Composite map of B2B market readiness across 22 Asia-Pacific economies. A small cluster of hubs scores at the top and readiness falls away sharply below them.
B2B market readiness across 22 APAC economies. Four hubs clear the bar; the rest drops away. Source: World Bank Open Data (CC BY 4.0). Composite analysis: TeakCharge.
Chart comparing GDP scale against B2B readiness. China and India are the largest markets by GDP but sit mid-pack on readiness.
China and India lead on size and sit mid-pack on readiness, so market size is the wrong first filter for an entrant. Source: World Bank Open Data (CC BY 4.0). Analysis: TeakCharge.
Ranked bar chart of inbound foreign direct investment. Singapore and Hong Kong together take close to half of the region's inbound FDI.
Singapore and Hong Kong draw about 47% of the region's inbound FDI, out-pulling far larger economies, because capital routes through hubs, not markets. Source: World Bank Open Data (CC BY 4.0).
Item-gap chart showing internet reach running ahead of bank and mobile-account ownership in several Southeast Asian markets.
In Indonesia, the Philippines, and Vietnam, online reach runs ahead of the ability to pay, so a B2C entrant's real constraint is monetisation, not audience. Source: World Bank Open Data (CC BY 4.0).

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How the composites are built

Equal weights, on purpose. Each lens averages the World Bank series named in the sheet, min-max normalised across the 22 economies. The sheet is copy-enabled: set your own weights and re-rank the field in minutes.

What that means in practice:

  • Every metric carries its data year; the range runs 2016 to 2025 because that is what the World Bank publishes.
  • A missing component is flagged, filled with the set average, and marked as such.
  • Anything with no clean redistributable source, deal counts and corporate tax among them, is named in the sheet and left out rather than filled from a restricted source.
  • The full construction and every source sit in the sheet's Sources and Methodology tab.

Read the order as indicative, not precise. Three limits are worth stating rather than burying:

  • Every score is scaled against the strongest and weakest performer in this group of 22. One runaway leader compresses the rest, and a different set of markets would shift the positions even where a market's own numbers had not moved.
  • Filling a gap with the group average pulls that market toward the middle, so the markets with the thinnest data are the ones whose position is least firm.
  • A single score can blend figures published years apart, so it is a latest-available read rather than a snapshot of one moment.

Use it to shortlist and to argue, not to separate two markets sitting a place apart. Set your own weights in the sheet and see how much the order actually holds.

Want the weights set for your sector, or a second read on your two priority markets? Start a conversation.

Licence and attribution

Download, share, quote, and republish, including commercially, under the source data's own licence, provided you keep the attribution. Use either form:

  • Short form (chart caption or slide): Source: World Bank Open Data (CC BY 4.0). Composite analysis and exhibit: TeakCharge.
  • Full form (page or report): APAC Go-to-Market Country Intelligence by TeakCharge, https://teakcharge.com. Underlying data: World Bank Open Data (World Development Indicators, Worldwide Governance Indicators, Global Findex), licensed CC BY 4.0. Composite indices are TeakCharge analysis. Free to use with attribution.

The World Bank does not endorse TeakCharge or this analysis. The composite indices are a transparent, equal-weight default, not a claim that every factor matters equally to every entrant. Figures carry the reference-year lag of their source. This is market intelligence, not investment advice.