市場調査レポート

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1746697

日本の機械学習市場レポート：コンポーネント、デプロイメント、企業規模、最終用途、地域別、2025年～2033年

Japan Machine Learning Market Report by Component, Deployment, Enterprise Size, End Use, and Region 2025-2033

出版日: 2025年06月02日
発行: IMARC
ページ情報: 英文 122 Pages
納期: 5～7営業日

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概要
目次

概要

サンプル依頼リストに入れる

日本の機械学習（ML）市場規模は2024年に17億米ドルに達しました。今後、IMARC Groupは、同市場が2033年までに270億米ドルに達し、2025年から2033年の間に33.06%の成長率（CAGR）を示すと予測しています。業界全体における人工知能（AI）およびML（機械学習）技術の採用拡大、研究開発（R&D）活動への政府投資、ヘルスケアの急速な進歩、金融分野での製品アプリケーションの急増、新興企業やハイテク大手との提携、クラウドベースのMLサービスへのアクセスが市場成長を後押しする要因となっています。

本レポートで扱う主な質問

日本の機械学習（ML）市場はこれまでどのように推移し、今後どのように推移していくのか？
COVID-19が日本の機械学習（ML）市場に与えた影響は？
日本の機械学習（ML）市場のコンポーネント別内訳は？
日本の機械学習（ML）市場のデプロイメント別の内訳は？
日本の機械学習（ML）市場の企業規模別の内訳は？
日本の機械学習（ML）市場のエンドユース別の内訳は？
日本の機械学習（ML）市場のバリューチェーンにおける様々なステージとは？
日本の機械学習（ML）市場における主な促進要因と課題は？
日本の機械学習（ML）市場の構造と主要プレイヤーは？
日本の機械学習（ML）市場における競合の程度は？

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?

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

日本の機械学習市場レポート：コンポーネント、デプロイメント、企業規模、最終用途、地域別、2025年～2033年

Japan Machine Learning Market Report by Component, Deployment, Enterprise Size, End Use, and Region 2025-2033

本レポートで扱う主な質問

目次

第1章序文

第2章調査範囲と調査手法

第3章エグゼクティブサマリー

第4章日本の機械学習（ML）市場- イントロダクション

第5章日本の機械学習（ML）市場情勢

第6章日本の機械学習（ML）市場- コンポーネント別内訳

第7章日本の機械学習（ML）市場- デプロイメント別内訳

第8章日本の機械学習（ML）市場- 企業規模別内訳

第9章日本の機械学習（ML）市場- 最終用途別内訳

第10章日本の機械学習（ML）市場-競合情勢

第11章主要企業のプロファイル

第12章日本の機械学習（ML）市場- 業界分析

第13章付録

Japan Machine Learning (ML) Market Trends:

Japan Machine Learning (ML) Market Segmentation:

Component Insights:

Deployment Insights:

Enterprise Size Insights:

End Use Insights:

Competitive Landscape:

Key Questions Answered in This Report:

Table of Contents

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Japan Machine Learning (ML) Market - Introduction

5 Japan Machine Learning (ML) Market Landscape

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

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

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

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

10 Japan Machine Learning (ML) Market - Competitive Landscape

11 Profiles of Key Players

12 Japan Machine Learning (ML) Market - Industry Analysis

13 Appendix

日本の機械学習市場レポート：コンポーネント、デプロイメント、企業規模、最終用途、地域別、2025年～2033年

Japan Machine Learning Market Report by Component, Deployment, Enterprise Size, End Use, and Region 2025-2033

本レポートで扱う主な質問

目次

第1章 序文

第2章 調査範囲と調査手法

第3章 エグゼクティブサマリー

第4章 日本の機械学習（ML）市場- イントロダクション

第5章 日本の機械学習（ML）市場情勢

第6章 日本の機械学習（ML）市場- コンポーネント別内訳

第7章 日本の機械学習（ML）市場- デプロイメント別内訳

第8章 日本の機械学習（ML）市場- 企業規模別内訳

第9章 日本の機械学習（ML）市場- 最終用途別内訳

第10章 日本の機械学習（ML）市場-競合情勢

第11章 主要企業のプロファイル

第12章 日本の機械学習（ML）市場- 業界分析

第13章 付録

Japan Machine Learning (ML) Market Trends:

Japan Machine Learning (ML) Market Segmentation:

Component Insights:

Deployment Insights:

Enterprise Size Insights:

End Use Insights:

Competitive Landscape:

Key Questions Answered in This Report:

Table of Contents

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Japan Machine Learning (ML) Market - Introduction

5 Japan Machine Learning (ML) Market Landscape

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

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

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

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

10 Japan Machine Learning (ML) Market - Competitive Landscape

11 Profiles of Key Players

12 Japan Machine Learning (ML) Market - Industry Analysis

13 Appendix

第1章序文

第2章調査範囲と調査手法

第3章エグゼクティブサマリー

第4章日本の機械学習（ML）市場- イントロダクション

第5章日本の機械学習（ML）市場情勢

第6章日本の機械学習（ML）市場- コンポーネント別内訳

第7章日本の機械学習（ML）市場- デプロイメント別内訳

第8章日本の機械学習（ML）市場- 企業規模別内訳

第9章日本の機械学習（ML）市場- 最終用途別内訳

第10章日本の機械学習（ML）市場-競合情勢

第11章主要企業のプロファイル

第12章日本の機械学習（ML）市場- 業界分析

第13章付録