Digital Scent Technology Market Analysis

Digital Scent Technology Market Analysis

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Based on hardware, the E-nose segment held over 60% of the market share in 2023, propelled by rising adoption to potentially detect illnesses like cancer, diabetes, and infections based on specific scent markers. To cite an instance, in February 2023, a research team at AIIMS developed an e-Nose to detect lung cancer by creating a breath-print device for identifying the disease from the exhaled compounds. E-nose technology is also employed for environmental monitoring, detecting pollutants, harmful gases, and chemicals in the air. Significant breakthroughs in sensor technology are also leading to new applications for electronic noses, contributing to segment growth.
 

Based on end-user industry, the medical segment accounted for 35% of the digital scent technology market share in 2023, due to growing deployment to monitor disease progression and treatment efficacy of various diseases. Digital scent technology helps to improve the quality of life for patients as it offers rapid and non-invasive methods for disease monitoring, limiting the need for invasive diagnostic procedures. The rising penetration of scent-based diagnostics in personalized medicine will also play a key role in market expansion.
 

North America digital scent technology market with a major share of around 38% in 2023, owing to the rapid expansion of the healthcare, marketing, food & beverage as well as safety and security sectors. The rising interest in aromatherapy and wellness products is driving the integration of scent technology into healthcare for therapeutic purposes, stress relief, and mood enhancement.
 

The increasing focus of regional companies and research institutions on exploring new ways to replicate as well as digitize scents for various applications will also bolster industry development. To illustrate, in April 2022, Tokyo Tech researchers devised a new technology for generating a variety of scents by blending multiple odor components deploying mass spectra as well as multidimensional data analysis.