About Us
At Croissance Research, our methodology is designed to deliver accurate, reliable, and decision-ready automotive intelligence. We combine the discipline of traditional research with the speed and scalability of modern analytics—bringing together data precision and human insight to build a complete understanding of markets and customers.
We believe the strongest insights emerge when numbers are supported by real conversations. Our research integrates quantitative data with qualitative inputs gathered through experienced recruiters, interviewers, and moderators who understand the automotive ecosystem. This approach allows us to capture not only market outcomes, but also the motivations, constraints, and behaviors that drive them.
Hybrid, Automotive-First Approach
Our methodology blends multiple research layers to ensure depth, accuracy, and relevance:

Primary & Secondary Research
On-ground dealer interactions, consumer surveys, expert interviews, and validated secondary sources form the foundation of our intelligence.

Industry Expert Validation
Insights are reviewed and refined through discussions with automotive professionals, ensuring forecasts and conclusions reflect real-world dynamics.

AI-Powered Analytics & Predictive Modeling
Advanced analytical techniques are used to identify patterns, trends, and future scenarios across vehicle segments, fuel types, and regions.

Digital Dashboards & Databases
Insights are delivered through structured datasets, dashboards, and tools such as the Vehicle Statistic Dashboard (VSD), enabling easy analysis and integration into client workflows.
We manage every research project end-to-end—from study design and data collection to validation, analysis, and delivery. Rigorous quality checks are embedded at each stage to ensure data accuracy and consistency, particularly critical in complex and fragmented markets like India.
This hybrid research methodology ensures our clients receive insights that are fast, dependable, and directly usable—supporting strategic decisions across product planning, pricing, forecasting, market entry, and investment evaluation.
