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Global AI-based Fever Detection Camera Market: By Type: Turret/Bullet Cameras, Handheld Cameras; By End User: Airports, Hospitals, Public Places, Enterprises/Factories, Banks, Others; Regional Analysis; Historical Market and Forecast (2017-2027); Market Dynamics: SWOT Analysis; Competitive Landscape; Industry Events and Developments
Global AI-based Fever Detection Camera Market Outlook
The global AI-based fever detection camera market is expected to grow at a CAGR of 6.1% during the period 2022-2027.
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The Global AI-based Fever Detection Camera Market Likely to be Driven by the Need to Identify and Isolate Possibly Sick Individuals During a Crisis Like COVID-19
The global AI-based fever detection camera market is expected to be driven by the need of governments, firms, hospitals, shopping establishments, transport authorities and other public and private bodies to identify possibly sick people among employees, staff, visitors and masses, and be prepared for any future outbreak such as COVID-19. North America, Europe and Asia Pacific are expected to be major markets.
Major disruptive events with significant bearing on economies and lives of people across the globe have long lasting effects and implications, and force an almost permanent change in several spheres, including the way people live their daily lives and conduct business. The COVID-19 outbreak has been one such event that has forced governments and people the world over to reconsider existing crisis handling capabilities and approaches, and draw strategies and courses of action to avert, prevent and handle any future crises.
In the context of the COVID-19 pandemic, the reopening of society and return to relative normalcy seems to depend on the ability to limit transmission, maintain social distancing, simplify contact tracing, and detect and treat sick and infected individuals. For companies, it is essential to keep employees safe during a crisis like COVID-19, at the same time, solutions are warranted that eliminate the need for enterprises to post staff at entrances and check people one-by-one for fever. Governments also require scalable systems and solutions that help avoid the cost and risk of posting personnel with handheld thermal devices at entrances or check points to measure individual temperatures.
Companies are Offering Innovative Solutions to Manage the Effects of the Pandemic
Companies are trying to come up with innovative solutions that may help in managing the effects of COVID-19. One such solution is AI-based cameras that help detect fever. It is crucial that organisations develop the ability to swiftly identify potentially sick people during a COVID-19 like pandemic, and one way to do that is to detect those with fever. Handheld thermal guns are costly, laborious and time consuming, and create congestion. However, modern AI-based cameras help in detecting temperature in high-flow settings, and enable further evaluation of those with excessive temperatures.
To this end, Kogniz released an AI-enabled camera and software system to analyse groups and crowds entering a building and detect anyone with an elevated temperature or signs of the coronavirus (COVID-19). The very accurate system, Kogniz Health, notifies company staff in real time so that anyone with a fever can be quarantined as needed. Kogniz Health Cams can be installed at every entry to an office, college, warehouse, or distribution centre with a high volume of visitors. The Health Cam includes a thermal camera, an optical camera, and a high-resolution screen. It can be placed on a wall, tripod, desk, or counter. With the help of very accurate infrared technology, people's temperatures are checked in real time as they pass by individually or in groups, and the image of anyone with an elevated temperature is displayed. The system can detect skin temperature as far as 16 feet away.
Similarly, featuring advanced detectors and algorithms, Hikvision’s Temperature Screening Thermographic Cameras are devised to identify elevated skin temperatures, and can be employed for quick and primary temperature screening in offices, factories, stations, airports and other public places, with accuracy up to ±0.3°C. The company’s turret/bullet camera solution, iVMS-4200 + Laptop + Tripod/Bracket claims to be accurate to the tune of ±0.5°C, and is equipped with AI detection to decrease false alarms raised by other heat sources.
Agrex.ai, an India based startup, developed an AI-based fever detection screening solution, employing thermal camera processing, artificial intelligence and face recognition for coronavirus screening. The fever detection screening solution can scan almost 100 people per minute.
Applications of AI-based cameras capable of detecting fever traverse establishments across several sectors, including defence, education, entertainment, finance, food & beverages, government, healthcare, offices, public security, retail, sports, tourism, transportation, etc.
Global AI-based Fever Detection Camera Market Segmentation
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By type, the market is segmented into:
- Turret/Bullet Cameras
- Handheld Cameras
By end-user, the market is classified into:
- Airports
- Hospitals
- Public Places
- Enterprises/Factories
- Banks
- Others
By region, the market is segmented into:
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
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Key Industry Players in the Global AI-based Fever Detection Camera Market
The report presents a detailed analysis of the following key players in the market, looking into their capacity, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
- Scylla Technologies Inc.
- Altoros
- VMukti Solutions Pvt. Ltd
- Kogniz, Inc.
- AnyConnect Private Limited
- Others
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
| REPORT FEATURES | DETAILS |
|---|---|
| Base Year | 2021 |
| Historical Period | 2017-2021 |
| Forecast Period | 2022-2027 |
| Scope of the Report | Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Type, End User, Region |
| Breakup by Type | Turret/Bullet Cameras, Handheld Cameras |
| Breakup by End User | Airports, Hospitals, Public Places, Enterprises/Factories, Banks, Others |
| Breakup by Region | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
| Market Dynamics | SWOT, Porter's Five Forces, Key Indicators for Price and Demand |
| Competitive Landscape | Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications |
| Companies Covered | Scylla Technologies Inc., Altoros, VMukti Solutions Pvt. Ltd, Kogniz, Inc., AnyConnect Private Limited, Others |
| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*We at Expert Market Research always thrive to give you the latest information. The numbers in the article are only indicative and may be different from the actual report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Industry Opportunities and Challenges
8 Global AI-based Fever Detection Camera Market Analysis
8.1 Key Industry Highlights
8.2 Global AI-based Fever Detection Camera Historical Market (2017-2021)
8.3 Global AI-based Fever Detection Camera Market Forecast (2022-2027)
8.4 Global AI-based Fever Detection Camera Market by Type
8.4.1 Turret/Bullet Cameras
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2017-2021)
8.4.1.3 Forecast Trend (2022-2027)
8.4.2 Handheld Cameras
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2017-2021)
8.4.2.3 Forecast Trend (2022-2027)
8.5 Global AI-based Fever Detection Camera Market by End User
8.5.1 Airports
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2017-2021)
8.5.1.3 Forecast Trend (2022-2027)
8.5.2 Hospitals
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2017-2021)
8.5.2.3 Forecast Trend (2022-2027)
8.5.3 Public Places
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2017-2021)
8.5.3.3 Forecast Trend (2022-2027)
8.5.4 Enterprises/Factories
8.5.4.1 Market Share
8.5.4.2 Historical Trend (2017-2021)
8.5.4.3 Forecast Trend (2022-2027)
8.5.5 Banks
8.5.5.1 Market Share
8.5.5.2 Historical Trend (2017-2021)
8.5.5.3 Forecast Trend (2022-2027)
8.5.6 Others
8.6 Global AI-based Fever Detection Camera Market by Region
8.6.1 Market Share
8.6.1.1 North America
8.6.1.2 Europe
8.6.1.3 Asia Pacific
8.6.1.4 Latin America
8.6.1.5 Middle East and Africa
9 Regional Analysis
9.1 North America
9.1.1 Historical Trend (2017-2021)
9.1.2 Forecast Trend (2022-2027)
9.1.3 Breakup by Country
9.1.3.1 United States of America
9.1.3.2 Canada
9.2 Europe
9.2.1 Historical Trend (2017-2021)
9.2.2 Forecast Trend (2022-2027)
9.2.3 Breakup by Country
9.2.3.1 United Kingdom
9.2.3.2 Germany
9.2.3.3 France
9.2.3.4 Italy
9.2.3.5 Others
9.3 Asia Pacific
9.3.1 Historical Trend (2017-2021)
9.3.2 Forecast Trend (2022-2027)
9.3.3 Breakup by Country
9.3.3.1 China
9.3.3.2 Japan
9.3.3.3 India
9.3.3.4 ASEAN
9.3.3.5 Australia
9.3.3.6 Others
9.4 Latin America
9.4.1 Historical Trend (2017-2021)
9.4.2 Forecast Trend (2022-2027)
9.4.3 Breakup by Country
9.4.3.1 Brazil
9.4.3.2 Argentina
9.4.3.3 Mexico
9.4.3.4 Others
9.5 Middle East and Africa
9.5.1 Historical Trend (2017-2021)
9.5.2 Forecast Trend (2022-2027)
9.5.3 Breakup by Country
9.5.3.1 Saudi Arabia
9.5.3.2 United Arab Emirates
9.5.3.3 Nigeria
9.5.3.4 South Africa
9.5.3.5 Others
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
10.3 Key Indicators for Demand
10.4 Key Indicators for Price
11 Value Chain Analysis
12 Competitive Landscape
12.1 Market Structure
12.2 Company Profiles
12.2.1 Scylla Technologies Inc.
12.2.1.1 Company Overview
12.2.1.2 Product Portfolio
12.2.1.3 Demographic Reach and Achievements
12.2.1.4 Certifications
12.2.2 Altoros
12.2.2.1 Company Overview
12.2.2.2 Product Portfolio
12.2.2.3 Demographic Reach and Achievements
12.2.2.4 Certifications
12.2.3 VMukti Solutions Pvt. Ltd
12.2.3.1 Company Overview
12.2.3.2 Product Portfolio
12.2.3.3 Demographic Reach and Achievements
12.2.3.4 Certifications
12.2.4 Kogniz, Inc.
12.2.4.1 Company Overview
12.2.4.2 Product Portfolio
12.2.4.3 Demographic Reach and Achievements
12.2.4.4 Certifications
12.2.5 AnyConnect Private Limited
12.2.5.1 Company Overview
12.2.5.2 Product Portfolio
12.2.5.3 Demographic Reach and Achievements
12.2.5.4 Certifications
12.2.6 Others
13 Industry Events and Developments
List of Key Figures and Tables
1. Global AI-based Fever Detection Camera Market: Key Industry Highlights, 2017 and 2027
2. Global AI-based Fever Detection Camera Historical Market: Breakup by Type (USD Million), 2017-2021
3. Global AI-based Fever Detection Camera Market Forecast: Breakup by Type (USD Million), 2022-2027
4. Global AI-based Fever Detection Camera Historical Market: Breakup by End User (USD Million), 2017-2021
5. Global AI-based Fever Detection Camera Market Forecast: Breakup by End User (USD Million), 2022-2027
6. Global AI-based Fever Detection Camera Historical Market: Breakup by Region (USD Million), 2017-2021
7. Global AI-based Fever Detection Camera Market Forecast: Breakup by Region (USD Million), 2022-2027
8. North America AI-based Fever Detection Camera Historical Market: Breakup by Country (USD Million), 2017-2021
9. North America AI-based Fever Detection Camera Market Forecast: Breakup by Country (USD Million), 2022-2027
10. Europe AI-based Fever Detection Camera Historical Market: Breakup by Country (USD Million), 2017-2021
11. Europe AI-based Fever Detection Camera Market Forecast: Breakup by Country (USD Million), 2022-2027
12. Asia Pacific AI-based Fever Detection Camera Historical Market: Breakup by Country (USD Million), 2017-2021
13. Asia Pacific AI-based Fever Detection Camera Market Forecast: Breakup by Country (USD Million), 2022-2027
14. Latin America AI-based Fever Detection Camera Historical Market: Breakup by Country (USD Million), 2017-2021
15. Latin America AI-based Fever Detection Camera Market Forecast: Breakup by Country (USD Million), 2022-2027
16. Middle East and Africa AI-based Fever Detection Camera Historical Market: Breakup by Country (USD Million), 2017-2021
17. Middle East and Africa AI-based Fever Detection Camera Market Forecast: Breakup by Country (USD Million), 2022-2027
18. Global AI-based Fever Detection Camera Market Structure
Key Questions Answered in the Report
The market is estimated to grow at a CAGR of 6.1% between 2022 and 2027.
The major drivers of the market include the rising healthcare expenditure, rising prevalence of chronic diseases among adults and geriatrics, rising healthcare awareness, and stringent government regulations in the travel and tourism sector in order to counter the spread of infectious diseases.
The rapid advancements in the medical equipment technology, coupled with the increasing penetration of AI in the healthcare sector are expected to be the key trends guiding the growth of the industry.
What are the major regional markets of AI-based fever detection camera, according to the EMR report?
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
Turret/bullet cameras and handheld cameras are the different types of the product considered in the market report.
Airports, hospitals, public places, enterprises/factories, and banks are the major end users mentioned in the market report.
The major players in the industry are Scylla Technologies Inc., Altoros, VMukti Solutions Pvt. Ltd, Kogniz, Inc., and AnyConnect Private Limited, among others.
Analyst Review
The global AI-based fever detection camera market is being driven by the increasing government spending on public health, rapid development of advanced medical equipment, and growing adoption of the product in various end use industries other than the healthcare. Aided by the increasing penetration of AI in healthcare, the market is expected to witness a further growth in the forecast period of 2022-2027, growing at a CAGR of 6.1%.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on type, the market is divided into turret/bullet cameras and handheld cameras. On the basis of end user, the market is divided into airports, hospitals, public places, enterprises/factories, and banks, among others. The major regional markets for AI-based fever detection camera are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Scylla Technologies Inc., Altoros, VMukti Solutions Pvt. Ltd, Kogniz, Inc., and AnyConnect Private Limited, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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