Global AI-Based Fever Detection Camera Market Size is valued at USD 1.77 billion in 2025 and is predicted to reach USD 3.85 billion by the year 2035 at an 8.2% CAGR during the forecast period for 2026 to 2035.
AI-Based Fever Detection Camera Market Size, Share & Trends Analysis Report By Type (Turret/Bullet Cameras, and Handheld Cameras), By End-User (Airports, Hospitals, Public Places, Enterprises/Factories, Banks), By Region, And By Segment Forecasts, 2026 to 2035
Artificial intelligence (AI) powered cameras for detecting fevers are highly valuable instruments for improving public health and safety, particularly during periods of infectious disease outbreaks. By integrating thermal imaging with sophisticated artificial intelligence, these devices offer rapid, precise, and non-intrusive fever screening, aiding in the detection and isolation of potentially infectious persons prior to the transmission of sickness. The main objective of this system is to detect people who could be displaying symptoms of fever.
Due to the COVID-19 pandemic and the increasing awareness of the necessity of controlling infectious diseases, there has been a considerable rise in the demand for non-contact temperature screening in public areas, companies, and transit centres. AI-enabled thermal imaging cameras provide a dependable and effective solution for this requirement. The continuous progress in AI technology, enhancing the precision and efficiency of temperature measurements, continues to propel the market.
Nevertheless, the substantial upfront expenses linked to the implementation of AI-powered fever detection camera systems provide a noteworthy obstacle. The expenses encompass the expenditures for cameras, advanced software, installation, and routine maintenance. The cost burden associated with implementing these systems can be significant, posing challenges for small and medium-sized companies (SMEs) and organizations with restricted resources. Furthermore, the apprehensions regarding privacy and data security, considering the fact that these cameras handle delicate health information and the possibility of inaccurate results owing to external environmental variables, continue to impede the broad acceptance of these cameras.
The AI-Based Fever Detection Camera market is segmented on the basis of Type and End-user. Based on type, the market is segmented into Turret/Bullet Cameras and Handheld Cameras. By End-user, the market is segmented into Airports, Hospitals, Public Places, Enterprises/Factories, Banks, and Others (Schools, Residential Buildings, etc.).
The Turret/Bullet Cameras category is expected to hold a major share in the global AI-Based Fever Detection Camera market in 2023. It is predicted that the turret and bullet camera sectors have the highest market since these cameras eliminate the danger and expense associated with hiring staff members to use handheld equipment at entrances in order to assess individual temperatures. Most of the time, these cameras are installed in locations such as building entrances, airports, industries, and commercial facilities. They are often fixed on the wall. These cameras have a range of 8 to 30 feet, allowing them to scan.
The Public Places segment is predicted to grow rapidly in the global AI-Based Fever Detection Camera market. AI-powered thermal imaging cameras are mostly used in densely populated areas to detect individuals with elevated body temperatures. These cameras have the ability to scan anybody who enters, regardless of whether they are wearing a mask or not. These gadgets enhance the efficiency of operations at facilities and also alert the authorities in the event of detecting individuals with elevated body temperatures. They assist in segregating the individual from the masses. These cameras are anticipated to assist organizations, such as grocery shops and enterprises, in carrying out their important operations with less danger.
As the largest region, North America dominated the AI-based fever detection camera market, primarily due to numerous significant factors. The region's sophisticated healthcare infrastructure, robust health and safety standards, and pervasive use of cutting-edge technology significantly influence market growth. The market in North America is further fortified by substantial investments in public health and safety measures and the presence of prominent industry leaders.
On the other hand, the Asia-Pacific region is anticipated to experience the most significant growth rate during the projection period. The burgeoning awareness of public health, the escalating government initiatives to improve healthcare systems, and the increasing demand for advanced surveillance technology in densely populated countries may all be contributing factors to the exponential expansion. Additionally, the numerous smart city initiatives and the substantial investments in technological advancements have a significant influence. Furthermore, the region's prior experiences with pandemics have heightened the importance of establishing robust health surveillance systems, thereby accelerating the adoption of fever detection cameras that employ artificial intelligence.
| Report Attribute | Specifications |
| Market Size Value In 2025 | USD 1.77 Bn |
| Revenue Forecast In 2035 | USD 3.85 Bn |
| Growth Rate CAGR | CAGR of 8.2% from 2026 to 2035 |
| Quantitative Units | Representation of revenue in US$ Bn and CAGR from 2026 to 2035 |
| Historic Year | 2022 to 2024 |
| Forecast Year | 2026 to 2035 |
| Report Coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments Covered | By Type And End-User |
| Regional Scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| Country Scope | U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea |
| Competitive Landscape | Altoros, AnyConnect Private Limited, Athena Security, Inc., Australia PTY LTD., FLIR Systems, Inc., Hangzhou Hikvision Digital Technology Co., Ltd., Honeywell International Inc., Johnson Controls, Kogniz, Inc., Mantra Softech, Nippon Avionics Co., Ltd., Platinum CCTV, Scylla, and Vantage Security. |
| Customization Scope | Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing And Available Payment Methods | Explore pricing alternatives that are customized to your particular study requirements. |
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.