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세계의 얼굴 인식 시장 규모, 점유율, 동향 분석 보고서 : 조직 규모별, 배포 모드별, 제공 제품별, 기술별, 용도별, 산업별, 지역별 전망 및 예측(2024-2031년)
Global Facial Recognition Market Size, Share & Trends Analysis Report By Organization Size, By Deployment Mode, By Offering, By Technology, By Application, By Vertical, By Regional Outlook and Forecast, 2024 - 2031
상품코드 : 1473017
리서치사 : KBV Research
발행일 : 2024년 04월
페이지 정보 : 영문 403 Pages
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한글목차

얼굴 인식 시장 규모는 예측 기간 동안 14.5%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 168억 달러에 달할 것으로 예상됩니다.

KBV Cardinal Matrix에 제시된 분석에 따르면 Microsoft Corporation은 2024년3월Microsoft Corporation은 사진 관리를 개선하기 위해 얼굴을 인식하고 관계를 기반으로 사진을 그룹화하는 새로운 AI를 발표하여 인식 기술을 확장했습니다. AI를 발표함으로써 인식 기술을 확장했습니다. 이러한 확장을 통해 Microsoft는 인식 기능을 지속적으로 개발하고 개선하여 디지털 상호 작용 및 개인 정보 보호의 미래를 형성하고 있으며 NEC Corporation, Thales Group SA 및 Cognitec Systems GmbH와 같은 회사는 시장의 주요 혁신 기업 중 일부입니다. 혁신가들 중 일부입니다.

출처: KBV 리서치 분석, 기업 간행물 및 2차 조사

촉진요인과 억제요인

촉진요인* 생체인식 기술의 발전

제약사항* 얼굴 인식과 관련된 규제와 프라이버시 문제.

기회*스마트폰과 가전제품의 통합 확대

과제* 보안 취약성 및 리스크 증가

시장 성장 요인

센서 기술의 발전은 시스템 강화의 기반이 되는 요소입니다. 고해상도 카메라와 깊이 센서와 같은 최신 센서를 통해 인식 시스템은 환경 조건에 관계없이 개인의 얼굴에 대한 상세하고 정확한 이미지를 캡처할 수 있습니다. 얼굴 인식 시스템의 신뢰성과 다재다능함으로 인해 다양한 분야에서 신원 확인, 고객 인증, 개인화 서비스, 운영 효율성 향상에 필수적인 도구로 채택되고 있습니다. 따라서 이러한 측면은 시장 수요를 증가시킬 수 있습니다.

얼굴 인식 시스템은 감시 카메라에 찍힌 인물을 자동으로 식별하여 종합적인 감시를 가능하게 합니다. 이 시스템은 얼굴의 특징을 분석하여 알려진 사람이나 관심있는 사람의 데이터베이스와 대조합니다. 출입 통제 시스템과 통합된 얼굴 인식 기술은 물리적 보안 조치를 강화하여 기밀 구역과 중요한 인프라를 잠재적인 위협과 보안 침해로부터 보호합니다. 따라서 이러한 측면은 시장 확대에 도움이 될 것입니다.

시장 성장 억제요인

전 세계 정부와 규제 당국은 프라이버시 침해, 생체 인식 정보의 악용 가능성, 대량 감시와 관련된 위험에 대한 우려에 대응하여 보다 엄격한 정책을 시행하고 있습니다. 이러한 상황은 기술에 대한 신뢰를 떨어뜨리고 영향을 받는 개인의 프라이버시와 보안을 위험에 빠뜨릴 수 있습니다. 따라서 이러한 요인들은 시장 성장을 저해할 수 있습니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요람

제3장 시장 개요

제4장 경쟁 분석 - 세계

제5장 세계 시장 : 조직 규모별

제6장 세계 시장 : 전개 모드별

제7장 세계 시장 : 제공 제품별

제8장 세계 시장 : 기술별

제9장 세계 시장 : 용도별

제10장 세계 시장 : 업계별

제11장 세계 시장 : 지역별

제12장 기업 개요

제13장 얼굴 인식 시장을 위한 성공 필수 조건

LSH
영문 목차

영문목차

The Global Facial Recognition Market size is expected to reach $16.8 billion by 2031, rising at a market growth of 14.5% CAGR during the forecast period.

In 2023, the IT and telecom segment acquired a considerable revenue share in the facial recognition market. The IT and telecom sector has been at the forefront of integrating technology into various applications and solutions. Therefore, the IT and telecom segment generated 14.86% revenue share in 2031. With advancements in artificial intelligence (AI), machine learning, and computer vision, IT and telecom companies have developed sophisticated facial detection systems capable of accurately identifying individuals in real-time across diverse environments. Thus, these factors can pose lucrative growth prospects for the segment.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, in 2023, February, Cognitec Systems GmbH expanded its FaceVACS-Entry technology by adding a verification feature to it. Through this launch, the combined service of photo capture and person verification saves travellers lots of time at the border. Moreover, In 2023, June, Daon, Inc. has expanded its IdentityX and TrustX biometrics platforms. Both are designed to target generative AI-assisted fraud and data crime.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. In March, 2024, Microsoft Corporation expanded its recognition technology by launching a new AI that recognizes faces and groups photos based on relationships, aiming to improve photo management. Through this expansion, Microsoft continues to develop and refine its recognition capabilities, which will also shape the future of digital interaction and privacy. Companies such as NEC Corporation, Thales Group S.A. and Cognitec Systems GmbH are some of the key innovators in Market.

Source: KBV Reseaarch Analysis, Company Publications and Secondary Research

Driving and Restraining Factors

Drivers*Growing advancements in biometric technology

Restraints*Regulatory and privacy concerns associated with facial recognition.

Opportunities*Rising integration in smartphones and consumer electronics

Challenges*Increasing security vulnerabilities and risks

Market Growth Factors

Advancements in sensor technology form a foundational element in enhancing systems. Modern sensors, including high-resolution cameras and depth sensors, enable recognition systems to capture detailed and accurate images of individuals' faces, regardless of environmental conditions. The reliability and versatility of facial detection systems drive their adoption as indispensable tools for identity verification, customer authentication, personalized services, and operational efficiency enhancements across different domains. Thus, these aspects can boost the demand in the market.

Facial detection systems enable comprehensive surveillance by automatically identifying individuals captured by surveillance cameras. These systems analyze facial features and match them against databases of known individuals or persons of interest. Integrated with access control systems, facial recognition technology strengthens physical security measures, safeguarding sensitive areas and critical infrastructure from potential threats or security breaches. Thus, these aspects can assist in the expansion of the market.

Market Restraining Factors

Globally, governments and regulatory agencies are implementing more stringent policies in response to concerns regarding privacy infringement, possible misuse of biometric information, and the dangers linked to mass surveillance. Such occurrences erode trust in the technology and endanger the privacy and security of affected individuals. Thus, these factors can hamper the growth of the market.

By Organization Size Analysis

By organization size, the market is bifurcated into large enterprises and small & medium enterprises. The small and medium enterprises segment procured 25.70% significant revenue share in the market in 2023. The technology has become more affordable and accessible, allowing SMEs to adopt and integrate it into their operations. As the cost of facial detection solutions decreases and the technology becomes more user-friendly, SMEs are more inclined to invest in these solutions to enhance security, streamline processes, and improve customer experiences. Therefore, these factors can fuel the demand in the segment.

By Deployment Mode Analysis

Based on deployment mode, the market is divided into on-premises and cloud. In 2023, the cloud segment witnessed 35.55% substantial revenue share in the market. Cloud-based facial detection systems offer scalability and flexibility, allowing organizations to easily scale up or down their computing resources based on demand. This scalability enables businesses of all sizes to deploy technology without the need for significant upfront investments in infrastructure or hardware. Therefore, these aspects can help in the growth of the segment.

By Offering Analysis

Based on offering, the market is divided into software, hardware, and services. In 2023, the hardware segment witnessed 39.63% substantial revenue share in the market. Organizations are increasingly adopting facial detection technology as a more secure alternative to conventional authentication methods like passwords, PINs, and swipe cards in response to the escalating prevalence of cyber threats, identity theft, and fraud. As per Invest India, the nation was among the three Asian nations most severely affected by cyber threats. In 2021, the region witnessed the following most prevalent types of threats: server access attacks (20 percent), ransomware (11%), and data theft (10 percent). Therefore, these aspects can assist in the expansion of the segment.

By Technology Analysis

Based on technology, the market is segmented into 2D, 3D, and facial analytics. The 2D segment held 39.16% substantial revenue share in the market in 2023. One of the primary drivers behind the rising demand for 2D solutions is their cost-effectiveness and affordability compared to their 3D counterparts. 2D facial detection technology typically requires fewer hardware components and computational resources, making it a more budget-friendly option for organizations with limited IT budgets or smaller-scale deployments.

By Application Analysis

Based on application, the market is divided into access control, attendance tracking & monitoring, security & surveillance, emotion recognition, and others. In 2023, the attendance tracking and monitoring segment witnessed 21.27% substantial revenue share in the market. The technology offers enhanced security features and accuracy in attendance tracking and monitoring applications. Advanced facial detection algorithms can accurately identify and authenticate individuals based on unique facial features, minimizing the risk of identity fraud or buddy punching. Therefore, these aspects can help in the growth of the segment.

By Vertical Analysis

By vertical, the market is segmented into government, media & entertainment, education, healthcare & life sciences, automobile & transportation, manufacturing, retail & e-commerce, IT & telecom, and others. The retail and e-commerce segment procured 20.14% significant revenue share in the market in 2023. The technology enables frictionless payment experiences by allowing customers to complete transactions securely and conveniently without the need for physical cash, cards, or mobile devices. Retailers and e-commerce platforms integrate facial detection -based payment solutions, enabling customers to authorize payments using facial biometrics, thereby streamlining checkout processes, reducing transaction times, and enhancing overall payment security. Therefore, these factors can fuel the demand in the segment.

By Regional Analysis

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured 35.32% the highest revenue share in the market in 2023. Security and safety concerns have been significant drivers of demand for facial detection technology in North America. The region has witnessed increasing security and public safety threats, including terrorism, crime, and cybersecurity breaches, prompting organizations and government agencies to invest in advanced security solutions. Therefore, owing to these factors, there will be increased demand in the segment.

Market Competition and Attributes

The market is highly competitive, characterized by a diverse range of vendors offering innovative solutions across various industries. Key players in the market include technology giants like NEC Corporation, IBM Corporation, and Microsoft Corporation, alongside specialized facial detection providers such as SenseTime, and Idemia. Competition intensifies as companies strive to differentiate themselves by offering advanced features like emotion recognition, real-time analytics, and robust security measures. Additionally, partnerships, acquisitions, and investments in research and development further fuel competition, driving innovation and expanding market reach. As demand for facial detection technology continues to grow across sectors such as security, retail, and healthcare, competition in the market is expected to remain fierce, fostering continuous advancements and improvements in recognition solutions.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Facial Recognition Market Report Segmentation

By Organization Size

By Deployment Mode

By Offering

By Technology

By Application

By Vertical

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Competition Analysis - Global

Chapter 5.Global Facial Recognition Market by Organization Size

Chapter 6.Global Facial Recognition Market by Deployment Mode

Chapter 7.Global Facial Recognition Market by Offering

Chapter 8.Global Facial Recognition Market by Technology

Chapter 9.Global Facial Recognition Market by Application

Chapter 10.Global Facial Recognition Market by Vertical

Chapter 11.Global Facial Recognition Market by Region

Chapter 12.Company Profiles

Chapter 13.Winning imperative of Facial Recognition Market

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