New Zealand 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)  

 

New Zealand AI Machine Learning Market Outlook

  • In 2024, the New Zealand market value stood at USD 79.6 million.
  • Our forecast scenarios estimate the New Zealand AI Machine Learning Market will be USD 1.32 billion by 2033, registering a CAGR of 36.8% over the forecast horizon.
  • 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 national AI strategy is positioning the public sector as a disciplined early adopter and a procurer that prioritises trust, explainability and demonstrable public benefit; the New Zealand National AI Strategy (Jul-2025) directs agencies to require accountable, proportionate AI approaches that reduce procurement uncertainty and encourage vendors to embed governance and skilling into product offers before commercial selection.

Industry Progression: Practical public-service guidance is turning strategy into deployable standards: the Public Service AI Framework (Jan-2025) provides agencies with implementation guidance for safe AI use and reporting; by operationalising the national strategy, it creates procurement levers that favour suppliers offering audit-ready MLOps, provenance logging and agency-aligned training — accelerating the conversion of responsible PoCs into production systems.

Industry Player Insights: Local market dynamics reward vendors who combine sovereignty, domain know-how and accessible compute: New Zealand agencies and research bodies prefer partners that can co-deliver skilling, on-shore deployment options and reproducible testbeds; vendors that align to the Public Service AI Framework and provide demonstrable agency pilots with verifiable audit trails gain faster procurement traction across health, agriculture and public services.

*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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