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The AI-based fever detection camera market was valued at USD 2.54 billion in 2023. It is expected to grow at a CAGR of 8.1% during the forecast period of 2024-2032 and attain a market value of USD 5.12 billion in 2032.
The increasing use of such platforms and ongoing technological advancements in this field impact the market value. There has been a significant increase in the number of patent applications associated with AI-based fever detection cameras, driven by its increased adoption for screening purposes, particularly during the COVID-19 pandemic.
The Global AI-based Fever Detection Camera Patent Landscape Report provides a comprehensive and in-depth analysis of the patents in this growing industry. The key sections captured in the report for the global AI-based fever detection camera includes a thorough examination of the patent portfolios of key players, covering aspects such as the number of patents and types of technologies patented. It includes the latest trends, geographical distribution of patents, top IP player profiles, technological segmentation, and patent valuation. The breakdown of patents by technical segments is provided, giving more clarity on the specific areas of innovation within AI-based fever detection camera technologies.
AI-based fever detection cameras are being integrated with IoT devices to enable smooth connectivity and communication. This feature makes it possible to monitor temperature data in real-time from several cameras spread over various locations, allowing for centralized management and surveillance. When abnormal temperatures are detected, data transmission through IoT networks guarantees immediate updates and alerts to designated personnel or systems, enabling prompt response measures to mitigate potential health risks or outbreaks in environments like airports, hospitals, and public venues. Therefore, such techniques have a significant impact on the patent landscape.
AI-based fever detection camera is a specialized tool with thermal imaging technology and artificial intelligence (AI) algorithms. It is intended to detect elevated body temperatures precisely and remotely without encountering the user. These cameras use artificial intelligence (AI) to discern between possible fevers and normal body temperatures by analyzing thermal patterns that people emit in real-time. They help in the early detection and prevention of infectious diseases by efficiently screening large crowds for symptoms of illness in a variety of settings, including public spaces, airports, and healthcare facilities.
The AI-based fever detection camera market continues to evolve because these cameras are financially more reasonable due to manufacturing innovations and economies of scale. Moreover, the adoption of non-invasive and contactless screening solutions is on the rise in high-traffic areas due to increased demand, acting as a driving factor to boost market value in the forecast period.
New Product Launches are Expected to Boost the Market Growth
The introduction of new technologies in AI-based fever detection cameras, which offer unique features like increased accuracy, quicker reaction times, and better integration with current infrastructures, propels market expansion. These developments respond to the growing need in a variety of contexts, such as public spaces, transit hubs, and healthcare facilities, for dependable, non-invasive health monitoring solutions. For instance, in September 2023, Teledyne FLIR, a division of Teledyne Technologies Incorporated announced the launch of the newest model in its renowned fixed camera (FC) series, the FLIR FC-Series AI. With its onboard AI analytics, the FC-Series AI thermal security camera can precisely identify people and cars, enabling early intrusion detection for perimeter defence and remote site monitoring.
These product launches have reported a significant increase in the number of patent grants for AI-based fever detection technologies from about 61 patents in 2022 to 74 patents granted in 2023.
Integration with IoT for Enhanced Connectivity is Expected to Propel the AI-based Fever Detection Camera Industry
AI-based fever detection camera connectivity is improved through integration with IoT, allowing for real-time monitoring, smooth data transfer, and remote management features. This integration supports proactive response strategies and effective health monitoring in a variety of environments by facilitating centralized control and instant alerts for abnormal temperature readings.
The report provides an in-depth analysis of the patents in this field by the following segmentation -
Breakup by Type
The breakup based on type includes turret/bullet cameras and handheld cameras.
Surveillance cameras with turret or bullet designs are employed for monitoring outside areas. They have a fixed lens inside a bullet-shaped or cylindrical housing. These cameras record video and can rotate both vertically and horizontally to give a wide field of vision. They are appropriate for both home and business security applications since they can tolerate a variety of weather conditions and are frequently fitted with infrared LEDs for night vision.
The detailed technological data will be provided for all specified segments classified in this report.
The United States is one of the leading jurisdictions for AI-based Fever Detection Camera patents, having around 1,600 patents. The presence of a well-established healthcare infrastructure, a robust legal framework and prominent research institutions engaged in innovations contributes to the patent landscape significantly.
Holding a significant chunk of the global population. The expanding healthcare landscape in the other regions contributes to the evolving research capabilities, thereby influencing a surge in patent applications.
Among the players with AI-based fever detection camera patent families, new entrants have been identified, which can be either established companies or startups developing their first technology in the field. Some of the major companies mentioned in this report (a non-exhaustive list) are as follows:
Fujifilm Corp.
A well-known international corporation with a focus on imaging and photography goods, such as diagnostic tools and medical imaging systems. Fujifilm has created AI-based fever detection cameras that make use of cutting-edge thermal imaging sensors and AI algorithms by leveraging its experience in imaging technology. These cameras are made to give accurate temperature monitoring, supporting worldwide efforts in public safety and healthcare.
Samsung Electronics Co., Ltd.
Samsung is a world leader in technology, renowned for its inventions in several industries, including semiconductors, telecommunications, and consumer electronics. Samsung has advanced AI-based technologies by utilizing its vast research and development capabilities. With the help of AI algorithms and Samsung's imaging sensor expertise, these cameras offer precise and dependable temperature screening solutions for use in public safety, healthcare, and transportation.
Other companies include LG Electronics Inc., Nvidia Corp., and Semiconductor Energy Lab Co., Ltd., among others.
The global AI-based fever detection camera patent report provides information on the intellectual property (IP) position and strategy of key players. This report can help companies and players looking to enter or invest in this field by:
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.
1 Introduction
2 Executive Summary
3 Global AI-Based Fever Detection Camera Market Overview
3.1 Global AI-Based Fever Detection Camera Market Historical Value (2017-2023)
3.2 Global AI-Based Fever Detection Camera Market Forecast Value (2024-2032)
4 Global AI-Based Fever Detection Camera Market Segmentation
4.1 Global AI-Based Fever Detection Camera Market (2017-2032) By Type
4.1.1 Market Overview
4.1.2 Turret/Bullet Cameras
4.1.3 Handheld Cameras
4.2 Global AI-Based Fever Detection Camera Market (2017-2032) by End User
4.2.1 Market Overview
4.2.2 Hospitals
4.2.3 Specialty Clinics
4.2.4 Nursing Home
4.2.5 Others
5 Global Market Dynamics
5.1 Market Drivers and Constraints
5.2 Porter’s Five Forces Analysis
5.3 PESTEL Analysis
5.4 Industry Events, Initiatives, and Trends
5.5 Value Chain Analysis
6 Global AI-Based Fever Detection Camera Patent Landscape Analysis
6.1 Patent Distribution by Publication Year
6.2 Patent Distribution by Application Year
6.3 Patent Distribution by Priority Year
6.4 Analysis by Type of Patent
6.4.1 Granted Patents
6.4.2 Patent Application
6.4.3 Amended Application
6.4.4 Search Report
6.5 Analysis by Legal Status
6.5.1 Active
6.5.2 Pending
6.5.3 Expired/Discontinued
6.6 Analysis by Patent Jurisdiction
6.7 Analysis by Patent Age
6.8 Analysis by Cooperative Patent Classification (CPC) Codes
6.9 Average Time to Publish a Patent
6.9.1 By Entities
6.9.2 By Jurisdiction
6.9.3 By Technology
6.10 Analysis by Type of Entity (Academic and Non-Academic)
6.11 Analysis by Top Applicants
6.12 Analysis by Top Inventors
7 Global AI-Based Fever Detection Camera Patent Analysis by Technology
7.1 Total Patents by Top Technologies
7.2 Time Evolution of Patents by Technology
7.3 Emerging Technologies
7.4 Patent Segmentation, By Type
7.4.1 Time Evolution by Number of Patents
7.4.2 Time Evolution by Number of Patent Families
7.4.3 Analysis by Type of Entity (Academic vs Non-Academic)
7.4.4 Analysis by Top Applicants
7.4.5 Analysis by Top Inventors
*Complete technology list will be provided in the report.
8 EMR Patent Valuation Analysis
8.1 Assessment Methodology
8.2 High Value Patents
8.3 Medium Value Patents
8.4 Low Value Patents
9 Global AI- Based Fever Detection Camera – Top 10 Players Patent Analysis
9.1 Top 10 Entities by Number of Patents
9.2 Analysis by Publication Year
9.3 Analysis by Application Year
9.4 Analysis by Priority Year
9.5 Analysis by Type of Patent
9.6 Analysis by Jurisdiction
9.7 Analysis by Cooperative Patent Classification (CPC) Codes
9.8 Analysis by Source of Innovation
9.9 Analysis by Forward and Backward Citations
9.10 Analysis by Legal Status
9.11 Analysis by Patent Age
9.12 Analysis by Key Inventors
9.13 Entity Dynamics
9.13.1 Analysis by Type of Player (Academic vs Non-Academic)
9.13.2 Analysis by Collaboration
9.13.3 Analysis by Technology
9.13.4 Newcomers
9.13.4.1 Start-up Companies
9.13.4.2 Established Companies
10 Patent Profile of Key Players
10.1 LG Electronics Inc.
10.1.1 Product Portfolio
10.1.2 Patent Portfolio by Patent Families
10.1.3 Time Evolution of Patents
10.1.4 Geographical Patent Coverage
10.1.5 Patent Analysis by Technology
10.1.6 Patent News and Developments
10.1.7 Financial Analysis
10.1.8 SWOT Analysis
10.2 Nvidia Corp.
10.3 Samsung Electronics Co Ltd
10.4 Semiconductor Energy Lab Co., Ltd.
10.5 Fujifilm Corp.
11 Future Trends
12 Global AI-Based Fever Detection Camera Landscape (Additional Insight) *
12.1 Global AI-Based Fever Detection Camera: Developers Landscape
12.1.1 Analysis by Year of Establishment
12.1.2 Analysis by Company Size
12.1.3 Analysis by Region
12.2 Global AI-Based Fever Detection Camera: Product Landscape
12.2.1 Analysis by Type
*Additional insights are not provided in the standard report.
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