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市場調查報告書
商品編碼
1922479

日本機器學習市場報告：按組件、部署類型、公司規模、最終用途和地區分類（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個工作天內

價格
簡介目錄

2025年，日本機器學習（ML）市場規模達23億美元。 IMARC Group預測，到2034年，該市場規模將達到296億美元，2026年至2034年的複合年成長率（CAGR）為32.73%。推動市場成長的因素包括：工業領域對人工智慧（AI）和機器學習（ML）技術的日益普及、政府對研發活動的投入、醫療領域的快速發展、金融領域產品應用的激增、Start-Ups與大型科技公司之間的合作，以及基於雲端的機器學習服務的普及。

機器學習 (ML) 是人工智慧 (AI) 的一個變革性分支，已在許多領域中獲得了廣泛的應用和效用。它是一種數據驅動的電腦程式設計方法，使系統能夠在無需明確程式設計的情況下從經驗中學習和改進。這是透過利用分析和解釋資料模式的演算法來實現的，從而使系統能夠進行預測、決策和推薦。機器學習的應用領域十分廣泛，包括醫療保健、金融和電子商務。其運行原理的關鍵要素之一是使用大規模資料集訓練模型。這些模型旨在識別資料中的模式和關係。透過讓模型接觸大量訊息，它們能夠學習在面對新的未知數據時做出準確的預測和分類。常見的機器學習演算法包括決定架構、神經網路和支援向量機。

日本機器學習（ML）市場的發展趨勢：

日本機器學習 (ML) 市場受多種關鍵促進因素的影響，其中包括醫療保健、金融、製造和零售等行業對人工智慧 (AI) 和機器學習 (ML) 技術的日益普及。此外，日本政府對 AI/ML 研發的投入和努力也推動了創新，並進一步促進了市場擴張。業務流程自動化和最佳化需求的不斷成長，尤其是在農業和物流等勞動密集型行業，進一步強化了這一趨勢。此外，物聯網 (IoT) 設備的普及和數據生成量的增加，為機器學習在數據分析和預測性維護領域的應用創造了機遇，加速了市場成長。日本人口老化以及醫療保健領域對先進診斷工具的需求，也推動了機器學習與醫療保健解決方案的整合，進一步促進了市場成長。此外，主要市場參與者正擴大與機器學習Start-Ups和領先科技公司合作，以充分利用其 AI/ML 能力，這也積極推動了市場成長。

本報告解答的關鍵問題

  • 日本機器學習（ML）市場目前發展狀況如何？未來幾年又將如何發展？
  • 新冠疫情對日本機器學習（ML）市場感染疾病？
  • 日本機器學習（ML）市場按組成部分分類的組成是怎樣的？
  • 日本機器學習（ML）市場按部署類型分類的組成是怎樣的？
  • 日本機器學習（ML）市場依公司規模分類的格局如何？
  • 日本機器學習（ML）市場依最終用途分類的組成是怎樣的？
  • 請介紹一下日本機器學習（ML）市場價值鏈的各個階段。
  • 日本機器學習（ML）市場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？主要參與者有哪些？
  • 日本機器學習（ML）市場競爭有多激烈？

目錄

第1章：序言

第2章：調查範圍與調查方法

  • 調查目標
  • 相關利益者
  • 數據來源
  • 市場估值
  • 調查方法

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
  • 競爭資訊

第5章：日本機器學習（ML）市場現狀

  • 過去和當前的市場趨勢（2020-2025）
  • 市場預測（2026-2034）

第6章：日本機器學習（ML）市場－按組件分類的市場細分

  • 硬體
  • 軟體
  • 服務

第7章：日本機器學習（ML）市場－依實施類型分類的市場細分

  • 基於雲端的
  • 本地部署

第8章：日本機器學習（ML）市場－以公司規模分類的市場細分

  • 主要企業
  • 小型企業

第9章：日本機器學習（ML）市場－按最終用途分類的市場細分

  • 衛生保健
  • BFSI
  • 法律
  • 零售
  • 廣告與媒體
  • 汽車與運輸
  • 農業
  • 製造業
  • 其他

第10章：日本機器學習（ML）市場－按地區分類的市場細分

  • 關東地區
  • 關西、近畿地區
  • 中部地區
  • 九州和沖繩地區
  • 東北部地區
  • 中國地區
  • 北海道地區
  • 四國地區

第11章：日本機器學習（ML）市場－競爭格局

  • 概述
  • 市場結構
  • 市場公司定位
  • 關鍵成功策略
  • 競爭對手儀錶板
  • 企業估值象限

第12章主要企業概況

第13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
  • 波特五力分析
  • 價值鏈分析

第14章附錄

簡介目錄
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