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: 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 Artificial Intelligence market in D-A-CH is witnessing subdued growth in the Image Recognition and Computer Vision segments due to factors such as limited awareness, slow adoption, and lack of skilled workforce. However, with increasing investments and advancements, the market is expected to experience significant growth in the coming years.
Customer preferences: Consumers in the D-A-CH region are increasingly using image recognition technology to enhance their shopping experience. With the rise of e-commerce and online shopping, consumers are relying on visual search and augmented reality applications to make more informed purchasing decisions. This trend is driven by a growing preference for a personalized and immersive shopping experience. Additionally, the use of image recognition in social media platforms is on the rise, with consumers using it to discover and share products and services, further driving the demand for this technology.
Trends in the market: In D-A-CH, 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 is being driven by the increasing adoption of biometric identification in various industries, such as banking, retail, and security. Additionally, there is a growing trend of using image recognition for autonomous vehicles and smart city applications. These developments have significant implications for industry stakeholders, as they open up new opportunities for revenue growth and innovation. However, there are also concerns about privacy and security that need to be addressed.
Local special circumstances: In D-A-CH, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is heavily influenced by the region's robust manufacturing sector. As a result, there is a high demand for computer vision solutions in industrial automation and quality control. Additionally, the strict data privacy regulations in Germany and Switzerland have created a unique market for AI-enabled image recognition technology that ensures compliance with these laws. In Austria, the market is driven by the country's strong research and development capabilities, leading to innovations in image recognition for healthcare and autonomous driving applications.
Underlying macroeconomic factors: The Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in D-A-CH is greatly impacted by macroeconomic factors such as technological advancements, government policies, and investments in AI. Countries with strong support for AI innovation and investment in research and development are experiencing rapid market growth compared to regions with limited government funding and regulatory challenges. Furthermore, the increasing demand for AI-driven solutions in various industries, such as healthcare and automotive, is driving the growth of the market in the region.
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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