Definition:
Image recognition, as part of computer vision, refers to the technology that enables machines to analyze and understand visual data such as images and/or video frames. It involves the use of algorithms and deep learning models to identify objects, scenes, patterns, and other visual elements within images. By extracting features and patterns from the input data, image recognition systems can classify and categorize images based on the content within these images. The applications for this technology are diverse and broad and include the areas of object detection, image classification, medical imaging, autonomous vehicles, and augmented reality and make it possible for machines to comprehend and interpret visual information much like humans do.
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, and 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 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 Vietnam nan market for Image Recognition in the Computer Vision sector of Artificial Intelligence is witnessing subdued growth due to factors such as slow adoption of digital technologies and low health awareness among consumers. Online health services, however, offer convenience and may drive growth in the future.
Customer preferences: As the use of social media continues to rise in Vietnam, consumers are increasingly looking for personalized and interactive experiences. This trend is reflected in the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market, where there is a growing demand for AI-powered virtual try-on solutions for online shopping. Additionally, the rise of e-commerce platforms and the growing middle class in Vietnam have led to a surge in demand for AR and VR technologies for a more immersive shopping experience.
Trends in the market: In Vietnam, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology. This trend is primarily driven by the government's push for increased security and surveillance measures. Additionally, there is a growing interest in using image recognition for marketing and customer analysis purposes. This trend is expected to continue, with companies investing in research and development to improve accuracy and expand applications. This could have significant implications for industries such as retail, banking, and transportation, as well as concerns for privacy and data protection.
Local special circumstances: In Vietnam, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is driven by the country's rapidly growing tech industry and the government's push for digital transformation. The market is also influenced by the increasing use of smartphones and the rise of e-commerce, leading to the demand for advanced image recognition technology in areas such as e-payment and facial recognition for security purposes. Additionally, Vietnam's relatively low labor costs make it an attractive market for companies looking to outsource image recognition services.
Underlying macroeconomic factors: The growth of the Image Recognition Market within the Computer Vision Market is heavily influenced by macroeconomic factors such as technological advancements, government policies, and investments in AI infrastructure. Countries with favorable regulatory environments and strong investments in AI technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding for AI development. Furthermore, the increasing demand for automation and efficiency in various industries, coupled with the rising adoption of AI-driven solutions, is driving the growth of the Image Recognition Market in Vietnam.
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