BMW Global Automotive Sales

By shrijeetverma13 · February 23, 2026

Data source:

The analysis successfully generated a comprehensive view of BMW model revenue performance. A bar chart was created showing the total revenue for each BMW model across all regions and years, with color coding to highlight the revenue differences between models.

GDP Growth and Units Sold show virtually no correlation overall, with a correlation coefficient of -0.015. This means that across all regions combined, changes in GDP growth have almost no relationship with units sold.

I've created a comprehensive comparison of sales performance across different regions, showing both units sold and revenue in EUR. The analysis includes a dual-axis bar chart that makes it easy to see how each region performs on both metrics simultaneously.

I've identified the best-performing model in each region based on total units sold. Two visualizations were created to show these results: a bar chart highlighting the top model per region, and a detailed comparison showing the top 3 models in each region for additional context.

The analysis shows how Battery Electric Vehicle (BEV) market share has evolved across different regions from 2018 to 2025. An interactive line chart has been generated that displays the trends for each region over time, allowing you to see which regions are leading in BEV adoption and how quickly adoption rates are changing.

The analysis reveals virtually no correlation between average price and units sold across different models, with an overall correlation coefficient of just 0.039. This suggests that pricing has minimal impact on sales volume in this dataset.

The analysis shows the year-over-year revenue growth trend from 2018 to 2025. A visualization has been created displaying the annual growth rates as a bar chart, with positive growth shown in green and negative growth in red.

I've created a comprehensive analysis showing how premium share varies across regions and its relationship with revenue. Two interactive visualizations have been generated: a bar chart displaying average premium share by region (with color indicating total revenue), and a scatter plot revealing the relationship between premium share and total revenue, with bubble sizes representing units sold.

The analysis reveals clear seasonal patterns in units sold across all years. December consistently shows the highest sales, while February consistently shows the lowest sales throughout the dataset period (2018-2025).

The top 3 models account for 46.74% of total revenue, meaning nearly half of all revenue comes from just three models.

I've identified the models with the highest average price (revenue per unit) in each region. The analysis shows a clear visualization comparing the top 3 highest-priced models across all regions, making it easy to see which premium models dominate in each market.

I've created a line chart showing how average prices in EUR have changed over time for each model from 2018 to 2025. The visualization displays clear trend lines for each model, making it easy to compare price movements across different models throughout this period.

The analysis identified one model-region combination with a declining Units Sold trend. A visualization was created showing the trend slope, which indicates the annual rate of decline in units sold.

The analysis successfully calculated the growth in Units Sold across all regions between 2018 and 2025. A bar chart was generated showing the percentage growth for each region, with color coding to highlight the fastest and slowest growing areas.

Yes, fuel prices have a significant impact on BEV (Battery Electric Vehicle) share, but minimal effect on overall units sold. The analysis reveals a very strong positive correlation of 0.952 between fuel price index and BEV share, meaning as fuel prices increase, BEV adoption rises substantially. However, fuel prices show only a weak correlation of 0.158 with total units sold, indicating they don't significantly affect the overall market size.