Asia Pacific is now 34 percent of measured finance AI interest, growing more than twice as fast as North America.
The cause is not enterprise software adoption. It is language. Models reached near parity on multilingual benchmarks during the window.
Twelve of the fifteen fastest growing economies for AI adoption since June 2025 sit in Asia.
34 geographies · revenue $100M to $5B · window Aug 2024 to Jul 2026 · Q3 2026 editionSeven regions, and the one with the highest index score has the slowest growth.
North America still holds the highest regional index at 80, because index measures how developed intent is rather than how much of it there is.
| Region | Share | 12 month change | Regional index |
|---|---|---|---|
| Asia Pacific | 34.0% | +69% | 64 |
| North America | 27.0% | +32% | 80 |
| Western Europe | 19.0% | +43% | 70 |
| Middle East | 7.0% | +67% | 72 |
| Latin America | 6.0% | +59% | 54 |
| Central & Eastern Europe | 4.0% | +68% | 57 |
| Africa | 3.0% | +67% | 48 |
Share · 12 month change · regional index. Modelled priors built from the published diffusion research listed at the foot of this page.
34 markets, sized equally and shaded by index, so intensity is not hidden behind land area.
A conventional map gives Russia and Canada more ink than Singapore. Here every market gets one tile and the shade carries the score.
Singapore at 86 and the United Arab Emirates at 84 lead on intensity while holding only 3.5 and 3.6 percent of global volume between them.
A live Google Trends pull run against the model agrees on the headline and disagrees on one country.
The published Demand Index is a modelled prior. Alongside it, ChatFin ran a measured pull across eight keyword groups at country resolution.
That pull covered 141 countries, cross checked against ChatFin's own Search Console data across 240 countries and 22,482 clicks.
34 countries by share of measured global finance AI intent.
Share is volume, index is intensity. They rank differently on purpose, and the divergences are the interesting part.
| # | Country | Region | Share | Index | 12 mo |
|---|---|---|---|---|---|
| 1 | United States | North America | 22.3% | 82 | +31% |
| 2 | India | Asia Pacific | 10.4% | 77 | +72% |
| 3 | United Kingdom | Western Europe | 6.8% | 79 | +37% |
| 4 | Canada | North America | 4.7% | 73 | +38% |
| 5 | Australia | Asia Pacific | 3.6% | 75 | +41% |
| 6 | United Arab Emirates | Middle East | 3.6% | 84 | +68% |
| 7 | Singapore | Asia Pacific | 3.5% | 86 | +49% |
| 8 | Germany | Western Europe | 3.3% | 68 | +44% |
| 9 | Japan | Asia Pacific | 3.1% | 61 | +66% |
| 10 | Philippines | Asia Pacific | 2.8% | 65 | +81% |
| 11 | Brazil | Latin America | 2.7% | 56 | +57% |
| 12 | Indonesia | Asia Pacific | 2.6% | 57 | +94% |
| 13 | Malaysia | Asia Pacific | 2.1% | 64 | +63% |
| 14 | Saudi Arabia | Middle East | 2.1% | 66 | +79% |
| 15 | Netherlands | Western Europe | 2.0% | 76 | +42% |
| 16 | South Korea | Asia Pacific | 1.9% | 63 | +77% |
| 17 | France | Western Europe | 1.9% | 61 | +48% |
| 18 | Mexico | Latin America | 1.8% | 54 | +61% |
| 19 | Poland | Central & Eastern Europe | 1.7% | 62 | +74% |
| 20 | South Africa | Africa | 1.7% | 53 | +46% |
| 21 | Vietnam | Asia Pacific | 1.5% | 55 | +88% |
| 22 | Colombia | Latin America | 1.5% | 49 | +64% |
| 23 | China | Asia Pacific | 1.4% | 46 | +34% |
| 24 | Turkey | Central & Eastern Europe | 1.4% | 51 | +66% |
| 25 | Ireland | Western Europe | 1.3% | 74 | +39% |
| 26 | Nigeria | Africa | 1.3% | 44 | +83% |
| 27 | Thailand | Asia Pacific | 1.1% | 52 | +71% |
| 28 | Switzerland | Western Europe | 1.1% | 70 | +36% |
| 29 | Spain | Western Europe | 1.0% | 58 | +52% |
| 30 | Sweden | Western Europe | 0.9% | 72 | +40% |
| 31 | Romania | Central & Eastern Europe | 0.9% | 48 | +59% |
| 32 | Israel | Middle East | 0.8% | 71 | +33% |
| 33 | Belgium | Western Europe | 0.7% | 67 | +55% |
| 34 | Qatar | Middle East | 0.5% | 65 | +58% |
Both punch well above what GDP per capita predicts, and both have explicit national AI strategies.
The fastest growing markets are not buying through procurement
Indonesia leads at 94 percent from a 2.6 percent share. India appears at 72 percent on the modelled series, the one figure the measured pull contradicts.
The global index peaked in Q1 2026 and eased 4 percent. Asia Pacific did not turn at all.
North America fell 8 percent from its peak and Western Europe fell 3 percent. Asia Pacific carried on climbing through Q2 2026.
| Quarter | Global | Asia Pacific | North America | Western Europe |
|---|---|---|---|---|
| Q3 2024 | 100 | 100 | 100 | 100 |
| Q4 2024 | 118 | 124 | 114 | 112 |
| Q1 2025 | 149 | 163 | 138 | 141 |
| Q2 2025 | 186 | 211 | 165 | 173 |
| Q3 2025 | 231 | 271 | 197 | 212 |
| Q4 2025 | 288 | 349 | 234 | 258 |
| Q1 2026 | 341 | 428 | 262 | 297 |
| Q2 2026 | 327 | 431 | 241 | 289 |
Rebased quarterly, Aug 2024 = 100. Agent related search demand across all topics grew roughly 22 times from 2022-23 to 2025-26, peaked around early 2026, then pulled back about 40 percent.
The finance cut fell far less, which is what a market moving from speculation into deployment looks like.
Copilot share maps onto Microsoft estate density. ChatGPT share maps onto where enterprise licensing is thin.
| Region | G1 | G2 | G3 | G4 | G5 | G6 | G7 | G8 |
|---|---|---|---|---|---|---|---|---|
| Asia Pacific | 33% | 21% | 17% | 7% | 5% | 10% | 5% | 2% |
| North America | 28% | 24% | 13% | 12% | 6% | 9% | 6% | 2% |
| Western Europe | 30% | 22% | 12% | 12% | 5% | 10% | 7% | 2% |
| Middle East | 34% | 22% | 15% | 7% | 4% | 10% | 6% | 2% |
| Latin America | 35% | 19% | 18% | 6% | 3% | 11% | 6% | 2% |
| Central & Eastern Europe | 34% | 20% | 16% | 8% | 4% | 11% | 5% | 2% |
| Africa | 36% | 17% | 19% | 5% | 3% | 12% | 6% | 2% |
G1 AI for X · G2 AI agents for X · G3 ChatGPT for X · G4 Copilot for X · G5 Claude for X · G6 X AI automation · G7 best AI tools for X · G8 X AI cost or ROI
Copilot queries take 12 percent of demand in North America and Western Europe, and 5 to 8 percent everywhere else.
ChatGPT share is the mirror image, running 17 to 19 percent across Asia Pacific, Latin America and Africa.
Where enterprise licensing is thinner, individual adoption fills the gap.
What the country level data shows that the regional averages hide.
State level AI use varies by nine points inside one country, wider than the gap between several regions.
| State | Share of US finance AI intent |
|---|---|
| California | 14.2% |
| Texas | 9.1% |
| New York | 8.4% |
| Florida | 6.3% |
| Illinois | 4.6% |
| Washington | 3.9% |
| Georgia | 3.6% |
| Massachusetts | 3.4% |
| New Jersey | 3.1% |
| Pennsylvania | 3.0% |
| North Carolina | 2.9% |
| Virginia | 2.7% |
| Ohio | 2.5% |
| Arizona | 2.2% |
| Colorado | 2.1% |
| Rest of United States | 28.0% |
Validation anchor: one study cited alongside the Census BTOS data found 22.4 percent of workers in Washington state use AI against 13.1 percent in South Dakota. Share of intent by state.
How this was measured, and what it cannot tell you.
Google Trends normalises to 100 within a single comparison only, so 34 separate comparisons produce 34 incomparable scales.
A constant anchor term in every batch is what makes chaining possible, and skipping it is the most common error in published Trends research.
Window
Segment
What it measures
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Every figure marked traces to one of these. Full citations are held with the edition dataset and re-verified each quarter.
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This index measures where finance AI demand sits and how little of it is running.
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Source: ChatFin CFO Office AI Intent Index, Q3 2026 edition, geography cut. 34 geographies, revenue segment $100M to $5B, window August 2024 to July 2026. Demand figures are modelled priors checked against a measured Google Trends pull across 141 countries and against ChatFin Search Console data across 240 countries.
Figures are directional and refreshed quarterly.