세계의 AI 음성 생성기 시장 : 제품 유형, 기술, 제공 서비스, 업계별, 전개 모델, 용도, 통합 예측(2025-2030년)

The AI Voice Generator Market was valued at USD 2.41 billion in 2023, expected to reach USD 3.14 billion in 2024, and is projected to grow at a CAGR of 32.80%, to USD 17.63 billion by 2030.

As a Market Research Analyst at 360iResearch focusing on AI Voice Generators, it's imperative to dive into the vast scope and precise definition of this technology. AI voice generators are advanced software tools leveraging artificial intelligence to mimic human voices, offering lifelike audio renditions across applications. The necessity of AI voice generators is underscored by their diverse applications, including customer service, entertainment, accessibility, and content creation. The end-use scope ranges from businesses seeking efficient communication solutions to content creators needing quick and engaging audio outputs. Key growth influencers include advancements in machine learning, increased demand for personalized user experiences, and the proliferation of smart devices that integrate voice features. Latest potential opportunities present themselves in niche markets, such as localized content creation tailored to diverse language demographics, and the entertainment industry, where realistic voice-overs are increasingly valuable. However, significant challenges such as concerns over data privacy, ethical considerations surrounding deepfakes, and regional regulations on digital voices may hinder rapid growth. The market is ripe for innovation in areas such as improved emotional expressiveness and multi-lingual support, offering businesses a competitive edge. Voice biometrics, as a security layer over AI-generated voices, also presents a promising field for research. The market nature is dynamic, characterized by rapid technological evolution while concurrently being moderated by regulatory scrutiny. Companies looking to leverage AI voice generators should focus on compliant practices, ensuring ethical use and data protection. Furthermore, recommendations include fostering partnerships with tech developers, investing in user-centric designs, and exploring adaptive learning models to keep pace with changes in user demands and technological advancements. Addressing these components holistically will enable effective entry and sustainability in this fast-evolving landscape.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving AI Voice Generator Market

The AI Voice Generator Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Growing demand for smart assistants and IoT devices
  • Rising popularity of audiobooks and podcasts worldwide
  • Advancements in natural language processing (NLP) and machine learning (ML) technologies
• Market Restraints
  • Issues related to cultural norms and ethical concerns
• Market Opportunities
  • Integration with emerging technologies and applications
  • Enhancements in healthcare and accessibility solutions
• Market Challenges
  • Challenges associated with technical complexity and quality

Porter's Five Forces: A Strategic Tool for Navigating the AI Voice Generator Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the AI Voice Generator Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the AI Voice Generator Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the AI Voice Generator Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the AI Voice Generator Market

A detailed market share analysis in the AI Voice Generator Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the AI Voice Generator Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the AI Voice Generator Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the AI Voice Generator Market

A strategic analysis of the AI Voice Generator Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the AI Voice Generator Market, highlighting leading vendors and their innovative profiles. These include Acapela Group, Amazon Web Services, Inc., Applause App Quality, Inc., Beyond Voice, CereProc Ltd.(acquired by Capacity), Descript, Inc., Google LLC, IBM Crop, LOVO, Inc., Microsoft Corporation, MURF Group, Naturalsoft Ltd., NextUp Technologies, LLC, Nine Thirty Five LLC., OpenAI, PlayHT, REPLICA STUDIOS, INC., ResponsiveVoice.JS, Synthesia Limited., VOXYGEN, WellSaid, Inc., and WOORD a Klazify Inc..

Market Segmentation & Coverage

This research report categorizes the AI Voice Generator Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Product Type, market is studied across Text-to-Speech (TTS) and Voice Cloning.
• Based on Technology, market is studied across Deep Learning, Machine Learning, Natural Language Processing (NLP), Neural Networks, and Speech Synthesis.
• Based on Offering, market is studied across Services and Software. The Services is further studied across Managed Services and Professional Services. The Professional Services is further studied across Support & Maintenance Services, System Integration & Implementation Services, and Training & Consulting Services. The Software is further studied across Autoencoders, Deep Learning Models, Generative Adversarial Networks (GANs), and Transformer Models. The Autoencoders is further studied across Denoising Autoencoders and Variational Autoencoders (VAEs). The Deep Learning Models is further studied across Convolutional Neural Networks, Gated Recurrent Units (GRUs), Long Short-Term Memory (LSTM) Networks, and Recurrent Neural Networks. The Generative Adversarial Networks (GANs) is further studied across Speech GANs and Wave GANs. The Transformer Models is further studied across HuBERT (Hidden-Unit BERT), Speech-Transformer, SpeechBERT, Tacotron, Wav2Vec, and WaveNet.
• Based on Industry Vertical, market is studied across Banking, Financial Services And Insurance (BFSI), Education, Entertainment & Gaming, Healthcare, Retail and E-commerce, and Telecommunications.
• Based on Deployment Model, market is studied across Cloud-Based and On-Premises. The Cloud-Based is further studied across Hybrid Cloud, Private Cloud, and Public Cloud.
• Based on Application, market is studied across Chatbots, Content Creation, Customer Service, Gaming, Language Translation, and Virtual Assistants.
• Based on Integration, market is studied across Integrated Solutions and Standalone Solutions.
• 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.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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. Growing demand for smart assistants and IoT devices
    • 5.1.1.2. Rising popularity of audiobooks and podcasts worldwide
    • 5.1.1.3. Advancements in natural language processing (NLP) and machine learning (ML) technologies
  • 5.1.2. Restraints
    • 5.1.2.1. Issues related to cultural norms and ethical concerns
  • 5.1.3. Opportunities
    • 5.1.3.1. Integration with emerging technologies and applications
    • 5.1.3.2. Enhancements in healthcare and accessibility solutions
  • 5.1.4. Challenges
    • 5.1.4.1. Challenges associated with technical complexity and quality
• 5.2. Market Segmentation Analysis
  • 5.2.1. Unveiling the future of AI voice generators: TTS and voice cloning technologies enhancing accessibility and entertainment
  • 5.2.2. Application: Increasing utilization of virtual assistants for personalize user experiences
• 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 Voice Generator Market, by Product Type

• 6.1. Introduction
• 6.2. Text-to-Speech (TTS)
• 6.3. Voice Cloning

7. AI Voice Generator Market, by Technology

• 7.1. Introduction
• 7.2. Deep Learning
• 7.3. Machine Learning
• 7.4. Natural Language Processing (NLP)
• 7.5. Neural Networks
• 7.6. Speech Synthesis

8. AI Voice Generator Market, by Offering

• 8.1. Introduction
• 8.2. Services
  • 8.2.1. Managed Services
  • 8.2.2. Professional Services
    • 8.2.2.1. Support & Maintenance Services
    • 8.2.2.2. System Integration & Implementation Services
    • 8.2.2.3. Training & Consulting Services
• 8.3. Software
  • 8.3.1. Autoencoders
    • 8.3.1.1. Denoising Autoencoders
    • 8.3.1.2. Variational Autoencoders (VAEs)
  • 8.3.2. Deep Learning Models
    • 8.3.2.1. Convolutional Neural Networks
    • 8.3.2.2. Gated Recurrent Units (GRUs)
    • 8.3.2.3. Long Short-Term Memory (LSTM) Networks
    • 8.3.2.4. Recurrent Neural Networks
  • 8.3.3. Generative Adversarial Networks (GANs)
    • 8.3.3.1. Speech GANs
    • 8.3.3.2. Wave GANs
  • 8.3.4. Transformer Models
    • 8.3.4.1. HuBERT (Hidden-Unit BERT)
    • 8.3.4.2. Speech-Transformer
    • 8.3.4.3. SpeechBERT
    • 8.3.4.4. Tacotron
    • 8.3.4.5. Wav2Vec
    • 8.3.4.6. WaveNet

9. AI Voice Generator Market, by Industry Vertical

• 9.1. Introduction
• 9.2. Banking, Financial Services And Insurance (BFSI)
• 9.3. Education
• 9.4. Entertainment & Gaming
• 9.5. Healthcare
• 9.6. Retail and E-commerce
• 9.7. Telecommunications

10. AI Voice Generator Market, by Deployment Model

• 10.1. Introduction
• 10.2. Cloud-Based
  • 10.2.1. Hybrid Cloud
  • 10.2.2. Private Cloud
  • 10.2.3. Public Cloud
• 10.3. On-Premises

11. AI Voice Generator Market, by Application

• 11.1. Introduction
• 11.2. Chatbots
• 11.3. Content Creation
• 11.4. Customer Service
• 11.5. Gaming
• 11.6. Language Translation
• 11.7. Virtual Assistants

12. AI Voice Generator Market, by Integration

• 12.1. Introduction
• 12.2. Integrated Solutions
• 12.3. Standalone Solutions

13. Americas AI Voice Generator Market

• 13.1. Introduction
• 13.2. Argentina
• 13.3. Brazil
• 13.4. Canada
• 13.5. Mexico
• 13.6. United States

14. Asia-Pacific AI Voice Generator Market

• 14.1. Introduction
• 14.2. Australia
• 14.3. China
• 14.4. India
• 14.5. Indonesia
• 14.6. Japan
• 14.7. Malaysia
• 14.8. Philippines
• 14.9. Singapore
• 14.10. South Korea
• 14.11. Taiwan
• 14.12. Thailand
• 14.13. Vietnam

15. Europe, Middle East & Africa AI Voice Generator Market

• 15.1. Introduction
• 15.2. Denmark
• 15.3. Egypt
• 15.4. Finland
• 15.5. France
• 15.6. Germany
• 15.7. Israel
• 15.8. Italy
• 15.9. Netherlands
• 15.10. Nigeria
• 15.11. Norway
• 15.12. Poland
• 15.13. Qatar
• 15.14. Russia
• 15.15. Saudi Arabia
• 15.16. South Africa
• 15.17. Spain
• 15.18. Sweden
• 15.19. Switzerland
• 15.20. Turkey
• 15.21. United Arab Emirates
• 15.22. United Kingdom

16. Competitive Landscape

• 16.1. Market Share Analysis, 2023
• 16.2. FPNV Positioning Matrix, 2023
• 16.3. Competitive Scenario Analysis
  • 16.3.1. Synthesia and ElevenLabs partner to integrate Text-to-Speech and voice API solutions
  • 16.3.2. SoundHound AI partners with Perplexity to enhance voice assistants
  • 16.3.3. OpenAI unveils AI voice engine
• 16.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Acapela Group
• 2. Amazon Web Services, Inc.
• 3. Applause App Quality, Inc.
• 4. Beyond Voice
• 5. CereProc Ltd.(acquired by Capacity)
• 6. Descript, Inc.
• 7. Google LLC
• 8. IBM Crop
• 9. LOVO, Inc.
• 10. Microsoft Corporation
• 11. MURF Group
• 12. Naturalsoft Ltd.
• 13. NextUp Technologies, LLC
• 14. Nine Thirty Five LLC.
• 15. OpenAI
• 16. PlayHT
• 17. REPLICA STUDIOS, INC.
• 18. ResponsiveVoice.JS
• 19. Synthesia Limited.
• 20. VOXYGEN
• 21. WellSaid, Inc.
• 22. WOORD a Klazify Inc.