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市场调查报告书
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1881360

全球行为生物辨识市场：依组件、类型、部署方式、应用、组织规模、垂直产业和地区划分 - 市场规模、产业趋势、机会分析和预测（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个工作天内

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简介目录

行为生物辨识市场正处于快速扩张期，预计 2024 年市场规模将达到约 29.8 亿美元。预计该市场将呈指数级增长，到 2033 年将达到约 183.9 亿美元。这一快速成长意味着 2025 年至 2033 年预测期内的复合年增长率 (CAGR) 将达到 22.41%，反映出行为生物辨识技术作为现代网路安全框架关键组成部分的认可度不断提高。

市场成长的关键推动因素之一是对超越密码和 PIN 码等静态身分验证方法的持续性、多层安全解决方案的需求不断增长。面对日益复杂的网路威胁，例如帐户盗用和身分盗窃，传统的安全方法已越来越难以应对。行为生物辨识技术透过持续分析使用者行为模式（例如打字节奏、滑鼠移动和语音特征），提供了一种动态、自适应的安全保障，能够即时验证身分并侦测异常情况。

市场趋势

行为生物辨识市场较为分散，既有成熟的产业领导者，也有规模较小的专业公司。 BioCatch、万事达卡旗下的NuData Security、BehavioSec和TypingDNA等主要参与者凭藉其广泛的全球布局和庞大的客户群，保持着竞争优势，并占了相当大的市场占有率。这些成熟公司利用规模经济、品牌知名度和在安全技术领域的深厚专业知识，为各行业和地区提供全面的行为生物辨识解决方案。

2025年3月，数位银行和3D安全（3DS）交易领域公认的身份验证和诈欺预防领导者Outseer宣布了一项重要的市场发展：在其平台中原生整合行为生物识别技术。这标誌着Outseer在将行为生物辨识技术直接整合到其核心平台方面迈出了重要一步，使其能够在诈欺侦测和预防框架中对使用者互动进行持续的即时分析。

Outseer基于平台的行为生物识别技术增强了公司快速检测和响应可疑活动的能力，减少了误报并最大限度地减少了不必要的干扰，从而改善了整体用户体验。这种即时异常检测能力在数位银行等领域尤其重要，因为这些领域必须在安全性和无缝的客户存取之间取得平衡。

主要成长推动因素

帐户盗用（ATO）攻击的急剧增加是行为生物辨识市场需求的主要推动因素。网路犯罪分子正日益利用复杂的技术绕过密码和静态 PIN 码等传统身分验证方法，并利用漏洞非法存取使用者帐户。这些日益复杂的攻击手段对企业和消费者造成了巨大的经济损失，因此迫切需要采用更先进、更强大的安全解决方案。

新机遇

智慧家庭和连网汽车中物联网 (IoT) 设备的快速普及为行为生物辨识市场创造了巨大的机会。随着这些环境的互联程度不断提高，它们也越来越容易受到安全威胁。传统的安全措施，例如密码和静态身份验证方法，通常不足以保护这些复杂的设备网路。大量的入侵途径和多样化的设备类型使得充分监控和保护每一次互动变得困难。应对这些日益增长的漏洞需要开发和部署更先进的安全解决方案，以应对物联网生态系统带来的独特挑战。

优化障碍

高误拒率对行为生物辨识市场的成长构成重大挑战，尤其是在面向多元文化使用者群体部署时。行为生物辨识系统透过分析使用者独特的行为模式（例如语音、打字节奏和动作）来验证使用者身分。然而，它们可能无法准确解读来自不同文化背景使用者所表现出的各种行为特征。口音、语言细微差别和行为习惯的差异会导致高误拒率，使合法使用者被错误地拒绝存取。这不仅会导致用户感到沮丧和不便，还会损害用户信任和满意度，而信任和满意度对于广泛应用至关重要。

目录

第一章：研究架构

  • 研究目标
  • 产品概述
  • 市场区隔

第二章：研究方法

  • 质性研究
    • 一手和二手资料来源
  • 量化研究
    • 一手和二手资料来源
  • 依地区划分的一手调查受访者组成
  • 研究假设
  • 市场规模估算
  • 资料三角验证

第三章：摘要整理：全球行为生物辨识市场

第四章：全球行为生物辨识市场概述

  • 产业价值链分析
    • 研发与产品开发
    • 实施与整合
    • 最终用户
  • PESTLE分析
  • 波特五力分析
    • 供应商议价能力
    • 买方议价能力
    • 替代品威胁
    • 新进入者威胁
    • 竞争强度
  • 市场动态与趋势
    • 成长因素
    • 阻碍因素
    • 挑战
    • 主要趋势
  • 新冠疫情对市场成长趋势的影响评估
  • 市场成长与展望
    • 市场收入估计与预测（2020-2033）
    • 价格趋势分析
  • 竞争格局概览
    • 市场集中度
    • 公司竞争占有率分析（价值，2024 年）
    • 竞争格局分析与基准分析

第五章 全球行为生物辨识市场分析：依组件划分

  • 主要发现
  • 市场规模及预测，2020-2033 年
    • 软体
    • 服务

第六章 全球行为生物辨识市场分析：依类型划分

  • 主要发现
  • 市场规模及预测，2020-2033 年
    • 语音辨识
    • 击键动态分析
    • 步态分析
    • 签名分析
    • 其他

第七章 全球行为生物辨识市场分析：依部署方式划分

  • 主要见解
  • 市场规模及预测，2020-2033
    • 本地部署
    • 云端部署

第八章 全球行为生物辨识市场分析：依应用划分

  • 主要见解
  • 市场规模及预测，2020-2033
    • 风险与合规管理
    • 身份验证
    • 持续认证
    • 诈欺侦测与预防

第八章 全球行为生物辨识依组织规模划分的市场分析

  • 主要发现
  • 市场规模及预测（2020-2033）
    • 大型企业与公部门
    • 中小企业

第九章：全球行为生物辨识市场依产业划分的分析

  • 主要发现
  • 市场规模及预测（2020-2033）
    • 零售与电子商务
    • 医疗保健
    • 银行、金融和保险 (BFSI)
    • 政府与国防
    • IT 和通信
    • 其他

第十章：全球行为生物辨识市场依地区划分的分析

  • 主要发现洞察
  • 市场规模及预测（2020-2033）
    • 北美
    • 欧洲
    • 亚太地区
    • 中东和非洲
    • 南美

第11章：北美行为生物辨识市场分析

第12章：欧洲行为生物辨识市场分析

第13章：亚太地区行为生物辨识市场分析

第14章：中东与非洲行为生物辨识市场分析

第15章：南美行为生物辨识市场分析

第16章：公司简介

  • 万事达卡公司。
  • 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.
  • 其他主要参与者
简介目录
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