首页 > 市场调查报告书 > 通讯

市场调查报告书

商品编码

1739539

全球文字转语音 (TTS) 市场规模（按产品、供应、应用、区域覆盖）预测（至 2025 年）

Global Text-to-Speech (TTS) Market Size By Product (Clouds-Based, On-Premise), Offering (Software, Services), Application (Commercial Users, Private Users), By Geographic Scope And Forecast

出版日期: 2025年05月09日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格

简介目录

文字转语音（TTS）的市场规模与预测

文字转语音 (TTS) 市场规模预计在 2024 年达到 29.6 亿美元，到 2032 年将达到 93.6 亿美元，在 2026-2032 年预测期内的复合年增长率为 15.50%。

文字转语音 (TTS) 技术将书面文字转换为口语，使电脑能够大声朗读基于文字的内容。

系统首先分析文字并将其分解为单字、句子和段落。

它使用语言模型来理解文本的上下文和含义，并帮助产生自然的语音。

TTS 可用于建立自动化客户服务系统，回答常见问题并提供支援。

语音合成技术还可以用于为医学生和专业人士创建语言学习工具，帮助他们学习医学术语并与来自不同文化背景的患者进行有效沟通。

全球文字转语音 (TTS) 市场动态

影响全球文字转语音 (TTS) 市场的关键市场动态是：

关键市场驱动因素

文字转语音 (TTS) 解决方案在医疗保健领域的应用不断扩展：文字转语音 (TTS) 解决方案在医疗保健领域的广泛应用，正极大地推动市场渗透，尤其得益于其能够提升医学教育和研究的效率。在医疗保健领域，TTS 用于将医学文献、研究论文和患者数据转换为音讯格式，使专业人员更容易获取信息，尤其是在需要多任务处理的情况下。例如，2023 年 2 月，专注于心肺復苏术 (CPR) 人体模型和救生技术的医疗保健领域知名供应商 Laerdal Medical 宣布，其计划投资人工智慧和机器学习，包括 Azure 文字转语音 (TTS)。该计划旨在为实现 2030 年每年挽救 100 万人生命的目标做出贡献。

人工智慧和机器学习的广泛应用：人工智慧驱动的 TTS 系统可以模仿人类的语音模式、语调和语调，从而实现更逼真、更引人入胜的互动。机器学习模型透过从资料输入中学习不断改进，可以动态调整以适应不同的语言、口音和说话风格。这种能力在客户服务等行业尤其有价值，在这些行业中，人工智慧增强型 TTS 系统用于虚拟助理和聊天机器人，以描述更自然的对话互动。在媒体和娱乐领域，人工智慧驱动的 TTS 可以实现自动叙述、有声读物和画外音。例如，2024 年 2 月 6 日，OpenAI 宣布了一种新的文字转语音 (TTS) 模型，有六种预设声音可供选择。

扩大在数位学习和教育领域的应用：电子学习平台利用 TTS 提供符合不同学习风格和需求的听觉学习选项，进而提升使用者体验。这项整合功能可提高参与度和可近性，尤其适用于视障人士和阅读障碍人士。例如，2023 年 12 月 11 日，ReadSpeaker BV 宣布为 Blackboard Learn Ultra 提供经过认证的文字转语音集成，为数百万用户带来更多机会。

扩展多语言内容：随着企业国际化扩张，他们需要能够处理多种语言和方言的 TTS 系统，以便与全球客户群有效沟通。多语言 TTS 系统使企业能够提供多种语言的语音内容，进而打造在地化的客户体验，提升用户参与度与满意度。这在客户服务、电子商务和媒体等行业尤其重要，因为个人化和便利的沟通是留住全球受众的关键。例如，全球领先的语音 AI 软体公司 Eleven Labs 于 2023 年 8 月 22 日宣布推出全新的多语言语音产生模型，该模型能够以大约 30 种语言准确地产生「情绪丰富」的 AI 语音。

主要问题

开发成本高：开发先进的 TTS 系统，尤其是结合人工智慧和机器学习的系统，需要在研发、资料收集和技术整合方面投入大量资金。

多语言支援的复杂性：建立一个能够准确、自然地处理多种语言和方言的 TTS 系统非常复杂，需要大量的训练资料和复杂的演算法来确保在各种语言和文化背景下的品质。

资料隐私和安全性问题：TTS 系统通常处理敏感资讯，包括个人资料和财务数据，这引发了人们对资料隐私和安全的担忧。确保强有力的保护并遵守 GDPR 等法规是一项挑战。

语音准确性和自然度：儘管 TTS 技术取得了长足进步，但要实现完美模仿人类自然语音（包括情绪和语调）的语音合成水平仍然是一项挑战。不准确或不自然的语音会影响使用者体验和接受度。

主要趋势

赋能云端基础解决方案：云端基础TTS 服务因其可扩展性、易于整合和经济高效而日益普及。这些解决方案提供灵活性和可访问性，使企业无需在基础设施上进行大量前期投资即可部署 TTS 技术。例如，Picovoice Inc. 于 2022 年 6 月 17 日推出了其语音转文字引擎。开发者现在可以利用语音辨识技术，该技术可满足任何需求，并且无需依赖云端平台即可跨平台运行。

语音克隆与客製化：语音克隆技术的进步使得创建与特定个人和品牌高度相似的客製化合成语音成为可能。这一趋势正被用于个人化用户体验和品牌推广，从而实现更具客製化和可识别性的语音互动。例如，2024年6月4日，Synthesia Limited宣布与领先的文字转语音 (TTS) 和语音API技术供应商ElevenLabs建立合作伙伴关係。

注重无障碍：人们越来越重视使用 TTS 来改善残障人士视觉障碍者（包括盲人或印刷障碍者）的无障碍体验。 TTS 正在成为创造包容性数位环境和教育资源的关键工具。

与声控设备整合：智慧音箱、穿戴式装置和智慧家居系统等声控设备的普及，推动了对 TTS 技术的需求。这些设备依靠 TTS 透过自然语言处理提供语音回应，并增强用户互动。例如，Deepgram 于 2024 年 3 月 11 日推出了其语音 AI 平台 Deepgram Aura。

Growing Application of Text-To-Speech (TTS) Solutions in Healthcare Sector: The broad application of text-to-speech (TTS) solutions in healthcare is significantly fueling market adoption, particularly due to its ability to enhance medical education and research efficiencies. In healthcare, TTS is used to convert medical literature, research papers, and patient data into audible formats, allowing professionals to consume information more easily, especially in situations where multitasking is necessary. For instance, in February 2023, Laerdal Medical, a prominent provider in the healthcare sector specializing in cardiopulmonary resuscitation (CPR) manikins and lifesaving technologies, announced its intention to invest in artificial intelligence and machine learning, including Azure Text to Speech. This initiative aims to contribute to the goal of saving 1 million lives each year by 2030.

Growing Adoption of AI and Machine Learning: AI-powered TTS systems can mimic human-like speech patterns, tone, and intonation, resulting in more realistic and engaging interactions. Machine learning models continuously improve over time by learning from data inputs, which allows for dynamic adjustments to different languages, accents, and speech styles. This capability is especially valuable in industries such as customer service, where AI-enhanced TTS systems are used in virtual assistants and chatbots to provide more natural and conversational interactions. In media and entertainment, AI-driven TTS is enabling automated narration, audiobooks, and voice-overs. For instance, on 06 February 2024, OpenAI announced a new text-to-speech (TTS) model that offers 6 preset voices to choose from, in their standard format as well as their respective high-definition (HD) equivalents.

Growing Use in E-Learning and Education: E-learning platforms leverage TTS to enhance the user experience by providing auditory learning options that cater to different learning styles and needs. This integration supports better engagement and accessibility, particularly for individuals with visual impairments or reading difficulties. For instance, 11 December, 2023, ReadSpeaker B.V. announced certified text-to-speech integration for blackboard learn ultra, expanding opportunity for over millions of users.

Expansion of Multilingual Content: As companies expand their operations internationally, they need TTS systems capable of handling multiple languages and dialects to effectively communicate with their global customer base. Multilingual TTS systems enable businesses to offer localized customer experiences by providing spoken content in various languages, thus improving user engagement and satisfaction. This is particularly important in industries such as customer service, e-commerce, and media, where personalized and accessible communication is key to retaining a global audience. For instance, on 22 August 2023, ElevenLabs, the world-leader in voice AI software, launched a new multilingual voice generation model capable of accurately producing 'emotionally rich' AI audio in nearly 30 languages.

Key Challenges:

High Development Costs: Developing advanced TTS systems, especially those incorporating AI and machine learning, involves substantial investment in research and development, data collection, and technology integration.

Complexity of Multilingual Support: Creating TTS systems that accurately and naturally handle multiple languages and dialects is complex. It requires extensive training data and sophisticated algorithms to ensure quality across different linguistic and cultural contexts.

Data Privacy and Security Concerns: As TTS systems often process sensitive information, including personal and financial data, there are concerns regarding data privacy and security. Ensuring robust protection and compliance with regulations like GDPR can be challenging.

Accuracy and Naturalness of Speech: While TTS technology has advanced, achieving a level of speech synthesis that fully mimics human-like naturalness, including emotion and intonation, remains a challenge. Inaccurate or unnatural speech can affect user experience and acceptance.

Key Trends

Enhanced Cloud-Based Solutions: Cloud-based TTS services are gaining traction due to their scalability, ease of integration, and cost-effectiveness. These solutions offer flexibility and accessibility, allowing businesses to implement TTS technology without significant upfront investment in infrastructure. For instance, on 17 June 2022, Picovoice Inc. announced its Speech-to-Text engines. The developers have access to voice recognition technology for all needs and that works across platforms without relying on the cloud.

Voice Cloning and Customization: Advances in voice cloning technology are enabling the creation of custom synthetic voices that closely mimic specific individuals or brands. This trend is being used for personalized user experiences and branding purposes, offering more tailored and recognizable voice interactions. For instance, on 04 June 2024, Synthesia Limited announced our partnership with ElevenLabs, a leading provider of advanced text-to-speech (TTS) and voice API technology.

Focus on Accessibility: There is an increasing emphasis on using TTS to improve accessibility for individuals with disabilities, including those with visual impairments or reading difficulties. TTS is becoming a critical tool in creating inclusive digital environments and educational resources.

Integration with Voice-Activated Devices: The proliferation of voice-activated devices such as smart speakers, wearables, and home automation systems is boosting the demand for TTS technology. These devices rely on TTS to provide spoken responses and enhance user interaction through natural language processing. For instance, on 11 March 2024, Deepgram launched Voice AI Platform, Deepgram Aura-the first text-to-speech model built for responsive, conversational AI agents and applications.

Global Text-to-Speech (TTS) Market Regional Analysis

Here is a more detailed regional analysis of the global text-to-speech (TTS) market:

North America

North America is substantially dominating the Global Text-to-Speech (TTS) Market and is expected to continue its dominance throughout the forecast period.

The expansion of E-learning platforms in North America, particularly in the USA and Canada, is driven by a significant proportion of tech-smart individuals. This trend presents a market opportunity, as the incorporation of TTS solutions into E-learning platforms enables educators to enhance the productivity of learning sessions through audio-based content. This approach aids learners in boosting engagement and effectively acquiring new skills.

For instance, in February 2023, Duolingo, an American language-learning application, collaborated with Microsoft to leverage artificial intelligence (AI) for improving the learner experience through innovative Text-to-speech solutions. This partnership resulted in the development of distinctive text-to-speech voices, thereby enhancing engagement in lessons, and highlighting the significant market potential of TTS solutions within the North American market.

Audiobooks can be produced efficiently and economically through the utilization of text-to-speech solutions. TTS enables publishers to transform written books into audio format without relying on a human narrator, resulting in significant time and cost savings. This approach maintains a listening experience for consumers and presents a market opportunity in North America, bolstered by the growth of audiobooks in the USA.

Europe

Europe is anticipated to be the fastest-growing region in the Global Text-to-Speech (TTS) Market during the forecast period.

Europe is home to a diverse range of languages, making it a lucrative market for text-to-speech technology. The ability to provide accurate and natural-sounding speech in multiple languages is essential for businesses operating in the region.

Europe has a strong focus on technological innovation, leading to advancements in text-to-speech technology. This includes the development of more natural-sounding voices and improved language support.

For instance, on 12 April 2021, Microsoft acquired clinical voice-to-text company Nuance Communications for $19.7B, two years after first inking an R&D partnership with the speech-to-text market leader.

Global Text-to-Speech (TTS) Market: Segmentation Analysis

The Global Text-to-Speech (TTS) Market is segmented based on Product, Offering, Application, And Geography.

Text-to-Speech (TTS) Market, By Product

Clouds-Based
On-Premise

Based on Product, the Global Text-to-Speech (TTS) Market is bifurcated into Clouds-Based, On-Premise. The cloud-based segment is expected to experience dominance throughout the forecast period, driven by the rising adoption of SaaS applications among businesses. Organizations find cloud-based TTS systems attractive due to their scalability, ease of implementation, and cost-effectiveness. The demand for cloud-based TTS deployment is anticipated to increase at a faster rate compared to on-premise systems, primarily due to the advantages of flexibility and lower maintenance costs associated with cloud infrastructure. The on-premises segment to grow at a robust CAGR during the forecast period.

Text-to-Speech (TTS) Market, By Offering

Software
Services

Based on Offering, the Global Text-to-Speech (TTS) Market is bifurcated into Software, Services. The Agrochemical segment is dominating the Global Text-to-Speech (TTS) Market growth. The advancements in NLP and machine learning algorithms have notably enhanced the quality and naturalness of synthesized speech, thereby increasing the appeal of TTS technology for a range of applications. The emergence of cloud-based TTS solutions has streamlined the integration of speech synthesis capabilities into products and services for businesses, eliminating the necessity for intricate infrastructure or substantial initial investment. The services segment market is experiencing rapid growth due to several factors.

Text-to-Speech (TTS) Market, By Application

Commercial Users
Private Users

Based on Application, the Global Text-To-Speech Market is bifurcated into Commercial Users, Private Users. The Commercial Users segment is currently dominating the global text-to-speech market. This is due to the extensive use of TTS technology in various commercial applications, such as customer service, education, and entertainment. Businesses of all sizes, from small startups to large corporations, are adopting TTS solutions to improve their operations and provide better customer experiences. TTS solutions help businesses create more inclusive products and services by making them accessible to people with disabilities. TTS can automate tasks, reducing the need for human labor and improving operational efficiency. The private users segment is expected to grow rapidly during the forecast period.

Text-to-Speech (TTS) Market, By Geography

North America
Europe
Asia Pacific
Rest of the world

Based on Geography, the Global Text-to-Speech (TTS) Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is substantially dominating the Global Text-to-Speech (TTS) Market and is expected to continue its dominance throughout the forecast period The expansion of E-learning platforms in North America, particularly in the USA and Canada, is driven by a significant proportion of tech-smart individuals. This trend presents a market opportunity, as the incorporation of TTS solutions into E-learning platforms enables educators to enhance the productivity of learning sessions through audio-based content. This approach aids learners in boosting engagement and effectively acquiring new skills. Europe is anticipated to be the fastest-growing region in the Global Text-to-Speech (TTS) Market during the forecast period.

Key Players

The "Global Text-to-Speech (TTS) Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Amazon, NaturalSoft, WordTalk, Panopreter, Zabaware, Linguatec, ISpeech, Acapela., WellSource, and ReadSpeaker.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Text-to-Speech (TTS) Market Key Developments

In July 2023, Artifact, a personalized news application, announced its intention to enhance user experience by introducing an AI-driven text-to-speech feature in collaboration with Speechify. This development will enable users to listen to news articles being read aloud. Furthermore, it would provide a voice that resembles robotic speech and allows for customization through the selection of various accents and audio speeds.
In May 2023, Microsoft Corporation unveiled VALL-E, a novel approach to text-to-speech synthesis capable of replicating any voice after just 3 seconds of audio input. This technology has potential applications across various sectors, including entertainment and customer service, aimed at enhancing engagement and personalization in user experiences. The enhancement of the company's text-to-speech capabilities is poised to bolster the market throughout the forecast period.

1. INTRODUCTION

Market Definition
Market Segmentation
Research Methodology

2. Executive Summary

Key Findings
Market Overview
Market Highlights

3. Market Overview

Market Size and Growth Potential
Market Trends
Market Drivers
Market Restraints
Market Opportunities
Porter's Five Forces Analysis

4. Text to Speech (TTS) Software Market, By Product

Clouds-Based
On-Premise

5. Text to Speech (TTS) Software Market, By Offering

Software
Services

6. Text to Speech (TTS) Software Market, By Application

Commercial Users
Private Users

7. Regional Analysis

North America
United States
Canada
Mexico
Europe
United Kingdom
Germany
France
Italy
Asia-Pacific
China
Japan
India
Australia
Latin America
Brazil
Argentina
Chile
Middle East and Africa
South Africa
Saudi Arabia
UAE

8. Market Dynamics

Market Drivers
Market Restraints
Market Opportunities
Impact of COVID-19 on the Market

9. Competitive Landscape

Key Players
Market Share Analysis

10. Company Profiles

Amazon
NaturalSoft
WordTalk
Panopreter
Zabaware
Linguatec
ISpeech
Acapela
WellSource
ReadSpeaker

11. Market Outlook and Opportunities

Emerging Technologies
Future Market Trends
Investment Opportunities

12. Appendix

List of Abbreviations
Sources and References

02-2729-4219

+886-2-2729-4219

License/价格

全球文字转语音 (TTS) 市场规模（按产品、供应、应用、区域覆盖）预测（至 2025 年）

Global Text-to-Speech (TTS) Market Size By Product (Clouds-Based, On-Premise), Offering (Software, Services), Application (Commercial Users, Private Users), By Geographic Scope And Forecast

文字转语音（TTS）的市场规模与预测

全球文字转语音 (TTS) 市场动态

关键市场驱动因素

目录

第一章 引言

第二章执行摘要

第三章市场概述

第 4 章。文字转语音 (TTS) 软体市场（按产品）

5. 文字转语音 (TTS) 软体市场（依产品）

第六章 文字转语音 (TTS) 软体市场（按应用）

第七章区域分析

第八章市场动态

第九章 竞争态势

第十章 公司简介

第十一章 市场展望与机会

第十二章 附录

Text-to-Speech (TTS) Market Size and Forecast

Global Text-to-Speech (TTS) Market Dynamics

Key Market Drivers