My demand World Europe Industry, manufacturing

EU: Production in chemicals and chemical products

The dataset represents a comprehensive compilation of statistics that measure the production output within the chemical sector across the European Union. It encompasses a wide range of data points that reflect the volume and value of chemicals and chemical products manufactured within the EU member states over a specified period.

Forecast

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This graph provides a visual representation, showcasing the historical data alongside predictive forecasts. The dark line represents historical data, reflecting actual recorded values to the most recent complete year. The yellow line indicates forecasted data, which is based on sophisticated modeling techniques to project future values. When interpreting this graph, note the cyclical patterns in the historical data, which can help in understanding the basis for the forecasted trend. These projections are essential for strategic planning and decision-making, as they provide insights into expected market behavior and potential demand fluctuations.

Related Drivers

Access key market factors influencing the forecast, with this ranked overview of the most significant forecast drivers. Each driver is evaluated for its impact on the forecast, with a corresponding impact coefficient that quantifies its relative influence.

Understand what factors affect forecasting performance and strategic decision-making processes.

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Drivers Impact

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Model Improvement

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This demonstrates the enhancement our AI methodology, which leverages billions of market data points, offers over a purely statistical forecasting approach that depends solely on historical data.

This comparison underscores the accuracy improvement our AI model delivers in comparison to traditional methods, particularly in the short-term horizon, which is crucial for responsive and agile market strategies.

Model Performance

Relative Absolute

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This represents the total of all errors made by the model during its forecasting over time. It reveals a continuous learning curve and a rise in accuracy as time progresses, a characteristic unique to machine learning, as it enhances its performance over time.

Related Datasets

Type

France: Inorganic Chemical Production Canada: Aluminium Production US: Organic Chemical Production Germany: Paint Industry Production Italy: Chemical and chemical product production

Industry

US Producer Price: Chemical Products US Output in Chemical Manufacturing EU Turnover in Chemical manufacturing EU Producer Price: Chemicals and chemical products US: All Employees, Chemical Industry

Regions

Germany: Production in chemicals and chemical products France: Production in chemicals and chemical products US: Production in chemicals and chemical products Canada: Production in chemicals and chemical products Japan: Production in chemicals and chemical products

Market

US Retail Sales: Automotive Vehicles EU: Construction - Shortage of Labour EU: Construction - Shortage of Demand US Personal Consumption in Pharmaceutical Products ...

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