Machine Learning - Poland

The Artificial Intelligence market in Poland is witnessing extraordinary growth, fueled by factors like rising adoption of Machine Learning technologies, growing health awareness, and the convenience of online health services. This growth rate is impacted by the country's focus on digital transformation and its efforts to become a leader in AI development and implementation.

Customer preferences: As the demand for data-driven decision-making grows in the Machine Learning Market within the Artificial Intelligence Market, there is a growing trend towards personalized and predictive solutions. This is driven by the increasing adoption of advanced analytics and the need for real-time insights. Furthermore, the emergence of AI-powered chatbots and virtual assistants is reshaping consumer interactions with businesses, enabling more efficient and personalized customer service experiences.

Trends in the market: In Poland, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for predictive analytics and data mining solutions. This trend is driven by the need for businesses to gain insights from large volumes of data and make data-driven decisions. As a result, companies are increasingly investing in machine learning technologies to streamline processes and improve efficiency. This trend is expected to continue, with the market projected to grow at a CAGR of 28.5% from 2021 to 2026. This presents significant opportunities for industry stakeholders, as well as potential implications for traditional business models and workforce dynamics.

Local special circumstances: In Poland, the Machine Learning Market within the Artificial Intelligence Market is experiencing growth due to the country's strong IT infrastructure and skilled workforce. Additionally, the government has implemented initiatives to promote AI development, such as the National Centre for Research and Development's AI strategy. The cultural acceptance of new technologies and high demand for AI applications in industries such as healthcare and finance are also driving market growth. However, strict data privacy regulations and limitations on the use of personal data may present challenges for companies in this market.

Underlying macroeconomic factors: The Machine Learning Market within the Artificial Intelligence Market in Poland is significantly impacted by macroeconomic factors such as government policies, technological advancements, and investment in research and development. The country's strong economic growth and supportive government initiatives have led to a favorable environment for the adoption and implementation of AI technologies. Additionally, the increasing demand for automation and data-driven solutions in various industries, coupled with the growing pool of skilled professionals, is driving the growth of the Machine Learning Market 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.