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    Medium- and Heavy-Commercial Vehicle Model Production Forecast

    Learn more about Medium- and Heavy-Commercial Vehicle Model Production Forecast
    Stay ahead of commercial vehicle market model developments

    Do you need to assess the competitive OEM model line-up? Part-supply volumes and demand?

    This global seven-year forecast with quarterly updates offers truck model-level production forecasts, analysis and cycle plans of medium- and heavy-duty trucks and buses, presented in uniform and consistent weight segmentation. This analysis of 95% of world production allows you to:

    • Assess OEM part supply volumes and demand for parts
    • Validate requests for quote
    • Target future business opportunities
    • Understand OEM launch timing and production capacity
    Keep pace with global medium- and heavy-commercial vehicle production Get free Automotive truck model production forecast
    DOWNLOAD FORECAST NOW

    What’s Included

    Data/Forecast
    • Seven-year forecast (current plus six)
    • 10 years of historical data
    • Assembly plant volumes and capacity analysis
    • Product platform and model analysis/outlooks
    • Global coverage across for 43 countries across 7 regions
    Quarterly Updates

    In addition to quarterly revisions to the base forecast, data is delivered in:

    • Monthly buckets for current year
    • Monthly buckets for first two forecast years
    • Quarterly buckets for rest of base forecast horizon
    Medium- and Heavy Commercial Vehicle Solution Suite

    In addition to the Model Production Forecast, S&P Global offers a comprehensive group of medium- and heavy-commercial vehicle solutions that expand the depth and detail of our insight in areas critical to your organization's success:

    • Registration Data
    • Vehicle-in-operation Data
    • Sales & Production Industry Forecast
    • Model Production Forecast
    • Engine Production Forecast
    • North American Weight-Segment Forecast
    • Model-Family Sales Forecast (available for four regions)

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