United States facial recognition market size is projected to exhibit a growth rate (CAGR) of 14.50% during 2024-2032. The growing utilization of enhanced security solutions for identity verification during online transactions, reducing fraud, and improving online security, rising focus on hygiene and contactless interactions, and increasing need to enhance public safety represent some of the key factors driving the market.
Report Attribute
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Key Statistics
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Base Year
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2023 |
Forecast Years
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2024-2032
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Historical Years
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2018-2023
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Market Growth Rate (2024-2032) | 14.50% |
Facial recognition is an advanced technology that is used to identify and verify individuals by analyzing unique facial features. It works by capturing and analyzing various facial characteristics, such as the shape of the face, eyes, nose, and mouth, and even specific details like facial landmarks and skin texture. It can help identify suspects captured on surveillance cameras and locate missing persons. It plays a crucial role in places that require precise identification of individuals. It offers a quick and accurate means of authentication, significantly enhancing security and convenience. It allows organizations to personalize marketing efforts and streamline payment processes. It assists in reducing the risk of unauthorized access to secure areas or devices. Besides this, it aids in streamlining verification processes and saves time. As it is beneficial in preventing identity theft and fraud, the demand for facial recognition is rising in the United States.
The escalating demand for facial recognition in smartphones and tablets to allow users to unlock their devices, access apps, and make secure transactions represents one of the major factors influencing the market positively in the United States. Additionally, the increasing employment of facial recognition in healthcare settings, as it helps with patient identification and access control and improves the efficiency and security of healthcare services, is impelling the growth of the market in the country. Apart from this, there is a rise in the need for facial recognition to enhance public safety. This, coupled with the growing utilization of facial recognition in access control systems to grant or deny entry to secure areas, is offering a positive market outlook in the country. Moreover, the increasing application of facial recognition in e-commerce platforms for identity verification during online transactions, reducing fraud, and improving online security is bolstering the growth of the market. In line with this, advancements in artificial intelligence (AI) and machine learning (ML) algorithms are improving the accuracy and performance of facial recognition systems, which is strengthening the market growth in the US. Furthermore, the rising focus on hygiene and contactless interactions among the masses is providing lucrative growth opportunities to industry investors. In addition, the integration of facial recognition with other biometric technologies, such as fingerprint scanning and iris recognition, to enhance overall security measures is contributing to the market growth in the country. The increasing adoption of facial recognition in organizations to comply with industry-specific regulations and security standards is propelling the market growth.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on component, technology, application, and end use industry.
Component Insights:
The report has provided a detailed breakup and analysis of the market based on the component. This includes software and services.
Technology Insights:
A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes 2d facial recognition, 3d facial recognition, and facial analytics.
Application Insights:
The report has provided a detailed breakup and analysis of the market based on the application. This includes emotion recognition, attendance tracking and monitoring, access control, security and surveillance, and others.
End Use Industry Insights:
A detailed breakup and analysis of the market based on the end use industry have also been provided in the report. This includes retail and e-commerce, BFSI, government and defense, automotive and transportation, media and entertainment, healthcare, telecom and IT, and others.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Northeast, Midwest, South, and West.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Units | US$ Million |
Scope of the Report | Exploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
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Components Covered | Software, Services |
Technologies Covered | 2D Facial Recognition, 3D Facial Recognition, Facial Analytics |
Applications Covered | Emotion Recognition, Attendance Tracking and Monitoring, Access Control, Security and Surveillance, Others |
End Use Industries Covered | Retail and E-commerce, BFSI, Government and Defense, Automotive and Transportation, Media and Entertainment, Healthcare, Telecom and IT, Others |
Regions Covered | Northeast, Midwest, South, West |
Customization Scope | 10% Free Customization |
Report Price and Purchase Option | Single User License: US$ 3699 Five User License: US$ 4699 Corporate License: US$ 5699 |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |