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.
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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 2025
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
Source: Statista Market Insights
The Speech Recognition market in South Korea is witnessing considerable growth due to the adoption of digital technologies and increasing awareness about health. The convenience of online services is also driving this growth in the Artificial Intelligence market, especially in Computer Vision. This trend is expected to continue, fueled by the country's advanced technology and support for innovation.
Customer preferences: The advent of virtual assistants and smart home devices has resulted in a growing demand for voice recognition technology in South Korea. This trend is fueled by the country's aging population and the need for easy-to-use interfaces. Additionally, there is a rising preference for voice-activated controls among tech-savvy consumers, who value convenience and efficiency. As a result, the Speech Recognition Market is expected to witness significant growth in the coming years.
Trends in the market: In South Korea, the Speech Recognition Market within the Computer Vision Market of the Artificial Intelligence Market is experiencing a surge in demand for voice-enabled virtual assistants in various industries, such as healthcare and retail. This trend is driven by increasing adoption of smart home devices and rising demand for contactless interactions. The trajectory of this trend points towards a more seamless integration of voice technology into everyday life, with potential implications for industry stakeholders in terms of improved customer experience and cost savings.
Local special circumstances: In South Korea, the Speech Recognition Market within the Computer Vision Market of the Artificial Intelligence Market is experiencing rapid growth due to the country's advanced technology infrastructure and high adoption rate of digital services. Additionally, the government's strong support for AI research and development has led to the emergence of innovative speech recognition solutions. Furthermore, South Korea's aging population and high demand for healthcare services have also contributed to the growth of speech recognition in the medical sector.
Underlying macroeconomic factors: The Speech Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in South Korea is heavily influenced by macroeconomic factors such as government initiatives to promote AI technology, investment in research and development, and the presence of major technology companies. South Korea's strong economic growth, favorable regulatory environment, and high level of technological advancement contribute to the overall success of the market. Additionally, the increasing demand for AI-powered solutions in healthcare, retail, and automotive industries is driving the growth of the Speech Recognition Market in South Korea.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Mar 2025
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: Jan 2025
Source: Statista Market Insights
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