The market is segmented based on Segmentation, By Product and Services (Assays, Kits, and Reagents, Instruments, Services and Software), Disease Type (Hepatitis, HIV, CT/NG, HAIs, HPV, TB, Influenza, Other Diseases), Technology (Immunodiagnostics, Clinical Microbiology, PCR, INAAT, DNA Sequencing and NGS, DNA Microarrays, Other Technologies), End Use (Hospitals/Clinical Laboratories, Reference Laboratories, Physician Offices, Academic/Research Institutes, Other End Users) – Industry Trends and Forecast to 2032
.
The Global Tropical Disease Testing Products Market size was valued at USD 19.18 USD Billion in 2024.
The Global Tropical Disease Testing Products Market is projected to grow at a CAGR of 5.15% during the forecast period of 2025 to 2032.
The major players operating in the market include Johnson & Johnson Services Inc. , Danaher , ThermoFisher ScientificInc. , Siemens , Abbott , Bio-Rad Laboratories Inc. , BD , F. Hoffmann-La Roche AG , HologicInc. , Qiagen , Sofinas.a. , Ingersoll-Rand , Quest DiagnosticsIncorporated , Cardinal Health , Quidel Corporation , Trinity Biotech .
The market report covers data from the U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
Corporate Email ID Only (Avoid Using Generic mail ID such as Gmail)
Consent Preferences
We use cookies to improve your experience We use cookies to deliver the best possible experience on our website. To learn more, visit our Privacy Policy. By continuing to use this site, or closing this box, you consent to our use of cookies. Cookie Notice.
The data presented is for visualization purposes only and may not reflect actual results.