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市場調查報告書
商品編碼
1746697

日本機器學習市場報告（按組件、部署、企業規模、最終用途和地區分類）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個工作天內

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簡介目錄

2024年，日本機器學習 (ML) 市場規模達17億美元。展望未來， IMARC Group預計到2033年，該市場規模將達到270億美元，2025-2033年期間的複合年成長率 (CAGR) 為33.06%。各行各業對人工智慧 (AI) 和機器學習 (ML) 技術的採用日益廣泛、政府對研發 (R&D) 活動的投資、醫療保健的快速發展、金融領域產品應用的激增、與新創公司和科技巨頭的合作以及基於雲端的機器學習服務的可訪問性，都是推動市場成長的因素。

機器學習 (ML) 是人工智慧 (AI) 的一個變革性分支，在各個領域都獲得了極大的普及和實用性。它是一種數據驅動的電腦程式設計方法，使系統能夠從經驗中學習和改進，而無需明確編程。這是透過利用分析和解釋資料模式的演算法來實現的，從而使系統能夠做出預測、決策和建議。 ML 已應用於廣泛的領域，包括醫療保健、金融、電子商務等。其工作原理的關鍵原理之一是使用大型資料集訓練模型的過程。這些模型旨在識別資料中的模式和關係。透過將這些模型暴露於大量資訊中，它們學會在呈現新的、看不見的資料時做出準確的預測或分類。常見的 ML 演算法包括決策樹、神經網路和支援向量機。

日本機器學習（ML）市場趨勢：

日本機器學習 (ML) 市場受到多種關鍵促進因素的影響，例如醫療保健、金融、製造和零售等行業擴大採用人工智慧 (AI) 和機器學習 (ML) 技術。此外，日本政府在人工智慧 (AI) 和機器學習 (ML) 研發方面的舉措和投資正在促進創新，從而進一步推動市場擴張。對業務流程自動化和最佳化日益成長的需求進一步推動了這個市場，尤其是在農業和物流等勞動密集型行業。此外，物聯網 (IoT) 設備和資料生成的興起為機器學習在資料分析和預測性維護中的應用創造了機會，從而加速了市場成長。此外，日本人口老化和醫療保健產業對先進診斷工具的需求也在推動機器學習在醫療保健解決方案中的整合，從而促進了市場成長。除此之外，主要市場參與者擴大與機器學習新創公司和科技巨頭合作，以利用人工智慧 (AI) 和機器學習功能，這對市場成長起到了積極支持作用。

日本機器學習（ML）市場區隔：

組件洞察：

  • 硬體
  • 軟體
  • 服務

部署見解：

  • 基於雲端
  • 本地

企業規模洞察：

  • 大型企業
  • 中小企業

最終用途洞察：

  • 衛生保健
  • 金融服務業
  • 法律
  • 零售
  • 廣告和媒體
  • 汽車和運輸
  • 農業
  • 製造業
  • 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、競爭儀錶板和公司評估象限等競爭分析。此外，報告還提供了所有主要公司的詳細資料。一些關鍵參與者包括：

  • 亞馬遜網路服務公司
  • 蘋果公司
  • 谷歌有限責任公司
  • 惠普企業開發有限公司
  • 國際商業機器公司
  • 微軟公司

本報告回答的關鍵問題：

  • 日本機器學習 (ML) 市場迄今為止表現如何，未來幾年將如何表現？
  • COVID-19 對日本機器學習 (ML) 市場有何影響？
  • 日本機器學習 (ML) 市場按組件分類的分佈是怎樣的？
  • 日本機器學習 (ML) 市場在部署基礎上是如何分類的？
  • 根據企業規模，日本機器學習 (ML) 市場是如何分類的？
  • 日本機器學習 (ML) 市場根據最終用途的分佈是怎樣的？
  • 日本機器學習 (ML) 市場的價值鏈分為哪些階段？
  • 日本機器學習（ML）的主要促進因素和挑戰是什麼？
  • 日本機器學習 (ML) 市場的結構是怎麼樣的？主要參與者是誰？
  • 日本機器學習（ML）市場的競爭程度如何？

本報告回答的關鍵問題：

  • 日本機器學習 (ML) 市場迄今為止表現如何，未來幾年將如何表現？
  • COVID-19 對日本機器學習 (ML) 市場有何影響？
  • 日本機器學習 (ML) 市場按組件分類的分佈是怎樣的？
  • 日本機器學習 (ML) 市場在部署基礎上是如何分類的？
  • 根據企業規模，日本機器學習 (ML) 市場是如何分類的？
  • 日本機器學習 (ML) 市場根據最終用途的分佈是怎樣的？
  • 日本機器學習 (ML) 市場的價值鏈分為哪些階段？
  • 日本機器學習（ML）的主要促進因素和挑戰是什麼？
  • 日本機器學習 (ML) 市場的結構是怎麼樣的？主要參與者是誰？
  • 日本機器學習（ML）市場的競爭程度如何？

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 次要來源
  • 市場評估
    • 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：日本機器學習（ML）市場 - 簡介

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭情報

第5章：日本機器學習（ML）市場格局

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

第6章：日本機器學習（ML）市場 - 細分：按組件

  • 硬體
    • 概述
  • 軟體
    • 概述
  • 服務
    • 概述

第7章：日本機器學習（ML）市場 - 細分：按部署

  • 基於雲端
    • 概述
  • 本地
    • 概述

第 8 章：日本機器學習 (ML) 市場 - 細分：依企業規模

  • 大型企業
    • 概述
  • 中小企業
    • 概述

第 9 章：日本機器學習 (ML) 市場 - 分割：最終用途別

  • 衛生保健
    • 概述
  • 金融服務業
    • 概述
  • 法律
    • 概述
  • 零售
    • 概述
  • 廣告和媒體
    • 概述
  • 汽車和運輸
    • 概述
  • 農業
    • 概述
  • 製造業
    • 概述
  • 其他

第10章：日本機器學習（ML）市場-競爭格局

  • 概述
  • 市場結構
  • 市場參與者定位
  • 最佳獲勝策略
  • 競爭儀錶板
  • 公司評估象限

第 11 章：關鍵參與者簡介

  • 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：日本機器學習 (ML) 市場 - 產業分析

  • 促進因素、限制因素和機遇
    • 概述
    • 驅動程式
    • 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 13 章：附錄

簡介目錄
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