![]() |
市場調查報告書
商品編碼
1489362
全球臉部辨識市場預測(~2030 年):按組件、應用、最終用戶和地區進行全球分析Facial Recognition Market Forecasts to 2030 - Global Analysis By Component, Application, End User and By Geography |
根據Stratistics MRC預測,2023年全球臉部辨識市場規模將達66億美元,預計2030年將達到224億美元,預測期內複合年成長率為19.2%。臉部認證是一種生物辨識技術,透過分析和比較臉部特徵模式來識別和驗證個人。該技術使用演算法來映射獨特的特徵,例如眼睛之間的距離、鼻子的形狀和下巴輪廓,以創建面部特徵,通常稱為面部指紋。將這些臉部指紋與資料庫中儲存的臉部指紋進行比較,或與現實生活中的影像進行比較,以驗證和識別該人。此外,臉部認證也用於解鎖智慧型手機和其他設備,提供方便且安全的身份驗證方法。
根據刑事司法委員會的數據,2022 年上半年美國主要城市的竊盜和搶劫案件增加了約 20%。根據中國網際網路絡資訊中心(CNNIC)統計,2018年全國約有5.834億人使用行動付款,2017年使用行動支付的人數為5.27億人。
對非接觸式解決方案的需求不斷成長
隨著人們越來越關注盡量減少身體接觸,臉部辨識技術已成為各領域引人注目的解決方案。在零售、銀行、交通和醫療保健領域,臉部認證整合可實現無縫、非接觸式身分驗證流程,提升使用者便利性和安全性。此外,臉部辨識系統提供強大的安全措施,保護敏感資料和設施,同時簡化存取控制。此外,臉部辨識演算法的進步提高了準確性和可靠性,推動了進一步的採用。
資料安全風險
資料安全風險是臉部辨識市場成長的主要障礙。對臉部辨識系統中儲存的敏感個人資料的未授權存取、濫用和潛在洩漏的擔憂正在阻止消費者和企業採用這些技術。監管審查和不斷發展的資料保護法(例如歐洲的GDPR 和世界各地的類似法規)對生物識別資訊的收集、儲存和處理提出了嚴格的要求,給從事該領域營運的公司帶來了合規性挑戰,並造成了負擔。因此,企業對於投資臉部辨識解決方案猶豫不決,因為擔心資料安全性差的後果,阻礙市場成長。
生物識別系統的採用增加
由於擴大採用生物識別系統、增強安全措施並簡化各個領域的認證流程,臉部認證市場正在顯著擴大。生物識別系統,特別是那些利用臉部辨識技術的系統,具有高精度和便利性,使其對從執法到消費性電子產品的廣泛應用越來越有吸引力。隨著越來越多的組織和政府認知到生物識別在增強安全通訊協定方面的價值,對臉部辨識解決方案的需求持續飆升。
隱私問題
隱私問題是臉部認證市場成長的主要障礙。該技術可以從圖像和影片中識別個人,引發了人們對其可能被濫用的擔憂。人們擔心個人隱私和公民自由可能會受到侵犯,特別是在嚴格審查的公共場所。臉部資料的收集和儲存引發了對政府和企業未授權存取、資料外洩以及濫用敏感資訊的擔憂。然而,臉部辨識方面缺乏強力的法規和標準加劇了這些擔憂,並使個人容易受到潛在的濫用。
COVID-19大流行對臉部辨識市場產生了重大影響。口罩是預防病毒感染的必要措施,口罩的普及給依賴臉部完全可見性的臉部辨識系統帶來了挑戰。隨著企業尋求適應新常態,這種流行病加速了臉部辨識系統的開發和採用,該系統具有改進的口罩檢測能力。總體而言,COVID-19 為臉部辨識市場帶來了挑戰,但也刺激了創新和適應,導致適合疫情後情況的更強大、更通用的解決方案的發展。
預計在預測期內,出勤追蹤和監控部分將是最大的
預計在預測期內,出勤追蹤和監控部分將是最大的部分。透過整合臉部辨識技術,公司可以簡化時間和出勤追蹤流程,消除手動簽到的需要,並減少出現錯誤和不準確的可能性。該技術提供了一種無縫、高效的方式來驗證個人身份,並實現更可靠的考勤資料收集。此外,臉部辨識系統可以透過準確識別授權人員並偵測未授權存取嘗試來增強安全措施。
預計軟體領域在預測期內的複合年成長率最高。
預計軟體領域在預測期內的複合年成長率最高。透過深度學習技術,軟體開發人員正在使臉部辨識系統更加準確、高效和多功能。這些進步包括強大的臉部偵測、改進的臉部特徵識別以及在照度和各種角度等挑戰性條件下增強的功能。此外,軟體解決方案擴大與其他技術(如人工智慧和機器學習)整合,使臉部辨識系統能夠適應資料並從數據中學習,從而隨著時間的推移提高性能。
預計亞太地區在預測期內將佔據最大的市場佔有率。行動裝置在該地區已變得無處不在,其普及是臉部辨識技術普及的催化劑。這種整合不僅簡化了使用者體驗,而且還促進了安全生物識別身份驗證方法的採用,作為傳統密碼和密碼 的替代方案。此外,該地區智慧型手機市場的蓬勃發展,加上人們對資料安全和身分盜竊日益成長的擔憂,進一步推動了對臉部辨識設備的需求。
預計亞太地區在整個預測期內將保持盈利成長。亞太地區的政府法規透過提供部署框架並確保負責任的使用,在加強臉部辨識市場方面發揮關鍵作用。該地區的這些法規在消費者和企業之間建立了信任感,促進了臉部辨識技術的廣泛接受和採用。此外,政府對機場、邊境管制和執法等安全和監視目的的要求正在推動該地區對臉部辨識系統的需求。
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.