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AI-Based Fever Detection Camera Market

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, 2024-2031

Report ID : 2621 | Published : 2024-09-25 | Pages: 170 | Format: PDF/EXCEL/Power BI Dashbord

The AI-Based Fever Detection Camera Market Size is valued at USD 1.55 billion in 2023 and is predicted to reach USD 2.92 billion by the year 2031 at an 8.39% CAGR during the forecast period for 2024-2031.

fever detection camera

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.

Competitive Landscape

Some Major Key Players In The AI-Based Fever Detection Camera Market:

  • 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
  • Vantage Security
  • Other Market Players

 

Market Segmentation:

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.).

Based On Type, The Turret/Bullet Cameras Segment Is Accounted As A Major Contributor In The AI-Based Fever Detection Camera Market

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.

Public Places Segment Witnessed Growth At A Rapid Rate

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.

In the region, the North American AI-Based Fever Detection Camera Market Holds A Significant Revenue Share.

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.

Recent Developments:

  • In May 2021, Teledyne Technologies acquired FLIR Systems Inc. for a total of $8 billion. The acquisition was made with the intention of broadening Teledyne's range of sensors and sensor solutions. FLIR Systems focuses on the development and production of AI thermal imaging systems, infrared cameras, and sensor technologies.
  • In January 2020, AnyConnect and ASUS collaborated to introduce an intelligent camera platform that utilizes AI at the edge, providing compatibility for Wi-Fi, 4G, and 5G networks. This partnership integrates AnyConnect's Application Enablement Platform and AI Containers with ASUS Tinker Edge T, facilitating the development of AI camera technology for the security, transportation, and retail sectors.

AI-Based Fever Detection Camera Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 1.55 Bn

Revenue Forecast In 2031

USD 2.92 Bn

Growth Rate CAGR

CAGR of 8.39% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

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.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI-Based Fever Detection Camera Market Snapshot

Chapter 4. Global AI-Based Fever Detection Camera Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Type Estimates & Trend Analysis
5.1. By Type & Market Share, 2023 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Type:

5.2.1. Turret/Bullet Cameras
5.2.2. Handheld Cameras

Chapter 6. Market Segmentation 2: By End Users Estimates & Trend Analysis
6.1. By End Users & Market Share, 2023 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By End Users:

6.2.1. Airports
6.2.2. Hospitals
6.2.3. Public Places
6.2.4. Enterprises/Factories
6.2.5. Banks
6.2.6. Others (Schools, Residential Buildings, etc.)

Chapter 7. AI-Based Fever Detection Camera Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America
7.1.1. North America AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
7.1.2. North America AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
7.1.3. North America AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.2. Europe
7.2.1. Europe AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
7.2.2. Europe AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
7.2.3. Europe AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.3. Asia Pacific
7.3.1. Asia Pacific AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
7.3.2. Asia Pacific AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
7.3.3. Asia Pacific AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.4. Latin America
7.4.1. Asia Pacific AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
7.4.2. Latin America AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
7.4.3. Latin America AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.5. Middle East & Africa
7.5.1. Middle East & Africa AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
7.5.2. Middle East & Africa AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
7.5.3. Middle East & Africa AI-Based Fever Detection Camera Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 8. Competitive Landscape
8.1. Major Mergers and Acquisitions/Strategic Alliances
8.2. Company Profiles

8.2.1. Altoros (California, United States)
8.2.2. AnyConnect Private Limited (Singapore)
8.2.3. Athena Security, Inc. (Austin, United States)
8.2.4. Australia PTY LTD. (Australia)
8.2.5. FLIR Systems, Inc. (Oregon, United States)
8.2.6. Hangzhou Hikvision Digital Technology Co., Ltd. (Hangzhou, China)
8.2.7. Honeywell International Inc. (North Carolina, United States)
8.2.8. Johnson Controls (Cork, Ireland)
8.2.9. Kogniz, Inc. (California, United States)
8.2.10. Mantra Softech (India) Pvt. Ltd. (India)
8.2.11. Nippon Avionics Co., Ltd. (Osaka, Japan)
8.2.12. Platinum CCTV (United States)
8.2.13. Scylla (California, United States)
8.2.14. Vantage Security (West Midlands, United Kingdom)
8.2.15. Other Prominent Players

Segmentation of AI-Based Fever Detection Camera Market-

AI-Based Fever Detection Camera Market By Type-

  • Turret/Bullet Cameras
  • Handheld Cameras

fever detection camera

AI-Based Fever Detection Camera Market By End-user-

  • Airports
  • Hospitals
  • Public Places
  • Enterprises/Factories
  • Banks
  • Others (Schools, Residential Buildings, etc.)

AI-Based Fever Detection Camera Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

 

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Frequently Asked Questions

How big is the AI-Based Fever Detection Camera Market Size?

The AI-Based Fever Detection Camera Market is estimated to grow at an 8.39% CAGR during the forecast period for 2024-2031.

Altoros, AnyConnect Private Limited, Athena Security, Inc., Australia PTY LTD., FLIR Systems, Inc., Hangzhou Hikvision Digital Technology Co., Ltd., H

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