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 Artificial Intelligence Market in CIS nan has seen considerable growth, propelled by factors such as increasing adoption of speech recognition and computer vision technologies, growing awareness about health, and the convenience of online services. This growth rate has been impacted by the demand for advanced AI solutions in the region.
Customer preferences: The Speech Recognition Market within the Computer Vision Market of the Artificial Intelligence Market is witnessing a growing demand for automated customer service solutions. This trend is driven by the increasing need for efficiency and cost savings in the customer service sector, as well as the rising popularity of virtual assistants and chatbots. Additionally, the shift towards remote work and online shopping has accelerated the adoption of speech recognition technology for voice-based interactions.
Trends in the market: In the Computer Vision Market within the Artificial Intelligence Market, there is a growing trend of integrating speech recognition technology into various applications, such as virtual assistants, smart home devices, and healthcare services. This trend is driven by the increasing demand for hands-free and natural language interaction with technology. Furthermore, the development of advanced deep learning algorithms has significantly improved the accuracy and performance of speech recognition systems. These trends have significant implications for industry stakeholders, as they open up new opportunities for creating innovative and user-friendly products and services. However, they also bring challenges in terms of data privacy and security, as well as the need for continuous advancements in speech recognition technology to meet evolving consumer expectations.
Local special circumstances: In the CIS region, the Speech Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is influenced by the high demand for advanced technology solutions in industries such as healthcare, retail, and finance. Additionally, the region's strong focus on research and development in the field of AI has led to a competitive market landscape. Moreover, the increasing adoption of AI-powered virtual assistants and chatbots for customer service and support in the region is driving the growth of the Speech Recognition Market.
Underlying macroeconomic factors: The growth of the Speech Recognition Market within the Computer Vision Market of the Artificial Intelligence Market is also influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable government policies and strong investment in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Additionally, the increasing adoption of AI in various industries and the growing demand for automation to improve efficiency are driving the demand for speech recognition solutions.
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