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市場調查報告書
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1851093

語音生物辨識：市場佔有率分析、產業趨勢、統計數據和成長預測（2025-2030 年）

Voice Biometrics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計到 2025 年，語音生物辨識市場規模將達到 26.3 億美元，到 2030 年將達到 57 億美元，年複合成長率為 16.73%。

語音生物辨識市場-IMG1

隨著網路犯罪分子利用人工智慧、社交工程和合成語音等技術來削弱密碼的可靠性，對即時語音認證的需求日益成長。金融機構、通訊業者和政府機構正在積極應對，以即時語音認證取代基於知識的問答。 5G網路覆蓋範圍的擴大、智慧型手機中邊緣人工智慧晶片的普及以及雲端推理成本的下降也推動了語音認證的普及。監管機構將聲紋歸類為敏感個人數據，要求企業將隱私設計實踐與反身分分析結合。隨著平台廠商將生物辨識技術整合到零信任套件中，以及專業公司提供深度造假偵測模組和針對低資源方言最佳化的多語言模型，供應商整合正在發生。

全球語音生物辨識市場趨勢與洞察

行動銀行邁向無密碼認證

銀行和電子錢包供應商正在用語音​​提示取代靜態密碼，以減少登入放棄率並阻止帳戶盜用詐騙。 81%的客服中心負責人已經實施或計劃實施語音認證，其中像愛爾蘭銀行這樣的大型機構已投資3600萬美元，將語音提示嵌入到其互動式語音應答選單中。這種方法非常適合小螢幕環境，因為在小螢幕上打字速度慢且容易出錯，而且通話期間的持續認證可以縮短處理時間並省去一次性驗證碼。

監管機構對強客戶認證施加壓力

諸如PSD2、印度儲備銀行指南以及美國即時支付系統等法規要求金融公司至少使用兩種獨立因素來驗證使用者身分。語音生物辨識技術在不增加客戶額外硬體的情況下，為合規性增添了一層獨特的保障。歐盟人工智慧法將語音檢驗列為高風險類別，要求服務提供者記錄模型管治、偏差測試和事件回應，從而加快了認證平台的採購。

多語言和方言豐富模型中的偏差

學術基準測試顯示，少數族裔（包括少數口音、性別和年齡族群）的詞彙錯誤率更高，引發了關於公平性的爭論。這種差異會削弱信任，阻礙大眾接受新知識，並可能違反《平等指令》。目前，供應商正在擴充其訓練語料庫，定期進行偏見審核，並發布透明的模型卡，以消除監管機構和民間社會觀察家的疑慮。

細分市場分析

到2024年，被動檢驗在語音生物辨識市場的比重將不到20%，但預計其成長速度將超過主動驗證市場，複合年成長率（CAGR）將達到18.8%。被動驗證的優點在於能夠在自然對話過程中驗證來電者身份，無需預先編寫腳本，平均處理時間最多可縮短45秒。科羅拉多一家信用社在用小鍵盤問答取代腳本問答後，節省了大量時間。主動驗證方法仍保持著62%的市場佔有率，因為強制性短語能夠提供強大的審核追蹤，這對於高價值傳輸和政府核准至關重要。混合驗證技術正在興起，只有在風險評分超過可接受的閾值時才會觸發主動驗證機制。

被動式解決方案受益於邊緣設備上即時訊號處理和說話者分割技術的進步。持續的會話內監控也有助於偵測帳戶共用和脅迫行為。同時，主動式引擎透過縮短密碼短語和在支援的行動裝置上實現無提示身份驗證而不斷創新。這兩個細分領域透過幫助企業兼顧安全性和易用性，從而增強了語音生物辨識市場。

以核心語音特徵提取庫和模型管理主機為驅動的軟體，在2024年仍將佔支出的70%。然而，專業服務預計將以18.5%的複合年成長率成長，這反映出對數十種語言的引擎進行微調、連接到傳統IVR平台以及執行深度造假攻擊的紅隊測試的需求。電信業務流程外包商正與專業演算法供應商合作，提供包含託管、調優和持續詐欺監控的承包服務包。

顧問也會指導客戶了解不斷變化的隱私法律，起草資料保護影響評估報告，並設計同意流程。託管服務協議還包括針對資料外洩事件的快速回應團隊和季度偏差報告。隨著此類協議的成熟，與詐欺損失減少掛鉤的基於結果的定價模式將更加普遍，服務收入也將更深入地融入語音生物辨識市場。

語音辨識生物辨識市場按類型（主動生物辨識與被動生物辨識）、部署模式（本地部署與雲端部署）、公司規模（中小企業與大型企業）、最終用戶產業（銀行、金融服務和保險等）、應用（詐騙偵測與預防等）以及地區進行細分。市場預測以美元計價。

區域分析

北美佔據語音生物辨識市場最大佔有率，這主要得益於銀行、信用卡網路和醫療保健機構的早期應用。聯邦法規將聲紋歸類為敏感標識符，促使供應商採用符合 FedRAMP 認證的雲端技術和加密技術以支援政府審核。企業網路安全預算正在推動客服中心的現代化，進一步刺激了市場需求。創業投資也在支持語音安全領域的新創新興企業，從而促進了本地創新。

亞太地區成長最快。印度的統一支付介面和智慧型手機的快速普及為跨語言、包容性的身份驗證創造了沃土。中國正在其超級應用生態系統中推廣說話者驗證，東協通訊業者正在引入語音活體檢測技術來遏制SIM卡交換詐騙。區域資料在地化法律鼓勵合資企業在境內部署相關模式，進而刺激國內能力發展。

歐洲擁有先進的基礎設施和全球最嚴格的隱私保護框架之一。人工智慧法律將說話者識別列為高風險技術，促使企業採購具備可解釋推理和詳細審核日誌的認證套件。愛爾蘭銀行3,400萬歐元（3,600萬美元）的投資計畫等措施表明，在合規性和客戶便利性之間，預算正在不斷投入。

拉丁美洲和非洲的絕對支出水準較低，但成長潛力巨大。巴西和南非的通訊業者正在部署語音互動語音應答（IVR）系統，以減輕客服人員的工作量並驗證預付用戶。獨立基地台的部署改善了4G網路覆蓋，並實現了雲端推理。各地口音的多樣性和語言資源匱乏等挑戰，可以透過遷移學習和區域資料集來解決，從而擴大語音生物辨識市場的覆蓋範圍。

其他福利：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場情勢

  • 市場概覽
  • 市場促進因素
    • 行動銀行邁向無密碼認證
    • 監管機構對加強客戶身分驗證施加壓力（PSD2、RBI、FedNow）
    • 深度造假激增詐騙客服中心升級
    • 金融科技主導新興亞洲支付業務快速成長
    • 企業中零信任架構的採用率不斷提高。
    • 電信業者降低語音互動語音應答（IVR）成本的任務
  • 市場限制
    • 多語言和方言豐富模型中的偏差
    • 資料居住法規限制了雲端採用
    • 遠端識別與驗證（視訊通話）中的聲學波動
    • 智慧家庭中背景音訊的高誤報率
  • 價值/供應鏈分析
  • 監管環境
  • 技術展望
  • 波特五力模型
    • 供應商的議價能力
    • 買方的議價能力
    • 新進入者的威脅
    • 競爭對手之間的競爭
    • 替代品的威脅
  • 投資分析

第5章 市場規模與成長預測

  • 按身份驗證類型
    • 主動生物辨識技術
    • 被動式生物識別
  • 按組件
    • 軟體/SDK
    • 服務（整合、諮詢、管理）
  • 按部署模式
    • 雲
    • 本地部署
  • 按公司規模
    • 小型企業
    • 主要企業
  • 透過通道/網路基地台
    • 互動式語音應答/客服中心
    • 行動應用
    • 網路和自助服務終端
    • 智慧型設備/物聯網
  • 透過使用
    • 詐欺檢測與預防
    • 客戶身份驗證和身份識別
    • 支付和交易安全
    • 勞動力管理/邏輯訪問
  • 按最終用途行業分類
    • 銀行、金融服務和保險
    • 政府和執法部門
    • 電訊和資訊技術
    • 衛生保健
    • 零售、電子商務與消費品
    • 運輸與物流
    • 其他（教育、酒店管理）
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美洲
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 義大利
      • 西班牙
      • 北歐國家
      • 其他歐洲地區
    • 亞太地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • ASEAN-5
      • 澳洲
      • 紐西蘭
      • 亞太其他地區
    • 中東
      • GCC
      • 土耳其
      • 其他中東地區
    • 非洲
      • 南非
      • 奈及利亞
      • 其他非洲地區

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • Nuance Communications Inc.
    • NICE Ltd
    • Verint Systems Inc.
    • Pindrop Security Inc.
    • LexisNexis Risk Solutions Inc.
    • LumenVox LLC
    • Phonexia sro
    • Auraya Inc.
    • Aculab Plc
    • Uniphore Software Systems
    • SESTEK
    • VoicePIN.com Sp. z oo
    • Illuma
    • BioCatch Ltd.
    • Reality Defender
    • Sensory Inc.
    • Neustar Inc.
    • Veridas
    • ID R&D Inc.
    • Synaptics Inc.

第7章 市場機會與未來展望

簡介目錄
Product Code: 66871

The voice biometrics market is valued at USD 2.63 billion in 2025 and is forecast to reach USD 5.70 billion by 2030, advancing at a 16.73% CAGR.

Voice Biometrics - Market - IMG1

Demand is rising because cyber-criminals now weaponize artificial intelligence, social engineering, and synthetic speech, rendering passwords unreliable. Financial institutions, telecom operators, and government agencies respond by replacing knowledge-based questions with real-time voice verification. Wider 5G coverage, edge AI chips in smartphones, and lower cloud inference costs also sustain adoption. Regulatory authorities classify voiceprints as sensitive personal data, so organizations must combine privacy-by-design practices with anti-spoofing analytics. Vendor consolidation is underway as platform players integrate biometrics into zero-trust toolkits, while specialist firms supply deepfake detection modules and multilingual models tuned for low-resource dialects.

Global Voice Biometrics Market Trends and Insights

Transition to password-less authentication in mobile banking

Banks and e-wallet providers substitute static passwords with voiceprints to decrease abandonment during log-in and to stop account-takeover fraud. 81% of contact-center leaders already deploy or plan voice verification, and flagship institutions such as Bank of Ireland invested USD 36 million to embed voice checks into interactive voice response menus. The method suits small screens where typing is slow and error-prone, while continuous authentication during a call trims handle time and removes one-time codes.

Regulatory pressure for strong customer authentication

Rules such as PSD2, the Reserve Bank of India's guidelines, and US instant-payment rails oblige financial firms to prove user identity with at least two independent factors. Voice biometrics adds an inherent layer that satisfies compliance without extra hardware for customers. The EU Artificial Intelligence Act labels voice verification a high-risk category, obliging providers to document model governance, bias testing, and incident response, accelerating procurement of certified platforms.

Bias in multilingual and dialect-rich models

Academic benchmarks show higher word-error rates for under-represented accents, genders, and age groups, triggering fairness debates. Disparities erode trust, slow public roll-outs, and may breach equality directives. Vendors now widen training corpora, run periodic bias audits, and issue transparent model cards to reassure regulators and civil-society observers.

Other drivers and restraints analyzed in the detailed report include:

  1. Deepfake-driven contact-center upgrades
  2. Fintech-led payment growth in emerging Asia
  3. Data-residency rules limiting cloud deployment

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Passive verification analyzed less than 20% of the voice biometrics market in 2024, yet is forecast to grow faster than the headline rate, moving at 18.8% CAGR. Its appeal lies in authenticating callers during natural conversation, eliminating scripted phrases, and shaving up to 45 seconds from average handle-time. The Credit Union of Colorado confirmed time savings after replacing keypad questions. Active methods retain 62% leadership because mandated phrases deliver robust audit trails critical for high-value transfers and government clearances. Hybrid stacks are emerging that trigger active fallback only when risk scores exceed tolerance.

Passive solutions benefit from advances in real-time signal processing and speaker diarization running on edge devices. Continuous monitoring throughout a session also helps detect account sharing and coercion. Meanwhile, active engines innovate with shorter passphrases and promptless verification on supported handsets. The two branches together reinforce the voice biometrics market as enterprises mix assurance and usability.

Software still provided 70% of spending in 2024 thanks to core speech-feature extraction libraries and model-management consoles. Yet professional and managed services are projected to advance 18.5% CAGR, reflecting the need to fine-tune engines for dozens of languages, connect to legacy IVR platforms, and run red-team tests against deepfake attacks. Telecom-business-process outsourcers partner with niche algorithm suppliers to offer turnkey packages that bundle hosting, tuning, and continuous fraud monitoring.

Consultants also steer clients through evolving privacy law, draft data-protection-impact assessments, and design consent flows. Managed-service contracts include rapid-response teams for breach events and quarterly bias reporting. As these engagements mature, outcome-based pricing linked to fraud-loss reduction gains traction, embedding service revenue deeper into the voice biometrics market.

Voice Recognition Biometrics Market It Segmented by Type (Active Biometrics and Passive Biometrics), Deployment Model (On-Premises and Cloud), Enterprise Size (Small and Medium Enterprises and Large Enterprises), End-Use Industry (Banking, Financial Services and Insurance, and More), Application (Fraud Detection and Prevention and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

North America holds the largest portion of the voice biometrics market owing to early adoption by banks, card networks, and healthcare providers. Federal rules classify voiceprints as sensitive identifiers, so vendors deploy FedRAMP-authorized clouds and encryption to satisfy agency audits. Contact-center modernization funded under corporate cyber-resilience budgets further boosts demand. Venture capital also backs speech-security startups, keeping innovation local.

Asia Pacific is the swiftest-growing region. India's unified-payments interface and rapid smartphone uptake create fertile ground for inclusive, language-agnostic authentication. China scales speaker recognition across super-app ecosystems, while ASEAN telcos embed voice liveness to curb SIM-swap fraud. Regional data-localization laws encourage joint ventures that host models inside national borders, stimulating domestic capacity.

Europe combines advanced infrastructure with the world's strictest privacy framework. The Artificial Intelligence Act designates speaker recognition as high-risk, so enterprises procure certified toolkits with explainable inference and detailed audit logs. Investment announcements such as Bank of Ireland's EUR 34 million (USD 36 million) program show that budget still flows where compliance and customer convenience intersect.

Latin America and Africa trail in absolute spend but present sizable upside. Telecom operators in Brazil and South Africa deploy voice-enabled IVR to cut agent workload and verify prepaid subscribers. Independent tower roll-outs have improved 4G coverage, enabling cloud inference. Local accent diversity and low-resource languages are challenges that vendors address through transfer learning and regional datasets, thereby extending reach of the voice biometrics market.

  1. Nuance Communications Inc.
  2. NICE Ltd
  3. Verint Systems Inc.
  4. Pindrop Security Inc.
  5. LexisNexis Risk Solutions Inc.
  6. LumenVox LLC
  7. Phonexia s.r.o.
  8. Auraya Inc.
  9. Aculab Plc
  10. Uniphore Software Systems
  11. SESTEK
  12. VoicePIN.com Sp. z o.o.
  13. Illuma
  14. BioCatch Ltd.
  15. Reality Defender
  16. Sensory Inc.
  17. Neustar Inc.
  18. Veridas
  19. ID R&D Inc.
  20. Synaptics Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Transition to Password-less Authentication in Mobile Banking
    • 4.2.2 Regulatory Pressure for Strong Customer Authentication (PSD2, RBI, FedNow)
    • 4.2.3 Surge in Deep-Fake Fraud Driving Contact-Center Upgrades
    • 4.2.4 Rapid FinTech-Led Payment Growth in Emerging Asia
    • 4.2.5 Growing Adoption of Zero-Trust Architecture in Enterprises
    • 4.2.6 Voice-Enabled IVR Cost-Saving Mandates in Telcos
  • 4.3 Market Restraints
    • 4.3.1 Bias in Multilingual & Dialect-Rich Models
    • 4.3.2 Data-Residency Regulations Limiting Cloud Deployment
    • 4.3.3 Acoustic Variability in Remote ID&V (Video Calls)
    • 4.3.4 High False-Accept Rate from Background Speech in Smart Homes
  • 4.4 Value/Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Intensity of Competitive Rivalry
    • 4.7.5 Threat of Substitutes
  • 4.8 Investment Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Authentication Type
    • 5.1.1 Active Biometrics
    • 5.1.2 Passive Biometrics
  • 5.2 By Component
    • 5.2.1 Software/SDK
    • 5.2.2 Services (Integration, Consulting, Managed)
  • 5.3 By Deployment Model
    • 5.3.1 Cloud
    • 5.3.2 On-premise
  • 5.4 By Enterprise Size
    • 5.4.1 Small and Medium Enterprises
    • 5.4.2 Large Enterprises
  • 5.5 By Channel/Access Point
    • 5.5.1 IVR/Contact Center
    • 5.5.2 Mobile Apps
    • 5.5.3 Web and Kiosk
    • 5.5.4 Smart Devices/IoT
  • 5.6 By Application
    • 5.6.1 Fraud Detection and Prevention
    • 5.6.2 Customer Authentication and IDandV
    • 5.6.3 Payments and Transaction Security
    • 5.6.4 Workforce Management/Logical Access
  • 5.7 By End-use Industry
    • 5.7.1 Banking, Financial Services and Insurance
    • 5.7.2 Government and Law Enforcement
    • 5.7.3 Telecom and IT
    • 5.7.4 Healthcare
    • 5.7.5 Retail, E-commerce and CPG
    • 5.7.6 Transport and Logistics
    • 5.7.7 Others (Education, Hospitality)
  • 5.8 By Geography
    • 5.8.1 North America
      • 5.8.1.1 United States
      • 5.8.1.2 Canada
      • 5.8.1.3 Mexico
    • 5.8.2 South America
      • 5.8.2.1 Brazil
      • 5.8.2.2 Argentina
      • 5.8.2.3 Rest of South America
    • 5.8.3 Europe
      • 5.8.3.1 United Kingdom
      • 5.8.3.2 Germany
      • 5.8.3.3 France
      • 5.8.3.4 Italy
      • 5.8.3.5 Spain
      • 5.8.3.6 Nordics
      • 5.8.3.7 Rest of Europe
    • 5.8.4 APAC
      • 5.8.4.1 China
      • 5.8.4.2 India
      • 5.8.4.3 Japan
      • 5.8.4.4 South Korea
      • 5.8.4.5 ASEAN-5
      • 5.8.4.6 Australia
      • 5.8.4.7 New Zealand
      • 5.8.4.8 Rest of APAC
    • 5.8.5 Middle East
      • 5.8.5.1 GCC
      • 5.8.5.2 Turkey
      • 5.8.5.3 Rest of Middle East
    • 5.8.6 Africa
      • 5.8.6.1 South Africa
      • 5.8.6.2 Nigeria
      • 5.8.6.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)}
    • 6.4.1 Nuance Communications Inc.
    • 6.4.2 NICE Ltd
    • 6.4.3 Verint Systems Inc.
    • 6.4.4 Pindrop Security Inc.
    • 6.4.5 LexisNexis Risk Solutions Inc.
    • 6.4.6 LumenVox LLC
    • 6.4.7 Phonexia s.r.o.
    • 6.4.8 Auraya Inc.
    • 6.4.9 Aculab Plc
    • 6.4.10 Uniphore Software Systems
    • 6.4.11 SESTEK
    • 6.4.12 VoicePIN.com Sp. z o.o.
    • 6.4.13 Illuma
    • 6.4.14 BioCatch Ltd.
    • 6.4.15 Reality Defender
    • 6.4.16 Sensory Inc.
    • 6.4.17 Neustar Inc.
    • 6.4.18 Veridas
    • 6.4.19 ID R&D Inc.
    • 6.4.20 Synaptics Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment