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市場調查報告書
商品編碼
1905117

日本預測分析市場報告(按業務功能、組件、部署方式、組織規模、最終用戶產業和地區分類,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個工作天內

價格
簡介目錄

2025年,日本預測分析市場規模達10.625億美元。展望未來, IMARC Group預計到2034年,該市場規模將達到78.866億美元,2026年至2034年間的複合年成長率(CAGR)為24.95%。線上零售商對客戶分析解決方案的需求不斷成長,以對個人購物行為進行即時分析,這是推動市場成長的主要因素。

本報告解答的關鍵問題:

  • 日本預測分析市場目前的表現如何?未來幾年又將如何發展?
  • 新冠疫情對日本預測分析市場產生了哪些影響?
  • 日本預測分析市場依業務功能分類的組成是怎樣的?
  • 日本預測分析市場按組成部分分類的組成是怎樣的?
  • 日本預測分析市場以部署方式分類的組成是怎樣的?
  • 日本預測分析市場依企業規模分類的組成是怎樣的?
  • 日本預測分析市場依最終用戶產業分類的組成是怎樣的?
  • 日本預測分析市場價值鏈的各個階段有哪些?
  • 日本預測分析的關鍵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?主要參與者有哪些?
  • 日本預測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:日本預測分析市場概況

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

第6章:日本預測分析市場-依業務功能分類

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

第7章:日本預測分析市場-按組成部分細分

  • 解決方案
  • 服務

第8章:日本預測分析市場-依部署方式分類

  • 基於雲端的
  • 現場

第9章:日本預測分析市場-依企業規模分類

  • 中小企業
  • 大型企業

第10章:日本預測分析市場-以最終用戶產業分類

  • 銀行、金融服務和保險
  • 電信和資訊技術
  • 零售與電子商務
  • 醫療保健和生命科學
  • 製造業
  • 政府和國防部
  • 能源與公用事業
  • 運輸與物流
  • 媒體與娛樂
  • 其他

第11章:日本預測分析市場-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12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
  • 最佳制勝策略
  • 競爭格局分析
  • 公司評估象限

第13章:關鍵參與者簡介

第14章:日本預測分析市場—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15章:附錄

簡介目錄
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