Saliva collection devices are used for direct collection and storage of human saliva samples. Saliva collection devices include spitting kits, swabs, and liquid-based collection devices. These devices aid in the collection of saliva samples for laboratory analysis and testing across various diagnostic applications. Rising application of saliva diagnostics for various diseases and point-of-care testing is expected to drive the demand for saliva collection devices over the forecast period. Saliva testing offers non-invasive and pain-free alternative to blood collection and has applications across infectious disease testing, drug & alcohol testing, hormonal status testing, and forensic testing among others. The global saliva collection devices market is estimated to be valued at US$ 297.27 Mn in 2023 and is expected to exhibit a CAGR of 10% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.
Market Dynamics:
One of the key drivers propelling the growth of the saliva collection devices market is rising diagnostic applications of saliva tests. Saliva-based testing provides accurate, cost-effective, and convenient alternative to blood-based tests. Saliva testing holds significant potential in point-of-care testing and home use diagnostic kits owing to ease of collection. Advancements in molecular diagnostics and automation have enabled analysis of various biomarkers from saliva samples, thus increasing scope of saliva testing. This is expected to drive the adoption of saliva collection devices in clinical laboratories as well as home testing over the forecast period.
Another factor augmenting the market growth is growing demand for non-invasive and painless diagnostic procedures. Traditional blood collection methods often cause pain and discomfort to patients. Saliva collection provides pain-free alternative especially important for pediatric patients. This advantage coupled with accuracy of saliva analyte levels is spurring its use across various end users including hospitals, diagnostic laboratories, healthcare providers, and patients.
Segment Analysis
The global saliva collection devices market is dominated by the specimen storage and biological specimens sub-segment. This is because saliva collection devices play a crucial role in effective sample collection and storage for laboratory testing. The specimen storage and biological specimens sub-segment accounts for over 35% of the overall market share owing to higher demand for effective storage and transportation of saliva specimens to laboratories for various testing purposes.
PEST Analysis
Political: Regulations regarding collection, storage, transportation and usage of biological specimens are driving the demand for reliable saliva collection devices in the market.
Economic: Rising disposable income and growing healthcare expenditure is positively impacting the market growth.
Social: Increasing prevalence of various diseases requiring saliva-based testing and diagnosis is a key factor boosting the market.
Technological: Advancements in rapid point-of-care testing technologies using saliva samples are supporting the adoption of innovative saliva collection devices.
Key Takeaways
The Global Saliva Collection Devices Market Size is expected to witness high growth at a CAGR of 10% during the forecast period of 2023 to 2030.
Regional analysis: The Asia Pacific region is expected to showcase highest growth in the coming years led by expanding healthcare infrastructure, increasing healthcare spending and rising awareness in countries like India and China.
Key players: Key players operating in the saliva collection devices market are IBM Corporation, Oracle Corporation, Cerner Corporation, InterSystems Corporation, Allscripts Healthcare Solutions, Red Hat, Inc. (acquired by IBM), Microsoft Corporation, GE Healthcare, Infor, Inc., Epic Systems Corporation, TIBCO Software Inc., McKesson Corporation, Dell Technologies, Informatica Corporation, Ascom Holding AG.
*Note:
1.Source: Coherent Market Insights, Public sources, Desk research
2.We have leveraged AI tools to mine information and compile it