IDC 2025–2029 AI Spending Forecast: Agentic AI to Exceed 26% of Worldwide IT Spend by 2029

See also (wiki): token-economics · assistive-to-agentic-shift · ai-maturity-models

Vendor caveat: IDC (International Data Corporation) is a market research firm that generates revenue from forecast subscriptions and advisory services tied to technology spending growth. Spending forecasts have an inherent structural bias toward higher estimates, as growth narratives sustain subscriptions. The CAGR and absolute spending figures should be treated as directional — the magnitude and timing of agentic AI adoption may vary significantly from the forecast model. Credibility rating: MEDIUM — IDC is a recognized industry forecaster with proprietary methodology; forecasts are models, not measurements.

⚠️ TEMPORAL NOTE: This forecast was published August 2025 and covers 2025–2029. The near-term figures (2025 baseline) are already subject to verification against current data. The 2029 endpoint figures are 4-year projections and should be cited as forecasts, not current findings.

Executive Summary

• AI IT spending CAGR 2025–2029: 31.9% per year — one of the strongest sustained growth forecasts IDC has issued for any technology category.
• Total AI IT spending by 2029: $1.3 trillion. Current (2025) baseline: $307 billion across global enterprises.
• Agentic AI projected to exceed 26% of worldwide IT spending by 2029 — from a near-zero share today.
• AI-enabled applications will outpace all other spending categories, creating major competitive shifts in the software industry.
• Traditional (non-AI) IT infrastructure investment will plateau; future spend shifting to efficiency and consolidation.
• Worldwide IT spending overall to increase 10% in 2026 — “one of the strongest years for the industry since the 1990s” per IDC.

Methodology

• Publisher: IDC (International Data Corporation)
• Report: “Worldwide Artificial Intelligence IT Spending Market Forecast 2025–2029” (Aug 2025)
• Supplementary: Separate IDC release on AI infrastructure (prUS53894425)
• Method: Proprietary IDC forecast model — tracking enterprise spending across hardware, software, services, and AI-specific categories
• Source tier: TIER 3 for forecast figures (directional, model-based); TIER 1 for current spending baselines where drawn from enterprise expenditure data

Key Data Points

Four Spending Categories

IDC identifies four major areas where AI IT spending will concentrate:

1. Infrastructure Build-Out — Service providers will represent 80% of infrastructure expenditure through 2029. The build-out is primarily for agentic workloads, which require substantially more compute than assistive GenAI. AI infrastructure spending is forecast to reach $758 billion by 2029 (separate IDC release).

2. Agent Construction and Control — IDC projects a logarithmic (approximately 10x) increase in the quantity and complexity of third-party and custom AI agents used by enterprises over five years. This is the category most difficult to forecast — agent complexity and pricing models are still being established.

3. AI-Enabled Applications — Spending on AI-enabled applications is forecast to outpace all other categories. This implies major software vendor shifts: applications that do not embed AI will lose market position to those that do. IDC’s framing (“major competitive shifts in the software industry”) is consistent with Gartner’s August 2025 forecast that 40% of enterprise applications will feature task-specific agents by end of 2026.

4. AI IT and Business Services — Service providers are described as “most profoundly affected” — both as infrastructure hosts and as delivery intermediaries for AI-enabled professional services.

Traditional IT Plateau

IDC’s forecast creates an implicit reallocation story: traditional server and storage spending will plateau, with future investment shifting to efficiency and consolidation rather than growth. The implication for IT budget planning: growth dollars will flow to AI categories while legacy infrastructure enters maintenance mode.

For mid-market CIOs, this has a practical implication — the technology refresh cycles built around traditional server economics are being replaced by AI spending cycles with very different cost structures (compute intensity, token pricing, API consumption), different vendors, and different ROI timelines.

Cross-reference: IDC’s CAGR projection (31.9%) and the Gartner finding that only 44% of organizations have adopted AI FinOps practices suggest a structural misalignment: spending is accelerating faster than the financial control systems designed to manage it.

Context and Limitations

The IDC forecast should be used to establish scale and direction — not to anchor specific dollar commitments. Forecast models in emerging technology categories systematically underestimate disruption on the downside and overestimate smooth adoption curves. The 2029 endpoint is four years out; agentic AI adoption curves, pricing model evolution, and compute cost trajectories will determine whether the $1.3 trillion figure is reached early, late, or at all.

The more durable insight from this forecast is the relative ranking: agentic AI is projected as the dominant growth category, AI-enabled applications will outpace infrastructure in the mid-term, and traditional IT spending decelerates. That directional ordering is likely to hold even if the specific figures shift.

Sources

Raw source file: sources/05-analyst-firms/idc-agentic-ai-spending-forecast-2025-raw.md