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Overview

The automobile sector is a key driver of industrial innovation, mobility, and global trade. It faces mounting challenges: supply chain disruptions, evolving consumer preferences, regulatory pressures, and the transition to electric and autonomous technologies. Through data-driven insights and sectoral forecasts, Trends & Poor supports automotive stakeholders in anticipating market shifts, refining strategies, and aligning with emerging technological and policy landscapes.

Our offer for the Automobile sector

In addition to our economic and strategic advisory services across key sectors, we provide historical data and develop forward-looking projections for core indicators at the sectoral level across a wide range of economies.

Sector data

We oversee a comprehensive data infrastructure that captures key metrics across the automotive value chain, from new vehicle production and sales volumes to the dynamics of the second-hand market. This is complemented by recurring consumer surveys that explore purchasing behavior, brand preferences, and the financial and technological factors influencing decision-making.

Modelling and forecasting

By applying advanced modeling techniques and drawing on deep expertise in automotive market dynamics, we produce forward-looking projections for key indicators such as production volumes, vehicle sales, and second-hand market trends. Our scenario-based approach incorporates technological shifts, consumer behavior, and structural supply-demand drivers to simulate the most credible future outcomes.

Case studies

Our team of economists and industry experts conduct precision-driven studies that address targeted questions within the automotive sector. These engagements are designed to move beyond general market analysis, offering deep dives into specific themes such as production strategies, consumer behavior, mobility trends, and investment feasibility.

Would you like an in-depth analysis of the Automobile sector in a specific country?

Recents focus on the Automobile sector