Text-to-Speech Market with COVID-19 Impact By Offering (Software, Services), Vertical (Enterprise, Consumer Electronics, Education, Retail), Deployment, Language, Organization Size, Voice Type, and Geography-Forecast 2026
[197 Pages Report] The text-to-speech market was valued at USD 2.0 billion in 2020 and is estimated to reach USD 5.0 billion by 2026, registering a CAGR of 14.6% during the forecast period. The rising demand for handheld devices, increased government spending on education for differently-abled, the dependence of the growing elderly population on technology, and the rising number of people with different learning disabilities or learning styles are factors driving the growth of the text-to-speech market. However, the lack of prosody and pronunciation of naturally occurring speech may restrain the growth of the market during the review period.
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Market Dynamics
Drivers :Rising preference for handheld devices
Mobile devices have transformed from voice-calling devices to more advanced personal computing devices that allow users to perform activities such as browsing the internet, capturing photographs, language translation, navigation guidance, and managing entertainment and multimedia content. The growing need for automation and convenience is increasing the adoption of text-to-speech technology in everyday applications. The text-to-speech software is deployed in mobile devices, smartphones, portable devices and digital assistants, and other handheld devices. Text-to-speech-enabled devices can also eliminate the need for reading long user guides or manuals by providing users with verbal prompts and audio directions for operations. Many such advancements in smart devices are expected to increase the integration of text-to-speech technology into handheld devices.
Increased government spending on education of differently-abled students
The text-to-speech software allows people with visual impairment or reading disabilities to listen to written words on a computer or a mobile device. When the text-to-speech system is integrated with a screen reader, it helps a visually challenged user to interpret and perform computer operations with an audio interface. Thus, this system works as an assistive technology that helps these people take the benefits of information and communications technology (ICT). According to the US Department of Education, in April 2020, USD 4,00010,000 were awarded annually for students without disabilities and USD 10,00020,000 for students with disabilities, with the help of accessible technology, media services, educational materials, etc. In the US, the Individuals with Disabilities Education Act (IDEA) provides interactive software for students who are visually impaired.
Increasing number of people with different learning disabilities
Text-to-speech technology can help people with vision impairment and learning disabilities in several ways. People with dyslexia or reading disabilities face a huge problem while deciphering the text. The letters might not make sense to them and hence stay unknown. Text-to-speech technology can empower such individuals by allowing these texts to be converted into an auditory format and ease understanding. People with learning disabilities face the challenge of comprehending text and making sense of the content. This, in turn, hampers their development and knowledge processing skills. Text-to-speech technology will help such people and create a development opportunity in the text-to-speech market.
Restraints :Complexity in generating prosody and pronunciation of naturally occurring speech
One of the major limitations of speech synthesis is that it lacks the complexity of natural speech, such as the stress on a particular word and tone up/down. A large set of different rules and their exceptions are needed to create correct pronunciation for synthesized speech. Some languages have special features in terms of prosody and pronunciation, making speech synthesis more complex. The complexity in clear pronunciation, along with voice modification, is expected to limit the use of text-to-speech technology in various applications.
Services are projected to witness highest CAGR for the forecast period
Services are expected to hold a major share during the forecast period. Services play a vital role in the functionality of text-to-speech software. They are an integral step in deploying tools and are taken care of by solution, platform, and service providers. The major companies in various industries are adopting text-to-speech to deal with the rapidly increasing audio/video-based content. This is helping companies find new ways to tap the wealth of data to develop new products, services, and processes, thus gaining a competitive advantage.
Neural and Custom voice type to account for largest share of text-to-speech market during forecast period
The neural and custom voice type is expected to account for a larger market size during the forecast period owing to its ability to generate speech with humanlike intonation, engagement, and personalized user experience, which is expected to drive the adoption of neural and custom voice systems and software during the forecast period.
Cloud based deployment mode will have highest growth in coming years
The cloud segment, on the contrary, benefits organizations with increased scalability, speed, 24/7 service, and enhanced IT security. The growing adoption of SaaS applications by enterprises is generating huge growth prospects for cloud-based text-to-speech software. The cloud-based deployment mode is expected to account for larger market size and its market is growing at a higher CAGR. The COVID-19 crisis has also driven the growth of the market for cloud-based deployment mode due to its scalability, security, reliability, and cost-effectiveness.
APAC is attributed to grow at the highest CAGR in the text-to-speech market during ther forecast period (2021-2026)
APAC is witnessing increased traction for speech recognition solutions integrated with text-to-speech due to growing penetration of AI, analytics, and IoT devices in the region. This is creating a favorable market environment, and the region is witnessing rising adoption of voice-activated technology in the Asian markets, such as India, China, Indonesia, Australia, Japan, and Singapore. The countries are developing various favorable policies to increase AI penetration among enterprises for improving industry performance and customer experience. This has proliferated the use of Intelligent Virtual Assistant (IVA), chatbots, and smart speakers in the daily activities of people. In Japan and China, text-to-speech systems have been deployed at airports and ATMs. Other countries, such as Singapore, Hong Kong, Indonesia, and Malaysia, are looking forward to integrating new technologies into their businesses.
Key Market Players
The Text-to-Speech market was dominated by Nuance Communication (US), Microsoft Corporation (US), IBM Corporation (US), Google, Inc. (US) and Amazon.com (US)
Nuance Communications
Nuance Communications is a leading provider of voice recognition solutions and natural language understanding technologies for businesses and consumers globally. The company offers software solutions and applications along with support services and training. It offers customers high accuracy in automated speech recognition, capabilities for natural language understanding, dialog and information management, biometric speaker authentication, text-to-speech, and optical character recognition (OCR) capabilities. The companys solutions and technologies for the text-to-speech market are Conversational IVR, Nuance Vocalizer, Vocalizer for Embedded Solutions, Vocalizer Expressive Studio, and Loquendo TTS provide high-performance mixed-signal and standard product solutions.
Scope of the report
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Report Metric |
Details |
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Market size available for years |
20172026 |
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Base year |
2020 |
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Forecast period |
20212025 |
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Units |
Value USD Million |
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Segments covered |
Offering, Deployment mode, Voice type, Organization size, Language, and Vertical |
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Geographic regions covered |
North America, APAC, Europe, and RoW |
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Companies covered |
The companies covered in the text-to-speech market are Nuance Communication (US), Microsoft Corporation (US), IBM Corporation (US), Google, Inc. (US), Sensory Inc. (US), Amazon.Com (US), Readspeaker (Netherlands), LumenVox LLC (US), Acapela Group (France), CereProc (Scotland), SESTEK (Turkey) and iFlytek (China). Other key players in the text-to-speech market include TextSpeak (US), Nextup Technologies (US), iSpeech (US), Nexmo Inc. (US), Baidu, Inc. (China), Facebook Research (US), Govivace (US), and GL Communications (US). |
This report categorizes the text-to-speech market based on offering, deployment mode, voice type, organization size, language, and vertical and region.
Text-to Speech Market, By Component
- Software/Solution
- Services
- SAAS
- Support, Implementation and Consulting
Text-to Speech Market, By Deployment Mode
- Cloud based
- On-Premise
Text-to Speech Market, By Type
- Non-neural
- Neural and Custom
Text-to Speech Market, By Organization size
- Small and Medium Enterprise
- Large Enterprise
Text-to Speech Market, By Language
- English
- Spanish
- Hindi
- Chinese
- Arabic
- Others
Text-to Speech Market, By Vertical
- Introduction
- Consumer
- Automotive & Transportation
- Healthcare
- Education
- Assistant tool for visually impaired or disabilities (Dyslexic Reader)
- BFSI
- Retail
- Enterprise
- Travel and Hospitality
- Others (government and legal)
Geographic Analysis (Qualitative data on COVID-19 for all major geographies)
- Introduction
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe (RoE)
- Asia Pacific (APAC)
- China
- Japan
- South Korea
- India
- Rest of APAC (RoAPAC)
- Rest of the World (RoW)
- South America
- Middle East & Africa
Recent Developments
- In September 2020, Nuance Communications partnered with Rakuten Mobile, Inc. to add Nuance Intelligent Engagement AI Services to the Rakuten Communications Platform (RCP). Through this partnership, both the companies will be leveraging Conversational AI Services and Engagement AI Services. Also, Rakuten's native communication app based on Rich Communication Services (RCS) standards will be able to provide Rakuten Mobile customers with the ability to access self-service features by voice or by text using the Nuance Conversational IVR.
- In September 2019, Nuance Communications announced that the Nuance Intelligent Engagement Platform will expand its open, cloud-agnostic framework, adding new Intelligent Engagement Services and broadening back-end integration capabilities.
Frequently Asked Questions (FAQ):
Which are the major industry verticals of the text-to-speech market? How big is the opportunity for their growth in the developing economies in the coming years?
The major industry verticals of the text-to-speech market includes consumer electronics, healthcare and education. It is expected to boost the demand for text-to-speech leading to USD 5,000 million opportunity till 2026.
Which are the major companies in the text-to-speech market? What are their major strategies to strengthen their market presence?
The text-to-speech market was dominated by Nuance Communication (US), Microsoft Corporation (US), IBM Corporation (US), Google, Inc. (US), Amazon.Com (US), Readspeaker (Netherlands) and LumenVox LLC (US). The major strategies adopted by the top 5 players in the text-to-speech market included product launches and developments, collaborations and acquisitions.
Which are the leading countries in the text-to-speech market?
North America is the largest contributor to the text-to-speech market. This growth is attributed to the increasing adoption of advanced electronic devices such as smartphones, laptops, smart TVs, etc. The US has the highest penetration rate for the smartphone market. APAC on the other hand is expected to witness the highest CAGR which can be attributed to the growing number of technological advancements in countries, such as China, Japan, and India. The extensive adoption of voice-controlled connected devices and the rapid penetration of smart devices. The growing awareness regarding AI- and IoT-enabled devices is one of the key drivers for the growth of the text-to-speech market in Europe.
Which industry vertical is expected to witness significant demand for text-to-speech in the coming years?
The consumer electronics industry vertical is expected to account for the largest market size. During COVID-19, e-learning has offered a lucrative market for text-to-speech in the education vertical as well. For users with dyslexia, text-to-speech software provides significant support for hearing texts being read aloud in a natural-sounding voice. Apart from this, the connected car market is also driving the adoption of text-to-speech solutions in the automotive & transportation industry.
How will COVID-19 impact on the penetration of text-to-speech market?
The COVID-19 pandemic has brought an overall positive impact on the text-to-speech market. Text-to-speech software and systems providing the availability of different voices and languages are useful for improving the accessibility of digital content to global consumers in the choice of language that they want to consume. .
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- North America
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 24)
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 GEOGRAPHIC SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 29)
2.1 RESEARCH DATA
FIGURE 2 TEXT-TO-SPEECH MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.1.1 Major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Breakdown of primaries
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.3.1 Key industry insights
2.2 MARKET SIZE ESTIMATION
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: REVENUE OF MARKET PLAYERS
2.2.1 BOTTOM-UP APPROACH
FIGURE 4 TEXT-TO-SPEECH: BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
FIGURE 5 TEXT-TO-SPEECH: TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 6 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY (Page No. - 39)
FIGURE 7 SERVICES TO HOLD LARGER SHARE OF TEXT-TO-SPEECH MARKET, BY OFFERING, DURING FORECAST PERIOD
FIGURE 8 CLOUD BASED DEPLOYMENT MODE TO LEAD MARKET DURING FORECAST PERIOD
FIGURE 9 NEURAL AND CUSTOM SEGMENT TO HOLD MAJOR SHARE DURING FORECAST PERIOD
FIGURE 10 LARGE ENTERPRISES TO HOLD LARGER SHARE DURING FORECAST PERIOD
FIGURE 11 ENGLISH LANGUAGE TO HOLD LARGEST SHARE WHILE SPANISH TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 12 CONSUMER ELECTRONICS TO HOLD MAJOR SHARE WHILE MARKET FOR EDUCATION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 13 NORTH AMERICA HELD LARGEST SHARE OF TEXT-TO-SPEECH MARKET IN 2020
4 PREMIUM INSIGHTS (Page No. - 45)
4.1 MARKET OPPORTUNITIES IN TEXT-TO-SPEECH MARKET
FIGURE 14 MARKET TO EXHIBIT ATTRACTIVE GROWTH OPPORTUNITIES BETWEEN 2021 AND 2026
4.2 MARKET ANALYSIS, BY LANGUAGE
FIGURE 15 ENGLISH TO HOLD LEADING POSITION, IN TERMS OF SIZE, WHILE SPANISH TO WITNESS HIGHEST GROWTH RATE BETWEEN 2021 AND 2026
4.3 MARKET ANALYSIS, BY VERTICAL
FIGURE 16 CONSUMER ELECTRONICS TO HOLD LEADING POSITION WHILE EDUCATION TO WITNESS HIGHEST CAGR BETWEEN 2021 AND 2026
4.4 MARKET ANALYSIS, BY VOICE TYPE
FIGURE 17 NEURAL AND CUSTOM VOICE TYPE HELD LARGER MARKET SHARE IN 2021
4.5 MARKET SHARE, BY REGION
FIGURE 18 APAC TEND TO GROW WITH THE HIGHEST CAGR IN THE MARKET DURING THE FORECAST PERIOD 2021-2026
5 MARKET OVERVIEW (Page No. - 48)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 19 RISING DEMAND FOR HANDHELD DEVICES AND INCREASED GOVERNMENT SPENDING ON EDUCATION TO DRIVE GROWTH OF MARKET
5.2.1 DRIVERS
5.2.1.1 Rising preference for handheld devices
FIGURE 20 AVERAGE TIME SPENT IN US ON DIGITAL CONTENT, 2019
5.2.1.2 Increased government spending on education of differently-abled students
5.2.1.3 Dependence of growing elderly population on technology
FIGURE 21 NUMBER OF PERSONS AGED 60 YEARS OR OVER BY DEVELOPMENT GROUP, FROM 1980 TO 2050
5.2.1.4 Increasing number of people with different learning disabilities
5.2.2 RESTRAINTS
5.2.2.1 Complexity in generating prosody and pronunciation of naturally occurring speech
5.2.3 OPPORTUNITIES
5.2.3.1 Seamless communication between human beings and robots
5.2.3.2 Growing artificial intelligence market
5.2.3.3 Text-to-speech solutions for temporarily and permanently disabled students
5.2.3.4 Growing inclination toward cloud-based deployment mode
FIGURE 22 CLOUD REVENUE GROWTH: AWS, MICROSOFT AZURE, AND GOOGLE CLOUD
5.2.4 CHALLENGES
5.2.4.1 Creation of a generic acoustic database that covers language variations
5.2.4.2 Slow network speed in a few regions limits adoption of cloud-based text-to-speech services
5.3 SUPPLY CHAIN ANALYSIS
FIGURE 23 RESEARCH & DEVELOPMENT, COMPONENT PROVIDERS, AND SYSTEM INTEGRATORS CONTRIBUTE MAJOR VALUE TO MARKET
5.3.1 CORE INDUSTRY SEGMENTS
5.3.1.1 Research and product development
5.3.1.2 Manufacturers
5.3.1.3 System integrators
5.3.1.4 End users
5.4 ECOSYSTEM
TABLE 1 TEXT TO SPEECH, VALUE CHAIN
FIGURE 24 TEXT-TO-SPEECH MARKET ECOSYSTEM
5.5 PORTERS FIVE FORCES ANALYSIS
TABLE 2 IMPACT OF EACH FORCE ON MARKET
5.6 PRICING ANALYSIS
TABLE 3 PRICES OF VARIOUS TEXT-TO-SPEECH SOFTWARE OFFERED BY DIFFERENT COMPETITORS
FIGURE 25 TEXT-TO-SPEECH SOFTWARE BY NUMBER OF VOICES: AVERAGE SELLING PRICE ANALYSIS
FIGURE 26 TEXT-TO-SPEECH SOFTWARE: AVERAGE SELLING PRICE ANALYSIS
5.7 PATENTS ANALYSIS
TABLE 4 A FEW LATEST NOTICEABLE PATENTS RELATED TO TEXT-TO-SPEECH MARKET
5.8 TRADE ANALYSIS
TABLE 5 IMPORT DATA OF SOUND RECORDING OR SOUND REPRODUCING APPARATUS, BY COUNTRY, 20152019 (USD THOUSAND)
TABLE 6 EXPORT DATA OF SOUND RECORDING OR SOUND REPRODUCING APPARATUS, BY COUNTRY, 20152019 (USD THOUSAND)
5.9 TECHNOLOGY TRENDS
FIGURE 27 MAJOR TRENDS OBSERVED IN MARKET
5.9.1 ADOPTION OF TEXT-TO-SPEECH SOLUTIONS BY PEOPLE WITH LISTENING DISABILITIES OR LISTENING FATIGUE
5.9.2 ROLE OF AI IN TEXT-TO-SPEECH MARKET
5.10 REGULATORY IMPLICATIONS
5.10.1 AMERICANS WITH DISABILITIES ACT
5.10.2 OFFICE OF COMMUNICATIONS
5.10.3 POLISH CIVIL CODE
5.10.4 FEDERAL COMMUNICATIONS COMMISSION
5.10.5 GENERAL DATA PROTECTION REGULATION
5.11 IMPACT OF COVID-19 ON MARKET
FIGURE 28 PRE- AND POST-COVID-19 SCENARIO: TEXT-TO-SPEECH MARKET
5.11.1 PRE-COVID-19
5.11.2 POST-COVID-19
5.11.3 VERTICAL IMPACT
5.11.4 REGIONAL IMPACT
5.12 USE CASES
5.12.1 USE CASE: SCENARIO 1
5.12.2 USE CASE: SCENARIO 2
5.12.3 USE CASE: SCENARIO 3
5.12.4 USE CASE: SCENARIO 4
5.12.5 USE CASE: SCENARIO 5
6 TEXT-TO-SPEECH MARKET, BY OFFERING (Page No. - 73)
6.1 INTRODUCTION
FIGURE 29 SERVICES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
TABLE 7 MARKET SIZE, BY OFFERING, 20172020 (USD MILLION)
TABLE 8 MARKET SIZE, BY OFFERING, 20212026 (USD MILLION)
6.1.1 COVID-19 IMPACT ANALYSIS
6.2 SOFTWARE
6.2.1 GROWING INCLINATION TOWARD VOICE-BASED TECHNOLOGY TO SURGE DEMAND FOR TEXT-TO-SPEECH SOFTWARE
6.3 SERVICES
TABLE 9 SERVICES: MARKET SIZE, BY TYPE, 20172020 (USD MILLION)
TABLE 10 SERVICES: MARKET SIZE, BY TYPE, 20212026 (USD MILLION)
6.3.1 SOFTWARE-AS-A-SERVICE
6.3.1.1 SaaS market is expected to grow five times faster than on-premises software market
6.3.2 SUPPORT, IMPLEMENTATION & CONSULTING
6.3.2.1 Technicalities involved in implementing text-to-speech and growing deployment of text-to-speech software to boost demand for support services
7 TEXT-TO-SPEECH MARKET, BY DEPLOYMENT MODE (Page No. - 77)
7.1 INTRODUCTION
FIGURE 30 CLOUD BASED SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
TABLE 11 MARKET SIZE, BY DEPLOYMENT MODE, 20172020 (USD MILLION)
TABLE 12 MARKET SIZE, BY DEPLOYMENT MODE,20212026 (USD MILLION)
7.1.1 COVID-19 IMPACT ANALYSIS
7.2 ON PREMISES
7.2.1 DATA-SENSITIVE ORGANIZATIONS ARE PREFERRING ON-PREMISES DEPLOYMENT MODE FOR TEXT-TO-SPEECH SOFTWARE
TABLE 13 ON PREMISES: MARKET SIZE, BY ORGANIZATION SIZE, 20172020 (USD MILLION)
TABLE 14 ON PREMISES: MARKET SIZE, BY ORGANIZATION SIZE, 20212026 (USD MILLION)
7.3 CLOUD BASED
7.3.1 COST-EFFECTIVENESS AND SCALABILITY TO BOOST ADOPTION OF CLOUD-BASED TEXT-TO-SPEECH SOFTWARE
TABLE 15 CLOUD BASED: MARKET SIZE, BY ORGANIZATION SIZE, 20172020 (USD MILLION)
TABLE 16 CLOUD BASED: MARKET SIZE, BY ORGANIZATION SIZE, 20212026 (USD MILLION)
8 TEXT-TO-SPEECH MARKET, BY VOICE TYPE (Page No. - 81)
8.1 INTRODUCTION
FIGURE 31 MARKET FOR NEURAL AND CUSTOM VOICE TYPE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 17 MARKET, BY VOICE TYPE, 20172020 (USD MILLION)
TABLE 18 MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
8.1.1 COVID-19 IMPACT ANALYSIS
8.2 NEURAL AND CUSTOM VOICE
8.2.1 ABILITY TO CREATE UNIQUE CUSTOM VOICE PERSONA AND SYNTHESIS OF LIFELIKE VOICES IS DRIVING ADOPTION OF NEURAL VOICE SYSTEMS
TABLE 19 NEURAL AND CUSTOM VOICE TYPE: TEXT-TO-SPEECH MARKET SIZE, BY LANGUAGE, 20172020 (USD MILLION)
TABLE 20 NEURAL AND CUSTOM VOICE TYPE: MARKET SIZE, BY LANGUAGE, 20212026 (USD MILLION)
8.3 NON-NEURAL
8.3.1 NON-NEURAL VOICES ARE COMPARATIVELY LOWER IN PRICE BUT HAVE SIGNIFICANT CONTRIBUTION TO TEXT-TO-SPEECH MARKET
TABLE 21 NON-NEURAL VOICE TYPE: MARKET SIZE, BY LANGUAGE, 20172020 (USD MILLION)
TABLE 22 NON-NEURAL VOICE TYPE: MARKET SIZE, BY LANGUAGE, 20212026 (USD MILLION)
9 TEXT-TO-SPEECH MARKET, BY ORGANIZATION SIZE (Page No. - 86)
9.1 INTRODUCTION
FIGURE 32 SMALL AND MEDIUM-SIZED ENTERPRISES TO EXPERIENCE HIGHER CAGR DURING FORECAST PERIOD
TABLE 23 MARKET SIZE, BY ORGANIZATION SIZE, 20172020 (USD MILLION)
TABLE 24 MARKET SIZE, BY ORGANIZATION SIZE, 20212026 (USD MILLION)
9.1.1 COVID-19 IMPACT ANALYSIS
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
9.2.1 AVAILABILITY OF CLOUD-BASED COST-EFFECTIVE SOLUTIONS TO FUEL ADOPTION OF TEXT-TO-SPEECH TECHNOLOGY IN SMALL AND MEDIUM-SIZED ENTERPRISES
TABLE 25 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY DEPLOYMENT MODE, 20172020 (USD MILLION)
TABLE 26 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY DEPLOYMENT MODE, 20212026 (USD MILLION)
9.3 LARGE ENTERPRISES
9.3.1 INCREASING USE OF ADVANCED TECHNOLOGIES TO BOOST ADOPTION OF TEXT-TO-SPEECH IN LARGE ENTERPRISES
TABLE 27 LARGE ENTERPRISES: MARKET SIZE, BY DEPLOYMENT MODE, 20172020 (USD MILLION)
TABLE 28 LARGE ENTERPRISES: MARKET SIZE, BY DEPLOYMENT MODE, 20212026 (USD MILLION)
10 TEXT-TO-SPEECH MARKET, BY LANGUAGE (Page No. - 90)
10.1 INTRODUCTION
FIGURE 33 MARKET FOR SPANISH TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD WHILE ENGLISH HOLDS MAJOR SHARE OF MARKET
TABLE 29 MARKET, BY LANGUAGE, 20172020 (USD MILLION)
TABLE 30 MARKET, BY LANGUAGE, 20212026 (USD MILLION)
10.1.1 COVID-19 IMPACT ANALYSIS
10.2 ENGLISH
10.2.1 GROWING NUMBER OF ENGLISH SPEAKERS HAS LED TO SIGNIFICANT ADOPTION OF TEXT-TO-SPEECH SOFTWARE
TABLE 31 ENGLISH: MARKET, BY VOICE TYPE, 20172020 (USD MILLION)
TABLE 32 ENGLISH: MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
10.3 MANDARIN CHINESE
10.3.1 CHINESE SPEAKERS CONSIST SIGNIFICANT SHARE OF WORLDS INTERNET USERS
TABLE 33 MANDARIN CHINESE: MARKET, BY VOICE TYPE, 20172020 (USD MILLION)
TABLE 34 MANDARIN CHINESE: MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
10.4 HINDI
10.4.1 KEY PLAYERS INCLUDE HINDI INTO THEIR AVAILABILITY OF CUSTOM/STANDARD VOICES
TABLE 35 HINDI: MARKET, BY VOICE TYPE, 20172020 (USD MILLION)
TABLE 36 HINDI: MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
10.5 ARABIC
10.5.1 ARABIC SPEAKERS CONSIST SIGNIFICANT SHARE OF WORLDS INTERNET USERS, WHICH WOULD DRIVE MARKET GROWTH
TABLE 37 ARABIC: TEXT-TO-SPEECH MARKET, BY VOICE TYPE,20172020 (USD MILLION)
TABLE 38 ARABIC: MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
10.6 SPANISH
10.6.1 SPANISH IS BECOMING COMPULSORY SECOND LANGUAGE FOR BUSINESSES DUE TO INCREASING POPULATION AND ECONOMIC SUCCESS IN SPANISH-SPEAKING COUNTRIES
TABLE 39 SPANISH: MARKET, BY VOICE TYPE, 20172020 (USD MILLION)
TABLE 40 SPANISH: MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
10.7 OTHERS
TABLE 41 OTHERS: MARKET, BY VOICE TYPE, 20172020 (USD MILLION)
TABLE 42 OTHERS: MARKET, BY VOICE TYPE, 20212026 (USD MILLION)
11 TEXT-TO-SPEECH MARKET, BY VERTICAL (Page No. - 98)
11.1 INTRODUCTION
FIGURE 34 CONSUMER ELECTRONICS TO HOLD THE MAJOR SHARE BY VERTICAL WHILE EDUCATION TO GROW WITH THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 43 MARKET SIZE, BY VERTICAL, 20172020 (USD MILLION)
TABLE 44 MARKET SIZE, BY VERTICAL, 20212026 (USD MILLION)
11.1.1 COVID-19 IMPACT ANALYSIS
11.2 CONSUMER ELECTRONICS
11.2.1 INCREASED DEMAND FOR SMARTPHONES AND TELEVISIONS FOR PARTIALLY SIGHTED PEOPLE TO PROPEL MARKET GROWTH
TABLE 45 CONSUMER ELECTRONICS: MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 46 CONSUMER ELECTRONICS: MARKET SIZE, BY GEOGRAPHY, 20212026 (USD MILLION)
11.3 AUTOMOTIVE & TRANSPORTATION
11.3.1 TEXT-TO-SPEECH IS EXPECTED TO BECOME COMMODITY FEATURE IN CARS IN NEAR FUTURE
TABLE 47 AUTOMOTIVE & TRANSPORTATION: MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 48 AUTOMOTIVE & TRANSPORTATION: TEXT-TO-SPEECH MARKET SIZE, BY REGION, 20212026 (USD MILLION)
11.4 HEALTHCARE & LIFE SCIENCES
11.4.1 GROWING REGULATORY REQUIREMENTS AND NEED FOR DOCUMENTATION TO FUEL ADOPTION OF TEXT-TO-SPEECH IN HEALTHCARE
TABLE 49 HEALTHCARE & LIFE SCIENCES: MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 50 HEALTHCARE & LIFE SCIENCES: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
11.5 EDUCATION
11.5.1 TEXT-TO-SPEECH CAN ACT AS ASSISTANT TOOL FOR VISUALLY IMPAIRED OR PEOPLE WITH DISABILITIES (DYSLEXIC READERS)
TABLE 51 EDUCATION: MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 52 EDUCATION: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
TABLE 53 EDUCATION: TEXT-TO-SPEECH MARKET SIZE, BY SUB-APPLICATION, 20172020 (USD MILLION)
TABLE 54 EDUCATION: MARKET SIZE, BY SUB-APPLICATION, 20212026 (USD MILLION)
11.6 BANKING, FINANCIAL SERVICES, AND INSURANCE
11.6.1 RISING NEED FOR AUTOMATED CUSTOMER SERVICES AND QUERY RESOLVER TO FUEL ADOPTION OF TEXT-TO-SPEECH IN BFSI VERTICAL
TABLE 55 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 56 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
11.7 RETAIL
11.7.1 NEED TO DELIVER REAL-TIME CUSTOMER EXPERIENCE DRIVING ADOPTION OF TEXT-TO-SPEECH SOLUTIONS IN RETAIL AND E-COMMERCE
TABLE 57 RETAIL: MARKET SIZE, BY REGION,20172020 (USD MILLION)
TABLE 58 RETAIL: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
11.8 ENTERPRISES
11.8.1 THE ENTERPRISE VERTICAL HOLDS HIGH GROWTH POTENTIAL FOR TEXT-TO-SPEECH TECHNOLOGY BY IMPROVING BUSINESS PERFORMANCE AND EFFECTIVENESS
TABLE 59 ENTERPRISES: TEXT-TO-SPEECH MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 60 ENTERPRISES: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
11.9 TRAVEL AND HOSPITALITY
11.9.1 RISING COMPETITION AMONG PLAYERS TO DRIVE ADOPTION OF TEXT-TO-SPEECH IN TRAVEL AND HOSPITALITY SECTOR
TABLE 61 TRAVEL AND HOSPITALITY: MARKET SIZE, BY REGION, 20172020 (USD MILLION)
TABLE 62 TRAVEL AND HOSPITALITY: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
11.10 OTHERS
TABLE 63 OTHERS: MARKET SIZE, BY REGION,20172020 (USD MILLION)
TABLE 64 OTHERS: MARKET SIZE, BY REGION, 20212026 (USD MILLION)
12 TEXT-TO-SPEECH MARKET, BY REGION (Page No. - 110)
12.1 INTRODUCTION
FIGURE 35 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN TEXT-TO-SPEECH MARKET DURING FORECAST PERIOD
TABLE 65 MARKET, BY REGION, 20172020 (USD MILLION)
TABLE 66 MARKET, BY REGION, 20212026 (USD MILLION)
12.1.1 COVID-19 IMPACT ANALYSIS
12.2 NORTH AMERICA
FIGURE 36 NORTH AMERICA MARKET: SNAPSHOT
TABLE 67 MARKET IN NORTH AMERICA, BY COUNTRY, 20172020 (USD MILLION)
TABLE 68 MARKET IN NORTH AMERICA, BY COUNTRY, 20212026 (USD MILLION)
TABLE 69 MARKET IN NORTH AMERICA, BY VERTICAL, 20172020 (USD MILLION)
TABLE 70 TEXT-TO-SPEECH MARKET IN NORTH AMERICA, BY VERTICAL, 20212026 (USD MILLION)
TABLE 71 ON PREMISES: MARKET SIZE IN NORTH AMERICA, BY COUNTRY, 20172020 (USD MILLION)
TABLE 72 ON PREMISES: MARKET SIZE IN NORTH AMERICA, BY COUNTRY, 20212026 (USD MILLION)
TABLE 73 CLOUD BASED: MARKET SIZE IN NORTH AMERICA, BY COUNTRY, 20172020 (USD MILLION)
TABLE 74 CLOUD BASED: MARKET SIZE IN NORTH AMERICA, BY COUNTRY, 20212026 (USD MILLION)
12.2.1 US
12.2.1.1 Technological advancements and infrastructure development to fuel adoption of text-to-speech in US
12.2.2 CANADA
12.2.2.1 Increasing R&D to boost growth of text-to-speech market in Canada
12.2.3 MEXICO
12.2.3.1 Developments in IVR, chatbots, and customer self-service capabilities to drive growth of text-to-speech market in Mexico
12.3 EUROPE
FIGURE 37 EUROPE MARKET: SNAPSHOT
TABLE 75 TEXT-TO-SPEECH MARKET IN EUROPE, BY COUNTRY, 20172020 (USD MILLION)
TABLE 76 MARKET IN EUROPE, BY COUNTRY, 20212026 (USD MILLION)
TABLE 77 MARKET IN EUROPE, BY VERTICAL, 20172020 (USD MILLION)
TABLE 78 MARKET IN EUROPE, BY VERTICAL, 20212026 (USD MILLION)
TABLE 79 ON PREMISES: MARKET SIZE IN EUROPE, BY COUNTRY, 20172020 (USD MILLION)
TABLE 80 ON PREMISES: MARKET SIZE IN EUROPE, BY COUNTRY, 20212026 (USD MILLION)
TABLE 81 CLOUD BASED: MARKET SIZE IN EUROPE, BY COUNTRY, 20172020 (USD MILLION)
TABLE 82 CLOUD BASED: MARKET SIZE IN EUROPE, BY COUNTRY, 20212026 (USD MILLION)
12.3.1 GERMANY
12.3.1.1 Government initiatives to increase adoption of AI and interest among enterprises to offer personalized customer services driving growth of text-to-speech market in Germany
12.3.2 UK
12.3.2.1 Increasing focus on automating customer services to boost adoption of text-to-speech in UK
12.3.3 FRANCE
12.3.3.1 Ongoing efforts from private companies and institutions to boost growth of text-to-speech market in France
12.3.4 ITALY
12.3.4.1 Increasing focus on adoption of AI and related digital technologies to create growth opportunities for text-to-speech market
12.3.5 REST OF EUROPE
12.4 ASIA PACIFIC
FIGURE 38 APAC MARKET: SNAPSHOT
TABLE 83 MARKET IN ASIA PACIFIC, BY COUNTRY, 20172020 (USD MILLION)
TABLE 84 MARKET IN ASIA PACIFIC, BY COUNTRY, 20212026 (USD MILLION)
TABLE 85 MARKET IN ASIA PACIFIC, BY VERTICAL, 20172020 (USD MILLION)
TABLE 86 MARKET IN ASIA PACIFIC, BY VERTICAL, 20212026 (USD MILLION)
TABLE 87 ON PREMISES: MARKET SIZE IN APAC, BY COUNTRY, 20172020 (USD MILLION)
TABLE 88 ON PREMISES: MARKET SIZE IN APAC, BY COUNTRY, 20212026 (USD MILLION)
TABLE 89 CLOUD BASED: MARKET SIZE IN APAC, BY COUNTRY, 20172020 (USD MILLION)
TABLE 90 CLOUD BASED: TEXT-TO-SPEECH MARKET SIZE IN APAC, BY COUNTRY, 20212026 (USD MILLION)
12.4.1 CHINA
12.4.1.1 Increasing need for automation across healthcare institutions and BFSI organizations to drive growth of text-to-speech market in China
12.4.2 JAPAN
12.4.2.1 Increasing use of IVA and chatbots in telecommunications and retail industries to drive demand for text-to-speech technology in Japan
12.4.3 SOUTH KOREA
12.4.3.1 Increasing investments and support in R&D to fuel adoption of text-to-speech technology in South Korea
12.4.4 INDIA
12.4.4.1 Growing investments by industry players in AI technology to drive growth of text-to-speech market in India
12.4.5 REST OF ASIA PACIFIC
12.5 REST OF THE WORLD
TABLE 91 MARKET IN ROW, BY REGION, 20172020 (USD MILLION)
TABLE 92 MARKET IN ROW, BY REGION, 20212026 (USD MILLION)
TABLE 93 MARKET IN ROW, BY VERTICAL, 20172020 (USD MILLION)
TABLE 94 TEXT-TO-SPEECH MARKET IN ROW, BY VERTICAL, 20212026 (USD MILLION)
TABLE 95 ON PREMISES: MARKET SIZE IN ROW, BY REGION, 20172020 (USD MILLION)
TABLE 96 ON PREMISES: MARKET SIZE IN ROW, BY REGION, 20212026 (USD MILLION)
TABLE 97 CLOUD BASED: MARKET SIZE IN ROW, BY REGION, 20172020 (USD MILLION)
TABLE 98 CLOUD BASED: MARKET SIZE IN ROW, BY REGION, 20212026 (USD MILLION)
12.5.1 LATIN AMERICA
12.5.1.1 Latin America has witnessed growth in text-to-speech market due to favorable government support, increased IT spending, and delivery of customer-specific solutions
12.5.2 MIDDLE EAST
12.5.2.1 Government regulations and increased penetration of mobile devices to carry out different operations driving growth of text-to-speech market in Middle East
12.5.3 AFRICA
12.5.3.1 Increasing investments in technologies such as cloud, analytics, and information security to boost growth of market in Africa
13 COMPETITIVE LANDSCAPE (Page No. - 135)
13.1 INTRODUCTION
FIGURE 39 COMPANIES ADOPTED PRODUCT LAUNCHES/DEVELOPMENTS, COLLABORATIONS, AND ACQUISITIONS AS KEY GROWTH STRATEGIES FROM 2017 TO 2020
13.2 REVENUE ANALYSIS OF TOP FIVE PLAYERS
TABLE 99 TOP FIVE PLAYERS IN MARKET, 20162020, (USD BILLION)
13.3 MARKET SHARE ANALYSIS, 2020
FIGURE 40 SHARE OF MAJOR PLAYERS IN MARKET, 2020
TABLE 100 TEXT-TO-SPEECH: DEGREE OF COMPETITION
13.4 RANKING ANALYSIS OF KEY PLAYERS IN MARKET
FIGURE 41 TEXT-TO-SPEECH MARKET RANKING, 2020
13.5 COMPANY EVALUATION QUADRANT
13.5.1 STAR
13.5.2 PERVASIVE
13.5.3 EMERGING LEADER
13.5.4 PARTICIPANT
FIGURE 42 MARKET: COMPANY EVALUATION QUADRANT, 2020
13.6 STARTUP/SME EVALUATION MATRIX
13.6.1 PROGRESSIVE COMPANIES
13.6.2 RESPONSIVE COMPANIES
13.6.3 DYNAMIC COMPANIES
13.6.4 STARTING BLOCKS
FIGURE 43 TEXT-TO-SPEECH: START-UP/SME EVALUATION MATRIX, 2020
13.7 COMPETITIVE SCENARIO
FIGURE 44 MARKET EVALUATION FRAMEWORK: PRODUCT LAUNCHES/DEVELOPMENTS, COLLABORATIONS, AND ACQUISITIONS HAVE BEEN KEY GROWTH STRATEGIES ADOPTED BY MARKET PLAYERS FROM 2017 TO 2020
13.8 COMPETITIVE SITUATIONS AND TRENDS
TABLE 101 MARKET: PRODUCT LAUNCHES, 20172020
TABLE 102 MARKET: COLLABORATIONS, 20172020
13.8.1 OTHERS
TABLE 103 TEXT-TO-SPEECH MARKET: OTHERS, 20172020
14 COMPANY PROFILES (Page No. - 151)
14.1 INTRODUCTION
(Business Overview, Products Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
14.2 KEY PLAYERS
14.2.1 NUANCE COMMUNICATIONS
FIGURE 45 NUANCE COMMUNICATIONS: COMPANY SNAPSHOT
14.2.2 MICROSOFT CORPORATION
FIGURE 46 MICROSOFT CORPORATION: COMPANY SNAPSHOT
14.2.3 AMAZON.COM INC.
FIGURE 47 AMAZON.COM INC.: COMPANY SNAPSHOT
14.2.4 GOOGLE
FIGURE 48 GOOGLE: COMPANY SNAPSHOT
14.2.5 IBM
FIGURE 49 IBM: COMPANY SNAPSHOT
14.2.6 SENSORY INC.
14.2.7 READSPEAKER
14.2.8 LUMENVOX LLC.
14.2.9 ACAPELA GROUP
14.2.10 CEREPROC
14.2.11 SPEECH ENABLED SOFTWARE TECHNOLOGIES (SESTEK)
14.2.12 IFLYTEK
14.3 OTHER COMPANY PROFILES
14.3.1 TEXTSPEAK
14.3.2 NEXTUP TECHNOLOGIES
14.3.3 ISPEECH
14.3.4 NEXMO INC.
14.3.5 BAIDU, INC.
14.3.6 FACEBOOK RESEARCH
14.3.7 GOVIVACE
14.3.8 GL COMMUNICATIONS
*Details on Business Overview, Products 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.
15 APPENDIX (Page No. - 190)
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL
15.3 AVAILABLE CUSTOMIZATIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
The study involved 4 major activities in estimating the current size of the text-to-speech market. Exhaustive secondary research has been conducted to collect information about the market, the peer market, and the parent market. Validating findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size. After that, market breakdown and data triangulation methods have been used to estimate the market size of segments and subsegments.
Secondary Research
The research methodology used to estimate and forecast the text-to-speech market begins with capturing the data on revenues of the key vendors in the market through secondary research. This study involves the use of extensive secondary sources, directories, and databases, such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource, to identify and collect information useful for the technical and commercial study of the text-to-speech market. Secondary sources also include annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles from recognized authors; directories; and databases. Secondary research has been mainly done to obtain key information about the industrys supply chain, markets value chain, total pool of key players, market classification and segmentation according to industry trends, geographic markets, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain the qualitative and quantitative information relevant to the text-to-speech market. Primary sources from the supply side include experts such as CEOs, vice presidents, marketing directors, technology and innovation directors, application developers, application users, and related executives from various key companies and organizations operating in the ecosystem of the text-to-speech market.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches have been used to estimate and validate the overall size of the text-to-speech market. These methods have also been used extensively to estimate the size of various market subsegments. The research methodology used to estimate the market size includes the following:
- Key players in major applications and markets have been identified through extensive secondary research.
- The industrys supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends from both the demand and supply sides.
Report Objectives
- To define, describe, and forecast the text-to-speech market based on offering, deployment mode, voice type, organization size, language, and vertical
- To forecast the market size of the various segments with respect to four main regionsNorth America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyze key trends related to offerings, voice types, and verticals that shape and influence the market
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To strategically profile key players and comprehensively analyze their core competencies2, along with detailing the competitive landscape for market leaders
- To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers and acquisitions, new product launches, and research and development in the text-to-speech market
- To analyze the impact of COVID-19 on the text-to-speech market through secondary and primary research for both pre- and post-COVID-19 scenarios
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the companys specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Get in-depth analysis of the COVID-19 impact on the Text-to-Speech Market
Benchmarking the rapid strategy shifts of the Top 100 companies in the Text-to-Speech Market
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- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the Text-to-Speech Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
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Growth opportunities and latent adjacency in Text-to-Speech Market