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市場調查報告書
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1922811

日本生成式人工智慧市場規模、佔有率、趨勢及預測（按交付形式、技術類型、應用和地區分類，2026-2034年）

Japan Generative AI Market Size, Share, Trends and Forecast by Offering Type, Technology Type, Application, and Region, 2026-2034
出版日期: | 出版商: IMARC | 英文 115 Pages | 商品交期: 5-7個工作天內

價格
簡介目錄

2025年，日本生成式人工智慧市場規模達10.146億美元。 IMARC Group預測，到2034年，該市場規模將達到40.495億美元，2026年至2034年的複合年成長率（CAGR）為16.63%。影像、影片和音訊生成技術的不斷進步，以及這些技術在醫療保健和媒體等行業的日益普及，加上自編碼器和生成對抗網路（GAN）等技術的融合，以及對人工智慧驅動的自動化和創造性解決方案日益成長的需求，都在顯著擴大日本生成式人工智慧的市場佔有率。

日本生成式人工智慧市場的發展趨勢：

生成式人工智慧在醫學和藥物發現領域的崛起

日本醫療保健產業正迅速整合生成式人工智慧（AI），以加速藥物研發、醫學影像診斷和病患診斷。諸如生成對抗網路（GAN）和自編碼器等AI驅動模型正被用於生成合成醫學數據，從而助力疾病預測和治療方法最佳化。製藥公司正利用AI加速藥物研發並大幅降低研發成本。醫院和研究機構正利用AI提升醫學影像清晰度，幫助放射科醫師提升異常檢測的準確性，進而推動日本生成式AI市場的成長。日本對AI驅動的醫療創新的推動與政府強調智慧醫療解決方案的「社會5.0」計劃相契合。例如，Softbank Corporation集團、SB Intuitions公司和中外製藥株式會社於2025年1月30日簽署了一份合作備忘錄，共同探索在臨床開發過程中應用生成式AI。此次合作旨在開發專為製藥業設計的AI代理和大規模語言模型，以提高臨床試驗的效率和生產力。其最終目標是加速新藥研發，讓患者更快獲得最先進治療。法規結構也不斷完善，以確保AI在醫療保健領域的應用符合倫理標準。隨著日本推動AI主導的醫療保健轉型，對生成式AI解決方案的需求預計將會成長，這將進一步促進科技公司與醫療服務提供者之間的合作，從而改善患者預後並簡化醫學研究流程。

生成式人工智慧正在改變日本的媒體和娛樂產業

生成式人工智慧正在改變日本的媒體和娛樂產業，革新內容創作、動畫和數位藝術。人工智慧工具正被用於產生超逼真的視覺效果、簡化動畫製作流程、實現劇本自動化以及降低工作室的製作成本。動畫宣布，10家遊戲相關公司將在2025年3月19日至21日於舊金山舉行的遊戲開發者大會（GDC）日本館參展。展館將參展一個遊戲相關企業區，展示來自40多家日本開發商的70多款遊戲，以及包括中間件、人工智慧編輯器和獨立遊戲在內的各種展品。此外，JETRO在Steam平台推出的「GDC 2025-MADE IN JAPAN COLLECTION」收錄了來自40多家合作公司的遊戲。同時，人工智慧驅動的語音合成技術正在改變配音產業，實現逼真的配音和自動旁白。串流媒體平台也正在利用人工智慧技術進行個人化內容推薦，提升用戶參與度。隨著人工智慧生成的內容日趨複雜，原創性和版權保護等倫理問題正透過監管討論得到解決。生成式人工智慧的快速發展有望為日本娛樂產業開啟一個充滿創造力、效率和創新力的新時代，這對日本生成式人工智慧市場的前景有正面影響。

本報告解答的關鍵問題

  • 日本生成式人工智慧市場的趨勢和未來前景如何？
  • 日本人工智慧市場按交付方式分類的構成比是怎樣的？
  • 日本生成式人工智慧市場按技術類型分類的情況如何？
  • 日本生成式人工智慧市場按應用領域分類的組成是怎樣的？
  • 日本生成式人工智慧市場按地區分類的情況如何？
  • 請介紹一下日本生成式人工智慧市場價值鏈的各個階段。
  • 日本生成式人工智慧市場的主要促進因素和挑戰是什麼？
  • 日本生成式人工智慧市場的結構是怎麼樣的？主要參與者有哪些？
  • 日本生成式人工智慧市場競爭有多激烈？

目錄

第1章：序言

第2章：調查範圍與調查方法

  • 調查目標
  • 相關利益者
  • 數據來源
  • 市場估值
  • 調查方法

第3章執行摘要

第4章 日本生成式人工智慧市場：引言

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭資訊

第5章：日本生成式人工智慧市場：現狀

  • 過去和當前的市場趨勢（2020-2025）
  • 市場預測（2026-2034）

第6章 日本生成式人工智慧市場－依產品類型分類

  • 影像
  • 影片
  • 聲音的
  • 其他

第7章 日本生成式人工智慧市場－依技術類型分類

  • 自編碼器
  • 生成對抗網路
  • 其他

第8章：日本生成式人工智慧市場：按應用領域細分

  • 衛生保健
  • 生成智慧
  • 媒體與娛樂
  • 其他

第9章：日本生成式人工智慧市場：按地區分類

  • 關東地區
  • 關西、近畿地區
  • 中部地區
  • 九州和沖繩地區
  • 東北部地區
  • 中國地區
  • 北海道地區
  • 四國地區

第10章：日本生成式人工智慧市場：競爭格局

  • 概述
  • 市場結構
  • 市場公司定位
  • 關鍵成功策略
  • 競爭對手儀錶板
  • 企業估值象限

第11章主要企業概況

第12章：日本生成式人工智慧市場：產業分析

  • 促進因素、限制因素和機遇
  • 波特五力分析
  • 價值鏈分析

第13章附錄

簡介目錄
Product Code: SR112026A31711

The Japan generative AI market size reached USD 1,014.6 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 4,049.5 Million by 2034, exhibiting a growth rate (CAGR) of 16.63% during 2026-2034. The ongoing advancements in image, video, and speech generation, increasing adoption across industries like healthcare and media, integration of technologies such as autoencoders and GANs, and rising demand for AI-driven automation and creative solutions are significantly expanding the Japan generative AI market share.

JAPAN GENERATIVE AI MARKET TRENDS:

Rise of Generative AI in Healthcare and Drug Discovery

Japan's healthcare sector is rapidly integrating generative AI to accelerate drug discovery, medical imaging, and patient diagnostics. AI-driven models, such as Generative Adversarial Networks (GANs) and autoencoders, are being used to generate synthetic medical data, aiding in disease prediction and treatment optimization. Pharmaceutical companies are leveraging AI to reduce drug development timelines, potentially cutting research costs significantly. Hospitals and research institutions are utilizing AI for medical image enhancement, helping radiologists detect abnormalities with higher accuracy which is fueling Japan generative AI market growth. Japan's push for AI-driven healthcare innovation aligns with the government's Society 5.0 vision, emphasizing smart healthcare solutions. For instance, SoftBank Corp., SB Intuitions Corp., and Chugai Pharmaceutical Co., Ltd. announced a Memorandum of Understanding on January 30, 2025, to work together to investigate the use of generative AI in clinical development procedures. The goal of this partnership is to create AI agents and a big language model specifically for the pharmaceutical sector in order to increase clinical trial productivity and efficiency. The ultimate objective is to expedite the development of new drugs and provide patients with cutting-edge treatments more quickly. Regulatory frameworks are evolving to ensure AI applications in medicine maintain ethical standards. As Japan continues its AI-driven transformation in healthcare, the demand for generative AI solutions is expected to grow, fostering collaborations between tech firms and healthcare providers to enhance patient outcomes and streamline medical research.

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Generative AI Reshaping Japan's Media and Entertainment Industry

Generative AI is transforming Japan's media and entertainment landscape, revolutionizing content creation, animation, and digital art. AI-powered tools are being used to generate hyper-realistic visuals, streamline animation workflows, automate scriptwriting, and reducing production costs for studios. Japan's anime industry, known for its rich storytelling and intricate animation, is increasingly integrating AI to create high-quality character designs and backgrounds. Gaming companies are utilizing AI-generated assets to enhance realism and optimize game development processes. For instance, the Japan External Trade Organization (JETRO) declared on February 25, 2025, that ten Japanese game-related businesses would be hosted at the Japan Pavilion at the Game Developers Conference (GDC) 2025, which would take place in San Francisco from March 19 to 21. In addition to offering a demo area with more than 70 game titles from more than 40 Japanese developers, the pavilion will showcase a wide variety of items, such as middleware, AI editors, and independent games. Additionally, games from more than 40 collaborating firms are part of the "GDC 2025 - MADE IN JAPAN COLLECTION" that JETRO has offered on Steam. Additionally, AI-driven voice synthesis is reshaping the voice acting industry, allowing for realistic dubbing and automated narration. Streaming platforms are leveraging AI to personalize content recommendations and enhance user engagement. As AI-generated content becomes more sophisticated, ethical concerns surrounding originality and copyright protection are being addressed through regulatory discussions. With generative AI advancing rapidly, Japan's entertainment industry is poised for a new era of creativity, efficiency, and innovation, which is positively impacting the Japan generative AI market outlook.

JAPAN GENERATIVE AI MARKET SEGMENTATION:

Offering Type Insights:

  • Image
  • Video
  • Speech
  • Others
  • Image
  • Video
  • Speech
  • Others

Technology Type Insights:

  • Autoencoders
  • Generative Adversarial Networks
  • Others
  • Autoencoders
  • Generative Adversarial Networks
  • Others

Application Insights:

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  • Healthcare
  • Generative Intelligence
  • Media and Entertainment
  • Others
  • Healthcare
  • Generative Intelligence
  • Media and Entertainment
  • Others

Regional Insights:

  • Kanto Region
  • Kansai/Kinki Region
  • Central/Chubu Region
  • Kyushu-Okinawa Region
  • Tohoku Region
  • Chugoku Region
  • Hokkaido Region
  • Shikoku Region
  • Kanto Region
  • Kansai/Kinki Region
  • Central/Chubu Region
  • Kyushu-Okinawa Region
  • Tohoku Region
  • Chugoku Region
  • Hokkaido Region
  • Shikoku Region
  • The report has also provided a comprehensive analysis of all the major regional markets, which include Kanto Region, Kansai/Kinki Region, Central/Chubu Region, Kyushu-Okinawa Region, Tohoku Region, Chugoku Region, Hokkaido Region, and Shikoku Region.

COMPETITIVE LANDSCAPE:

The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

  • KEY QUESTIONS ANSWERED IN THIS REPORT
  • How has the Japan generative AI market performed so far and how will it perform in the coming years?
  • What is the breakup of the Japan generative AI market on the basis of offering type?
  • What is the breakup of the Japan generative AI market on the basis of technology type?
  • What is the breakup of the Japan generative AI market on the basis of application?
  • What is the breakup of the Japan generative AI market on the basis of region?
  • What are the various stages in the value chain of the Japan generative AI market?
  • What are the key driving factors and challenges in the Japan generative AI market?
  • What is the structure of the Japan generative AI market and who are the key players?
  • What is the degree of competition in the Japan generative AI market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Japan Generative AI Market - Introduction

  • 4.1 Overview
  • 4.2 Market Dynamics
  • 4.3 Industry Trends
  • 4.4 Competitive Intelligence

5 Japan Generative AI Market Landscape

  • 5.1 Historical and Current Market Trends (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Generative AI Market - Breakup by Offering Type

  • 6.1 Image
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Video
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)
  • 6.3 Speech
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2020-2025)
    • 6.3.3 Market Forecast (2026-2034)
  • 6.4 Others
    • 6.4.1 Historical and Current Market Trends (2020-2025)
    • 6.4.2 Market Forecast (2026-2034)

7 Japan Generative AI Market - Breakup by Technology Type

  • 7.1 Autoencoders
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 Generative Adversarial Networks
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)
  • 7.3 Others
    • 7.3.1 Historical and Current Market Trends (2020-2025)
    • 7.3.2 Market Forecast (2026-2034)

8 Japan Generative AI Market - Breakup by Application

  • 8.1 Healthcare
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 Generative Intelligence
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)
  • 8.3 Media and Entertainment
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2020-2025)
    • 8.3.3 Market Forecast (2026-2034)
  • 8.4 Others
    • 8.4.1 Historical and Current Market Trends (2020-2025)
    • 8.4.2 Market Forecast (2026-2034)

9 Japan Generative AI Market - Breakup by Region

  • 9.1 Kanto Region
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2020-2025)
    • 9.1.3 Market Breakup by Offering Type
    • 9.1.4 Market Breakup by Technology Type
    • 9.1.5 Market Breakup by Application
    • 9.1.6 Key Players
    • 9.1.7 Market Forecast (2026-2034)
  • 9.2 Kansai/Kinki Region
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Breakup by Offering Type
    • 9.2.4 Market Breakup by Technology Type
    • 9.2.5 Market Breakup by Application
    • 9.2.6 Key Players
    • 9.2.7 Market Forecast (2026-2034)
  • 9.3 Central/ Chubu Region
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2020-2025)
    • 9.3.3 Market Breakup by Offering Type
    • 9.3.4 Market Breakup by Technology Type
    • 9.3.5 Market Breakup by Application
    • 9.3.6 Key Players
    • 9.3.7 Market Forecast (2026-2034)
  • 9.4 Kyushu-Okinawa Region
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2020-2025)
    • 9.4.3 Market Breakup by Offering Type
    • 9.4.4 Market Breakup by Technology Type
    • 9.4.5 Market Breakup by Application
    • 9.4.6 Key Players
    • 9.4.7 Market Forecast (2026-2034)
  • 9.5 Tohoku Region
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2020-2025)
    • 9.5.3 Market Breakup by Offering Type
    • 9.5.4 Market Breakup by Technology Type
    • 9.5.5 Market Breakup by Application
    • 9.5.6 Key Players
    • 9.5.7 Market Forecast (2026-2034)
  • 9.6 Chugoku Region
    • 9.6.1 Overview
    • 9.6.2 Historical and Current Market Trends (2020-2025)
    • 9.6.3 Market Breakup by Offering Type
    • 9.6.4 Market Breakup by Technology Type
    • 9.6.5 Market Breakup by Application
    • 9.6.6 Key Players
    • 9.6.7 Market Forecast (2026-2034)
  • 9.7 Hokkaido Region
    • 9.7.1 Overview
    • 9.7.2 Historical and Current Market Trends (2020-2025)
    • 9.7.3 Market Breakup by Offering Type
    • 9.7.4 Market Breakup by Technology Type
    • 9.7.5 Market Breakup by Application
    • 9.7.6 Key Players
    • 9.7.7 Market Forecast (2026-2034)
  • 9.8 Shikoku Region
    • 9.8.1 Overview
    • 9.8.2 Historical and Current Market Trends (2020-2025)
    • 9.8.3 Market Breakup by Offering Type
    • 9.8.4 Market Breakup by Technology Type
    • 9.8.5 Market Breakup by Application
    • 9.8.6 Key Players
    • 9.8.7 Market Forecast (2026-2034)

10 Japan Generative AI Market - Competitive Landscape

  • 10.1 Overview
  • 10.2 Market Structure
  • 10.3 Market Player Positioning
  • 10.4 Top Winning Strategies
  • 10.5 Competitive Dashboard
  • 10.6 Company Evaluation Quadrant

11 Profiles of Key Players

  • 11.1 Company A
    • 11.1.1 Business Overview
    • 11.1.2 Services Offered
    • 11.1.3 Business Strategies
    • 11.1.4 SWOT Analysis
    • 11.1.5 Major News and Events
  • 11.2 Company B
    • 11.2.1 Business Overview
    • 11.2.2 Services Offered
    • 11.2.3 Business Strategies
    • 11.2.4 SWOT Analysis
    • 11.2.5 Major News and Events
  • 11.3 Company C
    • 11.3.1 Business Overview
    • 11.3.2 Services Offered
    • 11.3.3 Business Strategies
    • 11.3.4 SWOT Analysis
    • 11.3.5 Major News and Events
  • 11.4 Company D
    • 11.4.1 Business Overview
    • 11.4.2 Services Offered
    • 11.4.3 Business Strategies
    • 11.4.4 SWOT Analysis
    • 11.4.5 Major News and Events
  • 11.5 Company E
    • 11.5.1 Business Overview
    • 11.5.2 Services Offered
    • 11.5.3 Business Strategies
    • 11.5.4 SWOT Analysis
    • 11.5.5 Major News and Events

12 Japan Generative AI Market - Industry Analysis

  • 12.1 Drivers, Restraints, and Opportunities
    • 12.1.1 Overview
    • 12.1.2 Drivers
    • 12.1.3 Restraints
    • 12.1.4 Opportunities
  • 12.2 Porters Five Forces Analysis
    • 12.2.1 Overview
    • 12.2.2 Bargaining Power of Buyers
    • 12.2.3 Bargaining Power of Suppliers
    • 12.2.4 Degree of Competition
    • 12.2.5 Threat of New Entrants
    • 12.2.6 Threat of Substitutes
  • 12.3 Value Chain Analysis

13 Appendix