[시장보고서]세계의 음성 인식 및 화자 인식 시장(-2030년) : 기술(화자 식별, 화자 인증, 자동 음성), 용도(음성 검색, 음성 명령, 실시간 문자 일으켜, 음성 생체인식, 고객 서비스), 모드별

세계의 음성 인식 및 화자 인식 시장(-2030년) : 기술(화자 식별, 화자 인증, 자동 음성), 용도(음성 검색, 음성 명령, 실시간 문자 일으켜, 음성 생체인식, 고객 서비스), 모드별

Speech and Voice Recognition Market by Technology (Speaker Identification, Speaker Verification, Automatic Speech), Application (Voice Search, Voice Command, Real Time Transcription, Voice Biometrics, Customer Service), Mode - Global Forecast to 2030

상품코드 : 1804844 해당 상품은 즉시 배송 가능합니다

리서치사 : MarketsandMarkets

발행일 : 2025년 08월

페이지 정보 : 영문 268 Pages

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한글목차

샘플 요청 목록에 추가

세계의 음성 인식 및 화자 인식 시장 규모는 2025년 96억 6,000만 달러에서 예측 기간중 19.1%의 연평균 복합 성장률(CAGR)로 성장을 지속하여, 2030년에는 231억 1,000만 달러로 성장할 것으로 예측됩니다.

이 시장은 스마트 가전에서의 음성 기술 보급 확대로 인해 크게 성장하고 있습니다. 스마트 TV, 냉장고, 세탁기, 온도조절기, 조명 시스템 등의 기기에 음성 제어 기능이 내장된 경우가 늘고 있으며, 사용자는 간단한 음성 명령으로 핸즈프리 조작을 할 수 있습니다. 이러한 통합을 통해 편의성, 접근성, 사용자 경험을 향상시키고, 가정은 더욱 직관적이고 연결된 환경으로 진화하고 있습니다.

조사 범위
조사 대상 연도	2021-2030년
기준 연도	2024년
예측 기간	2025-2030년
단위	금액(달러)
부문	기술, 전개 모드, 용도, 산업, 지역
대상 지역	북미, 유럽, 아시아태평양, 기타 지역

소비자들은 음성 인식 가전제품이 제공하는 효율성과 개인화 기능에 매력을 느끼고 있습니다. 또한, 에너지 절약 및 자동화 홈 시스템에 대한 수요 증가로 도입이 가속화되고 있으며, AI와 IoT의 발전은 이 분야의 혁신을 계속 촉진하고 있습니다.

Speech and Voice Recognition Market-IMG1

"용도별로는 음성 검색 부문이 2024년 시장을 독점할 것"

음성 검색 부문은 스마트폰, 스마트 스피커, 웹 용도에서 광범위하게 사용되면서 2024년 시장을 지배할 것으로 보입니다. 소비자들은 특히 웹 검색, 내비게이션, 지역 업체 검색 등의 작업에서 속도, 편의성, 핸즈프리 기능 등을 이유로 음성 검색을 선호하고 있습니다. 구글, 애플, 아마존, 마이크로소프트 등 주요 기술 기업들은 구글 어시스턴트, 시리, 알렉사, 코타나 등 가상 비서를 통해 음성 검색을 자사 생태계에 깊숙이 통합하고 활용도를 높이고 있습니다.

또한, 자연어 처리와 AI의 발전으로 음성 검색 결과의 정확도와 관련성이 크게 향상되어 사용자의 이용을 촉진하고 있습니다. 전자상거래, 미디어 이용, 일상 업무에서 음성의 활용이 증가함에 따라 음성 검색은 특히 젊은 층과 다국어 사용자들 사이에서 주요한 인터페이스가 되었습니다. 사용자들이 보다 대화적이고 효율적인 기술과의 상호작용을 원하고 있는 가운데, 음성 검색은 소비자와 기업 모두에서 시장을 선도하고 있습니다.

세계의 음성 인식 및 화자 인식 시장을 조사했으며, 시장 개요, 시장 성장에 영향을 미치는 각종 영향요인 분석, 기술 및 특허 동향, 법 및 규제 환경, 사례 분석, 시장 규모 추이 및 예측, 각종 부문별/지역별/주요 국가별 상세 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 정리하여 전해드립니다.

시장 역학
- 성장 촉진요인
- 성장 억제요인
- 기회
- 과제
밸류체인 분석
생태계 분석
가격 분석
고객 사업에 영향을 미치는 동향/혼란
사례 연구 분석
Porter의 Five Forces 분석
주요 이해관계자와 구입 기준
기술 분석
특허 분석
무역 분석
관세 및 규제 상황
2025-2026년 주요 컨퍼런스 및 이벤트
음성 인식 시장 AI의 영향
2025년 미국 관세가 음성 인식 시장에 미치는 영향

제6장 음성 인식 및 화자 인식 유형

AI 기반
비AI 기반

제7장 음성 인식 및 화자 인식 시장 : 기술별

화자 인식
- 화자 식별
- 화자 인증
자동 음성 인식

제8장 음성 인식 및 화자 인식 시장 : 전개 모드별

클라우드 기반
On-Premise

제9장 음성 인식 및 화자 인식 시장 : 용도별

음성 검색
음성 명령
실시간 자막
음성 생체인식
고객 서비스
보안 인증

제10장 음성 인식 및 화자 인식 시장 : 산업별

자동차
- 차량 제어
- 차량 보험
상용
- 콜센터 인증
- IT 보안
- 근태 관리 시스템
- 기업 로보틱스
CE 제품
- 모바일 디바이스 제어
- 웨어러블 디바이스 제어
은행, 금융서비스 및 보안(BFSI)
- 부정행위 특정
- 모바일 뱅킹
- 무인 은행 지점
정부
- 검증
- 식별
소매
- 사기 조사
- POS 거래
- 로봇 키오스크
헬스케어
- 환자 의료 기록 액세스
- 특수 용도 로봇
군
- 액세스 제어 시스템
- 국경 관리 시스템
법률
- 문서 전사
교육
- 언어학습
- 장애인 교육 및 e러닝
기타

제11장 음성 인식 및 화자 인식 시장 : 지역별

북미
- 미국
- 캐나다
- 멕시코
유럽
- 영국
- 독일
- 프랑스
- 이탈리아
- 기타
아시아태평양
- 일본
- 중국
- 한국
- 인도
- 기타
기타
- 중동
- 아프리카
- 남미

제12장 경쟁 구도

개요
주요 시장 진출기업의 전략/강점
매출 분석
시장 점유율 분석
기업 평가 매트릭스 : 주요 기업
기업 평가 매트릭스 : 스타트업/중소기업
경쟁 시나리오

제13장 기업 개요

주요 기업
- MICROSOFT
- IBM
- ALPHABET
- AMAZON.COM, INC.
- APPLE INC.
- BAIDU INC.
- IFLYTEK CORPORATION
- SESTEK
- SPEAK2WEB
- VERINT SYSTEMS INC.
- SPEECHMATICS
- DEEPGRAM
- VOICEITT
- VOICEGAIN
- SENSORY INC.
- ASSEMBLYAI, INC.
- VERBIT.AI
- OTTER.AI INC
- REV
기타 기업
- RAYTHEON BBN TECHNOLOGIES
- M2SYS TECHNOLOGY
- SOLVENTUM
- VALIDSOFT
- LUMENVOX, LLC
- SPEECH PROCESSING SOLUTIONS GMBH
- UNIPHORE
- ISPEECH, INC.
- GOVIVACE INC
- CONVAI
- DOLBEY AND COMPANY, INC
- SOUNDHOUND AI INC.
- ELEVENLABS
- BELITSOFT
- VERBIO TECHNOLOGIES, S.L.

제14장 부록

LSH

영문 목차

영문목차

The global speech and voice recognition market is projected to grow from USD 9.66 billion in 2025 to USD 23.11 billion by 2030, at a CAGR of 19.1%. The speech and voice recognition market is growing significantly due to the expanding penetration of voice technology in smart appliances. Devices such as smart TVs, refrigerators, washing machines, thermostats, and lighting systems are increasingly being equipped with built-in voice control features, enabling users to operate them hands-free with simple voice commands. This integration enhances convenience, accessibility, and user experience, making homes more intuitive and connected.

Scope of the Report
Years Considered for the Study	2021-2030
Base Year	2024
Forecast Period	2025-2030
Units Considered	Value (USD Billion)
Segments	By Technology, Deployment Mode, Application, Vertical, and Region
Regions covered	North America, Europe, APAC, RoW

Consumers are drawn to the efficiency and personalization offered by voice-enabled appliances. Additionally, rising demand for energy-efficient and automated home systems is accelerating adoption, while advancements in AI and IoT continue to drive innovation in this space.

"Voice recognition segment to grow at the fastest CAGR during the forecasted period."

Voice recognition is growing at the fastest rate within the speech and voice recognition market due to its increasing adoption across both consumer and enterprise applications. As users seek faster, more intuitive, and hands-free interaction, voice commands are becoming preferred in smartphones, smart speakers, wearables, and automotive systems. The rise of smart homes and IoT ecosystems is further driving demand for voice-activated control. In the enterprise space, sectors like healthcare, customer service, and logistics are leveraging voice recognition to streamline operations, improve documentation, and enhance user engagement. Additionally, remote work and virtual collaboration tools now integrate voice features for real-time transcription and navigation. Continuous advancements in natural language understanding, contextual awareness, and multilingual support have greatly improved voice accuracy and user experience. Moreover, voice recognition plays a critical role in enhancing accessibility for differently-abled users, adding to its broad appeal and accelerating its adoption globally across various use cases.

"Voice search segment dominated the speech and voice recognition market in 2024."

The voice search segment dominated the speech and voice recognition market in 2024 due to its widespread use across smartphones, smart speakers, and web applications. Consumers increasingly prefer voice search for its speed, convenience, and hands-free functionality, especially for tasks like browsing, navigation, and local business inquiries. Major tech players like Google, Apple, Amazon, and Microsoft have deeply integrated voice search into their ecosystems, boosting usage through virtual assistants such as Google Assistant, Siri, Alexa, and Cortana. Additionally, advancements in natural language processing and AI have significantly improved the accuracy and relevance of voice search results, encouraging user adoption. The growing use of voice for e-commerce, media access, and daily tasks has made it a dominant interface, particularly among younger and multilingual user bases. As users seek more conversational and efficient ways to interact with technology, voice search continues to lead the market in both consumer and enterprise applications.

The US is expected to hold the most prominent market share in North America during the forecast period."

The US dominates the speech and voice recognition market in North America due to its advanced technological infrastructure, high adoption of AI-driven solutions, and presence of key global players such as Apple, Google, Amazon, Microsoft, and IBM. These companies drive continuous innovation in voice assistants, cloud-based speech services, and smart device integration. The US also leads in R&D investments, startup activity, and deployment of speech technologies across sectors like healthcare, finance, retail, and automotive. Additionally, growing demand for contactless solutions, voice biometrics, and personalized digital experiences has accelerated adoption. Strong consumer demand, regulatory support for accessibility, and enterprise digitalization further reinforce the US's leadership in this market.

In-depth interviews have been conducted with chief executive officers (CEOs), directors, and other executives from various key organizations operating in the speech and voice recognition marketplace.

By Company Type: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
By Designation: C-level Executives - 35%, Directors - 25%, and Others - 40%
By Region: North America - 45%, Europe - 20%, Asia Pacific - 30%, and RoW - 5%

The study includes an in-depth competitive analysis of these key players in the speech and voice recognition market, with their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the speech and voice recognition market by technology, deployment mode, application, vertical, and region (North America, Europe, Asia Pacific). The report covers detailed information regarding major factors influencing market growth, such as drivers, restraints, challenges, and opportunities. A thorough analysis of the key industry players has provided insights into their business overview, solutions and services, key strategies, contracts, partnerships, and agreements. Product and service launches, acquisitions, and recent developments associated with the speech and voice recognition market. This report covers a competitive analysis of upcoming startups in the speech and voice recognition market ecosystem.

Reasons to Buy This Report

The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the speech and voice recognition market and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

Analysis of key drivers (Escalated use of speech and voice recognition software by healthcare professionals, extensive penetration of speech and voice recognition technologies in smart appliances, increasing demand for speech and voice recognition technologies for transcription, increasing adoption of voice based biometric systems in financial service providers), restraints (Limitation of software to understand contextual relation of words in different languages, Limited capacity to recognize and respond to customer intent), opportunities (Customer preference for cloud-based speech-to-text software, Increasing popularity of online shopping, Development of personalized applications for users), and challenges (Creating unique vocabulary for various industries, Increased errors due to background noise) influencing the growth of the speech and voice recognition market.
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and product launches in the speech and voice recognition market
Market Development: Comprehensive information about lucrative markets with an analysis of the speech and voice recognition market across varied regions
Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the speech and voice recognition market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the speech and voice recognition market, such as Apple Inc. (US), Microsoft (US), IBM (US), Alphabet (US), and Amazon (US)

1 INTRODUCTION

1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
- 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
- 1.3.2 YEARS CONSIDERED
- 1.3.3 INCLUSIONS AND EXCLUSIONS
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

2.1 RESEARCH DATA
- 2.1.1 SECONDARY AND PRIMARY RESEARCH
- 2.1.2 SECONDARY DATA
  - 2.1.2.1 Key data from secondary sources
  - 2.1.2.2 List of key secondary sources
- 2.1.3 PRIMARY DATA
  - 2.1.3.1 Key data from primary sources
  - 2.1.3.2 Key industry insights
  - 2.1.3.3 List of primary interview participants
  - 2.1.3.4 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION
- 2.2.1 BOTTOM-UP APPROACH
  - 2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
- 2.2.2 TOP-DOWN APPROACH
  - 2.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SPEECH AND VOICE RECOGNITION MARKET
4.2 SPEECH AND VOICE RECOGNITION MARKET, BY TECHNOLOGY
4.3 SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION
4.4 SPEECH AND VOICE RECOGNITION MARKET, BY VERTICAL AND REGION
4.5 SPEECH AND VOICE RECOGNITION MARKET, BY GEOGRAPHY

5 MARKET OVERVIEW

5.1 INTRODUCTION
5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
  - 5.2.1.1 Mounting demand for advanced healthcare technologies
  - 5.2.1.2 Growing consumption of smart home appliances
  - 5.2.1.3 Rising need for real-time transcription in virtual meetings and industrial settings
  - 5.2.1.4 Increasing adoption of voice biometric systems in financial services sector
  - 5.2.1.5 Rising integration of AI into speech and voice recognition systems
- 5.2.2 RESTRAINTS
  - 5.2.2.1 Inability to identify homophones and understand terms in different languages
  - 5.2.2.2 Limitations in gathering datasets for establishing approach that accurately converts speech to text
  - 5.2.2.3 Multilingual and intent recognition challenges of voice assistants
  - 5.2.2.4 Concerns regarding data privacy and security
  - 5.2.2.5 High cost of high-end voice recognition systems deployed in automobiles
  - 5.2.2.6 Requirement for high R&D investment in neural networks and deep learning technologies
- 5.2.3 OPPORTUNITIES
  - 5.2.3.1 Customer preference for cloud-based speech-to-text software
  - 5.2.3.2 Growing popularity of online shopping
  - 5.2.3.3 Development of personalized, human-centric technologies
  - 5.2.3.4 Integration of speech and voice recognition technology with mobile applications
  - 5.2.3.5 Development of speech and voice recognition software for micro-linguistics and local languages
  - 5.2.3.6 Application of speech and voice recognition technologies in service robotics
  - 5.2.3.7 Reliance on cutting-edge technologies to educate disabled students
  - 5.2.3.8 Increasing R&D of autonomous vehicles
  - 5.2.3.9 Consumer preference for technologically advanced products
- 5.2.4 CHALLENGES
  - 5.2.4.1 Complexities in creating unique vocabulary for various industries
  - 5.2.4.2 Limited awareness regarding availability and benefits of voice assistant technologies
  - 5.2.4.3 Increased errors due to background noise
  - 5.2.4.4 Lack of standardized platform for developing customized products
  - 5.2.4.5 Slow network speeds posing challenge to cloud-based speech recognition services
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 PRICING ANALYSIS
- 5.5.1 AVERAGE SELLING PRICE OF AUTOMATIC SPEECH RECOGNITION TECHNOLOGY OFFERED BY KEY PLAYERS, 2024
- 5.5.2 AVERAGE SELLING PRICE TREND OF SPEECH AND VOICE RECOGNITION SYSTEMS, BY TECHNOLOGY, 2020-2024
- 5.5.3 AVERAGE SELLING PRICE TREND OF AUTOMATIC SPEECH RECOGNITION TECHNOLOGY, BY REGION, 2020-2024
5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.7 CASE STUDY ANALYSIS
- 5.7.1 SESTEK HELPS TEKNOSA INCREASE FIRST-CALL RESOLUTION RATE AND SHORTEN CALL DURATIONS AT CONTACT CENTER
- 5.7.2 SESTEK ASSISTS AGENTS AT AL BARAKA BANK CONTACT CENTER TO SIGNIFICANTLY IMPROVE EFFICIENCY AND REDUCE WORKLOAD
- 5.7.3 MICROSOFT TRANSLATOR APPLICATION FACILITATES MULTILINGUAL PARENT-TEACHER COMMUNICATION AT CHINOOK MIDDLE SCHOOL
- 5.7.4 IBM WATSON HELPS BRADESCO BANK REDUCE RESPONSE TIME USING SPEECH RECOGNITION AI BOT
- 5.7.5 ALEXA AIDS HAWAII PACIFIC HEALTH IN ENHANCING PATIENT EXPERIENCE BY QUERY RESOLUTION
- 5.7.6 CHATBOT BY ROANUZ ANSWERS USER QUERIES QUICKLY
5.8 PORTER'S FIVE FORCES ANALYSIS
- 5.8.1 THREAT OF NEW ENTRANTS
- 5.8.2 THREAT OF SUBSTITUTES
- 5.8.3 BARGAINING POWER OF BUYERS
- 5.8.4 BARGAINING POWER OF SUPPLIERS
- 5.8.5 INTENSITY OF COMPETITIVE RIVALRY
5.9 KEY STAKEHOLDERS & BUYING CRITERIA
- 5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.9.2 BUYING CRITERIA
5.10 TECHNOLOGY ANALYSIS
- 5.10.1 KEY TECHNOLOGIES
  - 5.10.1.1 Natural language processing
  - 5.10.1.2 Voice activity detection
- 5.10.2 ADJACENT TECHNOLOGIES
  - 5.10.2.1 Cloud computing
  - 5.10.2.2 Edge AI
- 5.10.3 COMPLEMENTARY TECHNOLOGIES
  - 5.10.3.1 Internet of Things (IoT)
  - 5.10.3.2 Smart wearables
5.11 PATENT ANALYSIS
5.12 TRADE ANALYSIS
- 5.12.1 IMPORT SCENARIO (HS CODE 851989)
- 5.12.2 EXPORT SCENARIO (HS CODE 851989)
5.13 TARIFF AND REGULATORY LANDSCAPE
- 5.13.1 TARIFF ANALYSIS
- 5.13.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.13.3 CODES AND STANDARDS
5.14 KEY CONFERENCES AND EVENTS, 2025-2026
5.15 IMPACT OF AI ON SPEECH AND VOICE RECOGNITION MARKET
- 5.15.1 INTRODUCTION
- 5.15.2 AI USE CASES IN SPEECH AND VOICE RECOGNITION MARKET
5.16 IMPACT OF 2025 US TARIFF ON SPEECH AND VOICE RECOGNITION MARKET
- 5.16.1 INTRODUCTION
- 5.16.2 KEY TARIFF RATES
- 5.16.3 PRICE IMPACT ANALYSIS
- 5.16.4 IMPACT ON COUNTRIES/REGIONS
  - 5.16.4.1 US
  - 5.16.4.2 Europe
  - 5.16.4.3 Asia Pacific
- 5.16.5 IMPACT ON VERTICALS

6 SPEECH AND VOICE RECOGNITION TYPES

6.1 INTRODUCTION
6.2 AI-BASED
6.3 NON-AI-BASED

7 SPEECH AND VOICE RECOGNITION MARKET, BY TECHNOLOGY

7.1 INTRODUCTION
7.2 VOICE RECOGNITION
- 7.2.1 SPEAKER IDENTIFICATION
  - 7.2.1.1 Growing trend of automatic information processing and telecommunication technology to fuel segmental growth
- 7.2.2 SPEAKER VERIFICATION
  - 7.2.2.1 Increasing adoption in banks and financial services to prevent fraudulent attempts to boost segmental growth
7.3 AUTOMATIC SPEECH RECOGNITION
- 7.3.1 RISING DEPLOYMENT OF VOICE-CONTROLLED TECHNOLOGIES TO ENHANCE TRUST AND CUSTOMER ENGAGEMENT TO AUGMENT SEGMENTAL GROWTH

8 SPEECH AND VOICE RECOGNITION MARKET, BY DEPLOYMENT MODE

8.1 INTRODUCTION
8.2 CLOUD-BASED
- 8.2.1 LOW OPERATION AND MAINTENANCE EXPENSES AND QUICKER DEPLOYMENTS TO FUEL SEGMENTAL GROWTH
8.3 ON-PREMISES
- 8.3.1 GROWING CONCERNS OVER DATA PRIVACY AND SECURITY TO BOLSTER SEGMENTAL GROWTH

9 SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION

9.1 INTRODUCTION
9.2 VOICE SEARCH
- 9.2.1 ABILITY TO PROVIDE QUICK, HANDS-FREE ACCESS TO INFORMATION, NAVIGATION, AND SERVICES TO FUEL SEGMENTAL GROWTH
9.3 VOICE COMMAND
- 9.3.1 RAPID ADVANCES IN NATURAL LANGUAGE PROCESSING TO ACCELERATE SEGMENTAL GROWTH
9.4 REAL-TIME TRANSCRIPTION
- 9.4.1 RISE IN HYBRID WORK, VIRTUAL EVENTS, AND DIGITAL LEARNING ENVIRONMENTS TO BOLSTER SEGMENTAL GROWTH
9.5 VOICE BIOMETRICS
- 9.5.1 GROWING CYBERSECURITY THREATS AND DEMAND FOR SEAMLESS AUTHENTICATION TO FOSTER SEGMENTAL GROWTH
9.6 CUSTOMER SERVICE
- 9.6.1 MOUNTING DEMAND FOR TOUCH-FREE SOLUTIONS TO EXPEDITE SEGMENTAL GROWTH
9.7 SECURITY AUTHENTICATION
- 9.7.1 INCREASING DEPENDENCE ON DIGITAL PLATFORMS TO AUGMENT SEGMENTAL GROWTH

10 SPEECH AND VOICE RECOGNITION MARKET, BY VERTICAL

10.1 INTRODUCTION
10.2 AUTOMOTIVE
- 10.2.1 VEHICLE CONTROL
  - 10.2.1.1 Requirement for voice interfaces in connected vehicles to boost segmental growth
- 10.2.2 VEHICLE INSURANCE
  - 10.2.2.1 Emphasis on automating and humanizing customer engagement to fuel segmental growth
10.3 COMMERCIAL
- 10.3.1 CALL CENTER AUTHENTICATION
  - 10.3.1.1 Ability to support faster, frictionless verification to augment segmental growth
- 10.3.2 IT SECURITY
  - 10.3.2.1 Use to strengthen identity management and reduce reliance on passwords or physical tokens to drive market
- 10.3.3 TIME & ATTENDANCE SYSTEMS
  - 10.3.3.1 Focus on automating employee check-ins and limiting manual errors to bolster segmental growth
- 10.3.4 ENTERPRISE ROBOTICS
  - 10.3.4.1 Ability to enhance productivity and reduce training requirements of workers to accelerate segmental growth
10.4 CONSUMER ELECTRONICS
- 10.4.1 MOBILE DEVICE CONTROL
  - 10.4.1.1 Rapid digitalization and smartphone adoption to contribute to segmental growth
- 10.4.2 WEARABLE DEVICE CONTROL
  - 10.4.2.1 Focus on automated control to enhance functionality and user engagement to boost segmental growth
10.5 BFSI
- 10.5.1 FRAUD IDENTIFICATION
  - 10.5.1.1 Reliance on voice recognition systems to verify identity and flag suspicious behavior to foster segmental growth
- 10.5.2 MOBILE BANKING
  - 10.5.2.1 Focus on enhancing security and simplifying user interactions to contribute to segmental growth
- 10.5.3 UNSTAFFED BANK BRANCHES
  - 10.5.3.1 Adoption of speech and voice recognition systems to provide secure interactions to boost segmental growth
10.6 GOVERNMENT
- 10.6.1 VERIFICATION
  - 10.6.1.1 Use of voice recognition technologies to identify persons of interest to bolster segmental growth
- 10.6.2 IDENTIFICATION
  - 10.6.2.1 Ability to function remotely and quickly to drive adoption in time-sensitive and sensitive environments
10.7 RETAIL
- 10.7.1 FRAUD INVESTIGATION
  - 10.7.1.1 Adoption of voice recognition systems to identify individuals involved in suspicious transactions to drive market
- 10.7.2 POINT OF SALE TRANSACTION
  - 10.7.2.1 Integration of speech recognition to enable secure, hands-free transactions to accelerate segmental growth
- 10.7.3 ROBOTIC KIOSK
  - 10.7.3.1 Strong focus on providing highly interactive, human-like experiences in retail and service environments to fuel segmental growth
10.8 HEALTHCARE
- 10.8.1 PATIENT MEDICAL RECORD ACCESS
  - 10.8.1.1 Emphasis on improving workflow and reducing time spent on manual data entry to foster segmental growth
- 10.8.2 SPECIAL-PURPOSE ROBOTS
  - 10.8.2.1 Use to enable natural interaction with patients and medical staff to expedite segmental growth
10.9 MILITARY
- 10.9.1 ACCESS CONTROL SYSTEMS
  - 10.9.1.1 Ability to enhance security and streamline authentication to contribute to segmental growth
- 10.9.2 BORDER MANAGEMENT SYSTEMS
  - 10.9.2.1 Need to strengthen identity verification and detect potential threats more efficiently to fuel segmental growth
10.10 LEGAL
- 10.10.1 DOCUMENT TRANSCRIPTION
  - 10.10.1.1 Reliance on speech recognition to improve accuracy and accessibility of legal transcriptions to foster segmental growth
10.11 EDUCATION
- 10.11.1 LANGUAGE LEARNING
  - 10.11.1.1 Deployment of speech recognition technologies to enable real-time pronunciation feedback and speech assessment to drive market
- 10.11.2 EDUCATION FOR DISABLED & E-LEARNING
  - 10.11.2.1 Requirement for hands-free interaction and voice-controlled navigation to augment segmental growth
10.12 OTHER VERTICALS

11 SPEECH AND VOICE RECOGNITION MARKET, BY REGION

11.1 INTRODUCTION
11.2 NORTH AMERICA
- 11.2.1 US
  - 11.2.1.1 Growing focus on increasing productivity and efficiency across enterprises to drive market
- 11.2.2 CANADA
  - 11.2.2.1 High deployment of voice-activated biometrics in banking sector to augment market growth
- 11.2.3 MEXICO
  - 11.2.3.1 Rising consumer preference for innovative technologies to bolster market growth
11.3 EUROPE
- 11.3.1 UK
  - 11.3.1.1 Burgeoning demand for voice-enabled payment solutions to boost market growth
- 11.3.2 GERMANY
  - 11.3.2.1 Increasing reliance on AI and cognitive technologies in enterprises to fuel market growth
- 11.3.3 FRANCE
  - 11.3.3.1 Significant focus on improving air traffic control to contribute to market growth
- 11.3.4 ITALY
  - 11.3.4.1 Mounting adoption of AI-driven solutions across industries to augment market growth
- 11.3.5 REST OF EUROPE
11.4 ASIA PACIFIC
- 11.4.1 JAPAN
  - 11.4.1.1 Rising integration of AI into innovative robotic devices to bolster market growth
- 11.4.2 CHINA
  - 11.4.2.1 Mounting adoption of advanced technologies to accelerate market growth
- 11.4.3 SOUTH KOREA
  - 11.4.3.1 Advanced digital infrastructure and strong commitment to AI development to foster market growth
- 11.4.4 INDIA
  - 11.4.4.1 Large-scale technological development and increasing number of mobile and internet users to drive market
- 11.4.5 REST OF ASIA PACIFIC
11.5 ROW
- 11.5.1 MIDDLE EAST
  - 11.5.1.1 Mounting adoption of voice assistant devices to augment market growth
- 11.5.2 AFRICA
  - 11.5.2.1 Increasing mobile penetration and need for inclusive digital solutions to drive market
- 11.5.3 SOUTH AMERICA
  - 11.5.3.1 Rising internet penetration to contribute to market growth

12 COMPETITIVE LANDSCAPE

12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
12.3 REVENUE ANALYSIS, 2020-2024
12.4 MARKET SHARE ANALYSIS, 2024
12.5 COMPANY EVALUATION MATRIX: KEY COMPANIES, 2024
- 12.5.1 STARS
- 12.5.2 EMERGING LEADERS
- 12.5.3 PERVASIVE PLAYERS
- 12.5.4 PARTICIPANTS
- 12.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
  - 12.5.5.1 Company footprint
  - 12.5.5.2 Region footprint
  - 12.5.5.3 Technology footprint
  - 12.5.5.4 Deployment mode footprint
  - 12.5.5.5 Application footprint
  - 12.5.5.6 Vertical footprint
12.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES 2024
- 12.6.1 PROGRESSIVE COMPANIES
- 12.6.2 RESPONSIVE COMPANIES
- 12.6.3 DYNAMIC COMPANIES
- 12.6.4 STARTING BLOCKS
- 12.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
  - 12.6.5.1 Detailed list of key startups/SMEs
  - 12.6.5.2 Competitive benchmarking of key startups/SMEs
12.7 COMPETITIVE SCENARIO
- 12.7.1 PRODUCT LAUNCHES
- 12.7.2 DEALS

13 COMPANY PROFILES

13.1 KEY PLAYERS
- 13.1.1 MICROSOFT
  - 13.1.1.1 Business overview
  - 13.1.1.2 Products/Solutions/Services offered
  - 13.1.1.3 Recent developments
    - 13.1.1.3.1 Product launches
  - 13.1.1.4 MnM view
    - 13.1.1.4.1 Key strengths/Right to win
    - 13.1.1.4.2 Strategic choices
    - 13.1.1.4.3 Weaknesses/Competitive threats
- 13.1.2 IBM
  - 13.1.2.1 Business overview
  - 13.1.2.2 Products/Solutions/Services offered
  - 13.1.2.3 Recent developments
    - 13.1.2.3.1 Product launches
  - 13.1.2.4 MnM view
    - 13.1.2.4.1 Key strengths/Right to win
    - 13.1.2.4.2 Strategic choices
    - 13.1.2.4.3 Weaknesses/Competitive threats
- 13.1.3 ALPHABET
  - 13.1.3.1 Business overview
  - 13.1.3.2 Products/Solutions/Services offered
  - 13.1.3.3 Recent developments
    - 13.1.3.3.1 Product launches
  - 13.1.3.4 MnM view
    - 13.1.3.4.1 Key strengths/Right to win
    - 13.1.3.4.2 Strategic choices
    - 13.1.3.4.3 Weaknesses/Competitive threats
- 13.1.4 AMAZON.COM, INC.
  - 13.1.4.1 Business overview
  - 13.1.4.2 Products/Solutions/Services offered
  - 13.1.4.3 Recent developments
    - 13.1.4.3.1 Product launches
    - 13.1.4.3.2 Deals
  - 13.1.4.4 MnM view
    - 13.1.4.4.1 Key strengths/Right to win
    - 13.1.4.4.2 Strategic choices
    - 13.1.4.4.3 Weaknesses/Competitive threats
- 13.1.5 APPLE INC.
  - 13.1.5.1 Business overview
  - 13.1.5.2 Products/Solutions/Services offered
  - 13.1.5.3 Recent developments
    - 13.1.5.3.1 Product launches
  - 13.1.5.4 MnM view
    - 13.1.5.4.1 Key strengths/Right to win
    - 13.1.5.4.2 Strategic choices
    - 13.1.5.4.3 Weaknesses/Competitive threats
- 13.1.6 BAIDU INC.
  - 13.1.6.1 Business overview
  - 13.1.6.2 Products/Solutions/Services offered
  - 13.1.6.3 Recent developments
    - 13.1.6.3.1 Product launches
    - 13.1.6.3.2 Deals
- 13.1.7 IFLYTEK CORPORATION
  - 13.1.7.1 Business overview
  - 13.1.7.2 Products/Solutions/Services offered
  - 13.1.7.3 Recent developments
    - 13.1.7.3.1 Product launches
- 13.1.8 SESTEK
  - 13.1.8.1 Business overview
  - 13.1.8.2 Products/Solutions/Services offered
  - 13.1.8.3 Recent developments
    - 13.1.8.3.1 Product launches
- 13.1.9 SPEAK2WEB
  - 13.1.9.1 Business overview
  - 13.1.9.2 Products/Solutions/Services offered
- 13.1.10 VERINT SYSTEMS INC.
  - 13.1.10.1 Business overview
  - 13.1.10.2 Products/Solutions/Services offered
  - 13.1.10.3 Recent developments
    - 13.1.10.3.1 Product launches
    - 13.1.10.3.2 Deals
- 13.1.11 SPEECHMATICS
  - 13.1.11.1 Business overview
  - 13.1.11.2 Products/Solutions/Services offered
  - 13.1.11.3 Recent developments
    - 13.1.11.3.1 Product launches
    - 13.1.11.3.2 Deals
- 13.1.12 DEEPGRAM
  - 13.1.12.1 Business overview
  - 13.1.12.2 Products/Solutions/Services offered
  - 13.1.12.3 Recent developments
    - 13.1.12.3.1 Product launches
- 13.1.13 VOICEITT
  - 13.1.13.1 Business overview
  - 13.1.13.2 Products/Solutions/Services offered
- 13.1.14 VOICEGAIN
  - 13.1.14.1 Business overview
  - 13.1.14.2 Products/Solutions/Services offered
  - 13.1.14.3 Recent developments
    - 13.1.14.3.1 Product launches
- 13.1.15 SENSORY INC.
  - 13.1.15.1 Business overview
  - 13.1.15.2 Products/Solutions/Services offered
  - 13.1.15.3 Recent developments
    - 13.1.15.3.1 Product launches
- 13.1.16 ASSEMBLYAI, INC.
  - 13.1.16.1 Business overview
  - 13.1.16.2 Products/Solutions/Services offered
  - 13.1.16.3 Recent developments
    - 13.1.16.3.1 Product launches
    - 13.1.16.3.2 Deals
- 13.1.17 VERBIT.AI
  - 13.1.17.1 Business overview
  - 13.1.17.2 Products/Solutions/Services offered
  - 13.1.17.3 Recent developments
    - 13.1.17.3.1 Product launches
    - 13.1.17.3.2 Deals
- 13.1.18 OTTER.AI INC
  - 13.1.18.1 Business overview
  - 13.1.18.2 Products/Solutions/Services offered
  - 13.1.18.3 Recent developments
    - 13.1.18.3.1 Product launches
- 13.1.19 REV
  - 13.1.19.1 Business overview
  - 13.1.19.2 Products/Solutions/Services offered
13.2 OTHER PLAYERS
- 13.2.1 RAYTHEON BBN TECHNOLOGIES
- 13.2.2 M2SYS TECHNOLOGY
- 13.2.3 SOLVENTUM
- 13.2.4 VALIDSOFT
- 13.2.5 LUMENVOX, LLC
- 13.2.6 SPEECH PROCESSING SOLUTIONS GMBH
- 13.2.7 UNIPHORE
- 13.2.8 ISPEECH, INC.
- 13.2.9 GOVIVACE INC
- 13.2.10 CONVAI
- 13.2.11 DOLBEY AND COMPANY, INC
- 13.2.12 SOUNDHOUND AI INC.
- 13.2.13 ELEVENLABS
- 13.2.14 BELITSOFT
- 13.2.15 VERBIO TECHNOLOGIES, S.L.

14 APPENDIX

14.1 INSIGHTS FROM INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
14.4 CUSTOMIZATION OPTIONS
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS