Face Mask Detection Market Statistics: 2030
The face mask detection market size was valued at $1.8 billion in 2020, and is projected to reach $4.1 billion by 2030, registering a CAGR of 8.1% from 2021 to 2030. The COVID-19 pandemic has increased global attention to healthcare and public safety standards designed to stop (or at least slow) the spread of the coronavirus. Many precautionary safety measures were implemented across the world, ranging from sanitization of public spaces/areas to strict home quarantine for individuals. For most circumstances, wearing a face mask was proven to be one of the most efficient strategies to prevent the transmission of the SARS-CoV-2 coronavirus. This prompted local governments and authorities in many countries to impose stringent face mask-wearing rules and regulations; this regulation has propelled the growth of the face mask detection system market.
In 2020, the global face mask detection market share was dominated by the hardware, and is expected to maintain its dominance in the upcoming years. The surge in need of hardware devices for surveillance and safety and the need of hardware devices due to government guidelines across various sectors drive the growth of the hardware component for face mask detection market.
Within the market, the software segment is estimated to emerge as the fastest growing segment, The rapid increase in the volume of security and verticals data and the ever-increasing automation of business processes across many end-to-end industries such as retail, manufacturing, health care, and transportation are expected to further boost the demand for face recognition software during the forecast period.
The report focuses on the growth prospects, restraints, and face mask detection market analysis. The study provides Porter’s five forces analysis of the face mask detection industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the network security market trends.
The face mask detection industry is primarily segmented into technology, component, application, and region. By component, the market is bifurcated into hardware and services. By technology, the market is classified into optical and e-beam. By application, the market is categorized into airport, hospital, and others. By region, the face mask detection market is studied across North America, Europe, Asia Pacific and LAMEA.
COVID Impact Analysis
Post COVID-19, the size of the global face mask detection market was valued at $1.8 billion in 2020, and face mask detection market forecast is projected to reach $4.1 billion by 2030.
The COVID-19 pandemic triggered a recession period for many business sectors, forcing brick and mortar stores all over the world to change the way they used to operate their business. Once the lockdown protocols were eased by state governments, heavy social distancing and isolation norms were implemented (often enforced by local government authorities) for people stepping outside their homes during the pandemic; face masks and temperature checks for consumers were implemented outside malls and shopping complexes. Moreover, businesses with employees returning to the office were instructed to enforce face masks, proper sanitation, and social distancing rules inside the office buildings as well. These trends mandated the installation of face mask detection system, thereby propelling the market growth.
Top impacting factors
Focus on increase in public safety standards and the need for safer return to work solution is the primary factor that drives the market growth. However, surge in user concerns about data privacy and end of face mask compulsion rules in public places limit the market growth. Further, rise in adoption of face mask in transportation sectors and deployment in containment zones create lucrative growth opportunities for the face mask detection market growth.
Adoption of face mask detection systems in transportation sectors
Face mask detection systems have increased their presence in places with a higher risk of COVID-19 infections like train stations and airports. The face mask detection system, can be integrated with the pre-existing airport security cameras at airports to detect passengers without suitable face masks. If a passenger is found to be missing a face mask, their photo is submitted to airport officials so that necessary action can be taken. If the person's facial profile is already registered in the system, such as the face of an airport staff, an alert can be sent to the employee's phone to don their face mask immediately.
e-beam segment is projected as one of the most lucrative segments.
This application of face mask detection systems can help assure the safety of passengers travelling amidst the pandemic and help slow the spread of the coronavirus, thereby creating a lucrative opportunity for the overall face mask detection market.
Deployment in containment zones:
COVID-19 pandemic will still take some time to stabilize, which directly creates the demand for face mask detection solution. According to a statement released by Pfizer-BioNTech, forecasts that the coronavirus will never be totally eradicated from the world and would instead reoccur as an epidemic in various locations. Strict precautions may be required in the future to restrict the spread of the coronavirus and prevent it from becoming a full-fledged pandemic. This might open up new avenues for the face mask detection systems industry in the future. Face mask detection systems can be deployed in high-risk containment zones to enforce strict face mask regulations for the protection of the residents in that containment zone and limit the spread to a particular area.
APAC is projected as one of the most significant region.
Key Benefits For Stakeholders
- The study provides an in-depth analysis of the Face Mask Detection market growth along with current trends and future estimations to elucidate imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on the face mask detection market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of Face Mask Detection market for the period 2020–2030 is provided to determine the face mask detection market trends.
Face Mask Detection Market Report Highlights
Key Market Players
NEC Corporation, Microsoft Corporation, Asura Technologies, Canaan Inc., Sightcorp, Trident Information Systems Pvt. Ltd, LeewayHertz, InData Labs, Mobisoft Infotech LLC, Aerialtronics
According to CXOs of the major companies, The North American market is expected to lead by holding the highest share during the forecast period. The growth is due to factors such as the growth of infrastructure, as well as the increasing adoption of face mask detection solutions in various sectors such as hospitals and airports. Key market players in the region as well as a startup’s offer facial recognition solutions to meet growing needs in a variety of sectors. In addition to this, the US government and major market players are focused on initial investment and projects that are likely to advance the adoption of face mask detection technologies. Moreover Government initiatives and adoption of new ICT technologies such as machine learning and AI are providing ample growth opportunities in the region.
In addition, the growing number of investments in security and surveillance, due to high crime rates and outbreaks of viruse, is leading to increased public awareness. Because of these factors, the market is growing in the Asia-Pacific region.
The face mask detection market is competitive and comprises a number of regional and global vendors competing based on factors such as cost of solutions & services, reliability, efficiency of products, and support services. The market is concentrated with major players consuming 45-50% of the share. The degree of concentration is expected to remain same during the forecast period. Face mask detection systems have increased their presence in places with a higher risk of COVID-19 infections like train stations and airports. The Face Mask Detection System, which could be integrated with the pre-existing airport security cameras, can be used at airports to detect passengers who do not wear suitable face masks. Passengers' faces can be collected in the system upon admission