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封面
市场调查报告书
商品编码
1905209

日本数据分析市场报告（按类型、解决方案、部署、应用和地区划分，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个工作天内

价格
简介目录

2025年，日本资料分析市场规模达49.103亿美元。展望未来， IMARC Group预计到2034年，该市场规模将达到132.725亿美元，2026年至2034年间的复合年增长率（CAGR）为11.68%。人工智慧和机器学习的需求不断增长，这些技术能够实现预测性和指导性分析，使企业能够预测趋势、自动化流程并提出数据驱动的建议，而这正是推动市场成长的主要因素。

本报告解答的关键问题：

  • 日本资料分析市场目前的表现如何？未来几年又将如何发展？
  • 新冠疫情对日本资料分析市场产生了哪些影响？
  • 日本资料分析市场按类型分類的组成是怎样的？
  • 日本资料分析市场按解决方案分類的组成是怎样的？
  • 日本资料分析市场按部署方式分類的组成是怎样的？
  • 日本资料分析市场按应用领域分類的组成是怎样的？
  • 日本资料分析市场价值链的各个阶段有哪些？
  • 日本资料分析的关键驱动因素和挑战是什么？
  • 日本资料分析市场的结构是怎么样的？主要参与者有哪些？
  • 日本资料分析市场的竞争程度如何？

目录

第一章：序言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 数据来源
  • 市场估算
  • 预测方法

第三章：执行概要

第四章：日本资料分析市场－简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章：日本数据分析市场概况

  • 历史及当前市场趋势（2020-2025）
  • 市场预测（2026-2034）

第六章：日本数据分析市场－按类型划分

  • 预测分析
  • 预测分析
  • 客户分析
  • 描述性分析
  • 其他的

第七章：日本数据分析市场－依解决方案划分

  • 安全情报
  • 资料管理
  • 数据监测
  • 资料探勘

第八章：日本资料分析市场－依部署方式划分

  • 基于云端的
  • 现场

第九章：日本数据分析市场－按应用领域划分

  • 供应链管理
  • 企业资源规划
  • 资料库管理
  • 人力资源管理
  • 其他的

第十章：日本数据分析市场－按地区划分

  • 关东地区
  • 关西/近畿地区
  • 中部/中部地区
  • 九州·冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

第十一章：日本数据分析市场－竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争格局分析
  • 公司评估象限

第十二章：关键参与者简介

第十三章：日本资料分析市场－产业分析

  • 驱动因素、限制因素和机会
  • 波特五力分析
  • 价值链分析

第十四章：附录

简介目录
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