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Combining deep industry knowledge with innovative methods in statistics, economics, mathematics and data science, we help clients solve complex business problems and improve their decision-making.

Solve problems beyond the scope of traditional market research techniques:

  • Assessing category sales responsiveness to external shocks such as GDP or inflation.
  • Determining tipping points for categories in emerging markets.
  • Measuring the importance of category growth drivers like income, price, habit persistence and demographics.
  • Identifying true substitutes for consumer products and the degree they compete for discretionary income.
  • Segmenting consumer social classes by comparing spending across countries and categories despite differences in purchasing power and pricing.
  • Evaluating middle-class spending structure in 1,000 key cities.
  • Quantifying competition between companies, tracking competitive dynamics and measuring white spaces.
  • Organising future events into discrete scenarios by their likelihood.

Precise answers to vital business questions are more important than ever. We offer solutions through:

  • Our team of experts in statistics, economics, econometrics and data science.

  • Our in-depth understanding of industries, consumers and economies worldwide.

  • Over 115 million regularly updated statistics in Passport.


Our Analytics product solutions analyse data available in Euromonitor International’s Passport database and help develop better insight into industry-specific dynamics or global cross-industry trends.  

statistics methodology

Each data point is collected with definitions and source locations before undergoing several layers of quality control and standardisation. Any outliers are detected and reported back to sources for further resolution. When necessary, adjustments of quarterly and monthly data are made and time-gaps are filled with statistical interpolation techniques.  Rigorous checks of data definitions and adherence to international classifications help ensure cross-comparability. 


Forecasting methods range from macroeconomic and demographic models with systems of behavioural equations for mid-to-long run forecasts, to data intense time series techniques aimed at short-run forecasting.  For every given dataset, a number of models are tested an often combined to obtain the resulting model of the highest predictive power.  Our models also account for cross-country and cross-regional economic effects.

Learn more about our Analytics capabilities