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到 2030 年人工智慧語音產生器市場預測：按類型、部署模式、組件、技術、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球人工智慧語音產生器市值將達到 46.9022 億美元，預計到 2030 年將達到 243.6289 億美元，在預測期內複合年成長率為 31.6%。

AI語音產生器是一種利用人工智慧、機器學習和深度學習演算法從文字輸入產生類似人類聲音的技術。透過合成可以模仿特定音調、口音和情感的音頻，將書面內容轉換為聽起來自然的音頻。 AI 語音產生器可用於各種應用，包括虛擬助理、客戶服務聊天機器人、業務、娛樂和輔助工具。這些系統透過提供更具互動性和個人化的語音互動來改善用戶體驗。

根據 HIPAA Journal 報導，2021 財政年度美國醫療保健產業發生了最嚴重的資料外洩事件，影響了 42,431,699 條個人記錄。根據 Ascential Digital Commerce 的最新分析，東南亞的電子商務收益預計到 2022 年將成長 18%，達到 382 億美元。

對語音助理的需求增加

Google Assistant、Apple Siri、Microsoft Cortana 和 Amazon Alexa 等虛擬助理廣泛應用於行動裝置、智慧家庭和消費產品。為了提供流暢、引人入勝和客製化的使用者體驗，這些語音助理依賴人工智慧主導的語音生成技術。隨著用戶更喜歡以更免持、更有效、更直覺的方式與他們的設備進行交互，對高品質、逼真的人工智慧語音的需求只會成長。機器學習和自然語言處理 (NLP) 的趨勢將透過提高語音準確性、上下文理解和情緒基調來進一步推動這一趨勢，使虛擬助理更具回應性和人性化。

系統調試與維護複雜

儘管人工智慧語音創建取得了令人印象深刻的進步，但要即時實現準確、無縫的語音合成仍然很困難。即時音訊產生需要大量的運算能力來即時處理和產生音頻，這是資源密集的，尤其是在處理能力有限的設備上。此外，在上下文和語氣快速變化的動態對話中很難保持自然的語音品質。傳輸問題和對高速資料通訊的需求可能會影響效能，導致對話延遲或不自然的暫停。這些挑戰阻礙了人工智慧語音產生器在即時客戶服務、即時翻譯和互動式語音助理等應用中的部署。

對多語言支援的需求不斷成長

隨著企業和消費者擴大在不同的國際環境中營運，對多語言支援的需求不斷成長是推動人工智慧語音產生器產業的主要因素。人工智慧語音產生器必須支援多種語言、方言和口音，才能為世界各地的使用者提供無縫體驗。這種需求在客戶服務、數位學習、娛樂和醫療保健等領域尤其明顯，這些領域的可近性和個人化非常重要。自然語言處理 (NLP) 和機器學習的進步使得克服語言障礙並以多種語言生成更準確、更自然的語音成為可能，推動了我們正在推動的人工智慧語音助理和服務在全球市場的普及。

重新部署的風險

人工智慧語音生成系統的興起引發了人們對工作流失的擔憂，尤其是在依賴人類執行語音相關業務的行業。客戶服務負責人、客服中心中心代理、配音演員和磁帶轉錄員等工作現在能夠有效地處理重複性任務，例如回答問題、創建畫外音和轉錄音頻，因為人工智慧系統現在可以有效地處理重複性任務，例如回答問題、創建畫外音和轉錄音訊可能會變得過時。儘管人工智慧具有提高生產力的潛力，但人們仍擔心失業，尤其是低技能工作。隨著公司利用人工智慧驅動的語音技術來降低成本，對勞動力重新培訓和提高技能的需求將會增加，對這些行業就業的影響可能會減少。

COVID-19 的影響

隨著企業和消費者越來越依賴遠距工作、客戶服務和通訊的數位解決方案，COVID-19 大流行加速了人工智慧語音產生器的採用。隨著虛擬助理、電子商務和非接觸式互動需求的激增，人工智慧語音技術在醫療保健、客戶支援和數位學習等領域變得至關重要。此外，虛擬會議和遠端醫療的興起凸顯了對準確語音辨識和合成的需求，推動了疫情期間人工智慧語音產生器市場的創新和成長。

語音克隆領域預計將在預測期內成為最大的領域

由於對個人化體驗、具有成本效益的語音生成以及深度學習和神經網路的進步的需求不斷成長，語音克隆細分市場預計將是最大的。語音克隆允許企業為虛擬助理、行銷和內容創建創建獨特的、品牌特定的聲音。此外，娛樂和遊戲產業的興起對客製自訂語音的需求很高，這進一步推動了語音克隆技術的採用，以實現沉浸式和互動式使用者體驗。

預計娛樂和媒體產業在預測期內的複合年成長率最高。

由於人工智慧生成的聲音為配音、配音和內容創作提供了經濟高效且可擴展的解決方案，預計娛樂和媒體產業在預測期內將實現最高的複合年成長率。 AI語音技術可以實現電影、電視節目和電玩遊戲的快速製作，減少對人類配音員的需求，並實現動態內容個人化。此外，產生多種語言的客製化語音的能力可以實現全球部署，使人工智慧語音產生器成為業界的必備工具。

比最大的地區

由於銀行、通訊和零售等各行業對改善客戶互動和客製化互動解決方案的需求不斷成長，預計亞太地區將在預測期內佔據最大的市場佔有率。由於該地區 IT 行業的蓬勃發展和人工智慧技術的快速採用，該市場正在不斷成長。此外，隨著亞太地區對智慧型裝置和物聯網解決方案的需求不斷增加，對人工智慧語音產生器的需求也在增加。此外，由於人工智慧研發的大量投資以及鼓勵人工智慧創新的政府計劃，該地區的市場正在擴大。

複合年成長率最高的地區：

預計北美地區在預測期內的複合年成長率最高。這是由於技術先驅和早期採用者的存在、人工智慧研究機構和新興企業的強大生態系統以及企業和消費者對人工智慧技術的早期採用。該地區高度重視人工智慧研發，並擁有堅實的技術進步基礎。此外，對個人化通訊體驗的需求不斷成長以及語音設備的日益普及正在進一步推動北美市場的成長。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球人工智慧語音產生器市場：按類型

  • 語音轉文字 (STT)
  • 文字轉語音 (TTS)
  • 語音克隆
  • 語音轉換
  • 語音增強
  • 其他類型

第6章全球人工智慧語音產生器市場：按部署模式

  • 雲端基礎
  • 本地

第7章全球人工智慧語音產生器市場：按組成部分

  • 軟體
  • 服務

第8章全球人工智慧語音產生器市場：依技術分類

  • 機器學習（ML）
  • 深度學習神經網路
  • 自然語言處理（NLP）

第9章全球人工智慧語音產生器市場：依應用分類

  • 創新寫作
  • 內容創作
  • 有聲書/播客
  • 音樂創作/生成
  • 音訊配音/翻譯
  • 行銷/廣告
  • 虛擬助理
  • 客戶服務聊天機器人
  • 其他用途

第10章全球人工智慧語音產生器市場：依最終用戶分類

  • 娛樂媒體
  • 衛生保健
  • 教育/電子學習
  • 車
  • 零售/電子商務
  • 銀行、金融服務和保險 (BFSI)
  • 資訊科技/通訊
  • 其他最終用戶

第11章全球人工智慧語音產生器市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東/非洲

第12章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章 公司概況

  • 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.