What is the current size and growth forecast for the Japan Generative AI Market?

The Japan Generative AI Market size is expected to be worth around USD 22,995 Million By 2033, from USD 918 Million in 2023, growing at a CAGR of 38% during the forecast period from 2024 to 2033.

Which components dominate the Japan Generative AI Market?

In 2023, the Software segment held a dominant position in Japan’s Generative AI market, capturing more than a 64.5% share.

What are the main technological advancements driving this market?

Transformers, which excel in handling sequential data and capturing complex patterns, are the leading technology in the market. These models are crucial for applications in natural language processing, image generation, and more

Which industries are the primary adopters of generative AI in Japan?

Media and entertainment lead in adopting generative AI, driven by the need for scalable and efficient content production. Other significant sectors include BFSI, healthcare, IT & telecommunications, and automotive

Who are the key players in Japan generative AI market?

Preferred Networks, Abeja, Cinnamon, Ubie, Ascent Robotics, LeapMind, Stockmark, Studio Ousia, Heroz, Autify

What are the factors driving the Japan generative AI market?

The factors driving the Japan generative AI market include increasing digital transformation initiatives, adoption of AI across various industries, advancements in AI technologies such as transformers and large language models, and significant investments by key players like SoftBank in developing advanced AI infrastructure.

Japan Generative AI Market By Component (Software, Services), By Technology (Generative Adversarial Networks (GANs), Transformers, Variational auto-encoders, Diffusion Networks), By End-use (Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, Gaming, Others), By Application (Computer Vision, NLP, Robotics and Automation, Content Generation, Chatbots and Intelligent Virtual Assistants, Predictive Analytics, Others), By Model (Large Language models, Image & Video generative models, Multi-modal generative models, Others), Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2024-2033

Published date: May 2024
Report ID: 120084
Number of Pages: 223
Format:

- 1. Executive Summary
  - 1.1. Definition
  - 1.2. Taxonomy
  - 1.3. Research Scope
  - 1.4. Key Analysis
  - 1.5. Key Findings by Major Segments
  - 1.6. Top strategies by Major Players
- 2. Japan Generative AI Market Overview
  - 2.1. Japan Generative AI Market Dynamics
    
    2.1.1. Drivers
    
    2.1.2. Opportunities
    
    2.1.3. Restraints
    
    2.1.4. Challenges
  - 2.2. Macro-economic Factors
  - 2.3. Regulatory Framework
  - 2.4. Market Investment Feasibility Index
  - 2.5. PEST Analysis
  - 2.6. PORTER’S Five Force Analysis
  - 2.7. Drivers & Restraints Impact Analysis
  - 2.8. Industry Chain Analysis
  - 2.9. Cost Structure Analysis
  - 2.10. Marketing Strategy
  - 2.11. Russia-Ukraine War Impact Analysis
  - 2.12. Opportunity Map Analysis
  - 2.13. Market Competition Scenario Analysis
  - 2.14. Product Life Cycle Analysis
  - 2.15. Opportunity Orbits
  - 2.16. Manufacturer Intensity Map
  - 2.17. Major Companies sales by Value & Volume
- 3. Japan Generative AI Market Analysis, Opportunity and Forecast, 2016-2032
  - 3.1. Japan Generative AI Market Analysis, 2016-2021
  - 3.2. Japan Generative AI Market Opportunity and Forecast, 2023-2032
  - 3.3. Japan Generative AI Market Analysis, Opportunity and Forecast, By Component, 2016-2032
    
    3.3.1. Japan Generative AI Market Analysis by Component: Introduction
    
    3.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Component, 2016-2032
    
    3.3.3. Software
    
    3.3.4. Services
  - 3.4. Japan Generative AI Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
    
    3.4.1. Japan Generative AI Market Analysis by Technology: Introduction
    
    3.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
    
    3.4.3. Generative Adversarial Networks (GANs)
    
    3.4.4. Transformers
    
    3.4.5. Variational auto-encoders
    
    3.4.6. Diffusion Networks
  - 3.5. Japan Generative AI Market Analysis, Opportunity and Forecast, By End-use, 2016-2032
    
    3.5.1. Japan Generative AI Market Analysis by End-use: Introduction
    
    3.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By End-use, 2016-2032
    
    3.5.3. Media & Entertainment
    
    3.5.4. BFSI
    
    3.5.5. IT & Telecommunication
    
    3.5.6. Healthcare
    
    3.5.7. Automotive & Transportation
    
    3.5.8. Gaming
    
    3.5.9. Others
  - 3.6. Japan Generative AI Market Analysis, Opportunity and Forecast, By Application, 2016-2032
    
    3.6.1. Japan Generative AI Market Analysis by Application: Introduction
    
    3.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
    
    3.6.3. Computer Vision
    
    3.6.4. NLP
    
    3.6.5. Robotics and Automation
    
    3.6.6. Content Generation
    
    3.6.7. Chatbots and Intelligent Virtual Assistants
    
    3.6.8. Predictive Analytics
    
    3.6.9. Others
  - 3.7. Japan Generative AI Market Analysis, Opportunity and Forecast, By Model, 2016-2032
    
    3.7.1. Japan Generative AI Market Analysis by Model: Introduction
    
    3.7.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Model, 2016-2032
    
    3.7.4. Large Language models
    
    3.7.5. Image & Video generative models
    
    3.7.6. Multi-modal generative models
    
    3.7.7. Others
- 4. Japan Generative AI Market Competitive Landscape, Market Share Analysis, and Company Profiles
  - 4.1. Market Share Analysis
  - 4.2. Company Profiles
  - 4.3. Preferred Networks
    
    4.3.1. Company Overview
    
    4.3.2. Financial Highlights
    
    4.3.3. Product Portfolio
    
    4.3.4. SWOT Analysis
    
    4.3.5. Key Strategies and Developments
  - 4.4. Abeja
    
    4.4.1. Company Overview
    
    4.4.2. Financial Highlights
    
    4.4.3. Product Portfolio
    
    4.4.4. SWOT Analysis
    
    4.4.5. Key Strategies and Developments
  - 4.5. Cinnamon
    
    4.5.1. Company Overview
    
    4.5.2. Financial Highlights
    
    4.5.3. Product Portfolio
    
    4.5.4. SWOT Analysis
    
    4.5.5. Key Strategies and Developments
  - 4.6. Ubie
    
    4.6.1. Company Overview
    
    4.6.2. Financial Highlights
    
    4.6.3. Product Portfolio
    
    4.6.4. SWOT Analysis
    
    4.6.5. Key Strategies and Developments
  - 4.7. Ascent Robotics
    
    4.7.1. Company Overview
    
    4.7.2. Financial Highlights
    
    4.7.3. Product Portfolio
    
    4.7.4. SWOT Analysis
    
    4.7.5. Key Strategies and Developments
  - 4.8. LeapMind
    
    4.8.1. Company Overview
    
    4.8.2. Financial Highlights
    
    4.8.3. Product Portfolio
    
    4.8.4. SWOT Analysis
    
    4.8.5. Key Strategies and Developments
  - 4.9. Stockmark
    
    4.9.1. Company Overview
    
    4.9.2. Financial Highlights
    
    4.9.3. Product Portfolio
    
    4.9.4. SWOT Analysis
    
    4.9.5. Key Strategies and Developments
  - 4.10. Studio Ousia
    
    4.10.1. Company Overview
    
    4.10.2. Financial Highlights
    
    4.10.3. Product Portfolio
    
    4.10.4. SWOT Analysis
    
    4.10.5. Key Strategies and Developments
  - 4.11. Heroz
    
    4.11.1. Company Overview
    
    4.11.2. Financial Highlights
    
    4.11.3. Product Portfolio
    
    4.11.4. SWOT Analysis
    
    4.11.5. Key Strategies and Developments
  - 4.12. Autify
    
    4.12.1. Company Overview
    
    4.12.2. Financial Highlights
    
    4.12.3. Product Portfolio
    
    4.12.4. SWOT Analysis
    
    4.12.5. Key Strategies and Developments
- 11. Assumptions and Acronyms
- 12. Research Methodology
- 13. Contact
- Preferred Networks
- Abeja
- Cinnamon
- Ubie
- Ascent Robotics
- LeapMind
- Stockmark
- Studio Ousia
- Heroz
- Autify
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