Australia AI Machine Learning Market Size and Forecast by Offering, Hardware, Solution, Service, Application, Deployment Model, Organization Size, and End User Industry: 2019-2033

  Dec 2025   | Format: PDF DataSheet |   Pages: 110+ | Type: Niche Industry Report |    Authors: David Gomes (Senior Manager)  

 

Australia AI Machine Learning Market Outlook

  • In 2024, the sector in Australia reached a value of USD 448.8 million.
  • Our market projections estimate the Australia AI Machine Learning Market size is expected to achieve USD 6.68 billion by 2033, supported by a CAGR of 34.5% for the forecast period.
  • DataCube Research Report (Nov 2025): This analysis uses 2024 as the actual year, 2025 as the estimated year, and calculates CAGR for the 2025-2033 period.

Industry Assessment Overview

Industry Findings: The formalisation of voluntary safety guidance has made documented risk-management and guardrails de-facto procurement criteria across public and regulated buyers: the Voluntary AI Safety Standard (Sep-2024) sets ten guardrails and practical implementation steps that buyers now expect vendors to address as part of RFPs, elevating suppliers that bundle explainability, monitoring and incident-playbook services into product offers for government and enterprise customers.

Industry Progression: Major cloud-infrastructure investments are materially expanding usable capacity and partner programmes: Amazon announced an AU$20 billion Australia data-centre investment in Jun-2025, and AWS/Amazon and other hyperscalers’ expansion is delivering more local hosting, green-power sourcing and partner skilling — which directly improves time-to-production for ML workloads and increases demand for managed MLOps and compliance packaging from local integrators.

Industry Player Insights: Government and industry moves to operationalise safety are converting policy into institutional capability: the Australian government announced the establishment of the Australian AI Safety Institute in Nov-2025, intended to evaluate emerging capabilities and support risk-mitigation. That institutionalisation raises the commercial value of vendors that can demonstrate tested safety cases, third-party evaluation readiness and certified deployment blueprints — making such vendors preferred suppliers for large government and regulated-sector engagements.

*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]

Market Scope Framework

Offering

  • Hardware
  • Solution
  • Service

Hardware

  • GPUs
  • TPUs
  • ASICs
  • Edge Inference Devices

Solution

  • Consumption-based Hosted Models & MLaaS (Model APIs, LLMaaS)
  • ML Platforms & MLOps
  • Automated Machine Learning (AutoML & AutoOps)
  • Pre-built Vertical ML Applications
  • ML Governance, Security & Monitoring Tooling

Service

  • Model Customization & Fine-tuning Services
  • Data & Labeling Services
  • Professional Services & SI

Application

  • NLP & Conversational AI
  • Computer Vision
  • Forecasting & Time Series
  • Recommendations & Personalization
  • Control & Robotics

Deployment Model

  • On-premise
  • Cloud-based
  • Hybrid

Organization Size

  • Large Enterprise
  • Mid Enterprise
  • Small Enterprise

End User Industry

  • IT and Telecom
  • Media and Entertainment
  • Energy and Power
  • Transportation and Logistics
  • Healthcare
  • BFSI
  • Retail
  • Manufacturing
  • Public Sector
  • Other
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