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How much is the medical clothing market worth?

Global Medical Clothing Market

Data Bridge Market Research analyses that the medical clothing market was valued at USD 94.29 billion in 2021 and is expected to reach USD 173.24 billion by 2029, registering a CAGR of 7.9% during the forecast period of 2022 to 2029.

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Nearly every aspect of healthcare, including medical offices, hospitals, physiotherapy clinics, and labs, requires wearing medical attire. White work pants, lab coats, and scrub tops in Whitework colors and designs are among the medical workwear options. Whether you’re a doctor, nurse, or therapist, Praxisdienst has professional attire for men and women at reasonable prices from renowned manufacturers like HIZA, Bierbaum-Proenen, Abeba, and Anvil.


Medical clothing offers protection from bodily fluids and toxins, especially while treating illnesses in hospitals and other medical institutions. The different work dangers for medical professionals, including physicians, nurses, and medical personnel, include sharp injuries, latex allergy, laser pumps, blood-borne diseases, toxic chemicals, and others. People must wear medical gear to shield them from these risks in order to prevent injury or negative health impacts from illnesses. At hospitals and medical institutions, protective clothes such as drapes, surgical gowns, scrubs, protective facemasks, boots, eye protection, aprons, and caps are used.


Growth of medical clothing market

Market drivers 

Covid-19 Scenario:

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A pioneer in cutting-edge formative research is Data Bridge Market Research. We take satisfaction in providing data and analysis to both new and current customers that are appropriate for their objectives. The report may be altered to incorporate refurbished market and product base analysis, clinical trial outcomes data, literature research, and pricing trend analysis of target brands’ prices in new countries (ask for a list of countries). Technology-based analysis to market portfolio strategies may be used to assess market analysis of target rivals. In the structure and data type you choose, we may include as many rivals as you need.

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