Caribbean Market Sizing Methodology: A Practitioner's Guide

"How big is the Caribbean market for X?" is one of the most frequently asked and most frequently mis-answered questions in regional strategy work. The answer that gets quoted in board decks (often a single dollar figure for "the Caribbean") usually papers over a methodology stack that, on closer inspection, would not survive cross-examination.

This happens because Caribbean market sizing is structurally harder than market sizing in developed economies. The data sources that produce reliable estimates for the United States or Western Europe are either thinner, less consistent, or simply absent across most of the region's 30-plus countries and territories. A methodology that works in one Caribbean market often needs significant adaptation for another.

This guide walks through how to actually size a Caribbean market with the rigor a strategic decision deserves: the three main methodological approaches, the country-by-country data reality, the common errors that produce confident-but-wrong numbers, and a worked example.

Why is Caribbean market sizing harder than developed-market sizing?

Five structural factors make Caribbean market sizing more methodologically demanding than equivalent work in larger economies:

Small markets generate proportionally less data. A market of 2.8 million people (Jamaica) or 1.4 million (Trinidad and Tobago) does not support the same syndicated measurement infrastructure as a market of 330 million. Nielsen, Kantar, and other global measurement providers maintain limited or no continuous retail and consumer panels in most Caribbean markets.

Statistical infrastructure varies widely by country. Jamaica's Statistical Institute (STATIN) and Trinidad's Central Statistical Office produce reasonable quality national accounts and household survey data, but neither approaches the granularity of equivalent agencies in larger economies. Smaller islands often publish national accounts only annually with significant lag.

Informal economic activity is significant in many categories. A meaningful share of Caribbean retail, services, and small-business activity occurs outside the formal measurement frame. Traditional-trade retail, informal services, market vendors, and cash-based small businesses can collectively represent 25 to 50 percent of category volume in FMCG. Top-down statistical sources systematically under-represent this layer.

Multi-country aggregation requires methodological consistency that often does not exist. "The Caribbean market" usually means CARICOM plus key non-CARICOM territories (Cuba, Dominican Republic, Puerto Rico, French Caribbean, Dutch Caribbean). Aggregating across these countries requires consistent methodology across 20-plus jurisdictions with different statistical conventions, fiscal years, currency reporting, and category definitions.

Currency conversion adds noise. Multiple regional currencies (Jamaican Dollar, Trinidad and Tobago Dollar, Eastern Caribbean Dollar, Dominican Peso, and others) plus USD and EUR reporting in different territories means market size estimates are sensitive to the exchange rate snapshot used.

The three main approaches

Top-down approach

Top-down sizing starts from national accounts or industry-level totals and disaggregates to the target category. The logic: total private consumption is X, food and beverages are Y percent of that, packaged food is Z percent of food and beverages, therefore packaged food in this market is X times Y times Z.

When it works well: large, well-measured categories tracked by national statistical offices. Total retail, total banking deposits, total telecommunications revenue, total tourism expenditure.

Where it breaks: categories that do not map cleanly to standard statistical classifications, categories with significant informal-economy activity, sub-categories that are small relative to published aggregates, and emerging categories not yet classified by statistical offices.

Data sources for top-down work in the Caribbean:

• National statistical offices (STATIN, CSO Trinidad and Tobago, Barbados Statistical Service, Dominica Bureau of Statistics)
• Central banks (Bank of Jamaica, Central Bank of Trinidad and Tobago, ECCB for Eastern Caribbean members, Central Bank of Barbados)
• IMF Article IV consultations and country reports
• World Bank country economic memorandums
• Inter-American Development Bank country publications
• ECLAC regional analysis
• CARICOM Secretariat statistical publications

Bottom-up approach

Bottom-up sizing builds estimates from per-capita or per-business consumption data, multiplied by the relevant population or business universe. The logic: if the average household in segment X consumes Y units per year, and there are Z households in segment X, then category volume is Y times Z.

When it works well: consumer categories where category usage and volume can be measured by survey, B2B categories where buyer universe can be defined, and categories where good demographic segmentation data exists.

Where it breaks: categories with significant occasional or low-incidence usage that surveys under-detect, categories where respondents systematically under-report (alcohol, tobacco, certain personal care), and categories where the buyer universe is hard to define.

Primary research methodologies that support bottom-up sizing include: population-representative consumer surveys, business establishment surveys for B2B and SME-category sizing, in-depth interviews with category buyers, retail audits to validate consumer-survey-based sizing in FMCG, and direct-from-distributor data validation where distribution is concentrated.

Competitor-mapping approach

Competitor-mapping sizing builds estimates from observed competitor activity. The logic: if the top three companies in this category have observable revenues of A, B, and C, and they collectively hold an estimated X percent share, then total market is (A+B+C) divided by X.

When it works well: categories with a small number of large competitors where revenue can be estimated from public filings, trade press, regulatory filings, or industry interviews. Banking, telecommunications, insurance, large-format retail, and beverages often work well for this approach.

Competitor-mapping is particularly useful as a cross-check on top-down or bottom-up estimates. If the top-down approach says the category is USD 100M and the top three observable competitors have combined revenue of USD 130M, the top-down estimate is wrong.

Triangulation: how to combine the three approaches

For any significant Caribbean market sizing project, the right output is a triangulated estimate that uses all three approaches and explicitly documents the assumptions and ranges.

The triangulation logic:

1. Calculate the category size from each approach independently. Document the assumptions and data sources for each.
2. Compare the three estimates. If they agree within a tight range (10-15 percent), confidence is high. If they diverge significantly, investigate why.
3. Identify the source of divergence: informal-economy activity that top-down misses, definitional differences, under-reporting in survey-based estimates, or competitor revenue that crosses category boundaries.
4. Resolve divergence with additional primary research where the stakes justify it.
5. Report a range, not a point estimate, where the underlying uncertainty justifies it.

In our experience, well-triangulated Caribbean market sizing typically lands within a 15-20 percent confidence range for large, well-measured categories and a 25-35 percent confidence range for smaller, less-measured categories.

Country-by-country data quality

Not all Caribbean markets are equally measurable. A realistic data-quality picture by country:

Strong data infrastructure: Dominican Republic (Banco Central, Oficina Nacional de Estadistica, regular census), Jamaica (STATIN, Bank of Jamaica, regular census), Trinidad and Tobago (CSO, Central Bank, regular census), Barbados (Barbados Statistical Service, Central Bank of Barbados, regular census), Puerto Rico (US Census Bureau coverage, Junta de Planificacion).

Moderate data infrastructure: Bahamas (Department of Statistics, Central Bank), Suriname (General Bureau of Statistics), Belize (Statistical Institute of Belize), Guyana (Bureau of Statistics, rapidly improving with oil sector growth), French Caribbean territories (INSEE coverage as French overseas departments).

Limited data infrastructure: OECS member states individually (St. Lucia, St. Vincent, Grenada, Dominica, Antigua, St. Kitts and Nevis) where aggregate ECCB data is good but country-level granularity is more limited; Cayman Islands, Bermuda, Turks and Caicos, BVI (small economies, financial-services-focused statistics published, broader consumer statistics thinner); Aruba, Curacao, and Dutch Caribbean islands (varying depth by territory).

Thin data infrastructure: Haiti (limited recent statistical coverage) and some smaller territories where data is published with significant lag or limited granularity.

For multi-country sizing projects, this variation usually means combining well-measured anchor markets (Jamaica, Trinidad, DR, Barbados) with extrapolation, primary research, or proxy methods for the smaller or less-measured markets. The honest version of a "Caribbean total" estimate explicitly documents which countries are measured directly and which are estimated.

Common errors and how to avoid them

Error 1: Treating "Caribbean" as a single market. As discussed in our Caribbean market entry strategy guidance, the Caribbean is not a unified consumer market. Country-level estimates with explicit aggregation methodology are more decision-useful than a single aggregate number.

Error 2: Using inappropriate proxy data from larger markets. Per-capita consumption rates from the US, UK, or even Brazil often do not translate to Caribbean markets due to different category penetration, income distributions, and consumer preferences. Proxy data from comparable small islands is usually more defensible.

Error 3: Ignoring the informal economy. Formal statistics under-represent informal-economy activity in many categories. This is especially significant in FMCG, services, and small-business categories. Top-down-only estimates in these categories systematically understate true market size.

Error 4: Not adjusting for tourism economy distortion. Tourist arrivals to the Caribbean exceeded 30 million per year before the pandemic and have since exceeded those levels. Sizing methodology should explicitly decide whether to include or exclude tourism-driven consumption.

Error 5: Stale currency conversion. Use the same reference period for all currency conversion within a single estimate, and explicitly document the conversion date.

Error 6: Confusing wholesale and retail value. Distributor-level data and retail-level data are not directly comparable; always clarify which value layer is being reported.

Error 7: Failing to range the estimate. Single-point estimates with no documented uncertainty give decision-makers false precision. Always report a range.

A worked example: sizing a Caribbean FMCG opportunity

Suppose a global FMCG brand is evaluating a Caribbean expansion and needs an addressable market size for a new premium beverage category (USD 10-15 per unit retail). Here is how triangulation works:

Top-down approach:

• Caribbean private consumption: approximately USD 250 billion (2024 estimates, IMF/World Bank aggregation across 30-plus countries and territories)
• Food and beverage share: approximately 18 percent of consumption
• Beverage share within F&B: approximately 12 percent
• Premium beverage share within beverages: estimated 8-15 percent (this is the major uncertainty)
• Top-down estimate: USD 250B times 18% times 12% times 11% (midpoint) = approximately USD 593M

Bottom-up approach:

• Caribbean adult population across target markets: approximately 35 million
• Estimated category penetration: 12 percent (survey-based)
• Average purchase frequency among users: 18 units per year
• Average price per unit: USD 12
• Bottom-up estimate: 35M times 12% times 18 times USD 12 = approximately USD 907M

Competitor-mapping approach:

• Top 4 observable competitors with category presence in Caribbean markets
• Aggregate estimated regional revenue: approximately USD 420M
• Estimated combined share: 60 percent (based on trade interviews and shelf observation)
• Competitor-mapping estimate: USD 420M divided by 60% = USD 700M

Triangulation result: The bottom-up estimate sits higher than the other two. Investigation reveals the survey-based penetration rate may over-state actual usage due to social-desirability bias. Adjusting penetration down to 10 percent produces a bottom-up estimate of USD 756M.

After triangulation: Caribbean addressable market for this premium beverage category is approximately USD 600-800M, with a midpoint estimate around USD 700M. This range captures the methodological uncertainty more honestly than a single number would.

When to commission primary research vs use secondary data

Secondary research is usually sufficient when: the decision is exploratory (early-stage opportunity scoping); the category is well-measured by published statistics; order-of-magnitude estimates are decision-useful; or investment at risk is under USD 5M.

Primary research is usually justified when: the decision is consequential (major investment, market entry, product launch); the category is not well-measured by published statistics; order-of-magnitude estimates are not sufficient; or investment at risk is over USD 10M.

For decisions in the middle range (USD 5-10M of investment risk), a hybrid approach is often optimal: use secondary data for the broad sizing, then commission targeted primary research to validate key assumptions. This is significantly less expensive than full primary research and usually delivers most of the decision value.

How HRG approaches Caribbean market sizing

Caribbean market sizing is one of our most-requested service categories. Our typical engagement includes a data audit and source assessment, multi-method estimation (parallel top-down, bottom-up, and competitor-mapping), targeted consumer surveys, B2B interviews, or retail audits to fill the most consequential data gaps, explicit triangulation and ranging with transparent documentation, and decision-oriented reporting structured for the actual business decision they support.

Related reading

• How to Conduct Market Research in Jamaica: country-specific methodology for the largest Anglo-Caribbean market
• Jamaica FMCG Market 2026: Distribution, Pricing, Top Brands: worked example of category structure that affects sizing
• Choosing a Caribbean Market Research Firm: vendor evaluation framework
• Caribbean Economic Outlook 2026: macro context for sizing work
• Caribbean Market Entry Strategy: broader strategy context
• Caribbean Market Research Services: HRG regional capabilities