Computer Vision - Poland

The Artificial Intelligence market in Poland is experiencing mild growth, driven by factors such as increasing adoption of computer vision technologies, growing awareness about AI in the healthcare sector, and the convenience of online services. The sub-markets of Speech Recognition, Image Recognition, and Facial Recognition also contribute to the market's growth. However, challenges such as data privacy concerns and lack of skilled professionals may impact the overall growth rate.

Customer preferences: As the adoption of Artificial Intelligence continues to grow in Poland, the Computer Vision Market is gaining traction among consumers. This can be attributed to the increasing demand for smart surveillance systems, which offer enhanced security and safety in both residential and commercial settings. Additionally, the integration of computer vision technology in self-driving cars and drones is also witnessing a rise in popularity. This shift towards advanced visual recognition systems is driven by the growing need for efficient and accurate monitoring and control in various industries.

Trends in the market: In Poland, the Computer Vision Market within the Artificial Intelligence Market is experiencing a surge in demand for facial recognition technology in various sectors such as security, retail, and healthcare. This trend is driven by the need for contactless identification and authentication processes. Additionally, there is an increasing adoption of computer vision technology for quality control and automation in manufacturing industries. This trend is expected to continue, with potential implications for industry stakeholders including improved efficiency, cost savings, and enhanced customer experience.

Local special circumstances: In Poland, the Computer Vision Market within the Artificial Intelligence Market is thriving due to the country's strong technology sector and supportive government policies. The market has also benefited from a growing demand for advanced digital solutions in industries such as manufacturing, healthcare, and retail. Furthermore, Poland's strategic location and well-developed infrastructure make it an ideal market for companies looking to expand their AI capabilities in Europe. However, strict data privacy regulations and a shortage of skilled professionals in the field could potentially hinder market growth.

Underlying macroeconomic factors: The growth of the Computer Vision Market within the Artificial Intelligence Market in Poland is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in digital infrastructure. With the government's focus on promoting innovation and developing cutting-edge technologies, Poland has become a hub for AI development, attracting both domestic and foreign investments. Additionally, the country's strong economic growth, stable political environment, and skilled workforce have created a conducive environment for the growth of the Computer Vision Market. Moreover, the increasing demand for efficient and cost-effective solutions in various industries, such as healthcare, manufacturing, and retail, is driving the adoption of computer vision technology in Poland.

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.