Gartner: Australian orgs to spend over $33b on public cloud in 2026

By Jason Pollock on May 11, 2026 2:14PM
Gartner: Australian orgs to spend over $33b on public cloud in 2026

Australian organisations are expected to spend more than A$33.6 billion on public cloud services in 2026, an increase of 17.9% from 2025, according to the latest forecast from Gartner.

Software-as-a-service (SaaS) remains the largest spending category for Australian organisations in 2026, forecast to reach almost A$16.4 billion.

This 13.8% increase marks slower growth over 2025 as the market matures, with organisations prioritising license optimisation, slower seat growth and tighter application portfolio scrutiny.

Cloud System Infrastructure Services (IaaS) is the fastest growing category (24.1%) year over year in terms of spending, while Cloud Application Infrastructure Services (PaaS) is also seeing strong growth with forecasted growth of 20.9%.

Australian Public Cloud Services End-User Spending, 2025-2026 (Millions of AUD)

Segment

2025 Spending

2025

Growth (%)

2026 Spending

2026

Growth (%)

Cloud Application Infrastructure Services (PaaS)

 

8,265

 

23.1%

 

9,996

 

20.9%

Cloud Application Services (SaaS)

14,386

15.0%

16,377

13.8%

Cloud Desktop-as-a-Service (DaaS)

141

8.9%

155

9.7%

Cloud System Infrastructure Services (IaaS)

 

5,717

 

23.5%

 

7,092

 

24.1%

Total

28,508

18.9%

33,619

17.9%

Source: Gartner (May 2026)

"AI‑driven demand for high‑performance cloud infrastructure is changing how Australian organisations are prioritising cloud spending this year,” said Adrian Wong, Director Analyst at Gartner.

“While AI compute demands are driving rapid IaaS growth, the ultimate goal for Australian organisations is business value. As the market shifts from early AI experimentation to real-time inference and agentic AI, organisations are relying heavily on robust PaaS environments to manage autonomous workflows and integrate them into core applications.”

Wong said that the increasing focus on cloud efficiency this year is also underpinning AI infrastructure strategies.

“There’s a shift toward inference-optimised approaches as organisations fine-tune smaller domain-specific models instead of relying on larger general purpose LLMs," he said.

"Many are turning to hybrid cloud architectures to push this processing to the edge, which lowers cloud costs while still supporting automation at scale.”

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