查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1922811

日本生成式人工智慧市场规模、份额、趋势及预测（按交付形式、技术类型、应用和地区划分，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个工作天内

价格
简介目录

2025年，日本生成式人工智慧市场规模达10.146亿美元。 IMARC集团预测，到2034年，该市场规模将达到40.495亿美元，2026年至2034年的复合年增长率（CAGR）为16.63%。影像、影片和音讯生成技术的不断进步，以及这些技术在医疗保健和媒体等行业的日益普及，加上自编码器和生成对抗网路（GAN）等技术的融合，以及对人工智慧驱动的自动化和创造性解决方案日益增长的需求，都在显着扩大日本生成式人工智慧的市场份额。

日本生成式人工智慧市场的发展趋势：

生成式人工智慧在医学和药物发现领域的崛起

日本医疗保健产业正迅速整合生成式人工智慧（AI），以加速药物研发、医学影像诊断和病患诊断。诸如生成对抗网络（GAN）和自编码器等AI驱动模型正被用于生成合成医学数据，从而助力疾病预测和治疗方法优化。製药公司正利用AI加速药物研发并大幅降低研发成本。医院和研究机构正利用AI提升医学影像清晰度，帮助放射科医师提升异常检测的准确性，进而推动日本生成式AI市场的成长。日本对AI驱动的医疗创新的推动与政府强调智慧医疗解决方案的「社会5.0」计划相契合。例如，Softbank Corporation集团、SB Intuitions公司和中外製药株式会社于2025年1月30日签署了一份谅解备忘录，共同探索在临床开发过程中应用生成式AI。此次合作旨在开发专为製药业设计的AI代理和大规模语言模型，以提高临床试验的效率和生产力。其最终目标是加速新药研发，让患者更快获得最先进治疗。法规结构也不断完善，以确保AI在医疗保健领域的应用符合伦理标准。随着日本推动AI主导的医疗保健转型，对生成式AI解决方案的需求预计将会成长，这将进一步促进科技公司与医疗服务提供者之间的合作，从而改善患者预后并简化医学研究流程。

生成式人工智慧正在改变日本的媒体和娱乐产业

生成式人工智慧正在改变日本的媒体和娱乐产业，革新内容创作、动画和数位艺术。人工智慧工具正被用于产生超逼真的视觉效果、简化动画製作流程、实现剧本自动化以及降低工作室的製作成本。动画宣布，10家游戏相关公司将在2025年3月19日至21日于旧金山举行的游戏开发者大会（GDC）日本馆参展。展馆将参展一个游戏相关企业区，展示来自40多家日本开发商的70多款游戏，以及包括中间件、人工智慧编辑器和独立游戏在内的各种展品。此外，JETRO在Steam平台推出的「GDC 2025-MADE IN JAPAN COLLECTION」收录了来自40多家合作公司的游戏。同时，人工智慧驱动的语音合成技术正在改变配音产业，实现逼真的配音和自动旁白。串流媒体平台也正在利用人工智慧技术进行个人化内容推荐，提升用户参与度。随着人工智慧生成的内容日趋复杂，原创性和版权保护等伦理问题正透过监管讨论得到解决。生成式人工智慧的快速发展有望为日本娱乐产业开启一个充满创造力、效率和创新力的新时代，这对日本生成式人工智慧市场的前景有正面影响。

本报告解答的关键问题

  • 日本生成式人工智慧市场的趋势和未来前景如何？
  • 日本人工智慧市场按交付方式分類的构成比是怎样的？
  • 日本生成式人工智慧市场按技术类型分類的情况如何？
  • 日本生成式人工智慧市场按应用领域分類的组成是怎样的？
  • 日本生成式人工智慧市场按地区分類的情况如何？
  • 请介绍一下日本生成式人工智慧市场价值链的各个阶段。
  • 日本生成式人工智慧市场的主要驱动因素和挑战是什么？
  • 日本生成式人工智慧市场的结构是怎么样的？主要参与者有哪些？
  • 日本生成式人工智慧市场竞争有多激烈？

目录

第一章：序言

第二章：调查范围与调查方法

  • 调查目标
  • 相关利益者
  • 数据来源
  • 市场估值
  • 调查方法

第三章执行摘要

第四章 日本生成式人工智慧市场：引言

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争资讯

第五章：日本生成式人工智慧市场：现状

  • 过去和当前的市场趋势（2020-2025）
  • 市场预测（2026-2034）

第六章 日本生成式人工智慧市场－依产品类型划分

  • 影像
  • 影片
  • 声音的
  • 其他的

第七章 日本生成式人工智慧市场－依技术类型划分

  • 自编码器
  • 生成对抗网络
  • 其他的

第八章：日本生成式人工智慧市场：按应用领域细分

  • 卫生保健
  • 生成智能
  • 媒体与娱乐
  • 其他的

第九章：日本生成式人工智慧市场：按地区划分

  • 关东地区
  • 关西、近畿地区
  • 中部地区
  • 九州和冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

第十章：日本生成式人工智慧市场：竞争格局

  • 概述
  • 市场结构
  • 市场公司定位
  • 关键成功策略
  • 竞争对手仪錶板
  • 企业估值象限

第十一章主要企业概况

第十二章：日本生成式人工智慧市场：产业分析

  • 驱动因素、限制因素和机会
  • 波特五力分析
  • 价值链分析

第十三章附录

简介目录
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.

To get more information on this market Request Sample

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:

  • Access the comprehensive market breakdown Request Sample
  • 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