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市场调查报告书
商品编码
1636758

到 2030 年人工智慧语音产生器市场预测：按类型、部署模式、组件、技术、应用、最终用户和地区进行的全球分析

AI Voice Generator Market Forecasts to 2030 - Global Analysis By Type (Speech-to-Text, Text-to-Speech, Voice Cloning, Voice conversion, Voice enhancement and Other Types), Deployment Mode, Component, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球人工智慧语音产生器市值将达到 46.9022 亿美元，预计到 2030 年将达到 243.6289 亿美元，在预测期内复合年增长率为 31.6%。

AI语音产生器是一种利用人工智慧、机器学习和深度学习演算法从文字输入产生类似人类声音的技术。透过合成可以模仿特定音调、口音和情感的音频，将书面内容转换为听起来自然的音频。 AI 语音产生器可用于各种应用，包括虚拟助理、客户服务聊天机器人、业务、娱乐和辅助工具。这些系统透过提供更具互动性和个人化的语音互动来改善用户体验。

根据 HIPAA Journal 报导，2021 财政年度美国医疗保健产业发生了最严重的资料外洩事件，影响了 42,431,699 条个人记录。根据 Ascential Digital Commerce 的最新分析，东南亚的电子商务收益预计到 2022 年将成长 18%，达到 382 亿美元。

对语音助理的需求增加

Google Assistant、Apple Siri、Microsoft Cortana 和 Amazon Alexa 等虚拟助理广泛应用于行动装置、智慧家庭和消费产品。为了提供流畅、引人入胜和客製化的使用者体验，这些语音助理依赖人工智慧主导的语音生成技术。随着用户更喜欢以更免提、更有效、更直观的方式与他们的设备进行交互，对高品质、逼真的人工智慧语音的需求只会增长。机器学习和自然语言处理 (NLP) 的趋势将透过提高语音准确性、上下文理解和情绪基调来进一步推动这一趋势，使虚拟助理更具回应性和人性化。

系统调试与维护复杂

儘管人工智慧语音创建取得了令人印象深刻的进步，但要即时实现准确、无缝的语音合成仍然很困难。即时音讯产生需要大量的运算能力来即时处理和产生音频，这是资源密集的，尤其是在处理能力有限的设备上。此外，在上下文和语气快速变化的动态对话中很难保持自然的语音品质。传输问题和对高速资料通讯的需求可能会影响效能，导致对话延迟或不自然的暂停。这些挑战阻碍了人工智慧语音产生器在即时客户服务、即时翻译和互动式语音助理等应用中的部署。

对多语言支援的需求不断增长

随着企业和消费者越来越多地在不同的国际环境中运营，对多语言支援的需求不断增长是推动人工智慧语音产生器产业的主要因素。人工智慧语音产生器必须支援多种语言、方言和口音，才能为世界各地的使用者提供无缝体验。这种需求在客户服务、数位学习、娱乐和医疗保健等领域尤其明显，这些领域的可近性和个人化非常重要。自然语言处理 (NLP) 和机器学习的进步使得克服语言障碍并以多种语言生成更准确、更自然的语音成为可能，推动了我们正在推动的人工智慧语音助理和服务在全球市场的普及。

重新部署的风险

人工智慧语音生成系统的兴起引发了人们对工作流失的担忧，尤其是在依赖人类执行语音相关业务的行业。客户服务负责人、客服中心中心代理、配音演员和磁带转录员等工作现在能够有效地处理重复性任务，例如回答问题、创建画外音和转录音频，因为人工智慧系统现在可以有效地处理重复性任务，例如回答问题、创建画外音和转录音讯可能会变得过时。儘管人工智慧具有提高生产力的潜力，但人们仍担心失业，尤其是低技能工作。随着公司利用人工智慧驱动的语音技术来降低成本，对劳动力重新培训和提高技能的需求将会增加，对这些行业就业的影响可能会减少。

COVID-19 的影响

随着企业和消费者越来越依赖远距工作、客户服务和通讯的数位解决方案，COVID-19 大流行加速了人工智慧语音产生器的采用。随着虚拟助理、电子商务和非接触式互动需求的激增，人工智慧语音技术在医疗保健、客户支援和数位学习等领域变得至关重要。此外，虚拟会议和远端医疗的兴起凸显了对准确语音辨识和合成的需求，推动了疫情期间人工智慧语音产生器市场的创新和成长。

语音克隆领域预计将在预测期内成为最大的领域

由于对个人化体验、具有成本效益的语音生成以及深度学习和神经网路的进步的需求不断增长，语音克隆细分市场预计将是最大的。语音克隆允许企业为虚拟助理、行销和内容创建创建独特的、品牌特定的声音。此外，娱乐和游戏产业的兴起对客製自订语音的需求很高，这进一步推动了语音克隆技术的采用，以实现沉浸式和互动式使用者体验。

预计娱乐和媒体产业在预测期内的复合年增长率最高。

由于人工智慧生成的声音为配音、配音和内容创作提供了经济高效且可扩展的解决方案，预计娱乐和媒体产业在预测期内将实现最高的复合年增长率。 AI语音技术可以实现电影、电视节目和电玩游戏的快速製作，减少对人类配音员的需求，并实现动态内容个人化。此外，产生多种语言的客製化语音的能力可以实现全球部署，使人工智慧语音产生器成为业界的必备工具。

比最大的地区

由于银行、通讯和零售等各行业对改善客户互动和客製化互动解决方案的需求不断增长，预计亚太地区将在预测期内占据最大的市场占有率。由于该地区 IT 行业的蓬勃发展和人工智慧技术的快速采用，该市场正在不断增长。此外，随着亚太地区对智慧型装置和物联网解决方案的需求不断增加，对人工智慧语音产生器的需求也在增加。此外，由于人工智慧研发的大量投资以及鼓励人工智慧创新的政府计划，该地区的市场正在扩大。

复合年增长率最高的地区：

预计北美地区在预测期内的复合年增长率最高。这是由于技术先驱和早期采用者的存在、人工智慧研究机构和新兴企业的强大生态系统以及企业和消费者对人工智慧技术的早期采用。该地区高度重视人工智慧研发，并拥有坚实的技术进步基础。此外，对个人化通讯体验的需求不断增长以及语音设备的日益普及正在进一步推动北美市场的成长。

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    • 其他市场公司的综合分析（最多 3 家公司）
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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球人工智慧语音产生器市场：按类型

  • 语音转文字 (STT)
  • 文字转语音 (TTS)
  • 语音克隆
  • 语音转换
  • 语音增强
  • 其他类型

第六章全球人工智慧语音产生器市场：按部署模式

  • 云端基础
  • 本地

第七章全球人工智慧语音产生器市场：按组成部分

  • 软体
  • 服务

第八章全球人工智慧语音产生器市场：依技术分类

  • 机器学习（ML）
  • 深度学习神经网络
  • 自然语言处理（NLP）

第九章全球人工智慧语音产生器市场：依应用分类

  • 创新写作
  • 内容创作
  • 有声书/播客
  • 音乐创作/生成
  • 音讯配音/翻译
  • 行销/广告
  • 虚拟助理
  • 客户服务聊天机器人
  • 其他用途

第10章全球人工智慧语音产生器市场：依最终用户分类

  • 娱乐媒体
  • 卫生保健
  • 教育/电子学习
  • 车
  • 零售/电子商务
  • 银行、金融服务和保险 (BFSI)
  • 资讯科技/通讯
  • 其他最终用户

第十一章全球人工智慧语音产生器市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东/非洲

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • Google
  • Amazon
  • Microsoft
  • IBM
  • Nuance Communications
  • iFlytek
  • Baidu
  • Speechmatics
  • Voxygen
  • Acapela Group
  • Descript
  • VocaliD
  • Resemble AI
  • Sonantic
  • WellSaid Labs
  • ReadSpeaker
  • Cepstral
  • Murf AI
  • Oddcast
  • Speechelo
Product Code: SMRC28399

According to Stratistics MRC, the Global AI Voice Generator Market is accounted for $4690.22 million in 2024 and is expected to reach $24362.89 million by 2030 growing at a CAGR of 31.6% during the forecast period. An AI voice generator is a technology that uses artificial intelligence, machine learning, and deep learning algorithms to produce human-like speech from text input. It converts written content into natural-sounding audio by synthesizing voices that can mimic specific tones, accents, and emotions. AI voice generators are used in a variety of applications, including virtual assistants, customer service chatbots, voiceover work, entertainment, and accessibility tools. These systems enhance user experiences by providing more interactive and personalized voice interactions.

According to HIPAA Journal, during fiscal 2021, the US Healthcare industry saw the most significant data breach, affecting 42,431,699 individual records. According to the latest Ascential Digital Commerce analysis, eCommerce revenues in Southeast Asia were expected to increase by 18% in 2022, climbing up to USD 38.2 billion.

Market Dynamics:

Driver:

Increasing demand for voice assistants

Virtual assistants, such as Google Assistant, Apple Siri, Microsoft Cortana, and Amazon Alexa, are extensively used in mobile devices, smart homes, and consumer goods. For smooth, engaging, and customized user experiences, these voice assistants rely on AI-driven voice generation technology. The need for high-quality, realistic-sounding AI voices are only growing as users prefer for more hands-free, effective, and intuitive ways to engage with their gadgets. Advances in machine learning and natural language processing (NLP) have further driven this trend by improving speech accuracy, contextual comprehension, and emotional tone, which makes virtual assistants more responsive and human-like.

Restraint:

Complexity of system debugging & maintenance

Despite the impressive advancements in AI voice creation, real-time, accurate, and seamless speech synthesis is still difficult to achieve. Real-time voice generation requires immense computational power to process and generate speech instantly, which can strain resources, especially on devices with limited processing capabilities. Furthermore, maintaining natural-sounding voice quality during dynamic conversations, where context and tone shift rapidly, is difficult. Latency issues and the need for high-speed data transmission can affect performance, leading to delays or unnatural pauses in conversation. These challenges hinder the deployment of AI voice generators in applications like live customer service, real-time translation, and interactive voice assistants.

Opportunity:

Rising demand for multilingual support

As companies and consumers increasingly operate in different, international environments, the growing need for multilingual support is a major factor propelling the AI voice generator industry. AI voice generators must support multiple languages, dialects, and accents to provide a seamless experience for users worldwide. This demand is particularly prominent in sectors such as customer service, e-learning, entertainment, and healthcare, where accessibility and personalization are crucial. Advances in natural language processing (NLP) and machine learning are helping overcome language barriers, enabling more accurate and natural-sounding multilingual voice generation, thus driving wider adoption of AI-powered voice assistants and services across global markets.

Threat:

Risk of job displacement

The rise of AI voice generators raises concerns about job displacement, particularly in industries reliant on human labor for voice-related tasks. Because AI systems can now effectively handle repetitive jobs like answering questions, creating voiceovers, and transcribing audio, occupations like customer service representatives, call center agents, voice actors, and transcriptionists may become obsolete. Even while AI has the potential to increase productivity, there is still concern about job losses, particularly in low-skilled positions. The demand for workforce retraining and upskilling is increasing as businesses use AI-powered speech technology to cut costs, which will lessen the impact on employment in these industries.

Covid-19 Impact

The COVID-19 pandemic accelerated the adoption of AI voice generators as businesses and consumers increasingly relied on digital solutions for remote work, customer service, and communication. With the surge in demand for virtual assistants, e-commerce, and contactless interactions, AI voice technologies became essential in sectors like healthcare, customer support, and e-learning. Additionally, the rise in virtual meetings and telemedicine highlighted the need for accurate speech recognition and synthesis, driving innovation and growth in the AI voice generator market during the pandemic.

The voice cloning segment is expected to be the largest during the forecast period

The voice cloning segment is estimated to be the largest, due to growing demand for personalized experiences, cost-effective voice production, and advancements in deep learning and neural networks. Voice cloning enables businesses to create unique, brand-specific voices for virtual assistants, marketing, and content creation. Additionally, the rise of entertainment and gaming industries, where custom voices are in high demand, further fuels the adoption of voice cloning technologies for immersive and interactive user experiences.

The entertainment & media segment is expected to have the highest CAGR during the forecast period

The entertainment & media segment is anticipated to witness the highest CAGR during the forecast period, as AI-generated voices offer cost-effective, scalable solutions for voiceovers, dubbing, and content creation. AI voice technology enables faster production of movies, TV shows, and video games, reducing the need for human voice actors and enabling dynamic content personalization. Additionally, the ability to generate multilingual and customized voices enhances global reach, making AI voice generators an essential tool in the industry.

Region with largest share:

Asia Pacific is expected to have the largest market share during the forecast period due to the increasing need for improved client interaction and tailored communication solutions across a range of industries, including banking, telecommunications, and retail. The market is growing as a result of the region's thriving IT sector and the quick adoption of AI technologies. The need for AI voice generators is also being increased by Asia Pacific's rising demand for smart devices and IoT solutions. Furthermore, the region's market is expanding thanks to large investments in AI research and development as well as government programs encouraging AI innovation.

Region with highest CAGR:

During the forecast period, the North America region is anticipated to register the highest CAGR, owing to the presence of technological pioneers and early adopters, a robust ecosystem of AI research institutions and start-ups, and the early adoption of AI technologies by businesses and consumers. The region boasts a strong foundation of technological advancements, with a significant focus on AI research and development. Additionally, the increasing demand for personalized communication experiences and the growing adoption of voice-enabled devices are further propelling the growth of the market in North America.

Key players in the market

Some of the key players profiled in the AI Voice Generator Market include Google, Amazon, Microsoft, IBM, Nuance Communications, iFlytek, Baidu, Speechmatics, Voxygen, Acapela Group, Descript, VocaliD, Resemble AI, Sonantic, WellSaid Labs, ReadSpeaker, Cepstral, Murf AI, Oddcast, and Speechelo.

Key Developments:

In October 2024, Microsoft and Rezolve AI partner to drive global retail innovation with AI-powered commerce solutions. Microsoft Corp. and Rezolve AI, a global leader in AI-powered commerce solutions, announced a strategic partnership to empower retailers with advanced capabilities for digital engagement.

In September 2024, ReadSpeaker Partners with D2L to Provide Enhanced Accessibility Options to BrightSpace Users. ReadSpeaker, a text-to-speech (TTS) and voice-enhanced learning tools pioneer, continues to strengthen its important collaborative partnership with D2L with the goal of creating a better learning experience for all learners and educators.

Types Covered:

  • Speech-to-Text (STT)
  • Text-to-Speech (TTS)
  • Voice Cloning
  • Voice conversion
  • Voice enhancement
  • Other Types

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises

Components Covered:

  • Software
  • Services

Technologies Covered:

  • Machine Learning (ML)
  • Deep Learning & Neural Networks
  • Natural Language Processing (NLP)

Applications Covered:

  • Creative Writing
  • Content Creation
  • Audiobooks & Podcasts
  • Music Composition and Generation
  • Audio Dubbing and Translation
  • Marketing & Advertising
  • Virtual Assistants
  • Customer Service & Chatbots
  • Other Applications

End Users Covered:

  • Entertainment & Media
  • Healthcare
  • Education & E-Learning
  • Automotive
  • Retail & E-Commerce
  • Banking, Financial Services, and Insurance (BFSI)
  • IT & Telecommunications
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Voice Generator Market, By Type

  • 5.1 Introduction
  • 5.2 Speech-to-Text (STT)
  • 5.3 Text-to-Speech (TTS)
  • 5.4 Voice Cloning
  • 5.5 Voice conversion
  • 5.6 Voice enhancement
  • 5.7 Other Types

6 Global AI Voice Generator Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premises

7 Global AI Voice Generator Market, By Component

  • 7.1 Introduction
  • 7.2 Software
  • 7.3 Services

8 Global AI Voice Generator Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning (ML)
  • 8.3 Deep Learning & Neural Networks
  • 8.4 Natural Language Processing (NLP)

9 Global AI Voice Generator Market, By Application

  • 9.1 Introduction
  • 9.2 Creative Writing
  • 9.3 Content Creation
  • 9.4 Audiobooks & Podcasts
  • 9.5 Music Composition and Generation
  • 9.6 Audio Dubbing and Translation
  • 9.7 Marketing & Advertising
  • 9.8 Virtual Assistants
  • 9.9 Customer Service & Chatbots
  • 9.10 Other Applications

10 Global AI Voice Generator Market, By End User

  • 10.1 Introduction
  • 10.2 Entertainment & Media
  • 10.3 Healthcare
  • 10.4 Education & E-Learning
  • 10.5 Automotive
  • 10.6 Retail & E-Commerce
  • 10.7 Banking, Financial Services, and Insurance (BFSI)
  • 10.8 IT & Telecommunications
  • 10.9 Other End Users

11 Global AI Voice Generator Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Google
  • 13.2 Amazon
  • 13.3 Microsoft
  • 13.4 IBM
  • 13.5 Nuance Communications
  • 13.6 iFlytek
  • 13.7 Baidu
  • 13.8 Speechmatics
  • 13.9 Voxygen
  • 13.10 Acapela Group
  • 13.11 Descript
  • 13.12 VocaliD
  • 13.13 Resemble AI
  • 13.14 Sonantic
  • 13.15 WellSaid Labs
  • 13.16 ReadSpeaker
  • 13.17 Cepstral
  • 13.18 Murf AI
  • 13.19 Oddcast
  • 13.20 Speechelo

List of Tables

  • Table 1 Global AI Voice Generator Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global AI Voice Generator Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global AI Voice Generator Market Outlook, By Speech-to-Text (STT) (2022-2030) ($MN)
  • Table 4 Global AI Voice Generator Market Outlook, By Text-to-Speech (TTS) (2022-2030) ($MN)
  • Table 5 Global AI Voice Generator Market Outlook, By Voice Cloning (2022-2030) ($MN)
  • Table 6 Global AI Voice Generator Market Outlook, By Voice conversion (2022-2030) ($MN)
  • Table 7 Global AI Voice Generator Market Outlook, By Voice enhancement (2022-2030) ($MN)
  • Table 8 Global AI Voice Generator Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 9 Global AI Voice Generator Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 10 Global AI Voice Generator Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 11 Global AI Voice Generator Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 12 Global AI Voice Generator Market Outlook, By Component (2022-2030) ($MN)
  • Table 13 Global AI Voice Generator Market Outlook, By Software (2022-2030) ($MN)
  • Table 14 Global AI Voice Generator Market Outlook, By Services (2022-2030) ($MN)
  • Table 15 Global AI Voice Generator Market Outlook, By Technology (2022-2030) ($MN)
  • Table 16 Global AI Voice Generator Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
  • Table 17 Global AI Voice Generator Market Outlook, By Deep Learning & Neural Networks (2022-2030) ($MN)
  • Table 18 Global AI Voice Generator Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 19 Global AI Voice Generator Market Outlook, By Application (2022-2030) ($MN)
  • Table 20 Global AI Voice Generator Market Outlook, By Creative Writing (2022-2030) ($MN)
  • Table 21 Global AI Voice Generator Market Outlook, By Content Creation (2022-2030) ($MN)
  • Table 22 Global AI Voice Generator Market Outlook, By Audiobooks & Podcasts (2022-2030) ($MN)
  • Table 23 Global AI Voice Generator Market Outlook, By Music Composition and Generation (2022-2030) ($MN)
  • Table 24 Global AI Voice Generator Market Outlook, By Audio Dubbing and Translation (2022-2030) ($MN)
  • Table 25 Global AI Voice Generator Market Outlook, By Marketing & Advertising (2022-2030) ($MN)
  • Table 26 Global AI Voice Generator Market Outlook, By Virtual Assistants (2022-2030) ($MN)
  • Table 27 Global AI Voice Generator Market Outlook, By Customer Service & Chatbots (2022-2030) ($MN)
  • Table 28 Global AI Voice Generator Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 29 Global AI Voice Generator Market Outlook, By End User (2022-2030) ($MN)
  • Table 30 Global AI Voice Generator Market Outlook, By Entertainment & Media (2022-2030) ($MN)
  • Table 31 Global AI Voice Generator Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 32 Global AI Voice Generator Market Outlook, By Education & E-Learning (2022-2030) ($MN)
  • Table 33 Global AI Voice Generator Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 34 Global AI Voice Generator Market Outlook, By Retail & E-Commerce (2022-2030) ($MN)
  • Table 35 Global AI Voice Generator Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2022-2030) ($MN)
  • Table 36 Global AI Voice Generator Market Outlook, By IT & Telecommunications (2022-2030) ($MN)
  • Table 37 Global AI Voice Generator Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.