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封面
市场调查报告书
商品编码
1905117

日本预测分析市场报告（按业务功能、组件、部署方式、组织规模、最终用户产业和地区划分，2026-2034 年）

Japan Predictive Analytics Market Report by Business Function, Component, Deployment, Organization Size, End Use Industry, and Region 2026-2034
出版日期: | 出版商: IMARC | 英文 117 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2025年，日本预测分析市场规模达10.625亿美元。展望未来， IMARC Group预计到2034年，该市场规模将达到78.866亿美元，2026年至2034年间的复合年增长率（CAGR）为24.95%。线上零售商对客户分析解决方案的需求不断增长，以对个人购物行为进行即时分析，这是推动市场成长的主要因素。

本报告解答的关键问题：

  • 日本预测分析市场目前的表现如何？未来几年又将如何发展？
  • 新冠疫情对日本预测分析市场产生了哪些影响？
  • 日本预测分析市场依业务功能分類的组成是怎样的？
  • 日本预测分析市场按组成部分分類的组成是怎样的？
  • 日本预测分析市场以部署方式分類的组成是怎样的？
  • 日本预测分析市场依企业规模分類的组成是怎样的？
  • 日本预测分析市场依最终用户产业分類的组成是怎样的？
  • 日本预测分析市场价值链的各个阶段有哪些？
  • 日本预测分析的关键驱动因素和挑战是什么？
  • 日本预测分析市场的结构是怎么样的？主要参与者有哪些？
  • 日本预测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：日本预测分析市场－简介

  • 概述
  • 市场动态
  • 产业趋势
  • 竞争情报

第五章：日本预测分析市场概况

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

第六章：日本预测分析市场－依业务功能划分

  • 行销
  • 销售量
  • 金融
  • 人力资源
  • 营运
  • 其他的

第七章：日本预测分析市场－按组成部分细分

  • 解决方案
  • 服务

第八章：日本预测分析市场－依部署方式划分

  • 基于云端的
  • 现场

第九章：日本预测分析市场－依企业规模划分

  • 中小企业
  • 大型企业

第十章：日本预测分析市场－以最终用户产业划分

  • 银行、金融服务和保险
  • 电信和资讯技术
  • 零售与电子商务
  • 医疗保健和生命科学
  • 製造业
  • 政府和国防部
  • 能源与公用事业
  • 运输与物流
  • 媒体与娱乐
  • 其他的

第十一章：日本预测分析市场－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

第十二章：日本预测分析市场－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

第十三章：关键参与者简介

第十四章：日本预测分析市场—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

第十五章：附录

简介目录
Product Code: SR112026A18721

Japan predictive analytics market size reached USD 1,062.5 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 7,886.6 Million by 2034, exhibiting a growth rate (CAGR) of 24.95% during 2026-2034. The growing demand among online retailers for customer analytics solutions to perform real-time analysis of individual shopping behavior is primarily driving the market growth.

Predictive analytics refers to an advanced analytics field focused on forecasting future events through the examination of historical and present data. It employs a range of statistical methods for data analysis, including data mining, machine learning, big data analytics, and artificial intelligence techniques. The primary benefits of predictive analytics encompass the mitigation of financial risks, fraud detection, optimization of marketing initiatives, improved operational efficiency, and the enhancement of overall customer experiences. Given its multifaceted advantages, predictive analytics has gained widespread adoption across a diverse array of sectors, including telecommunications, information technology, retail, healthcare, manufacturing, government, energy, transportation, and media and entertainment, among others.

Japan Predictive Analytics Market Trends:

In the Japan market, the adoption of predictive analytics is on the rise, driven by several key factors. Firstly, there is a growing trend towards automation in various industries. This trend has led to an increased need for predictive analytics to analyze large volumes of data and forecast future scenarios with significant revenue potential. Furthermore, intense competition in the business landscape is fueling the demand for predictive insights. Moreover, the expanding e-commerce sector in Japan is contributing to market growth. Online retailers are increasingly turning to customer analytics solutions, driving the adoption of predictive analytics. The growing penetration of e-commerce platforms has also led to increased demand for improved logistics and warehousing services that utilize real-time supply chain analytics. Additionally, the rising digitization in the Banking, Financial Services, and Insurance (BFSI) sector is driving the adoption of predictive analytics. This digitalization aims to enhance regulatory compliance processes, including credit risk management, capital planning, and insurance risk management. Furthermore, the increasing integration of advanced technologies like artificial intelligence (AI), data mining, augmented and virtual reality, big data, and machine learning is bolstering the adoption of predictive analytics. Looking ahead, the market is expected to be driven by the growing deployment of cloud-based predictive solutions. These solutions offer faster data processing and increased flexibility in business operations, which will likely fuel the adoption of predictive analytics in the coming years.

Japan Predictive Analytics Market Segmentation:

Business Function Insights:

  • Marketing
  • Sales
  • Finance
  • Human Resource
  • Operations
  • Others

Component Insights:

  • Solution
    • Customer Analytics
    • Financial Analytics
    • Marketing and Sales Analytics
    • Network Analytics
    • Risk Analytics
    • Supply Chain Analytics
    • Web and Social Media Analytics
    • Operations Management
    • Workforce Management
    • Others
  • Service
    • Deployment/Installation
    • Training and Consulting
    • Support and Maintenance

Deployment Insights:

  • Cloud-based
  • On-premises

Organization Size Insights:

  • Small and Medium-sized Enterprises
  • Large Enterprises

End Use Industry Insights:

  • Banking, Financial Services and Insurance
  • Telecommunication and IT
  • Retail and E-Commerce
  • Healthcare and Life Science
  • Manufacturing
  • Government and Defense
  • Energy and Utility
  • Transport and Logistics
  • Media and Entertainment
  • 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. 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 predictive 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 predictive analytics market?
  • What is the breakup of the Japan predictive analytics market on the basis of business function?
  • What is the breakup of the Japan predictive analytics market on the basis of component?
  • What is the breakup of the Japan predictive analytics market on the basis of deployment?
  • What is the breakup of the Japan predictive analytics market on the basis of organization size?
  • What is the breakup of the Japan predictive analytics market on the basis of end use industry?
  • What are the various stages in the value chain of the Japan predictive analytics market?
  • What are the key driving factors and challenges in the Japan predictive analytics?
  • What is the structure of the Japan predictive analytics market and who are the key players?
  • What is the degree of competition in the Japan predictive 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 Predictive Analytics Market - Introduction

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

5 Japan Predictive Analytics Market Landscape

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

6 Japan Predictive Analytics Market - Breakup by Business Function

  • 6.1 Marketing
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Sales
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)
  • 6.3 Finance
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2020-2025)
    • 6.3.3 Market Forecast (2026-2034)
  • 6.4 Human Resource
    • 6.4.1 Overview
    • 6.4.2 Historical and Current Market Trends (2020-2025)
    • 6.4.3 Market Forecast (2026-2034)
  • 6.5 Operations
    • 6.5.1 Overview
    • 6.5.2 Historical and Current Market Trends (2020-2025)
    • 6.5.3 Market Forecast (2026-2034)
  • 6.6 Others
    • 6.6.1 Historical and Current Market Trends (2020-2025)
    • 6.6.2 Market Forecast (2026-2034)

7 Japan Predictive Analytics Market - Breakup by Component

  • 7.1 Solution
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Segmentation
      • 7.1.3.1 Customer Analytics
      • 7.1.3.2 Financial Analytics
      • 7.1.3.3 Marketing and Sales Analytics
      • 7.1.3.4 Network Analytics
      • 7.1.3.5 Risk Analytics
      • 7.1.3.6 Supply Chain Analytics
      • 7.1.3.7 Web and Social Media Analytics
      • 7.1.3.8 Operations Management
      • 7.1.3.9 Workforce Management
      • 7.1.3.10 Others
    • 7.1.4 Market Forecast (2026-2034)
  • 7.2 Service
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Segmentation
      • 7.2.3.1 Deployment/Installation
      • 7.2.3.2 Training and Consulting
      • 7.2.3.3 Support and Maintenance
    • 7.2.4 Market Forecast (2026-2034)

8 Japan Predictive 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 Predictive Analytics Market - Breakup by Organization Size

  • 9.1 Small and Medium-sized Enterprises
    • 9.1.1 Overview
    • 9.1.2 Historical and Current Market Trends (2020-2025)
    • 9.1.3 Market Forecast (2026-2034)
  • 9.2 Large Enterprises
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2020-2025)
    • 9.2.3 Market Forecast (2026-2034)

10 Japan Predictive Analytics Market - Breakup by End Use Industry

  • 10.1 Banking, Financial Services and Insurance
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2020-2025)
    • 10.1.3 Market Forecast (2026-2034)
  • 10.2 Telecommunication and IT
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2020-2025)
    • 10.2.3 Market Forecast (2026-2034)
  • 10.3 Retail and E-Commerce
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2020-2025)
    • 10.3.3 Market Forecast (2026-2034)
  • 10.4 Healthcare and Life Science
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2020-2025)
    • 10.4.2 Market Forecast (2026-2034)
  • 10.5 Manufacturing
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2020-2025)
    • 10.5.3 Market Forecast (2026-2034)
  • 10.6 Government and Defense
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2020-2025)
    • 10.6.3 Market Forecast (2026-2034)
  • 10.7 Energy and Utility
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2020-2025)
    • 10.7.3 Market Forecast (2026-2034)
  • 10.8 Transport and Logistics
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2020-2025)
    • 10.8.3 Market Forecast (2026-2034)
  • 10.9 Media and Entertainment
    • 10.9.1 Overview
    • 10.9.2 Historical and Current Market Trends (2020-2025)
    • 10.9.3 Market Forecast (2026-2034)
  • 10.10 Others
    • 10.10.1 Historical and Current Market Trends (2020-2025)
    • 10.10.2 Market Forecast (2026-2034)

11 Japan Predictive Analytics Market - Breakup by Region

  • 11.1 Kanto Region
    • 11.1.1 Overview
    • 11.1.2 Historical and Current Market Trends (2020-2025)
    • 11.1.3 Market Breakup by Business Function
    • 11.1.4 Market Breakup by Component
    • 11.1.5 Market Breakup by Deployment
    • 11.1.6 Market Breakup by Organization Size
    • 11.1.7 Market Breakup by End Use Industry
    • 11.1.8 Key Players
    • 11.1.9 Market Forecast (2026-2034)
  • 11.2 Kansai/Kinki Region
    • 11.2.1 Overview
    • 11.2.2 Historical and Current Market Trends (2020-2025)
    • 11.2.3 Market Breakup by Business Function
    • 11.2.4 Market Breakup by Component
    • 11.2.5 Market Breakup by Deployment
    • 11.2.6 Market Breakup by Organization Size
    • 11.2.7 Market Breakup by End Use Industry
    • 11.2.8 Key Players
    • 11.2.9 Market Forecast (2026-2034)
  • 11.3 Central/ Chubu Region
    • 11.3.1 Overview
    • 11.3.2 Historical and Current Market Trends (2020-2025)
    • 11.3.3 Market Breakup by Business Function
    • 11.3.4 Market Breakup by Component
    • 11.3.5 Market Breakup by Deployment
    • 11.3.6 Market Breakup by Organization Size
    • 11.3.7 Market Breakup by End Use Industry
    • 11.3.8 Key Players
    • 11.3.9 Market Forecast (2026-2034)
  • 11.4 Kyushu-Okinawa Region
    • 11.4.1 Overview
    • 11.4.2 Historical and Current Market Trends (2020-2025)
    • 11.4.3 Market Breakup by Business Function
    • 11.4.4 Market Breakup by Component
    • 11.4.5 Market Breakup by Deployment
    • 11.4.6 Market Breakup by Organization Size
    • 11.4.7 Market Breakup by End Use Industry
    • 11.4.8 Key Players
    • 11.4.9 Market Forecast (2026-2034)
  • 11.5 Tohoku Region
    • 11.5.1 Overview
    • 11.5.2 Historical and Current Market Trends (2020-2025)
    • 11.5.3 Market Breakup by Business Function
    • 11.5.4 Market Breakup by Component
    • 11.5.5 Market Breakup by Deployment
    • 11.5.6 Market Breakup by Organization Size
    • 11.5.7 Market Breakup by End Use Industry
    • 11.5.8 Key Players
    • 11.5.9 Market Forecast (2026-2034)
  • 11.6 Chugoku Region
    • 11.6.1 Overview
    • 11.6.2 Historical and Current Market Trends (2020-2025)
    • 11.6.3 Market Breakup by Business Function
    • 11.6.4 Market Breakup by Component
    • 11.6.5 Market Breakup by Deployment
    • 11.6.6 Market Breakup by Organization Size
    • 11.6.7 Market Breakup by End Use Industry
    • 11.6.8 Key Players
    • 11.6.9 Market Forecast (2026-2034)
  • 11.7 Hokkaido Region
    • 11.7.1 Overview
    • 11.7.2 Historical and Current Market Trends (2020-2025)
    • 11.7.3 Market Breakup by Business Function
    • 11.7.4 Market Breakup by Component
    • 11.7.5 Market Breakup by Deployment
    • 11.7.6 Market Breakup by Organization Size
    • 11.7.7 Market Breakup by End Use Industry
    • 11.7.8 Key Players
    • 11.7.9 Market Forecast (2026-2034)
  • 11.8 Shikoku Region
    • 11.8.1 Overview
    • 11.8.2 Historical and Current Market Trends (2020-2025)
    • 11.8.3 Market Breakup by Business Function
    • 11.8.4 Market Breakup by Component
    • 11.8.5 Market Breakup by Deployment
    • 11.8.6 Market Breakup by Organization Size
    • 11.8.7 Market Breakup by End Use Industry
    • 11.8.8 Key Players
    • 11.8.9 Market Forecast (2026-2034)

12 Japan Predictive Analytics Market - Competitive Landscape

  • 12.1 Overview
  • 12.2 Market Structure
  • 12.3 Market Player Positioning
  • 12.4 Top Winning Strategies
  • 12.5 Competitive Dashboard
  • 12.6 Company Evaluation Quadrant

13 Profiles of Key Players

  • 13.1 Company A
    • 13.1.1 Business Overview
    • 13.1.2 Services Offered
    • 13.1.3 Business Strategies
    • 13.1.4 SWOT Analysis
    • 13.1.5 Major News and Events
  • 13.2 Company B
    • 13.2.1 Business Overview
    • 13.2.2 Services Offered
    • 13.2.3 Business Strategies
    • 13.2.4 SWOT Analysis
    • 13.2.5 Major News and Events
  • 13.3 Company C
    • 13.3.1 Business Overview
    • 13.3.2 Services Offered
    • 13.3.3 Business Strategies
    • 13.3.4 SWOT Analysis
    • 13.3.5 Major News and Events
  • 13.4 Company D
    • 13.4.1 Business Overview
    • 13.4.2 Services Offered
    • 13.4.3 Business Strategies
    • 13.4.4 SWOT Analysis
    • 13.4.5 Major News and Events
  • 13.5 Company E
    • 13.5.1 Business Overview
    • 13.5.2 Services Offered
    • 13.5.3 Business Strategies
    • 13.5.4 SWOT Analysis
    • 13.5.5 Major News and Events

14 Japan Predictive Analytics Market - Industry Analysis

  • 14.1 Drivers, Restraints, and Opportunities
    • 14.1.1 Overview
    • 14.1.2 Drivers
    • 14.1.3 Restraints
    • 14.1.4 Opportunities
  • 14.2 Porters Five Forces Analysis
    • 14.2.1 Overview
    • 14.2.2 Bargaining Power of Buyers
    • 14.2.3 Bargaining Power of Suppliers
    • 14.2.4 Degree of Competition
    • 14.2.5 Threat of New Entrants
    • 14.2.6 Threat of Substitutes
  • 14.3 Value Chain Analysis

15 Appendix