Report

Global facial recognition technology (FRT) market is projected to witness a CAGR of 15.09% during the forecast period 2025-2032, growing from USD 8.08 billion in 2024 to USD 24.87 billion in 2032F owing to its ability to enhance security, streamline processes, and providing personalized experiences. The growing number of fraud cases worldwide is making the adoption of facial recognition technology (FRT) a necessity. All sizes of enterprises, governments firms, and other organizations are seeking facial recognition technology (FRT) to uniquely identify users. In 2023, the rate of cybercrime in India, as measured by complaints per lakh population, was 129. Delhi had the highest rate at 755, followed by Haryana at 381 and Telangana at 261. Local-origin frauds included customer care, refund-based, and KYC expiry frauds, which accounted for 35% of cases. Online booking frauds was 22%, AePS frauds and biometric cloning for 11%, additionally, android malware for 8%, as reported by the CEO of Indian Cyber Coordination Centre (I4C). The increasing number of fraud cases has created a demand for advanced fraud detection technologies, such as facial detection, facial recognition, face verification, face identification, and others, thereby accelerating the growth and demand of the global facial recognition technology (FRT) market.
Advancements in Technology Driving the Facial Recognition Technology (FRT) Market
Significant advancements in artificial intelligence (AI), machine learning (ML), and big data analytics have made face recognition systems more accurate and efficient. Through artificial intelligence (AI) and machine learning (ML) algorithms, large amounts of data can be processed with higher precision enabling facial recognition systems to identify and verify people with the utmost accuracy. Additionally, big data analytics enables systems to learn and improve with time to enhance the overall performance of the system. Moreover, the advent of scalable and accessible cloud-based solutions is further enhancing the usage of these technologies in the facial recognition technology (FRT) sector as it provides an efficient way to process and store a large volume of facial data.
Many players within the facial recognition technology (FRT) market landscape are making significant developments that are adding value to the market. For instance, in December 2024, the Centre for Development of Telematics (C-DOT), the premier telecom R&D center under the Department of Telecommunications (DoT), Government of India, signed an agreement with Trois Infotech for its "Face Recognition Using Drone" technology. The collaboration aims to develop sophisticated drone solutions featuring industrial-grade, long-range cameras tailored for facial recognition, precise edge processing, and smooth real-time data transfer.
Increasing Mobile Device Penetration Driving the Facial Recognition Technology Market
The growth of the facial recognition technology (FRT) market is significantly propelled by the increasing prevalence of mobile devices equipped with advanced facial technology. The Global System for Mobile Communications Association (GSMA), a non-profit industry organization that represents the interests of mobile network operators worldwide, reported that in 2023, there were over half of the global population of approximately 4.3 billion smartphone users globally.
Advanced smartphone technology and the wide use of tablet technology have integrated complex biometric systems which have changed how people interact with their mobile devices. Facial recognition features in applications such as mobile payments, identity verification, and secure app access are rapidly becoming standard features, enhancing user convenience and security. For instance, mobile payment applications use face recognition as a means to verify purchases for customers while offering the option of completing the transaction without the physical cards and password. Similarly, identity verification processes in various sectors, including banking, healthcare, and travel, are increasingly relying on facial recognition to ensure that individuals are who they claim to be, thereby reducing fraud and enhancing security protocols.
The BFSI End-user Segments is Anticipated to Propel the Growth of the Market
The banking, financial services, and insurance (BFSI) sector is estimated to power the growth of the facial recognition technology market due to the growing use of advanced security measures and greater customer satisfaction. Since more and more financial institutions have to meet certain security requirements to protect their clients' data and meet regulatory requirements, FRT for safe authentication and fraud control is obligatory. It not only eases customer identification procedures but also enhances enrollment procedures, enhancing service delivery. In addition, the increasing need for enhanced consumer privacy and customized banking services is compelling for BFSI organizations to adopt others, including FRT solutions, in their digital transformation processes.
Consequently, the FRT market is anticipated to grow rapidly through the forecast period because of the increasing use of new technologies in BFSI industries to increase organizational efficiency and end-user satisfaction. For instance, in November 2024, the Central Bank of Egypt (CBE) unveiled its plans to introduce the Electronic Know Your Customer (eKYC) service by mid-2025 to enable digital verification and authentication of customer identity.
North America Holds a Significant Share of the Facial Recognition Technology Market
Facial recognition technology holds the largest market share in the North American region, driven by factors such as advanced infrastructural development and the diverse sectors that are adopting facial recognition solutions. Currently, the region is experiencing a growing need for enhanced security and video surveillance, especially in the government and defense industries where facial recognition is used for law enforcement and security improvements.
Also, the North American market remains a prominent market in the development, and improvement of facial recognition technologies and investment processes to satisfy increasing security and identification demands. Besides, machine learning is helping facial recognition technology coupled with IoT devices together with the advent of 5G technology will increase the demand for facial recognition technology in the coming future. From the outlook, the region is anticipated to maintain the majority of share of the facial recognition technology (FRT) market because of the constant development of technology and rising security threats.
Future Market Scenario (2025 - 2032F)
- The rising number of fraud cases, where the rates of cybercrime are relatively high, is expected to drive the need for more advanced identification solutions. Facial recognition technology is being implemented in organizations across different sectors for enhanced security and streamlined user verification processes adding value to the facial recognition technology (FRT) market.
- The advancement in AI, machine learning, and big data analytics is anticipated to increase the accuracy and efficiency of face recognition systems to accurately identify and verify. Also, growing scalable cloud-based solutions will further improve the efficiency of these technologies with massive processing and storage volumes for facial data.
- The growing smartphone penetration is estimated to drive the adoption of facial recognition technology. Also, the rapid integration of facial recognition technology into applications such as mobile payments, identity verification, and secure app access is expected to drive the facial recognition technology (FRT) market.
- The BFSI industry would be a significant growth enabler for the facial recognition technology market, as financial companies develop high-security measures against malicious data and client fraud through the use of advanced technology.
- North America has the major facial recognition technology market share in the world as it has made large investments into advanced security systems, while at the same time gaining greater governmental and defense acceptance. Strong growth factors will come through the integration of facial recognition into devices with IoT capabilities, deployment of 5G, and enhanced surveillance solution demand.
Key Players Landscape and Outlook
The facial recognition technology (FRT) market is moderately fragmented, with the presence of many tech giants like Thales and Microsoft alongside many small vendors competing to establish their presence within the market. The majority of players are focusing on forming strategic alliances with the retailers, distributors, and system integrators to their customer base. For instance, in February 2024, a US-based startup Metalenz, Inc., dedicated to developing and commercializing metasurface technologies for consumer products, signed a partnership with Samsung Electronics Co., Ltd., to combine a top Samsung image sensor with Metalenz's novel product for mobile facial recognition. As part of the collaboration, Metalenz will use the Samsung ISOCELL Vizion 931 global shutter sensor in the Polar ID camera that is set to be publicly unveiled at the Mobile World Congress (MWC) event in Barcelona this week.
Additionally, significant investment growth is propelling the facial recognition technology market. Major players in the industry continue to invest in research and development for better accuracy, efficiency, and applications of facial recognition systems. For instance, in August 2024, A Dutch scale-up from Enschede, 20face, which provides privacy-proof facial recognition software, reported the completion of �1.3M funding this week. The investment is made up of new and current shareholders Value Creation Capital, Oost NL, and Twining Participations.
Furthermore, new product launches are driving the facial recognition technology market. Various companies are launching advanced products to meet the changing demands of different industries. For instance, in August 2024, Airtel Payments Bank introduced Face Match, a new security feature aimed at safeguarding customer accounts against fraudulent activities. This feature employs sophisticated machine learning algorithms to evaluate potential threats and initiate facial recognition verification when needed. Face Match operates by examining multiple factors, such as user behavior, transaction patterns, location data, historical records, and device signals. If a user's actions generate a specific threat score, Face Match is triggered, prompting the user to confirm their identity by taking a selfie.