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 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 Poland is witnessing moderate growth due to factors such as adoption of digital technologies, increasing health awareness, and convenience of online health services. However, the growth rate remains subdued due to certain factors impacting the market.
Customer preferences: As the use of image recognition technology continues to expand in various industries, there has been a growing demand for solutions that can accurately identify and analyze visual data in real-time. With the rise of e-commerce and online shopping, consumers are increasingly looking for advanced image recognition capabilities for product search and recommendation. This trend is driven by the need for a seamless and personalized shopping experience, as well as the growing popularity of social media platforms where visual content plays a significant role.
Trends in the market: In Poland, 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 driven by the increasing use of face recognition in security and surveillance systems, as well as in retail and marketing applications. This trend is expected to continue, with the market projected to grow significantly in the coming years. The implications for industry stakeholders include opportunities for companies to develop innovative solutions and for end-users to benefit from more efficient and personalized services.
Local special circumstances: In Poland, the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market is experiencing significant growth due to the country's strong IT infrastructure and high-tech talent pool. Additionally, the government's focus on digital transformation and support for startups has created a conducive environment for the development of innovative AI solutions. Furthermore, Poland's strategic location and proximity to Western European markets make it an ideal location for companies to set up their operations.
Underlying macroeconomic factors: The growth of the Image Recognition Market of the Computer Vision Market within the Artificial Intelligence Market in Poland is influenced by various macroeconomic factors such as technological advancements, government initiatives, and investment in research and development. Countries with strong government support and favorable investment policies for artificial intelligence are experiencing faster market growth compared to regions with regulatory challenges and limited funding for research and development. Additionally, the increasing demand for automation and efficiency in various industries, such as retail, healthcare, and automotive, is driving the demand for image recognition technology in Poland.
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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