Japan Generative AI Market | Analysis 2019-2032

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

Avalibale Format*:   Pivot  |  ReportID: AI4224  |  Coverage: COUNTRY | Type: DataBook
Category: Information Technology  |  Sub-Category: Artificial Intelligence
Published Date: May 2024   |  US$290  |

Japan Generative AI Market Snapshot

Japan Generative AI Market

  • Revenue in the Japan generative AI market amounts to US$ 3.53 billion in 2024. The market is likely to grow annually by 26.02% (CAGR 2024-2032).
  • In the generative AI market in Japan, the service segment value is expected to stand at US$ 3.90 billion by 2032.
  • Among varied segment, the on-premise solutions segment is anticipated to remain dominant in 2024 with 61.04% market share in Japan.
  • In the Japan, 35.37% of total revenue will be generated through IT and Telecom end user by 2032.
  • Operational expansion, acquisitions, mergers, and strategic partnerships are the key strategies employed by major players market to expand their regional presence in the Japan generative AI market. For instance, in April 2024, Japanese telecom company SoftBank announced a significant investment of 150 billion yen ($960 million) by 2025. This investment is aimed at enhancing its computing facilities to achieve the computational power necessary for developing cutting-edge generative artificial intelligence technology.
  • Further, in August 2023, Google announced the expansion of its generative AI search feature to India and Japan, marking them as the first countries outside the US to receive this new functionality. Named Search Generative Experience (SGE), this AI-powered search tool aims to simplify information discovery by offering an overview with links for deeper exploration.

Japan Generative AI Industry Coverage

Analysis Period

2019 – 2032

Actual Data

2019 – 2023

Base Year


Estimated Year


CAGR Period

2024 – 2032

Research Scope


  • 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


  • 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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