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: 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 within the Artificial Intelligence market is seeing significant growth globally, boosted by factors like rising use of digital technologies, increasing health consciousness, and the convenience of online health services. The market's considerable growth rate is influenced by various factors.
Customer preferences: As technology continues to advance, consumers are increasingly relying on speech recognition capabilities for convenience and efficiency. This trend is particularly evident in the healthcare industry, where the use of voice-enabled systems is gaining traction for remote patient monitoring and virtual consultations. Additionally, the integration of speech recognition with other technologies, such as natural language processing, is further enhancing the accuracy and usability of these solutions. These developments reflect a growing preference for seamless and personalized interactions with technology.
Trends in the market: In the global Speech Recognition Market of the Computer Vision Market within the Artificial Intelligence Market, there is a growing trend towards the integration of natural language processing technology. This allows for more accurate and efficient voice commands, making devices and applications more user-friendly. Additionally, there is increased adoption of speech recognition technology in industries such as healthcare, finance, and retail, driving market growth. Furthermore, advancements in deep learning algorithms are improving the accuracy and reliability of speech recognition, making it a valuable tool for businesses and consumers alike.
Local special circumstances: In China, the Speech Recognition Market within the Computer Vision Market is experiencing rapid growth due to the country's large population and high demand for smart devices. Additionally, the Chinese government's focus on developing artificial intelligence technology has created a favorable environment for the market. In Japan, the market is driven by the aging population and the need for speech recognition technology in healthcare and senior care facilities. This has led to a rise in the adoption of voice-controlled devices and virtual assistants in the country.
Underlying macroeconomic factors: The Speech Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is heavily influenced by macroeconomic factors such as advancements in technology, government regulations, and investments in infrastructure. Countries with supportive regulatory environments and strong investments in AI technologies are experiencing rapid market growth compared to regions with regulatory barriers and limited funding. Moreover, the rising prevalence of chronic diseases and aging populations globally are fueling the demand for AI solutions to enhance healthcare accessibility and outcomes.
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