New Zealand Generative AI Market | Analysis 2019-2032

New Zealand Generative AI Market Analysis, Size, and Forecast by Component, Deployment Model, Business Function, Technique, End User: 2019-2032

Avalibale Format*:   Pivot  |  ReportID: AI4221  |  Coverage: COUNTRY | Type: DataBook
Category: Information Technology  |  Sub-Category: Artificial Intelligence
Published Date: April 2024   |  US$290  |

New Zealand Generative AI Market Snapshot

New Zealand Generative AI Market


  • In 2024, the New Zealand generative AI market is expected to achieve a market value of US$ 503.4 million.
  • This market in New Zealand is projected to register a compound annual growth rate (CAGR) of 23.83% from 2024 to 2032, resulting in a forecasted market value of US$ 2,782.9 million by the end of 2032.
  • When analyzed at a segmental level, in the New Zealand generative AI market, the hardware segment is expected to generate the highest revenue in 2024.
  • In the New Zealand market, the largest end user sector will be IT and Telecom, with a total market value of US$ 185.1 million in 2024.
  • Competitive advantage in the New Zealand generative AI market is pursued by leading players through strategies such as partnerships, mergers, acquisitions, and product launches. For instance, in April 2024, Software Combined Group, headquartered in Sydney, acquired Activate, a self-service automation and business process specialist based in Auckland. This acquisition marks Software Combined Group's establishment of a permanent presence in New Zealand.
  • In November 2023, One NZ developed a new generative AI solution utilizing AWS AI services, including Amazon SageMaker, which is a fully managed service for building, training, and deploying machine learning models, along with AWS Lambda, a serverless compute service.

New Zealand Generative AI Industry Coverage

Analysis Period

2019 – 2032

Actual Data

2019 – 2023

Base Year

2023

Estimated Year

2024

CAGR Period

2024 – 2032

Research Scope

Component

  • Hardware
  • Software
  • Service

Deployment Model

  • On-premise Solutions
  • Cloud-based Solutions
  • Hybrid Solutions

Business Function

  • Marketing and sales
  • Customer operations
  • Product R&D
  • Software engineering
  • Supply chain and operations
  • Risk and legal
  • Strategy and finance
  • Corporate IT
  • Talent and organization

Technique

  • Generative Modelling Techniques
  • Text-Based Techniques
  • Code-Based Techniques

End User

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