Demand Modeling & Market Estimation
Our market estimation employs a rigorous combination of top-down and bottom-up methodologies, enhanced by multi-level data triangulation, to ensure the highest degree of accuracy and reliability.
The bottom-up approach involves quantifying the market by aggregating granular data points. Key metrics and variables used include:
- Production volume of specific battery chemistries (GWh/year): Tracking global and regional output of Lithium-Ion, LFP, NCM, NCA, LMO, Solid-State, and Sodium-Ion batteries.
- Average CNT conductive slurry consumption per GWh of battery capacity (kg/GWh): Deriving this critical coefficient through primary interviews with battery manufacturers and material suppliers.
- Average selling price of CNT conductive slurries per kg ($/kg): Obtaining pricing intelligence across different product types, dispersion mediums, and conductivity levels.
- Number of new EV battery gigafactories planned/under construction: Assessing future demand based on anticipated manufacturing capacity expansions.
- Production volume of specific electronic devices (e.g., flexible displays, sensors): Estimating consumption in non-battery applications where CNT conductive slurries are utilized.
The top-down approach involves segmenting the total addressable market based on macroeconomic indicators, industry growth rates, and expert projections, then disaggregating it into specific product types, applications, and regions.
Multi-level data triangulation is applied across all stages, comparing data from primary interviews with secondary sources, competitor analysis, and demand modeling outputs to reconcile discrepancies and validate projections. This iterative process refines the market size and forecast numbers, ensuring robust and defensible estimates.