市场调查报告书
商品编码
1489362
全球脸部辨识市场预测(~2030 年):按组件、应用、最终用户和地区进行全球分析Facial Recognition Market Forecasts to 2030 - Global Analysis By Component, Application, End User and By Geography |
根据Stratistics MRC预测,2023年全球脸部辨识市场规模将达66亿美元,预计2030年将达到224亿美元,预测期内复合年增长率为19.2%。脸部认证是一种生物辨识技术,透过分析和比较脸部特征模式来识别和验证个人。该技术使用演算法来映射独特的特征,例如眼睛之间的距离、鼻子的形状和下巴轮廓,以创建面部特征,通常称为面部指纹。将这些脸部指纹与资料库中储存的脸部指纹进行比较,或与现实生活中的影像进行比较,以验证和识别该人。此外,脸部认证也用于解锁智慧型手机和其他设备,提供方便且安全的身份验证方法。
根据刑事司法委员会的数据,2022 年上半年美国主要城市的窃盗和抢劫案件增加了约 20%。根据中国互联网络资讯中心(CNNIC)统计,2018年全国约有5.834亿人使用行动付款,2017年使用行动支付的人数为5.27亿人。
对非接触式解决方案的需求不断增长
随着人们越来越关注尽量减少身体接触,脸部辨识技术已成为各领域引人注目的解决方案。在零售、银行、交通和医疗保健领域,脸部认证整合可实现无缝、非接触式身分验证流程,提升使用者便利性和安全性。此外,脸部辨识系统提供强大的安全措施,保护敏感资料和设施,同时简化存取控制。此外,脸部辨识演算法的进步提高了准确性和可靠性,推动了进一步的采用。
资料安全风险
资料安全风险是脸部辨识市场成长的主要障碍。对脸部辨识系统中储存的敏感个人资料的未授权存取、滥用和潜在洩漏的担忧正在阻止消费者和企业采用这些技术。监管审查和不断发展的资料保护法(例如欧洲的GDPR 和世界各地的类似法规)对生物识别资讯的收集、储存和处理提出了严格的要求,给从事该领域运营的公司带来了合规性挑战,并造成了负担。因此,企业对于投资脸部辨识解决方案犹豫不决,因为担心资料安全性差的后果,阻碍市场成长。
生物识别系统的采用增加
由于越来越多地采用生物识别系统、增强安全措施并简化各个领域的认证流程,脸部认证市场正在显着扩大。生物识别系统,特别是那些利用脸部辨识技术的系统,具有高精度和便利性,使其对从执法到消费性电子产品的广泛应用越来越有吸引力。随着越来越多的组织和政府认识到生物识别在增强安全通讯协定方面的价值,对脸部辨识解决方案的需求持续飙升。
隐私问题
隐私问题是脸部认证市场成长的主要障碍。该技术可以从图像和影片中识别个人,引发了人们对其可能被滥用的担忧。人们担心个人隐私和公民自由可能会受到侵犯,特别是在严格审查的公共场所。脸部资料的收集和储存引发了对政府和企业未授权存取、资料外洩以及滥用敏感资讯的担忧。然而,脸部辨识方面缺乏强有力的法规和标准加剧了这些担忧,并使个人容易受到潜在的滥用。
COVID-19大流行对脸部辨识市场产生了重大影响。口罩是预防病毒感染的必要措施,口罩的普及给依赖脸部完全可见性的脸部辨识系统带来了挑战。随着企业寻求适应新常态,这种流行病加速了脸部辨识系统的开发和采用,该系统具有改进的口罩检测能力。总体而言,COVID-19 为脸部辨识市场带来了挑战,但也刺激了创新和适应,导致适合疫情后情况的更强大、更通用的解决方案的发展。
预计在预测期内,出勤追踪和监控部分将是最大的
预计在预测期内,出勤追踪和监控部分将是最大的部分。透过整合脸部辨识技术,公司可以简化时间和出勤追踪流程,消除手动签到的需要,并减少出现错误和不准确的可能性。该技术提供了一种无缝、高效的方式来验证个人身份,并实现更可靠的考勤资料收集。此外,脸部辨识系统可以透过准确识别授权人员并侦测未授权存取尝试来增强安全措施。
预计软体领域在预测期内的复合年增长率最高。
预计软体领域在预测期内的复合年增长率最高。透过深度学习技术,软体开发人员正在使脸部辨识系统更加准确、高效和多功能。这些进步包括强大的脸部侦测、改进的脸部特征识别以及在照度和各种角度等挑战性条件下增强的功能。此外,软体解决方案越来越多地与其他技术(如人工智慧和机器学习)集成,使脸部辨识系统能够适应资料并从数据中学习,从而随着时间的推移提高性能。
预计亚太地区在预测期内将占据最大的市场份额。行动装置在该地区已变得无处不在,其普及是脸部辨识技术普及的催化剂。这种整合不仅简化了使用者体验,而且还促进了安全生物识别身份验证方法的采用,作为传统密码和密码 的替代方案。此外,该地区智慧型手机市场的蓬勃发展,加上人们对资料安全和身分盗窃日益增长的担忧,进一步推动了对脸部辨识设备的需求。
预计亚太地区在整个预测期内将保持盈利成长。亚太地区的政府法规透过提供部署框架并确保负责任的使用,在加强脸部辨识市场方面发挥关键作用。该地区的这些法规在消费者和企业之间建立了信任感,促进了脸部辨识技术的广泛接受和采用。此外,政府对机场、边境管制和执法等安全和监视目的的要求正在推动该地区对脸部辨识系统的需求。
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.