세계의 AI 음성 생성기 시장 : 제공별, 용도별, 산업별, 지역별 - 예측(-2030년)
AI Voice Generator Market by Technology (Deep Learning, Transformer Models, Generative Adversarial Networks (GANs), Autoencoder; Voice Translation, Voice Cloning, Text to Speech, Virtual Assistants, AI Music Generator) - Global Forecast to 2030
상품코드:1534554
리서치사:MarketsandMarkets
발행일:2024년 08월
페이지 정보:영문 441 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
AI 음성 생성기 시장 규모는 2024년 30억 달러에서 2030년 204억 달러로 성장해 예측 기간 동안 37.1%의 CAGR을 기록할 것으로 예상됩니다.
접근성 기술에 대한 인식이 높아지고, 고객 서비스 업무에 AI 도입이 확대되고, 자연어 처리 및 기계 학습 기술 시장이 발전함에 따라 시장 성장이 예상됩니다.
조사 범위
조사 대상 연도
2019-2030년
기준 연도
2023년
예측 기간
2024-2030년
검토 단위
달러(10억 달러)
부문
제공별, 용도별, 업종별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
가상 비서 애플리케이션은 일상적인 제품 및 서비스에서 유비쿼터스화되면서 예측 기간 동안 AI 음성 생성기 시장에서 가장 빠른 성장률을 기록할 것으로 예측됩니다. 이는 스마트 홈 기기, 더 나은 고객 서비스, 매력적인 사용자 경험에 대한 수요가 증가하고 있기 때문입니다. 자연어 처리 및 음성 기술의 새로운 발전으로 가상 비서가 사용자의 요구를 해석하고 보다 정확하고 인간에 가까운 방식으로 응답할 수 있게 되었습니다. 또한 의료, 은행, 소매 등 분야에서 가상 비서의 활용이 확대되고 있는 것도 가상 비서의 소비와 시장 성장을 촉진하고 있습니다.
독특하고 매력적인 오디오 출력에 대한 업계의 요구가 증가함에 따라 미디어 및 엔터테인먼트 산업이 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 디지털 컨텐츠, 스트리밍 플랫폼, 멀티미디어 경험의 출시 이후 복잡한 음성 생성기, 맞춤형 오디오, 개선된 사운드의 개발은 큰 잠재력을 가지고 있으며, AI 음성 생성기 솔루션은 컨텐츠 제작을 용이하게 하고, 전문적인 사운드를 생성하며, 가변적인 음악 사운드를 생성하여 큰 시장 성장으로 이어질 수 있도록 도와줍니다. 이 산업이 계속 성장함에 따라 정교한 음성 기술에 대한 수요는 현재의 강력한 시장 지위를 더욱 강화할 것으로 예상됩니다.
이 보고서는 세계 AI 음성 생성기 시장을 조사하여 제공별, 용도별, 산업별, 지역별 동향, 시장 진입 기업 개요 등을 정리한 보고서입니다.
목차
제1장 소개
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
소개
시장 역학
AI 음성 생성기 시장의 진화
AI 음성 생성기 기술
공급망 분석
생태계 분석
투자 상황과 자금 조달 시나리오
사례 연구 분석
기술 분석
규제 상황
특허 분석
가격 분석
주요 회의와 이벤트(2024-2025년)
Porter's Five Forces 분석
AI 음성 생성기 시장 : 기술 로드맵
주요 이해관계자와 구입 기준
고객의 비즈니스에 영향을 미치는 동향/혼란
제6장 AI 음성 생성기 시장(제공별)
소개
소프트웨어
서비스
제7장 AI 음성 생성기 시장(용도별)
소개
오디오와 음성 합성
음성 변환과 클론
음악 제작과 작곡
오디오 더빙과 번역
음성 강화와 수복
기타
제8장 AI 음성 생성기 시장(업계별)
소개
미디어·엔터테인먼트
BFSI
헬스케어·생명과학
제조
소매·E-Commerce
수송·물류
건설·부동산
에너지·유틸리티
정부·방위
IT·ITES
통신
기타
제9장 AI 음성 생성기 시장(지역별)
소개
북미
유럽
아시아태평양
중동 및 아프리카
라틴아메리카
제10장 경쟁 상황
개요
주요 진출 기업 전략/비책
매출 분석
시장 점유율 분석
제품 비교 분석
기업 가치 평가와 재무 지표
기업 평가 매트릭스 : 주요 진출 기업, 2023년
기업 평가 매트릭스 : 스타트업/중소기업, 2023년
경쟁 시나리오와 동향
제11장 기업 개요
소개
주요 진출 기업
IBM
NVIDIA
META
MICROSOFT
GOOGLE
OPENAI
AWS
CISCO
SOUNDHOUND AI
ELEVENLABS
SPEECHIFY
SYNTHESIA
PLAYHT
RESEMBLE AI
STABILITY AI
RUNWAY
스타트업/중소기업
AMAI
MUSICO
WELLSAID LABS
DESCRIPT
AIVA TECHNOLOGIES
DUBDUB.AI
DEEPDUB
DUBVERSE
RESPEECHER
BEYONDWORDS
VOICEMOD
REPLICA STUDIOS
SIMPLIFIED
MURF AI
LISTNR AI
DEEPBRAIN AI
CAMB.AI
PODCASTLE
LOVO AI
SOUNDFUL
기타 벤더
SOUNDRAW
BEATOVEN.AI
ASSEMBLYAI
HOUR ONE
PICOVOICE
제12장 인접 시장과 관련 시장
제13장 부록
ksm
영문 목차
영문목차
The AI voice generator market is projected to grow from USD 3.0 billion in 2024 to USD 20.4 billion by 2030, at a compound annual growth rate (CAGR) of 37.1% during the forecast period. Market is anticipated to grow due to the rising awareness of accessibility technologies, growing adoption of AI in customer service operations and development in natural language processing and machine learning technologies.
Scope of the Report
Years Considered for the Study
2019-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
USD (Billion)
Segments
Offering, Application, Vertical, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"By audio & speech synthesis application, virtual assistants segment is expected to register the fastest market growth rate during the forecast period."
The application of virtual assistants is expected to grow at the fastest rate in the AI voice generator market during the forecast period as they gain ubiquity in everyday products and services. This is due to the growing demand for smart home devices, better customer service, and engaging user experiences. New developments in Natural language processing and in speech technology allow virtual assistants to interpret user's requests and respond in a much more accurate and human-like manner. Moreover, the increasing application of virtual assistants in the sectors such as healthcare, banking and retail also boosts their consumption and market growth.
"by vertical, media & entertainment is expected to account for the largest market share during the forecast period."
The media & entertainment vertical is expected to hold the largest market share owing to the rising need in the industry for unique and engaging audio outputs. Since the release of digital content, streaming platforms, and multimedia experiences, there has been great potential for the development of complex voice generation, customized audio, and improved sound. AI voice generator solutions can make content production easier, produce professional sound, and help create variable music sounds that lead to significant market growth. As the growth of this industry continues to unfold, demand for sophisticated voice technologies would only enhance its current strong market position.
"By Region, Asia Pacific is slated to grow at the fastest rate and North America to have the largest market share during the forecast period."
Asia-Pacific region is anticipated to have the fastest growth rate in the AI voice generator market due to the region's growing digital economy, greater acceptance of new-gen technologies, and urbanization. The media and entertainment verticals are growing in the region and there is increased consumption of high-end AI audio generator and AI speech generator solutions from the rising middle class with increased disposable incomes. Moreover, political support and the development of infrastructure promote rapid growth of innovation and the market among emerging leaders, such as China and India. On the other hand, North America will account for the largest market share due to the technological infrastructure, increased funding in AI R&D and the presence of leading market players in the region. The superior technology provisioning, and the all-embracing use of artificial intelligence across streamers including media, entertainment, healthcare, and BFSI also help establish the region's supremacy. In this regard, due to North America's concentration on embracing advanced technologies and innovations, the region can be considered as a leader in the market of AI voice generator.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI voice generator market.
By Company: Tier I - 35%, Tier II - 45%, and Tier III - 20%
By Designation: C-Level Executives - 35%, D-Level Executives - 25%, and others - 40%
By Region: North America - 40%, Europe - 30%, Asia Pacific - 20%, Middle East & Africa - 5%, and Latin America - 5%
The report includes the study of key players offering AI voice generator solutions and services. It profiles major vendors in the AI voice generator market. The major players in the AI voice generator market include IBM (US), NVIDIA (US), OpenAI (US), Meta (US), Microsoft (US), Google (US), AWS (US), Cisco (US), SoundHound (US), Speechify (US), ElevanLabs (US), Synthesia (UK), PlayHT (US), Resemble AI (US), Stability AI (UK), Runway (US).
Research coverage
This research report categorizes the AI voice generator Market by Offering (Software and Services), Software By Type (Deep Learning Models, Generative Adversarial Networks, Autoencoders, and Transformer Models), Software By Deployment Mode (Cloud and On-premises), By Services (Professional Services [Training & Consulting, System Integration & Implementation, and Support & Maintenance] and Managed Services), By Application (Audio and Speech Synthesis, Voice Conversion and Cloning, Music Generation and Composition, Audio Dubbing and Translation, Voice Enhancement and Restoration, and Other Applications [Podcast and Storytelling Narration, and Audio and Speech Emotion Recognition]) By Vertical (Media & Entertainment, BFSI, Healthcare & Life Sciences, Manufacturing, Retail & Ecommerce, Transporation & Logistics, Construction & Real Estate, Energy & Utilities, Government & Defense, IT & ITeS, Telecommunications, and Other Verticals[Travel & Hospitality and Education]), and By Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI voice generator market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI voice generator market. Competitive analysis of upcoming startups in the AI voice generator market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI voice generator market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (the growing adoption of voice-controlled devices and intelligent virtual assistants, rapid evolution of NLP and machine learning technologies, increasing necessity for accessibility features in digital content), restraints (absence of clarity in AI-driven decision-making processes for audio generation, high cost of developing and implementing advanced generative AI solutions, ethical concerns surrounding the use of AI-generated voices), opportunities (incorporation of generative AI with new technologies such as 5G and edge computing, increasing demand for localized content and multilingual support in global markets, growing market for personalized and emotionally intelligent AI assistants), and challenges (managing the computational requirements and energy consumption of large-scale generative AI models for audio & speech, abuse of generative AI audio technologies for fraud, misinformation, and other harmful activities, achieving human-like naturalness and emotional expressiveness in AI-generated speech).
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI voice generator market.
Market Development: Comprehensive information about lucrative markets - the report analyses the AI voice generator market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI voice generator market.
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like IBM (US), NVIDIA (US), OpenAI (US), Meta (US), Microsoft (US), Google (US), AWS (US), Cisco (US), SoundHound (US), Speechify (US), ElevanLabs (US), Synthesia (UK), PlayHT (US), Resemble AI (US), Stability AI (UK), Runway (US), among others in the AI voice generator market. The report also helps stakeholders understand the pulse of the AI voice generator market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN AI VOICE GENERATOR MARKET
4.2 AI VOICE GENERATOR MARKET: TOP THREE APPLICATIONS
4.3 NORTH AMERICA: AI VOICE GENERATOR MARKET, BY OFFERING AND VERTICAL
4.4 AI VOICE GENERATOR MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing demand for voice-enabled devices and virtual assistants
5.2.1.2 Advancements in NLP and machine learning technologies to enhance capabilities of gen AI in audio and speech
5.2.1.3 Growing need for accessibility solutions in digital content
5.2.2 RESTRAINTS
5.2.2.1 Lack of explainability in AI decision-making processes for audio generation
5.2.2.2 High cost of developing and implementing advanced generative AI solutions to hinder market growth
5.2.2.3 Ethical concerns surrounding use of AI-generated voices to lead to increased scrutiny
5.2.3 OPPORTUNITIES
5.2.3.1 Integration of gen AI with emerging technologies like 5G and edge computing to enable real-time audio and speech generation
5.2.3.2 Increasing demand for localized content and multilingual support in global markets to offer growth potential for AI-powered translation and dubbing services
5.2.3.3 Growing market for personalized and emotionally intelligent AI assistants to present opportunities for advanced generative AI speech technologies
5.2.4 CHALLENGES
5.2.4.1 Managing computational requirements and energy consumption of large-scale generative AI models for audio and speech becoming increasingly challenging
5.2.4.2 Misuse of generative AI audio technologies for fraud, misinformation, and other malicious activities
5.2.4.3 Achieving human-like naturalness and emotional expressiveness in AI-generated speech to remain significant technical challenge
5.3 EVOLUTION OF AI VOICE GENERATOR MARKET
5.4 AI VOICE GENERATOR TECHNIQUES
5.4.1 TOKENIZATION
5.4.2 QUANTIZATION
5.4.3 VECTORIZATION
5.5 SUPPLY CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.6.1 AI VOICE GENERATOR SOFTWARE PROVIDERS
5.6.2 AI VOICE GENERATOR SERVICE PROVIDERS
5.6.3 AI VOICE GENERATOR CLOUD SERVICE PROVIDERS
5.6.4 AI VOICE GENERATOR API-AS-A-SERVICE PROVIDERS
5.6.5 END USERS
5.6.6 GOVERNMENT & REGULATORY BODIES
5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.8 CASE STUDY ANALYSIS
5.8.1 MEDIA & ENTERTAINMENT
5.8.1.1 Deepdub helped FilmRise efficiently dub "Forensic Files" into Italian with eTTS Technology
5.8.2 BFSI
5.8.2.1 Streamlining global employee benefits consulting with Synthesia
5.8.3 HEALTHCARE & LIFE SCIENCES
5.8.3.1 Transforming Insight Global's journey with Synthesia's AI video platform
5.8.4 IT & ITES
5.8.4.1 Transforming voiceover creation: Snowflake leveraged AI to enhance marketing efficiency
5.8.5 RETAIL & E-COMMERCE
5.8.5.1 Transforming customer engagement: Beyond leveraged AI video synthesis for personalized communication
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Attention Mechanisms
5.9.1.2 Speech Recognition
5.9.1.3 Neural Vocoders
5.9.1.4 Natural Language Processing (NLP)
5.9.1.5 Text-to-Speech (TTS)
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Cloud Computing
5.9.2.2 Emotion AI
5.9.2.3 Big Data Analytics
5.9.2.4 Voice Activity Detection (VAD)
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Computer Vision
5.9.3.2 Speaker Diarization
5.9.3.3 Biometric Voice Authentication
5.9.3.4 Augmented and Virtual Reality Audio
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.10.2 REGULATIONS: AI VOICE GENERATOR MARKET
5.10.2.1 North America
5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California)
5.10.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut )
5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.10.2.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
5.10.2.2 Europe
5.10.2.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
5.10.2.2.2 General Data Protection Regulation (Europe)
5.10.2.3 Asia Pacific
5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.10.2.3.2 The National AI Strategy (Singapore)
5.10.2.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.10.2.4 Middle East & Africa
5.10.2.4.1 The National Strategy for Artificial Intelligence (UAE)
5.10.2.4.2 The National Artificial Intelligence Strategy (Qatar)
5.10.2.4.3 The AI Ethics Principles and Guidelines (Dubai)
5.10.2.5 Latin America
5.10.2.5.1 The Santiago Declaration (Chile)
5.10.2.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
5.11 PATENT ANALYSIS
5.11.1 METHODOLOGY
5.11.2 PATENTS FILED, BY DOCUMENT TYPE
5.11.3 INNOVATION AND PATENT APPLICATIONS
5.11.3.1 Top 10 applicants in AI voice generator market
5.12 PRICING ANALYSIS
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
5.13 KEY CONFERENCES AND EVENTS (2024-2025)
5.14 PORTER'S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 AI VOICE GENERATOR MARKET: TECHNOLOGY ROADMAP
6.2.1.1 AI voice generator software, by technology
6.2.1.2 Deep learning models
6.2.1.2.1 Deep learning models offer powerful capabilities for processing and generating high-quality audio
6.2.1.2.2 Convolutional neural networks
6.2.1.2.3 Recurrent neural networks
6.2.1.2.4 Long short-term memory (LSTM) networks
6.2.1.2.5 Gated recurrent units (GRUs)
6.2.1.3 Generative adversarial networks (GANs)
6.2.1.3.1 GANs provide unique approach to AI voice generators by training two competing neural networks to generate diverse audio and speech data
6.2.1.3.2 WaveGANs
6.2.1.3.3 SpeechGANs
6.2.1.4 Autoencoders
6.2.1.4.1 Autoencoders used for generative tasks requiring new data points similar to original input
6.2.1.4.2 Denoising autoencoders
6.2.1.4.3 Variational autoencoders (VAEs)
6.2.1.5 Transformer models
6.2.1.5.1 Transformer models offer state-of-the-art performance and can generate coherent and contextually relevant audio
6.2.1.5.2 Speech bidirectional encoder representations from transformers (BERTs)
6.2.1.5.3 Hidden-unit BERT (HuBERT)
6.2.1.5.4 Speech transformer
6.2.1.5.5 Wav2Vec
6.2.1.5.6 WaveNet
6.2.1.5.7 Tacotron
6.2.1.5.8 Other transformer models
6.2.2 SOFTWARE, BY DEPLOYMENT MODE
6.2.2.1 On-premises
6.2.2.1.1 On-premises deployment mode allows organizations to tailor AI voice generator solutions and integrate them seamlessly with existing systems
6.2.2.2 Cloud
6.2.2.2.1 Enabling faster deployment of AI solutions and accessibility of cutting-edge AI technologies with cloud deployment
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 Professional services help with requirement assessment and customized implementation and assistance with deployment of AI voice generator solutions
6.3.1.2 Training and consulting services
6.3.1.3 System integration and implementation services
6.3.1.4 Support and maintenance services
6.3.2 MANAGED SERVICES
6.3.2.1 Managed services provide end-to-end management for AI voice generators, helping businesses focus on core competencies
7 AI VOICE GENERATOR MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: AI VOICE GENERATOR MARKET DRIVERS
7.2 AUDIO & SPEECH SYNTHESIS
7.2.1 CREATING HUMAN-LIKE SPEECH AND SOUND FROM TEXT OR OTHER AUDIO INPUTS WITH AUDIO & SPEECH SYNTHESIS
7.2.2 TEXT-TO-SPEECH (TTS)
7.2.3 SPEECH-TO-SPEECH TRANSLATION
7.2.4 CUSTOM VOICE SYNTHESIS
7.2.5 VIRTUAL ASSISTANTS
7.2.6 OTHERS IN AUDIO & SPEECH SYNTHESIS
7.3 VOICE CONVERSION & CLONING
7.3.1 ORGANIZATIONS USE PERSONALIZED VOICES TO ESTABLISH CONSISTENT AND FAMILIAR BRAND VOICE IN AUTOMATED INTERACTIONS
7.3.2 VOICE MIMICKING
7.3.3 LANGUAGE LOCALIZATION
7.3.4 EMOTION TRANSFORMATION
7.3.5 PERSONALIZED DIGITAL VOICES
7.3.6 OTHERS IN VOICE CONVERSION & CLONING
7.4 MUSIC GENERATION & COMPOSITION
7.4.1 ENABLING CREATION OF NEW MUSICAL EXPERIENCES WITH INTEGRATION OF GENERATIVE AI
7.4.2 AUTOMATED MUSIC CREATION
7.4.3 MUSIC STYLE TRANSFER
7.4.4 SOUNDTRACK GENERATION
7.4.5 MUSIC REMIXING & MASHUPS
7.4.6 OTHERS IN MUSIC GENERATION & COMPOSITION
7.5 AUDIO DUBBING & TRANSLATION
7.5.1 CREATING VOICES IN VARIOUS LANGUAGES WITHOUT LOSING EMOTIONAL NUANCES OF ORIGINAL VOICE
7.5.2 MULTILINGUAL AUDIO DUBBING
7.5.3 REAL-TIME TRANSLATION
7.5.4 VOICE MATCH DUBBING
7.5.5 NARRATIVE DUBBING
7.5.6 OTHERS IN AUDIO DUBBING & TRANSLATION
7.6 VOICE ENHANCEMENT & RESTORATION
7.6.1 VOICE ENHANCEMENT AND RESTORATION APPLICATIONS CAN ANALYZE AUDIO SIGNALS IN INTRICATE DETAIL AND LEARNING PATTERNS TO EFFECTIVELY REMOVE IMPERFECTIONS
7.6.2 AUDIO NOISE REDUCTION
7.6.3 AUDIO UPSCALING
7.6.4 SPEECH ENHANCEMENT
7.6.5 OLD RECORD RESTORATION
7.6.6 OTHERS IN VOICE ENHANCEMENT & RESTORATION
7.7 OTHER APPLICATIONS
8 AI VOICE GENERATOR MARKET, BY VERTICAL
8.1 INTRODUCTION
8.1.1 VERTICAL: AI VOICE GENERATOR MARKET DRIVERS
8.2 MEDIA & ENTERTAINMENT
8.2.1 INCREASING GLOBAL CONTENT ACCESSIBILITY THROUGH INNOVATION IN REAL-TIME LANGUAGE TRANSLATIONS AND SUBTITLING
8.2.1.1 Voice-based content moderation
8.2.1.2 Automated news reading
8.2.1.3 Personalized audio advertising
8.2.1.4 AI-generated radio shows
8.2.1.5 Speech synthesis for audiobooks
8.2.1.6 Others
8.3 BFSI
8.3.1 OFFERING PERSONALIZED CUSTOMER EXPERIENCES WITH AI VOICE GENERATOR TECHNOLOGIES
8.3.1.1 Financial data audio transcription
8.3.1.2 Financial customer support & service
8.3.1.3 Voice-assisted fraud detection
8.3.1.4 Voice-activated financial transactions
8.3.1.5 Voice-enabled claims processing
8.3.1.6 Others
8.4 HEALTHCARE & LIFE SCIENCES
8.4.1 REVOLUTIONIZING DRUG DISCOVERY, MEDICAL IMAGING ANALYSIS, AND PERSONALIZED TREATMENT PLANS BY INTEGRATING AI VOICE GENERATORS IN HEALTHCARE & LIFE SCIENCES
8.4.1.1 Voice assistants for patients
8.4.1.2 Speech-activated medical devices
8.4.1.3 Medical dictation and transcription
8.4.1.4 AI-powered telemedicine consultations
8.4.1.5 Audio-based triage systems
8.4.1.6 Others
8.5 MANUFACTURING
8.5.1 TRANSFORMING QUALITY CONTROL IN MANUFACTURING BY ENABLING VOICE INSPECTION AND DEFECT DETECTION WITH AI VOICE GENERATORS
8.5.1.1 Acoustic quality control
8.5.1.2 Voice-enabled process optimization
8.5.1.3 AI monitoring and voice alerts
8.5.1.4 Audio-enhanced safety training
8.5.1.5 Audio inventory management
8.5.1.6 Others
8.6 RETAIL & E-COMMERCE
8.6.1 ENABLING AUDIO-BASED PRODUCT DESCRIPTION AND VOICE COMMERCE WITH GENERATIVE AI
8.6.1.1 Voice-based shopping assistants
8.6.1.2 Personalized audio ads
8.6.1.3 Audio product descriptions
8.6.1.4 Voice search optimization
8.6.1.5 Audio-controlled inventory management
8.6.1.6 Others
8.7 TRANSPORTATION & LOGISTICS
8.7.1 RISING NEED FOR EFFICIENCY, OPTIMIZATION, AND SUSTAINABILITY TO DRIVE GROWTH OF AI VOICE GENERATORS IN TRANSPORTATION & LOGISTICS
8.7.1.1 Emergency audio response and assistance
8.7.1.2 Voice-enabled navigation
8.7.1.3 Audio-based fleet management
8.7.1.4 Speech recognition for driver commands
8.7.1.5 Voice-controlled warehouse operations
8.7.1.6 Others
8.8 CONSTRUCTION & REAL ESTATE
8.8.1 REAL-TIME TRANSLATION CAPABILITIES CAN BRIDGE LANGUAGE BARRIERS IN MULTINATIONAL PROJECTS
8.8.1.1 Voice-assisted site monitoring
8.8.1.2 Voice-activated property tours
8.8.1.3 Voice-controlled building automation systems
8.8.1.4 Audio design consultations
8.8.1.5 Equipment maintenance audio alerts
8.8.1.6 Others
8.9 ENERGY & UTILITIES
8.9.1 GENERATIVE AI CAN MONITOR MACHINERY AND INFRASTRUCTURE, PROVIDING REAL-TIME ALERTS ABOUT PERFORMANCE ISSUES
8.9.1.1 Acoustic anomaly detection
8.9.1.2 Emergency response coordination
8.9.1.3 Voice-activated control systems
8.9.1.4 Voice-controlled smart grid systems
8.9.1.5 Predictive maintenance audio alerts
8.9.1.6 Others
8.10 GOVERNMENT & DEFENSE
8.10.1 AI VOICE GENERATORS CAN DETECT THREAT AND ENHANCE SURVEILLANCE
8.10.1.1 Audio deepfake detection
8.10.1.2 Speech recognition for surveillance
8.10.1.3 Public safety announcements
8.10.1.4 Audio forensics
8.10.1.5 Voice biometrics and authentication
8.10.1.6 Others
8.11 IT & ITES
8.11.1 GENERATIVE AI TO HELP IMPROVE CYBERSECURITY, MINIMIZE COSTS, AND ENHANCE USER EXPERIENCE
8.11.1.1 Automated voice response systems
8.11.1.2 AI-powered training programs
8.11.1.3 Voice authentication for IT systems
8.11.1.4 Voice-controlled IDE
8.11.1.5 Automated meeting transcriptions
8.11.1.6 Others
8.12 TELECOMMUNICATIONS
8.12.1 LEVERAGING ADVANCED NATURAL LANGUAGE PROCESSING (NLP) TO UNDERSTAND AND RESPOND TO CUSTOMER QUERIES
8.12.1.1 Real-time language translation
8.12.1.2 Language generation for IVR systems
8.12.1.3 Speech emotion recognition
8.12.1.4 Voice quality enhancement
8.12.1.5 Automated call summarization
8.12.1.6 Others
8.13 OTHER VERTICALS
9 AI VOICE GENERATOR MARKET, BY REGION
9.1 INTRODUCTION
9.2 NORTH AMERICA
9.2.1 NORTH AMERICA: AI VOICE GENERATOR MARKET DRIVERS
9.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
9.2.3 US
9.2.3.1 Supportive regulatory environment and robust technological infrastructure in US to drive market growth
9.2.4 CANADA
9.2.4.1 Improving business processes and attracting more customers with rapid adoption of AI voice generators
9.3 EUROPE
9.3.1 EUROPE: AI VOICE GENERATOR MARKET DRIVERS
9.3.2 EUROPE: MACROECONOMIC OUTLOOK
9.3.3 UK
9.3.3.1 Presence of world-class universities and research institutions, coupled with vibrant startup ecosystem, to foster collaboration and accelerate advancements in generative AI
9.3.4 GERMANY
9.3.4.1 Increasing investments in developing AI solutions and growing interest in potential of AI voice generators to boost market growth
9.3.5 FRANCE
9.3.5.1 Combination of technological innovation, government initiatives, and thriving AI ecosystem to promote AI development in France
9.3.6 ITALY
9.3.6.1 Government initiatives and cost-efficiency considerations to trigger market growth in Italy
9.3.7 SPAIN
9.3.7.1 Collaborations between academic institutions, research centers, and industry players to support advancement of AI technologies in Spain
9.3.8 FINLAND
9.3.8.1 Integration of AI voice generator applications into education sector to see growing demand in near future
9.3.9 REST OF EUROPE
9.4 ASIA PACIFIC
9.4.1 ASIA PACIFIC: AI VOICE GENERATOR MARKET DRIVERS
9.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
9.4.3 CHINA
9.4.3.1 Integration of LLMs into various industries in China to drive market growth
9.4.4 INDIA
9.4.4.1 With emerging tech industry and huge digital population, businesses in India turning to LLMs to develop AI applications
9.4.5 JAPAN
9.4.5.1 Growth of AI voice generator market in Japan attributed to rich cultural heritage and technologically advanced society
9.4.6 SOUTH KOREA
9.4.6.1 South Korea's strong focus on innovation and digital transformation to drive adoption of AI technologies
9.4.7 SINGAPORE
9.4.7.1 Singapore making progress in advancement of AI voice generators
9.4.8 AUSTRALIA & NEW ZEALAND
9.4.8.1 Australia & New Zealand to explore AI's potential more broadly
9.4.9 REST OF ASIA PACIFIC
9.5 MIDDLE EAST & AFRICA
9.5.1 MIDDLE EAST & AFRICA: AI VOICE GENERATOR MARKET DRIVERS
9.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
9.5.3 MIDDLE EAST
9.5.3.1 Saudi Arabia
9.5.3.1.1 Major investments by tech giants to bring AI revolution in Saudi Arabia
9.5.3.2 UAE
9.5.3.2.1 Corporate collaborations and strategic partnerships crucial in advancing AI voice generator market in UAE
9.5.3.3 Turkey
9.5.3.3.1 Robust telecommunications infrastructure and growing digital economy to provide conducive environment for adoption of AI
9.5.3.4 Qatar
9.5.3.4.1 Strategic investments in AI research and development to foster vibrant ecosystem for innovation in Qatar
9.5.3.5 Rest of Middle East
9.5.4 AFRICA
9.6 LATIN AMERICA
9.6.1 LATIN AMERICA: AI VOICE GENERATOR MARKET DRIVERS
9.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
9.6.3 BRAZIL
9.6.3.1 Technological advancements and surge in digital transformation to drive market growth in Brazil
9.6.4 MEXICO
9.6.4.1 Government and digital transformation initiatives to fuel adoption of advanced AI technologies in Mexico
9.6.5 ARGENTINA
9.6.5.1 Growing startup culture and government support to help growth of AI market in Argentina
9.6.6 REST OF LATIN AMERICA
10 COMPETITIVE LANDSCAPE
10.1 OVERVIEW
10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
10.3 REVENUE ANALYSIS
10.4 MARKET SHARE ANALYSIS
10.4.1 MARKET RANKING ANALYSIS
10.5 PRODUCT COMPARATIVE ANALYSIS
10.5.1 PRODUCT COMPARATIVE ANALYSIS, BY AUDIO & SPEECH SYNTHESIS
10.5.1.1 Amazon Polly (AWS)
10.5.1.2 Azure Speech AI (Microsoft)
10.5.1.3 Riva (NVIDIA)
10.5.1.4 Text-to-Speech AI (Google)
10.5.1.5 TTS (OpenAI)
10.5.2 PRODUCT COMPARATIVE ANALYSIS, BY VOICE CONVERSION & CLONING
10.5.2.1 Voice Cloning (Respeecher)
10.5.2.2 AI Voice Cloning (Speechify)
10.5.2.3 AI Voice Cloning (PlayHT)
10.5.2.4 AI Voice Cloning (Voice.ai)
10.5.2.5 AI Voice Cloning (ElevenLabs)
10.5.3 PRODUCT COMPARATIVE ANALYSIS, BY MUSIC GENERATION & COMPOSITION
10.5.3.1 AI Music Generator (Soundful)
10.5.3.2 Create Music (Soundraw)
10.5.3.3 AI Music Generator (Loudly)
10.5.3.4 AI Music Generation Assistant (AIVA Technologies)
10.5.3.5 Render (Mubert)
10.6 COMPANY VALUATION AND FINANCIAL METRICS
10.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
10.7.1 STARS
10.7.2 EMERGING LEADERS
10.7.3 PERVASIVE PLAYERS
10.7.4 PARTICIPANTS
10.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
10.7.5.1 Company Footprint
10.7.5.2 Region Footprint
10.7.5.3 Offering Footprint
10.7.5.4 Application Footprint
10.7.5.5 Vertical Footprint
10.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
