Artificial Intelligence - Poland

The Artificial Intelligence market in Poland is witnessing rapid growth, fueled by factors like increased adoption of digital technologies, growing awareness about health, and the convenience of online health services. This elevated growth rate can be attributed to the advancements in AI Robotics, Autonomous & Sensor Technology, Computer Vision, Machine Learning, Natural Language Processing, and Generative AI. These sub-markets are driving the overall market and contributing to its significant expansion.

Customer preferences: As AI technology continues to advance in Poland, consumers are increasingly gravitating towards personalized and intuitive solutions. This trend is driven by a growing preference for convenience and efficiency, as well as the desire for more personalized and tailored experiences. This has led to a surge in demand for AI-powered virtual assistants and chatbots, which offer convenient and efficient ways for consumers to interact with businesses and access information. Additionally, the use of AI in healthcare is gaining traction, with virtual medical assistants and AI-powered diagnosis and treatment tools becoming more popular among individuals seeking convenient and accurate healthcare solutions.

Trends in the market: In Poland, the Artificial Intelligence market is experiencing a surge in the use of AI-driven chatbots for customer service and support. This trend is expected to continue as companies look for ways to improve customer interactions and streamline operations. Additionally, there is a growing focus on using AI for predictive maintenance in manufacturing and logistics industries. This has significant implications for businesses looking to optimize processes and reduce costs. Furthermore, the rise of AI-powered virtual assistants and personalization technologies is expected to shape the future of e-commerce and retail. These developments highlight the potential for AI to transform various industries in Poland and pave the way for innovation and growth.

Local special circumstances: In Poland, the Artificial Intelligence Market is growing rapidly due to the country's strong emphasis on technological innovation and digital transformation. The government has implemented several initiatives to boost AI development, including the establishment of the National Center for Research and Development and the AI Development Strategy. Additionally, Poland's central location in Europe and its highly educated workforce make it an attractive location for international AI companies. However, the market is also influenced by strict data privacy regulations, which may pose challenges for AI companies.

Underlying macroeconomic factors: The growth of the Artificial Intelligence Market in Poland is influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. Countries with favorable policies and investments in AI are experiencing faster market growth compared to regions with regulatory challenges and limited funding. Furthermore, the rising demand for AI solutions in various industries, such as healthcare, finance, and transportation, is driving the market in Poland. Additionally, the country's strong economic growth and favorable business environment are attracting foreign investments and fueling the development of the AI market.

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.