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市场调查报告书
商品编码
1746697

日本机器学习市场报告（按组件、部署、企业规模、最终用途和地区划分）2025-2033

Japan Machine Learning Market Report by Component, Deployment, Enterprise Size, End Use, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 122 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2024年，日本机器学习 (ML) 市场规模达17亿美元。展望未来， IMARC Group预计到2033年，该市场规模将达到270亿美元，2025-2033年期间的复合年增长率 (CAGR) 为33.06%。各行各业对人工智慧 (AI) 和机器学习 (ML) 技术的采用日益广泛、政府对研发 (R&D) 活动的投资、医疗保健的快速发展、金融领域产品应用的激增、与新创公司和科技巨头的合作以及基于云端的机器学习服务的可访问性，都是推动市场成长的因素。

机器学习 (ML) 是人工智慧 (AI) 的一个变革性分支，在各个领域都获得了极大的普及和实用性。它是一种数据驱动的电脑程式设计方法，使系统能够从经验中学习和改进，而无需明确编程。这是透过利用分析和解释资料模式的演算法来实现的，从而使系统能够做出预测、决策和建议。 ML 已应用于广泛的领域，包括医疗保健、金融、电子商务等。其工作原理的关键原理之一是使用大型资料集训练模型的过程。这些模型旨在识别资料中的模式和关係。透过将这些模型暴露于大量资讯中，它们学会在呈现新的、看不见的资料时做出准确的预测或分类。常见的 ML 演算法包括决策树、神经网路和支援向量机。

日本机器学习（ML）市场趋势：

日本机器学习 (ML) 市场受到多种关键驱动因素的影响，例如医疗保健、金融、製造和零售等行业越来越多地采用人工智慧 (AI) 和机器学习 (ML) 技术。此外，日本政府在人工智慧 (AI) 和机器学习 (ML) 研发方面的倡议和投资正在促进创新，从而进一步推动市场扩张。对业务流程自动化和优化日益增长的需求进一步推动了这个市场，尤其是在农业和物流等劳动密集型行业。此外，物联网 (IoT) 设备和资料生成的兴起为机器学习在资料分析和预测性维护中的应用创造了机会，从而加速了市场成长。此外，日本人口老化和医疗保健产业对先进诊断工具的需求也在推动机器学习在医疗保健解决方案中的整合，从而促进了市场成长。除此之外，主要市场参与者越来越多地与机器学习新创公司和科技巨头合作，以利用人工智慧 (AI) 和机器学习功能，这对市场成长起到了积极支持作用。

日本机器学习（ML）市场区隔：

组件洞察：

  • 硬体
  • 软体
  • 服务

部署见解：

  • 基于云端
  • 本地

企业规模洞察：

  • 大型企业
  • 中小企业

最终用途洞察：

  • 卫生保健
  • 金融服务业
  • 法律
  • 零售
  • 广告和媒体
  • 汽车和运输
  • 农业
  • 製造业
  • 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、竞争仪錶板和公司评估象限等竞争分析。此外，报告还提供了所有主要公司的详细资料。一些关键参与者包括：

  • 亚马逊网路服务公司
  • 苹果公司
  • 谷歌有限责任公司
  • 惠普企业开发有限公司
  • 国际商业机器公司
  • 微软公司

本报告回答的关键问题：

  • 日本机器学习 (ML) 市场迄今为止表现如何，未来几年将如何表现？
  • COVID-19 对日本机器学习 (ML) 市场有何影响？
  • 日本机器学习 (ML) 市场按组件分類的分布是怎样的？
  • 日本机器学习 (ML) 市场在部署基础上是如何分類的？
  • 根据企业规模，日本机器学习 (ML) 市场是如何分類的？
  • 日本机器学习 (ML) 市场根据最终用途的分布是怎样的？
  • 日本机器学习 (ML) 市场的价值链分为哪些阶段？
  • 日本机器学习（ML）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？主要参与者是谁？
  • 日本机器学习（ML）市场的竞争程度如何？

本报告回答的关键问题：

  • 日本机器学习 (ML) 市场迄今为止表现如何，未来几年将如何表现？
  • COVID-19 对日本机器学习 (ML) 市场有何影响？
  • 日本机器学习 (ML) 市场按组件分類的分布是怎样的？
  • 日本机器学习 (ML) 市场在部署基础上是如何分類的？
  • 根据企业规模，日本机器学习 (ML) 市场是如何分類的？
  • 日本机器学习 (ML) 市场根据最终用途的分布是怎样的？
  • 日本机器学习 (ML) 市场的价值链分为哪些阶段？
  • 日本机器学习（ML）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？主要参与者是谁？
  • 日本机器学习（ML）市场的竞争程度如何？

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

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
  • 竞争情报

第五章：日本机器学习（ML）市场格局

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

第六章：日本机器学习（ML）市场 - 细分：按组件

  • 硬体
    • 概述
  • 软体
    • 概述
  • 服务
    • 概述

第七章：日本机器学习（ML）市场 - 细分：按部署

  • 基于云端
    • 概述
  • 本地
    • 概述

第 8 章：日本机器学习 (ML) 市场 - 细分：依企业规模

  • 大型企业
    • 概述
  • 中小企业
    • 概述

第 9 章：日本机器学习 (ML) 市场 - 分割：最终用途别

  • 卫生保健
    • 概述
  • 金融服务业
    • 概述
  • 法律
    • 概述
  • 零售
    • 概述
  • 广告和媒体
    • 概述
  • 汽车和运输
    • 概述
  • 农业
    • 概述
  • 製造业
    • 概述
  • 其他的

第十章：日本机器学习（ML）市场-竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳获胜策略
  • 竞争仪錶板
  • 公司评估象限

第 11 章：关键参与者简介

  • Amazon Web Services Inc
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Apple Inc.
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Google LLC
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Hewlett Packard Enterprise Development LP
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • International Business Machines Corporation
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Microsoft Corporation
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events

第 12 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
    • 概述
    • 驱动程式
    • 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 13 章：附录

简介目录
Product Code: SR112025A19814

Japan machine learning (ML) market size reached USD 1.7 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 27.0 Billion by 2033, exhibiting a growth rate (CAGR) of 33.06% during 2025-2033. 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.

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:

  • Hardware
  • Software
  • Services

Deployment Insights:

  • Cloud-based
  • On-premises

Enterprise Size Insights:

  • Large Enterprises
  • Small and Medium-sized Enterprises

End Use Insights:

  • Healthcare
  • BFSI
  • Law
  • Retail
  • Advertising and Media
  • Automotive and Transportation
  • Agriculture
  • Manufacturing
  • 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. Some of the key players include:

  • Amazon Web Services Inc
  • Apple Inc.
  • Google LLC
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation

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 (2019-2024)
  • 5.2 Market Forecast (2025-2033)

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

  • 6.1 Hardware
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 Software
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)
  • 6.3 Services
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2019-2024)
    • 6.3.3 Market Forecast (2025-2033)

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 (2019-2024)
    • 7.1.3 Market Forecast (2025-2033)
  • 7.2 On-premises
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 7.2.3 Market Forecast (2025-2033)

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 (2019-2024)
    • 8.1.3 Market Forecast (2025-2033)
  • 8.2 Small and Medium-sized Enterprises
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2019-2024)
    • 8.2.3 Market Forecast (2025-2033)

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 (2019-2024)
    • 9.1.3 Market Forecast (2025-2033)
  • 9.2 BFSI
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2019-2024)
    • 9.2.3 Market Forecast (2025-2033)
  • 9.3 Law
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2019-2024)
    • 9.3.3 Market Forecast (2025-2033)
  • 9.4 Retail
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2019-2024)
    • 9.4.3 Market Forecast (2025-2033)
  • 9.5 Advertising and Media
    • 9.5.1 Overview
    • 9.5.2 Historical and Current Market Trends (2019-2024)
    • 9.5.3 Market Forecast (2025-2033)
  • 9.6 Automotive and Transportation
    • 9.6.1 Overview
    • 9.6.2 Historical and Current Market Trends (2019-2024)
    • 9.6.3 Market Forecast (2025-2033)
  • 9.7 Agriculture
    • 9.7.1 Overview
    • 9.7.2 Historical and Current Market Trends (2019-2024)
    • 9.7.3 Market Forecast (2025-2033)
  • 9.8 Manufacturing
    • 9.8.1 Overview
    • 9.8.2 Historical and Current Market Trends (2019-2024)
    • 9.8.3 Market Forecast (2025-2033)
  • 9.9 Others
    • 9.9.1 Historical and Current Market Trends (2019-2024)
    • 9.9.2 Market Forecast (2025-2033)

10 Japan Machine Learning (ML) Market - Competitive Landscape

  • 10.1 Overview
  • 10.2 Market Structure
  • 10.3 Market Player Positioning
  • 10.4 Top Winning Strategies
  • 10.5 Competitive Dashboard
  • 10.6 Company Evaluation Quadrant

11 Profiles of Key Players

  • 11.1 Amazon Web Services Inc
    • 11.1.1 Business Overview
    • 11.1.2 Services Offered
    • 11.1.3 Business Strategies
    • 11.1.4 SWOT Analysis
    • 11.1.5 Major News and Events
  • 11.2 Apple Inc.
    • 11.2.1 Business Overview
    • 11.2.2 Services Offered
    • 11.2.3 Business Strategies
    • 11.2.4 SWOT Analysis
    • 11.2.5 Major News and Events
  • 11.3 Google LLC
    • 11.3.1 Business Overview
    • 11.3.2 Services Offered
    • 11.3.3 Business Strategies
    • 11.3.4 SWOT Analysis
    • 11.3.5 Major News and Events
  • 11.4 Hewlett Packard Enterprise Development LP
    • 11.4.1 Business Overview
    • 11.4.2 Services Offered
    • 11.4.3 Business Strategies
    • 11.4.4 SWOT Analysis
    • 11.4.5 Major News and Events
  • 11.5 International Business Machines Corporation
    • 11.5.1 Business Overview
    • 11.5.2 Services Offered
    • 11.5.3 Business Strategies
    • 11.5.4 SWOT Analysis
    • 11.5.5 Major News and Events
  • 11.6 Microsoft Corporation
    • 11.6.1 Business Overview
    • 11.6.2 Services Offered
    • 11.6.3 Business Strategies
    • 11.6.4 SWOT Analysis
    • 11.6.5 Major News and Events

12 Japan Machine Learning (ML) Market - Industry Analysis

  • 12.1 Drivers, Restraints, and Opportunities
    • 12.1.1 Overview
    • 12.1.2 Drivers
    • 12.1.3 Restraints
    • 12.1.4 Opportunities
  • 12.2 Porters Five Forces Analysis
    • 12.2.1 Overview
    • 12.2.2 Bargaining Power of Buyers
    • 12.2.3 Bargaining Power of Suppliers
    • 12.2.4 Degree of Competition
    • 12.2.5 Threat of New Entrants
    • 12.2.6 Threat of Substitutes
  • 12.3 Value Chain Analysis

13 Appendix