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日本の予測分析市場の分析:ビジネス機能別、コンポーネント別、展開方式別、組織規模別、最終用途産業別、地域別(2025~2033年)

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


出版日
発行
IMARC
ページ情報
英文 116 Pages
納期
5~7営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.08円
日本の予測分析市場の分析:ビジネス機能別、コンポーネント別、展開方式別、組織規模別、最終用途産業別、地域別(2025~2033年)
出版日: 2025年06月02日
発行: IMARC
ページ情報: 英文 116 Pages
納期: 5~7営業日
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  • 概要
  • 目次
概要

日本の予測分析の市場規模は2024年に8億4,860万米ドルに達しました。今後、IMARC Groupは、同市場が2033年までに75億5,640万米ドルに達し、2025年から2033年にかけて25.2%の成長率(CAGR)を示すと予測しています。オンライン小売業者の間で、個人の買い物行動をリアルタイムで分析する顧客分析ソリューションに対する需要が高まっていることが、主に市場成長の原動力となっています。

当レポートで扱う主な質問

  • 日本の予測分析市場は今後どのように推移し、今後どのように推移するのか?
  • COVID-19が日本の予測分析市場に与えた影響は?
  • 日本の予測分析市場のビジネス機能別の内訳は?
  • 日本の予測分析市場のコンポーネント別の内訳は?
  • 日本の予測分析市場の展開方式別の内訳は?
  • 日本の予測分析市場の組織規模別の内訳は?
  • 日本の予測分析市場の最終用途産業別の内訳は?
  • 日本の予測分析市場のバリューチェーンにおける様々なステージとは?
  • 日本の予測分析市場の主な促進要因と課題は何か?
  • 日本の予測分析市場の構造と主要企業は?
  • 日本の予測分析市場における競合の程度は?

目次

第1章 序文

第2章 分析範囲・手法

  • 分析目的
  • ステークホルダー
  • データソース
  • 市場推定
  • 分析手法

第3章 エグゼクティブサマリー

第4章 日本の予測分析市場:概要

  • 概要
  • 市場力学
  • 業界動向
  • 競合情報

第5章 日本の予測分析市場情勢

  • 過去・現在の市場動向(2019~2024年)
  • 市場予測(2025~2033年)

第6章 日本の予測分析市場:ビジネス機能別の内訳

  • マーケティング
  • 販売
  • 財務
  • 人事
  • 業務
  • その他

第7章 日本の予測分析市場:コンポーネント別の内訳

  • ソリューション
  • サービス

第8章 日本の予測分析市場:展開方式別の内訳

  • クラウドベース
  • オンプレミス

第9章 日本の予測分析市場:組織規模別の内訳

  • 中小企業
  • 大企業

第10章 日本の予測分析市場:最終用途産業別の内訳

  • 銀行・金融サービス・保険 (BFSI)
  • 通信・IT
  • 小売業・eコマース
  • 医療・ライフサイエンス
  • 製造
  • 政府・防衛
  • エネルギー・ユーティリティ
  • 運輸・ロジスティクス
  • メディア・エンターテイメント
  • その他

第11章 日本の予測分析市場:競合情勢

  • 概要
  • 市場構造
  • 市場企業のポジショニング
  • 主要な成功戦略
  • 競合ダッシュボード
  • 企業評価象限

第12章 主要企業のプロファイル

第13章 日本の予測分析市場:業界分析

  • 促進要因・抑制要因・機会
  • ポーターのファイブフォース分析
  • バリューチェーン分析

第14章 付録

目次
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