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市場調查報告書
商品編碼
1746495

日本預測分析市場報告(按業務功能、組件、部署、組織規模、最終用途行業和地區分類)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個工作天內

價格
簡介目錄

2024年,日本預測分析市場規模達8.486億美元。展望未來, IMARC Group預計到2033年,該市場規模將達到75.564億美元,2025-2033年期間的複合年成長率(CAGR)為25.2%。線上零售商對客戶分析解決方案(用於即時分析個人購物行為)的需求日益成長,是推動市場成長的主要動力。

預測分析是指一個高階分析領域,專注於透過分析歷史和現有資料來預測未來事件。它採用一系列統計方法進行資料分析,包括資料探勘、機器學習、巨量資料分析和人工智慧技術。預測分析的主要優點包括降低財務風險、偵測詐欺、最佳化行銷計畫、提高營運效率、提升整體客戶體驗。鑑於其多方面的優勢,預測分析已在電信、資訊科技、零售、醫療保健、製造、政府、能源、交通運輸以及媒體和娛樂等眾多領域中廣泛應用。

日本預測分析市場趨勢:

在日本市場,預測分析的應用正在興起,這主要得益於幾個關鍵因素。首先,各行各業的自動化趨勢日益成長。這一趨勢導致對預測分析的需求日益成長,以便分析大量資料並預測具有巨大創收潛力的未來情境。此外,商業領域的激烈競爭也推動了對預測洞察的需求。此外,日本不斷擴張的電子商務產業也促進了市場成長。線上零售商擴大轉向客戶分析解決方案,推動了預測分析的應用。電子商務平台的日益普及也導致利用即時供應鏈分析的改進物流和倉儲服務的需求增加。此外,銀行、金融服務和保險 (BFSI) 行業日益成長的數位化也推動了預測分析的應用。這種數位化旨在加強監理合規流程,包括信用風險管理、資本規劃和保險風險管理。此外,人工智慧 (AI)、資料探勘、擴增實境和虛擬實境、巨量資料和機器學習等先進技術的日益融合,也促進了預測分析的應用。展望未來,預計市場將受到基於雲端的預測解決方案日益成長的部署的推動。這些解決方案提供更快的資料處理速度和更高的業務營運彈性,這可能會在未來幾年推動預測分析的普及。

日本預測分析市場細分:

業務功能洞察:

  • 行銷
  • 銷售量
  • 金融
  • 人力資源
  • 營運
  • 其他

組件洞察:

  • 解決方案
    • 客戶分析
    • 財務分析
    • 行銷和銷售分析
    • 網路分析
    • 風險分析
    • 供應鏈分析
    • 網路和社群媒體分析
    • 營運管理
    • 勞動力管理
    • 其他
  • 服務
    • 部署/安裝
    • 培訓和諮詢
    • 支援和維護

部署見解:

  • 基於雲端
  • 本地

組織規模洞察:

  • 中小企業
  • 大型企業

最終用途行業洞察:

  • 銀行、金融服務和保險
  • 電信和IT
  • 零售與電子商務
  • 醫療保健和生命科學
  • 製造業
  • 政府和國防
  • 能源和公用事業
  • 運輸和物流
  • 媒體和娛樂
  • 其他

競爭格局:

市場研究報告也對競爭格局進行了全面的分析。報告涵蓋了市場結構、關鍵參與者定位、最佳制勝策略、競爭儀錶板和公司評估象限等競爭分析。此外,報告還提供了所有主要公司的詳細資料。

本報告回答的關鍵問題:

  • 日本預測分析市場迄今表現如何?未來幾年將如何表現?
  • COVID-19 對日本預測分析市場有何影響?
  • 日本預測分析市場根據業務功能如何分類?
  • 日本預測分析市場按組成部分的分類是怎樣的?
  • 日本預測分析市場依部署狀況如何分類?
  • 根據組織規模,日本預測分析市場是如何分類的?
  • 根據最終用途產業,日本預測分析市場是如何分類的?
  • 日本預測分析市場的價值鏈分為哪些階段?
  • 日本預測分析的主要促進因素和挑戰是什麼?
  • 日本預測分析市場的結構是怎麼樣的?主要參與者是誰?
  • 日本預測分析市場的競爭程度如何?

本報告回答的關鍵問題:

  • 日本預測分析市場迄今表現如何?未來幾年將如何表現?
  • COVID-19 對日本預測分析市場有何影響?
  • 日本預測分析市場根據業務功能如何分類?
  • 日本預測分析市場按組成部分的分類是怎樣的?
  • 日本預測分析市場依部署狀況如何分類?
  • 根據組織規模,日本預測分析市場是如何分類的?
  • 根據最終用途產業,日本預測分析市場是如何分類的?
  • 日本預測分析市場的價值鏈分為哪些階段?
  • 日本預測分析的主要促進因素和挑戰是什麼?
  • 日本預測分析市場的結構是怎麼樣的?主要參與者是誰?
  • 日本預測分析市場的競爭程度如何?

目錄

第1章:前言

第2章:範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 次要來源
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章:執行摘要

第4章:日本預測分析市場 - 簡介

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭情報

第5章:日本預測分析市場格局

  • 歷史與當前市場趨勢(2019-2024)
  • 市場預測(2025-2033)

第6章:日本預測分析市場 - 細分:依業務功能

  • 行銷
    • 概述
  • 銷售量
    • 概述
  • 金融
    • 概述
  • 人力資源
    • 概述
  • 營運
    • 概述
  • 其他

第7章:日本預測分析市場-細分:依組件

  • 解決方案
    • 概述
    • 市場區隔
      • 客戶分析
      • 財務分析
      • 行銷與銷售分析
      • 網路分析
      • 風險分析
      • 供應鏈分析
      • 網路和社群媒體分析
      • 營運管理
      • 勞動力管理
      • 其他
  • 服務
    • 概述
    • 市場區隔
      • 部署/安裝
      • 培訓和諮詢
      • 支援和維護

第 8 章:日本預測分析市場 - 細分:按部署

  • 基於雲端
    • 概述
  • 本地
    • 概述

第9章:日本預測分析市場 - 細分:依組織規模

  • 中小企業
    • 概述
  • 大型企業
    • 概述

第 10 章:日本預測分析市場 - 細分:依最終用途產業

  • 銀行、金融服務和保險
    • 概述
  • 電信和IT
    • 概述
  • 零售與電子商務
    • 概述
  • 醫療保健和生命科學
    • 概述
  • 製造業
    • 概述
  • 政府和國防
    • 概述
  • 能源和公用事業
    • 概述
  • 運輸和物流
    • 概述
  • 媒體和娛樂
    • 概述
  • 其他

第 11 章:日本預測分析市場 - 競爭格局

  • 概述
  • 市場結構
  • 市場參與者定位
  • 最佳獲勝策略
  • 競爭儀錶板
  • 公司評估象限

第 12 章:關鍵參與者簡介

  • 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:日本預測分析市場 - 產業分析

  • 促進因素、限制因素和機遇
    • 概述
    • 驅動程式
    • 限制
    • 機會
  • 波特五力分析
    • 概述
    • 買家的議價能力
    • 供應商的議價能力
    • 競爭程度
    • 新進入者的威脅
    • 替代品的威脅
  • 價值鏈分析

第 14 章:附錄

簡介目錄
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