조사회사 : MarketsandMarkets (마켓츠앤마켓츠) 출판년월 : 2024년01월
Text-to-Speech Market – Global Forecast To 2029
텍스트 음성 변환 시장 : 오퍼링(소프트웨어, 서비스, SaaS), 배포(온프레미스, 클라우드 기반), 음성(신경 및 맞춤, 비 신경), 솔루션(접근성, 음성 기반 AI), 조직 규모, 언어, 산업, 지역별 – 2029년까지 세계 예측
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
| 페이지 수 | 218 |
| 도표 수 | 224 |
| 구성 | 영문조사보고서 |
| 가격 |
Report Overview
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.
글로벌 텍스트 음성 변환 (Text-to-Speech) 시장은 2024년에 40억 달러 규모로 평가될 것으로 예상되며, 2029년에는 76억 달러에 이를 것으로 예상됩니다. 2024년부터 2029년까지 연평균 성장률(CAGR) 13.7%로 성장할 것으로 예상됩니다.
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 28
1.1 STUDY OBJECTIVES 28
1.2 MARKET DEFINITION 28
1.2.1 INCLUSIONS AND EXCLUSIONS 29
1.3 STUDY SCOPE 30
1.3.1 MARKETS COVERED 30
FIGURE 1 TEXT-TO-SPEECH MARKET: SEGMENTATION 30
1.3.2 REGIONAL SCOPE 30
1.3.3 YEARS CONSIDERED 31
1.3.4 CURRENCY CONSIDERED 31
1.4 LIMITATIONS 31
1.5 STAKEHOLDERS 31
1.6 SUMMARY OF CHANGES 32
1.7 RECESSION IMPACT 32
2 RESEARCH METHODOLOGY 33
2.1 RESEARCH DATA 33
FIGURE 2 TEXT-TO-SPEECH MARKET: RESEARCH DESIGN 33
2.1.1 SECONDARY AND PRIMARY RESEARCH 34
2.1.2 SECONDARY DATA 34
2.1.2.1 List of key secondary sources 35
2.1.2.2 Key data from secondary sources 35
2.1.3 PRIMARY DATA 35
2.1.3.1 Breakdown of primaries 36
2.1.3.2 Primary interviews with experts 36
2.1.3.3 List of key primary interview participants 36
2.1.3.4 Key data from primary sources 37
2.1.3.5 Key industry insights 37
2.2 MARKET SIZE ESTIMATION 38
FIGURE 3 MARKET SIZE ESTIMATION: RESEARCH FLOW 38
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: REVENUE OF MARKET PLAYERS 39
2.2.1 BOTTOM-UP APPROACH 39
2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side) 39
FIGURE 5 TEXT-TO-SPEECH MARKET: BOTTOM-UP APPROACH 40
2.2.2 TOP-DOWN APPROACH 40
2.2.2.1 Approach to estimate market size using top-down analysis (supply side) 40
FIGURE 6 TEXT-TO-SPEECH MARKET: TOP-DOWN APPROACH 40
2.3 DATA TRIANGULATION 41
FIGURE 7 DATA TRIANGULATION 41
2.4 RESEARCH ASSUMPTIONS 42
2.5 GROWTH FORECAST ASSUMPTIONS 42
2.6 RESEARCH LIMITATIONS 43
2.7 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET 43
3 EXECUTIVE SUMMARY 44
FIGURE 8 SERVICES TO ACCOUNT FOR LARGER SHARE OF TEXT-TO-SPEECH MARKET IN 2029 45
FIGURE 9 CLOUD-BASED DEPLOYMENT MODE TO DOMINATE TEXT-TO-SPEECH MARKET IN 2029 45
FIGURE 10 NEURAL & CUSTOM VOICE TYPE TO HOLD MAJOR SHARE OF TEXT-TO-SPEECH MARKET IN 2029 46
FIGURE 11 LARGE ENTERPRISES TO LEAD TEXT-TO-SPEECH MARKET IN 2029 46
FIGURE 12 ENGLISH LANGUAGE TO HOLD LARGEST SHARE OF TEXT-TO-SPEECH MARKET IN 2029 47
FIGURE 13 CONSUMER ELECTRONICS VERTICAL TO LEAD TEXT-TO-SPEECH MARKET IN 2029 47
FIGURE 14 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD 48
4 PREMIUM INSIGHTS 49
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN TEXT-TO-SPEECH MARKET 49
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 49
4.2 TEXT-TO-SPEECH MARKET, BY LANGUAGE 50
FIGURE 16 ENGLISH LANGUAGE TO LEAD IN TECT-TO-SPEECH MARKET DURING FORECAST PERIOD 50
4.3 TEXT-TO-SPEECH MARKET, BY VERTICAL 50
FIGURE 17 CONSUMER ELECTRONICS VERTICAL TO HOLD LARGEST SHARE IN TEXT-TO-SPEECH MARKET IN 2029 50
4.4 TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY VERTICAL AND COUNTRY 51
FIGURE 18 CONSUMER ELECTRONICS AND CHINA TO HOLD LARGEST SHARES OF TEXT-TO-SPEECH MARKET IN ASIA PACIFIC IN 2024 51
4.5 TEXT-TO-SPEECH MARKET, BY REGION 51
FIGURE 19 INDIA TO RECORD HIGHEST CAGR IN GLOBAL TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD 51
5 MARKET OVERVIEW 52
5.1 INTRODUCTION 52
5.2 MARKET DYNAMICS 52
FIGURE 20 TEXT-TO-SPEECH MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 52
5.2.1 DRIVERS 53
FIGURE 21 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF DRIVERS 53
5.2.1.1 Rising demand for Interactive Voice Response (IVR) systems 53
5.2.1.2 Increasing government initiatives pertaining to education of differently abled students 54
5.2.1.3 Growing dependence of elderly population on technology 54
FIGURE 22 POPULATION AGED 60 YEARS OR ABOVE, 1980–2050 55
5.2.1.4 Increasing number of people with different learning disabilities 55
5.2.2 RESTRAINTS 55
FIGURE 23 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF RESTRAINTS 55
5.2.2.1 Complexity of generating correct prosody and pronunciation of naturally occurring speech 56
5.2.2.2 Privacy and security concerns associated with cloud-based text-to-speech technology 56
5.2.3 OPPORTUNITIES 56
FIGURE 24 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF OPPORTUNITIES 56
5.2.3.1 Integration of speech recognition technology with robotics 57
5.2.3.2 Growing inclination toward cloud-based deployment mode 57
5.2.3.3 Integration of text-to-speech technology into autonomous vehicles 57
5.2.4 CHALLENGES 58
FIGURE 25 TEXT-TO-SPEECH MARKET: IMPACT ANALYSIS OF CHALLENGES 58
5.2.4.1 Creation of generic acoustic database to cover language variations 58
5.2.4.2 Growing cybercrime, data privacy, and ethical considerations 59
5.3 VALUE CHAIN ANALYSIS 59
FIGURE 26 TEXT-TO-SPEECH MARKET: VALUE CHAIN ANALYSIS 59
5.4 ECOSYSTEM/MARKET MAP 60
FIGURE 27 ECOSYSTEM ANALYSIS 60
FIGURE 28 ROLE OF PARTICIPANTS IN ECOSYSTEM 61
5.5 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 62
FIGURE 29 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 62
5.6 PRICING ANALYSIS 62
5.6.1 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES OFFERED BY KEY PLAYERS 63
FIGURE 30 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES OFFERED BY KEY PLAYERS, 2023 63
TABLE 1 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES OFFERED BY KEY PLAYERS (USD/MONTH) 63
5.6.2 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY VERTICAL 64
FIGURE 31 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY VERTICAL, 2020–2023 (USD/MILLION CHARACTERS) 64
5.6.3 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY REGION 64
FIGURE 32 AVERAGE SELLING PRICE TREND OF TEXT-TO-SPEECH SERVICES, BY REGION (USD/MILLION CHARACTERS) 64
5.7 TECHNOLOGY ANALYSIS 65
5.7.1 COMPLIMENTARY TECHNOLOGIES 65
5.7.1.1 AI-driven text-to-speech software 65
5.7.1.2 Multilingual text-to-speech systems 65
5.7.1.3 Neural text-to-speech technology 66
5.8 PORTER’S FIVE FORCES ANALYSIS 66
TABLE 2 TEXT-TO-SPEECH MARKET: PORTER’S FIVE FORCES ANALYSIS 66
FIGURE 33 TEXT-TO-SPEECH MARKET: PORTER’S FIVE FORCES ANALYSIS 67
5.8.1 THREAT OF NEW ENTRANTS 67
5.8.2 THREAT OF SUBSTITUTES 67
5.8.3 BARGAINING POWER OF SUPPLIERS 68
5.8.4 BARGAINING POWER OF BUYERS 68
5.8.5 INTENSITY OF COMPETITIVE RIVALRY 68
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA 68
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS 68
FIGURE 34 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 68
TABLE 3 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%) 69
5.9.2 BUYING CRITERIA 69
FIGURE 35 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 69
TABLE 4 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 70
5.10 CASE STUDY ANALYSIS 70
5.10.1 YAPI KREDI INTRODUCED VOICE-ENABLED ATMS FOR PEOPLE WITH DISABILITIES UTILIZING SESTEK’S TECHNOLOGY 70
5.10.2 NEW MEXICO STATE TRANSFORMED TRAINING MODULES WITH COLOSSYAN’S AI-POWERED PLATFORM 71
5.10.3 CYBER INC. USED SYNTHESIA TO SCALE TRAINING VIDEOS AND EXPAND PRESENCE TO NEW MARKETS 71
5.10.4 GATWICK AIRPORT ENHANCED CUSTOMER SERVICE WITH CEREPROC’S TTS SYSTEM 72
5.10.5 BRACKEN IMPROVED E-LEARNING PLATFORM BY DEPLOYING NEOSPEECH’S TEXT-TO-SPEECH SOLUTION 72
5.11 TRADE ANALYSIS 73
5.11.1 IMPORT SCENARIO 73
FIGURE 36 IMPORT DATA, BY COUNTRY, 2018–2022 (USD MILLION) 73
5.11.2 EXPORT SCENARIO 74
FIGURE 37 EXPORT DATA, BY COUNTRY, 2018–2022 (USD MILLION) 74
5.12 PATENT ANALYSIS 75
TABLE 5 TEXT-TO-SPEECH MARKET: LIST OF PATENTS, 2019–2023 75
FIGURE 38 NUMBER OF PATENTS GRANTED WORLDWIDE PERTAINING TO TEXT-TO-SPEECH TECHNOLOGY, 2013–2023 78
TABLE 6 TOP 20 PATENT OWNERS IN TEXT-TO-SPEECH MARKET, 2013–2023 79
FIGURE 39 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS RELATED TO TEXT-TO-SPEECH TECHNOLOGY, 2013–2023 80
5.13 KEY CONFERENCES AND EVENTS 80
TABLE 7 TEXT-TO-SPEECH MARKET: LIST OF CONFERENCES AND EVENTS, 2023–2024 80
5.14 TARIFF, STANDARDS, AND REGULATORY LANDSCAPE 81
5.14.1 TARIFF 81
TABLE 8 MFN TARIFF FOR HS CODE 851989-COMPLIANT PRODUCTS EXPORTED BY US 81
TABLE 9 MFN TARIFF FOR HS CODE 851989-COMPLIANT PRODUCTS EXPORTED BY CHINA 82
5.14.2 REGULATIONS 82
5.14.2.1 Regulatory bodies, government agencies, and other organizations 82
TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 82
TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 12 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 13 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 84
5.14.2.2 Regulations 84
5.14.2.2.1 Americans with Disabilities Act 84
5.14.2.2.2 Office of Communications 84
5.14.2.2.3 Polish Civil Code 84
5.14.2.2.4 Federal Communications Commission 85
5.14.2.2.5 General Data Protection Regulation 85
5.14.3 STANDARDS 85
TABLE 14 TEXT-TO-SPEECH: CODES AND STANDARDS 85
6 SOLUTIONS OFFERED IN TEXT-TO-SPEECH MARKET 86
6.1 INTRODUCTION 86
6.2 ACCESSIBILITY SOLUTIONS 86
6.3 VOICE-BASED AI 86
7 TEXT-TO-SPEECH MARKET, BY OFFERING 88
7.1 INTRODUCTION 89
FIGURE 40 SERVICES TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 89
TABLE 15 TEXT-TO-SPEECH MARKET, BY OFFERING, 2020–2023 (USD MILLION) 89
TABLE 16 TEXT-TO-SPEECH MARKET, BY OFFERING, 2024–2029 (USD MILLION) 90
7.2 SOFTWARE 90
7.2.1 ADVANCEMENTS IN NLP ALGORITHMS AND MULTILINGUAL CAPABILITIES OF TEXT-TO-SPEECH PRODUCTS TO FUEL MARKET GROWTH 90
7.3 SERVICES 90
TABLE 17 SERVICES: TEXT-TO-SPEECH MARKET, BY TYPE, 2020–2023 (USD MILLION) 91
TABLE 18 SERVICES: TEXT-TO-SPEECH MARKET, BY TYPE, 2024–2029 (USD MILLION) 91
7.3.1 SOFTWARE-AS-A-SERVICE (SAAS) 91
7.3.1.1 Scalability and adaptability benefits offered by SaaS to drive market 91
7.3.2 SUPPORT, IMPLEMENTATION & CONSULTING 91
7.3.2.1 Technicalities involved in implementing text-to-speech to boost demand 91
8 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE 92
8.1 INTRODUCTION 93
FIGURE 41 CLOUD-BASED DEPLOYMENT MODE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 93
TABLE 19 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 93
TABLE 20 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 94
8.2 ON-PREMISES 94
8.2.1 INCREASING DEMAND FOR DATA PRIVACY AND SECURITY IN DATA-SENSITIVE ORGANIZATIONS TO FOSTER SEGMENTAL GROWTH 94
TABLE 21 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2020–2023 (USD MILLION) 94
TABLE 22 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 95
TABLE 23 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 95
TABLE 24 ON-PREMISES: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 95
TABLE 25 ON-PREMISES: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2023 (USD MILLION) 95
TABLE 26 ON-PREMISES: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2024–2029 (USD MILLION) 96
TABLE 27 ON-PREMISES: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2020–2023 (USD MILLION) 96
TABLE 28 ON-PREMISES: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2024–2029 (USD MILLION) 96
TABLE 29 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2020–2023 (USD MILLION) 97
TABLE 30 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2024–2029 (USD MILLION) 97
TABLE 31 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2020–2023 (USD MILLION) 97
TABLE 32 ON-PREMISES: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2024–2029 (USD MILLION) 98
8.3 CLOUD-BASED 98
8.3.1 RISING USE OF CLOUD-BASED AND AI-DRIVEN APPLICATIONS TO CONTRIBUTE TO SEGMENTAL GROWTH 98
TABLE 33 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2020–2023 (USD MILLION) 98
TABLE 34 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 98
TABLE 35 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 99
TABLE 36 CLOUD-BASED: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 99
TABLE 37 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2020–2023 (USD MILLION) 99
TABLE 38 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY COUNTRY, 2024–2029 (USD MILLION) 99
TABLE 39 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2020–2023 (USD MILLION) 100
TABLE 40 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 2024–2029 (USD MILLION) 100
TABLE 41 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2020–2023 (USD MILLION) 100
TABLE 42 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ASIA PACIFIC, BY COUNTRY, 2024–2029 (USD MILLION) 101
TABLE 43 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2020–2023 (USD MILLION) 101
TABLE 44 CLOUD-BASED: TEXT-TO-SPEECH MARKET IN ROW, BY COUNTRY, 2024–2029 (USD MILLION) 101
9 TEXT-TO-SPEECH MARKET, BY VOICE TYPE 102
9.1 INTRODUCTION 103
FIGURE 42 NEURAL & CUSTOM VOICE TYPE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 103
TABLE 45 TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 103
TABLE 46 TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 103
9.2 NEURAL & CUSTOM 104
9.2.1 ABILITY TO OFFER UNIQUE CUSTOM VOICE PERSONAS AND LIFELIKE SPEECH SYNTHESIS TO DRIVE MARKET 104
TABLE 47 NEURAL & CUSTOM: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2020–2023 (USD MILLION) 104
TABLE 48 NEURAL & CUSTOM: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2024–2029 (USD MILLION) 105
9.3 NON-NEURAL 105
9.3.1 SWIFT RESPONSES AND REAL-TIME TEXT-TO-SPEECH CONVERSIONS TO PROPEL SEGMENTAL GROWTH 105
TABLE 49 NON-NEURAL: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2020–2023 (USD MILLION) 105
TABLE 50 NON-NEURAL: TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2024–2029 (USD MILLION) 106
10 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE 107
10.1 INTRODUCTION 108
FIGURE 43 SMES TO RECORD HIGHER CAGR DURING FORECAST PERIOD 108
TABLE 51 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2020–2023 (USD MILLION) 108
TABLE 52 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION) 108
10.2 SMES 109
10.2.1 NEED TO BOOST ONLINE PRESENCE BY CREATING ENGAGING CONTENT FOR DIGITAL PLATFORMS TO DRIVE DEMAND 109
TABLE 53 SMES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 109
TABLE 54 SMES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 109
10.3 LARGE ENTERPRISES 110
10.3.1 NEED FOR MULTILINGUAL SUPPORT FOR CONSISTENT COMMUNICATION BETWEEN EMPLOYEES FROM DIVERSE BACKGROUNDS TO FUEL MARKET GROWTH 110
TABLE 55 LARGE ENTERPRISES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 110
TABLE 56 LARGE ENTERPRISES: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 110
11 TEXT-TO-SPEECH MARKET, BY LANGUAGE 111
11.1 INTRODUCTION 112
FIGURE 44 SPANISH LANGUAGE TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 112
TABLE 57 TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2020–2023 (USD MILLION) 113
TABLE 58 TEXT-TO-SPEECH MARKET, BY LANGUAGE, 2024–2029 (USD MILLION) 113
11.2 ENGLISH 114
11.2.1 EASE OF LEARNING ENGLISH AND GLOBAL APPLICATIONS TO DRIVE SEGMENTAL GROWTH 114
TABLE 59 ENGLISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 114
TABLE 60 ENGLISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 114
11.3 MANDARIN CHINESE 115
11.3.1 INCREASING DEMAND FOR ADVANCED TECHNOLOGIES AND NATURAL LANGUAGE PROCESSING IN CHINA TO FUEL SEGMENTAL GROWTH 115
TABLE 61 MANDARIN CHINESE: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 115
TABLE 62 MANDARIN CHINESE: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 115
11.4 HINDI 116
11.4.1 RISING USE OF SMARTPHONES AND INTERNET PENETRATION IN INDIA TO BOOST SEGMENTAL GROWTH 116
TABLE 63 HINDI: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 116
TABLE 64 HINDI: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 116
11.5 ARABIC 117
11.5.1 RAPID DIGITAL TRANSFORMATION ACROSS ARABIC-SPEAKING REGIONS TO PROPEL SEGMENTAL GROWTH 117
TABLE 65 ARABIC: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 117
TABLE 66 ARABIC: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 117
11.6 SPANISH 118
11.6.1 INCREASING POPULATION AND ECONOMIC SUCCESS IN SPANISH-SPEAKING COUNTRIES TO CONTRIBUTE TO SEGMENTAL GROWTH 118
TABLE 67 SPANISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 118
TABLE 68 SPANISH: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 118
11.7 OTHER LANGUAGES 118
TABLE 69 OTHER LANGUAGES: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2020–2023 (USD MILLION) 119
TABLE 70 OTHER LANGUAGES: TEXT-TO-SPEECH MARKET, BY VOICE TYPE, 2024–2029 (USD MILLION) 119
12 TEXT-TO-SPEECH MARKET, BY VERTICAL 120
12.1 INTRODUCTION 121
FIGURE 45 CONSUMER ELECTRONICS VERTICAL TO HOLD LARGEST MARKET SHARE IN 2029 121
TABLE 71 TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020–2023 (USD MILLION) 122
TABLE 72 TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 122
12.2 CONSUMER ELECTRONICS 122
12.2.1 NEED FOR MORE INTUITIVE AND USER-FRIENDLY INTERFACES TO DRIVE MARKET 122
TABLE 73 CONSUMER ELECTRONICS: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 123
TABLE 74 CONSUMER ELECTRONICS: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 123
12.3 AUTOMOTIVE & TRANSPORTATION 123
12.3.1 NEED FOR SMARTER, VOICE-ACTIVATED VEHICLES TO ENHANCE DRIVER SAFETY AND OVERALL EXPERIENCE TO FUEL MARKET GROWTH 123
TABLE 75 AUTOMOTIVE & TRANSPORTATION: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 124
TABLE 76 AUTOMOTIVE & TRANSPORTATION: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 124
12.4 HEALTHCARE 124
12.4.1 FOCUS ON PROVIDING PATIENT-CENTRIC HEALTHCARE EXPERIENCE AND STREAMLINING WORKFLOW AT HOSPITALS TO BOOST MARKET GROWTH 124
TABLE 77 HEALTHCARE: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 125
TABLE 78 HEALTHCARE: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 125
12.5 EDUCATION 125
12.5.1 SUBSTANTIAL BENEFITS FOR LEARNERS WITH VISUAL IMPAIRMENT AND LANGUAGE CHALLENGES TO DRIVE MARKET 125
TABLE 79 EDUCATION: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 126
TABLE 80 EDUCATION: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 126
12.6 BFSI 126
12.6.1 PERSONALIZED AND HANDS-FREE CUSTOMER EXPERIENCE AND FRAUD DETECTION FEATURES TO CONTRIBUTE TO MARKET GROWTH 126
TABLE 81 BFSI: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 127
TABLE 82 BFSI: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 127
12.7 RETAIL 127
12.7.1 PERSONALIZED ONLINE SHOPPING EXPERIENCE LEADING TO INCREASED CUSTOMER SATISFACTION TO AUGMENT MARKET GROWTH 127
TABLE 83 RETAIL: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 128
TABLE 84 RETAIL: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 128
12.8 ENTERPRISES 128
12.8.1 IMPROVED BUSINESS PERFORMANCE AND EFFECTIVENESS IN EMERGENCY ALERT SYSTEMS TO PROPEL MARKET 128
TABLE 85 ENTERPRISES: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 129
TABLE 86 ENTERPRISES: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 129
12.9 HOSPITALITY 129
12.9.1 RISING IMPLEMENTATION OF VOICE-BASED SEARCH IN ONLINE PORTALS TO ENHANCE TRAVEL MARKETING TO DRIVE MARKET 129
TABLE 87 HOSPITALITY: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 129
TABLE 88 HOSPITALITY: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 130
12.10 OTHER VERTICALS 130
TABLE 89 OTHER VERTICALS: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 130
TABLE 90 OTHER VERTICALS: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 130
13 TEXT-TO-SPEECH MARKET, BY REGION 131
13.1 INTRODUCTION 132
FIGURE 46 ASIA PACIFIC TO RECORD HIGHEST CAGR IN TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD 132
TABLE 91 TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 132
TABLE 92 TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 133
13.2 NORTH AMERICA 133
FIGURE 47 NORTH AMERICA: TEXT-TO-SPEECH MARKET SNAPSHOT 134
TABLE 93 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2020–2023 (USD MILLION) 134
TABLE 94 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 135
TABLE 95 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 135
TABLE 96 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 135
TABLE 97 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020–2023 (USD MILLION) 135
TABLE 98 NORTH AMERICA: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 136
13.2.1 US 136
13.2.1.1 Increasing adoption of text-to-speech and voice recognition technologies by major corporations to fuel market growth 136
13.2.2 CANADA 137
13.2.2.1 Commitment to providing accessible multilingual services across different sectors to drive market 137
13.2.3 MEXICO 137
13.2.3.1 Integration of text-to-speech technology into navigation and in-car entertainment systems to propel market 137
13.2.4 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN NORTH AMERICA 137
13.3 EUROPE 138
FIGURE 48 EUROPE: TEXT-TO-SPEECH MARKET SNAPSHOT 139
TABLE 99 EUROPE: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2020–2023 (USD MILLION) 140
TABLE 100 EUROPE: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 140
TABLE 101 EUROPE: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 140
TABLE 102 EUROPE: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 140
TABLE 103 EUROPE: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020–2023 (USD MILLION) 141
TABLE 104 EUROPE: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 141
13.3.1 GERMANY 141
13.3.1.1 Growing demand for natural and context-aware voice interactions to fuel market growth 141
13.3.2 UK 142
13.3.2.1 Embracing digital economy and innovative technologies backed by government initiatives to drive market 142
13.3.3 ITALY 142
13.3.3.1 Rising popularity of virtual assistants and navigation systems to foster market growth 142
13.3.4 FRANCE 143
13.3.4.1 Surge in initiatives promoting digital transformation to boost market growth 143
13.3.5 SPAIN 143
13.3.5.1 Rising integration of text-to-speech solutions with smart devices and virtual assistants to fuel market growth 143
13.3.6 REST OF EUROPE 143
13.3.7 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN EUROPE 144
13.4 ASIA PACIFIC 144
FIGURE 49 ASIA PACIFIC: TEXT-TO-SPEECH MARKET SNAPSHOT 145
TABLE 105 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2020–2023 (USD MILLION) 145
TABLE 106 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY COUNTRY, 2024–2029 (USD MILLION) 146
TABLE 107 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 146
TABLE 108 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 146
TABLE 109 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020–2023 (USD MILLION) 147
TABLE 110 ASIA PACIFIC: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 147
13.4.1 CHINA 147
13.4.1.1 Booming digital landscape and population growth to drive market 147
13.4.2 JAPAN 148
13.4.2.1 Rising adoption of text-to-speech technology to enhance user interfaces and create immersive experiences to contribute to market growth 148
13.4.3 SOUTH KOREA 148
13.4.3.1 Integration of text-to-speech technology with consumer electronics to foster market growth 148
13.4.4 INDIA 149
13.4.4.1 Higher linguistic diversity and rapid digital transformation to boost market growth 149
13.4.5 REST OF ASIA PACIFIC 149
13.4.6 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN ASIA PACIFIC 150
13.5 ROW 150
TABLE 111 ROW: TEXT-TO-SPEECH MARKET, BY REGION, 2020–2023 (USD MILLION) 150
TABLE 112 ROW: TEXT-TO-SPEECH MARKET, BY REGION, 2024–2029 (USD MILLION) 150
TABLE 113 ROW: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2020–2023 (USD MILLION) 151
TABLE 114 ROW: TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 151
TABLE 115 ROW: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2020–2023 (USD MILLION) 151
TABLE 116 ROW: TEXT-TO-SPEECH MARKET, BY VERTICAL, 2024–2029 (USD MILLION) 152
13.5.1 SOUTH AMERICA 152
13.5.1.1 Growing demand from consumer electronics industry and enterprises to support market growth 152
13.5.2 MIDDLE EAST & AFRICA 153
13.5.2.1 Rising demand for digital accessibility and Arabic language support in text-to-speech solutions to drive market 153
13.5.3 IMPACT OF RECESSION ON TEXT-TO-SPEECH MARKET IN ROW 153
14 COMPETITIVE LANDSCAPE 154
14.1 OVERVIEW 154
14.2 STRATEGIES ADOPTED BY KEY PLAYERS 154
TABLE 117 TEXT-TO-SPEECH MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, 2020–2023 154
14.2.1 PRODUCT/SERVICE PORTFOLIO 156
14.2.2 REGIONAL FOCUS 156
14.2.3 ORGANIC/INORGANIC GROWTH STRATEGIES 156
14.3 MARKET SHARE ANALYSIS 156
FIGURE 50 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2023 156
TABLE 118 TEXT-TO-SPEECH MARKET SHARE ANALYSIS, 2023 157
14.4 FIVE-YEAR COMPANY REVENUE ANALYSIS 158
FIGURE 51 REVENUE ANALYSIS OF KEY PLAYERS, 2018–2022 158
14.5 COMPANY EVALUATION MATRIX 159
14.5.1 STARS 159
14.5.2 EMERGING LEADERS 159
14.5.3 PERVASIVE PLAYERS 159
14.5.4 PARTICIPANTS 159
FIGURE 52 TEXT-TO-SPEECH MARKET: COMPANY EVALUATION MATRIX, 2023 160
14.5.5 COMPANY FOOTPRINT 160
TABLE 119 COMPANY FOOTPRINT, BY OFFERING 160
TABLE 120 COMPANY FOOTPRINT, BY DEPLOYMENT MODE 161
TABLE 121 COMPANY FOOTPRINT, BY VERTICAL 162
TABLE 122 COMPANY FOOTPRINT, BY REGION 163
TABLE 123 OVERALL COMPANY FOOTPRINT 164
14.6 START-UPS/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX 164
14.6.1 PROGRESSIVE COMPANIES 164
14.6.2 RESPONSIVE COMPANIES 165
14.6.3 DYNAMIC COMPANIES 165
14.6.4 STARTING BLOCKS 165
FIGURE 53 TEXT-TO-SPEECH MARKET: START-UPS/SMES EVALUATION MATRIX, 2023 165
14.6.5 COMPETITIVE BENCHMARKING 166
TABLE 124 TEXT-TO-SPEECH MARKET: LIST OF KEY START-UPS/SMES 166
TABLE 125 START-UPS/SMES FOOTPRINT, BY OFFERING 166
TABLE 126 START-UPS/SMES FOOTPRINT, BY DEPLOYMENT MODE 167
TABLE 127 START-UPS/SMES FOOTPRINT, BY VERTICAL 167
TABLE 128 START-UPS/SMES FOOTPRINT, BY REGION 168
14.7 COMPETITIVE SCENARIOS AND TRENDS 168
14.7.1 PRODUCT LAUNCHES 168
TABLE 129 TEXT-TO-SPEECH MARKET: PRODUCT LAUNCHES, 2019–2023 168
14.7.2 DEALS 171
TABLE 130 TEXT-TO-SPEECH MARKET: DEALS, 2020–2023 171
15 COMPANY PROFILES 173
(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 173
15.2 KEY PLAYERS 173
15.2.1 IBM 173
TABLE 131 IBM: BUSINESS OVERVIEW 174
FIGURE 54 IBM: COMPANY SNAPSHOT 174
TABLE 132 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 175
TABLE 133 IBM: PRODUCT LAUNCHES 175
TABLE 134 IBM: DEALS 176
15.2.2 MICROSOFT 177
TABLE 135 MICROSOFT: BUSINESS OVERVIEW 177
FIGURE 55 MICROSOFT: COMPANY SNAPSHOT 178
TABLE 136 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 178
TABLE 137 MICROSOFT: PRODUCT LAUNCHES 179
TABLE 138 MICROSOFT: DEALS 180
15.2.3 AMAZON.COM, INC. 181
TABLE 139 AMAZON.COM, INC.: BUSINESS OVERVIEW 181
FIGURE 56 AMAZON.COM, INC.: COMPANY SNAPSHOT 182
TABLE 140 AMAZON.COM, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 182
TABLE 141 AMAZON.COM, INC.: PRODUCT LAUNCHES 183
15.2.4 GOOGLE 184
TABLE 142 GOOGLE: BUSINESS OVERVIEW 184
FIGURE 57 GOOGLE: COMPANY SNAPSHOT 185
TABLE 143 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 185
TABLE 144 GOOGLE: PRODUCT LAUNCHES 186
15.2.5 BAIDU, INC. 188
TABLE 145 BAIDU, INC.: BUSINESS OVERVIEW 188
FIGURE 58 BAIDU, INC.: COMPANY SNAPSHOT 188
TABLE 146 BAIDU, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 189
TABLE 147 BAIDU, INC.: PRODUCT LAUNCHES 189
15.2.6 CEREPROC LTD. 191
TABLE 148 CEREPROC LTD.: BUSINESS OVERVIEW 191
TABLE 149 CEREPROC LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 191
TABLE 150 CEREPROC LTD.: PRODUCT LAUNCHES 192
TABLE 151 CEREPROC LTD.: DEALS 193
15.2.7 SENSORY INC. 195
TABLE 152 SENSORY INC.: BUSINESS OVERVIEW 195
TABLE 153 SENSORY INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 195
TABLE 154 SENSORY INC.: PRODUCT LAUNCHES 196
TABLE 155 SENSORY INC.: DEALS 196
15.2.8 IFLYTEK CORPORATION 198
TABLE 156 IFLYTEK CORPORATION: BUSINESS OVERVIEW 198
FIGURE 59 IFLYTEK CORPORATION: COMPANY SNAPSHOT 199
TABLE 157 IFLYTEK CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 199
TABLE 158 IFLYTEK CORPORATION: PRODUCT LAUNCHES 200
15.2.9 READSPEAKER B.V. 201
TABLE 159 READSPEAKER B.V.: BUSINESS OVERVIEW 201
TABLE 160 READSPEAKER B.V.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 201
TABLE 161 READSPEAKER B.V.: PRODUCT LAUNCHES 202
TABLE 162 READSPEAKER B.V.: DEALS 202
15.2.10 SESTEK 204
TABLE 163 SESTEK: BUSINESS OVERVIEW 204
TABLE 164 SESTEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED 204
TABLE 165 SESTEK: PRODUCT LAUNCHES 205
15.3 OTHER PLAYERS 206
15.3.1 LUMENVOX 206
15.3.2 ACAPELA GROUP 207
15.3.3 NEXTUP TECHNOLOGIES, LLC 208
15.3.4 TEXTSPEAK CORPORATION 209
15.3.5 VONAGE AMERICA, LLC 210
15.3.6 ELEVENLABS 210
15.3.7 RESEMBLE AI 211
15.3.8 LOVO, INC. 211
15.3.9 DEEPBRAIN AI 212
15.3.10 SYNTHESIA LIMITED 212
15.3.11 HEYGEN 213
15.3.12 COLOSSYAN INC. 213
15.3.13 MURF.AI 214
15.3.14 NUANCE COMMUNICATIONS, INC. 215
15.3.15 ISPEECH, INC. 216
*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 217
16.1 DISCUSSION GUIDE 217
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 221
16.3 CUSTOMIZATION OPTIONS 223
16.4 RELATED REPORTS 223
16.5 AUTHOR DETAILS 224
