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市場調查報告書
商品編碼
1905209

日本數據分析市場報告(按類型、解決方案、部署、應用和地區分類,2026-2034 年)

Japan Data Analytics Market Report by Type, Solution, Deployment, Application, and Region 2026-2034

出版日期: | 出版商: IMARC | 英文 119 Pages | 商品交期: 5-7個工作天內

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簡介目錄

2025年,日本資料分析市場規模達49.103億美元。展望未來, IMARC Group預計到2034年,該市場規模將達到132.725億美元,2026年至2034年間的複合年成長率(CAGR)為11.68%。人工智慧和機器學習的需求不斷成長,這些技術能夠實現預測性和指導性分析,使企業能夠預測趨勢、自動化流程並提出數據驅動的建議,而這正是推動市場成長的主要因素。

本報告解答的關鍵問題:

  • 日本資料分析市場目前的表現如何?未來幾年又將如何發展?
  • 新冠疫情對日本資料分析市場產生了哪些影響?
  • 日本資料分析市場按類型分類的組成是怎樣的?
  • 日本資料分析市場按解決方案分類的組成是怎樣的?
  • 日本資料分析市場按部署方式分類的組成是怎樣的?
  • 日本資料分析市場按應用領域分類的組成是怎樣的?
  • 日本資料分析市場價值鏈的各個階段有哪些?
  • 日本資料分析的關鍵促進因素和挑戰是什麼?
  • 日本資料分析市場的結構是怎麼樣的?主要參與者有哪些?
  • 日本資料分析市場的競爭程度如何?

目錄

第1章:序言

第2章:範圍與方法

  • 研究目標
  • 利害關係人
  • 數據來源
  • 市場估算
  • 預測方法

第3章:執行概要

第4章:日本資料分析市場-簡介

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭情報

第5章:日本數據分析市場概況

  • 歷史及當前市場趨勢(2020-2025)
  • 市場預測(2026-2034)

第6章:日本數據分析市場-按類型分類

  • 預測分析
  • 預測分析
  • 客戶分析
  • 描述性分析
  • 其他

第7章:日本數據分析市場-依解決方案分類

  • 安全情報
  • 資料管理
  • 數據監測
  • 資料探勘

第8章:日本資料分析市場-依部署方式分類

  • 基於雲端的
  • 現場

第9章:日本數據分析市場-按應用領域分類

  • 供應鏈管理
  • 企業資源規劃
  • 資料庫管理
  • 人力資源管理
  • 其他

第10章:日本數據分析市場-按地區分類

  • 關東地區
  • 關西/近畿地區
  • 中部/中部地區
  • 九州·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:日本數據分析市場-競爭格局

  • 概述
  • 市場結構
  • 市場參與者定位
  • 最佳制勝策略
  • 競爭格局分析
  • 公司評估象限

第12章:關鍵參與者簡介

第13章:日本資料分析市場-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: SR112026A15515

Japan data analytics market size reached USD 4,910.3 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 13,272.5 Million by 2034, exhibiting a growth rate (CAGR) of 11.68% during 2026-2034. The increasing demand for artificial intelligence and machine learning, which enable predictive and prescriptive analytics, allowing organizations to anticipate trends, automate processes, and make data-driven recommendations, is primarily driving the market.

Data analytics refers to the process of examining massive data sets to derive meaningful insights and patterns. It involves collecting, cleaning, and transforming data into a usable format, then applying various statistical and computational techniques to uncover valuable information. Data analytics can be used in multiple fields, including business, healthcare, finance, and more, to solve problems, make informed decisions, and identify opportunities for improvement. There are different types of data analytics, including descriptive (summarizing past data), diagnostic (identifying the causes of past events), predictive (forecasting future trends), and prescriptive (providing recommendations for actions). It relies on tools and technologies such as statistical analysis, machine learning, data visualization, and data mining to extract insights and make data-driven decisions. In today's data-driven world, data analytics plays a crucial role in helping organizations optimize operations, improve customer experiences, and acquire a competitive edge by leveraging the power of data to drive informed decision-making.

Japan Data Analytics Market Trends:

The data analytics market in Japan is experiencing robust growth due to several key drivers. Firstly, the proliferation of digital data sources has significantly expanded the scope and demand for data analytics solutions. With the increasing use of smartphones, IoT devices, and online platforms, there is an exponential growth in the volume of data generated. Consequently, this abundance of data necessitates advanced analytics tools and techniques to extract valuable insights. Moreover, the competitive business landscape has spurred organizations to leverage data analytics for acquiring a competitive edge. Firms are increasingly recognizing the value of data-driven decision-making to optimize their operations, enhance customer experiences, and identify growth opportunities. This heightened awareness of the strategic benefits of data analytics has become a major driving force behind market growth. Furthermore, technological advancements, like machine learning and artificial intelligence, which enable businesses to perform more sophisticated and predictive analyses, are expected to drive the data analytics market in Japan.

Japan Data Analytics Market Segmentation:

Type Insights:

  • Prescriptive Analytics
  • Predictive Analytics
  • Customer Analytics
  • Descriptive Analytics
  • Others

Solution Insights:

  • Security Intelligence
  • Data Management
  • Data Monitoring
  • Data Mining

Deployment Insights:

  • Cloud-based
  • On-premises

Application Insights:

  • Supply Chain Management
  • Enterprise Resource Planning
  • Database Management
  • Human Resource Management
  • Others

Regional Insights:

  • 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 in the market. 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 analytics 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 analytics market?
  • What is the breakup of the Japan data analytics market on the basis of type?
  • What is the breakup of the Japan data analytics market on the basis of solution?
  • What is the breakup of the Japan data analytics market on the basis of deployment?
  • What is the breakup of the Japan data analytics market on the basis of application?
  • What are the various stages in the value chain of the Japan data analytics market?
  • What are the key driving factors and challenges in the Japan data analytics?
  • What is the structure of the Japan data analytics market and who are the key players?
  • What is the degree of competition in the Japan data analytics 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 Analytics Market - Introduction

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

5 Japan Data Analytics Market Landscape

  • 5.1 Historical and Current Market Trends (2020-2025)
  • 5.2 Market Forecast (2026-2034)

6 Japan Data Analytics Market - Breakup by Type

  • 6.1 Prescriptive Analytics
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Predictive Analytics
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)
  • 6.3 Customer Analytics
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2020-2025)
    • 6.3.3 Market Forecast (2026-2034)
  • 6.4 Descriptive Analytics
    • 6.4.1 Overview
    • 6.4.2 Historical and Current Market Trends (2020-2025)
    • 6.4.3 Market Forecast (2026-2034)
  • 6.5 Others
    • 6.5.1 Historical and Current Market Trends (2020-2025)
    • 6.5.2 Market Forecast (2026-2034)

7 Japan Data Analytics Market - Breakup by Solution

  • 7.1 Security Intelligence
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 Data Management
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)
  • 7.3 Data Monitoring
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2020-2025)
    • 7.3.3 Market Forecast (2026-2034)
  • 7.4 Data Mining
    • 7.4.1 Overview
    • 7.4.2 Historical and Current Market Trends (2020-2025)
    • 7.4.3 Market Forecast (2026-2034)

8 Japan Data Analytics Market - Breakup by Deployment

  • 8.1 Cloud-based
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 On-premises
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)

9 Japan Data Analytics Market - Breakup by Application

  • 9.1 Supply Chain Management
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2020-2025)
    • 9.1.3 Market Forecast (2026-2034)
  • 9.2 Enterprise Resource Planning
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Forecast (2026-2034)
  • 9.3 Database Management
    • 9.3.1 Overview
    • 9.3.2 Historical and Current Market Trends (2020-2025)
    • 9.3.3 Market Forecast (2026-2034)
  • 9.4 Human Resource Management
    • 9.4.1 Overview
    • 9.4.2 Historical and Current Market Trends (2020-2025)
    • 9.4.3 Market Forecast (2026-2034)
  • 9.5 Others
    • 9.5.1 Historical and Current Market Trends (2020-2025)
    • 9.5.2 Market Forecast (2026-2034)

10 Japan Data Analytics 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 Type
    • 10.1.4 Market Breakup by Solution
    • 10.1.5 Market Breakup by Deployment
    • 10.1.6 Market Breakup by Application
    • 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 Type
    • 10.2.4 Market Breakup by Solution
    • 10.2.5 Market Breakup by Deployment
    • 10.2.6 Market Breakup by Application
    • 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 Type
    • 10.3.4 Market Breakup by Solution
    • 10.3.5 Market Breakup by Deployment
    • 10.3.6 Market Breakup by Application
    • 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 Type
    • 10.4.4 Market Breakup by Solution
    • 10.4.5 Market Breakup by Deployment
    • 10.4.6 Market Breakup by Application
    • 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 Type
    • 10.5.4 Market Breakup by Solution
    • 10.5.5 Market Breakup by Deployment
    • 10.5.6 Market Breakup by Application
    • 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 Type
    • 10.6.4 Market Breakup by Solution
    • 10.6.5 Market Breakup by Deployment
    • 10.6.6 Market Breakup by Application
    • 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 Type
    • 10.7.4 Market Breakup by Solution
    • 10.7.5 Market Breakup by Deployment
    • 10.7.6 Market Breakup by Application
    • 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 Type
    • 10.8.4 Market Breakup by Solution
    • 10.8.5 Market Breakup by Deployment
    • 10.8.6 Market Breakup by Application
    • 10.8.7 Key Players
    • 10.8.8 Market Forecast (2026-2034)

11 Japan Data Analytics 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 Analytics 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