Definition:
Speech recognition, as a part of computer vision, focuses on converting spoken language into written text and/or commands. It involves the use of algorithms and machine learning models to analyze and interpret audio signals, recognizing and transcribing the spoken words into textual form. Speech recognition systems utilize techniques such as acoustic modeling, language modeling, and neural networks to accurately convert spoken language into written text. This technology has widespread applications, including voice assistants, dictation software, transcription services, call center automation, and hands-free control of devices, facilitating natural and efficient human-machine communication through spoken language.
Additional Information:
The market comprises two key performance indicators: market sizes and market sizes by industry. Market sizes are generated by the funding amount of Computer Vision companies. Key players of the market include companies such as Nvidia, Intel or IBM.
For more information on the data displayed, use the info button right next to the boxes.
Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
Most recent update: Mar 2024
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
The Speech Recognition market in Thailand is rapidly expanding, fueled by the increasing demand for digital solutions, growing awareness of health, and the ease of access to online services. Similarly, the Artificial Intelligence market is experiencing remarkable growth, driven by advancements in computer vision technology. These markets are expected to continue growing at a considerable rate due to the high demand for intelligent and efficient healthcare solutions.
Customer preferences: As the use of voice assistants and virtual assistants becomes more widespread, the demand for speech recognition technology in Thailand is on the rise. This is particularly true in the healthcare sector, where patients are increasingly using speech recognition software to communicate with their doctors and access medical information. This shift towards digital communication and self-service is driven by the growing preference for convenience and efficiency in a fast-paced society. Additionally, with an aging population in Thailand, there is a growing need for speech recognition technology to assist with elder care and improve accessibility for individuals with disabilities. These factors are contributing to the rapid growth of the Speech Recognition Market within the Computer Vision Market of the Artificial Intelligence Market in Thailand.
Trends in the market: In Thailand, the Speech Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for voice-enabled virtual assistants. This trend is driven by the increasing adoption of smart home devices and the integration of voice recognition technology in smartphones. This trajectory is expected to continue as more industries, such as healthcare and banking, incorporate speech recognition in their services. This presents significant opportunities for industry stakeholders, including improved customer experience and increased efficiency. However, there may also be potential implications for data privacy and security, as well as ethical considerations in the development and use of speech recognition technology.
Local special circumstances: In Thailand, the Speech Recognition Market within the Computer Vision Market is poised for significant growth due to the country's fast-developing technology infrastructure and the government's initiatives to promote AI adoption. The market is also influenced by the unique cultural preference for voice-based interactions, leading to a high demand for speech recognition technology. Additionally, the growing tourism industry in Thailand has created a demand for multilingual speech recognition solutions to cater to international visitors. These local factors contribute to the dynamic growth of the Speech Recognition Market in Thailand.
Underlying macroeconomic factors: The Speech Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Thailand is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investment in research and development. The country's strong economic growth, favorable regulatory environment, and growing digital infrastructure are creating a conducive market for AI-based solutions. Additionally, the rising demand for automation and digitization across various industries is fueling the adoption of speech recognition technology in Thailand. Furthermore, the increasing focus on improving customer experience and streamlining business operations is also driving the growth of the Speech Recognition Market in the country.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2024
Source: Statista Market Insights
Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.
Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.
Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.
Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.
Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights