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Global Text-to-Speech Market to reach USD XX billion by 2028.

Global Text-to-Speech Market Size study, By Component (Software/Solution, Services), By Deployment Mode (Cloud based, On-Premise), By Type (Non-neural, Neural and Custom), By Vertical (Consumer, Automotive & Transportation, Healthcare, Education, BFSI, Retail, Enterprise, Travel and Hospitality, Others), and Regional Forecasts 2022-2028

Product Code: ICTICTS-82663436
Publish Date: 10-05-2022
Page: 200

Global Text-to-Speech Market is valued approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028.

Text-to-speech is a variety of services that comprehends natural language and creates audio output full of cadence and intonation. Text-to-speech is used to convert the written content of any mobile apps, online documents, e-books, website, and e-learning tools to audio output. The increasing government expenditure on education of differently-abled students, the rising number of people with different learning disabilities, coupled with surging adoption of various handheld devices like smartphones are the chief driving factors for the global market growth. For instance, according to Statista, there were nearly 6,259 million smartphone subscriptions were accounted for globally. Also, the amount is anticipated to grow to 7,690 million smartphone subscriptions by 2027. Consequentially, rapid penetration of smartphones is likely to fuel the demand for text-to-speech, which, in turn, impels the market growth around the world. However, the creation of a generic acoustic database that includes language variations and complexity in generating prosody and pronunciation of naturally occurring speech impedes the growth of the market over the forecast period of 2022-2028. Also, seamless communication between human beings and robots and a rising inclination toward cloud-based deployment mode are anticipated to act as a catalyzing factor for the market demand during the forecast period.

The key regions considered for the global Text-to-Speech Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the growing spending on technological development by the leading market players and increasing AI penetration among enterprises for boosting customer experience and industry performance. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as increasing adoption of AI, analytics, and IoT devices, as well as growing awareness for voice-activated technology in the countries like Australia, India, Indonesia, China, Japan, and Singapore, would create lucrative growth prospects for the Text-to-Speech Market across the Asia-Pacific region.
Major market players included in this report are:
Nuance Communication, Inc
Microsoft Corporation
IBM Corporation
Google, Inc.
Sensory Inc.
Amazon.Com, Inc.
LumenVox LLC
Acapela Group
Nextup Technologies Pvt. Ltd.
Nexmo Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Software/Solution
Services
By Deployment Mode
Cloud based
On-Premise
By Type:
Non-neural
Neural and Custom
By Vertical:
Consumer
Automotive & Transportation
Healthcare
Education
BFSI
Retail
Enterprise
Travel and Hospitality
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Text-to-Speech Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Global Text-to-Speech Market, by Region, 2020-2028 (USD Billion)
1.2.2. Global Text-to-Speech Market, by Component, 2020-2028 (USD Billion)
1.2.3. Global Text-to-Speech Market, by Deployment Mode, 2020-2028 (USD Billion)
1.2.4. Global Text-to-Speech Market, by Type, 2020-2028 (USD Billion)
1.2.5. Global Text-to-Speech Market, by Vertical, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Text-to-Speech Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Text-to-Speech Market Dynamics
3.1. Text-to-Speech Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Growing government spending on education of differently-abled students
3.1.1.2. Rising preference for handheld devices
3.1.2. Market Challenges
3.1.2.1. Creation of a generic acoustic database that includes language variations
3.1.2.2. Complexity in generating prosody and pronunciation of naturally occurring speech
3.1.3. Market Opportunities
3.1.3.1. Seamless communication between human beings and robots
3.1.3.2. Rising inclination toward cloud-based deployment mode
Chapter 4. Global Text-to-Speech Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Text-to-Speech Market, by Component
6.1. Market Snapshot
6.2. Global Text-to-Speech Market by Component, Performance – Potential Analysis
6.3. Global Text-to-Speech Market Estimates & Forecasts by Component 2018-2028 (USD Billion)
6.4. Text-to-Speech Market, Sub Segment Analysis
6.4.1. Software/Solution
6.4.2. Services
Chapter 7. Global Text-to-Speech Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Text-to-Speech Market by Deployment Mode, Performance – Potential Analysis
7.3. Global Text-to-Speech Market Estimates & Forecasts by Deployment Mode 2018-2028 (USD Billion)
7.4. Text-to-Speech Market, Sub Segment Analysis
7.4.1. Cloud based
7.4.2. On-Premise
Chapter 8. Global Text-to-Speech Market, by Type
8.1. Market Snapshot
8.2. Global Text-to-Speech Market by Type, Performance – Potential Analysis
8.3. Global Text-to-Speech Market Estimates & Forecasts by Type 2018-2028 (USD Billion)
8.4. Text-to-Speech Market, Sub Segment Analysis
8.4.1. Non-neural
8.4.2. Neural and Custom
Chapter 9. Global Text-to-Speech Market, by Vertical
9.1. Market Snapshot
9.2. Global Text-to-Speech Market by Vertical, Performance – Potential Analysis
9.3. Global Text-to-Speech Market Estimates & Forecasts by Vertical 2018-2028 (USD Billion)
9.4. Text-to-Speech Market, Sub Segment Analysis
9.4.1. Consumer
9.4.2. Automotive & Transportation
9.4.3. Healthcare
9.4.4. Education
9.4.5. BFSI
9.4.6. Retail
9.4.7. Enterprise
9.4.8. Travel and Hospitality
9.4.9. Others
Chapter 10. Global Text-to-Speech Market, Regional Analysis
10.1. Text-to-Speech Market, Regional Market Snapshot
10.2. North America Text-to-Speech Market
10.2.1. U.S. Text-to-Speech Market
10.2.1.1. Component estimates & forecasts, 2018-2028
10.2.1.2. Deployment Mode estimates & forecasts, 2018-2028
10.2.1.3. Type estimates & forecasts, 2018-2028
10.2.1.4. Vertical estimates & forecasts, 2018-2028
10.2.2. Canada Text-to-Speech Market
10.3. Europe Text-to-Speech Market Snapshot
10.3.1. U.K. Text-to-Speech Market
10.3.2. Germany Text-to-Speech Market
10.3.3. France Text-to-Speech Market
10.3.4. Spain Text-to-Speech Market
10.3.5. Italy Text-to-Speech Market
10.3.6. Rest of Europe Text-to-Speech Market
10.4. Asia-Pacific Text-to-Speech Market Snapshot
10.4.1. China Text-to-Speech Market
10.4.2. India Text-to-Speech Market
10.4.3. Japan Text-to-Speech Market
10.4.4. Australia Text-to-Speech Market
10.4.5. South Korea Text-to-Speech Market
10.4.6. Rest of Asia Pacific Text-to-Speech Market
10.5. Latin America Text-to-Speech Market Snapshot
10.5.1. Brazil Text-to-Speech Market
10.5.2. Mexico Text-to-Speech Market
10.6. Rest of The World Text-to-Speech Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Nuance Communication, Inc
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Microsoft Corporation
11.2.3. IBM Corporation
11.2.4. Google, Inc.
11.2.5. Sensory Inc.
11.2.6. Amazon.Com, Inc.
11.2.7. LumenVox LLC
11.2.8. Acapela Group
11.2.9. Nextup Technologies Pvt. Ltd.
11.2.10. Nexmo Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

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Data Collection:
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Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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