1. Introduction
17.9.5.2. Market Analysis and Forecast by Market Taxonomy
17.9.5.2.1. By Product
17.9.5.2.2. By Methods
17.9.5.2.3. By Application
17.9.5.2.4. by End User
17.9.6. BENELUX Market Analysis
17.9.6.1. Introduction
17.9.6.2. Market Analysis and Forecast by Market Taxonomy
17.9.6.2.1. By Product
17.9.6.2.2. By Methods
17.9.6.2.3. By Application
17.9.6.2.4. by End User
17.9.7. Russia Market Analysis
17.9.7.1. Introduction
17.9.7.2. Market Analysis and Forecast by Market Taxonomy
17.9.7.2.1. By Product
17.9.7.2.2. By Methods
17.9.7.2.3. By Application
17.9.7.2.4. by End User
18. South Asia Market Analysis 2017 to 2021 and Forecast 2022 to 2032
18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
18.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
18.4.1. By Country
18.4.1.1. India
18.4.1.2. Indonesia
18.4.1.3. Malaysia
18.4.1.4. Thailand
18.4.1.5. Rest of South Asia
18.4.2. By Product
18.4.3. By Methods
18.4.4. By Application
18.4.5. by End User
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Product
18.5.3. By Methods
18.5.4. By Application
18.5.5. by End User
18.6. Market Trends
18.7. Key Market Participants - Intensity Mapping
18.8. Drivers and Restraints - Impact Analysis
18.9. Country-Level Analysis & Forecast
18.9.1. India Market Analysis
18.9.1.1. Introduction
18.9.1.2. Market Analysis and Forecast by Market Taxonomy
18.9.1.2.1. By Product
18.9.1.2.2. By Methods
18.9.1.2.3. By Application
18.9.1.2.4. by End User
18.9.2. Indonesia Market Analysis
18.9.2.1. Introduction
18.9.2.2. Market Analysis and Forecast by Market Taxonomy
18.9.2.2.1. By Product
18.9.2.2.2. By Methods
18.9.2.2.3. By Application
18.9.2.2.4. by End User
18.9.3. Malaysia Market Analysis
18.9.3.1. Introduction
18.9.3.2. Market Analysis and Forecast by Market Taxonomy
18.9.3.2.1. By Product
18.9.3.2.2. By Methods
18.9.3.2.3. By Application
18.9.3.2.4. by End User
18.9.4. Thailand Market Analysis
18.9.4.1. Introduction
18.9.4.2. Market Analysis and Forecast by Market Taxonomy
18.9.4.2.1. By Product
18.9.4.2.2. By Methods
18.9.4.2.3. By Application
18.9.4.2.4. by End User
19. East Asia Market Analysis 2017 to 2021 and Forecast 2022 to 2032
19.1. Introduction
19.2. Pricing Analysis
19.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
19.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
19.4.1. By Country
19.4.1.1. China
19.4.1.2. Japan
19.4.1.3. South Korea
19.4.2. By Product
19.4.3. By Methods
19.4.4. By Application
19.4.5. by End User
19.5. Market Attractiveness Analysis
19.5.1. By Country
19.5.2. By Product
19.5.3. By Methods
19.5.4. By Application
19.5.5. by End User
19.6. Market Trends
19.7. Key Market Participants - Intensity Mapping
19.8. Drivers and Restraints - Impact Analysis
19.9. Country-Level Analysis & Forecast
19.9.1. China Market Analysis
19.9.1.1. Introduction
19.9.1.2. Market Analysis and Forecast by Market Taxonomy
19.9.1.2.1. By Product
19.9.1.2.2. By Methods
19.9.1.2.3. By Application
19.9.1.2.4. by End User
19.9.2. Japan Market Analysis
19.9.2.1. Introduction
19.9.2.2. Market Analysis and Forecast by Market Taxonomy
19.9.2.2.1. By Product
19.9.2.2.2. By Methods
19.9.2.2.3. By Application
19.9.2.2.4. by End User
19.9.3. South Korea Market Analysis
19.9.3.1. Introduction
19.9.3.2. Market Analysis and Forecast by Market Taxonomy
19.9.3.2.1. By Product
19.9.3.2.2. By Methods
19.9.3.2.3. By Application
19.9.3.2.4. by End User
20. Oceania Market 2017 to 2021 and Forecast 2022 to 2032
20.1. Introduction
20.2. Pricing Analysis
20.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
20.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
20.4.1. By Country
20.4.1.1. Australia
20.4.1.2. New Zealand
20.4.2. By Product
20.4.3. By Methods
20.4.4. By Application
20.4.5. by End User
20.5. Market Attractiveness Analysis
20.5.1. By Country
20.5.2. By Product
20.5.3. By Methods
20.5.4. By Application
20.5.5. by End User
20.6. Key Market Participants - Intensity Mapping
20.7. Drivers and Restraints - Impact Analysis
20.8. Country-Level Analysis & Forecast
20.8.1. Australia Market Analysis
20.8.1.1. Introduction
20.8.1.2. Market Analysis and Forecast by Market Taxonomy
20.8.1.2.1. By Product
20.8.1.2.2. By Methods
20.8.1.2.3. By Application
20.8.1.2.4. by End User
20.8.2. New Zealand Market Analysis
20.8.2.1. Introduction
20.8.2.2. Market Analysis and Forecast by Market Taxonomy
20.8.2.2.1. By Product
20.8.2.2.2. By Methods
20.8.2.2.3. By Application
20.8.2.2.4. by End User
21. Middle East and Africa (MEA) Market Analysis 2017 to 2021 and Forecast 2022 to 2032
21.1. Introduction
21.2. Pricing Analysis
21.3. Historical Market Size (US$ Million) and Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021
21.4. Current and Future Market Size (US$ Million) and Volume (Units) Forecast By Market Taxonomy, 2022 to 2032
21.4.1. By Country
21.4.1.1. GCC Countries
21.4.1.2. Turkey
21.4.1.3. South Africa
21.4.1.4. North Africa
21.4.1.5. Rest of Middle East and Africa
21.4.2. By Product
21.4.3. By Methods
21.4.4. By Application
21.4.5. by End User
21.5. Market Attractiveness Analysis
21.5.1. By Country
21.5.2. By Product
21.5.3. By Methods
21.5.4. By Application
21.5.5. by End User
21.6. Market Trends
21.7. Key Market Participants - Intensity Mapping
21.8. Drivers and Restraints - Impact Analysis
21.9. Country-Level Analysis & Forecast
21.9.1. GCC Countries Market Analysis
21.9.1.1. Introduction
21.9.1.2. Market Analysis and Forecast by Market Taxonomy
21.9.1.2.1. By Product
21.9.1.2.2. By Methods
21.9.1.2.3. By Application
21.9.1.2.4. by End User
21.9.2. Turkey Market Analysis
21.9.2.1. Introduction
21.9.2.2. Market Analysis and Forecast by Market Taxonomy
21.9.2.2.1. By Product
21.9.2.2.2. By Methods
21.9.2.2.3. By Application
21.9.2.2.4. by End User
21.9.3. South Africa Market Analysis
21.9.3.1. Introduction
21.9.3.2. Market Analysis and Forecast by Market Taxonomy
21.9.3.2.1. By Product
21.9.3.2.2. By Methods
21.9.3.2.3. By Application
21.9.3.2.4. by End User
21.9.4. North Africa Market Analysis
21.9.4.1. Introduction
21.9.4.2. Market Analysis and Forecast by Market Taxonomy
21.9.4.2.1. By Product
21.9.4.2.2. By Methods
21.9.4.2.3. By Application
21.9.4.2.4. by End User
22. Market Structure Analysis
22.1. Market Analysis by Tier of Companies
22.2. Market Share Analysis of Top Players
22.3. Market Presence Analysis
23. Competition Analysis
23.1. Competition Dashboard
23.2. Competition Benchmarking
23.3. Competition Deep Dive
23.3.1. Danaher Corporation
23.3.1.1. Overview
23.3.1.2. Product Portfolio
23.3.1.3. Profitability by Market Segments (Product/Channel/Region)
23.3.1.4. Sales Footprint
23.3.1.5. SWOT Analysis
23.3.1.6. Key Financials
23.3.1.7. Strategy Overview
23.3.2. Bruker Corporation
23.3.2.1. Overview
23.3.2.2. Product Portfolio
23.3.2.3. Profitability by Market Segments (Product/Channel/Region)
23.3.2.4. Sales Footprint
23.3.2.5. SWOT Analysis
23.3.2.6. Key Financials
23.3.2.7. Strategy Overview
23.3.3. Thermo Fisher Scientific
23.3.3.1. Overview
23.3.3.2. Product Portfolio
23.3.3.3. Profitability by Market Segments (Product/Channel/Region)
23.3.3.4. Sales Footprint
23.3.3.5. SWOT Analysis
23.3.3.6. Key Financials
23.3.3.7. Strategy Overview
23.3.4. Siemens Healthineers
23.3.4.1. Overview
23.3.4.2. Product Portfolio
23.3.4.3. Profitability by Market Segments (Product/Channel/Region)
23.3.4.4. Sales Footprint
23.3.4.5. SWOT Analysis
23.3.4.6. Key Financials
23.3.4.7. Strategy Overview
23.3.5. Shimadzu Corporation
23.3.5.1. Overview
23.3.5.2. Product Portfolio
23.3.5.3. Profitability by Market Segments (Product/Channel/Region)
23.3.5.4. Sales Footprint
23.3.5.5. SWOT Analysis
23.3.5.6. Key Financials
23.3.5.7. Strategy Overview
23.3.6. QIAGEN N.V
23.3.6.1. Overview
23.3.6.2. Product Portfolio
23.3.6.3. Profitability by Market Segments (Product/Channel/Region)
23.3.6.4. Sales Footprint
23.3.6.5. SWOT Analysis
23.3.6.6. Key Financials
23.3.6.7. Strategy Overview
23.3.7. bioMerieux S.A.,
23.3.7.1. Overview
23.3.7.2. Product Portfolio
23.3.7.3. Profitability by Market Segments (Product/Channel/Region)
23.3.7.4. Sales Footprint
23.3.7.5. SWOT Analysis
23.3.7.6. Key Financials
23.3.7.7. Strategy Overview
23.3.8. Merck & Co Inc.,
23.3.8.1. Overview
23.3.8.2. Product Portfolio
23.3.8.3. Profitability by Market Segments (Product/Channel/Region)
23.3.8.4. Sales Footprint
23.3.8.5. SWOT Analysis
23.3.8.6. Key Financials
23.3.8.7. Strategy Overview
23.3.9. Biolog, Inc.,
23.3.9.1. Overview
23.3.9.2. Product Portfolio
23.3.9.3. Profitability by Market Segments (Product/Channel/Region)
23.3.9.4. Sales Footprint
23.3.9.5. SWOT Analysis
23.3.9.6. Key Financials
23.3.9.7. Strategy Overview
23.3.10. Becton, Dickinson, and Company
23.3.10.1. Overview
23.3.10.2. Product Portfolio
23.3.10.3. Profitability by Market Segments (Product/Channel/Region)
23.3.10.4. Sales Footprint
23.3.10.5. SWOT Analysis
23.3.10.6. Key Financials
23.3.10.7. Strategy Overview
23.3.11. Beckman Coulter
23.3.11.1. Overview
23.3.11.2. Product Portfolio
23.3.11.3. Profitability by Market Segments (Product/Channel/Region)
23.3.11.4. Sales Footprint
23.3.11.5. SWOT Analysis
23.3.11.6. Key Financials
23.3.11.7. Strategy Overview
23.3.12. Wickham Laboratories
23.3.12.1. Overview
23.3.12.2. Product Portfolio
23.3.12.3. Profitability by Market Segments (Product/Channel/Region)
23.3.12.4. Sales Footprint
23.3.12.5. SWOT Analysis
23.3.12.6. Key Financials
23.3.12.7. Strategy Overview
23.3.13. VWR International, LLC.
23.3.13.1. Overview
23.3.13.2. Product Portfolio
23.3.13.3. Profitability by Market Segments (Product/Channel/Region)
23.3.13.4. Sales Footprint
23.3.13.5. SWOT Analysis
23.3.13.6. Key Financials
23.3.13.7. Strategy Overview
23.3.14. MIDI Inc.
23.3.14.1. Overview
23.3.14.2. Product Portfolio
23.3.14.3. Profitability by Market Segments (Product/Channel/Region)
23.3.14.4. Sales Footprint
23.3.14.5. SWOT Analysis
23.3.14.6. Key Financials
23.3.14.7. Strategy Overview
23.3.15. Siemens Healthcare
23.3.15.1. Overview
23.3.15.2. Product Portfolio
23.3.15.3. Profitability by Market Segments (Product/Channel/Region)
23.3.15.4. Sales Footprint
23.3.15.5. SWOT Analysis
23.3.15.6. Key Financials
23.3.15.7. Strategy Overview
23.3.16. Charles River Laboratories Inc.
23.3.16.1. Overview
23.3.16.2. Product Portfolio
23.3.16.3. Profitability by Market Segments (Product/Channel/Region)
23.3.16.4. Sales Footprint
23.3.16.5. SWOT Analysis
23.3.16.6. Key Financials
23.3.16.7. Strategy Overview
24. Assumptions and Acronyms Used
25. Research Methodology
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