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市场调查报告书
商品编码
1922479

日本机器学习市场报告：按组件、部署类型、公司规模、最终用途和地区划分（2026-2034 年）

Japan Machine Learning Market Report by Component, Deployment, Enterprise Size, End Use, and Region 2026-2034
出版日期: | 出版商: IMARC | 英文 115 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2025年，日本机器学习（ML）市场规模达23亿美元。 IMARC集团预测，到2034年，该市场规模将达到296亿美元，2026年至2034年的复合年增长率（CAGR）为32.73%。推动市场成长的因素包括：工业领域对人工智慧（AI）和机器学习（ML）技术的日益普及、政府对研发活动的投入、医疗领域的快速发展、金融领域产品应用的激增、Start-Ups与大型科技公司之间的合作，以及基于云端的机器学习服务的普及。

机器学习 (ML) 是人工智慧 (AI) 的一个变革性分支，已在许多领域中获得了广泛的应用和效用。它是一种数据驱动的电脑程式设计方法，使系统能够在无需明确程式设计的情况下从经验中学习和改进。这是透过利用分析和解释资料模式的演算法来实现的，从而使系统能够进行预测、决策和推荐。机器学习的应用领域十分广泛，包括医疗保健、金融和电子商务。其运行原理的关键要素之一是使用大规模资料集训练模型。这些模型旨在识别资料中的模式和关係。透过让模型接触大量讯息，它们能够学习在面对新的未知数据时做出准确的预测和分类。常见的机器学习演算法包括决定架构、神经网路和支援向量机。

日本机器学习（ML）市场的发展趋势：

日本机器学习 (ML) 市场受多种关键驱动因素的影响，其中包括医疗保健、金融、製造和零售等行业对人工智慧 (AI) 和机器学习 (ML) 技术的日益普及。此外，日本政府对 AI/ML 研发的投入和努力也推动了创新，并进一步促进了市场扩张。业务流程自动化和优化需求的不断增长，尤其是在农业和物流等劳动密集型行业，进一步强化了这一趋势。此外，物联网 (IoT) 设备的普及和数据生成量的增加，为机器学习在数据分析和预测性维护领域的应用创造了机会，加速了市场成长。日本人口老化以及医疗保健领域对先进诊断工具的需求，也推动了机器学习与医疗保健解决方案的整合，进一步促进了市场成长。此外，主要市场参与者正越来越多地与机器学习Start-Ups和领先科技公司合作，以充分利用其 AI/ML 能力，这也积极推动了市场成长。

本报告解答的关键问题

  • 日本机器学习（ML）市场目前发展状况如何？未来几年又将如何发展？
  • 新冠疫情对日本机器学习（ML）市场感染疾病？
  • 日本机器学习（ML）市场按组成部分分類的组成是怎样的？
  • 日本机器学习（ML）市场按部署类型分類的组成是怎样的？
  • 日本机器学习（ML）市场依公司规模分類的格局如何？
  • 日本机器学习（ML）市场依最终用途分類的组成是怎样的？
  • 请介绍一下日本机器学习（ML）市场价值链的各个阶段。
  • 日本机器学习（ML）市场的主要驱动因素和挑战是什么？
  • 日本机器学习（ML）市场的结构是怎么样的？主要参与者有哪些？
  • 日本机器学习（ML）市场竞争有多激烈？

目录

第一章：序言

第二章：调查范围与调查方法

  • 调查目标
  • 相关利益者
  • 数据来源
  • 市场估值
  • 调查方法

第三章执行摘要

第四章 日本机器学习（ML）市场简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争资讯

第五章：日本机器学习（ML）市场现状

  • 过去和当前的市场趋势（2020-2025）
  • 市场预测（2026-2034）

第六章：日本机器学习（ML）市场－按组件分類的市场细分

  • 硬体
  • 软体
  • 服务

第七章：日本机器学习（ML）市场－依实施类型分類的市场细分

  • 基于云端的
  • 本地部署

第八章：日本机器学习（ML）市场－以公司规模分類的市场细分

  • 大公司
  • 小型企业

第九章：日本机器学习（ML）市场－按最终用途分類的市场细分

  • 卫生保健
  • BFSI
  • 法律
  • 零售
  • 广告与媒体
  • 汽车与运输
  • 农业
  • 製造业
  • 其他的

第十章：日本机器学习（ML）市场－按地区分類的市场细分

  • 关东地区
  • 关西、近畿地区
  • 中部地区
  • 九州和冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

第十一章：日本机器学习（ML）市场－竞争格局

  • 概述
  • 市场结构
  • 市场公司定位
  • 关键成功策略
  • 竞争对手仪錶板
  • 企业估值象限

第十二章主要企业概况

第十三章：日本机器学习（ML）市场－产业分析

  • 驱动因素、限制因素和机会
  • 波特五力分析
  • 价值链分析

第十四章附录

简介目录
Product Code: SR112026A19814

Japan machine learning (ML) market size reached USD 2.3 Billion in 2025 . Looking forward, IMARC Group expects the market to reach USD 29.6 Billion by 2034 , exhibiting a growth rate (CAGR) of 32.73% during 2026-2034 . Increased adoption of artificial intelligence (AI) and machine learning (ML) technologies across industries, government investments in research and development (R&D) activities, rapid healthcare advancements, surging product application in financial sector, partnerships with startups and tech giants, and the accessibility of cloud-based ML services are factors boosting the market growth.

Access the full market insights report Request Sample

Machine learning (ML) is a transformative branch of artificial intelligence (AI) that has gained immense popularity and utility in various domains. It is a data-driven approach to computer programming that enables systems to learn and improve from experience without being explicitly programmed. This is achieved through the utilization of algorithms that analyze and interpret data patterns, allowing the system to make predictions, decisions, and recommendations. ML has found applications in a wide range of fields, including healthcare, finance, e-commerce, and more. One of the key principles of how it works is the process of training models using large datasets. These models are designed to recognize patterns and relationships within the data. By exposing these models to vast amounts of information, they learn to make accurate predictions or classifications when presented with new, unseen data. Common ML algorithms include decision trees, neural networks, and support vector machines.

JAPAN MACHINE LEARNING (ML) MARKET TRENDS:

The Japan machine learning (ML) market is influenced by several key drivers, such as the increasing adoption of AI and ML technologies across industries such as healthcare, finance, manufacturing, and retail. Additionally, the Japanese government's initiatives and investments in AI and ML research and development (R&D) are fostering innovation, which is further driving market expansion. This is further bolstered by the growing need for automation and optimization of business processes, particularly in labor-intensive sectors like agriculture and logistics. Furthermore, the rise of Internet of Things (IoT) devices and data generation is creating opportunities for ML applications in data analytics and predictive maintenance, which is accelerating the market growth. Moreover, Japan's aging population and the healthcare sector's need for advanced diagnostic tools are also driving the integration of ML in healthcare solutions, which is boosting the market growth. Apart from this, key market players are increasingly partnering with ML startups and tech giants to harness AI and ML capabilities, which is positively supporting the market growth.

JAPAN MACHINE LEARNING (ML) MARKET SEGMENTATION:

Component Insights:

  • To get detailed segment analysis of this market Request Sample
  • Hardware
  • Software
  • Services
  • Hardware
  • Software
  • Services

Deployment Insights:

  • Cloud-based
  • On-premises
  • Cloud-based
  • On-premises

Enterprise Size Insights:

  • Large Enterprises
  • Small and Medium-sized Enterprises
  • Large Enterprises
  • Small and Medium-sized Enterprises

End Use Insights:

  • Healthcare
  • BFSI
  • Law
  • Retail
  • Advertising and Media
  • Automotive and Transportation
  • Agriculture
  • Manufacturing
  • Others
  • Healthcare
  • BFSI
  • Law
  • Retail
  • Advertising and Media
  • Automotive and Transportation
  • Agriculture
  • Manufacturing
  • Others

Regional Insights:

  • To get detailed regional analysis of this market Request Sample
  • Kanto Region
  • Kansai/Kinki Region
  • Central/ Chubu Region
  • Kyushu-Okinawa Region
  • Tohoku Region
  • Chugoku Region
  • Hokkaido Region
  • Shikoku Region
  • Kanto Region
  • Kansai/Kinki Region
  • Central/ Chubu Region
  • Kyushu-Okinawa Region
  • Tohoku Region
  • Chugoku Region
  • Hokkaido Region
  • Shikoku Region
  • The report has also provided a comprehensive analysis of all the major regional markets, which include Kanto Region, Kansai/Kinki Region, Central/ Chubu Region, Kyushu-Okinawa Region, Tohoku Region, Chugoku Region, Hokkaido Region, and Shikoku Region.

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. Some of the key players include:

  • KEY QUESTIONS ANSWERED IN THIS REPORT
  • How has the Japan machine learning (ML) market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan machine learning (ML) market?
  • What is the breakup of the Japan machine learning (ML) market on the basis of component?
  • What is the breakup of the Japan machine learning (ML) market on the basis of deployment?
  • What is the breakup of the Japan machine learning (ML) market on the basis of enterprise size?
  • What is the breakup of the Japan machine learning (ML) market on the basis of end use?
  • What are the various stages in the value chain of the Japan machine learning (ML) market?
  • What are the key driving factors and challenges in the Japan machine learning (ML)?
  • What is the structure of the Japan machine learning (ML) market and who are the key players?
  • What is the degree of competition in the Japan machine learning (ML) 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 Machine Learning (ML) Market - Introduction

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

5 Japan Machine Learning (ML) Market Landscape

  • 5.1 Historical and Current Market Trends (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Machine Learning (ML) Market - Breakup by Component

  • 6.1 Hardware
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Software
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)
  • 6.3 Services
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2020-2025)
    • 6.3.3 Market Forecast (2026-2034)

7 Japan Machine Learning (ML) Market - Breakup by Deployment

  • 7.1 Cloud-based
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 On-premises
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)

8 Japan Machine Learning (ML) Market - Breakup by Enterprise Size

  • 8.1 Large Enterprises
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 Small and Medium-sized Enterprises
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)

9 Japan Machine Learning (ML) Market - Breakup by End Use

  • 9.1 Healthcare
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2020-2025)
    • 9.1.3 Market Forecast (2026-2034)
  • 9.2 BFSI
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Forecast (2026-2034)
  • 9.3 Law
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2020-2025)
    • 9.3.3 Market Forecast (2026-2034)
  • 9.4 Retail
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2020-2025)
    • 9.4.3 Market Forecast (2026-2034)
  • 9.5 Advertising and Media
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2020-2025)
    • 9.5.3 Market Forecast (2026-2034)
  • 9.6 Automotive and Transportation
    • 9.6.1 Overview
    • 9.6.2 Historical and Current Market Trends (2020-2025)
    • 9.6.3 Market Forecast (2026-2034)
  • 9.7 Agriculture
    • 9.7.1 Overview
    • 9.7.2 Historical and Current Market Trends (2020-2025)
    • 9.7.3 Market Forecast (2026-2034)
  • 9.8 Manufacturing
    • 9.8.1 Overview
    • 9.8.2 Historical and Current Market Trends (2020-2025)
    • 9.8.3 Market Forecast (2026-2034)
  • 9.9 Others
    • 9.9.1 Historical and Current Market Trends (2020-2025)
    • 9.9.2 Market Forecast (2026-2034)

10 Japan Machine Learning (ML) Market - Breakup by Region

  • 10.1 Kanto Region
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2020-2025)
    • 10.1.3 Market Breakup by Component
    • 10.1.4 Market Breakup by Deployment
    • 10.1.5 Market Breakup by Enterprise Size
    • 10.1.6 Market Breakup by End Use
    • 10.1.7 Key Players
    • 10.1.8 Market Forecast (2026-2034)
  • 10.2 Kansai/Kinki Region
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2020-2025)
    • 10.2.3 Market Breakup by Component
    • 10.2.4 Market Breakup by Deployment
    • 10.2.5 Market Breakup by Enterprise Size
    • 10.2.6 Market Breakup by End Use
    • 10.2.7 Key Players
    • 10.2.8 Market Forecast (2026-2034)
  • 10.3 Central/ Chubu Region
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2020-2025)
    • 10.3.3 Market Breakup by Component
    • 10.3.4 Market Breakup by Deployment
    • 10.3.5 Market Breakup by Enterprise Size
    • 10.3.6 Market Breakup by End Use
    • 10.3.7 Key Players
    • 10.3.8 Market Forecast (2026-2034)
  • 10.4 Kyushu-Okinawa Region
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2020-2025)
    • 10.4.3 Market Breakup by Component
    • 10.4.4 Market Breakup by Deployment
    • 10.4.5 Market Breakup by Enterprise Size
    • 10.4.6 Market Breakup by End Use
    • 10.4.7 Key Players
    • 10.4.8 Market Forecast (2026-2034)
  • 10.5 Tohoku Region
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2020-2025)
    • 10.5.3 Market Breakup by Component
    • 10.5.4 Market Breakup by Deployment
    • 10.5.5 Market Breakup by Enterprise Size
    • 10.5.6 Market Breakup by End Use
    • 10.5.7 Key Players
    • 10.5.8 Market Forecast (2026-2034)
  • 10.6 Chugoku Region
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2020-2025)
    • 10.6.3 Market Breakup by Component
    • 10.6.4 Market Breakup by Deployment
    • 10.6.5 Market Breakup by Enterprise Size
    • 10.6.6 Market Breakup by End Use
    • 10.6.7 Key Players
    • 10.6.8 Market Forecast (2026-2034)
  • 10.7 Hokkaido Region
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2020-2025)
    • 10.7.3 Market Breakup by Component
    • 10.7.4 Market Breakup by Deployment
    • 10.7.5 Market Breakup by Enterprise Size
    • 10.7.6 Market Breakup by End Use
    • 10.7.7 Key Players
    • 10.7.8 Market Forecast (2026-2034)
  • 10.8 Shikoku Region
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2020-2025)
    • 10.8.3 Market Breakup by Component
    • 10.8.4 Market Breakup by Deployment
    • 10.8.5 Market Breakup by Enterprise Size
    • 10.8.6 Market Breakup by End Use
    • 10.8.7 Key Players
    • 10.8.8 Market Forecast (2026-2034)

11 Japan Machine Learning (ML) 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 Amazon Web Services Inc
    • 12.1.1 Business Overview
    • 12.1.2 Services Offered
    • 12.1.3 Business Strategies
    • 12.1.4 SWOT Analysis
    • 12.1.5 Major News and Events
  • 12.2 Apple Inc.
    • 12.2.1 Business Overview
    • 12.2.2 Services Offered
    • 12.2.3 Business Strategies
    • 12.2.4 SWOT Analysis
    • 12.2.5 Major News and Events
  • 12.3 Google LLC
    • 12.3.1 Business Overview
    • 12.3.2 Services Offered
    • 12.3.3 Business Strategies
    • 12.3.4 SWOT Analysis
    • 12.3.5 Major News and Events
  • 12.4 Hewlett Packard Enterprise Development LP
    • 12.4.1 Business Overview
    • 12.4.2 Services Offered
    • 12.4.3 Business Strategies
    • 12.4.4 SWOT Analysis
    • 12.4.5 Major News and Events
  • 12.5 International Business Machines Corporation
    • 12.5.1 Business Overview
    • 12.5.2 Services Offered
    • 12.5.3 Business Strategies
    • 12.5.4 SWOT Analysis
    • 12.5.5 Major News and Events
  • 12.6 Microsoft Corporation
    • 12.6.1 Business Overview
    • 12.6.2 Services Offered
    • 12.6.3 Business Strategies
    • 12.6.4 SWOT Analysis
    • 12.6.5 Major News and Events

13 Japan Machine Learning (ML) 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