AI Industrial Robotics - Poland

  • Poland
  • The market size in the AI Industrial Robotics market is projected to reach €51.95m in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 25.42%, resulting in a market volume of €202.20m by 2030.
  • In global comparison, the largest market size will be in the United States (€2,726.00m in 2024).
 
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Analyst Opinion

The AI Industrial Robotics Market in Poland is experiencing rapid growth, fueled by factors like the increasing adoption of AI technologies, rising awareness of the benefits of AI in industries, and the convenience of automated processes. This elevated growth rate is impacted by the country's investment in AI research and development, growing demand for efficient and cost-effective solutions, and advancements in AI technology.

Customer preferences:
As more companies in Poland adopt AI industrial robotics, there is a growing demand for advanced technologies and automation solutions in industries such as manufacturing and logistics. This shift towards intelligent automation is driven by the need for efficient and cost-effective production processes. Additionally, the increasing focus on sustainability and reducing carbon footprint is fueling the adoption of AI-driven robotics, as they offer greater precision and control in operations, resulting in reduced waste and energy consumption.

Trends in the market:
In Poland, the AI Industrial Robotics Market within the Artificial Intelligence Market is experiencing a surge in demand for collaborative robots, or "cobots," which are designed to work alongside human workers. These cobots are being used in various industries, such as manufacturing, healthcare, and retail, to improve efficiency and productivity. Additionally, there is a growing trend of using AI-powered robots for tasks such as quality control and data analysis. These trends are significant as they indicate a shift towards automation and digitalization in the Polish market. Industry stakeholders must adapt to these changes by investing in AI technologies and upskilling their workforce to stay competitive.

Local special circumstances:
In Poland, the AI Industrial Robotics Market is influenced by the country's strong manufacturing sector and its focus on automation and innovation. The government's support for Industry 4.0 initiatives has also played a significant role in driving the growth of the market. Additionally, Poland's strategic location and favorable investment climate make it an attractive market for international players. However, the country's strict data privacy regulations and its relatively small market size compared to other European countries may pose challenges for market expansion.

Underlying macroeconomic factors:
The growth of the AI Industrial Robotics market in Poland is also influenced by macroeconomic factors such as technological advancements, government support, and investment in manufacturing infrastructure. Countries with favorable regulatory environments and strong investment in AI and robotics technologies are experiencing faster market growth compared to regions with regulatory challenges and limited funding for industrial development. Additionally, the increasing trend towards automation, efficiency, and cost savings in the manufacturing sector is driving the demand for AI industrial robotics solutions in Poland.

Methodology

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.

Vue d’ensemble

  • Market Size
  • Value
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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