F5's 2026 Growth Outlook: Hybrid Multicloud and AI Trends

F5 growth trends in hybrid multicloud and AI spending for fiscal 2026 (FFIV)

1) Hybrid multicloud demand: accelerating, with clear 2026 outlook implications

F5 frames hybrid multicloud as both a long-term strategic architecture and a near-term demand catalyst. Management says hybrid multicloud “has become a strategic architecture, and it is increasing demand across F5's core markets,” with customers scaling digital infrastructure for resiliency, data sovereignty, and readiness for AI. ¹

Market penetration/scale (customer footprint): F5 cites its research that more than 90% of enterprises run hybrid multicloud across an average of 19 locations. ¹ This supports F5’s view that hybrid multicloud is structurally broad-based (not a niche adoption wave), which tends to sustain multi-year demand rather than a one-off project cycle.

Commercial conversion into F5 growth (Q2 evidence):

• In Q2, F5 delivered 11% revenue growth overall. ¹
• Product revenue grew 22% (its “seventh consecutive quarter” of double-digit product growth). ¹
• Within that product growth, systems grew 26% and software grew 17%. ¹

Management explicitly links these results to the hybrid multicloud dynamics: they say they “captured” these tailwinds, and that they “converted hybrid multicloud adoption into meaningful systems and software growth.” ¹

Share/positioning advantage in hybrid multicloud (competitive displacement): F5 also connects its hybrid multicloud positioning to taking share: management notes it is “winning customers from competitors” by replacing point products with a unified approach spanning on-prem, software, and SaaS, which is “easier to operate at scale.” ² While this is not a numeric “hybrid spend” estimate, it is relevant to growth trends because it indicates F5 is not merely riding market growth—it is also converting that spending into higher wallet share.

2026 growth trend (raised outlook): F5 raised its fiscal 2026 revenue growth outlook to 7%–8%, up from 5%–6% previously, attributing the improvement to the secular forces including hybrid multicloud adoption. ¹³ Cooper adds that they “expect these trends to support continued growth for F5 in fiscal 2026 and beyond.” ³

What this implies specifically for hybrid multicloud spending in 2026: While F5 does not publish a direct “hybrid multicloud spend TAM” number, the company’s guidance explicitly treats hybrid multicloud adoption as a continuing demand driver through 2H FY26 and into FY26 overall. ⁴³

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2) AI spending trend: inference-driven tailwind translating into measurable customer traction

F5’s AI-related thesis is specifically tied to AI inference inflection (not just “AI pilots”), and it argues that AI is pushing security and delivery architectures toward distributed, multi-environment designs that resemble hybrid multicloud.

How F5 defines the AI spending trend: Management says organizations are connecting applications/APIs to AI models and that inference calls are becoming a regular part of how applications run. ⁵ They cite research that 78% of enterprises run inference themselves using more than seven models on average. ⁵ That’s an indicator of broad-based production inference workloads—often the stage where enterprise budgets shift from experimentation to sustained infrastructure/security spend.

AI customer traction metrics (first-half FY26):

• F5 reports it had ~$50 million in AI sales in the first half of the year, representing “more than 200% year-on-year.” ⁶
• F5 also states it is “approaching about 100 customers that are using F5 for their AI use cases,” with that being a conservative estimate based on customers they “absolutely know” are using F5 for those AI use cases. ⁶

Three AI use cases where spending is showing up in F5’s revenues: F5 highlights demand building in:

1. Data delivery between data stores and AI models (hardening data pipelines). ⁶
2. AI runtime security for AI applications and models (protecting AI applications, APIs, and models). ⁷⁶
3. AI factory load balancing (GPU/data-center traffic patterns tied to AI infrastructure). ⁷⁶

Management says these AI inference-driven requirements create “substantial opportunity for F5,” and it describes “growing demand” in these areas. ⁶⁸

Direct linkage to hybrid multicloud and AI spend: Management explicitly states the AI inference inflection is being “seen indirectly through hybrid multicloud adoption” and also “directly through our three primary AI use cases.” ⁷ This is important for the question because it means F5 views AI spending growth as complementary to—rather than substituting for—hybrid multicloud spending.

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3) How these trends are expected to shape growth through 2026

F5’s FY26 outlook and commentary tie the macro demand drivers (hybrid multicloud + threat expansion + AI inference) to sustained growth.

Guidance framing (continued secular support):

• F5 raised FY26 revenue growth outlook to 7%–8%. ¹³
• Management states it expects market trends—hybrid multicloud adoption, threat landscape expansion, and AI inference inflection—to drive strong demand for products and services in 2H FY26. ⁴

Q3 as near-term proof point: F5 guided Q3 revenue $820M–$840M (about 6.5% growth at the midpoint), indicating the company expects continued growth momentum during the second half of the fiscal year. ⁴ This matters because AI inference and hybrid multicloud are positioned as ongoing drivers, not merely Q2-specific tailwinds. ⁴³

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Bottom line (growth trends for 2026)

• Hybrid multicloud: F5 describes hybrid multicloud as already pervasive (90%+ of enterprises) and increasingly strategic for resiliency and digital sovereignty, and it links this to strong product growth (Q2 product revenue +22%) and a raised FY26 revenue growth outlook of 7%–8%. ¹
• AI spending (inference-driven): F5 quantifies AI momentum with ~$50M AI sales in 1H FY26 (up >200% YoY) and nearing ~100 AI customers, driven by AI inference requirements across data delivery, AI runtime security, and AI factory load balancing. ⁶
• Combined effect for 2026: F5 expects hybrid multicloud adoption and AI inference to remain active demand drivers through 2H FY26 and into FY26 overall—reflected in the raised guidance and management’s statement that these trends support continued growth “for fiscal 2026 and beyond.” ⁴³