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市场调查报告书
商品编码
1687916

语音生物辨识：市场占有率分析、产业趋势与统计、成长预测（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个工作天内

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简介目录

语音生物辨识市场规模预计在 2025 年为 26.3 亿美元，预计到 2030 年将达到 57 亿美元，预测期内（2025-2030 年）的复合年增长率为 16.75%。

语音生物辨识-市场-IMG1

随着专业诈骗大规模使用被盗资料的现象迅速增长，基于知识的身份验证越来越不足以区分合法用户和诈骗。这就是生物辨识技术越来越受欢迎的原因。语音生物辨识是一种多功能技术，可用于多个领域，包括客服中心身份验证、免持介面、银行帐户保护和行动应用开发。

主要亮点

  • 政府和私人服务越来越多地使用数位平台，金融公司竞相使银行业务变得更简单、更容易访问，这些都推动着对同样强大、安全、故障率极低的身份验证技术的需求。市场已经从传统的密码认证流程转向无密码认证技术。语音辨识由于其能够识别具有不同特征的所有个体的独特能力，已成为最强大的身份验证技术之一。
  • 银行业、汽车业和医疗保健业是重点产业。医疗保健是三者中采用语音辨识最多的领域，采用语音辨识技术协助创建电子健康记录。同时，越来越多的银行正在整合语音认证以增强安全性，尤其是对于透过电话进行的交易。
  • 语音银行正在席捲金融业，金融科技公司竞相提供更先进、更强大、更安全的解决方案。预计未来几年语音银行将朝几个方向发展。据智慧软体工程称，1,800 万美国消费者已经尝试了语音支付，许多银行和金融机构也正在向其客户提供该服务。语音银行的成长预计将推动市场成长。由于行动和网路银行应用程式中语音辨识的广泛应用，预计银行业在预测期内将实现显着增长。
  • 生物辨识语音系统的效率取决于语音辨识和语音辨识的成功，这会影响解决方案的整体表现。研究人员和公司已经采用了许多方法来从讯号中识别语音特征，包括 LPCC、MFCC 和 LPC。生物辨识语音系统之所以受到广泛认可，是因为该解决方案具有高效、准确、辨识速度快、产品功能强大、成本低廉、使用者友善的特性。
  • COVID-19 疫情凸显了语音生物辨识作为非接触式身分验证方法的必要性，对研究市场的需求方动态产生了正面影响。根据 2021 年生物辨识调查，64% 的受访者正在提高支援远端入职和行动应用程式的技术优先级，从而直接产生对语音生物识别技术的需求。

语音生物辨识市场趋势

银行、金融服务和保险成为语音生物辨识应用的关键领域

  • 银行需要掌握最佳的身份验证方法来打击网路诈骗。传统上，银行使用基于知识的身份验证方法，例如 PIN 和动态密码。对非接触式和无缝技术的需求已经渗透到银行安全领域，尤其是考虑到 COVID-19 疫情的影响。银行业务中的语音生物辨识技术是一种很有前景的网路银行解决方案，它超越了需要人员亲自到场的视网膜和指纹扫描器。
  • 此外，随着攻击者/骇客变得越来越老练，潜在目标和入口点的数量不断扩大，金融业的网路攻击正在显着增加。此外，随着新银行和金融科技的普及和增加，用户数量也大幅增加。儘管银行官员多次警告，人们仍然陷入诈骗的陷阱。例如，印度储备银行 (RBI) 报告称，21 财年印度全国发生了约 7,400 起银行诈骗案件。印度储备银行表示，2020 年印度发生了 8,700 起银行诈骗案件，涉案金额高达 1.85 兆印度卢比。此外，根据印度电脑紧急应变小组 (CERT-In) 报告的信息，印度在 2019 年报告了无数起与数位银行相关的网路安全事件，2020 年报告了 2,90,445 起。
  • 此外，根据 VMware 的数据，2020 年上半年针对金融机构的网路攻击与前一年同期比较增了 238%。自疫情开始以来，近 75% 的银行和保险集团的网路犯罪激增。
  • 业务语音生物辨识技术对于扩大便利银行服务和改善客户体验至关重要。例如，银行提供退休金和保险等社会安全产品，这些产品需要提供生活证明才能付款。语音生物辨识技术有助于个人身份验证。生物辨识技术还可以识别人的声音的某些特征，从而使识别更加可靠和防篡改。
  • 语音生物辨识技术也可以帮助加强 KYC 流程。例如，在南亚这样的多语言国家，即使在偏远地区，人们的教育程度也各有不同。语音生物辨识技术可以帮助这些人纳入金融安全网，因为它是独立于语言的解决方案。
  • 此外，生理生物辨识技术需要在客户所在地配备扫描仪，而语音生物辨识技术只需要现有的电话线和行动基础设施。该软体驻留在银行。为了创建身份验证样本，可能会要求使用者说出随机产生的短语。如果不匹配，则拒绝存取。此方法对于试图利用录音的骇客非常有效。

预计北美将占最大份额

  • 随着行动和云端技术的快速普及以及运算能力的空前技术进步，语音辨识技术正被广泛应用于各种各样的应用中。在美国，医疗保健产业有望在语音辨识技术的发展中发挥关键作用，因为该技术可用于记录与健康相关的资料。语音辨识技术有可能取代目前仍在使用的许多传统方法。
  • 根据美国医疗保险和医疗补助服务中心的数据，预计2019年至2028年全国医疗保健支出将以每年平均5.4%的速度成长，2028年将达到6.2兆美元。这也包括在IT和计算服务方面的支出，以更好地储存和保护患者资料。此外，医疗系统正在寻求语音转录来识别诊断过程中发现的可报销情况，同时确保不会错过重要的健康指标。
  • 由于诈骗案件不断增多，该地区盈利的银行业越来越多地采用生物辨识技术。该地区已经实施了大量安全且多样化的安全解决方案。在北美，G+D Mobile Security 与三星 SDS 合作，宣布推出符合 FIDO 标准的 Convegno 行动身分验证。该解决方案利用生物识别，包括指纹、脸部、虹膜和语音识别，提供多因素身份验证安全解决方案。
  • 包括加拿大皇家银行、蒙特利尔银行和罗杰斯通讯在内的几家加拿大机构已开始使用语音生物辨识技术透过电话识别消费者。加拿大道明银行集团表示，客户可以提供声纹登入帐户，并跳过客服中心的安全问题。为此，TD 使用 VoicePrint。 TD VoicePrint 是一种语音辨识系统，客户可以在电话与银行的现场客户服务人员交谈时使用他们的声纹来验证和确认他们的身份。
  • 加拿大越来越多的商店正在转向自助结帐，以便更好地服务顾客。根据达尔豪斯大学的杂货店体验全国调查报告，超过一半的加拿大人（54％）更喜欢自助结帐，66％的人至少有时使用自助结帐。儘管顾客可以根据自己的方便使用自助结帐，但这并不总是高效的。因此，许多加拿大商家正在探索店内语音生物识别解决方案。然而，由于设备和小工具的前期成本高，许多加拿大零售商似乎不愿意升级到最新技术。

语音生物辨识行业概况

语音生物辨识市场竞争依然激烈，已有多家新兴企业进入生物辨识生态系统。最近市场出现了一些併购活动。随着大量资金涌入该领域的新兴企业，我们可以期待未来几年将看到多款新产品的推出。最近的趋势如下：

  • 2021 年 9 月－Skit（前身为 Vernacular.ai）在 B 轮资金筹措中获得 2,300 万美元。此轮融资由 WestBridge Capital主导，其他参与者包括 Exfinity Ventures、Kalaari Capital、Sense AI 领投的 Letsventure企业联合组织，以及 Prophetic Ventures 的 Aaryaman Vir Shah 领投的 Angelist企业联合组织。
  • 2021 年 8 月－Lumen Vox 推出了新一代自动语音辨识(ASR) 引擎。新的自动语音辨识引擎基于人工智慧 (AI) 和深度机器学习 (ML)，在提供最准确的语音客户体验方面胜过竞争对手。
  • 2021 年 7 月-泰雷兹推出了新的语音生物辨识解决方案，它是泰雷兹数位身分服务平台的一部分，用于入职和身分验证。新的解决方案可以轻鬆地与现有的客服中心註册流程整合。
  • 2021 年 6 月-Acurav 宣布其语音生物辨识技术 VoiSentry 可部署到身障者和言语障碍残障人士。 VoiSentry 根据您声音的一般特征而不是特定的字词来计算语音生物识别。这使得用户可以确认他们的 IVR 选择并使用他们的声音来验证身份和验证检查。

其他福利：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 竞争对手之间的竞争
    • 替代品的威胁
  • 技术简介
  • 评估新冠肺炎对市场的影响

第五章 市场动态

  • 市场驱动因素
    • 安全威胁日益复杂
    • 政府大规模部署技术以保障公民安全
  • 市场挑战
    • 关于第三方（云端）资料储存的安全性问题

第六章 市场细分

  • 类型
    • 主动生物识别
    • 被动生物识别
  • 部署模型
    • 本地
    • 云
  • 公司规模
    • 中小型企业
    • 大型企业
  • 按行业
    • 银行、金融服务和保险
    • 零售与电子商务
    • 资讯科技/通讯
    • 政府和国防
    • 其他行业
  • 地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 其他欧洲国家
    • 亚太地区
      • 中国
      • 澳洲
      • 印度
      • 其他亚太地区
    • 拉丁美洲
      • 巴西
      • 墨西哥
      • 其他拉丁美洲国家
    • 中东和非洲

第七章 竞争格局

  • 公司简介
    • Nuance Communications Inc.
    • Verint Systems Inc.
    • Voice Biometrics Group
    • NICE Ltd
    • Auraya Inc.
    • Phonexia SRO
    • BioCatch Ltd
    • Pindrop Security Inc.
    • Aculab Inc.
    • Uniphore Software Systems Pvt. Ltd
    • LexisNexis Risk Solutions Inc.
    • One Vault SA
    • Lumen Vox LLC（Voice Trust GmBH）
    • VoicePIN.com Sp. z oo
    • SESTEK

第八章投资分析

第九章：市场的未来

简介目录
Product Code: 66871

The Voice Biometrics Market size is estimated at USD 2.63 billion in 2025, and is expected to reach USD 5.70 billion by 2030, at a CAGR of 16.75% during the forecast period (2025-2030).

Voice Biometrics - Market - IMG1

The proliferation in the large-scale use of stolen data by professional fraudsters renders knowledge-based authentication increasingly inadequate for distinguishing legitimate users from fraudsters. This has led to the proliferation of biometric technologies. Voice biometrics is a versatile technology that uses several areas, including call center authentication, hands-free interface, bank account protection, and mobile application development.

Key Highlights

  • With the increasing use of digital platforms for government and private services deployment and the race of financial firms to make banking simple and more accessible, there is a growing need for a similar, strong, and secured authentication technology with negligible chances of failure. The market is already transitioning from traditional password authentication processes to password-less authentication techniques. Owing to its unique feature of identifying every individual with different traits, voice recognition is gaining traction as one of the powerful authentication techniques.
  • The banking, automotive, and healthcare sectors are significant. Healthcare was the largest of the three in deploying voice recognition to assist with creating electronic medical records. Meanwhile, a growing number of banks are integrating voice authentication for an extra layer of security, especially for transactions that take place over the phone.
  • Voice banking is conquering the financial industry, and FinTechs are competing to offer more advanced, robust, and secure solutions. The development of voice banking is predicted to move in several directions in the next few years. According to Intelligent Software Engineering, 18 million US consumers have already tried paying by voice, and many banks and financial institutions offer this service to their clients. The growth of voice banking is anticipated to provide growth to the market. The banking sector is expected to register a significant growth rate over the forecast period, owing to the higher adoption of voice recognition in mobile and web banking applications.
  • The proficiency of a biometric voice system is dependent on successful speech identification and voice recognition and affects the solution's overall performance. Researchers and corporations employ many approaches to identify voice features from a signal, including LPCC, MFCC, and LPC. The higher acceptability of the biometric voice system is credited to the solutions' efficiency, accuracy, identification speed, increased product capabilities, low cost, and user-friendly nature.
  • The COVID-19 pandemic has highlighted the need for voice biometrics as a contactless method of authentication and has positively influenced the demand-side dynamics of the studied market. According to the Biometric Survey 2021, 64% of the respondents have increased prioritization for technology that supports remote onboarding and mobile apps, creating a direct demand for voice biometrics.

Voice Biometrics Market Trends

Banking, Financial Services, and Insurance have Emerged as the Leading Fields for Voice Biometric Applications

  • Banks must continuously stay on top of the best-suited methods for authentication to combat online fraud. Traditionally, banks have used knowledge-based authentication methods such as PINs and one-time passwords. The demand for contactless and seamless technologies has permeated even banking security, especially in light of the COVID-19 pandemic's impact. Voice biometrics in banking is a promising online banking solution that goes beyond the retina and fingerprint scanners that require people's physical presence.
  • Further, as attackers/hackers have become more sophisticated and the number of potential targets or entry points has expanded, cyber attacks in the financial industry have increased significantly. The sheer number of users has also drastically increased along with the proliferation and addition of new banking and financial technologies. Despite numerous warnings from bankers, people fall prey to scams. For instance, in fiscal 2021, the Reserve Bank of India (RBI) reported around 7,400 bank fraud cases across India. In 2020, RBI said 8,700 bank fraud cases in India with an INR 1.85 trillion. Further, as per the information reported by Indian Computer Emergency Response Team (CERT-In), an unlimited number of 2,46,514 and 2,90,445 cyber security incidents about digital banking were reported in 2019 and 2020 in India, respectively.
  • Also, according to VMware, the first half of 2020 witnessed a 238% increase in cyberattacks targeting financial institutions compared to the previous year. Nearly 75% of banks and insurance groups have seen a spike in cybercrime since the pandemic's start.
  • Voice biometrics in banking is crucial to extending comfortable banking services and improving customer experience. For instance, banks offer social security products like pensions and insurance requiring proof-of-life authentication when the payments are disbursed. Voice biometrics facilitate the discrete authentication of people. Also, biometric technology can identify several features of human voices to make identification reliable and tamper-proof.
  • Voice biometrics also aid in enhancing the KYC processes. For instance, multilingual countries like South Asia have people of varying education levels across far-flung areas. Voice biometrics can help include such people into a financial security net as the solutions are language-independent.
  • Further, physiological biometrics necessitates scanners at the customer's location, whereas voice biometrics require nothing more than existing phone lines and mobile infrastructure. The software is present on the bank's end. To create a sample to authenticate, the user may be asked to say a randomly generated phrase. If a match is not found, access will be denied. This method is effective against hackers who attempt to use voice recordings.

North America is Expected to Hold the Largest Share

  • Voice recognition technology is used in various applications due to the rapid growth in the acceptance of mobile and cloud technologies and unmatched technological advancements in computing power. The healthcare industry is expected to play a significant role in developing voice recognition technology in the United States, owing to its use in producing health-related data records. Voice recognition technology has the potential to replace some of the more traditional approaches that are still in use.
  • According to the Center for Medicare and Medicaid Services, United States, National health spending is projected to grow at an average annual rate of 5.4% from 2019 to 2028 to reach USD 6.2 trillion by 2028. This also includes the expenditure for IT and computing services for better storage and protection of patient data. Furthermore, health systems are searching for voice-enabled transcriptions to identify reimbursable conditions discovered during the diagnostic while ensuring that crucial health indicators are not missed.
  • The lucrative banking sector in the region has seen a rise in the adoption of biometric technologies as the number of fraud cases has increased. In the area, many secure and diverse security solutions are being introduced. In North America, G+D Mobile Security has introduced its FIDO-compliant Convegno Mobile Authentication in conjunction with Samsung SDS. The solution leverages biometrics such as fingerprint, face, iris, and voice credentials to provide security solutions with multi-factor authentication.
  • Several Canadian organizations, including Royal Bank of Canada, Bank of Montreal, and Rogers Communications, have begun using speech biometrics to identify consumers over the phone. According to the TD Bank Group of Canada, customers can sign into their accounts or skip call center security questions by providing a voiceprint. For this, TD uses VoicePrint. TD VoicePrint is a voice recognition system that allows customers to use their voiceprint to verify their identity and identify themselves when speaking with one of the bank's Live Customer Service employees over the phone.
  • More stores in Canada are moving to self-checkout lanes to serve customers better. More than half of Canadians (54%) favor self-checkout lanes, and 66% use them at least some of the time, according to Dalhousie University's Grocery Experience National Survey Report. Customers can use self-checkout lines at their own leisure, but they are not necessarily as efficient. As a result, many Canadian merchants are looking for voice biometrics solutions in their stores. However, due to the initial high cost of equipment and gadgets, many retailers in Canada will be unwilling to upgrade to the latest technologies.

Voice Biometrics Industry Overview

The voice biometrics market remains highly competitive, with several emerging players getting into the biometric ecosystem. The market has witnessed a few mergers and acquisitions in the recent past. With the inflow of massive amounts of funds into the startups operating in this space, the launch of several new products is expected in the years ahead. Some of the recent developments are as follows:-

  • September 2021 - Skit, formerly known as Vernacular.ai, secured USD 23 million as part of its Series B funding, led by WestBridge Capital with participation from Exfinity Ventures and Kalaari Capital, Letsventure syndicate led by Sense AI, and Angelist syndicate led by Aaryaman Vir Shah from Prophetic Ventures.
  • August 2021 - Lumen Vox launched the next-generation automatic speech recognition (ASR) engine with transcription. The new automatic speech recognition engine, built on artificial intelligence (AI) and deep machine learning (ML), outpaces its competition in delivering the most accurate speech-enabled customer experiences.
  • July 2021 - Thales announced a new voice biometric solution, part of Thales' Digital Identity Service Platform for onboarding and authentication. The new solution integrates effortlessly with existing call center enrolment processes.
  • June 2021 - Aculab announced that its voice biometrics technology, VoiSentry, can be deployed to those with physical and speech impairments. VoiSentry calculates voice biometrics based on general characteristics of the sound of the voice rather than specific words. Hence, it enables the user to positively affirm IVR choices and complete identification and verification checks using their voice.

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 INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Intensity of Competitive Rivalry
    • 4.2.5 Threat of Substitute Products
  • 4.3 Technology Snapshot
  • 4.4 An Assessment of the Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increased Sophistication of Security Threat
    • 5.1.2 Large-scale Adoption of Technology by Governments to Secure Citizens
  • 5.2 Market Challenges
    • 5.2.1 Security Concerns Pertaining to Third-party (Cloud) Data Storage

6 MARKET SEGMENTATION

  • 6.1 Type
    • 6.1.1 Active Biometrics
    • 6.1.2 Passive Biometrics
  • 6.2 Deployment Model
    • 6.2.1 On-premises
    • 6.2.2 Cloud
  • 6.3 Enterprise Size
    • 6.3.1 Small and Medium Enterprises
    • 6.3.2 Large Enterprises
  • 6.4 Vertical
    • 6.4.1 Banking, Financial Services, and Insurance
    • 6.4.2 Retail and E-commerce
    • 6.4.3 Telecommunications and IT
    • 6.4.4 Government and Defense
    • 6.4.5 Other Industry Verticals
  • 6.5 Geography
    • 6.5.1 North America
      • 6.5.1.1 United States
      • 6.5.1.2 Canada
    • 6.5.2 Europe
      • 6.5.2.1 United Kingdom
      • 6.5.2.2 Germany
      • 6.5.2.3 France
      • 6.5.2.4 Rest of Europe
    • 6.5.3 Asia-Pacific
      • 6.5.3.1 China
      • 6.5.3.2 Australia
      • 6.5.3.3 India
      • 6.5.3.4 Rest of Asia-Pacific
    • 6.5.4 Latin America
      • 6.5.4.1 Brazil
      • 6.5.4.2 Mexico
      • 6.5.4.3 Rest of Latin America
    • 6.5.5 Middle-East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Nuance Communications Inc.
    • 7.1.2 Verint Systems Inc.
    • 7.1.3 Voice Biometrics Group
    • 7.1.4 NICE Ltd
    • 7.1.5 Auraya Inc.
    • 7.1.6 Phonexia SRO
    • 7.1.7 BioCatch Ltd
    • 7.1.8 Pindrop Security Inc.
    • 7.1.9 Aculab Inc.
    • 7.1.10 Uniphore Software Systems Pvt. Ltd
    • 7.1.11 LexisNexis Risk Solutions Inc.
    • 7.1.12 One Vault SA
    • 7.1.13 Lumen Vox LLC (Voice Trust GmBH)
    • 7.1.14 VoicePIN.com Sp. z o.o.
    • 7.1.15 SESTEK

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET