Asia Pacific spending on AI will reach $5.5B in 2019, up 80% YoY, and will reach $15B in 2022, led by the retail industry
Why Standards Are Critical to Improving Artificial Intelligence
Context & Ripple Effects
Two years after McKinsey counted US firms at 66% of global AI investment and China at 17%, IDC is putting a number on the rest of Asia Pacific: $5.5B in 2019, growing 80% YoY toward $15B by 2022. The notable detail is who leads — not tech firms doing R&D, as McKinsey found dominated earlier spending, but the retail industry buying applied systems.
The forecast also reads differently in hindsight: four years later, IDC's global spending forecast had grown to $154B for 2023 alone, meaning this regional projection was an early data point in a curve that kept being revised upward.
First-order effects
- AI vendors selling into Asia Pacific get a demand signal anchored in a named vertical — retail — shifting their regional go-to-market from research partnerships toward deployable merchandising, inventory, and customer-facing systems.
- Retailers across the region face a widening gap against early adopters as peer budgets compound at 80% annually.
Second-order effects
- Regional systems integrators and cloud providers compete to capture implementation work, since vertical buyers like retailers buy outcomes rather than models — pulling services revenue ahead of software licensing in the region.
- Vendors that concentrated sales capacity on US and Chinese tech buyers per the McKinsey-era distribution must staff Southeast Asian and other APAC markets or cede them to local competitors.
Third-order effects
- The shift from tech-firm R&D spending (90% of the McKinsey-era total) to vertical operational budgets marks AI becoming a line item in ordinary P&Ls rather than a lab expense — the precondition for the much larger spending base IDC and others projected later.
- Sustained regional adoption feeds the compute buildout that later coverage tied to thin vendor margins and a projected revenue shortfall against infrastructure costs, raising the question of whether vertical buyers' willingness to pay can fund the stack beneath them.
The trend: Enterprise AI spending is diffusing from US- and China-based tech firms into regional vertical industries, turning AI from an R&D bet into an operating cost that compounds year over year.