PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1489362
PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1489362
According to Stratistics MRC, the Global Facial Recognition Market is accounted for $6.6 billion in 2023 and is expected to reach $22.4 billion by 2030 growing at a CAGR of 19.2% during the forecast period. Facial recognition is a biometric technology that identifies or verifies individuals by analyzing and comparing patterns in their facial features. This technology utilizes algorithms to map unique characteristics such as the distance between the eyes, nose shape, and jawline to create a facial signature, often referred to as a faceprint. These faceprints are then compared to those stored in a database or against a live image to authenticate or identify individuals. Moreover, facial recognition is utilized in unlocking smartphones and other devices, providing a convenient and secure method for authentication.
According to the Council on Criminal Justice, thefts and robberies in major cities across the United States increased by around 20% in the first half of 2022. According to the China Internet Network Information Center (CNNIC), around 583.4 million people have preferred mobile payment transactions across the country in 2018 and 527 million users in 2017.
Rising demand for contactless solutions
With an increased emphasis on minimizing physical contact, facial recognition technology has emerged as a compelling solution across various sectors. In retail, banking, transportation, and healthcare, the integration of facial recognition enables seamless, touchless authentication processes, enhancing both convenience and safety for users. Additionally, facial recognition systems offer robust security measures, safeguarding sensitive data and premises while streamlining access control. Moreover, advancements in facial recognition algorithms have enhanced accuracy and reliability, further driving adoption.
Data security risks
Data security risks pose a significant impediment to the growth of the facial recognition market. Concerns about the unauthorized access, misuse, or potential breaches of sensitive personal data stored within facial recognition systems deter both consumers and businesses from adopting these technologies. Regulatory scrutiny and evolving data protection laws, such as GDPR in Europe and similar regulations worldwide, impose strict requirements on the collection, storage, and processing of biometric information, adding compliance burdens and potential liabilities for companies operating in this space. As a result, businesses hesitate to invest in facial recognition solutions, fearing the repercussions of data security lapses, thereby impeding the market's growth.
Increasing adoption of biometric systems
The increasing adoption of biometric systems is substantially enhancing the Facial Recognition Market by bolstering security measures and streamlining authentication processes across various sectors. Biometric systems, particularly those utilizing facial recognition technology, offer a high level of accuracy and convenience, making them increasingly attractive for applications ranging from law enforcement to consumer electronics. As more organizations and governments recognize the value of biometric authentication in enhancing security protocols, the demand for facial recognition solutions continues to surge.
Privacy concerns
Privacy concerns pose a significant obstacle to the growth of the facial recognition market. With the technology's capability to identify individuals from images or video feeds, there's a growing unease about its potential misuse. Many fear the infringement upon personal privacy and civil liberties, especially in public spaces where surveillance is prevalent. The collection and storage of facial data raise concerns about unauthorized access, data breaches, and the misuse of sensitive information by governments or corporations. However, the lack of robust regulations and standards for facial recognition exacerbates these worries, leaving individuals vulnerable to potential abuses.
The COVID-19 pandemic significantly impacted the facial recognition market due to the widespread use of face masks, a necessary measure to prevent virus transmission, posed a challenge to facial recognition systems reliant on full facial visibility. The pandemic accelerated the development and adoption of facial recognition systems with improved mask detection capabilities, as companies sought to adapt to the new normal. Overall, while COVID-19 presented challenges to the facial recognition market, it also spurred innovation and adaptation, leading to the evolution of more robust and versatile solutions suited to the post-pandemic landscape.
The attendance tracking and monitoring segment is expected to be the largest during the forecast period
Attendance Tracking and Monitoring segment is expected to be the largest during the forecast period. By integrating facial recognition technology, companies can streamline attendance tracking processes, eliminating the need for manual check-ins and reducing the likelihood of errors or inaccuracies. This technology offers a seamless and efficient way to verify the identity of individuals, allowing for more reliable attendance data collection. Moreover, facial recognition systems can enhance security measures by accurately identifying authorized personnel and detecting unauthorized access attempts.
The Software segment is expected to have the highest CAGR during the forecast period
Software segment is expected to have the highest CAGR during the forecast period. Through deep learning techniques, software developers are refining facial recognition systems to be more accurate, efficient, and versatile. These advancements include robust face detection, improved recognition of facial features, and enhanced capabilities in challenging conditions such as low light or varying angles. Moreover, software solutions are increasingly integrating with other technologies like artificial intelligence and machine learning, enabling facial recognition systems to adapt and learn from data, thereby improving their performance over time.
Asia Pacific region is expected to register largest share of the market over the extrapolated period. As mobile devices become ubiquitous across the region, their widespread adoption serves as a catalyst for the proliferation of facial recognition technology. This integration not only simplifies the user experience but also promotes the adoption of secure biometric authentication methods, replacing traditional passwords and PINs. Moreover, the region's thriving smartphone market, coupled with increasing concerns over data security and identity theft, further drives the demand for facial recognition-enabled devices.
Asia Pacific region is poised to hold profitable growth throughout the projection period. Government regulations in the Asia Pacific region are playing a substantial role in enhancing the Facial Recognition Market by providing a framework for its deployment and ensuring its responsible use. These regulations in the region create a sense of trust among consumers and businesses, fostering wider acceptance and adoption of facial recognition technology. Moreover, government mandates for security and surveillance purposes, such as in airports, border control, and law enforcement, are driving the regional demand for facial recognition systems.
Key players in the market
Some of the key players in Facial Recognition market include Aware, Inc, Ayonix Corporation, Cognitec Systems GmbH, Daon, Inc, FacePhi, Fujitsu, Gemalto NV, NEC Corporation, Onfido and Thales.
In April 2023, Apple revealed that face recognition will be added to its following iPhone models. Face ID is a function that employs a TrueDepth camera system to scan and authenticate a user's face.
In February 2023, Microsoft announced the acquisition of Face++, a top Chinese face recognition business. Microsoft gained access to Face++'s technology and experience, which it said would help it extend its face recognition products in the Chinese market.
In September 2022, CyberLink Corporation successfully integrated its FaceMe AI facial recognition engine into MediaTek's AIoT platform, Genio 1200. This integration empowers IoT/AIoT developers and system integrators with precise facial recognition capabilities suitable for a wide range of industries and applications, including security, access control, public safety, smart banking, and smart retail.
In March 2022, Cognitec joined the Salto Group, adding the German company's facial biometrics technology to the portfolio of the Spanish electronic security and access control company. It is anticipated that the acquisition will increase Cognitec's research and development efforts and product line market penetration as the company collaborates with Salto to develop new technologies for developing biometric markets.