封面
市场调查报告书
商品编码
1609673

2025-2033 年日本人工智慧晶片市场报告(按晶片类型、技术、处理类型、应用、垂直产业和地区划分)

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个工作天内

价格
简介目录

2024年日本人工智慧晶片IMARC Group规模达8.64亿美元。对严重依赖人工智慧的自动驾驶汽车和高级驾驶辅助系统 (ADAS) 的需求不断增长,正在推动市场发展。

人工智慧 (AI) 晶片也称为神经处理单元 (NPU) 或 AI 加速器,是一种专用微处理器,旨在加速 AI 和机器学习任务。与传统的中央处理单元(CPU)或图形处理单元(GPU)不同,人工智慧晶片针对人工智慧演算法的特定运算需求进行了最佳化。这些晶片具有高度并行性,可以比通用硬体更快、更有效率地执行深度学习、自然语言处理和电脑视觉等任务。它们通常包含用于矩阵乘法和神经网路推理的专用硬件,这些是人工智慧工作负载中的常见操作。人工智慧晶片对于人工智慧技术在自动驾驶汽车、医疗诊断、推荐系统和虚拟助理等应用中的广泛采用至关重要。它们的效率和速度使人工智慧更容易获得和实用,推动各行业的创新,并为人工智慧研究和应用的进步铺平道路。

日本人工智慧晶片市场趋势:

由于几个关键驱动因素,日本人工智慧晶片市场正在经历强劲成长。首先,医疗保健、汽车和金融等各行业对人工智慧驱动的应用程式的需求不断增长,推动了对专用硬体的需求。因此,这导致了人工智慧晶片开发投资的激增。此外,物联网设备和数位平台产生的资料呈指数级增长,需要高效的处理能力,而人工智慧晶片则提供必要的运算能力。此外,机器学习演算法和深度学习技术的进步正在推动对人工智慧晶片的需求,因为它们需要硬体加速才能快速执行复杂的任务。此外,人工智慧晶片正变得更加节能,解决了对环境永续性的担忧并降低了企业的营运成本。这种效率部分归功于更小、更紧凑、处理能力更高的人工智慧晶片的开发。总而言之,区域人工智慧晶片市场的成长是由对人工智慧应用的需求不断增长、资料量不断增长、演算法进步和节能硬体解决方案推动的。这些因素共同凸显了人工智慧晶片在塑造人工智慧技术未来的重要性。

日本人工智慧晶片市场细分:

晶片类型见解:

  • 图形处理器
  • 专用积体电路
  • FPGA
  • 中央处理器
  • 其他的

技术见解:

  • 系统单晶片 (SoC)
  • 系统级封装 (SIP)
  • 多晶片模组
  • 其他的

处理类型见解:

  • 边缘

应用见解:

  • 自然语言处理(NLP)
  • 机器人技术
  • 电脑视觉
  • 网路安全
  • 其他的

产业垂直洞察:

  • 媒体与广告
  • BFSI
  • 资讯科技和电信
  • 零售
  • 卫生保健
  • 汽车和交通
  • 其他的

竞争格局:

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

本报告回答的关键问题:

  • 日本人工智慧晶片市场迄今表现如何,未来几年又将如何表现?
  • COVID-19对日本人工智慧晶片市场有何影响?
  • 日本人工智慧晶片市场以晶片类型划分是怎样的?
  • 日本人工智慧晶片市场在技术基础上的分化是什么?
  • 日本人工智慧晶片市场按处理类型划分是怎样的?
  • 日本人工智慧晶片市场以应用为基础的细分是什么?
  • 日本人工智慧晶片市场在产业垂直基础上的分化如何?
  • 日本人工智慧晶片市场价值链的各个阶段是什么?
  • 日本人工智慧晶片的关键驱动因素和挑战是什么?
  • 日本人工智慧晶片市场结构如何,主要参与者是谁?
  • 日本人工智慧晶片市场竞争程度如何?

本报告回答的关键问题:

  • 日本人工智慧晶片市场迄今表现如何,未来几年又将如何表现?
  • COVID-19对日本人工智慧晶片市场有何影响?
  • 日本人工智慧晶片市场以晶片类型划分是怎样的?
  • 日本人工智慧晶片市场在技术基础上的分化是什么?
  • 日本人工智慧晶片市场按处理类型划分是怎样的?
  • 日本人工智慧晶片市场以应用为基础的细分是什么?
  • 日本人工智慧晶片市场在产业垂直基础上的分化如何?
  • 日本人工智慧晶片市场价值链的各个阶段是什么?
  • 日本人工智慧晶片的关键驱动因素和挑战是什么?
  • 日本人工智慧晶片市场结构如何,主要参与者是谁?
  • 日本人工智慧晶片市场竞争程度如何?

目录

第一章:前言

第 2 章:范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章:执行摘要

第 4 章:日本人工智慧晶片市场 - 简介

  • 概述
  • 市场动态
  • 产业动态
  • 竞争情报

第5章:日本人工智慧晶片市场格局

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

第 6 章:日本人工智慧晶片市场 - 细分:按晶片类型

  • 图形处理器
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 专用积体电路
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • FPGA
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 中央处理器
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 其他的
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)

第 7 章:日本人工智慧晶片市场 - 细分:按技术划分

  • 系统单晶片 (SoC)
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 系统级封装 (SIP)
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 多晶片模组
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 其他的
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)

第 8 章:日本人工智慧晶片市场 - 细分:按处理类型

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

第 9 章:日本人工智慧晶片市场 - 细分:按应用

  • 自然语言处理(NLP)
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 机器人技术
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 电脑视觉
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 网路安全
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 其他的
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)

第 10 章:日本人工智慧晶片市场 - 细分:按行业垂直划分

  • 媒体与广告
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • BFSI
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 资讯科技和电信
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 零售
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 卫生保健
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 汽车和交通
    • 概述
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)
  • 其他的
    • 历史与当前市场趋势(2019-2024)
    • 市场预测(2025-2033)

第11章:日本人工智慧晶片市场-竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争仪表板
  • 公司评估象限

第 12 章:关键参与者简介

  • 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

第十三章:日本人工智慧晶片市场-产业分析

  • 驱动因素、限制因素和机会
    • 概述
    • 司机
    • 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 14 章:附录

简介目录
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