音声合成（TTS）の世界市場規模：製品別、オファリング別、用途別、地域範囲別、予測

音声合成（TTS）の市場規模と予測

音声合成（TTS）市場規模は、2024年に29億6,000万米ドルと評価され、2026～2032年にかけて15.50%のCAGRで成長し、2032年には93億6,000万米ドルに達すると予測されます。

音声合成（TTS）技術は、書かれたテキストを話し言葉に変換し、テキストベースのコンテンツをコンピュータが読み上げることを可能にします。

システムはまずテキストを分析し、個々の単語、文、段落に分解します。

言語モデルを使用してテキストの文脈と意味を理解し、自然な音声の生成に役立てる。

TTSは、よくある質問に答えたり、サポートを提供したりする自動化されたカスタマーサービスシステムの構築に使用できます。

音声合成技術は、医療生や専門家向けの言語学習ツールの作成にも利用でき、医療用語の学習や、異なる文化的背景を持つ患者との効果的なコミュニケーションに役立ちます。

世界の音声合成（TTS）市場力学

世界の音声合成（TTS）市場を形成している主要市場力学は以下の通りです。

主要市場促進要因

ヘルスケアセグメントにおける音声合成（TTS）ソリューションの応用拡大：ヘルスケアセグメントにおける音声合成（TTS）ソリューションの広範な応用は、特に医療教育と研究の効率を高める能力により、市場の普及を大きく促進しています。ヘルスケアでは、TTSは医療文献、研究紙製、患者データを音声形式に変換するために使用され、特にマルチタスクが必要な状況で、専門家がより簡単に情報を消費できるようにします。例えば、2023年2月、心肺蘇生（CPR）マネキンと救命技術を専門とするヘルスケアセグメントの著名なプロバイダであるレールダル・メディカル社は、Azure Text to Speechを含む人工知能と機械学習に投資する意向を発表しました。この取り組みは、2030年までに毎年100万人の命を救うという目標に貢献することを目的としています。

AIと機械学習の採用拡大：AIを搭載したTTSシステムは、人間のような発話パターン、トーン、イントネーションを模倣できるため、よりリアルで魅力的なインタラクションを実現できます。機械学習モデルは、データ入力から学習することで、時間の経過とともに継続的に改善され、さまざまな言語、アクセント、発話スタイルへの動的な調整を可能にします。この機能はカスタマーサービスなどの産業で特に価値が高く、AIを強化したTTSシステムはバーチャルアシスタントやチャットボットに使用され、より自然で会話に近いインタラクションを記載しています。メディアやエンターテインメントでは、AIを活用したTTSが自動ナレーション、オーディオブック、吹き替えを可能にしています。例えば、2024年2月6日、OpenAIは新しい音声合成（TTS）モデルを発表し、6つのプリセット音声から選択できるようになりました。

E-ラーニングと教育での利用拡大：EラーニングプラットフォームはTTSを活用し、さまざまな学習スタイルやニーズに対応する聴覚学習オプションを提供することで、ユーザー体験を向上させます。この統合は、特に視覚障害や読書困難な人々にとって、より良いエンゲージメントとアクセシビリティをサポートします。例えば、2023年12月11日、ReadSpeaker B.V.は、blackboard learn ultraの認定音声合成統合を発表し、数百万人以上のユーザーに機会を拡大しました。

多言語コンテンツの拡大：企業が国際的に事業を拡大するにつれ、世界の顧客ベースと効果的にコミュニケーションするために、多言語や方言に対応できるTTSシステムが必要とされています。多言語TTSシステムにより、企業は様々な言語で音声コンテンツを提供することで、ローカライズされた顧客体験を提供することができ、ユーザーのエンゲージメントと満足度を向上させることができます。これは、カスタマーサービス、eコマース、メディアなど、パーソナライズされた利用しやすいコミュニケーションが世界の視聴者を維持する鍵となる産業では特に重要です。例えば、音声AIソフトウェアの世界的リーダーであるイレブンラボ社は、2023年8月22日、約30の言語で「感情豊かな」AI音声を正確に生成できる新しい多言語音声生成モデルを発表しました。

主要課題

高い開発コスト：先進的TTSシステム、特にAIと機械学習を組み込んだシステムの開発には、研究開発、データ収集、技術統合に多額の投資が必要。

多言語サポートの複雑さ：複数の言語や方言を正確かつ自然に扱うTTSシステムの構築は複雑です。さまざまな言語的・文化的文脈に対応できる品質を確保するためには、膨大なトレーニングデータと洗練されたアルゴリズムが必要です。

データプライバシーとセキュリティの懸念：TTSシステムは、個人データや財務データを含む機密情報を処理することが多いため、データのプライバシーとセキュリティに関する懸念があります。強固な保護とGDPRのような規制へのコンプライアンスを確保することは難しい課題です。

音声の正確さと自然さ：TTS技術は進歩していますが、感情やイントネーションを含め、人間のような自然さを完全に模倣するレベルの音声合成を実現することは、依然として課題となっています。不正確な音声や不自然な音声は、ユーザーエクスペリエンスや受容性に影響を与える可能性があります。

主要動向

クラウドベースのソリューションの強化：クラウドベースのTTSサービスは、そのスケーラビリティ、統合の容易さ、費用対効果の高さから人気を集めています。これらのソリューションは柔軟性とアクセシビリティを提供するため、企業はインフラに多額の先行投資をすることなくTTS技術を導入できます。例えば、2022年6月17日、Picovoice Inc.はSpeech-to-Textエンジンを発表しました。開発者は、あらゆるニーズに対応し、クラウドに依存することなくプラットフォーム間で動作する音声認識技術を利用できます。

音声クローニングとカスタマイズ：音声クローニング技術の進歩により、特定の個人やブランドを忠実に模倣したカスタム合成音声の作成が可能になりつつあります。この動向は、パーソナライズされたユーザー体験やブランディングの目的で利用され、よりカスタマイズ型認識可能な音声インタラクションを記載しています。例えば、2024年6月4日、Synthesia Limitedは、先進的音声合成（TTS）と音声API技術の大手プロバイダであるElevenLabsとの提携を発表しました。

アクセシビリティの重視：視覚障害者や読書困難者を含む障害者のアクセシビリティを向上させるために、TTSを使用することがますます重視されています。TTSは、インクルーシブなデジタル環境や教育リソースを作成する上で重要なツールになりつつあります。

音声起動デバイスとの統合：スマートスピーカー、ウェアラブル、ホームオートメーションシステムなどの音声作動デバイスの普及が、TTS技術の需要を押し上げています。これらのデバイスは、自然言語処理によって音声応答を提供し、ユーザーとの対話を強化するためにTTSに依存しています。例えば、2024年3月11日、Deepgramは音声AIプラットフォーム、Deepgram Auraを発表しました。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主要調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 音声合成（TTS）ソフトウェア市場：製品別

• クラウドベース
• オンプレミス

第5章 音声合成（TTS）ソフトウェア市場：オファリング別

• ソフトウェア
• サービス

第6章 音声合成（TTS）ソフトウェア市場：用途別

• 商用ユーザー
• 個人ユーザー

第7章 地域別分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第8章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第9章 競合情勢

• 主要企業
• 市場シェア分析

第10章 企業プロファイル

• Amazon
• NaturalSoft
• WordTalk
• Panopreter
• Zabaware
• Linguatec
• ISpeech
• Acapela
• WellSource
• ReadSpeaker

第11章 市場展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第12章 付録

• 略語リスト
• 供給源と参考文献

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

Text-to-Speech (TTS) Market size was valued at USD 2.96 Billion in 2024 and is projected to reach USD 9.36 Billion by 2032, growing at a CAGR of 15.50% from 2026 to 2032.

Text-to-Speech (TTS) technology converts written text into spoken language, allowing computers to read aloud text-based content.

The system first analyzes the text, breaking it down into individual words, sentences, and paragraphs.

A language model is used to understand the context and meaning of the text, which helps in generating natural-sounding speech.

TTS can be used to create automated customer service systems that can answer frequently asked questions and provide support.

Text-to-speech technology can be used to create language learning tools for medical students and professionals, helping them to learn medical terminology and communicate effectively with patients from different cultural backgrounds.

Global Text-to-Speech (TTS) Market Dynamics

The key market dynamics that are shaping the global text-to-speech (TTS) market include:

Key Market Drivers

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.

TABLE OF CONTENTS

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