Veterinary Antimicrobial Susceptibility Testing Market Size, Share & Trends Analysis Report By Animal Type (Production, Companion), By Product (Accessories & Consumables, Automated AST Instruments), By End-use, By Region, And Segment Forecasts, 2024 - 203

Veterinary Antimicrobial Susceptibility Testing Market Size, Share & Trends Analysis Report By Animal Type (Production, Companion), By Product (Accessories & Consumables, Automated AST Instruments), By End-use, By Region, And Segment Forecasts, 2024 - 2030


Veterinary Antimicrobial Susceptibility Testing Market Growth & Trends

The global veterinary antimicrobial susceptibility testing market size is expected to reach USD 1.50 billion by 2030, registering a CAGR of 5.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. Rising need to curtail AMR in food animals and zoonosis are key drivers for this market. Animals used for food are most susceptible to Antimicrobial Resistance (AMR) as to ensure a quality yield, the animal owners often feed them. These drugs, although they ensure that the animals remain healthy from any infection, may lead to the development of resistance from a variety of microbes over some time. AMR is a growing occurrence in food animals, threatening their health and possibly human health.

A January 2024 study in Nature Communications explored the antimicrobial resistance in food animals in various countries like China, India, Brazil, Chile, and others. Drug resistance of different antimicrobials was studied in species like E.coli & non-typhoidal Salmonella. The study concluded tetracycline had the highest resistance prevalence of 59% in E.coli and 54% in non-typhoidal Salmonella. However, the lowest resistance prevalence was found for cefotaxime, i.e., 33% & 19%, respectively, in E.coli & non-typhoidal Salmonella. The surveillance study also classified the AMR into regional locations. For instance, pathogens from 78% of locations studied in African & South American regions were resistant to penicillin or tetracyclines. On the other hand, in Asia, pathogens from 77% of locations were resistant to penicillin or sulphonamides.

This highlights the significant prevalence of antimicrobial resistance in food animals across the globe, increasing the emphasis on the urgent need for effective antimicrobial susceptibility testing products. As AMR threatens animal and human health, a rise in demand for appropriate testing solutions to combat this resistance will be experienced. The demand for advanced testing technologies among veterinary professionals to accurately assess antimicrobial susceptibility patterns will increase, driving the market growth.

Artificial Intelligence (AI) is another potential driving factor for the market owing to industry developments focused on integrating AI into veterinary AST. For instance, in November 2023, the University of Oxford's Oxford Martin Programme on Antimicrobial Resistance Testing displayed AI's capability of detecting antimicrobial resistance in only 30 minutes. Such developments paint a promising picture of market growth.

Veterinary Antimicrobial Susceptibility Testing Market Report Highlights
  • Based on animal type, the production animal segment dominated the market with a revenue share of over 66.7% in 2023 owing to rising consumption of animal products and usage of antibiotics in food animals
  • Based on product, automated AST instruments segment is attributed to the largest revenue share in 2023 owing to the rising adoption of these instruments in various veterinary laboratories and institutes as well as their higher cost in comparison to other products.
  • Based on end use, the veterinary reference laboratories segment held the highest revenue share of 58.14% in 2023 as more number of AST samples are tested in these facilities as per directions from the veterinary professionals.
  • Asia Pacific held the largest revenue share of 34.51% of the global market in 2023. This can be attributed to the presence of the highest amount of livestock population in this region.
  • Factors such as the rising regulatory & training initiatives among leading veterinary organizations, the growing potential of Artificial Intelligence (AI) in AST, the rising livestock population, and growing antimicrobial resistance (AMR) among animals are expected to drive market growth.
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Chapter 1. Research Methodology And Scope
1.1. Market Segmentation & Scope
1.1.1. Segment Definitions
1.1.2. Product
1.1.3. Animal Type
1.2. Regional Scope
1.3. Estimates And Forecast Timeline
1.4. Objectives
1.4.1. Objective-1
1.4.2. Objective-2
1.4.3. Objective-3
1.5. Research Methodology
1.6. Information Procurement
1.6.1. Purchased Database
1.6.2. GVR’s Internal Database
1.6.3. Secondary Sources
1.6.4. Primary Research
1.7. Information Or Data Analysis
1.7.1. Data Analysis Models
1.8. Market Formulation & Validation
1.9. Model Details
1.9.1. Commodity Flow Analysis
1.9.2. Parent Market Analysis
1.10. List Of Secondary Sources
1.11. List Of Abbreviations
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Veterinary Antimicrobial Susceptibility Testing Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent Market Outlook
3.1.2. Related/Ancillary Market Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.1.1. Rising Regulatory & Training Initiatives among Leading Veterinary Organizations
3.2.1.2. Growing Potential of Artificial Intelligence (AI) in AST
3.2.1.3. Rising Livestock Population
3.2.1.4. Growing Antimicrobial Resistance (AMR) among Animals
3.2.2. Market Restraint Analysis
3.2.2.1. High Cost of Testing
3.2.2.2. Availability of Substitute Testing Products
3.3. Veterinary Antimicrobial Susceptibility Testing Market Analysis Tools
3.3.1. Industry Analysis - Porter’s
3.3.1.1. Supplier Power
3.3.1.2. Buyer Power
3.3.1.3. Substitution Threat
3.3.1.4. Threat of New Entrant
3.3.1.5. Competitive Rivalry
3.3.2. PESTEL Analysis
3.3.3. Porters Analysis
3.3.4. Pricing Analysis
3.3.5. COVID-19 Impact Analysis
Chapter 4. Veterinary Antimicrobial Susceptibility Testing Market: Animal Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Global Veterinary Antimicrobial Susceptibility Testing Market Movement Analysis
4.3. Veterinary Antimicrobial Susceptibility Testing Market Size & Trend Analysis, By Animal Type, 2018 - 2030 (USD Million)
4.3.1. Production Animal
4.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.1.2. Cattle
4.3.1.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.1.3. Poultry
4.3.1.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.1.4. Pigs
4.3.1.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.1.5. Others (sheep, goats, veal)
4.3.1.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.2. Companion Animal
4.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.2.2. Dogs
4.3.2.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.2.3. Cats
4.3.2.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.2.4. Horses
4.3.2.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
4.3.2.5. Others (reptiles, birds, turtle, etc., aquaculture)
4.3.2.5.1. Market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 5. Veterinary Antimicrobial Susceptibility Testing Market: Product Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Global Veterinary Antimicrobial Susceptibility Testing Market Movement Analysis
5.3. Veterinary Antimicrobial Susceptibility Testing Market Size & Trend Analysis, Product, 2018 - 2030 (USD Million)
5.3.1. Disks & Plates
5.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
5.3.2. Culture Media
5.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
5.3.3. Accessories & Consumables
5.3.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
5.3.4. Automated AST Instruments
5.3.4.1. Market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 6. Veterinary Antimicrobial Susceptibility Testing Market: End Use Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Movement Analysis
6.3. Veterinary Antimicrobial Susceptibility Testing Market Size & Trend Analysis, By End Use, 2018 - 2030 (USD Million)
6.3.1. Veterinary Reference Laboratories
6.3.1.1. Market estimates and forecasts 2018 to 2030 (USD Million)
6.3.2. Veterinary Research Laboratories
6.3.2.1. Market estimates and forecasts 2018 to 2030 (USD Million)
6.3.3. Others (vet hospitals, pet clinics, point of care testing)
6.3.3.1. Market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 7. Veterinary Antimicrobial Susceptibility Testing Market: Regional Estimates & Trend Analysis, by Animal Type, Product, & End-use
7.1. Regional Dashboard
7.2. Market Size & Forecasts and Trend Analysis, 2018 to 2030
7.3. North America
7.3.1. Market Estimates and Forecast, 2018 - 2030 (USD Million)
7.3.2. U.S.
7.3.2.1. Key Country Dynamics
7.3.2.2. Competitive Scenario
7.3.2.3. U.S. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.3.3. Canada
7.3.3.1. Key Country Dynamics
7.3.3.2. Competitive Scenario
7.3.3.3. Canada Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4. Europe
7.4.1. UK
7.4.1.1. Key Country Dynamics
7.4.1.2. Competitive Scenario
7.4.1.3. UK Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.2. Germany
7.4.2.1. Key Country Dynamics
7.4.2.2. Competitive Scenario
7.4.2.3. Germany Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.3. France
7.4.3.1. Key Country Dynamics
7.4.3.2. Competitive Scenario
7.4.3.3. France Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.4. Italy
7.4.4.1. Key Country Dynamics
7.4.4.2. Competitive Scenario
7.4.4.3. Italy Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.5. Spain
7.4.5.1. Key Country Dynamics
7.4.5.2. Competitive Scenario
7.4.5.3. Spain Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.6. Sweden
7.4.6.1. Key Country Dynamics
7.4.6.2. Competitive Scenario
7.4.6.3. Russia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.7. Denmark
7.4.7.1. Key Country Dynamics
7.4.7.2. Competitive Scenario
7.4.7.3. Sweden Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.4.8. Norway
7.4.8.1. Key Country Dynamics
7.4.8.2. Competitive Scenario
7.4.8.3. Netherlands Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.5. Asia Pacific
7.5.1. Japan
7.5.1.1. Key Country Dynamics
7.5.1.2. Competitive Scenario
7.5.1.3. Japan Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.5.2. India
7.5.2.1. Key Country Dynamics
7.5.2.2. Competitive Scenario
7.5.2.3. India Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.5.3. China
7.5.3.1. Key Country Dynamics
7.5.3.2. Competitive Scenario
7.5.3.3. China Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.5.4. South Korea
7.5.4.1. Key Country Dynamics
7.5.4.2. Competitive Scenario
7.5.4.3. South Korea Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.5.5. Australia
7.5.5.1. Key Country Dynamics
7.5.5.2. Competitive Scenario
7.5.5.3. Australia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.5.6. Thailand
7.5.6.1. Key Country Dynamics
7.5.6.2. Competitive Scenario
7.5.6.3. Thailand Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.6. Latin America
7.6.1. Brazil
7.6.1.1. Key Country Dynamics
7.6.1.2. Competitive Scenario
7.6.1.3. Brazil Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.6.2. Mexico
7.6.2.1. Key Country Dynamics
7.6.2.2. Competitive Scenario
7.6.2.3. Mexico Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.6.3. Argentina
7.6.3.1. Key Country Dynamics
7.6.3.2. Competitive Scenario
7.6.3.3. Argentina Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.7. MEA
7.7.1. South Africa
7.7.1.1. Key Country Dynamics
7.7.1.2. Competitive Scenario
7.7.1.3. South Africa Market Estimates and Forecasts, 2018 - 2030 (USD Million)
7.7.2. Saudi Arabia
7.7.2.1. Key Country Dynamics
7.7.2.2. Competitive Scenario
7.7.2.3. Saudi Arabia Market Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 8. Competitive Landscape
8.1. Market Participant Categorization
8.2. Participants Overview
8.3. Financial Performance
8.4. Product Benchmarking
8.5. Market Position Analysis, 2023 (Heat Map Analysis)
8.6. Strategy Mapping
8.6.1. Mergers And Acquisitions
8.6.2. Launch
8.6.3. Partnerships & Collaborations
8.6.4. Expansion
8.6.5. Others
8.7. Company Profiles
8.7.1. BioMérieux SA
8.7.1.1. Participant’s overview
8.7.1.2. Financial performance
8.7.1.3. Product benchmarking
8.7.1.4. Strategic initiatives
8.7.2. Becton, Dickinson and Company (BD)
8.7.2.1. Participant’s overview
8.7.2.2. Financial performance
8.7.2.3. Product benchmarking
8.7.2.4. Strategic initiatives
8.7.3. Synbiosis
8.7.3.1. Participant’s overview
8.7.3.2. Financial performance
8.7.3.3. Product benchmarking
8.7.3.4. Strategic initiatives
8.7.4. Thermo Fisher Scientific
8.7.4.1. Participant’s overview
8.7.4.2. Financial performance
8.7.4.3. Product benchmarking
8.7.4.4. Bruker Corporation
8.7.5. Dechra Pharmaceuticals
8.7.5.1. Participant’s overview
8.7.5.2. Financial performance
8.7.5.3. Product benchmarking
8.7.5.4. Strategic initiatives
8.7.6. Danaher Corporation (Beckman Coulter Inc.)
8.7.6.1. Participant’s overview
8.7.6.2. Financial performance
8.7.6.3. Product benchmarking
8.7.6.4. Strategic initiatives
8.7.7. Condalab
8.7.7.1. Participant’s overview
8.7.7.2. Financial performance
8.7.7.3. Product benchmarking
8.7.7.4. Strategic initiatives
8.7.8. Bioguard Corporation
8.7.8.1. Participant’s overview
8.7.8.2. Financial performance
8.7.8.3. Product benchmarking
8.7.8.4. Strategic initiatives
8.7.9. Liofilchem S.r.l.
8.7.9.1. Participant’s overview
8.7.9.2. Financial performance
8.7.9.3. Product benchmarking
8.7.9.4. Strategic initiatives
8.7.10. HiMedia Laboratories
8.7.10.1. Participant’s overview
8.7.10.2. Financial performance
8.7.10.3. Product benchmarking
8.7.10.4. Strategic initiatives
8.7.11. Bio-Rad Laboratories
8.7.11.1. Participant’s overview
8.7.11.2. Financial performance
8.7.11.3. Product benchmarking
8.7.11.4. Strategic initiatives
8.8. List of Other Key Market Players
Chapter 9. Key Takeaways

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