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市场调查报告书
商品编码
1746495

日本预测分析市场报告(按业务功能、组件、部署、组织规模、最终用途行业和地区划分)2025 年至 2033 年

Japan Predictive Analytics Market Report by Business Function, Component, Deployment, Organization Size, End Use Industry, and Region 2025-2033

出版日期: | 出版商: IMARC | 英文 116 Pages | 商品交期: 5-7个工作天内

价格
简介目录

2024年,日本预测分析市场规模达8.486亿美元。展望未来, IMARC Group预计到2033年,该市场规模将达到75.564亿美元,2025-2033年期间的复合年增长率(CAGR)为25.2%。线上零售商对客户分析解决方案(用于即时分析个人购物行为)的需求日益增长,是推动市场成长的主要动力。

预测分析是指一个高阶分析领域,专注于透过分析历史和现有资料来预测未来事件。它采用一系列统计方法进行资料分析,包括资料探勘、机器学习、巨量资料分析和人工智慧技术。预测分析的主要优点包括降低财务风险、侦测诈欺、优化行销计画、提高营运效率、提升整体客户体验。鑑于其多方面的优势,预测分析已在电信、资讯科技、零售、医疗保健、製造、政府、能源、交通运输以及媒体和娱乐等众多领域中广泛应用。

日本预测分析市场趋势:

在日本市场,预测分析的应用正在兴起,这主要得益于几个关键因素。首先,各行各业的自动化趋势日益增长。这一趋势导致对预测分析的需求日益增长,以便分析大量资料并预测具有巨大创收潜力的未来情境。此外,商业领域的激烈竞争也推动了对预测洞察的需求。此外,日本不断扩张的电子商务产业也促进了市场成长。线上零售商越来越多地转向客户分析解决方案,推动了预测分析的应用。电子商务平台的日益普及也导致利用即时供应链分析的改进物流和仓储服务的需求增加。此外,银行、金融服务和保险 (BFSI) 行业日益增长的数位化也推动了预测分析的应用。这种数位化旨在加强监理合规流程,包括信用风险管理、资本规划和保险风险管理。此外,人工智慧 (AI)、资料探勘、扩增实境和虚拟实境、巨量资料和机器学习等先进技术的日益融合,也促进了预测分析的应用。展望未来,预计市场将受到基于云端的预测解决方案日益增长的部署的推动。这些解决方案提供更快的资料处理速度和更高的业务营运弹性,这可能会在未来几年推动预测分析的普及。

日本预测分析市场细分:

业务功能洞察:

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

组件洞察:

  • 解决方案
    • 客户分析
    • 财务分析
    • 行销和销售分析
    • 网路分析
    • 风险分析
    • 供应链分析
    • 网路和社群媒体分析
    • 营运管理
    • 劳动力管理
    • 其他的
  • 服务
    • 部署/安装
    • 培训和咨询
    • 支援和维护

部署见解:

  • 基于云端
  • 本地

组织规模洞察:

  • 中小企业
  • 大型企业

最终用途行业洞察:

  • 银行、金融服务和保险
  • 电信和IT
  • 零售与电子商务
  • 医疗保健和生命科学
  • 製造业
  • 政府和国防
  • 能源和公用事业
  • 运输和物流
  • 媒体和娱乐
  • 其他的

竞争格局:

市场研究报告也对竞争格局进行了全面的分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪錶板和公司评估象限等竞争分析。此外,报告还提供了所有主要公司的详细资料。

本报告回答的关键问题:

  • 日本预测分析市场迄今表现如何?未来几年将如何表现?
  • COVID-19 对日本预测分析市场有何影响?
  • 日本预测分析市场根据业务功能如何划分?
  • 日本预测分析市场按组成部分的划分是怎样的?
  • 日本预测分析市场依部署状况如何划分?
  • 根据组织规模,日本预测分析市场是如何分類的?
  • 根据最终用途产业,日本预测分析市场是如何分類的?
  • 日本预测分析市场的价值链分为哪些阶段?
  • 日本预测分析的主要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?主要参与者是谁?
  • 日本预测分析市场的竞争程度如何?

本报告回答的关键问题:

  • 日本预测分析市场迄今表现如何?未来几年将如何表现?
  • COVID-19 对日本预测分析市场有何影响?
  • 日本预测分析市场根据业务功能如何划分?
  • 日本预测分析市场按组成部分的划分是怎样的?
  • 日本预测分析市场依部署状况如何划分?
  • 根据组织规模,日本预测分析市场是如何分類的?
  • 根据最终用途产业,日本预测分析市场是如何分類的?
  • 日本预测分析市场的价值链分为哪些阶段?
  • 日本预测分析的主要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?主要参与者是谁?
  • 日本预测分析市场的竞争程度如何?

目录

第一章:前言

第二章:范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章:执行摘要

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:日本预测分析市场格局

  • 历史与当前市场趋势(2019-2024)
  • 市场预测(2025-2033)

第六章:日本预测分析市场 - 细分:依业务功能

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

第七章:日本预测分析市场-细分:依组件

  • 解决方案
    • 概述
    • 市场区隔
      • 客户分析
      • 财务分析
      • 行销与销售分析
      • 网路分析
      • 风险分析
      • 供应链分析
      • 网路和社群媒体分析
      • 营运管理
      • 劳动力管理
      • 其他的
  • 服务
    • 概述
    • 市场区隔
      • 部署/安装
      • 培训和咨询
      • 支援和维护

第 8 章:日本预测分析市场 - 细分:按部署

  • 基于云端
    • 概述
  • 本地
    • 概述

第九章:日本预测分析市场 - 细分:依组织规模

  • 中小企业
    • 概述
  • 大型企业
    • 概述

第 10 章:日本预测分析市场 - 细分:依最终用途产业

  • 银行、金融服务和保险
    • 概述
  • 电信和IT
    • 概述
  • 零售与电子商务
    • 概述
  • 医疗保健和生命科学
    • 概述
  • 製造业
    • 概述
  • 政府和国防
    • 概述
  • 能源和公用事业
    • 概述
  • 运输和物流
    • 概述
  • 媒体和娱乐
    • 概述
  • 其他的

第 11 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
  • 最佳获胜策略
  • 竞争仪錶板
  • 公司评估象限

第 12 章:关键参与者简介

  • Company A
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company B
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company C
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company D
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events
  • Company E
    • Business Overview
    • Services Offered
    • Business Strategies
    • SWOT Analysis
    • Major News and Events

第 13 章:日本预测分析市场 - 产业分析

  • 驱动因素、限制因素和机会
    • 概述
    • 驱动程式
    • 限制
    • 机会
  • 波特五力分析
    • 概述
    • 买家的议价能力
    • 供应商的议价能力
    • 竞争程度
    • 新进入者的威胁
    • 替代品的威胁
  • 价值链分析

第 14 章:附录

简介目录
Product Code: SR112025A18721

Japan predictive analytics market size reached USD 848.6 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 7,556.4 Million by 2033, exhibiting a growth rate (CAGR) of 25.2% during 2025-2033. 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

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 (2019-2024)
  • 5.2 Market Forecast (2025-2033)

6 Japan Predictive Analytics Market - Breakup by Business Function

  • 6.1 Marketing
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2019-2024)
    • 6.1.3 Market Forecast (2025-2033)
  • 6.2 Sales
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2019-2024)
    • 6.2.3 Market Forecast (2025-2033)
  • 6.3 Finance
    • 6.3.1 Overview
    • 6.3.2 Historical and Current Market Trends (2019-2024)
    • 6.3.3 Market Forecast (2025-2033)
  • 6.4 Human Resource
    • 6.4.1 Overview
    • 6.4.2 Historical and Current Market Trends (2019-2024)
    • 6.4.3 Market Forecast (2025-2033)
  • 6.5 Operations
    • 6.5.1 Overview
    • 6.5.2 Historical and Current Market Trends (2019-2024)
    • 6.5.3 Market Forecast (2025-2033)
  • 6.6 Others
    • 6.6.1 Historical and Current Market Trends (2019-2024)
    • 6.6.2 Market Forecast (2025-2033)

7 Japan Predictive Analytics Market - Breakup by Component

  • 7.1 Solution
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2019-2024)
    • 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 (2025-2033)
  • 7.2 Service
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2019-2024)
    • 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 (2025-2033)

8 Japan Predictive Analytics Market - Breakup by Deployment

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

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 (2019-2024)
    • 9.1.3 Market Forecast (2025-2033)
  • 9.2 Large Enterprises
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2019-2024)
    • 9.2.3 Market Forecast (2025-2033)

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 (2019-2024)
    • 10.1.3 Market Forecast (2025-2033)
  • 10.2 Telecommunication and IT
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2019-2024)
    • 10.2.3 Market Forecast (2025-2033)
  • 10.3 Retail and E-Commerce
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2019-2024)
    • 10.3.3 Market Forecast (2025-2033)
  • 10.4 Healthcare and Life Science
    • 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 Government and Defense
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2019-2024)
    • 10.6.3 Market Forecast (2025-2033)
  • 10.7 Energy and Utility
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2019-2024)
    • 10.7.3 Market Forecast (2025-2033)
  • 10.8 Transport and Logistics
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2019-2024)
    • 10.8.3 Market Forecast (2025-2033)
  • 10.9 Media and Entertainment
    • 10.9.1 Overview
    • 10.9.2 Historical and Current Market Trends (2019-2024)
    • 10.9.3 Market Forecast (2025-2033)
  • 10.10 Others
    • 10.10.1 Historical and Current Market Trends (2019-2024)
    • 10.10.2 Market Forecast (2025-2033)

11 Japan Predictive 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 Predictive 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