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1747142

日本生成人工智慧市場規模、佔有率、趨勢及預測（按產品類型、技術類型、應用和地區），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: 2025年06月02日 | 出版商:

IMARC | 英文 115 Pages | 商品交期: 5-7個工作天內

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簡介目錄

2024年，日本生成式人工智慧市場規模達8.635億美元。展望未來， IMARC Group預計到2033年，該市場規模將達到36.975億美元，2025-2033年期間的複合年成長率（CAGR）為17.50%。影像、視訊和語音生成技術的持續進步，醫療保健和媒體等行業應用的日益普及，自動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意解決方案日益成長的需求，正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趨勢：

醫療保健和藥物研發領域生成式人工智慧的興起

日本的醫療保健產業正在迅速整合生成式人工智慧，以加速藥物發現、醫學影像和病患診斷。生成對抗網路 (GAN) 和自動編碼器等人工智慧驅動的模型正用於生成合成醫療資料，有助於疾病預測和治療最佳化。製藥公司正在利用人工智慧來縮短藥物開發時間，可能大幅削減研究成本。醫院和研究機構正在利用人工智慧進行醫學影像增強，幫助放射科醫生以更高的準確度檢測異常，這推動了日本生成式人工智慧市場的成長。日本推動人工智慧驅動的醫療保健創新與政府的社會 5.0 願景一致，強調智慧醫療保健解決方案。例如，軟銀公司、SB Intuitions Corp. 和中外製藥株式會社於 2025 年 1 月 30 日宣布簽署合作備忘錄，共同研究生成式人工智慧在臨床開發程序中的應用。此次合作旨在為製藥業打造人工智慧代理和大型語言模型，以提高臨床試驗的生產力和效率。最終目標是加快新藥研發，更快為患者提供尖端治療。監管框架正在不斷發展，以確保醫學領域的人工智慧應用符合倫理標準。隨著日本繼續推動人工智慧驅動的醫療保健轉型，對生成型人工智慧解決方案的需求預計將不斷成長，這將促進科技公司與醫療服務提供者之間的合作，以改善患者治療效果並簡化醫學研究。

生成式人工智慧重塑日本媒體與娛樂產業

生成式人工智慧正在改變日本的媒體和娛樂格局，徹底革新內容創作、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、簡化動畫工作流程、自動化腳本編寫並降低工作室的製作成本。以豐富的故事情節和精妙的動畫而聞名的日本動漫產業正擴大融入人工智慧，以創造高品質的角色設計和背景。遊戲公司正在利用人工智慧生成的素材來增強真實感並最佳化遊戲開發流程。例如，日本貿易振興機構 (JETRO) 於 2025 年 2 月 25 日宣布，十家日本遊戲相關企業將進駐 2025 年遊戲開發者大會 (GDC) 的日本展館。 GDC 將於 3 月 19 日至 21 日在舊金山舉行。除了提供一個包含 40 多家日本開發商 70 多款遊戲的展示區外，該展館還將展示中間件、人工智慧編輯器和獨立遊戲等各種產品。此外，來自40多家合作公司的遊戲也加入了JETRO在Steam上推出的「GDC 2025 - 日本製造合集」。此外，人工智慧驅動的語音合成正在重塑配音行業，實現逼真的配音和自動旁白。串流媒體平台正在利用人工智慧來個人化內容推薦並提升用戶參與度。隨著人工智慧生成內容日益複雜，圍繞原創性和版權保護的倫理問題正在透過監管討論得到解決。隨著生成人工智慧的快速發展，日本娛樂產業正準備迎接一個充滿創造力、效率和創新的新時代，這將對日本生成人工智慧市場前景產生積極影響。

日本生成式人工智慧市場區隔：

產品類型洞察：

影像
影片
演講
其他

技術類型洞察：

自動編碼器
生成對抗網路
其他

應用程式洞察：

衛生保健
生成智慧
媒體和娛樂
其他

競爭格局：

市場研究報告也對競爭格局進行了全面的分析。報告涵蓋了市場結構、關鍵參與者定位、最佳制勝策略、競爭儀錶板和公司評估象限等競爭分析。此外，報告還提供了所有主要公司的詳細資料。

本報告回答的關鍵問題：

日本生成式人工智慧市場目前表現如何？未來幾年會如何表現？
根據提供類型，日本生成式人工智慧市場是如何分類的？
日本生成式人工智慧市場如何按技術類型分類？
日本生成式人工智慧市場如何根據應用情況分類？
日本生成式人工智慧市場按地區分類的分佈如何？
日本生成式人工智慧市場的價值鏈分為哪些階段？
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？主要參與者是誰？
日本生成式人工智慧市場的競爭程度如何？

本報告回答的關鍵問題：

日本生成式人工智慧市場目前表現如何？未來幾年會如何表現？
根據提供類型，日本生成式人工智慧市場是如何分類的？
日本生成式人工智慧市場如何按技術類型分類？
日本生成式人工智慧市場如何根據應用情況分類？
日本生成式人工智慧市場按地區分類的分佈如何？
日本生成式人工智慧市場的價值鏈分為哪些階段？
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？主要參與者是誰？
日本生成式人工智慧市場的競爭程度如何？

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?

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