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市场调查报告书
商品编码
1747142

日本生成人工智慧市场规模、份额、趋势及预测（按产品类型、技术类型、应用和地区），2025 年至 2033 年

Japan Generative AI Market Size, Share, Trends and Forecast by Offering Type, Technology Type, Application, and Region, 2025-2033
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

2024年，日本生成式人工智慧市场规模达8.635亿美元。展望未来， IMARC Group预计到2033年，该市场规模将达到36.975亿美元，2025-2033年期间的复合年增长率（CAGR）为17.50%。影像、视讯和语音生成技术的持续进步，医疗保健和媒体等行业应用的日益普及，自动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意解决方案日益增长的需求，正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趋势：

医疗保健和药物研发领域生成式人工智慧的兴起

日本的医疗保健产业正在迅速整合生成式人工智慧，以加速药物发现、医学影像和病患诊断。生成对抗网路 (GAN) 和自动编码器等人工智慧驱动的模型正用于生成合成医疗资料，有助于疾病预测和治疗最佳化。製药公司正在利用人工智慧来缩短药物开发时间，可能大幅削减研究成本。医院和研究机构正在利用人工智慧进行医学影像增强，帮助放射科医生以更高的准确度检测异常，这推动了日本生成式人工智慧市场的成长。日本推动人工智慧驱动的医疗保健创新与政府的社会 5.0 愿景一致，强调智慧医疗保健解决方案。例如，软银公司、SB Intuitions Corp. 和中外製药株式会社于 2025 年 1 月 30 日宣布签署谅解备忘录，共同研究生成式人工智慧在临床开发程序中的应用。此次合作旨在为製药业打造人工智慧代理和大型语言模型，以提高临床试验的生产力和效率。最终目标是加快新药研发，更快为患者提供尖端治疗。监管框架正在不断发展，以确保医学领域的人工智慧应用符合伦理标准。随着日本继续推动人工智慧驱动的医疗保健转型，对生成型人工智慧解决方案的需求预计将不断增长，这将促进科技公司与医疗服务提供者之间的合作，以改善患者治疗效果并简化医学研究。

生成式人工智慧重塑日本媒体与娱乐产业

生成式人工智慧正在改变日本的媒体和娱乐格局，彻底革新内容创作、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、简化动画工作流程、自动化脚本编写并降低工作室的製作成本。以丰富的故事情节和精妙的动画而闻名的日本动漫产业正越来越多地融入人工智慧，以创造高品质的角色设计和背景。游戏公司正在利用人工智慧生成的素材来增强真实感并优化游戏开发流程。例如，日本贸易振兴机构 (JETRO) 于 2025 年 2 月 25 日宣布，十家日本游戏相关企业将进驻 2025 年游戏开发者大会 (GDC) 的日本展馆。 GDC 将于 3 月 19 日至 21 日在旧金山举行。除了提供一个包含 40 多家日本开发商 70 多款游戏的展示区外，该展馆还将展示中间件、人工智慧编辑器和独立游戏等各种产品。此外，来自40多家合作公司的游戏也加入了JETRO在Steam上推出的「GDC 2025 - 日本製造合集」。此外，人工智慧驱动的语音合成正在重塑配音行业，实现逼真的配音和自动旁白。串流媒体平台正在利用人工智慧来个人化内容推荐并提升用户参与度。随着人工智慧生成内容日益复杂，围绕原创性和版权保护的伦理问题正在透过监管讨论得到解决。随着生成人工智慧的快速发展，日本娱乐产业正准备迎接一个充满创造力、效率和创新的新时代，这将对日本生成人工智慧市场前景产生积极影响。

日本生成式人工智慧市场区隔：

产品类型洞察：

  • 影像
  • 影片
  • 演讲
  • 其他的

技术类型洞察：

  • 自动编码器
  • 生成对抗网络
  • 其他的

应用程式洞察：

  • 卫生保健
  • 生成智能
  • 媒体和娱乐
  • 其他的

竞争格局：

市场研究报告也对竞争格局进行了全面的分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪錶板和公司评估象限等竞争分析。此外，报告还提供了所有主要公司的详细资料。

本报告回答的关键问题：

  • 日本生成式人工智慧市场目前表现如何？未来几年会如何表现？
  • 根据提供类型，日本生成式人工智慧市场是如何分類的？
  • 日本生成式人工智慧市场如何按技术类型划分？
  • 日本生成式人工智慧市场如何根据应用情况划分？
  • 日本生成式人工智慧市场按地区分類的分布如何？
  • 日本生成式人工智慧市场的价值链分为哪些阶段？
  • 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？主要参与者是谁？
  • 日本生成式人工智慧市场的竞争程度如何？

本报告回答的关键问题：

  • 日本生成式人工智慧市场目前表现如何？未来几年会如何表现？
  • 根据提供类型，日本生成式人工智慧市场是如何分類的？
  • 日本生成式人工智慧市场如何按技术类型划分？
  • 日本生成式人工智慧市场如何根据应用情况划分？
  • 日本生成式人工智慧市场按地区分類的分布如何？
  • 日本生成式人工智慧市场的价值链分为哪些阶段？
  • 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？主要参与者是谁？
  • 日本生成式人工智慧市场的竞争程度如何？

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：日本生成人工智慧市场 - 简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章：日本生成人工智慧市场格局

  • 历史与当前市场趋势（2019-2024）
  • 市场预测（2025-2033）

第六章：日本生成式人工智慧市场 - 细分：依产品类型

  • 影像
    • 概述
  • 影片
    • 概述
  • 演讲
    • 概述
  • 其他的

第七章：日本生成式人工智慧市场 - 细分：按技术类型

  • 自动编码器
    • 概述
  • 生成对抗网络
    • 概述
  • 其他的

第 8 章：日本生成人工智慧市场 - 细分：按应用

  • 卫生保健
    • 概述
  • 生成智能
    • 概述
  • 媒体和娱乐
    • 概述
  • 其他的

第九章：日本生成人工智慧市场－竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳获胜策略
  • 竞争仪錶板
  • 公司评估象限

第十章：关键参与者简介

  • Company A
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company B
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company C
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company D
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company E
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events

第 11 章：日本生成人工智慧市场 - 产业分析

  • 驱动因素、限制因素和机会
    • 概述
    • 驱动程式
    • 限制
    • 机会
  • 波特五力分析
    • 概述
    • 买家的议价能力
    • 供应商的议价能力
    • 竞争程度
    • 新进入者的威胁
    • 替代品的威胁
  • 价值链分析

第 12 章：附录

简介目录
Product Code: SR112025A31711

The Japan generative AI market size reached USD 863.5 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 3,697.5 Million by 2033, exhibiting a growth rate (CAGR) of 17.50% during 2025-2033. 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.

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

Technology Type Insights:

  • Autoencoders
  • Generative Adversarial Networks
  • Others

Application Insights:

  • Healthcare
  • Generative Intelligence
  • Media and Entertainment
  • Others

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 (2019-2024)
  • 5.2 Market Forecast (2025-2033)

6 Japan Generative AI Market - Breakup by Offering Type

  • 6.1 Image
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 Video
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)
  • 6.3 Speech
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2019-2024)
    • 6.3.3 Market Forecast (2025-2033)
  • 6.4 Others
    • 6.4.1 Historical and Current Market Trends (2019-2024)
    • 6.4.2 Market Forecast (2025-2033)

7 Japan Generative AI Market - Breakup by Technology Type

  • 7.1 Autoencoders
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2019-2024)
    • 7.1.3 Market Forecast (2025-2033)
  • 7.2 Generative Adversarial Networks
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 7.2.3 Market Forecast (2025-2033)
  • 7.3 Others
    • 7.3.1 Historical and Current Market Trends (2019-2024)
    • 7.3.2 Market Forecast (2025-2033)

8 Japan Generative AI Market - Breakup by Application

  • 8.1 Healthcare
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2019-2024)
    • 8.1.3 Market Forecast (2025-2033)
  • 8.2 Generative Intelligence
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2019-2024)
    • 8.2.3 Market Forecast (2025-2033)
  • 8.3 Media and Entertainment
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2019-2024)
    • 8.3.3 Market Forecast (2025-2033)
  • 8.4 Others
    • 8.4.1 Historical and Current Market Trends (2019-2024)
    • 8.4.2 Market Forecast (2025-2033)

9 Japan Generative AI Market - Competitive Landscape

  • 9.1 Overview
  • 9.2 Market Structure
  • 9.3 Market Player Positioning
  • 9.4 Top Winning Strategies
  • 9.5 Competitive Dashboard
  • 9.6 Company Evaluation Quadrant

10 Profiles of Key Players

  • 10.1 Company A
    • 10.1.1 Business Overview
    • 10.1.2 Services Offered
    • 10.1.3 Business Strategies
    • 10.1.4 SWOT Analysis
    • 10.1.5 Major News and Events
  • 10.2 Company B
    • 10.2.1 Business Overview
    • 10.2.2 Services Offered
    • 10.2.3 Business Strategies
    • 10.2.4 SWOT Analysis
    • 10.2.5 Major News and Events
  • 10.3 Company C
    • 10.3.1 Business Overview
    • 10.3.2 Services Offered
    • 10.3.3 Business Strategies
    • 10.3.4 SWOT Analysis
    • 10.3.5 Major News and Events
  • 10.4 Company D
    • 10.4.1 Business Overview
    • 10.4.2 Services Offered
    • 10.4.3 Business Strategies
    • 10.4.4 SWOT Analysis
    • 10.4.5 Major News and Events
  • 10.5 Company E
    • 10.5.1 Business Overview
    • 10.5.2 Services Offered
    • 10.5.3 Business Strategies
    • 10.5.4 SWOT Analysis
    • 10.5.5 Major News and Events

11 Japan Generative AI Market - Industry Analysis

  • 11.1 Drivers, Restraints, and Opportunities
    • 11.1.1 Overview
    • 11.1.2 Drivers
    • 11.1.3 Restraints
    • 11.1.4 Opportunities
  • 11.2 Porters Five Forces Analysis
    • 11.2.1 Overview
    • 11.2.2 Bargaining Power of Buyers
    • 11.2.3 Bargaining Power of Suppliers
    • 11.2.4 Degree of Competition
    • 11.2.5 Threat of New Entrants
    • 11.2.6 Threat of Substitutes
  • 11.3 Value Chain Analysis

12 Appendix