IDC erhöht Prognose für die im OCP erfassten Infrastrukturausgaben bis 2029 um das 2,7-Fache auf 800 Milliarden US-Dollar.

IDC projects annual spending on OCP-recognized IT equipment to reach $800 billion in 2029, up about 2.7 times from its prior forecast of $295 billion for that year, and $892 billion in 2030. Spending is forecast to rise from about $154 billion in 2025 at a roughly 42% CAGR, with AI-related infrastructure accounting for about $628 billion in 2030 and servers about $814 billion. The figures reflect growing AI infrastructure investment and broader adoption of OCP designs; they are forecasts from a study commissioned by the OCP Foundation.

Analysis

The signal is strongest for infrastructure mix, not for broad AI-equity earnings: the forecast implies substantial spending on power, cooling, and networking, but the study is commissioned by OCP and measures equipment meeting its definitions—not independently verified orders or supplier revenue. The sharp revision to the 2029 estimate makes methodology, category coverage, and the prior forecast’s assumptions essential diligence; it is not evidence that demand itself just accelerated by the same amount.

Second-order beneficiaries could include data-center electrical and cooling suppliers such as Eaton, Schneider Electric, and Vertiv, plus networking vendors such as Arista Networks and Broadcom, if spending converts into orders. Open designs may expand the addressable market while standardizing components and intensifying price competition—especially for server hardware—so rising industry spend need not translate into proportionate margins. The concentration of the forecast in servers also leaves the outlook unusually exposed to GPU availability, hyperscaler capex discipline, and AI workload monetization.

Near term, the release may support sentiment but is a weak standalone catalyst. Over 1–3 months, supplier orders, backlog, and hyperscaler capex guidance are better confirmation. Over 6–18 months, grid connections, power availability, and deployment economics could constrain the forecast even if announced projects remain large. The contrarian risk is treating a forecast for recognized equipment as realized, profitable demand; open standards could also redistribute value away from branded hardware. Thesis weakens if suppliers guide down data-center orders/backlog or major buyers cut infrastructure budgets.

Key Decisions for Investors

• Do not trade the forecast revision alone. Treat it as a watch signal and verify the IDC scope and methodology against last year’s study before using the 2.7x revision in estimates.
• Prefer a pullback-entry watchlist in Eaton, Schneider Electric, Vertiv, and Arista Networks over undifferentiated AI exposure; require order/backlog growth and stable margins as confirmation before adding.
• Avoid extrapolating the server-spending forecast into server-maker earnings: open designs may raise volumes while compressing differentiation and pricing. Reassess on company-specific margin guidance and GPU-system demand.
• Falsification checks for the next 1–3 months: hyperscaler capex reductions, weaker data-center order or backlog commentary from equipment suppliers, or evidence that power and grid constraints are delaying deployments.