Business Intelligence Software - Central & Western Europe

In 2024, the projected revenue for the Business Intelligence Software market in Central & Western Europe is expected to reach US$4.62bn.
This is based on the anticipated annual growth rate (CAGR 2024-2029) of 5.15%, which would result in a market volume of US$5.94bn by 2029.
Furthermore, it is estimated that the average Spend per Employee in the Business Intelligence Software market will reach US$26.66 in 2024.
When compared to the global market, United States is expected to generate the highest revenue in 2024, reaching US$13.96bn.
In Central & Western Europe, Germany is leading the market for Business Intelligence Software with its strong focus on data-driven decision making.

Definition:

The Business Intelligence Software market covers software applications that support organizations in analyzing, visualizing, and reporting data. They are also used to present information in a business context and thus support rational business decisions. These applications help to access data, implement queries, create reports, and perform advanced predictive analytics.

Products in the Business Intelligence Software market can be obtained in two ways: as on-premises software that is sold via a transactional license or a subscription and as cloud-based software (software as a service/ SaaS) that is most frequently sold as a subscription.

Additional Information:

The Business Intelligence Software market comprises revenue and revenue growth as the key performance indicators. Only the revenues that are generated by primary vendors at the manufacturer price level either directly or through distribution channels (excluding value-added tax) are included and the revenues generated by resellers are excluded. Revenues are generated through both online and offline sales channels and include spending by enterprises (B2B) and governments (B2G).

Key players in this market include SAS Institute, SAP, and IBM.

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Reporting & analysis software, such as Zoho Analytics, IBM Cognos Analytics, and Domo
Advanced & predictive analytics, such as Tableau, Amazon Forecast, and Adobe Analytics

AI software platforms, such as OpenAI, Alphabet, and DeepMind
Supply chain and product analytics, such as Azure Machine Learning, Tableau, and Qlik Supply Chain Analytics
Analytic data management and integration, such as SAS, IBM, TIBCO, and DataStax
Analytics and performance management applications, such as Paycor, BambooHR, and Lattice

The demand for Business Intelligence Software in Central & Western Europe is steadily increasing as companies are recognizing the importance of data-driven decision making.

Customer preferences: Customers in Central & Western Europe are increasingly looking for Business Intelligence Software that can provide real-time data analysis, predictive analytics, and visualization tools. They want software that is easy to use and can integrate with other business applications. Additionally, customers are seeking cloud-based solutions that can be accessed from anywhere at any time.

Trends in the market: Germany, France, and the UK are the largest markets for Business Intelligence Software in Central & Western Europe. In Germany, there is a growing demand for software that can analyze big data and provide insights into customer behavior. In France, there is a trend towards self-service analytics, where business users can create their own reports and dashboards. The UK market is focused on predictive analytics and machine learning, as companies look to gain a competitive advantage through data analysis.

Local special circumstances: In Central & Western Europe, there are strict data protection laws that companies must adhere to. This has led to an increased demand for software that can ensure data privacy and security. Additionally, there is a shortage of skilled data analysts in some countries, which has led to a greater reliance on software to analyze data.

Underlying macroeconomic factors: The economy in Central & Western Europe is generally stable, which has led to increased investment in technology. Additionally, the rise of Industry 4.0 has led to a greater need for data analysis in manufacturing and other industries. The COVID-19 pandemic has also accelerated the adoption of Business Intelligence Software as companies look for ways to optimize their operations and make data-driven decisions in a rapidly changing business environment.

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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

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These activities are planned and put into stages in a logical order, a process known as the software development life cycle (SDLC) or software development. The SDLC often includes six stages: requirement analysis, design, development, testing, implementation, documentation, and evolution. Programming languages such as JavaScript and C++ are used to create software, with JavaScript being the most popular programming language in 2023 and used by roughly 65 percent of software developers.