TTS(Text-to-Speech) : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the text-to-Speech market size is expected to grow from USD 3.87 billion in 2025 to USD 4.36 billion in 2026 and is forecast to reach USD 7.92 billion by 2031 at 12.66% CAGR over 2026-2031.

This report is Segmented by Component (Software and Services), Deployment Mode (Cloud-Based, On-Premise, and Edge Embedded), Voice Type (Neural/AI-based, Standard Concatenative, and Hybrid), Application (Consumer Media and Entertainment, E-Learning and Education, Customer Service, and More), Language (English, Spanish, Hindi, Chinese, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Text-to-Speech Market Trends and Insights

Proliferation of voice-enabled devices and smart speakers

Smart-speaker OEMs increasingly embed large language models that depend on natural-sounding output to regain shipment momentum after the Q1 2023 downturn. Amazon's Alexa Teacher Model and Baidu's ERNIE-powered assistants illustrate how compelling voices raise device engagement. Carmakers also benefit; Renault's Reno companion uses emotive TTS to enrich in-vehicle interaction, highlighting growth in non-consumer electronics verticals. Edge-optimized models now power IoT sensors, thermostats, and wearables that must speak locally for privacy and uptime. Vendors able to compress neural voices without audible degradation are capturing new device design-wins.

Rapid improvements in neural TTS delivering near-human quality

Neural architectures allow prosody, pacing, and emotion to be modelled rather than concatenated, lifting naturalness in 20+ languages simultaneously. NICT's 21-language system showed that quality does not have to fall when scale rises, while Microsoft's February 2025 roll-out of 14 new HD voices, led by Indian characters Aarti and Arjun, underscores the commercial pivot toward culturally aware speech. Latency has dropped to real-time for most cloud APIs, letting brands deploy conversational support and interactive media without perceptible lag. As a result, neural speech is now the default specification in procurement cycles for call-center automation and streaming content dubbing.

Rising voice-cloning/deep-fake misuse eroding user trust

The US Federal Trade Commission spotlighted cloning risks through its Voice Cloning Challenge, emphasising fraud scenarios that undermine biometric security. OpenAI's ability to replicate a voice from a 15-second sample and research showing 95-97% attack success against speaker-ID systems highlight the technological gap between generation and detection. Legislative proposals such as the NO FAKES Act and Tennessee's ELVIS Act foreshadow compliance costs for vendors that lack consent-verification pipelines, nudging enterprises toward providers with robust provenance controls.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion of e-learning and digital content consumption
2. Mandates for digital accessibility (Section 508, WCAG)
3. Data-privacy concerns in cloud-based TTS

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

Segment Analysis

Software maintained 75.72% share in 2025 as core engines and APIs underpin most deployments within the Text-to-Speech market. Nevertheless, services revenue is scaling at 13.04% CAGR as enterprises seek custom voices and multilingual roll-outs that demand phonetic tuning, cultural vetting, and ongoing quality assurance. These services often bundle usage analytics, helping clients track listener engagement and refine scripts. Outsourcing also mitigates the scarcity of in-house computational linguists, making specialised vendors indispensable.

The pivot toward service-led contracts illustrates a maturation point in the Text-to-Speech industry where differentiation moves from "does it talk" to "does it sound like us." Custom voice projects encompass brand-tone workshops, accent calibration, and iterative neural-model retraining. Providers able to package these offerings with compliance tooling for consent and accessibility are capturing long-tail expansion budgets even among organisations that already licence generic TTS APIs.

Cloud delivery still contributed 63.35% of the Text-to-Speech market share in 2025 due to near-instant provisioning and frequent model updates. Edge-embedded deployments, however, are advancing at 14.12% CAGR, reflecting a structural pivot toward data sovereignty and real-time reliability. Automotive use cases typify the shift: in-cabin assistants must respond even when cellular coverage drops and must not send biometric audio off-board without consent.

Smaller models such as Nix-TTS demonstrate that high-fidelity speech can run on single-board computers, broadening applicability to smart appliances and medical instruments. Semiconductor vendors now ship neural-network inference accelerators that maintain under-100-millisecond latency, eliminating the perception gap between device and human conversation. For enterprises with intermittent connectivity or regulated data, the edge path offers compliance without sacrificing quality.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment Mode
  • Cloud-Based
  • On-Premise
  • Edge Embedded
• By Voice Type
  • Neural/AI-based
  • Standard Concatenative
  • Hybrid
• By Application
  • Consumer Media and Entertainment
  • E-Learning and Education
  • Accessibility for Visually Impaired
  • Customer Service/IVR
  • Automotive and Transportation
  • Healthcare Assistive
  • Robotics and IoT
  • Other Applications
• By Language
  • English
  • Chinese
  • Spanish
  • Hindi
  • German
  • French
  • Turkish
  • Other Languages
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia and New Zealand
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America anchored 36.78% of the Text-to-Speech market in 2025, propelled by Section 508 procurement filters that make voice output a checklist item for all federal-facing software.US-based cloud hyperscalers bundle TTS alongside broader AI suites, lowering entry barriers for startups to add speech. Meanwhile, privacy debates and FTC scrutiny of voice cloning push enterprises toward providers with transparent consent workflows. Venture-backed innovators cluster around Californian AI hubs, accelerating feature cadence and patent filings.

Asia-Pacific is on course for a 14.86% CAGR, the swiftest regional pace in the Text-to-Speech market, thanks to smartphone saturation and consumer comfort with voice as the primary input. China's AI stimulus funds and India's Digital Public Infrastructure projects require large-scale vernacular support, driving bulk API consumption. Korean and Japanese OEMs integrate neural voices into cars and smart-TVs, while Southeast Asian developers work with public-sector research labs to fill language-model gaps. The regional blueprint increasingly emphasises on-device speech due to patchy connectivity across rural districts and sovereignty laws over biometric data.

Europe continues steady adoption underpinned by GDPR and national accessibility statutes. Automotive suppliers in Germany embed local speech processing to meet in-vehicle safety mandates, and broadcasters in France and Spain invest in localisation to address multilingual audiences. Preference for on-premise deployment is higher than in other regions, reflecting cultural caution toward cloud storage of voice logs. Regulatory probes into AI transparency are likely to shape pan-EU technical standards that spill over into export markets.

1. Amazon Web Services, Inc. (Amazon Polly)
2. Google LLC (Cloud TTS)
3. Microsoft Corporation (Azure Cognitive Services)
4. IBM Corporation (Watson TTS)
5. iFlytek Co., Ltd.
6. Baidu, Inc.
7. Nuance Communications (Microsoft)
8. ReadSpeaker B.V.
9. Acapela Group
10. CereProc Ltd.
11. NeoSpeech Inc.
12. Lovo Inc.
13. Murf AI
14. WellSaid Labs
15. Speechify Inc.
16. Synthesys.io
17. Veritone Inc.
18. Sensory Inc.
19. Descript Inc.
20. SoundHound AI, Inc. (Houndify)

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Proliferation of voice-enabled devices and smart speakers
  • 4.2.2 Rapid improvements in neural TTS delivering near-human quality
  • 4.2.3 Expansion of e-learning and digital content consumption
  • 4.2.4 Mandates for digital accessibility (Section 508, WCAG)
  • 4.2.5 Edge-AI accelerators enabling offline TTS in embedded IoT
  • 4.2.6 Synthetic-voice IP licensing unlocking new revenue streams
• 4.3 Market Restraints
  • 4.3.1 Accuracy limitations for tonal and low-resource languages
  • 4.3.2 Data-privacy concerns in cloud-based TTS
  • 4.3.3 Rising voice-cloning/deep-fake misuse eroding user trust
  • 4.3.4 Escalating GPU compute costs for smaller vendors
• 4.4 Industry Ecosystem Analysis
• 4.5 Technological Outlook
• 4.6 Porter's Five Forces Analysis
  • 4.6.1 Bargaining Power of Buyers
  • 4.6.2 Bargaining Power of Suppliers
  • 4.6.3 Threat of New Entrants
  • 4.6.4 Threat of Substitutes
  • 4.6.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud-Based
  • 5.2.2 On-Premise
  • 5.2.3 Edge Embedded
• 5.3 By Voice Type
  • 5.3.1 Neural/AI-based
  • 5.3.2 Standard Concatenative
  • 5.3.3 Hybrid
• 5.4 By Application
  • 5.4.1 Consumer Media and Entertainment
  • 5.4.2 E-Learning and Education
  • 5.4.3 Accessibility for Visually Impaired
  • 5.4.4 Customer Service/IVR
  • 5.4.5 Automotive and Transportation
  • 5.4.6 Healthcare Assistive
  • 5.4.7 Robotics and IoT
  • 5.4.8 Other Applications
• 5.5 By Language
  • 5.5.1 English
  • 5.5.2 Chinese
  • 5.5.3 Spanish
  • 5.5.4 Hindi
  • 5.5.5 German
  • 5.5.6 French
  • 5.5.7 Turkish
  • 5.5.8 Other Languages
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia and New Zealand
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Turkey
      • 5.6.5.1.4 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Amazon Web Services, Inc. (Amazon Polly)
  • 6.4.2 Google LLC (Cloud TTS)
  • 6.4.3 Microsoft Corporation (Azure Cognitive Services)
  • 6.4.4 IBM Corporation (Watson TTS)
  • 6.4.5 iFlytek Co., Ltd.
  • 6.4.6 Baidu, Inc.
  • 6.4.7 Nuance Communications (Microsoft)
  • 6.4.8 ReadSpeaker B.V.
  • 6.4.9 Acapela Group
  • 6.4.10 CereProc Ltd.
  • 6.4.11 NeoSpeech Inc.
  • 6.4.12 Lovo Inc.
  • 6.4.13 Murf AI
  • 6.4.14 WellSaid Labs
  • 6.4.15 Speechify Inc.
  • 6.4.16 Synthesys.io
  • 6.4.17 Veritone Inc.
  • 6.4.18 Sensory Inc.
  • 6.4.19 Descript Inc.
  • 6.4.20 SoundHound AI, Inc. (Houndify)

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment