AI-Based Fever Detection Camera Market - Size, Share, Industry Trends, and Forecasts (2025-2032)

By Type:

Based on type, the market is segmented into fixed cameras, portable cameras, and handheld cameras.

Trends in the type:

• The segment growth can be attributed to the growing technological advancements to enhance the detection accuracy and usability of these cameras. Manufacturers are focusing on developing better cameras with improved resolution, faster processing speeds, and improved AI algorithms to meet the increasing demand.
• Fever-detecting AI cameras are being combined with other technologies, such as access control and face recognition, to create comprehensive screening solutions. With cloud services and remote monitoring, the data from these cameras can be tracked and reported instantly. This allows businesses to effectively manage their screening processes.
• Thus, the above factors are driving the AI-based fever detection camera market demand and trends.

The fixed cameras segment accounted for the largest revenue share in the year 2024.

• Fixed cameras are extensively used in areas where constant surveillance is required, such as airports and large public spaces.
• Their installation is crucial for environments demanding continuous, real-time monitoring.
• These cameras often feature advanced detection algorithms that enhance their capacity to identify fevers in large crowds without the need for manual intervention, making them cost-effective for long-term deployment.
• Thus, based on the above analysis, these factors are further driving the AI-based fever detection camera market growth and trends.

The handheld cameras segment is anticipated to register the fastest CAGR during the forecast period.

• Handheld cameras are smaller and more portable and offer significant advantages in terms of mobility and targeted screenings.
• These devices are particularly beneficial in healthcare settings and during events where quick, on-the-spot temperature checks are necessary.
• Their portability makes them ideal for use in temporary setups or locations where permanent installation of cameras is not feasible.
• The ability to move freely and conduct precise, close-range temperature scans makes a better choice among frontline workers and security personnel.
• Thus, based on the above analysis, these trends are expected to drive the AI-based fever detection camera market share and growth during the forecast period.

By Camera Technology:

Based on camera technology, the market is segmented into thermal imaging, infrared sensors, and visible light cameras.

Trends in the camera technology:

• The growing focus on enhancing the reliability of temperature readings through more sophisticated AI algorithms and better sensor technology is driving the segment.
• There is a rising trend towards miniaturization and increased processing power, which enables the development of compact and efficient fever detection cameras. These innovations are paving the way for broader adoption across various industry verticals, as they offer improved performance and ease of integration into existing infrastructures.
• These factors are anticipated to further drive the AI-based fever detection camera market trends.

The thermal imaging segment accounted for the largest revenue share of 52.88% in the year 2024 and it is expected to register the highest CAGR during the forecast period.

• Thermal imaging systems operate by detecting infrared radiation emitted by objects and converting it into visible images, allowing for non-contact temperature measurement and visualization of heat patterns.
• Technological advancements, including the development of high-resolution sensors and integration with artificial intelligence (AI) for advanced analytics, continue to drive innovation within the segment. These innovations improve thermal imaging system capabilities, enhancing their accuracy, reliability, and versatility across diverse applications.
• Manufacturers are focusing on reducing the size and weight of thermal cameras without compromising on performance and image quality. This development has led to the creation of lightweight and ruggedized systems capable of withstanding harsh environmental conditions while delivering reliable thermal imaging capabilities in real-time.
• For instance, Marlowe Fire & Security Limited’s thermal imaging camera provide fever screening by detecting elevating elevated body temperatures in large group of people, with accuracy up to ±0.3°C. These cameras display visual pictures along with temperature readings shown on a scale. They also have audible alerts that can be programmed to sound when a specific temperature is reached.
• Therefore, these factors would further supplement the AI-based fever detection camera market

By End User:

Based on end user, the market is segmented into transportation, BFSI, education, government & defense, healthcare, manufacturing facilities, retail, food & beverages, sports, and others.

Trends in the end user:

• The implementation of fever detection cameras at airports aids in the swift and efficient screening of passengers, thereby minimizing the risk of disease transmission and ensuring a smooth travel experience.
• Industrial applications are also expanding as companies recognize the importance of maintaining a healthy workforce. In manufacturing plants and construction sites, fever detection cameras are utilized to screen employees before entering the workplace, helping to minimize disruptions caused by illness outbreaks. The use of these cameras in industrial environments not only ensures compliance with safety standards but also contributes to maintaining productivity and worker optimism.

The healthcare segment accounted for the largest revenue share in the year 2024.

• Hospitals, clinics, and medical centers leverage fever detection cameras to quickly identify potentially contagious individuals and take appropriate measures, thus, safeguarding vulnerable populations and ensuring compliance with health regulations.
• The ability to conduct non-intrusive screenings complements existing medical protocols, enhancing overall operational efficiency and patient care.
• For instance, Workswell designed MEDICAS, a thermal imaging solution for hospital and healthcare facilities. This innovative solution utilizes a high-resolution 640x512 pixel camera capable of detecting very subtle temperature variations (as small as 0.03°C). MEDICAS adheres to global standards like IEC, ISO, and GDPR, ensuring compliance and reliability. For superior accuracy and consistent performance, the system features real-time, continuous calibration using Workswell BB90 and BB200 black body calibrators.
• Thus, based on the above analysis, these factors are driving the AI-based fever detection camera market growth.

The transportation segment is anticipated to register the fastest CAGR during the forecast period.

• Within the transportation sector, AI-based fever detection cameras are pivotal in promoting safe travel experiences.
• Airports, train stations, and bus terminals utilize these systems to screen passengers efficiently, providing an additional layer of protection against contagious diseases.
• The implementation of fever detection cameras in transportation hubs is critical for maintaining operational continuity and public confidence, as these environments often see high volumes of travellers from diverse regions.
• For instance, according to Press Information Bureau, the total number of operational airports in India witnessed a substantial increase from 74 airports in 2014 to 148 airports in 2023.
• Thus, the above factors are anticipated to further drive the AI-based fever detection camera market trends during the forecast period.