| Product Code: ETC8833604 | Publication Date: Sep 2024 | Updated Date: Jun 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Summon Dutta | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
AI-based fever detection cameras have become vital in public health monitoring, especially post-pandemic, to screen individuals for elevated body temperatures in public spaces such as airports, malls, and workplaces. In the Philippines, this market has seen rapid growth due to government mandates and increased health safety awareness. These cameras use thermal imaging combined with AI algorithms to quickly and accurately detect fever symptoms. The market faces challenges in terms of cost, accuracy under different environmental conditions, and privacy issues, but remains critical for health security and epidemic control.
The fever detection camera market gained prominence during the COVID-19 pandemic and continues to hold relevance in public health monitoring. In the Philippines, such AI-enabled systems are deployed in airports, hospitals, and public spaces to screen individuals quickly, supporting infectious disease control and workplace safety.
The AI-based fever detection camera market is challenged by issues of accuracy and false positives, particularly in varying environmental conditions common in the Philippines. Public skepticism regarding privacy and data protection affects deployment in public spaces. Limited integration with existing health infrastructure reduces utility, while regulatory oversight is still catching up with technology evolution. Additionally, inconsistent supply chains and high initial investment costs hinder adoption across institutions.
The market for AI-based fever detection cameras has grown substantially as part of public health measures to control infectious diseases. Investments in developing and deploying accurate, fast, and non-invasive fever screening solutions can find applications in airports, schools, workplaces, and healthcare facilities. Innovations that improve integration with existing security systems and data privacy compliance will be valued. There is ongoing potential for export as countries adopt similar health safety technologies.
Government policies in the Philippines facilitate the adoption of AI-based fever detection cameras as part of public health measures, particularly in response to infectious disease control such as COVID-19. The Department of Health (DOH) and the Department of Science and Technology (DOST) have issued guidelines on the deployment and accuracy standards for such devices, emphasizing privacy protection and integration with broader health surveillance systems to improve early detection and containment efforts.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Philippines AI-based Fever Detection Camera Market Overview |
3.1 Philippines Country Macro Economic Indicators |
3.2 Philippines AI-based Fever Detection Camera Market Revenues & Volume, 2021 & 2031F |
3.3 Philippines AI-based Fever Detection Camera Market - Industry Life Cycle |
3.4 Philippines AI-based Fever Detection Camera Market - Porter's Five Forces |
3.5 Philippines AI-based Fever Detection Camera Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Philippines AI-based Fever Detection Camera Market Revenues & Volume Share, By End User, 2021 & 2031F |
4 Philippines AI-based Fever Detection Camera Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Philippines AI-based Fever Detection Camera Market Trends |
6 Philippines AI-based Fever Detection Camera Market, By Types |
6.1 Philippines AI-based Fever Detection Camera Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Turret/Bullet Cameras, 2021- 2031F |
6.1.4 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Handheld Cameras, 2021- 2031F |
6.2 Philippines AI-based Fever Detection Camera Market, By End User |
6.2.1 Overview and Analysis |
6.2.2 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Airports, 2021- 2031F |
6.2.3 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Hospitals, 2021- 2031F |
6.2.4 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Public Places, 2021- 2031F |
6.2.5 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Enterprises/Factories, 2021- 2031F |
6.2.6 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Banks, 2021- 2031F |
6.2.7 Philippines AI-based Fever Detection Camera Market Revenues & Volume, By Others, 2021- 2031F |
7 Philippines AI-based Fever Detection Camera Market Import-Export Trade Statistics |
7.1 Philippines AI-based Fever Detection Camera Market Export to Major Countries |
7.2 Philippines AI-based Fever Detection Camera Market Imports from Major Countries |
8 Philippines AI-based Fever Detection Camera Market Key Performance Indicators |
9 Philippines AI-based Fever Detection Camera Market - Opportunity Assessment |
9.1 Philippines AI-based Fever Detection Camera Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Philippines AI-based Fever Detection Camera Market Opportunity Assessment, By End User, 2021 & 2031F |
10 Philippines AI-based Fever Detection Camera Market - Competitive Landscape |
10.1 Philippines AI-based Fever Detection Camera Market Revenue Share, By Companies, 2024 |
10.2 Philippines AI-based Fever Detection Camera Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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