Face Mask Detection Market by Component (Hardware and Software), End-use (Retail, Corporate Infrastructure, Airports, Hospitality, and Others), and Regional Analysis (North America, Europe, Asia-Pacific, and LAMEA): Global Opportunity Analysis and Industry Forecast, 2021–2028

Global Face Mask Detection Market Analysis

The global face mask detection market size is predicted to garner $3,040.9 million in the 2021–2028 timeframe, growing from $1,191.6 million in 2020, at a high CAGR of 10.9%.

Market Synopsis

Rising cases of COVID-19 infection, growing worldwide mandates to use masks, and enhancements in face detection technology such as use of artificial intelligence (AI) and machine learning (ML) are the key factors expected to drive face mask detection market.

However, the concerns about data privacy and lack of data protection protocols across world are likely to restrain the growth of the global industry during the forecast period.

According to the regional analysis of the market, the Europe face mask detection market is anticipated to grow at a CAGR of 12.0%, by generating a revenue of $696.4 million during the review period.

Face Mask Detection Overview

Face mask detection is an image analytics technology powered by artificial intelligence (AI) and computer vision that addresses Covid-19 noncompliance. Its AI programme detects violations such as face mask detection and social distance detection. This system can be used in hospitals, office buildings, manufacturing plants, government offices, schools, educational institutes, construction sites, and airports, among other places. Real-time alerts can be generated by the camera with AI-based face mask detection and social distance monitoring. Face mask identification employs the camera's visible stream mixed with AI algorithms to recognize and inform people who aren't wearing face masks. In the fight against the corona virus, social distance has proven to be a highly effective strategy for slowing the disease's transmission.

Impact Analysis of COVID-19 on the Global Face Mask Detection Market

Many business sectors experienced a downturn as a result of the COVID-19 epidemic, pushing brick-and-mortar retailers around the world to adapt their business models. After state governments eased the lockdown guidelines, people moving outdoors during the pandemic faced heavy social distancing and isolation norms (often imposed by local government authorities); face masks and temperature checks for consumers were instated outside malls and shopping complexes. Additionally, organizations with employees returning to work were told to enforce face masks, appropriate hygiene, and social distancing guidelines inside the workplace. These developments necessitated the construction of a face mask detecting system, resulting in market expansion.

Compulsion of Face Mask Usage for high Public Safety in the Wake of Pandemic is likely to Drive the Market Growth

Worldwide, the COVID-19 outbreak has posed a severe healthcare concern. COVID-19 infection is spread mostly through respiratory droplets produced when people breathe, talk, cough, or sneeze, as per the U.S. based Centers for Disease Control and Prevention (CDC). The basic, effective, and practical technique of blocking 80% of all respiratory infections is to wear a mask. As a result, a variety of face mask detection and monitoring technologies have been created to provide effective supervision in public places such as airports, publication transit, hospitals, sporting events, and retail locations.

Wearing a face mask, in addition to social distancing, is an effective strategy to keep the people safe during the COVID-19 pandemic. According to studies, wearing a mask can reduce the risk of infection by 65%. The utility of face masks increased when the virus's 'Delta' form demonstrated overwhelming dominance in the UK, accounting for 99% of recent infections. In August 2021, the United Kingdom had the most Delta variant cases of around 127,633. Also, as per the data recorded by Global Data’s Pharma Intelligence Centre, the United States had the second greatest number of instances, with 75,525 cases followed by India, Turkey, and Denmark. As such, the face mask detection technology will prove as an alternative to keep in check the spread of virus and limit the growth of infections.

To know more about global face mask detection market drivers, get in touch with our analysts here.

Privacy Concerns and Accuracy in Mask Detection to Restrain the Growth of the Global Industry

Accuracy of face mask detection and privacy concerns among citizens are likely to impede the growth of the face mask detection market. However, the developers of mask recognition software deny the issue of privacy concerns as the systems do not truly identify the people. Such software is based on the algorithm how to recognize a face (face detection) and recognize a mask on a face ("mask recognition"). As it doesn't employ algorithms that identify with faces, the machine learning algorithm doesn't recognize the faces in any manner that can connect a face to a specific individual.

Innovative Technologies to Detect Face Mask are likely to Foster the Growth of Face Mask Detection

The current technologies are evolving to detect the face masks more accurately and precisely. In April 2020, US based software solution provider, LeewayHertz, unveiled its Face Mask Detection System, an app that detects persons who aren't wearing a face mask using CCTV, computer vision, and AI. The software was developed with public places such as airports, hospitals, and businesses in mind, and it alerts CCTV operators to personnel and members of the public who are not following mask guidelines. Furthermore, those behind the software that recognize masks are convinced that privacy laws will be upheld because the algorithms don't identify the person, only the fact that their nose and mouth aren't covered. Such developments will present growing opportunities for public departments to adopt face mask detection solutions and monitor the public without infringing privacy rights.

To know more about the global face mask detection market opportunities, get in touch with our analysts here.

Source: Research Dive Analysis

The software sub-segment is predicted to have a dominating market share in the global market with a revenue of $664.9 million in 2020 and register a revenue of $1,731.5 million during the forecast period with the fastest CAGR of 11.3%. As per the face mask detection trends, software solution can be used with any IP camera and integrated into the customer's information system. The software market occupies largest market share owing to its ease of deployment on existing CCTV infrastructure and less requirement for any dedicated camera or hardware system.

The hardware sub-segment is predicted to have substantial growth rate in the global market with a revenue of $526.7 million in 2020 and register a revenue of $1,309.4 million during the forecast period, growing at a CAGR of 10.7%. Owing to growing pandemic, the governments across the world are adopting IP CCTV cameras and thermal imaging cameras which are being used to assure reliable video surveillance that is likely to fuel market growth.

Source: Research Dive Analysis

The airports sub-segment of the global face mask detection market is projected to have dominating market share and surpass $842.0 million by 2028, with an increase from $338.0 million in 2020. To mitigate the spread of COVID-19, the installation of face mask detection system has become imperative for the authorities to detect people who are not wearing masks. If a passenger is discovered without a face mask, their photo is given to airport authorities so that they can take immediate action. Moreover, growing installation of face mask detection solutions at airports across the world has contributed to rise in face mask detection market demand in the sub-segment.

The retail sub-segment of the global face mask detection market is projected to have highest growth rate and reach $452.3 million by 2028, with an increase from $167.1 million in 2020. With the opening of public places such as retail shops, malls, and restaurants, and uplifting restrictions on the movement of public, the monitoring of citizens wearing mask has become imminent. Moreover, owing to the growing number of instore shoppers and growing concerns over the rising number of coronavirus cases, face mask detection market is likely to witness growth in the sub-segment.

Source: Research Dive Analysis

The Face Mask Detection Market in Europe to be the Fastest Growing

The Europe face mask detection systems market accounted $255.5 million in 2020 and is projected to register a revenue of $696.4 million during the forecast period. Face masks are required in public venues such as public transportation, religious buildings, commercial facilities, and market locations in a number of European countries, including Germany, France, and Poland. Furthermore, a surge in occurrences of other coronavirus variations such as Delta and Omicron has raised the need for public surveillance using face masks. As a result, the region's market is expected to increase significantly in the future years.

Competitive Scenario in the Global Face Mask Detection Market

Product launches and mergers & acquisitions are common strategies followed by major market players.

Source: Research Dive Analysis

Face mask detection market share has been accounted by key players including Trident Info, LeewayHertz, Sightcorp, Neuromation, Accubits Technologies, Aerialtronices, LogMask, Intelligent Security Systems, Sensource Inc, and NEC Corporation. The market is considerably fragmented and accounted by large number of small players.

In January 2021, NEC Corporation, a Japanese biometrics company, introduced a facial-recognition system designed exclusively for recognizing persons wearing masks, which it claims is 99.9% accurate and takes less than one second to verify.

Porter’s Five Forces Analysis for the Global Face Mask Detection Market:

• Bargaining Power of Suppliers: In terms of professional experience, there is dearth of software professionals implementing artificial intelligence and machine learning. With low number of AI and ML professionals available in the market, their bargaining power increases. Owing to which, it will be challenging for companies in terms of cost to recruit qualified professionals. 
  Thus, the bargaining power of the suppliers is high.
• Bargaining Power of Buyers: The buyers gain low amount of bargaining power due to presence of few industry players in the face mask detection industry. However, the switching cost for buyers is low and low product differentiation offered by companies weakens the bargaining power of vendors. 
  Thus, the bargaining power of the buyers is moderate.
• Threat of New Entrants: In information technology industry, there are very few entry barriers owing to low capital investment and economies of scale, giving new entrants the opportunity to begin their venture. However, with technological advanced products offered by the key manufacturers would slightly impede the entry of new startups.
  Thus, the threat of the new entrants is moderate.
• Threat of Substitutes: In terms of competition, use of CCTV and manual monitoring by the authorities is the tedious task. Moreover, technology being novel, no similar substitute is available in the market.
  Thus, the threat of substitutes is low.
• Competitive Rivalry in the Market: The market is fundamentally fragmented with substantial number of small players. Owing to price differentiation, low capital investment, and low entry barriers, competition rivalry in the market is likely to be grow over the forecast period. 
  Therefore, the competitive rivalry in the market is moderate.