세계의 AI 음성 생성기 시장 : 제공별, 기술별, 음성 유형별, 용도별, 최종사용자별, 지역별 - 예측(-2031년)

The AI voice generator market is anticipated to witness a compound annual growth rate (CAGR) of 30.7% over the forecast period, reaching USD 20.71 billion by 2031 from an estimated USD 4.16 billion in 2025. The market is accelerating as enterprises adopt dynamic prosody-control models that adjust speaking style, pacing, and emphasis automatically based on content type, improving user engagement in training, retail, and media workflows.

Growth is also driven by rising demand for automated compliance narration, where organizations use AI voices to deliver consistent disclosures across financial and healthcare processes. However, the limited availability of domain-specific acoustic datasets, especially for technical, medical, and legal vocabulary, slows accuracy improvements for specialized enterprise applications.

"API and developer tooling gain momentum as core growth engine in AI voice generator market"

APIs, SDKs, and developer tools are expected to witness significant demand because they have become the core enablers of scalable AI voice adoption across industries. Developers now prefer modular voice components that can be embedded directly into contact centers, creator platforms, mobile apps, and enterprise software without requiring full platform migration. This shift toward API-first architectures allows companies to plug voice synthesis, voice cloning, or real-time S2S features into existing workflows with minimal engineering effort. SDKs further accelerate integration by providing prebuilt libraries for Android, iOS, Unity, Unreal Engine, and web environments-making voice functionality accessible to gaming studios, AR/VR developers, and enterprise product teams. As vendors release low-latency endpoints, emotion controls, and multilingual capabilities through APIs, enterprises increasingly adopt usage-based models, creating recurring revenue streams for providers. These tools also enable rapid experimentation, letting businesses test voice features before committing to full-scale deployment. With demand rising for personalized, interactive, and multilingual audio experiences, API and SDK ecosystems are becoming the fastest-growing segment, helping vendors expand reach and developers build voice-enabled products quickly and cost-effectively.

"Rising demand for scalable audio automation drives content creation leadership in 2025"

The content creation segment is estimated to hold the largest market share in 2025, driven by the rapid adoption of AI voice tools across media, advertising, e-learning, and creator platforms. Enterprises and creators increasingly rely on synthetic narration, automated voiceovers, and multilingual dubbing to meet the rising demand for high-volume, fast-turnaround content. AI voice generators enable production teams to create consistent, natural-sounding audio at scale without the delays and costs associated with traditional recording. The growth of short-form video, podcasts, online courses, and global streaming platforms has further accelerated the need for flexible, expressive voices that can adapt to different formats, tones, and languages. Advanced speech models now support lifelike emotion, dynamic pacing, and accurate pronunciation across 40-100+ languages, making AI-generated audio suitable for localized campaigns and global audience engagement. As organizations prioritize speed, personalization, and efficient content pipelines, AI-driven content creation has become a foundational use case-positioning it as the strongest contributor to market growth in 2025.

"Asia Pacific to witness rapid AI voice generator demand fueled by innovation and evolving strategies, while North America leads in market size"

North America is estimated to hold the largest market share in 2025, supported by early enterprise adoption of neural and real-time voice technologies, a strong presence of leading AI providers, and the rapid integration of synthetic voices across media, entertainment, telecom, and customer engagement platforms. Large-scale deployments in OTT localization, automated call centers, programmatic audio, and enterprise training content continue to strengthen the region's dominance. Meanwhile, Asia Pacific is projected to grow at the highest CAGR during the forecast period as demand rises for multilingual and dialect-specific voice generation across India, Southeast Asia, and Japan. The region's fast-expanding OTT ecosystem, booming creator economy, and aggressive digital investments by telecom, BFSI, and e-learning companies are accelerating the adoption of AI voice tools. Lower production costs, mobile-first digital consumption, and the need for rapid content localization further support Asia Pacific's high growth trajectory. Together, these dynamics position North America as today's largest market while Asia Pacific emerges as the strongest long-term growth engine for AI voice generator solutions.

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 - 31%, Tier II - 42%, and Tier III - 27%
• By Designation: Directors - 29%, Managers - 44%, and others - 27%
• By Region: North America - 40%, Europe - 22%, Asia Pacific - 26%, Middle East & Africa - 5%, and Latin America - 7%

The report includes the study of key players offering AI voice generator solutions and services. The major players in the AI voice generator market include Google (US), Microsoft (US), IBM (US), AWS (US), Adobe (US), NVIDIA (US), Meta (US), OpenAI (US), ElevenLabs (US), Cisco (US), SoundHound (UK), AssemblyAI (UK), Freepik (US), Adobe (US), Deepdub (Israel), Voicemod (Spain), Murf AI (US), Speechify (US), Musico (Netherlands), Stability AI (UK), Descript (US), Runway (US), WellSaid Labs (US), Podcastle (US), Respeecher (Ukraine), Synthesia (UK), Soundful (US), AMAI (US), Camb.ai (UAE), PlayHT (US), Resemble AI (US), Lovo AI (US), AI Studios (US), Beatoven.AI (US), Aiva Technologies (Luxembourg), Beyondwords (UK), Picovoice (Canada), Soundraw (Japan), Dubverse (India), Listnr (US), and Simplified (US).

Research coverage

This research report covers the AI voice generator market, segmented by offering, voice type, technology, application, and end user. The offering segment is split into software and services. The software segment is further split into voice generator platforms and APIs, SDKs, & developer tools. The technology segment is split into neural text-to-speech (TTS) & speech synthesis, real-time speech-to-speech (S2S), generative diffusion models, edge-optimized & hybrid engines. The voice type segment includes natural voice and synthetic voice. The application segment is further split into content creation, voice modification, and interactive applications. The end user segment includes content creators & individual users, and enterprises (media & entertainment, BFSI, healthcare & life sciences, retail & e-commerce, education & e-learning, energy & utilities, government & defense, technology & software, telecommunications, and other enterprises). The regional analysis of the AI voice generator market covers North America, Europe, Asia Pacific, the Middle East & Africa (MEA), and Latin America.

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 to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (The increasing demand for voice-enabled devices and virtual assistants, Advancements in NLP and machine learning technologies are enhancing the capabilities of gen AI in audio and speech, Growing need for accessibility solutions in digital content), restraints (Lack of explainability in AI decision-making processes for audio generation, The high cost of developing and implementing advanced generative AI solutions is hindering market growth, Ethical concerns surrounding the use of AI-generated voices are leading to increased scrutiny), opportunities (The integration of gen AI with emerging technologies like 5G and edge computing can enable real-time audio and speech generation, The increasing demand for localized content and multilingual support in global markets offers growth potential for AI-powered translation and dubbing services, The growing market for personalized and emotionally intelligent AI assistants presents opportunities for advanced generative AI speech technologies), and challenges (Managing the computational requirements and energy consumption of large-scale generative AI models for audio & speech is becoming increasingly challenging, Misuse of generative AI audio technologies for fraud, misinformation, and other malicious activities, Achieving human-like naturalness and emotional expressiveness in AI-generated speech remains a significant technical challenge).

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 offerings of leading players like Google (US), Microsoft (US), IBM (US), AWS (US), Adobe (US), NVIDIA (US), Meta (US), OpenAI (US), ElevenLabs (US), Cisco (US), SoundHound (UK), AssemblyAI (UK), Freepik (US), Adobe (US), Deepdub (Israel), Voicemod (Spain), Murf AI (US), Speechify (US), Musico (Netherlands), Stability AI (UK), Descript (US), Runway (US), WellSaid Labs (US), Podcastle (US), Respeecher (Ukraine), Synthesia (UK), Soundful (US), AMAI (US), Camb.ai (UAE), PlayHT (US), Resemble AI (US), Lovo AI (US), AI Studios (US), Beatoven.AI (US), Aiva Technologies (Luxembourg), Beyondwords (UK), Picovoice (Canada), Soundraw (Japan), Dubverse (India), Listnr (US), and Simplified (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
• 1.6 SUMMARY OF CHANGES

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 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

• 3.1 KEY INSIGHTS AND MARKET HIGHLIGHTS
• 3.2 KEY MARKET PARTICIPANTS: INSIGHTS AND STRATEGIC DEVELOPMENTS
• 3.3 DISRUPTIVE TRENDS SHAPING MARKET
• 3.4 HIGH-GROWTH SEGMENTS AND EMERGING FRONTIERS
• 3.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST

4 PREMIUM INSIGHTS

• 4.1 RISE OF AI VOICE GENERATORS
• 4.2 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI VOICE GENERATOR MARKET
  • 4.2.1 EMERGING ENTERPRISE-CENTRIC OPPORTUNITIES: VERTICALIZED VOICE MODELS, COMPLIANCE TOOLS, AND DOMAIN INTELLIGENCE
  • 4.2.2 HIGH-GROWTH CREATIVE AND MEDIA OPPORTUNITIES: REAL-TIME LOCALIZATION, CHARACTER UNIVERSES, AND DYNAMIC AUDIO-AS-A-SERVICE
  • 4.2.3 INFRASTRUCTURE AND DEVELOPER ECOSYSTEM OPPORTUNITIES: PLUG-IN ECONOMIES, LOW-LATENCY EDGE MODELS, AND VOICE AGENTS WITH AUTONOMY
• 4.3 STRATEGIC IMPERATIVES FOR DECISION-MAKERS
  • 4.3.1 PRIORITIZING TRUSTED, TRACEABLE, AND RIGHTS-SAFE VOICE DEPLOYMENTS
  • 4.3.2 DESIGNING MULTILINGUAL, MULTI-PERSONA VOICE SYSTEMS FOR GLOBAL EXPERIENCE DELIVERY
  • 4.3.3 ORCHESTRATING VOICE AI WITH ENTERPRISE AUTOMATION, GEN AI, AND CUSTOMER-EXPERIENCE STACKS
• 4.4 OUTLOOK AND NEXT HORIZONS
  • 4.4.1 EXPANDING FROM TEXT-BOUND VOICES TO REAL-TIME, MULTIMODAL SPEECH EXPERIENCES
  • 4.4.2 MOVING TOWARD RESPONSIBLE VOICE ECOSYSTEMS WITH AUDITABILITY AND CONSENT INFRASTRUCTURE
  • 4.4.3 SHIFTING FROM STANDALONE VOICE MODELS TO INDUSTRY-TUNED VOICE INTELLIGENCE NETWORKS

5 MARKET OVERVIEW

• 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 UNMET NEEDS AND WHITE SPACES
  • 5.3.1 UNMET NEEDS IN AI VOICE GENERATOR MARKET
  • 5.3.2 WHITE-SPACE OPPORTUNITIES IN AI VOICE GENERATOR MARKET
• 5.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
  • 5.4.1 INTERCONNECTED MARKETS
  • 5.4.2 CROSS-SECTOR OPPORTUNITIES
• 5.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
  • 5.5.1 KEY MOVES AND STRATEGIC FOCUS

6 INDUSTRY TRENDS

• 6.1 PORTER'S FIVE FORCES ANALYSIS
  • 6.1.1 THREAT OF NEW ENTRANTS
  • 6.1.2 THREAT OF SUBSTITUTES
  • 6.1.3 BARGAINING POWER OF SUPPLIERS
  • 6.1.4 BARGAINING POWER OF BUYERS
  • 6.1.5 INTENSITY OF COMPETITIVE RIVALRY
• 6.2 SUPPLY CHAIN ANALYSIS
• 6.3 EVOLUTION OF AI VOICE GENERATORS
• 6.4 MACROECONOMIC OUTLOOK
  • 6.4.1 INTRODUCTION
  • 6.4.2 GDP TRENDS AND FORECAST
  • 6.4.3 TRENDS IN GLOBAL AI INDUSTRY
  • 6.4.4 TRENDS IN GLOBAL BIG DATA & ANALYTICS INDUSTRY
• 6.5 ECOSYSTEM ANALYSIS
  • 6.5.1 VOICE GENERATION PLATFORM PROVIDERS
  • 6.5.2 API, SDKS & DEVELOPER TOOL PROVIDERS
  • 6.5.3 TECHNOLOGY PROVIDERS
• 6.6 PRICING ANALYSIS
  • 6.6.1 AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYER, 2025
  • 6.6.2 AVERAGE SELLING PRICE OF APPLICATION, 2025
• 6.7 INVESTMENT AND FUNDING SCENARIO
• 6.8 CASE STUDY ANALYSIS
  • 6.8.1 VOXPOPME INTEGRATED ELEVENLABS AGENTS PLATFORM TO POWER HUMAN-LIKE AI MODERATORS
  • 6.8.2 CHARISMA.AI PARTNERED WITH RESEMBLE AI TO USE SYNTHETIC VOICE GENERATION TECHNOLOGY FOR CREATING EMOTIONALLY RICH, SCALABLE CHARACTER VOICES
  • 6.8.3 TRIPP COLLABORATED WITH WELLSAID LABS TO AUTOMATE MEDITATION CONTENT CREATION
  • 6.8.4 ALINEA IMPLEMENTED SPEECHIFY'S TEXT-TO-SPEECH API TO DELIVER PERSONALIZED, CONVERSATIONAL FINANCIAL LEARNING EXPERIENCES
  • 6.8.5 HUBSPOT ADOPTED DESCRIPT'S TEXT-BASED AUDIO EDITING PLATFORM TO STREAMLINE PODCAST PRODUCTION, ENABLING FASTER COLLABORATION, EDITING, AND PUBLISHING
• 6.9 KEY CONFERENCES AND EVENTS, 2025-2026
• 6.10 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS

7 STRATEGIC DISRUPTION: PATENTS, DIGITAL, AND AI ADOPTION

• 7.1 KEY TECHNOLOGIES
  • 7.1.1 NEURAL VOCODERS
  • 7.1.2 TEXT-TO-SPEECH (TTS) ARCHITECTURES
  • 7.1.3 ATTENTION MECHANISMS
  • 7.1.4 NATURAL LANGUAGE PROCESSING (NLP)
• 7.2 COMPLEMENTARY TECHNOLOGIES
  • 7.2.1 AUTOMATIC SPEECH RECOGNITION (ASR)
  • 7.2.2 EMOTION AI AND PROSODY MODELING
  • 7.2.3 CLOUD AND EDGE AI INFRASTRUCTURE
  • 7.2.4 VOICE CONVERSION AND ADAPTATION MODELS
• 7.3 ADJACENT TECHNOLOGIES
  • 7.3.1 SPEAKER DIARIZATION AND VOICE EMBEDDINGS
  • 7.3.2 BIOMETRIC VOICE AUTHENTICATION
  • 7.3.3 SPATIAL AND IMMERSIVE AUDIO (AR/VR)
• 7.4 PATENT ANALYSIS
  • 7.4.1 METHODOLOGY
  • 7.4.2 PATENTS FILED, BY DOCUMENT TYPE, 2016-2025
  • 7.4.3 INNOVATION AND PATENT APPLICATIONS
• 7.5 FUTURE APPLICATIONS

8 REGULATORY LANDSCAPE

• 8.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 8.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 8.1.2 REGULATIONS
    • 8.1.2.1 North America
      • 8.1.2.1.1 Executive Order 14110 on Safe, Secure, and Trustworthy AI (US)
      • 8.1.2.1.2 Artificial Intelligence and Data Act-AIDA (Canada)
    • 8.1.2.2 Europe
      • 8.1.2.2.1 Europe Artificial Intelligence Act (European Union)
      • 8.1.2.2.2 General Data Protection Regulation (European Union)
      • 8.1.2.2.3 Data Protection Act 2018 (UK)
      • 8.1.2.2.4 Federal Data Protection Act (Germany)
      • 8.1.2.2.5 French Data Protection Act (France)
      • 8.1.2.2.6 Personal Data Protection Code-Legislative Decree 196/2003 (Italy)
      • 8.1.2.2.7 Organic Law 3/2018 (Spain)
      • 8.1.2.2.8 UAVG and Public-Sector Algorithm Transparency (Netherlands)
    • 8.1.2.3 Asia Pacific
      • 8.1.2.3.1 Interim Measures for the Management of Generative AI Services (China)
      • 8.1.2.3.2 Digital Personal Data Protection Act, 2023 (India)
      • 8.1.2.3.3 Act on the Protection of Personal Information (Japan)
      • 8.1.2.3.4 Basic Act on Artificial Intelligence (South Korea)
      • 8.1.2.3.5 Personal Data Protection Act (Singapore)
    • 8.1.2.4 Middle East & Africa
      • 8.1.2.4.1 Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE)
      • 8.1.2.4.2 Personal Data Protection Law (KSA)
      • 8.1.2.4.3 Protection of Personal Information Act (South Africa)
      • 8.1.2.4.4 Personal Data Privacy Protection Law (Qatar)
      • 8.1.2.4.5 Law on the Protection of Personal Data No. 6698 (Turkey)
    • 8.1.2.5 Latin America
      • 8.1.2.5.1 General Data Protection Law - LGPD (Brazil)
      • 8.1.2.5.2 Federal Law on Protection of Personal Data Held by Private Parties (Mexico)
      • 8.1.2.5.3 Personal Data Protection Law No. 25,326 (Argentina)

9 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR

• 9.1 DECISION-MAKING PROCESS
  • 9.1.1 NEED IDENTIFICATION AND USE-CASE DEFINITION
  • 9.1.2 TECHNICAL FEASIBILITY AND COMPLIANCE ASSESSMENT
  • 9.1.3 VENDOR SHORTLISTING AND CAPABILITY COMPARISON
  • 9.1.4 COST-BENEFIT AND ROI EVALUATION
  • 9.1.5 PILOT IMPLEMENTATION AND PERFORMANCE VALIDATION
  • 9.1.6 FULL-SCALE DEPLOYMENT AND CHANGE MANAGEMENT
  • 9.1.7 CONTINUOUS OPTIMIZATION AND INNOVATION EXPANSION
• 9.2 BUYER STAKEHOLDERS AND BUYING EVALUATION CRITERIA
  • 9.2.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 9.2.2 BUYING CRITERIA
• 9.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES
• 9.4 UNMET NEEDS AMONG VARIOUS END USERS
• 9.5 MARKET PROFITABILITY

10 AI VOICE GENERATOR MARKET, BY OFFERING

• 10.1 INTRODUCTION
  • 10.1.1 OFFERING: AI VOICE GENERATOR MARKET DRIVERS
• 10.2 SOFTWARE
  • 10.2.1 VOICE GENERATOR PLATFORMS
    • 10.2.1.1 Voice generation platforms deliver end-to-end systems that standardize and scale enterprise-grade AI voice creation
  • 10.2.2 APIS, SDKS, AND DEVELOPER TOOLS
    • 10.2.2.1 APIs and developer tools extend AI voice capabilities into applications, enabling programmable, real-time, and scalable integrations
• 10.3 SERVICES
  • 10.3.1 PROFESSIONAL SERVICES
    • 10.3.1.1 Professional services guide enterprises in designing, deploying, and optimizing AI voice workflows for maximum value
    • 10.3.1.2 Training & consulting services
    • 10.3.1.3 System integration & implementation services
    • 10.3.1.4 Support & maintenance services
  • 10.3.2 MANAGED SERVICES
    • 10.3.2.1 Managed services provide complete lifecycle oversight for enterprises seeking scalable, low-risk AI voice operations

11 AI VOICE GENERATOR MARKET, BY TECHNOLOGY

• 11.1 INTRODUCTION
  • 11.1.1 TECHNOLOGY: AI VOICE GENERATOR MARKET DRIVERS
• 11.2 NEURAL TEXT-TO-SPEECH (TTS) ENGINES & SPEECH SYNTHESIS
  • 11.2.1 NEURAL TTS TO DRIVE ENTERPRISE ADOPTION BY DELIVERING NATURAL, EXPRESSIVE, AND SECURE SYNTHETIC SPEECH AT SCALE
• 11.3 REAL-TIME SPEECH-TO-SPEECH (S2S)
  • 11.3.1 REAL-TIME S2S TO UNLOCK INSTANT MULTILINGUAL AND IDENTITY-CONTROLLED COMMUNICATION FOR HIGH-PERFORMANCE ENTERPRISE USE CASES
• 11.4 GENERATIVE DIFFUSION MODELS
  • 11.4.1 DIFFUSION MODELS REDEFINE CREATIVE VOICE GENERATION THROUGH HIGHLY EXPRESSIVE, LONG-FORM, AND EMOTION-RICH SPEECH SYNTHESIS
• 11.5 EDGE-OPTIMIZED & HYBRID ENGINES
  • 11.5.1 EDGE AND HYBRID ENGINES ENABLE ULTRA-LOW-LATENCY, PRIVACY-FIRST VOICE AI DEPLOYMENTS ACROSS REGULATED AND REAL-TIME ENVIRONMENTS

12 AI VOICE GENERATOR MARKET, BY VOICE TYPE

• 12.1 INTRODUCTION
  • 12.1.1 VOICE TYPE: AI VOICE GENERATOR MARKET DRIVERS
• 12.2 NATURAL VOICE
  • 12.2.1 NATURAL VOICE STRENGTHENS TRUST AND EMOTIONAL AUTHENTICITY IN APPLICATIONS WHERE HUMAN CREDIBILITY IS ESSENTIAL
• 12.3 SYNTHETIC VOICE
  • 12.3.1 SYNTHETIC VOICE TO DRIVE SCALABLE, CUSTOMIZABLE, AND REAL-TIME VOICE AUTOMATION ACROSS HIGH-VOLUME ENTERPRISE APPLICATIONS

13 AI VOICE GENERATOR MARKET, BY APPLICATION

• 13.1 INTRODUCTION
  • 13.1.1 APPLICATION: AI VOICE GENERATOR MARKET DRIVERS
• 13.2 CONTENT CREATION
  • 13.2.1 NARRATION & VOICEOVERS
    • 13.2.1.1 AI-powered narration to accelerate content production by enabling fast, expressive, and scalable voiceover workflow
  • 13.2.2 AUDIO/SPEECH SYNTHESIS
    • 13.2.2.1 Speech synthesis to drive efficient, high-quality audio production
  • 13.2.3 AUDIOBOOKS
    • 13.2.3.1 AI-generated audiobooks to accelerate long-form content production by delivering consistent, expressive, and multilingual narration
  • 13.2.4 MARKETING/AD CREATION
    • 13.2.4.1 AI-driven voiceovers to enable rapid, personalized, and globally scalable marketing content creation
  • 13.2.5 OTHER CONTENT CREATION APPLICATIONS
• 13.3 VOICE MODIFICATION
  • 13.3.1 VOICE CLONING
    • 13.3.1.1 Voice cloning to enable personalized, brand-owned voice identities while advancing secure and consent-driven voice replication
  • 13.3.2 DUBBING & LOCALIZATION
    • 13.3.2.1 AI-powered dubbing to accelerate global content reach
  • 13.3.3 ACCENT & TONE ENHANCEMENT
    • 13.3.3.1 Accent and tone enhancement to strengthen communication clarity by delivering neutral, audience-optimized voice quality
  • 13.3.4 SOUND EFFECTS INTEGRATION
    • 13.3.4.1 AI-driven sound effects integration to enhance engagement by creating immersive, context-aware audio
  • 13.3.5 OTHER VOICE MODIFICATION APPLICATIONS
• 13.4 INTERACTIVE APPLICATIONS
  • 13.4.1 VIRTUAL ASSISTANTS & IVR
    • 13.4.1.1 AI-generated voices to elevate virtual assistants by delivering natural, context-aware, and emotionally adaptive user interactions
  • 13.4.2 CUSTOMER SERVICE AGENTS & CALL CENTERS
    • 13.4.2.1 AI voice agents to streamline customer service by delivering consistent, empathetic, and multilingual call experiences
  • 13.4.3 GAMING NPCS & IN-GAME VOICES
    • 13.4.3.1 AI-generated NPC voices to enhance gameplay immersion through scalable, expressive, and adaptive character dialog
  • 13.4.4 AR/VR EXPERIENCES
    • 13.4.4.1 AI-powered speech to enhances AR/VR immersion by delivering adaptive, lifelike, and context-aware voice interactions
  • 13.4.5 OTHER INTERACTIVE APPLICATIONS

14 AI VOICE GENERATOR MARKET, BY END USER

• 14.1 INTRODUCTION
  • 14.1.1 END USER: AI VOICE GENERATOR MARKET DRIVERS
• 14.2 CONTENT CREATORS & INDIVIDUAL USERS
• 14.3 ENTERPRISES
  • 14.3.1 MEDIA & ENTERTAINMENT
    • 14.3.1.1 Media scales global content through high-fidelity voice localization and rapid, studio-integrated production
  • 14.3.2 BFSI
    • 14.3.2.1 BFSI modernizes customer engagement through secure, compliance-ready voice automation and traceable delivery
  • 14.3.3 HEALTHCARE & LIFE SCIENCES
    • 14.3.3.1 Healthcare improves patient engagement through HIPAA-aligned, empathetic voice automation and clinical documentation support
  • 14.3.4 RETAIL & E-COMMERCE
    • 14.3.4.1 Retail drives personalization and conversion through context-aware voice assistants and scalable promotional voice generation
  • 14.3.5 ENERGY & UTILITIES
    • 14.3.5.1 Energy utilities enhance operations and customer outreach via resilient, low-latency voice notifications and field guidance
  • 14.3.6 GOVERNMENT & DEFENSE
    • 14.3.6.1 Governments improve citizen services through secure, sovereign, and multilingual voice automation
  • 14.3.7 TECHNOLOGY & SOFTWARE
    • 14.3.7.1 Tech firms accelerate product value through developer-friendly voice APIs, composable SDKs, and white-label integration
  • 14.3.8 TELECOMMUNICATIONS
    • 14.3.8.1 Telcos enable scalable, low-latency voice services via edge distribution and integrated enterprise bundles
  • 14.3.9 OTHER ENTERPRISES

15 AI VOICE GENERATOR MARKET, BY REGION

• 15.1 INTRODUCTION
• 15.2 NORTH AMERICA
  • 15.2.1 NORTH AMERICA: AI VOICE GENERATOR MARKET DRIVERS
  • 15.2.2 US
    • 15.2.2.1 Tech-giant innovations, compliance-focused regulations, and high enterprise automation demand to drive market
  • 15.2.3 CANADA
    • 15.2.3.1 Bilingual content needs, ethical AI regulation, and government-backed digital transformation to increase AI voice generator deployment
• 15.3 EUROPE
  • 15.3.1 EUROPE: AI VOICE GENERATOR MARKET DRIVERS
  • 15.3.2 UK
    • 15.3.2.1 Regulated innovation, sector-wide automation, and strong investment in public sector digital services to drive market
  • 15.3.3 GERMANY
    • 15.3.3.1 Industrial digitization, privacy-centric regulation, and multilingual content automation to boost market
  • 15.3.4 FRANCE
    • 15.3.4.1 Strong cultural localization needs, sovereign AI investment, and media-driven demand to drive market
  • 15.3.5 REST OF EUROPE
• 15.4 ASIA PACIFIC
  • 15.4.1 ASIA PACIFIC: AI VOICE GENERATOR MARKET DRIVERS
  • 15.4.2 CHINA
    • 15.4.2.1 Domestic cloud integration, dialect coverage, and sovereign deployment mandates to drive market
  • 15.4.3 INDIA
    • 15.4.3.1 Vernacular scale, low-resource modeling, and public-sector localization programs to drive market
  • 15.4.4 JAPAN
    • 15.4.4.1 Focus on premium, low-latency voice AI integration into consumer electronics, automotive, and creative industries to drive market
  • 15.4.5 REST OF ASIA PACIFIC
• 15.5 MIDDLE EAST & AFRICA
  • 15.5.1 MIDDLE EAST & AFRICA: AI VOICE GENERATOR MARKET DRIVERS
  • 15.5.2 SAUDI ARABIA
    • 15.5.2.1 Digital modernization efforts and public-sector transformation programs to drive market
  • 15.5.3 UAE
    • 15.5.3.1 Multilingual services, telecom partnerships, and smart-city integrations to boost market
  • 15.5.4 SOUTH AFRICA
    • 15.5.4.1 Multilingual outreach, BFSI modernization, and social-impact deployments to drive market
  • 15.5.5 REST OF MIDDLE EAST & AFRICA
• 15.6 LATIN AMERICA
  • 15.6.1 LATIN AMERICA: AI VOICE GENERATOR MARKET DRIVERS
  • 15.6.2 BRAZIL
    • 15.6.2.1 Portuguese localization, LGPD-driven compliance, and media-sector demand to drive market
  • 15.6.3 MEXICO
    • 15.6.3.1 Nearshore integration, Spanish dialect fidelity, and contact-center modernization to drive market
  • 15.6.4 REST OF LATIN AMERICA

16 COMPETITIVE LANDSCAPE

• 16.1 OVERVIEW
• 16.2 KEY PLAYER STRATEGIES, 2020-2025
• 16.3 REVENUE ANALYSIS, 2020-2024
• 16.4 MARKET SHARE ANALYSIS, 2024
  • 16.4.1 MARKET RANKING ANALYSIS, 2024
• 16.5 PRODUCT COMPARATIVE ANALYSIS
  • 16.5.1 PRODUCT COMPARATIVE ANALYSIS, BY SPEECH SYNTHESIS
    • 16.5.1.1 AWS (Amazon Polly)
    • 16.5.1.2 Microsoft (Azure Speech)
    • 16.5.1.3 NVIDIA (Riva)
    • 16.5.1.4 Google (Text-to-Speech)
    • 16.5.1.5 OpenAI (GPT)
  • 16.5.2 PRODUCT COMPARATIVE ANALYSIS, BY VOICE MODIFICATION
    • 16.5.2.1 Respeecher (Platform)
    • 16.5.2.2 Speechify (Speechify API)
    • 16.5.2.3 ElevenLabs (ElevenLabs API)
    • 16.5.2.4 WellSaid Labs (WellSaid API)
    • 16.5.2.5 Play.AI (Play.ht)
  • 16.5.3 PRODUCT COMPARATIVE ANALYSIS, BY CONTENT CREATION
    • 16.5.3.1 Soundful (Soundful API)
    • 16.5.3.2 Soundraw (API)
    • 16.5.3.3 Loudly
    • 16.5.3.4 Aiva Technologies (Aiva)
    • 16.5.3.5 Mubert (API)
• 16.6 COMPANY EVALUATION MATRIX: KEY PLAYERS
  • 16.6.1 STARS
  • 16.6.2 EMERGING LEADERS
  • 16.6.3 PERVASIVE PLAYERS
  • 16.6.4 PARTICIPANTS
  • 16.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 16.6.5.1 Company footprint
    • 16.6.5.2 Regional footprint
    • 16.6.5.3 Offering footprint
    • 16.6.5.4 Application footprint
    • 16.6.5.5 Technology footprint
    • 16.6.5.6 End User footprint
• 16.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES
  • 16.7.1 PROGRESSIVE COMPANIES
  • 16.7.2 RESPONSIVE COMPANIES
  • 16.7.3 DYNAMIC COMPANIES
  • 16.7.4 STARTING BLOCKS
  • 16.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 16.7.5.1 Detailed list of key startups/SMEs
    • 16.7.5.2 Competitive Benchmarking of Key Startups/SMEs
• 16.8 COMPANY VALUATION AND FINANCIAL METRICS
• 16.9 COMPETITIVE SCENARIO
  • 16.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 16.9.2 DEALS

17 COMPANY PROFILES

• 17.1 INTRODUCTION
• 17.2 KEY PLAYERS
  • 17.2.1 IBM
    • 17.2.1.1 Business overview
    • 17.2.1.2 Products/Solutions/Services offered
    • 17.2.1.3 Recent developments
      • 17.2.1.3.1 Product launches and enhancements
      • 17.2.1.3.2 Deals
    • 17.2.1.4 MnM view
      • 17.2.1.4.1 Key strengths
      • 17.2.1.4.2 Strategic choices
      • 17.2.1.4.3 Weaknesses and competitive threats
  • 17.2.2 NVIDIA
    • 17.2.2.1 Business overview
    • 17.2.2.2 Products/Solutions/Services offered
    • 17.2.2.3 Recent developments
      • 17.2.2.3.1 Product launches and enhancements
      • 17.2.2.3.2 Deals
    • 17.2.2.4 MnM view
      • 17.2.2.4.1 Key strengths
      • 17.2.2.4.2 Strategic choices
      • 17.2.2.4.3 Weaknesses and competitive threats
  • 17.2.3 META
    • 17.2.3.1 Business overview
    • 17.2.3.2 Products/Solutions/Services offered
    • 17.2.3.3 Recent developments
      • 17.2.3.3.1 Product launches and enhancements
      • 17.2.3.3.2 Deals
    • 17.2.3.4 MnM view
      • 17.2.3.4.1 Key strengths
      • 17.2.3.4.2 Strategic choices
      • 17.2.3.4.3 Weaknesses and competitive threats
  • 17.2.4 MICROSOFT
    • 17.2.4.1 Business overview
    • 17.2.4.2 Products/Solutions/Services offered
    • 17.2.4.3 Recent developments
      • 17.2.4.3.1 Product launches and enhancements
      • 17.2.4.3.2 Deals
    • 17.2.4.4 MnM view
      • 17.2.4.4.1 Key strengths
      • 17.2.4.4.2 Strategic choices
      • 17.2.4.4.3 Weaknesses and competitive threats
  • 17.2.5 GOOGLE
    • 17.2.5.1 Business overview
    • 17.2.5.2 Products/Solutions/Services offered
    • 17.2.5.3 Recent developments
      • 17.2.5.3.1 Product launches and enhancements
      • 17.2.5.3.2 Deals
    • 17.2.5.4 MnM view
      • 17.2.5.4.1 Key strengths
      • 17.2.5.4.2 Strategic choices
      • 17.2.5.4.3 Weaknesses and competitive threats
  • 17.2.6 OPENAI
    • 17.2.6.1 Business overview
    • 17.2.6.2 Products/Solutions/Services offered
    • 17.2.6.3 Recent developments
      • 17.2.6.3.1 Product launches and enhancements
      • 17.2.6.3.2 Deals
  • 17.2.7 AWS
    • 17.2.7.1 Business overview
    • 17.2.7.2 Products/Solutions/Services offered
    • 17.2.7.3 Recent developments
      • 17.2.7.3.1 Product launches and enhancements
      • 17.2.7.3.2 Deals
  • 17.2.8 CISCO
    • 17.2.8.1 Business overview
    • 17.2.8.2 Products/Solutions/Services offered
    • 17.2.8.3 Recent developments
      • 17.2.8.3.1 Product launches and enhancements
      • 17.2.8.3.2 Deals
  • 17.2.9 SOUNDHOUND AI
    • 17.2.9.1 Business overview
    • 17.2.9.2 Products/Solutions/Services offered
    • 17.2.9.3 Recent developments
      • 17.2.9.3.1 Product launches and enhancements
      • 17.2.9.3.2 Deals
  • 17.2.10 ELEVENLABS
    • 17.2.10.1 Business overview
    • 17.2.10.2 Products/Solutions/Services offered
    • 17.2.10.3 Recent developments
      • 17.2.10.3.1 Product launches and enhancements
      • 17.2.10.3.2 Deals
  • 17.2.11 WELLSAID
    • 17.2.11.1 Business overview
    • 17.2.11.2 Products/Solutions/Services offered
    • 17.2.11.3 Recent developments
      • 17.2.11.3.1 Product launches and enhancements
      • 17.2.11.3.2 Deals
  • 17.2.12 SPEECHIFY
  • 17.2.13 SYNTHESIA
  • 17.2.14 STABILITY AI
  • 17.2.15 RUNWAY
  • 17.2.16 MUSICO
  • 17.2.17 DESCRIPT
  • 17.2.18 DEEPDUB
  • 17.2.19 ADOBE
• 17.3 STARTUP/SME PROFILES
  • 17.3.1 PLAYHT
  • 17.3.2 RESEMBLE AI
  • 17.3.3 AMAI
  • 17.3.4 AIVA TECHNOLOGIES
  • 17.3.5 DUBVERSE
  • 17.3.6 RESPEECHER
  • 17.3.7 BEYONDWORDS
  • 17.3.8 VOICEMOD
  • 17.3.9 REPLICA STUDIOS
  • 17.3.10 SIMPLIFIED
  • 17.3.11 MURF AI
  • 17.3.12 LISTNR AI
  • 17.3.13 DEEPBRAIN AI
  • 17.3.14 CAMB.AI
  • 17.3.15 PODCASTLE
  • 17.3.16 LOVO AI
  • 17.3.17 SOUNDFUL
  • 17.3.18 SOUNDRAW
  • 17.3.19 BEATOVEN.AI
  • 17.3.20 ASSEMBLYAI
  • 17.3.21 PICOVOICE
  • 17.3.22 FREEPIK

18 ADJACENT AND RELATED MARKETS

• 18.1 INTRODUCTION
• 18.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2032
  • 18.2.1 MARKET DEFINITION
  • 18.2.2 MARKET OVERVIEW
    • 18.2.2.1 Generative AI market, by offering
    • 18.2.2.2 Generative AI market, by data modality
    • 18.2.2.3 Generative AI market, by application
    • 18.2.2.4 Generative AI market, by end user
    • 18.2.2.5 Generative AI market, by region
• 18.3 DEEPFAKE AI MARKET - GLOBAL FORECAST TO 2031
  • 18.3.1 MARKET DEFINITION
  • 18.3.2 MARKET OVERVIEW
    • 18.3.2.1 Deepfake AI market, by offering
    • 18.3.2.2 Deepfake AI market, by technology
    • 18.3.2.3 Deepfake AI market, by vertical
    • 18.3.2.4 Deepfake AI market, by region

19 APPENDIX

• 19.1 DISCUSSION GUIDE
• 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 19.3 CUSTOMIZATION OPTIONS
• 19.4 RELATED REPORTS
• 19.5 AUTHOR DETAILS