サンプル依頼リスト カート
  • English
  • Korean
市場調査レポート
商品コード
1413705

音声合成 (Text-to-Speech) の世界市場 (～2029年)：提供区分 (ソフトウェア・サービス・SaaS)・展開 (オンプレミス・クラウド)・音声 (ニューラル＆カスタム・非ニューラル)・ソリューション (アクセシビリティ・音声ベースAI)・組織規模・言語・産業・地域別

Text-to-Speech Market by Offering (Software, Service, SaaS), Deployment (On-premises, Cloud-based), Voice (Neural & Custom, Non-Neural), Solution (Accessibility, Voice-based AI), Organization Size, Language, Vertical & Region - Global Forecast to 2029
出版日: | 発行: MarketsandMarkets | ページ情報: 英文 218 Pages | 納期: 即納可能 即納可能とは

● お客様のご希望に応じて、既存データの加工や未掲載情報（例：国別セグメント）の追加などの対応が可能です。　 詳細はお問い合わせください。
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.76円
音声合成 (Text-to-Speech) の世界市場 (～2029年)：提供区分 (ソフトウェア・サービス・SaaS)・展開 (オンプレミス・クラウド)・音声 (ニューラル＆カスタム・非ニューラル)・ソリューション (アクセシビリティ・音声ベースAI)・組織規模・言語・産業・地域別
出版日: 2024年01月17日
発行: MarketsandMarkets
ページ情報: 英文 218 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

レポート概要

調査範囲
調査対象年 2020-2029年
基準年 2023年
予測期間 2024-2029年
単位 金額 (米ドル)
セグメント別 提供区分・展開・音声・ソリューション・組織規模・言語・産業・地域別
対象地域 北米・欧州・アジア太平洋・その他の地域

世界の音声合成 (Text-to-Speech) の市場規模は、2024年の40億米ドルから、予測期間中は13.7%のCAGRで推移し、2029年には76億米ドルの規模に成長すると予測されています。

さまざまな学習障害を持つ人々の増加が同市場の重要な促進要因となっています。音声合成技術は、失読症、視覚障害、その他の読書困難などの学習課題に直面している人々のアクセシビリティとインクルーシビティを高める上で重要な役割を果たしています。書かれた内容を話し言葉に変換することで、音声合成は多様な学習ニーズを持つ人々を支援し、より効果的に情報を理解・吸収できるようにします。教育、職場、さまざまなオンラインプラットフォームにおいて、インクルーシブなデジタル環境を構築しようという意識が高まり、重視されるようになったことが、音声合成ソリューションの需要拡大にさらに拍車をかけています。学習障害の拡大がより認知されるにつれ、音声合成技術は障壁を取り除き、さまざまな学習ニーズを持つ人々に情報への公平なアクセスを提供する上で重要な役割を果たすようになり、市場での採用が後押されています。

展開別では、クラウドベースの導入が高いCAGRを示す見通しです。同部門の高いCAGRは、現代のビジネスニーズに合致した固有の利点によって推進されています。クラウドベースのソリューションは比類のないスケーラビリティを提供するため、企業はインフラへの大規模な先行投資を必要とせず、変動する需要に基づいてリソースを効率的に管理できます。クラウド導入の費用対効果は、効率的で予算に見合ったソリューションを求める企業、特に中小企業に魅力的です。さらに、クラウドベースの音声合成サービスは、シームレスなアップデートとメンテナンスが容易なため、ユーザーは常に最新の音声合成技術にアクセスすることができます。

音声タイプ別では、自然で、表現力があり、カスタマイズ可能な音声合成体験を提供する能力により、ニューラル&カスタムの部門が最大のシェアを占めています。ニューラルモデルは、高度なディープラーニング技術を活用することで、より人間に近いニュアンスの音声品質を実現し、臨場感のある対話を求めるユーザーにとって特に魅力的です。カスタム音声オプションは、企業にユニークでブランド固有の音声を作成する機会を提供し、特徴的で記憶に残るアイデンティティを育成します。産業界がユーザーとのエンゲージメントとパーソナライズされた体験をますます優先するようになるにつれ、ニューラル音声&カスタム音声タイプの需要が急増し、市場に不可欠な構成要素となっています。

地域別では、アジア太平洋地域が最大のCAGRを示す見通しです。同地域では、中国、インド、東南アジアなどの国々でインターネットの普及率とスマートフォンの普及率が大幅に上昇し、急速なデジタル変革が進んでいます。その結果、音声対応のアプリケーションやサービスに対する需要が高まっており、音声合成技術はユーザー体験を向上させる上で重要な役割を果たしています。さらに、アジア太平洋地域の多様な言語環境も、さまざまな言語や方言をサポートする音声合成ソリューションの採用に貢献しています。eコマース、教育、ヘルスケアなどの産業の拡大は、アクセシブルでインタラクティブな音声技術の必要性をさらに高めています。企業も消費者も、このダイナミックで技術に精通した地域で音声合成の利点を認識しているため、アジア太平洋地域で大幅な成長を遂げています。

当レポートでは、世界の音声合成 (Text-to-Speech) の市場を調査し、市場概要、市場影響因子の分析、技術・特許の動向、法規制環境、ケーススタディ、市場規模の推移・予測、各種区分・地域別の詳細分析、競合情勢、主要企業のプロファイルなどをまとめています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要

  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • バリューチェーン分析
  • エコシステム/市場マップ
  • 顧客のビジネスに影響を与える動向/ディスラプション
  • 価格分析
  • 技術分析
  • ポーターのファイブフォース分析
  • 主なステークホルダーと購入基準
  • ケーススタディ分析
  • 貿易分析
  • 特許分析
  • 主な会議とイベント
  • 関税、基準、規制状況

第6章 音声合成 (Text-to-Speech) 市場で提供されるソリューション

  • アクセシビリティソリューション
  • 音声ベースAI

第7章 音声合成 (Text-to-Speech) 市場：提供区分別

  • ソフトウェア
  • サービス
    • SAAS (SOFTWARE-AS-A-SERVICE)
    • サポート、導入、コンサルティング

第8章 音声合成 (Text-to-Speech) 市場：展開モード別

  • オンプレミス
  • クラウドベース

第9章 音声合成 (Text-to-Speech) 市場：音声タイプ別

  • ニューラル＆カスタム
  • 非ニューラル

第10章 音声合成 (Text-to-Speech) 組織規模別

  • 中小企業
  • 大企業

第11章 音声合成 (Text-to-Speech) 市場：言語別

  • 英語
  • 北京語
  • ヒンディー語
  • アラビア語
  • スペイン語
  • その他

第12章 音声合成 (Text-to-Speech) 市場：産業別

  • CE製品
  • 自動車・輸送機関
  • ヘルスケア
  • 教育
  • BFSI
  • 小売
  • 企業
  • ホスピタリティ
  • その他

第13章 音声合成 (Text-to-Speech) 市場：地域別

  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第14章 競合情勢

  • 概要
  • 主要企業の採用戦略
  • 市場シェア分析
  • 5カ年企業収益分析
  • 企業評価マトリックス
  • スタートアップ/中小企業の評価マトリックス
  • 競合シナリオと動向

第15章 企業プロファイル

  • 主要企業
    • IBM
    • MICROSOFT
    • AMAZON.COM, INC.
    • GOOGLE
    • BAIDU, INC.
    • CEREPROC LTD.
    • SENSORY INC.
    • IFLYTEK CORPORATION
    • READSPEAKER B.V.
    • SESTEK
  • その他の企業
    • LUMENVOX
    • ACAPELA GROUP
    • NEXTUP TECHNOLOGIES, LLC
    • TEXTSPEAK CORPORATION
    • VONAGE AMERICA, LLC
    • ELEVENLABS
    • RESEMBLE AI
    • LOVO, INC.
    • DEEPBRAIN AI
    • SYNTHESIA LIMITED
    • HEYGEN
    • COLOSSYAN INC.
    • MURF.AI
    • NUANCE COMMUNICATIONS, INC.
    • ISPEECH, INC.

第16章 付録

目次
Product Code: SE 5253

Report Description

Scope of the Report
Years Considered for the Study2020-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredValue (USD Million)
SegmentsBy Offering, Deployment, Voice, Solution, Organization Size, Language, Vertical & Region
Regions coveredNorth America, Europe, APAC, RoW

The global Text-to-Speech market is expected to be valued at USD 4.0 billion in 2024 and is projected to reach USD 7.6 billion by 2029; it is expected to grow at a CAGR of 13.7% from 2024 to 2029. The rising number of people with different learning disabilities serves as a significant driver for the Text-to-Speech market. Text-to-Speech technology plays a crucial role in enhancing accessibility and inclusivity for individuals facing learning challenges such as dyslexia, visual impairment, or other reading difficulties. By converting written content into spoken language, Text-to-Speech aids those with diverse learning needs, enabling them to comprehend and absorb information more effectively. The increasing awareness and emphasis on creating inclusive digital environments in education, workplaces, and various online platforms further contribute to the growing demand for Text-to-Speech solutions. As the prevalence of learning disabilities becomes more acknowledged, Text-to-Speech technology becomes instrumental in breaking down barriers and providing equitable access to information for individuals with different learning needs, thereby driving its adoption in the market.

"Cloud-based deployments to account higher CAGR in Text-to-Speech market"

The high CAGR of cloud-based deployment in the Text-to-Speech market is propelled by its inherent advantages that align with contemporary business needs. Cloud-based solutions offer unparalleled scalability, enabling organizations to efficiently manage resources based on fluctuating demands without the need for extensive upfront investments in infrastructure. The cost-effectiveness of cloud deployment appeals to businesses seeking efficient and budget-friendly solutions, particularly smaller enterprises. Moreover, cloud-based Text-to-Speech services facilitate seamless updates and maintenance, ensuring that users consistently have access to the latest advancements in voice synthesis technology. As the business landscape increasingly prioritizes flexibility, rapid implementation, and resource efficiency, the growth of cloud-based deployment in the Text-to-Speech market reflects its ability to meet these evolving demands and drive widespread adoption.

"Neural and custom voice types to hold largest share in Text-to-Speech market"

Neural and custom voice types hold the largest share in the Text-to-Speech market due to their ability to deliver highly natural, expressive, and customizable speech synthesis experiences. Neural TTS models leverage advanced deep learning techniques, enabling a more human-like and nuanced voice quality, which is particularly appealing to users seeking a lifelike interaction. Custom voice options provide businesses the opportunity to create unique, brand-specific voices, fostering a distinctive and memorable identity for their applications. As industries increasingly prioritize user engagement and personalized experiences, the demand for neural and custom voice types surges, making them integral components of the Text-to-Speech market. Their capacity to elevate the quality and individuality of voice interactions positions them as key drivers in the market's evolving landscape.

"Asia Pacific region growing at highest CAGR in Text-to-Speech market"

The Asia-Pacific region is experiencing a high CAGR in the Text-to-Speech market due to several pivotal factors. The region is undergoing rapid digital transformation, with a significant increase in internet penetration and smartphone adoption across countries like China, India, and Southeast Asia. As a result, there is a growing demand for voice-enabled applications and services, with Text-to-Speech technology playing a crucial role in enhancing user experiences. Additionally, the diverse linguistic landscape in the Asia-Pacific region contributes to the adoption of Text-to-Speech solutions that support various languages and dialects. The expansion of industries such as e-commerce, education, and healthcare further fuels the need for accessible and interactive voice technologies. As businesses and consumers alike recognize the benefits of Text-to-Speech in this dynamic and tech-savvy region, the market is witnessing substantial growth in the Asia-Pacific region.

The study contains insights from various industry experts, ranging from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 26%, Tier 2 - 32%, and Tier 3 - 42%
  • By Designation: C-level Executives - 40%, Directors - 30%, and Others - 30%
  • By Region: North America - 25%, Europe - 25%, Asia Pacific - 40%, and RoW - 10%

The key players operating in the Text-to-Speech market are Microsoft Corporation (US), Google (US), Amazon.com, Inc. (US), IBM (US), and Baidu Inc. (China) among others.

Research Coverage:

The research reports the Text-to-Speech Market, By Offering (Software and Services(Software-as-a-Service and Support, Implementation and consulting)), By Deployment Mode (On-premises and Cloud-based), By Voice Type (Neural & Custom and Non-neural), By Organization Size (SMEs and Large Enterprise), By Language (English, Mandarin Chinese, Hindi, Arabic, Spanish and Others) and Region (North America, Europe, Asia Pacific, and Rest of the world (RoW)). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the Text-to-Speech market. A detailed analysis of the key industry players has been done to provide insights into their business overviews, products, key strategies, Contracts, partnerships, and agreements. New product & service launches, mergers and acquisitions, and recent developments associated with the Text-to-Speech market. Competitive analysis of upcoming startups in the Text-to-Speech market ecosystem is covered in this report.

Key Benefits of Buying the Report

  • Analysis of key drivers (Surge in Demand for Interactive Voice Response (IVR) Systems, Increased government spending on education for differently abled students, Dependence of growing elderly population on technology, Increasing number of people with different learning disabilities), restraints (Complexity of generating prosody and pronunciation of naturally occurring speech, Growing privacy, security and ethical concerns in cloud-based text-to-speech), opportunities (Seamless communication between human beings and robots, Text-to-speech solutions for temporarily and permanently disabled students, Growing inclination toward cloud-based deployment mode, Growing integration of text-to-speech in autonomous vehicles), and challenges (Creation of a generic acoustic database that covers language variations, Growing cyber-crime, data privacy and ethical considerations) influencing the growth of the Text-to-Speech market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the Text-to-Speech market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the Text-to-Speech market across varied regions.
  • Market Diversification: Exhaustive information about new products/services, untapped geographies, recent developments, and investments in the Text-to-Speech market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Microsoft Corporation (US), Google (US), Amazon.com, Inc. (US), IBM (US), and Baidu Inc. (China), among others in the Text-to-Speech market.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • FIGURE 1 TEXT-TO-SPEECH MARKET: SEGMENTATION
    • 1.3.2 REGIONAL SCOPE
    • 1.3.3 YEARS CONSIDERED
    • 1.3.4 CURRENCY CONSIDERED
  • 1.4 LIMITATIONS
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES
  • 1.7 RECESSION IMPACT

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 2 TEXT-TO-SPEECH MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY AND PRIMARY RESEARCH
    • 2.1.2 SECONDARY DATA
      • 2.1.2.1 List of key secondary sources
      • 2.1.2.2 Key data from secondary sources
    • 2.1.3 PRIMARY DATA
      • 2.1.3.1 Breakdown of primaries
      • 2.1.3.2 Primary interviews with experts
      • 2.1.3.3 List of key primary interview participants
      • 2.1.3.4 Key data from primary sources
      • 2.1.3.5 Key industry insights
  • 2.2 MARKET SIZE ESTIMATION
    • FIGURE 3 MARKET SIZE ESTIMATION: RESEARCH FLOW
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: REVENUE OF MARKET PLAYERS
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side)
    • FIGURE 5 TEXT-TO-SPEECH MARKET: BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to estimate market size using top-down analysis (supply side)
    • FIGURE 6 TEXT-TO-SPEECH MARKET: TOP-DOWN APPROACH
  • 2.3 DATA TRIANGULATION
    • FIGURE 7 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 GROWTH FORECAST ASSUMPTIONS
  • 2.6 RESEARCH LIMITATIONS
  • 2.7 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET

3 EXECUTIVE SUMMARY

    • FIGURE 8 SERVICES TO ACCOUNT FOR LARGER SHARE OF TEXT-TO-SPEECH MARKET IN 2029
    • FIGURE 9 CLOUD-BASED DEPLOYMENT MODE TO DOMINATE TEXT-TO-SPEECH MARKET IN 2029
    • FIGURE 10 NEURAL & CUSTOM VOICE TYPE TO HOLD MAJOR SHARE OF TEXT-TO-SPEECH MARKET IN 2029
    • FIGURE 11 LARGE ENTERPRISES TO LEAD TEXT-TO-SPEECH MARKET IN 2029
    • FIGURE 12 ENGLISH LANGUAGE TO HOLD LARGEST SHARE OF TEXT-TO-SPEECH MARKET IN 2029
    • FIGURE 13 CONSUMER ELECTRONICS VERTICAL TO LEAD TEXT-TO-SPEECH MARKET IN 2029
    • FIGURE 14 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN TEXT-TO-SPEECH MARKET
    • FIGURE 15 INCREASING ADOPTION OF AI AND ML SOLUTIONS IN DIFFERENT VERTICALS TO PROVIDE LUCRATIVE OPPORTUNITIES FOR TEXT-TO-SPEECH MARKET BETWEEN 2024 AND 2029
  • 4.2 TEXT-TO-SPEECH MARKET, BY LANGUAGE
    • FIGURE 16 ENGLISH LANGUAGE TO LEAD IN TECT-TO-SPEECH MARKET DURING FORECAST PERIOD
  • 4.3 TEXT-TO-SPEECH MARKET, BY VERTICAL
    • FIGURE 17 CONSUMER ELECTRONICS VERTICAL TO HOLD LARGEST SHARE IN TEXT-TO-SPEECH MARKET IN 2029
  • 4.4 TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY VERTICAL AND COUNTRY
    • FIGURE 18 CONSUMER ELECTRONICS AND CHINA TO HOLD LARGEST SHARES OF TEXT-TO-SPEECH MARKET IN ASIA PACIFIC IN 2024
  • 4.5 TEXT-TO-SPEECH MARKET, BY REGION
    • FIGURE 19 INDIA TO RECORD HIGHEST CAGR IN GLOBAL TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 20 TEXT-TO-SPEECH MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
    • FIGURE 21 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF DRIVERS
      • 5.2.1.1 Rising demand for Interactive Voice Response (IVR) systems
      • 5.2.1.2 Increasing government initiatives pertaining to education of differently abled students
      • 5.2.1.3 Growing dependence of elderly population on technology
    • FIGURE 22 POPULATION AGED 60 YEARS OR ABOVE, 1980-2050
      • 5.2.1.4 Increasing number of people with different learning disabilities
    • 5.2.2 RESTRAINTS
    • FIGURE 23 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF RESTRAINTS
      • 5.2.2.1 Complexity of generating correct prosody and pronunciation of naturally occurring speech
      • 5.2.2.2 Privacy and security concerns associated with cloud-based text-to-speech technology
    • 5.2.3 OPPORTUNITIES
    • FIGURE 24 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
      • 5.2.3.1 Integration of speech recognition technology with robotics
      • 5.2.3.2 Growing inclination toward cloud-based deployment mode
      • 5.2.3.3 Integration of text-to-speech technology into autonomous vehicles
    • 5.2.4 CHALLENGES
    • FIGURE 25 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF CHALLENGES
      • 5.2.4.1 Creation of generic acoustic database to cover language variations
      • 5.2.4.2 Growing cybercrime, data privacy, and ethical considerations
  • 5.3 VALUE CHAIN ANALYSIS
    • FIGURE 26 TEXT-TO-SPEECH MARKET: VALUE CHAIN ANALYSIS
  • 5.4 ECOSYSTEM/MARKET MAP
    • FIGURE 27 ECOSYSTEM ANALYSIS
    • FIGURE 28 ROLE OF PARTICIPANTS IN ECOSYSTEM
  • 5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
    • FIGURE 29 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • 5.6 PRICING ANALYSIS
    • 5.6.1 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES OFFERED BY KEY PLAYERS
    • FIGURE 30 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES OFFERED BY KEY PLAYERS, 2023
    • TABLE 1 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES OFFERED BY KEY PLAYERS (USD/MONTH)
    • 5.6.2 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY VERTICAL
    • FIGURE 31 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY VERTICAL, 2020-2023 (USD/MILLION CHARACTERS)
    • 5.6.3 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY REGION
    • FIGURE 32 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY REGION (USD/MILLION CHARACTERS)
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 COMPLIMENTARY TECHNOLOGIES
      • 5.7.1.1 AI-driven text-to-speech software
      • 5.7.1.2 Multilingual text-to-speech systems
      • 5.7.1.3 Neural text-to-speech technology
  • 5.8 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 2 TEXT-TO-SPEECH MARKET: PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 33 TEXT-TO-SPEECH MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.8.1 THREAT OF NEW ENTRANTS
    • 5.8.2 THREAT OF SUBSTITUTES
    • 5.8.3 BARGAINING POWER OF SUPPLIERS
    • 5.8.4 BARGAINING POWER OF BUYERS
    • 5.8.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 34 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
    • TABLE 3 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%)
    • 5.9.2 BUYING CRITERIA
    • FIGURE 35 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    • TABLE 4 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • 5.10 CASE STUDY ANALYSIS
    • 5.10.1 YAPI KREDI INTRODUCED VOICE-ENABLED ATMS FOR PEOPLE WITH DISABILITIES UTILIZING SESTEK'S TECHNOLOGY
    • 5.10.2 NEW MEXICO STATE TRANSFORMED TRAINING MODULES WITH COLOSSYAN'S AI-POWERED PLATFORM
    • 5.10.3 CYBER INC. USED SYNTHESIA TO SCALE TRAINING VIDEOS AND EXPAND PRESENCE TO NEW MARKETS
    • 5.10.4 GATWICK AIRPORT ENHANCED CUSTOMER SERVICE WITH CEREPROC'S TTS SYSTEM
    • 5.10.5 BRACKEN IMPROVED E-LEARNING PLATFORM BY DEPLOYING NEOSPEECH'S TEXT-TO-SPEECH SOLUTION
  • 5.11 TRADE ANALYSIS
    • 5.11.1 IMPORT SCENARIO
    • FIGURE 36 IMPORT DATA, BY COUNTRY, 2018-2022 (USD MILLION)
    • 5.11.2 EXPORT SCENARIO
    • FIGURE 37 EXPORT DATA, BY COUNTRY, 2018-2022 (USD MILLION)
  • 5.12 PATENT ANALYSIS
    • TABLE 5 TEXT-TO-SPEECH MARKET: LIST OF PATENTS, 2019-2023
    • FIGURE 38 NUMBER OF PATENTS GRANTED WORLDWIDE PERTAINING TO TEXT-TO-SPEECH TECHNOLOGY, 2013-2023
    • TABLE 6 TOP 20 PATENT OWNERS IN TEXT-TO-SPEECH MARKET, 2013-2023
    • FIGURE 39 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS RELATED TO TEXT-TO-SPEECH TECHNOLOGY, 2013-2023
  • 5.13 KEY CONFERENCES AND EVENTS
    • TABLE 7 TEXT-TO-SPEECH MARKET: LIST OF CONFERENCES AND EVENTS, 2023-2024
  • 5.14 TARIFF, STANDARDS, AND REGULATORY LANDSCAPE
    • 5.14.1 TARIFF
    • TABLE 8 MFN TARIFF FOR HS CODE 851989-COMPLIANT PRODUCTS EXPORTED BY US
    • TABLE 9 MFN TARIFF FOR HS CODE 851989-COMPLIANT PRODUCTS EXPORTED BY CHINA
    • 5.14.2 REGULATIONS
      • 5.14.2.1 Regulatory bodies, government agencies, and other organizations
    • TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 12 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 13 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • 5.14.2.2 Regulations
        • 5.14.2.2.1 Americans with Disabilities Act
        • 5.14.2.2.2 Office of Communications
        • 5.14.2.2.3 Polish Civil Code
        • 5.14.2.2.4 Federal Communications Commission
        • 5.14.2.2.5 General Data Protection Regulation
    • 5.14.3 STANDARDS
    • TABLE 14 TEXT-TO-SPEECH: CODES AND STANDARDS

6 SOLUTIONS OFFERED IN TEXT-TO-SPEECH MARKET

  • 6.1 INTRODUCTION
  • 6.2 ACCESSIBILITY SOLUTIONS
  • 6.3 VOICE-BASED AI

7 TEXT-TO-SPEECH MARKET, BY OFFERING

  • 7.1 INTRODUCTION
    • FIGURE 40 SERVICES TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 15 TEXT-TO-SPEECH MARKET, BY OFFERING, 2020-2023 (USD MILLION)
    • TABLE 16 TEXT-TO-SPEECH MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • 7.2 SOFTWARE
    • 7.2.1 ADVANCEMENTS IN NLP ALGORITHMS AND MULTILINGUAL CAPABILITIES OF TEXT-TO-SPEECH PRODUCTS TO FUEL MARKET GROWTH
  • 7.3 SERVICES
    • TABLE 17 SERVICES: TEXT-TO-SPEECH MARKET, BY TYPE, 2020-2023 (USD MILLION)
    • TABLE 18 SERVICES: TEXT-TO-SPEECH MARKET, BY TYPE, 2024-2029 (USD MILLION)
    • 7.3.1 SOFTWARE-AS-A-SERVICE (SAAS)
      • 7.3.1.1 Scalability and adaptability benefits offered by SaaS to drive market
    • 7.3.2 SUPPORT, IMPLEMENTATION & CONSULTING
      • 7.3.2.1 Technicalities involved in implementing text-to-speech to boost demand

8 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE

  • 8.1 INTRODUCTION
    • FIGURE 41 CLOUD-BASED DEPLOYMENT MODE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 19 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 20 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • 8.2 ON-PREMISES
    • 8.2.1 INCREASING DEMAND FOR DATA PRIVACY AND SECURITY IN DATA-SENSITIVE ORGANIZATIONS TO FOSTER SEGMENTAL GROWTH
    • TABLE 21 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
    • TABLE 22 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
    • TABLE 23 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 24 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
    • TABLE 25 ON-PREMISES: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 26 ON-PREMISES: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 27 ON-PREMISES: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 28 ON-PREMISES: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 29 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 30 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 31 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 32 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2024-2029 (USD MILLION)
  • 8.3 CLOUD-BASED
    • 8.3.1 RISING USE OF CLOUD-BASED AND AI-DRIVEN APPLICATIONS TO CONTRIBUTE TO SEGMENTAL GROWTH
    • TABLE 33 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
    • TABLE 34 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
    • TABLE 35 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 36 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
    • TABLE 37 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 38 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 39 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 40 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 41 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 42 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 43 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 44 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2024-2029 (USD MILLION)

9 TEXT-TO-SPEECH MARKET, BY VOICE TYPE

  • 9.1 INTRODUCTION
    • FIGURE 42 NEURAL & CUSTOM VOICE TYPE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 45 TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 46 TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)
  • 9.2 NEURAL & CUSTOM
    • 9.2.1 ABILITY TO OFFER UNIQUE CUSTOM VOICE PERSONAS AND LIFELIKE SPEECH SYNTHESIS TO DRIVE MARKET
    • TABLE 47 NEURAL & CUSTOM: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2020-2023 (USD MILLION)
    • TABLE 48 NEURAL & CUSTOM: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2024-2029 (USD MILLION)
  • 9.3 NON-NEURAL
    • 9.3.1 SWIFT RESPONSES AND REAL-TIME TEXT-TO-SPEECH CONVERSIONS TO PROPEL SEGMENTAL GROWTH
    • TABLE 49 NON-NEURAL: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2020-2023 (USD MILLION)
    • TABLE 50 NON-NEURAL: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2024-2029 (USD MILLION)

10 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE

  • 10.1 INTRODUCTION
    • FIGURE 43 SMES TO RECORD HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 51 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2020-2023 (USD MILLION)
    • TABLE 52 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • 10.2 SMES
    • 10.2.1 NEED TO BOOST ONLINE PRESENCE BY CREATING ENGAGING CONTENT FOR DIGITAL PLATFORMS TO DRIVE DEMAND
    • TABLE 53 SMES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 54 SMES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • 10.3 LARGE ENTERPRISES
    • 10.3.1 NEED FOR MULTILINGUAL SUPPORT FOR CONSISTENT COMMUNICATION BETWEEN EMPLOYEES FROM DIVERSE BACKGROUNDS TO FUEL MARKET GROWTH
    • TABLE 55 LARGE ENTERPRISES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 56 LARGE ENTERPRISES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)

11 TEXT-TO-SPEECH MARKET, BY LANGUAGE

  • 11.1 INTRODUCTION
    • FIGURE 44 SPANISH LANGUAGE TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 57 TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2020-2023 (USD MILLION)
    • TABLE 58 TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2024-2029 (USD MILLION)
  • 11.2 ENGLISH
    • 11.2.1 EASE OF LEARNING ENGLISH AND GLOBAL APPLICATIONS TO DRIVE SEGMENTAL GROWTH
    • TABLE 59 ENGLISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 60 ENGLISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)
  • 11.3 MANDARIN CHINESE
    • 11.3.1 INCREASING DEMAND FOR ADVANCED TECHNOLOGIES AND NATURAL LANGUAGE PROCESSING IN CHINA TO FUEL SEGMENTAL GROWTH
    • TABLE 61 MANDARIN CHINESE: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 62 MANDARIN CHINESE: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)
  • 11.4 HINDI
    • 11.4.1 RISING USE OF SMARTPHONES AND INTERNET PENETRATION IN INDIA TO BOOST SEGMENTAL GROWTH
    • TABLE 63 HINDI: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 64 HINDI: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)
  • 11.5 ARABIC
    • 11.5.1 RAPID DIGITAL TRANSFORMATION ACROSS ARABIC-SPEAKING REGIONS TO PROPEL SEGMENTAL GROWTH
    • TABLE 65 ARABIC: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 66 ARABIC: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)
  • 11.6 SPANISH
    • 11.6.1 INCREASING POPULATION AND ECONOMIC SUCCESS IN SPANISH-SPEAKING COUNTRIES TO CONTRIBUTE TO SEGMENTAL GROWTH
    • TABLE 67 SPANISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 68 SPANISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)
  • 11.7 OTHER LANGUAGES
    • TABLE 69 OTHER LANGUAGES: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020-2023 (USD MILLION)
    • TABLE 70 OTHER LANGUAGES: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024-2029 (USD MILLION)

12 TEXT-TO-SPEECH MARKET, BY VERTICAL

  • 12.1 INTRODUCTION
    • FIGURE 45 CONSUMER ELECTRONICS VERTICAL TO HOLD LARGEST MARKET SHARE IN 2029
    • TABLE 71 TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020-2023 (USD MILLION)
    • TABLE 72 TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • 12.2 CONSUMER ELECTRONICS
    • 12.2.1 NEED FOR MORE INTUITIVE AND USER-FRIENDLY INTERFACES TO DRIVE MARKET
    • TABLE 73 CONSUMER ELECTRONICS: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 74 CONSUMER ELECTRONICS: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.3 AUTOMOTIVE & TRANSPORTATION
    • 12.3.1 NEED FOR SMARTER, VOICE-ACTIVATED VEHICLES TO ENHANCE DRIVER SAFETY AND OVERALL EXPERIENCE TO FUEL MARKET GROWTH
    • TABLE 75 AUTOMOTIVE & TRANSPORTATION: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 76 AUTOMOTIVE & TRANSPORTATION: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.4 HEALTHCARE
    • 12.4.1 FOCUS ON PROVIDING PATIENT-CENTRIC HEALTHCARE EXPERIENCE AND STREAMLINING WORKFLOW AT HOSPITALS TO BOOST MARKET GROWTH
    • TABLE 77 HEALTHCARE: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 78 HEALTHCARE: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.5 EDUCATION
    • 12.5.1 SUBSTANTIAL BENEFITS FOR LEARNERS WITH VISUAL IMPAIRMENT AND LANGUAGE CHALLENGES TO DRIVE MARKET
    • TABLE 79 EDUCATION: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 80 EDUCATION: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.6 BFSI
    • 12.6.1 PERSONALIZED AND HANDS-FREE CUSTOMER EXPERIENCE AND FRAUD DETECTION FEATURES TO CONTRIBUTE TO MARKET GROWTH
    • TABLE 81 BFSI: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 82 BFSI: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.7 RETAIL
    • 12.7.1 PERSONALIZED ONLINE SHOPPING EXPERIENCE LEADING TO INCREASED CUSTOMER SATISFACTION TO AUGMENT MARKET GROWTH
    • TABLE 83 RETAIL: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 84 RETAIL: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.8 ENTERPRISES
    • 12.8.1 IMPROVED BUSINESS PERFORMANCE AND EFFECTIVENESS IN EMERGENCY ALERT SYSTEMS TO PROPEL MARKET
    • TABLE 85 ENTERPRISES: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 86 ENTERPRISES: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.9 HOSPITALITY
    • 12.9.1 RISING IMPLEMENTATION OF VOICE-BASED SEARCH IN ONLINE PORTALS TO ENHANCE TRAVEL MARKETING TO DRIVE MARKET
    • TABLE 87 HOSPITALITY: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 88 HOSPITALITY: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 12.10 OTHER VERTICALS
    • TABLE 89 OTHER VERTICALS: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 90 OTHER VERTICALS: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)

13 TEXT-TO-SPEECH MARKET, BY REGION

  • 13.1 INTRODUCTION
    • FIGURE 46 ASIA PACIFIC TO RECORD HIGHEST CAGR IN TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD
    • TABLE 91 TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 92 TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
  • 13.2 NORTH AMERICA
    • FIGURE 47 NORTH AMERICA: TEXT-TO-SPEECH MARKET SNAPSHOT
    • TABLE 93 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 94 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 95 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 96 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
    • TABLE 97 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020-2023 (USD MILLION)
    • TABLE 98 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
    • 13.2.1 US
      • 13.2.1.1 Increasing adoption of text-to-speech and voice recognition technologies by major corporations to fuel market growth
    • 13.2.2 CANADA
      • 13.2.2.1 Commitment to providing accessible multilingual services across different sectors to drive market
    • 13.2.3 MEXICO
      • 13.2.3.1 Integration of text-to-speech technology into navigation and in-car entertainment systems to propel market
    • 13.2.4 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN NORTH AMERICA
  • 13.3 EUROPE
    • FIGURE 48 EUROPE: TEXT-TO-SPEECH MARKET SNAPSHOT
    • TABLE 99 EUROPE: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 100 EUROPE: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 101 EUROPE: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 102 EUROPE: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
    • TABLE 103 EUROPE: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020-2023 (USD MILLION)
    • TABLE 104 EUROPE: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
    • 13.3.1 GERMANY
      • 13.3.1.1 Growing demand for natural and context-aware voice interactions to fuel market growth
    • 13.3.2 UK
      • 13.3.2.1 Embracing digital economy and innovative technologies backed by government initiatives to drive market
    • 13.3.3 ITALY
      • 13.3.3.1 Rising popularity of virtual assistants and navigation systems to foster market growth
    • 13.3.4 FRANCE
      • 13.3.4.1 Surge in initiatives promoting digital transformation to boost market growth
    • 13.3.5 SPAIN
      • 13.3.5.1 Rising integration of text-to-speech solutions with smart devices and virtual assistants to fuel market growth
    • 13.3.6 REST OF EUROPE
    • 13.3.7 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN EUROPE
  • 13.4 ASIA PACIFIC
    • FIGURE 49 ASIA PACIFIC: TEXT-TO-SPEECH MARKET SNAPSHOT
    • TABLE 105 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2020-2023 (USD MILLION)
    • TABLE 106 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
    • TABLE 107 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 108 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
    • TABLE 109 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020-2023 (USD MILLION)
    • TABLE 110 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
    • 13.4.1 CHINA
      • 13.4.1.1 Booming digital landscape and population growth to drive market
    • 13.4.2 JAPAN
      • 13.4.2.1 Rising adoption of text-to-speech technology to enhance user interfaces and create immersive experiences to contribute to market growth
    • 13.4.3 SOUTH KOREA
      • 13.4.3.1 Integration of text-to-speech technology with consumer electronics to foster market growth
    • 13.4.4 INDIA
      • 13.4.4.1 Higher linguistic diversity and rapid digital transformation to boost market growth
    • 13.4.5 REST OF ASIA PACIFIC
    • 13.4.6 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN ASIA PACIFIC
  • 13.5 ROW
    • TABLE 111 ROW: TEXT-TO-SPEECH MARKET, BY REGION, 2020-2023 (USD MILLION)
    • TABLE 112 ROW: TEXT-TO-SPEECH MARKET, BY REGION, 2024-2029 (USD MILLION)
    • TABLE 113 ROW: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020-2023 (USD MILLION)
    • TABLE 114 ROW: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
    • TABLE 115 ROW: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020-2023 (USD MILLION)
    • TABLE 116 ROW: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
    • 13.5.1 SOUTH AMERICA
      • 13.5.1.1 Growing demand from consumer electronics industry and enterprises to support market growth
    • 13.5.2 MIDDLE EAST & AFRICA
      • 13.5.2.1 Rising demand for digital accessibility and Arabic language support in text-to-speech solutions to drive market
    • 13.5.3 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN ROW

14 COMPETITIVE LANDSCAPE

  • 14.1 OVERVIEW
  • 14.2 STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 117 TEXT-TO-SPEECH MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, 2020-2023
    • 14.2.1 PRODUCT/SERVICE PORTFOLIO
    • 14.2.2 REGIONAL FOCUS
    • 14.2.3 ORGANIC/INORGANIC GROWTH STRATEGIES
  • 14.3 MARKET SHARE ANALYSIS
    • FIGURE 50 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2023
    • TABLE 118 TEXT-TO-SPEECH MARKET SHARE ANALYSIS, 2023
  • 14.4 FIVE-YEAR COMPANY REVENUE ANALYSIS
    • FIGURE 51 REVENUE ANALYSIS OF KEY PLAYERS, 2018-2022
  • 14.5 COMPANY EVALUATION MATRIX
    • 14.5.1 STARS
    • 14.5.2 EMERGING LEADERS
    • 14.5.3 PERVASIVE PLAYERS
    • 14.5.4 PARTICIPANTS
    • FIGURE 52 TEXT-TO-SPEECH MARKET: COMPANY EVALUATION MATRIX, 2023
    • 14.5.5 COMPANY FOOTPRINT
    • TABLE 119 COMPANY FOOTPRINT, BY OFFERING
    • TABLE 120 COMPANY FOOTPRINT, BY DEPLOYMENT MODE
    • TABLE 121 COMPANY FOOTPRINT, BY VERTICAL
    • TABLE 122 COMPANY FOOTPRINT, BY REGION
    • TABLE 123 OVERALL COMPANY FOOTPRINT
  • 14.6 START-UPS/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX
    • 14.6.1 PROGRESSIVE COMPANIES
    • 14.6.2 RESPONSIVE COMPANIES
    • 14.6.3 DYNAMIC COMPANIES
    • 14.6.4 STARTING BLOCKS
    • FIGURE 53 TEXT-TO-SPEECH MARKET: START-UPS/SMES EVALUATION MATRIX, 2023
    • 14.6.5 COMPETITIVE BENCHMARKING
    • TABLE 124 TEXT-TO-SPEECH MARKET: LIST OF KEY START-UPS/SMES
    • TABLE 125 START-UPS/SMES FOOTPRINT, BY OFFERING
    • TABLE 126 START-UPS/SMES FOOTPRINT, BY DEPLOYMENT MODE
    • TABLE 127 START-UPS/SMES FOOTPRINT, BY VERTICAL
    • TABLE 128 START-UPS/SMES FOOTPRINT, BY REGION
  • 14.7 COMPETITIVE SCENARIOS AND TRENDS
    • 14.7.1 PRODUCT LAUNCHES
    • TABLE 129 TEXT-TO-SPEECH MARKET: PRODUCT LAUNCHES, 2019-2023
    • 14.7.2 DEALS
    • TABLE 130 TEXT-TO-SPEECH MARKET: DEALS, 2020-2023

15 COMPANY PROFILES

  • (Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))**
  • 15.1 INTRODUCTION
  • 15.2 KEY PLAYERS
    • 15.2.1 IBM
    • TABLE 131 IBM: BUSINESS OVERVIEW
    • FIGURE 54 IBM: COMPANY SNAPSHOT
    • TABLE 132 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 133 IBM: PRODUCT LAUNCHES
    • TABLE 134 IBM: DEALS
    • 15.2.2 MICROSOFT
    • TABLE 135 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 55 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 136 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 137 MICROSOFT: PRODUCT LAUNCHES
    • TABLE 138 MICROSOFT: DEALS
    • 15.2.3 AMAZON.COM, INC.
    • TABLE 139 AMAZON.COM, INC.: BUSINESS OVERVIEW
    • FIGURE 56 AMAZON.COM, INC.: COMPANY SNAPSHOT
    • TABLE 140 AMAZON.COM, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 141 AMAZON.COM, INC.: PRODUCT LAUNCHES
    • 15.2.4 GOOGLE
    • TABLE 142 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 57 GOOGLE: COMPANY SNAPSHOT
    • TABLE 143 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 144 GOOGLE: PRODUCT LAUNCHES
    • 15.2.5 BAIDU, INC.
    • TABLE 145 BAIDU, INC.: BUSINESS OVERVIEW
    • FIGURE 58 BAIDU, INC.: COMPANY SNAPSHOT
    • TABLE 146 BAIDU, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 147 BAIDU, INC.: PRODUCT LAUNCHES
    • 15.2.6 CEREPROC LTD.
    • TABLE 148 CEREPROC LTD.: BUSINESS OVERVIEW
    • TABLE 149 CEREPROC LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 150 CEREPROC LTD.: PRODUCT LAUNCHES
    • TABLE 151 CEREPROC LTD.: DEALS
    • 15.2.7 SENSORY INC.
    • TABLE 152 SENSORY INC.: BUSINESS OVERVIEW
    • TABLE 153 SENSORY INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 154 SENSORY INC.: PRODUCT LAUNCHES
    • TABLE 155 SENSORY INC.: DEALS
    • 15.2.8 IFLYTEK CORPORATION
    • TABLE 156 IFLYTEK CORPORATION: BUSINESS OVERVIEW
    • FIGURE 59 IFLYTEK CORPORATION: COMPANY SNAPSHOT
    • TABLE 157 IFLYTEK CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 158 IFLYTEK CORPORATION: PRODUCT LAUNCHES
    • 15.2.9 READSPEAKER B.V.
    • TABLE 159 READSPEAKER B.V.: BUSINESS OVERVIEW
    • TABLE 160 READSPEAKER B.V.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 161 READSPEAKER B.V.: PRODUCT LAUNCHES
    • TABLE 162 READSPEAKER B.V.: DEALS
    • 15.2.10 SESTEK
    • TABLE 163 SESTEK: BUSINESS OVERVIEW
    • TABLE 164 SESTEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 165 SESTEK: PRODUCT LAUNCHES
  • 15.3 OTHER PLAYERS
    • 15.3.1 LUMENVOX
    • 15.3.2 ACAPELA GROUP
    • 15.3.3 NEXTUP TECHNOLOGIES, LLC
    • 15.3.4 TEXTSPEAK CORPORATION
    • 15.3.5 VONAGE AMERICA, LLC
    • 15.3.6 ELEVENLABS
    • 15.3.7 RESEMBLE AI
    • 15.3.8 LOVO, INC.
    • 15.3.9 DEEPBRAIN AI
    • 15.3.10 SYNTHESIA LIMITED
    • 15.3.11 HEYGEN
    • 15.3.12 COLOSSYAN INC.
    • 15.3.13 MURF.AI
    • 15.3.14 NUANCE COMMUNICATIONS, INC.
    • 15.3.15 ISPEECH, INC.
  • *Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.

16 APPENDIX

  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS