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Business Intelligence Software - Poland

Poland

In 2024, the revenue in the Business Intelligence Software market in Poland is projected to reach €83.15m.
Looking ahead, the market is expected to show an annual growth rate (CAGR 2024-2029) of 5.52%, resulting in a market volume of €108.80m by 2029.
Additionally, the average Spend per Employee in the Business Intelligence Software market is projected to reach €4.45 in 2024.
In comparison to other countries, it is worth noting that United States is expected to generate the highest revenue in the Business Intelligence Software market, amounting to €12,810.00m in 2024.
Poland has seen a surge in demand for Business Intelligence Software, as companies strive to gain data-driven insights for strategic decision-making.

Key regions: United States, France, Germany, South Korea, Canada

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Región

Comparación de regiones

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Analyst Opinion

The demand for Business Intelligence Software in Poland has been increasing steadily in recent years, with a growing number of companies recognizing the value of data-driven decision making.

Customer preferences: Polish businesses are increasingly turning to Business Intelligence Software to help them make informed decisions. This is due to the growing availability of data and the need for companies to gain insights and competitive advantages. Additionally, the rise of digitalization has made it easier for businesses to collect data, making Business Intelligence Software a valuable tool for analyzing and interpreting this data.

Trends in the market: One of the major trends in the Business Intelligence Software market in Poland is the increasing adoption of cloud-based solutions. This is due to the fact that cloud-based solutions are more cost-effective, scalable, and flexible than traditional on-premise solutions. Additionally, the rise of mobile devices has made it easier for businesses to access and analyze data from anywhere, at any time.Another trend in the market is the growing use of artificial intelligence and machine learning in Business Intelligence Software. These technologies can help businesses to automate data analysis and gain insights more quickly and efficiently. Additionally, they can help to identify patterns and trends that might be difficult or impossible to detect manually.

Local special circumstances: Poland has a rapidly growing tech industry, with a large number of startups and established companies operating in the country. This has led to a high demand for Business Intelligence Software, as these companies seek to gain insights and competitive advantages in a rapidly changing market.

Underlying macroeconomic factors: Poland has a strong and stable economy, with a growing middle class and a large number of businesses operating in the country. This has led to a high demand for Business Intelligence Software, as companies seek to gain insights and competitive advantages in a crowded and competitive market. Additionally, Poland has a highly skilled workforce, with a large number of professionals trained in data analysis and business intelligence. This has helped to fuel the growth of the Business Intelligence Software market in the country.

Methodology

Data coverage:

The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the allocation to the country where the money was spent at manufacturer price level (excluding VAT).

Modeling approach / Market size:

The segment size is determined through a top-down approach. We use financial statements such as annual reports, quarterly earnings, and expert opinions to analyze the markets. To estimate the segment size for each country individually, we use relevant key market indicators and data from country-specific industry associations such as GDP, level of digitization, GDP sector composition, and observed level of software piracy.

Forecasts:

We use a variety of forecasting techniques, for instance, advanced statistical methods, depending on the behavior of the relevant segment. The main drivers are the GDP and the level of digitization.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level.