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市場調查報告書
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1609673

2025-2033 年日本人工智慧晶片市場報告(按晶片類型、技術、處理類型、應用、垂直產業和地區分類)

Japan Artificial Intelligence Chip Market Report by Chip Type, Technology, Processing Type, Application, Industry Vertical, and Region 2025-2033

出版日期: | 出版商: IMARC | 英文 119 Pages | 商品交期: 5-7個工作天內

價格
簡介目錄

2024年日本人工智慧晶片IMARC Group規模達8.64億美元。對嚴重依賴人工智慧的自動駕駛汽車和高級駕駛輔助系統 (ADAS) 的需求不斷成長,正在推動市場發展。

人工智慧 (AI) 晶片也稱為神經處理單元 (NPU) 或 AI 加速器,是一種專用微處理器,旨在加速 AI 和機器學習任務。與傳統的中央處理單元(CPU)或圖形處理單元(GPU)不同,人工智慧晶片針對人工智慧演算法的特定運算需求進行了最佳化。這些晶片具有高度並行性,可以比通用硬體更快、更有效率地執行深度學習、自然語言處理和電腦視覺等任務。它們通常包含用於矩陣乘法和神經網路推理的專用硬體,這些是人工智慧工作負載中的常見操作。人工智慧晶片對於人工智慧技術在自動駕駛汽車、醫療診斷、推薦系統和虛擬助理等應用中的廣泛採用至關重要。它們的效率和速度使人工智慧更容易獲得和實用,推動各行業的創新,並為人工智慧研究和應用的進步鋪平道路。

日本人工智慧晶片市場趨勢:

由於幾個關鍵促進因素,日本人工智慧晶片市場正在經歷強勁成長。首先,醫療保健、汽車和金融等各行業對人工智慧驅動的應用程式的需求不斷成長,推動了對專用硬體的需求。因此,這導致了人工智慧晶片開發投資的激增。此外,物聯網設備和數位平台產生的資料呈指數級成長,需要高效的處理能力,而人工智慧晶片則提供必要的運算能力。此外,機器學習演算法和深度學習技術的進步正在推動對人工智慧晶片的需求,因為它們需要硬體加速才能快速執行複雜的任務。此外,人工智慧晶片正變得更加節能,解決了對環境永續性的擔憂並降低了企業的營運成本。這種效率部分歸功於更小、更緊湊、處理能力更高的人工智慧晶片的開發。總而言之,區域人工智慧晶片市場的成長是由對人工智慧應用的需求不斷成長、資料量不斷成長、演算法進步和節能硬體解決方案推動的。這些因素共同凸顯了人工智慧晶片在塑造人工智慧技術未來的重要性。

日本人工智慧晶片市場細分:

晶片類型見解:

  • 圖形處理器
  • 專用積體電路
  • FPGA
  • 中央處理器
  • 其他

技術見解:

  • 系統單晶片 (SoC)
  • 系統級封裝 (SIP)
  • 多晶片模組
  • 其他

處理類型見解:

  • 邊緣

應用見解:

  • 自然語言處理(NLP)
  • 機器人技術
  • 電腦視覺
  • 網路安全
  • 其他

產業垂直洞察:

  • 媒體與廣告
  • BFSI
  • 資訊科技和電信
  • 零售
  • 衛生保健
  • 汽車和交通
  • 其他

競爭格局:

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

本報告回答的關鍵問題:

  • 日本人工智慧晶片市場迄今表現如何,未來幾年又將如何表現?
  • COVID-19對日本人工智慧晶片市場有何影響?
  • 日本人工智慧晶片市場以晶片類型分類是怎樣的?
  • 日本人工智慧晶片市場在技術基礎上的分化是什麼?
  • 日本人工智慧晶片市場按處理類型分類是怎樣的?
  • 日本人工智慧晶片市場以應用為基礎的細分是什麼?
  • 日本人工智慧晶片市場在產業垂直基礎上的分化如何?
  • 日本人工智慧晶片市場價值鏈的各個階段是什麼?
  • 日本人工智慧晶片的關鍵促進因素和挑戰是什麼?
  • 日本人工智慧晶片市場結構如何,主要參與者是誰?
  • 日本人工智慧晶片市場競爭程度如何?

本報告回答的關鍵問題:

  • 日本人工智慧晶片市場迄今表現如何,未來幾年又將如何表現?
  • COVID-19對日本人工智慧晶片市場有何影響?
  • 日本人工智慧晶片市場以晶片類型分類是怎樣的?
  • 日本人工智慧晶片市場在技術基礎上的分化是什麼?
  • 日本人工智慧晶片市場按處理類型分類是怎樣的?
  • 日本人工智慧晶片市場以應用為基礎的細分是什麼?
  • 日本人工智慧晶片市場在產業垂直基礎上的分化如何?
  • 日本人工智慧晶片市場價值鏈的各個階段是什麼?
  • 日本人工智慧晶片的關鍵促進因素和挑戰是什麼?
  • 日本人工智慧晶片市場結構如何,主要參與者是誰?
  • 日本人工智慧晶片市場競爭程度如何?

目錄

第1章:前言

第 2 章:範圍與方法

  • 研究目的
  • 利害關係人
  • 數據來源
    • 主要來源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章:執行摘要

第 4 章:日本人工智慧晶片市場 - 簡介

  • 概述
  • 市場動態
  • 產業動態
  • 競爭情報

第5章:日本人工智慧晶片市場格局

  • 歷史與當前市場趨勢(2019-2024)
  • 市場預測(2025-2033)

第 6 章:日本人工智慧晶片市場 - 細分:按晶片類型

  • 圖形處理器
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 專用積體電路
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • FPGA
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 中央處理器
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 其他
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)

第 7 章:日本人工智慧晶片市場 - 細分:按技術分類

  • 系統單晶片 (SoC)
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 系統級封裝 (SIP)
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 多晶片模組
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 其他
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)

第 8 章:日本人工智慧晶片市場 - 細分:按處理類型

  • 邊緣
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)

第 9 章:日本人工智慧晶片市場 - 細分:按應用

  • 自然語言處理(NLP)
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 機器人技術
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 電腦視覺
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 網路安全
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 其他
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)

第 10 章:日本人工智慧晶片市場 - 細分:按行業垂直分類

  • 媒體與廣告
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • BFSI
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 資訊科技和電信
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 零售
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 衛生保健
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 汽車和交通
    • 概述
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)
  • 其他
    • 歷史與當前市場趨勢(2019-2024)
    • 市場預測(2025-2033)

第11章:日本人工智慧晶片市場-競爭格局

  • 概述
  • 市場結構
  • 市場參與者定位
  • 最佳制勝策略
  • 競爭儀表板
  • 公司評估象限

第 12 章:關鍵參與者簡介

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

第13章:日本人工智慧晶片市場-產業分析

  • 促進因素、限制因素和機會
    • 概述
    • 促進要素
    • 限制
    • 機會
  • 波特五力分析
    • 概述
    • 買家的議價能力
    • 供應商的議價能力
    • 競爭程度
    • 新進入者的威脅
    • 替代品的威脅
  • 價值鏈分析

第 14 章:附錄

簡介目錄
Product Code: SR112024A21722

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