日本の人工知能チップ市場レポート：チップタイプ、技術、処理タイプ、用途、業界別、地域別、2025年～2033年

日本の人工知能チップ市場の市場規模は2024年に8億6,400万米ドルに達しました。今後、IMARC Groupは、市場は2033年までに87億7,700万米ドルに達し、2025～2033年の成長率（CAGR）は29.4％を示すと予測しています。人工知能に大きく依存する自律走行車とADAS（先進運転支援システム）の需要増加が市場を牽引しています。

本レポートで扱う主な質問

• 日本の人工知能チップ市場はこれまでどのように推移し、今後どのように推移するのか？
• COVID-19が日本の人工知能チップ市場に与えた影響は？
• 日本の人工知能チップ市場のチップタイプ別内訳は？
• 日本の人工知能チップ市場の技術別内訳は？
• 日本の人工知能チップ市場の処理タイプ別内訳は？
• 日本の人工知能チップ市場の用途別内訳は？
• 日本の人工知能チップ市場の産業別内訳は？
• 日本の人工知能チップ市場のバリューチェーンにはどのような段階があるのか？
• 日本の人工知能チップの主な促進要因と課題は何か？
• 日本の人工知能チップ市場の構造と主要プレーヤーは？
• 日本の人工知能チップ市場における競合の程度は？

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査の目的
• ステークホルダー
• データソース
• 市場推定
• 調査手法

第3章 エグゼクティブサマリー

第4章 日本の人工知能チップ市場：イントロダクション

• 概要
• 市場力学
• 業界動向
• 競合情報

第5章 日本の人工知能チップ市場情勢

• 過去および現在の市場動向（2019年～2024年）
• 市場予測（2025-2033）

第6章 日本の人工知能チップ市場：チップタイプ別の内訳

• GPU
• ASIC
• FPGA
• CPU
• その他

第7章 日本の人工知能チップ市場：技術別内訳

• システムオンチップ（SoC）
• システムインパッケージ（SIP）
• マルチチップモジュール
• その他

第8章 日本の人工知能チップ市場：処理タイプ別の内訳

• エッジ
• クラウド

第9章 日本の人工知能チップ市場：用途別の内訳

• 自然言語処理（NLP）
• ロボット工学
• コンピュータビジョン
• ネットワークセキュリティ
• その他

第10章 日本の人工知能チップ市場：業界別の内訳

• メディアと広告
• BFSI
• ITおよび通信
• 小売り
• ヘルスケア
• 自動車・輸送
• その他

第11章 日本の人工知能チップ市場：競合情勢

• 概要
• 市場構造
• 市場プレーヤーのポジショニング
• 主要成功戦略
• 競合ダッシュボード
• 企業評価象限

第12章 主要企業のプロファイル

第13章 日本の人工知能チップ市場：業界分析

• 促進要因・抑制要因・機会
• ポーターのファイブフォース分析
• バリューチェーン分析

第14章 付録

Japan artificial intelligence chip market size reached USD 864 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 8,777 Million by 2033, exhibiting a growth rate (CAGR) of 29.4% during 2025-2033. The increasing demand for autonomous vehicles and advanced driver-assistance systems (ADAS), which relies heavily on artificial intelligence, is driving the market.

An artificial intelligence (AI) chip, also known as a neural processing unit (NPU) or AI accelerator, is a specialized microprocessor designed to accelerate AI and machine learning tasks. Unlike traditional central processing units (CPUs) or graphics processing units (GPUs), AI chips are optimized for the specific computational demands of AI algorithms. These chips feature a high degree of parallelism and can perform tasks like deep learning, natural language processing, and computer vision much faster and more efficiently than general-purpose hardware. They often incorporate dedicated hardware for matrix multiplication and neural network inference, which are common operations in AI workloads. AI chips are crucial in enabling the widespread adoption of AI technologies in applications ranging from self-driving cars and healthcare diagnostics to recommendation systems and virtual assistants. Their efficiency and speed make AI more accessible and practical, driving innovation in various industries and paving the way for advancements in AI research and applications.

Japan Artificial Intelligence Chip Market Trends:

The artificial intelligence chip market in Japan is experiencing robust growth due to several key drivers. Firstly, the increasing demand for AI-driven applications across various industries, including healthcare, automotive, and finance, has propelled the need for specialized hardware. Consequently, this has led to a surge in investments in AI chip development. Moreover, the exponential growth of data generated by IoT devices and digital platforms necessitates efficient processing capabilities, and AI chips offer the requisite computational power. Additionally, advancements in machine learning algorithms and deep learning techniques are driving the demand for AI chips, as they require hardware acceleration to perform complex tasks rapidly. Furthermore, AI chips are becoming more energy-efficient, addressing concerns about environmental sustainability and reducing operational costs for businesses. This efficiency is partly attributed to the development of smaller, more compact AI chips with higher processing capacities. In conclusion, the regional AI chip market's growth is driven by the increasing demand for AI-powered applications, the growing volume of data, algorithmic advancements, and energy-efficient hardware solutions. These factors collectively underscore the significance of AI chips in shaping the future of AI technologies.

Japan Artificial Intelligence Chip Market Segmentation:

Chip Type Insights:

• GPU
• ASIC
• FPGA
• CPU
• Others

Technology Insights:

• System-on-Chip (SoC)
• System-In-Package (SIP)
• Multi-Chip Module
• Others

Processing Type Insights:

• Edge
• Cloud

Application Insights:

• Natural Language Processing (NLP)
• Robotics
• Computer Vision
• Network Security
• Others

Industry Vertical Insights:

• Media and Advertising
• BFSI
• IT and Telecom
• Retail
• Healthcare
• Automotive and Transportation
• 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 artificial intelligence chip market performed so far and how will it perform in the coming years?
• What has been the impact of COVID-19 on the Japan artificial intelligence chip market?
• What is the breakup of the Japan artificial intelligence chip market on the basis of chip type?
• What is the breakup of the Japan artificial intelligence chip market on the basis of technology?
• What is the breakup of the Japan artificial intelligence chip market on the basis of processing type?
• What is the breakup of the Japan artificial intelligence chip market on the basis of application?
• What is the breakup of the Japan artificial intelligence chip market on the basis of industry vertical?
• What are the various stages in the value chain of the Japan artificial intelligence chip market?
• What are the key driving factors and challenges in the Japan artificial intelligence chip?
• What is the structure of the Japan artificial intelligence chip market and who are the key players?
• What is the degree of competition in the Japan artificial intelligence chip 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 Artificial Intelligence Chip Market - Introduction

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

5 Japan Artificial Intelligence Chip Market Landscape

• 5.1 Historical and Current Market Trends (2019-2024)
• 5.2 Market Forecast (2025-2033)

6 Japan Artificial Intelligence Chip Market - Breakup by Chip Type

• 6.1 GPU
  • 6.1.1 Overview
  • 6.1.2 Historical and Current Market Trends (2019-2024)
  • 6.1.3 Market Forecast (2025-2033)
• 6.2 ASIC
  • 6.2.1 Overview
  • 6.2.2 Historical and Current Market Trends (2019-2024)
  • 6.2.3 Market Forecast (2025-2033)
• 6.3 FPGA
  • 6.3.1 Overview
  • 6.3.2 Historical and Current Market Trends (2019-2024)
  • 6.3.3 Market Forecast (2025-2033)
• 6.4 CPU
  • 6.4.1 Overview
  • 6.4.2 Historical and Current Market Trends (2019-2024)
  • 6.4.3 Market Forecast (2025-2033)
• 6.5 Others
  • 6.5.1 Historical and Current Market Trends (2019-2024)
  • 6.5.2 Market Forecast (2025-2033)

7 Japan Artificial Intelligence Chip Market - Breakup by Technology

• 7.1 System-on-Chip (SoC)
  • 7.1.1 Overview
  • 7.1.2 Historical and Current Market Trends (2019-2024)
  • 7.1.3 Market Forecast (2025-2033)
• 7.2 System-In-Package (SIP)
  • 7.2.1 Overview
  • 7.2.2 Historical and Current Market Trends (2019-2024)
  • 7.2.3 Market Forecast (2025-2033)
• 7.3 Multi-Chip Module
  • 7.3.1 Overview
  • 7.3.2 Historical and Current Market Trends (2019-2024)
  • 7.3.3 Market Forecast (2025-2033)
• 7.4 Others
  • 7.4.1 Historical and Current Market Trends (2019-2024)
  • 7.4.2 Market Forecast (2025-2033)

8 Japan Artificial Intelligence Chip Market - Breakup by Processing Type

• 8.1 Edge
  • 8.1.1 Overview
  • 8.1.2 Historical and Current Market Trends (2019-2024)
  • 8.1.3 Market Forecast (2025-2033)
• 8.2 Cloud
  • 8.2.1 Overview
  • 8.2.2 Historical and Current Market Trends (2019-2024)
  • 8.2.3 Market Forecast (2025-2033)

9 Japan Artificial Intelligence Chip Market - Breakup by Application

• 9.1 Natural Language Processing (NLP)
  • 9.1.1 Overview
  • 9.1.2 Historical and Current Market Trends (2019-2024)
  • 9.1.3 Market Forecast (2025-2033)
• 9.2 Robotics
  • 9.2.1 Overview
  • 9.2.2 Historical and Current Market Trends (2019-2024)
  • 9.2.3 Market Forecast (2025-2033)
• 9.3 Computer Vision
  • 9.3.1 Overview
  • 9.3.2 Historical and Current Market Trends (2019-2024)
  • 9.3.3 Market Forecast (2025-2033)
• 9.4 Network Security
  • 9.4.1 Overview
  • 9.4.2 Historical and Current Market Trends (2019-2024)
  • 9.4.3 Market Forecast (2025-2033)
• 9.5 Others
  • 9.5.1 Historical and Current Market Trends (2019-2024)
  • 9.5.2 Market Forecast (2025-2033)

10 Japan Artificial Intelligence Chip Market - Breakup by Industry Vertical

• 10.1 Media and Advertising
  • 10.1.1 Overview
  • 10.1.2 Historical and Current Market Trends (2019-2024)
  • 10.1.3 Market Forecast (2025-2033)
• 10.2 BFSI
  • 10.2.1 Overview
  • 10.2.2 Historical and Current Market Trends (2019-2024)
  • 10.2.3 Market Forecast (2025-2033)
• 10.3 IT and Telecom
  • 10.3.1 Overview
  • 10.3.2 Historical and Current Market Trends (2019-2024)
  • 10.3.3 Market Forecast (2025-2033)
• 10.4 Retail
  • 10.4.1 Overview
  • 10.4.2 Historical and Current Market Trends (2019-2024)
  • 10.4.3 Market Forecast (2025-2033)
• 10.5 Healthcare
  • 10.5.1 Overview
  • 10.5.2 Historical and Current Market Trends (2019-2024)
  • 10.5.3 Market Forecast (2025-2033)
• 10.6 Automotive and Transportation
  • 10.6.1 Overview
  • 10.6.2 Historical and Current Market Trends (2019-2024)
  • 10.6.3 Market Forecast (2025-2033)
• 10.7 Others
  • 10.7.1 Historical and Current Market Trends (2019-2024)
  • 10.7.2 Market Forecast (2025-2033)

11 Japan Artificial Intelligence Chip Market - Competitive Landscape

• 11.1 Overview
• 11.2 Market Structure
• 11.3 Market Player Positioning
• 11.4 Top Winning Strategies
• 11.5 Competitive Dashboard
• 11.6 Company Evaluation Quadrant

12 Profiles of Key Players

• 12.1 Company A
  • 12.1.1 Business Overview
  • 12.1.2 Product Portfolio
  • 12.1.3 Business Strategies
  • 12.1.4 SWOT Analysis
  • 12.1.5 Major News and Events
• 12.2 Company B
  • 12.2.1 Business Overview
  • 12.2.2 Product Portfolio
  • 12.2.3 Business Strategies
  • 12.2.4 SWOT Analysis
  • 12.2.5 Major News and Events
• 12.3 Company C
  • 12.3.1 Business Overview
  • 12.3.2 Product Portfolio
  • 12.3.3 Business Strategies
  • 12.3.4 SWOT Analysis
  • 12.3.5 Major News and Events
• 12.4 Company D
  • 12.4.1 Business Overview
  • 12.4.2 Product Portfolio
  • 12.4.3 Business Strategies
  • 12.4.4 SWOT Analysis
  • 12.4.5 Major News and Events
• 12.5 Company E
  • 12.5.1 Business Overview
  • 12.5.2 Product Portfolio
  • 12.5.3 Business Strategies
  • 12.5.4 SWOT Analysis
  • 12.5.5 Major News and Events

13 Japan Artificial Intelligence Chip Market - Industry Analysis

• 13.1 Drivers, Restraints, and Opportunities
  • 13.1.1 Overview
  • 13.1.2 Drivers
  • 13.1.3 Restraints
  • 13.1.4 Opportunities
• 13.2 Porters Five Forces Analysis
  • 13.2.1 Overview
  • 13.2.2 Bargaining Power of Buyers
  • 13.2.3 Bargaining Power of Suppliers
  • 13.2.4 Degree of Competition
  • 13.2.5 Threat of New Entrants
  • 13.2.6 Threat of Substitutes
• 13.3 Value Chain Analysis

14 Appendix