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市場調査レポート
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1746568

日本のデータウェアハウス市場レポート：提供、データタイプ、展開モデル、企業規模、エンドユーザー、地域別、2025年～2033年

Japan Data Warehousing Market Report by Offering, Data Type, Deployment Model, Enterprise Size, End User, and Region 2025-2033

出版日
発行
IMARC
ページ情報
英文 119 Pages
納期
5～7営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.08円
日本のデータウェアハウス市場レポート：提供、データタイプ、展開モデル、企業規模、エンドユーザー、地域別、2025年～2033年
出版日: 2025年06月02日
発行: IMARC
ページ情報: 英文 119 Pages
納期: 5～7営業日
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  • 全表示
  • 概要
  • 目次
概要

日本のデータウェアハウス市場規模は2024年に16億3,600万米ドルに達しました。今後、IMARC Groupは、同市場が2033年までに37億9,500万米ドルに達し、2025年から2033年にかけて9.31%の成長率（CAGR）を示すと予測しています。データの量、多様性、速度を特徴とするビッグデータの人気の高まりと、大規模なデータセットを効率的に処理・処理できるデータウェアハウスソリューションへのニーズの高まりが、市場を牽引しています。

本レポートで扱う主な質問

  • 日本のデータウェアハウス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が日本のデータウェアハウス市場に与えた影響は？
  • 日本におけるデータウェアハウス市場のオファリング別区分は？
  • 日本のデータウェアハウス市場のデータタイプ別の区分は？
  • 展開モデル別の国内データウェアハウス市場内訳は？
  • 国内データウェアハウス市場の企業規模別区分は？
  • 国内データウェアハウス市場のエンドユーザー別区分は？
  • 日本のデータウェアハウス市場のバリューチェーンにおける各ステージとは？
  • 日本のデータウェアハウスの主要な促進要因と課題は何か？
  • 日本のデータウェアハウス市場の構造と主要企業は？
  • 日本のデータウェアハウス市場における競合の程度は？

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査の目的
  • ステークホルダー
  • データソース
  • 市場推定
  • 調査手法

第3章 エグゼクティブサマリー

第4章 日本のデータウェアハウス市場-イントロダクション

  • 概要
  • 市場力学
  • 業界動向
  • 競合情報

第5章 日本のデータウェアハウス市場情勢

  • 過去および現在の市場動向（2019年～2024年）
  • 市場予測（2025年～2033年）

第6章 日本のデータウェアハウス市場- 提供別分割

  • ETLソリューション
  • 統計分析
  • データマイニング
  • その他

第7章 日本のデータウェアハウス市場- データタイプ別の内訳

  • 非構造化データ
  • 半構造化データと構造化データ

第8章 日本のデータウェアハウス市場- 展開モデル別の内訳

  • オンプレミス
  • クラウドベース
  • ハイブリッド

第9章 日本のデータウェアハウス市場- 企業規模別内訳

  • 大企業
  • 中小企業

第10章 日本のデータウェアハウス市場- エンドユーザー別内訳

  • BFSI
  • ITおよび通信
  • 軍隊
  • 政府
  • 製造
  • 小売り
  • ヘルスケア
  • メディアとエンターテイメント
  • その他

第11章 日本のデータウェアハウス市場-競合情勢

  • 概要
  • 市場構造
  • 市場企業のポジショニング
  • 主要成功戦略
  • 競合ダッシュボード
  • 企業評価象限

第12章 主要企業のプロファイル

第13章 日本のデータウェアハウス市場- 業界分析

  • 促進要因・抑制要因・機会
  • ポーターのファイブフォース分析
  • バリューチェーン分析

第14章 付録

目次
Product Code: SR112025A18901

Japan data warehousing market size reached USD 1,636.0 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 3,795.0 Million by 2033, exhibiting a growth rate (CAGR) of 9.31% during 2025-2033. The increasing popularity of big data, characterized by the volume, variety, and velocity of data, coupled with the rising need for data warehousing solutions that are capable of handling and processing large datasets efficiently, is driving the market.

Data warehousing is a process of collecting, storing, and managing large volumes of data from various sources to support business intelligence and data analytics. It involves the integration of data from different systems and formats into a centralized repository, typically called a data warehouse. This repository is designed to be optimized for query and analysis, making it easier for organizations to access and analyze their data for decision-making purposes. Data warehousing allows for historical data retention, enabling businesses to track and analyze trends over time. It also provides a structured and organized view of data, which is essential for reporting and generating insights. To achieve this, data warehousing involves processes like data extraction, transformation, and loading (ETL), which cleanse and structure data for analysis. In summary, data warehousing is a crucial component of modern business intelligence, providing a consolidated and efficient way to store, manage, and analyze data, ultimately helping organizations make informed decisions and gain valuable insights from their data.

Japan Data Warehousing Market Trends:

The data warehousing market in Japan is experiencing robust growth due to several key drivers that have propelled its expansion. Firstly, the exponential growth of data generated across industries has necessitated efficient data management solutions. Consequently, organizations are increasingly turning to data warehousing to consolidate and organize their vast datasets, creating a centralized repository for informed decision-making. Moreover, the rise of data-driven insights and analytics has heightened the demand for data warehousing solutions. Businesses recognize the need to harness the power of their data for competitive advantage, and data warehousing provides the infrastructure required for advanced analytics and business intelligence. In addition to this, cloud computing has played a pivotal role in driving the data warehousing market forward. Cloud-based data warehousing solutions offer scalability, flexibility, and cost-efficiency, attracting organizations seeking to modernize their data infrastructure without heavy upfront investments. Furthermore, the escalating popularity of data security concerns, coupled with the need for data warehousing that offers a secure and compliant environment for storing and managing sensitive data, is expected to drive the market in Japan in the coming years.

Japan Data Warehousing Market Segmentation:

Offering Insights:

  • ETL Solutions
  • Statistical Analysis
  • Data Mining
  • Others

Data Type Insights:

  • Unstructured Data
  • Semi-Structured and Structured Data

Deployment Model Insights:

  • On-premises
  • Cloud-based
  • Hybrid
  • Enterprise Size Insights
  • Large Enterprises
  • Small and Medium-sized Enterprises

End User Insights:

  • BFSI
  • IT and Telecom
  • Government
  • Manufacturing
  • Retail
  • Healthcare
  • Media and Entertainment
  • 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.

Key Questions Answered in This Report:

  • How has the Japan data warehousing market performed so far and how will it perform in the coming years?
  • What has been the impact of COVID-19 on the Japan data warehousing market?
  • What is the breakup of the Japan data warehousing market on the basis of offering?
  • What is the breakup of the Japan data warehousing market on the basis of data type?
  • What is the breakup of the Japan data warehousing market on the basis of deployment model?
  • What is the breakup of the Japan data warehousing market on the basis of enterprise size?
  • What is the breakup of the Japan data warehousing market on the basis of end user?
  • What are the various stages in the value chain of the Japan data warehousing market?
  • What are the key driving factors and challenges in the Japan data warehousing?
  • What is the structure of the Japan data warehousing market and who are the key players?
  • What is the degree of competition in the Japan data warehousing 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 Data Warehousing Market - Introduction

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

5 Japan Data Warehousing Market Landscape

  • 5.1 Historical and Current Market Trends (2019-2024)
  • 5.2 Market Forecast (2025-2033)

6 Japan Data Warehousing Market - Breakup by Offering

  • 6.1 ETL Solutions
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 Statistical Analysis
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)
  • 6.3 Data Mining
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2019-2024)
    • 6.3.3 Market Forecast (2025-2033)
  • 6.4 Others
    • 6.4.1 Historical and Current Market Trends (2019-2024)
    • 6.4.2 Market Forecast (2025-2033)

7 Japan Data Warehousing Market - Breakup by Data Type

  • 7.1 Unstructured Data
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2019-2024)
    • 7.1.3 Market Forecast (2025-2033)
  • 7.2 Semi-Structured and Structured Data
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 7.2.3 Market Forecast (2025-2033)

8 Japan Data Warehousing Market - Breakup by Deployment Model

  • 8.1 On-premises
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2019-2024)
    • 8.1.3 Market Forecast (2025-2033)
  • 8.2 Cloud-based
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2019-2024)
    • 8.2.3 Market Forecast (2025-2033)
  • 8.3 Hybrid
    • 8.3.1 Overview
    • 8.3.2 Historical and Current Market Trends (2019-2024)
    • 8.3.3 Market Forecast (2025-2033)

9 Japan Data Warehousing Market - Breakup by Enterprise Size

  • 9.1 Large Enterprises
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2019-2024)
    • 9.1.3 Market Forecast (2025-2033)
  • 9.2 Small and Medium-sized Enterprises
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2019-2024)
    • 9.2.3 Market Forecast (2025-2033)

10 Japan Data Warehousing Market - Breakup by End User

  • 10.1 BFSI
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2019-2024)
    • 10.1.3 Market Forecast (2025-2033)
  • 10.2 IT and Telecom
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2019-2024)
    • 10.2.3 Market Forecast (2025-2033)
  • 10.3 Military
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2019-2024)
    • 10.3.3 Market Forecast (2025-2033)
  • 10.4 Government
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2019-2024)
    • 10.4.2 Market Forecast (2025-2033)
  • 10.5 Manufacturing
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2019-2024)
    • 10.5.3 Market Forecast (2025-2033)
  • 10.6 Retail
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2019-2024)
    • 10.6.3 Market Forecast (2025-2033)
  • 10.7 Healthcare
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2019-2024)
    • 10.7.3 Market Forecast (2025-2033)
  • 10.8 Media and Entertainment
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2019-2024)
    • 10.8.3 Market Forecast (2025-2033)
  • 10.9 Others
    • 10.9.1 Historical and Current Market Trends (2019-2024)
    • 10.9.2 Market Forecast (2025-2033)

11 Japan Data Warehousing 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 Company A
    • 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 Company B
    • 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 Company C
    • 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 Company D
    • 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 Company E
    • 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

13 Japan Data Warehousing 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