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全球行為生物辨識市場：依組件、類型、部署方式、應用、組織規模、垂直產業和地區劃分 - 市場規模、產業趨勢、機會分析和預測（2025-2033 年）

Global Behavioral Biometrics Market: By Component, Type, Deployment, Application, Organization Size, Industry, Region - Market Size, Industry Dynamics, Opportunity Analysis and Forecast for 2025-2033
出版日期: | 出版商: Astute Analytica | 英文 241 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

行為生物辨識市場正處於快速擴張期，預計 2024 年市場規模將達到約 29.8 億美元。預計該市場將呈指數級增長，到 2033 年將達到約 183.9 億美元。這一快速成長意味著 2025 年至 2033 年預測期內的複合年增長率 (CAGR) 將達到 22.41%，反映出行為生物辨識技術作為現代網路安全框架關鍵組成部分的認可度不斷提高。

市場成長的關鍵推動因素之一是對超越密碼和 PIN 碼等靜態身分驗證方法的持續性、多層安全解決方案的需求不斷增長。面對日益複雜的網路威脅，例如帳戶盜用和身分盜竊，傳統的安全方法已越來越難以應對。行為生物辨識技術透過持續分析使用者行為模式（例如打字節奏、滑鼠移動和語音特徵），提供了一種動態、自適應的安全保障，能夠即時驗證身分並偵測異常情況。

市場趨勢

行為生物辨識市場較為分散，既有成熟的產業領導者，也有規模較小的專業公司。 BioCatch、萬事達卡旗下的NuData Security、BehavioSec和TypingDNA等主要參與者憑藉其廣泛的全球佈局和龐大的客戶群，保持著競爭優勢，並佔了相當大的市場佔有率。這些成熟公司利用規模經濟、品牌知名度和在安全技術領域的深厚專業知識，為各行業和地區提供全面的行為生物辨識解決方案。

2025年3月，數位銀行和3D安全（3DS）交易領域公認的身份驗證和詐欺預防領導者Outseer宣布了一項重要的市場發展：在其平台中原生整合行為生物識別技術。這標誌著Outseer在將行為生物辨識技術直接整合到其核心平台方面邁出了重要一步，使其能夠在詐欺偵測和預防框架中對使用者互動進行持續的即時分析。

Outseer基於平台的行為生物識別技術增強了公司快速檢測和響應可疑活動的能力，減少了誤報並最大限度地減少了不必要的干擾，從而改善了整體用戶體驗。這種即時異常檢測能力在數位銀行等領域尤其重要，因為這些領域必須在安全性和無縫的客戶存取之間取得平衡。

主要成長推動因素

帳戶盜用（ATO）攻擊的急劇增加是行為生物辨識市場需求的主要推動因素。網路犯罪分子正日益利用複雜的技術繞過密碼和靜態 PIN 碼等傳統身分驗證方法，並利用漏洞非法存取使用者帳戶。這些日益複雜的攻擊手段對企業和消費者造成了巨大的經濟損失，因此迫切需要採用更先進、更強大的安全解決方案。

新機遇

智慧家庭和連網汽車中物聯網 (IoT) 設備的快速普及為行為生物辨識市場創造了巨大的機會。隨著這些環境的互聯程度不斷提高，它們也越來越容易受到安全威脅。傳統的安全措施，例如密碼和靜態身份驗證方法，通常不足以保護這些複雜的設備網路。大量的入侵途徑和多樣化的設備類型使得充分監控和保護每一次互動變得困難。應對這些日益增長的漏洞需要開發和部署更先進的安全解決方案，以應對物聯網生態系統帶來的獨特挑戰。

優化障礙

高誤拒率對行為生物辨識市場的成長構成重大挑戰，尤其是在面向多元文化使用者群體部署時。行為生物辨識系統透過分析使用者獨特的行為模式（例如語音、打字節奏和動作）來驗證使用者身分。然而，它們可能無法準確解讀來自不同文化背景使用者所表現出的各種行為特徵。口音、語言細微差別和行為習慣的差異會導致高誤拒率，使合法使用者被錯誤地拒絕存取。這不僅會導致用戶感到沮喪和不便，還會損害用戶信任和滿意度，而信任和滿意度對於廣泛應用至關重要。

目錄

第一章：研究架構

  • 研究目標
  • 產品概述
  • 市場區隔

第二章：研究方法

  • 質性研究
    • 一手和二手資料來源
  • 量化研究
    • 一手和二手資料來源
  • 依地區劃分的一手調查受訪者組成
  • 研究假設
  • 市場規模估算
  • 資料三角驗證

第三章：摘要整理：全球行為生物辨識市場

第四章：全球行為生物辨識市場概述

  • 產業價值鏈分析
    • 研發與產品開發
    • 實施與整合
    • 最終用戶
  • PESTLE分析
  • 波特五力分析
    • 供應商議價能力
    • 買方議價能力
    • 替代品威脅
    • 新進入者威脅
    • 競爭強度
  • 市場動態與趨勢
    • 成長因素
    • 阻礙因素
    • 挑戰
    • 主要趨勢
  • 新冠疫情對市場成長趨勢的影響評估
  • 市場成長與展望
    • 市場收入估計與預測（2020-2033）
    • 價格趨勢分析
  • 競爭格局概覽
    • 市場集中度
    • 公司競爭佔有率分析（價值，2024 年）
    • 競爭格局分析與基準分析

第五章 全球行為生物辨識市場分析：依組件劃分

  • 主要發現
  • 市場規模及預測，2020-2033 年
    • 軟體
    • 服務

第六章 全球行為生物辨識市場分析：依類型劃分

  • 主要發現
  • 市場規模及預測，2020-2033 年
    • 語音辨識
    • 擊鍵動態分析
    • 步態分析
    • 簽名分析
    • 其他

第七章 全球行為生物辨識市場分析：依部署方式劃分

  • 主要見解
  • 市場規模及預測，2020-2033
    • 本地部署
    • 雲端部署

第八章 全球行為生物辨識市場分析：依應用劃分

  • 主要見解
  • 市場規模及預測，2020-2033
    • 風險與合規管理
    • 身份驗證
    • 持續認證
    • 詐欺偵測與預防

第八章 全球行為生物辨識依組織規模劃分的市場分析

  • 主要發現
  • 市場規模及預測（2020-2033）
    • 大型企業與公部門
    • 中小企業

第九章：全球行為生物辨識市場依產業劃分的分析

  • 主要發現
  • 市場規模及預測（2020-2033）
    • 零售與電子商務
    • 醫療保健
    • 銀行、金融和保險 (BFSI)
    • 政府與國防
    • IT 和通信
    • 其他

第十章：全球行為生物辨識市場依地區劃分的分析

  • 主要發現洞察
  • 市場規模及預測（2020-2033）
    • 北美
    • 歐洲
    • 亞太地區
    • 中東和非洲
    • 南美

第11章：北美行為生物辨識市場分析

第12章：歐洲行為生物辨識市場分析

第13章：亞太地區行為生物辨識市場分析

第14章：中東與非洲行為生物辨識市場分析

第15章：南美行為生物辨識市場分析

第16章：公司簡介

  • 萬事達卡公司。
  • BioCatch Ltd.
  • Ping Identity
  • Prove Identity Inc.
  • Fair Isaac Corporation
  • Threat Mark
  • Plurilock Security Solutions Inc.
  • Secure Auth Corporation
  • Zighra
  • IBM Corporation
  • NEC Corporation
  • Microsoft Corp.
  • 其他主要參與者
簡介目錄
Product Code: AA0224789

The behavioral biometrics market is on the cusp of remarkable expansion, with its value estimated at approximately US$ 2.98 billion in 2024. This market is projected to experience exponential growth, reaching a valuation of around US$ 18.39 billion by 2033. This anticipated surge corresponds to a robust compound annual growth rate (CAGR) of 22.41% over the forecast period from 2025 to 2033, reflecting the increasing recognition of behavioral biometrics as a vital component of modern cybersecurity frameworks.

One of the primary drivers of market growth is the escalating demand for continuous, multi-layered security solutions that go beyond static authentication methods such as passwords and PINs. Traditional security approaches have proven increasingly inadequate in the face of sophisticated cyber threats, including account takeover attacks and identity fraud. Behavioral biometrics offers a dynamic and adaptive form of security that continuously analyzes user behavior patterns-such as typing rhythms, mouse movements, and voice characteristics-to authenticate identity and detect anomalies in real time.

Noteworthy Market Developments

The behavioral biometrics market is moderately fragmented, featuring a mix of well-established industry leaders and smaller, specialized firms. Prominent players such as BioCatch, Mastercard's NuData Security, BehavioSec, and TypingDNA dominate significant portions of the market, leveraging their extensive global footprints and broad customer bases to maintain competitive advantages. These established companies offer comprehensive behavioral biometrics solutions that cater to diverse industries and geographical regions, benefiting from their scale, brand recognition, and deep expertise in security technologies.

A notable development in the market occurred in March 2025 when Outseer, a recognized leader in authentication and fraud prevention specifically for digital banking and 3-D Secure (3DS) transactions, announced the launch of its platform-native Behavioral Biometrics capability. This advancement marks a significant step forward in integrating behavioral biometrics directly into Outseer's core platform, enabling continuous, real-time analysis of user interactions as part of its fraud detection and prevention framework.

The introduction of platformized Behavioral Biometrics by Outseer enhances the ability to detect and respond to suspicious activities swiftly, reducing false positives and improving the overall user experience by minimizing unnecessary interruptions. This real-time anomaly detection capability is especially critical in sectors like digital banking, where security must be balanced with seamless customer access.

Core Growth Drivers

The dramatic escalation of account takeover (ATO) attacks has become a critical driver of demand in the behavioral biometrics market. Cybercriminals are increasingly adept at circumventing traditional, legacy authentication methods such as passwords and static PINs, exploiting their vulnerabilities to gain unauthorized access to user accounts. This growing sophistication in attack techniques has resulted in staggering financial losses for businesses and consumers alike, prompting a heightened urgency to adopt more advanced and resilient security solutions.

Emerging Opportunity Trends

The rapid proliferation of Internet of Things (IoT) devices in smart homes and connected cars is creating a significant opportunity for the behavioral biometrics market. As these environments become more interconnected, they also become increasingly vulnerable to security threats. Traditional security measures, such as passwords and static authentication methods, often fall short in protecting these complex networks of devices. The sheer number of entry points and the diversity of device types make it difficult to monitor and secure every interaction adequately. This growing vulnerability necessitates the development and deployment of more advanced security solutions specifically tailored to the unique challenges posed by IoT ecosystems.

Barriers to Optimization

High false rejection rates present a significant challenge to the growth of the behavioral biometrics market, particularly when deployed across multi-cultural user bases. Behavioral biometric systems rely on analyzing unique patterns in user behavior, such as voice, typing rhythm, or movement, to authenticate identity. However, these systems can sometimes struggle to accurately interpret the diverse range of behavioral traits exhibited by users from different cultural backgrounds. Variations in speech accents, language nuances, and behavioral habits may lead to higher instances of false rejections, where legitimate users are incorrectly denied access. This not only causes frustration and inconvenience but also undermines user trust and satisfaction, which are critical for widespread adoption.

Detailed Market Segmentation

By Type, the voice recognition segment holds a leading position in the global behavioral biometrics market, a status earned through its widespread adoption and critical importance within contemporary security frameworks. As organizations across industries strive to enhance their security measures, voice recognition technology has emerged as a preferred solution due to its ability to provide accurate, non-intrusive, and user-friendly authentication. With over 50 million consumers worldwide already enrolled in voice biometric systems, the technology's reach is both extensive and growing.

By Application, Identity-proofing stands out as the leading application in the global behavioral biometrics market, commanding a substantial revenue share of 33.17%. This dominant position is well warranted given the enormous scale and increasing complexity of digital identity verification requirements worldwide. As the digital economy expands, organizations across industries are compelled to implement more secure and reliable methods for verifying user identities to prevent unauthorized access and fraud.

By Industry, the Banking, Financial Services, and Insurance (BFSI) industry has established itself as the clear early leader in the behavioral biometrics market, generating over 27.82% of the global revenue share. This dominance is closely tied to the sector's critical need for robust security measures, driven by the inherently high-risk environment in which it operates. Financial institutions face constant threats from increasingly sophisticated cybercriminals seeking to exploit vulnerabilities for financial gain, making the adoption of advanced security technologies not just a preference but a necessity.

By Deployment, On-premise deployments have historically held a dominant position in the behavioral biometrics market, accounting for more than 63.44% of the total revenue. This strong preference for on-premise solutions is primarily driven by the superior levels of security, control, and data sovereignty they offer. By hosting biometric data and processing operations within their own infrastructure, organizations can ensure that sensitive information remains under their direct supervision, minimizing exposure to external threats or unauthorized access.

Segment Breakdown

By Component

  • Software
  • Services

By Type

  • Voice Recognition
  • Keystroke Dynamics
  • Gait Analysis
  • Signature Analysis
  • Others

By Deployment

  • On Premise
  • Cloud
  • By Application
  • Risk & Compliance Management
  • Identity Proofing
  • Continuous Authentication
  • Fraud Detection & Prevention

By Organization Size

  • Large Enterprises
  • SMEs

By Industry

  • Retail & E-commerce
  • Healthcare
  • BFSI
  • Government & Defense
  • IT & Telecom
  • Others

By Region

  • North America
  • The U.S.
  • Canada
  • Mexico
  • Europe
  • Western Europe
  • The UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Western Europe
  • Eastern Europe
  • Poland
  • Russia
  • Rest of Eastern Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia & New Zealand
  • South Korea
  • ASEAN
  • Rest of Asia Pacific
  • Middle East & Africa (MEA)
  • Saudi Arabia
  • South Africa
  • UAE
  • Rest of MEA
  • South America
  • Argentina
  • Brazil
  • Rest of South America

Geography Breakdown

  • North America holds a commanding position in the behavioral biometrics market, capturing over 37.50% of the global share. This dominance is largely fueled by the region's urgent need to combat a relentless and costly surge in digital crime. The escalating frequency and sophistication of cyberattacks have resulted in significant financial losses, creating a strong impetus for businesses and organizations to adopt advanced security measures such as behavioral biometrics.
  • The magnitude of the problem in North America, particularly in the United States, is staggering. According to data from the FBI's Internet Crime Complaint Center (IC3), total reported losses due to cybercrime reached an unprecedented USD 16.6 billion in 2024. This figure reflects not only the financial toll but also the growing scale and complexity of cyber threats faced by individuals, businesses, and government entities.

Leading Market Participants

  • Mastercard Incorporated.
  • BioCatch Ltd.
  • Ping Identity
  • Prove Identity Inc.
  • Fair Issac Corporation
  • ThreatMark
  • Plurilock Security Solutions Inc.
  • SecureAuth Corporation
  • Zighra
  • IBM Corporation
  • NEC Corporation
  • Microsoft Corp.
  • Other Prominent Players

Table of Content

Chapter 1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

Chapter 2. Research Methodology

  • 2.1. Qualitative Research
    • 2.1.1. Primary & Secondary Sources
  • 2.2. Quantitative Research
    • 2.2.1. Primary & Secondary Sources
  • 2.3. Breakdown of Primary Research Respondents, By Region
  • 2.4. Assumption for the Study
  • 2.5. Market Size Estimation
  • 2.6. Data Triangulation

Chapter 3. Executive Summary: Global Behavioral Biometrics Market

Chapter 4. Global Behavioral Biometrics Market Overview

  • 4.1. Industry Value Chain Analysis
    • 4.1.1. Research & Product Development
    • 4.1.2. Implementation and Integration
    • 4.1.3. End User
  • 4.2. PESTLE Analysis
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of Substitutes
    • 4.3.4. Threat of New Entrants
    • 4.3.5. Degree of Competition
  • 4.4. Market Dynamics and Trends
    • 4.4.1. Growth Drivers
    • 4.4.2. Restraints
    • 4.4.3. Challenges
    • 4.4.4. Key Trends
  • 4.5. Covid-19 Impact Assessment on Market Growth Trend
  • 4.6. Market Growth and Outlook
    • 4.6.1. Market Revenue Estimates and Forecast (US$ Bn), 2020-2033
    • 4.6.2. Price Trend Analysis
  • 4.7. Competition Dashboard
    • 4.7.1. Market Concentration Rate
    • 4.7.2. Company Market Share Analysis (Value %), 2024
    • 4.7.3. Competitor Mapping & Benchmarking

Chapter 5. Global Behavioral Biometrics Market Analysis, By Component

  • 5.1. Key Insights
  • 5.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 5.2.1. Software
    • 5.2.2. Services

Chapter 6. Global Behavioral Biometrics Market Analysis, By Type

  • 6.1. Key Insights
  • 6.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 6.2.1. Voice Recognition
    • 6.2.2. Keystroke Dynamics
    • 6.2.3. Gait Analysis
    • 6.2.4. Signature Analysis
    • 6.2.5. Others

Chapter 7. Global Behavioral Biometrics Market Analysis, By Deployment

  • 7.1. Key Insights
  • 7.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 7.2.1. On Premise
    • 7.2.2. Cloud

Chapter 8. Global Behavioral Biometrics Market Analysis, By Deployment

  • 8.1. Key Insights
  • 8.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 8.2.1. Risk & Compliance Management
    • 8.2.2. Identity Proofing
    • 8.2.3. Continuous Authentication
    • 8.2.4. Fraud Detection & Prevention

Chapter 8. Global Behavioral Biometrics Market Analysis, By Organisation Size

  • 8.1. Key Insights
  • 8.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 8.2.1. Large/Public Enterprises
    • 8.2.2. SMEs

Chapter 9. Global Behavioral Biometrics Market Analysis, By Industry

  • 9.1. Key Insights
  • 9.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 9.2.1. Retail & E-commerce
    • 9.2.2. Healthcare
    • 9.2.3. BFSI
    • 9.2.4. Government & Defense
    • 9.2.5. IT & Telecom
    • 9.2.6. Others

Chapter 10. Global Behavioral Biometrics Market Analysis, By Region

  • 10.1. Key Insights
  • 10.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 10.2.1. North America
      • 10.2.1.1. The U.S.
      • 10.2.1.2. Canada
      • 10.2.1.3. Mexico
    • 10.2.2. Europe
      • 10.2.2.1. The UK
      • 10.2.2.2. Germany
      • 10.2.2.3. France
      • 10.2.2.4. Italy
      • 10.2.2.5. Spain
      • 10.2.2.6. Netherland
      • 10.2.2.7. Rest of Europe
    • 10.2.3. Asia Pacific
      • 10.2.3.1. China
      • 10.2.3.2. India
      • 10.2.3.3. Japan
      • 10.2.3.4. Australia
      • 10.2.3.5. South Korea
      • 10.2.3.6. Rest of Asia Pacific
    • 10.2.4. Middle East & Africa
      • 10.2.4.1. UAE
      • 10.2.4.2. Israel
      • 10.2.4.3. South Africa
      • 10.2.4.4. Rest of MEA
    • 10.2.5. South America
      • 10.2.5.1. Argentina
      • 10.2.5.2. Brazil
      • 10.2.5.3. Rest of South America

Chapter 11. North America Behavioral Biometrics Market Analysis

  • 11.1. Key Insights
  • 11.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 11.2.1. By Component
    • 11.2.2. By Type
    • 11.2.3. By Deployment
    • 11.2.4. By Application
    • 11.2.5. By Organisation Size
    • 11.2.6. By Industry
    • 11.2.7. By Country

Chapter 12. Europe Behavioral Biometrics Market Analysis

  • 12.1. Key Insights
  • 12.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 12.2.1. By Component
    • 12.2.2. By Type
    • 12.2.3. By Deployment
    • 12.2.4. By Application
    • 12.2.5. By Organisation Size
    • 12.2.6. By Industry
    • 12.2.7. By Country

Chapter 13. Asia Pacific Behavioral Biometrics Market Analysis

  • 13.1. Key Insights
  • 13.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 13.2.1. By Component
    • 13.2.2. By Type
    • 13.2.3. By Deployment
    • 13.2.4. By Application
    • 13.2.5. By Organisation Size
    • 13.2.6. By Industry
    • 13.2.7. By Country

Chapter 14. Middle East and Africa Behavioral Biometrics Market Analysis

  • 14.1. Key Insights
  • 14.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 14.2.1. By Component
    • 14.2.2. By Type
    • 14.2.3. By Deployment
    • 14.2.4. By Application
    • 14.2.5. By Organisation Size
    • 14.2.6. By Industry
    • 14.2.7. By Country

Chapter 15. South America Behavioral Biometrics Market Analysis

  • 15.1. Key Insights
  • 15.2. Market Size and Forecast, 2020-2033 (US$ Bn)
    • 15.2.1. By Component
    • 15.2.2. By Type
    • 15.2.3. By Deployment
    • 15.2.4. By Application
    • 15.2.5. By Organisation Size
    • 15.2.6. By Industry
    • 15.2.7. By Country

Chapter 16. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

  • 16.1. Mastercard Incorporated.
  • 16.2. BioCatch Ltd.
  • 16.3. Ping Identity
  • 16.4. Prove Identity Inc.
  • 16.5. Fair Issac Corporation
  • 16.6. ThreatMark
  • 16.7. Plurilock Security Solutions Inc.
  • 16.8. SecureAuth Corporation
  • 16.9. Zighra
  • 16.10. IBM Corporation
  • 16.11. NEC Corporation
  • 16.12. Microsoft Corp.
  • 16.13. Other Prominent Players