Search More Examples
Germany, Wood Processing Equipment, Export Market, 1000 EUR, Value (Y)

Data Summary: Germany, Wood Processing Equipment, Export Market, 1000 EUR, Trend + Forecast, Value (Y)

Time series data for Germany, Wood Processing Equipment, Export Market, 1000 EUR, Trend + Forecast, Value (Y)
Time Period Value Data Range
2015 605.136,09 2002 - 2030
2016 652.867,58 2002 - 2030
2017 753.104,35 2002 - 2030
2018 814.082,75 2002 - 2030
2019 836.410,46 2002 - 2030
2020 866.199,08 2002 - 2030
2021 964.810,43 2002 - 2030
2022 1.004.931,30 2002 - 2030
2023 1.000.052,69 2002 - 2030
2024 932.513,39 2002 - 2030
2025 779.673,91 2002 - 2030

This dataset contains 11 data points spanning from 2015 to 2025.

Analysis dimensions: Region, Product, Measure, Unit, Analysis.

Statistical summary: Minimum value 605,136.09, Maximum value 1,004,931.30, Average value 837,252.91.

The chart above illustrates a time series model generated by the Innomis Market Management Platform - one of many analytic models and visualization options available.

To discover how Innomis continuously delivers and transforms millions of data records into efficient information and actionable intelligence - using digital assistants and AI for informed decision-making in market management - please contact us to schedule a personal demo.

Metadata
Solution
Export Market Intelligence
Region
Germany
Product
Wood Processing Equipment
Measure
Export Market
Unit
1000 EUR
Analysis
Value (Y)
TIME (Displayed)
2015 - 2025
TIME (Available)
2002 - 2030

Data Insights and Analysis

This comprehensive dataset spans 11 time periods from 2015 to 2025. The analysis reveals values ranging from 605,136.09 to 1,004,931.30, with an average value of 837,252.91.

The data shows an overall upward trend with a total change of 174,537.82 (28.8% increase) over the analyzed period.

Key analytical dimensions include: Germany, Wood Processing Equipment, Export Market, 1000 EUR, Trend + Forecast, Value (Y). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.