세계의 AI 기반 음성 합성 시장 : 컴포넌트, 음성 유형, 전개 모드, 용도, 최종사용자별 - 예측(2025-2030년)

The AI-Powered Speech Synthesis Market was valued at USD 3.40 billion in 2024 and is projected to grow to USD 4.04 billion in 2025, with a CAGR of 20.23%, reaching USD 10.27 billion by 2030.

AI-powered speech synthesis has rapidly transitioned from an experimental technology to a transformative force across diverse industries. As advancements in machine learning and deep neural networks continue to accelerate, the synthesis of lifelike and natural speech is redefining how content is generated, delivered, and consumed. This new generation of speech synthesis not only optimizes content creation, accessibility, and customer engagement but also offers a paradigm shift in human-machine communication.

The emergence of sophisticated text-to-speech solutions has enabled a more interactive and inclusive environment. Today's technology is capable of generating high quality, nuanced speech outputs that capture emotional intonations and accommodate various linguistic contexts. The evolution is driven by the convergence of increased computational power, extensive language datasets, and groundbreaking advancements in algorithm development.

In this dynamic landscape, traditional methods such as concatenative and formant synthesis are progressively supplemented by breakthroughs in neural text-to-speech (NTTS) and parametric speech synthesis. These advanced capabilities not only deliver enhanced realism and flexibility but also cater to a wide range of applications-from customer service automation to creating immersive experiences in gaming and multimedia production. This summary explores the transformative shifts in the industry, the detailed segmentation of the market, and the strategic insights vital for decision-makers and industry leaders seeking a competitive edge in this rapidly evolving field.

Transformative Shifts Redefining the Market Landscape

Advancements in AI have instigated profound changes in the speech synthesis industry. What was once a niche field is now at the forefront of technological innovation, driving significant shifts in how businesses approach content delivery and customer interaction. Recent developments in neural networks and deep learning have catalyzed a dramatic increase in voice quality, making synthesized speech indistinguishable from human delivery. This leap in quality is underpinned by robust algorithm models that can accurately capture intonation, accent, and emotional variation.

In parallel, the increasing demand for personalization has steered innovations to produce customizable voice solutions that adapt to individual user preferences. These developments have fostered a more tailored communication experience across sectors including healthcare, automotive, education, and entertainment. Notably, the transition from traditional rule-based speech systems to AI-driven models has markedly improved the scalability and efficiency of these solutions, thereby enabling organizations to deploy them rapidly in various settings.

There has also been a shift in deployment strategies. The advent of cloud-based infrastructures now offers flexibility, reduced costs, and enhanced integration with existing digital ecosystems compared to on-premise solutions. These technological strides are not just incremental improvements; they represent a fundamental reimagining of the speech synthesis product lifecycle-from research and development to end-user application and support. As the technology becomes more accessible and user-friendly, its market penetration is expected to deepen, transforming business models and opening doors for new revenue streams and operational efficiencies.

Key Market Segmentation Insights

The speech synthesis market is dissected through multiple segmentation lenses to better understand the drivers and potential of industry applications. Segmenting the market based on component reveals a dual structure where services and software are evaluated separately, highlighting the operational support and technical backbone integral to these solutions. Another segmentation based on voice type illustrates the range from concatenative and formant synthesis to modern neural text-to-speech (NTTS) and parametric synthesis, each contributing distinct advantages in terms of customization, realism, and efficiency.

Beyond the core technology, the market is also segmented by deployment mode, which differentiates solutions hosted on cloud-based platforms from those implemented on-premise. The cloud-based approach is appreciated for its agility and scalability, while the on-premise option offers enhanced control and security for sensitive applications. Furthermore, a segmentation analysis based on application areas reveals an array of uses, including accessibility solutions, assistive technologies, audiobook and podcast generation, content creation and dubbing, customer service and call centers, as well as immersive experiences in gaming, animation, virtual assistants, and voice cloning. Lastly, the market is dissected by end-user, spanning industries such as automotive, banking and financial services, education and e-learning, government and defense, healthcare, IT and telecom, media and entertainment, and retail and e-commerce. Each segmentation dimension provides nuanced insights towards addressing market challenges and opportunities, guiding strategic investments and targeted product developments.

Based on Component, market is studied across Services and Software.

Based on Voice Type, market is studied across Concatenative Speech Synthesis, Formant Synthesis, Neural Text-to-Speech (NTTS), and Parametric Speech Synthesis.

Based on Deployment Mode, market is studied across Cloud-Based and On-Premise.

Based on Application, market is studied across Accessibility Solutions, Assistive Technologies, Audiobook & Podcast Generation, Content Creation & Dubbing, Customer Service & Call Centers, Gaming & Animation, Virtual Assistants & Chatbots, and Voice Cloning.

Based on End-User, market is studied across Automotive, BFSI, Education & E-learning, Government & Defense, Healthcare, IT & Telecom, Media & Entertainment, and Retail & E-commerce.

Key Regional Insights Across Major Markets

Regional dynamics play a crucial role in shaping the adoption and evolution of AI-powered speech synthesis technologies. The Americas have emerged as a significant force, driven by robust technological infrastructure and early adoption of innovative digital solutions. In contrast, the combined region of Europe, Middle East, and Africa demonstrates a rich blend of regulatory maturity, diverse linguistic applications, and an increasing investment in R&D, which is accelerating the integration of advanced speech synthesis in both public and private sectors. Meanwhile, the Asia-Pacific region is experiencing rapid market growth, bolstered by high technology adoption rates, a burgeoning digital economy, and strong governmental support for AI innovation.

Each region presents its unique blend of challenges and opportunities. The Americas boast a competitive landscape where innovation is often first-to-market, while the Europe, Middle East, and Africa region offers a stable regulatory environment coupled with diversified market needs. Asia-Pacific stands out for its immense scale and the speed at which digital technologies permeate urban and rural ecosystems alike, creating an environment ripe for strategic partnerships and high-speed innovation. These regional insights offer valuable perspectives for navigating market complexities and harnessing growth opportunities tailored to local demands.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Company Perspectives Shaping the Future

Prominent companies in the field are continuously redefining the benchmarks of quality, innovation, and user experience in speech synthesis. Industry leaders such as Acapela Group SA, Acolad Group, and Altered, Inc. have set new standards with their groundbreaking approaches to voice technology. Giants like Amazon Web Services, Inc., Baidu, Inc., and Microsoft Corporation consistently push technological boundaries, while companies such as BeyondWords Inc., CereProc Limited, and Descript, Inc. are renowned for their specialized solutions tailored to niche market needs.

Further adding to this vibrant ecosystem, innovative players like Eleven Labs, Inc., and organizations such as International Business Machines Corporation, iSpeech, Inc., and IZEA Worldwide, Inc. bring deep expertise in AI that is coupled with strong research-oriented backgrounds. Industry specialists from LOVO Inc., MURF Group, Neuphonic, and Nuance Communications, Inc. are driving the evolution of voice synthesis through creative and technical excellence. Additionally, ReadSpeaker AB, Replica Studios Pty Ltd., Sonantic Ltd., and Synthesia Limited continue to expand applications, enabling new experiences in entertainment, accessibility, and speech cloning services. Companies like Verint Systems Inc., VocaliD, Inc., Voxygen S.A., and WellSaid Labs, Inc. further exemplify the diverse and competitive nature of the market, contributing to a landscape where collaboration and competition drive rapid innovation and provide customers with an unprecedented array of choices.

The report delves into recent significant developments in the AI-Powered Speech Synthesis Market, highlighting leading vendors and their innovative profiles. These include Acapela Group SA, Acolad Group, Altered, Inc., Amazon Web Services, Inc., Baidu, Inc., BeyondWords Inc., CereProc Limited, Descript, Inc., Eleven Labs, Inc., International Business Machines Corporation, iSpeech, Inc., IZEA Worldwide, Inc., LOVO Inc., Microsoft Corporation, MURF Group, Neuphonic, Nuance Communications, Inc., ReadSpeaker AB, Replica Studios Pty Ltd., Sonantic Ltd., Synthesia Limited, Verint Systems Inc., VocaliD, Inc., Voxygen S.A., and WellSaid Labs, Inc.. Actionable Recommendations for Industry Leaders

For industry leaders looking to harness the transformative potential of AI-powered speech synthesis, the roadmap is clear. Investing in research and development is paramount. Emphasis should be placed on continuous integration of cutting-edge neural network models and adaptive algorithms that not only refine voice generation but also offer contextual awareness and emotion detection capabilities. Leaders are encouraged to explore hybrid deployment models that leverage both cloud-based agility and on-premise security to meet diverse operational requirements.

It is recommended to form strategic alliances that encompass technological innovation, market visibility, and regulatory compliance. Embracing partnerships with tech innovators, academia, and research institutions will accelerate product development, reduce time-to-market, and provide a broader knowledge base. Leveraging deep segmentation insights, companies should tailor their offerings to meet vertical-specific requirements; be it automotive solutions, finance-centric applications, or specialized health care services. Proactive investment in localized solutions that account for linguistic and cultural diversity can create significant market differentiation.

Furthermore, establishing robust feedback loops with end-users is critical for iterative improvement. Leaders should implement comprehensive training frameworks for their teams to stay abreast of the latest technological advancements and best practices. Finally, a balanced focus on ethical considerations and regulatory frameworks will not only safeguard intellectual property and data privacy but also build lasting trust with users and regulators. A well-rounded strategy that integrates innovation, market-specific customization, and proactive risk management is the key to maintaining a competitive advantage in this rapidly evolving space.

Conclusion: Embracing the Future of Speech Synthesis

The landscape of AI-powered speech synthesis is marked by rapid evolution, technological breakthroughs, and an expansive range of applications that reach across sectors globally. By analyzing market segmentation, regional dynamics, and the strategies of leading companies, it becomes evident that the field is ripe with opportunities for innovation, growth, and enhanced user engagement. The shift from traditional synthesis methods to advanced neural networks represents not merely an upgrade in capability but a complete transformation in how digital voices interact with human users.

Innovation continues to drive the industry forward, ensuring more realistic, engaging, and contextually aware digital experiences. As stakeholders invest in research and development and forge strategic alliances, the broader goal remains to democratize access to state-of-the-art voice synthesis solutions that empower businesses and enrich consumer interactions. The future is one where technology and human factors converge seamlessly, paving the way for a new era of digital communication.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising adoption of AI-powered speech synthesis in healthcare and accessibility solutions
    • 5.1.1.2. Growing use of speech synthesis in entertainment and media production
  • 5.1.2. Restraints
    • 5.1.2.1. High computational resources required for training AI models
  • 5.1.3. Opportunities
    • 5.1.3.1. Advancements in deep learning and neural network architectures
    • 5.1.3.2. Development of customizable voices for personal branding and content creators
  • 5.1.4. Challenges
    • 5.1.4.1. Mitigating data privacy issues and security risks associated with synthetic voices
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Increasing usage of the software designed to accommodate the nuanced demands of various applications
  • 5.2.2. End-User: Rising applications of AI-powered speech synthesis across the education & e-learning sector
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. AI-Powered Speech Synthesis Market, by Component

• 6.1. Introduction
• 6.2. Services
• 6.3. Software

7. AI-Powered Speech Synthesis Market, by Voice Type

• 7.1. Introduction
• 7.2. Concatenative Speech Synthesis
• 7.3. Formant Synthesis
• 7.4. Neural Text-to-Speech (NTTS)
• 7.5. Parametric Speech Synthesis

8. AI-Powered Speech Synthesis Market, by Deployment Mode

• 8.1. Introduction
• 8.2. Cloud-Based
• 8.3. On-Premise

9. AI-Powered Speech Synthesis Market, by Application

• 9.1. Introduction
• 9.2. Accessibility Solutions
• 9.3. Assistive Technologies
• 9.4. Audiobook & Podcast Generation
• 9.5. Content Creation & Dubbing
• 9.6. Customer Service & Call Centers
• 9.7. Gaming & Animation
• 9.8. Virtual Assistants & Chatbots
• 9.9. Voice Cloning

10. AI-Powered Speech Synthesis Market, by End-User

• 10.1. Introduction
• 10.2. Automotive
• 10.3. BFSI
• 10.4. Education & E-learning
• 10.5. Government & Defense
• 10.6. Healthcare
• 10.7. IT & Telecom
• 10.8. Media & Entertainment
• 10.9. Retail & E-commerce

11. Americas AI-Powered Speech Synthesis Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific AI-Powered Speech Synthesis Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa AI-Powered Speech Synthesis Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2024
• 14.2. FPNV Positioning Matrix, 2024
• 14.3. Competitive Scenario Analysis
  • 14.3.1. Meesho revolutionizes eCommerce support with multilingual gen AI voice bot to slash costs and enhance efficiency
  • 14.3.2. Izea integrates advanced AI voice cloning and text-to-speech synthesis in FormAI to streamline influencer marketing, enhance creator-brand collaboration
  • 14.3.3. Acolad transforms content localization with advanced AI-powered speech synthesis delivering rapid, customizable dubbing and narration solutions
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Acapela Group SA
• 2. Acolad Group
• 3. Altered, Inc.
• 4. Amazon Web Services, Inc.
• 5. Baidu, Inc.
• 6. BeyondWords Inc.
• 7. CereProc Limited
• 8. Descript, Inc.
• 9. Eleven Labs, Inc.
• 10. International Business Machines Corporation
• 11. iSpeech, Inc.
• 12. IZEA Worldwide, Inc.
• 13. LOVO Inc.
• 14. Microsoft Corporation
• 15. MURF Group
• 16. Neuphonic
• 17. Nuance Communications, Inc.
• 18. ReadSpeaker AB
• 19. Replica Studios Pty Ltd.
• 20. Sonantic Ltd.
• 21. Synthesia Limited
• 22. Verint Systems Inc.
• 23. VocaliD, Inc.
• 24. Voxygen S.A.
• 25. WellSaid Labs, Inc.