查看購物車
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1905310

日本零售分析市場報告（按組件、功能、部署模式、企業規模和地區分類，2026-2034 年）

Japan Retail Analytics Market Report by Component, Function, Deployment Mode, Enterprise Size, and Region 2026-2034
出版日期: | 出版商: IMARC | 英文 119 Pages | 商品交期: 5-7個工作天內

價格
簡介目錄

2025年，日本零售分析市場規模達5.645億美元。展望未來， IMARC Group預計到2034年，該市場規模將達到7.973億美元，2026年至2034年間的複合年成長率（CAGR）為3.91%。零售分析的日益普及是推動市場成長的主要因素，它透過監控供應商績效、追蹤貨運狀況以及識別物流和配送的改善領域，幫助最佳化供應鏈。

本報告解答的關鍵問題：

  • 日本零售分析市場目前的表現如何？未來幾年又將如何發展？
  • 新冠疫情對日本零售分析市場產生了哪些影響？
  • 日本零售分析市場按組成部分分類的組成是怎樣的？
  • 日本零售分析市場依功能分類的組成是怎樣的？
  • 日本零售分析市場依部署模式分類的組成是怎樣的？
  • 日本零售分析市場依企業規模分類的組成是怎樣的？
  • 日本零售分析市場價值鏈的各個階段有哪些？
  • 日本零售分析的關鍵促進因素和挑戰是什麼？
  • 日本零售分析市場的結構是怎麼樣的？主要參與者有哪些？
  • 日本零售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：日本零售分析市場－簡介

  • 概述
  • 市場動態
  • 產業趨勢
  • 競爭情報

第5章：日本零售分析市場概況

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

第6章：日本零售分析市場－按組成部分分類

  • 軟體
  • 服務

第7章：日本零售分析市場－依功能分類

  • 客戶管理
  • 店內營運
  • 策略與規劃
  • 供應鏈管理
  • 行銷和商品銷售
  • 其他

第8章：日本零售分析市場－依部署模式分類

  • 現場
  • 基於雲端的

第9章：日本零售分析市場－依企業規模分類

  • 中小企業
  • 大型企業

第10章：日本零售分析市場－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11章：日本零售分析市場－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12章：關鍵參與者簡介

第13章：日本零售分析市場－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14章：附錄

簡介目錄
Product Code: SR112026A18358

Japan retail analytics market size reached USD 564.5 Million in 2025. Looking forward, IMARC Group expects the market to reach USD 797.3 Million by 2034, exhibiting a growth rate (CAGR) of 3.91% during 2026-2034. The increasing popularity of retail analytics, which aid in optimizing supply chains by monitoring supplier performance, tracking shipments, and identifying areas for improvement in logistics and distribution, is primarily driving the market.

Retail analytics is the process of collecting and analyzing data from various aspects of a retail business to gain insights that can inform decision-making and improve overall performance. It involves using advanced techniques and tools to examine data related to sales, inventory, customer behavior, and more. By leveraging retail analytics, businesses can optimize their operations in several ways. They can identify trends in customer purchasing habits, allowing for more targeted marketing efforts and product recommendations. Inventory management becomes more efficient by predicting demand and avoiding overstock or stockouts. Pricing strategies can be fine-tuned based on competitive intelligence and consumer demand elasticity. Additionally, retail analytics aids in enhancing the customer experience. Retailers can personalize marketing campaigns and offers, optimize store layouts, and provide better customer service by understanding shopper preferences. In summary, retail analytics empowers retailers to make data-driven decisions that boost profitability, reduce costs, and enhance customer satisfaction, ultimately leading to a more competitive and successful business.

Japan Retail Analytics Market Trends:

The retail analytics market in Japan is experiencing robust growth, primarily driven by several interconnected factors. Firstly, the proliferation of e-commerce has generated an enormous volume of data, prompting retailers to adopt advanced analytics solutions. Additionally, the rising competition among retailers has intensified the need for data-driven decision-making, fostering the demand for analytics tools. Furthermore, the growing consumer expectations for personalized shopping experiences have pushed retailers to invest in analytics to understand and cater to individual preferences. Moreover, the widespread adoption of retail analytics, as it highlighted the importance of inventory optimization, demand forecasting, and supply chain management, is also creating a positive outlook for the market. In tandem with these drivers, the availability of cloud-based analytics solutions has democratized access to data analytics capabilities for retailers of all sizes. Simultaneously, the integration of artificial intelligence and machine learning algorithms into analytics platforms, which has enabled predictive and prescriptive analytics, is expected to drive the retail analytics market in Japan during the forecast period.

Japan Retail Analytics Market Segmentation:

Component Insights:

  • Software
  • Services

Function Insights:

  • Customer Management
  • In-Store Operation
  • Strategy and Planning
  • Supply Chain Management
  • Marketing and Merchandizing
  • Others

Deployment Mode Insights:

  • On-premises
  • Cloud-based

Enterprise Size Insights:

  • Small and Medium-sized Enterprises
  • Large Enterprises

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 in the market. 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 retail 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 retail analytics market?
  • What is the breakup of the Japan retail analytics market on the basis of component?
  • What is the breakup of the Japan retail analytics market on the basis of function?
  • What is the breakup of the Japan retail analytics market on the basis of deployment mode?
  • What is the breakup of the Japan retail analytics market on the basis of enterprise size?
  • What are the various stages in the value chain of the Japan retail analytics market?
  • What are the key driving factors and challenges in the Japan retail analytics?
  • What is the structure of the Japan retail analytics market and who are the key players?
  • What is the degree of competition in the Japan retail 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 Retail Analytics Market - Introduction

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

5 Japan Retail Analytics Market Landscape

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

6 Japan Retail Analytics Market - Breakup by Component

  • 6.1 Software
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2020-2025)
    • 6.1.3 Market Forecast (2026-2034)
  • 6.2 Services
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2020-2025)
    • 6.2.3 Market Forecast (2026-2034)

7 Japan Retail Analytics Market - Breakup by Function

  • 7.1 Customer Management
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2020-2025)
    • 7.1.3 Market Forecast (2026-2034)
  • 7.2 In-Store Operation
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2020-2025)
    • 7.2.3 Market Forecast (2026-2034)
  • 7.3 Strategy and Planning
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2020-2025)
    • 7.3.3 Market Forecast (2026-2034)
  • 7.4 Supply Chain Management
    • 7.4.1 Overview
    • 7.4.2 Historical and Current Market Trends (2020-2025)
    • 7.4.3 Market Forecast (2026-2034)
  • 7.5 Marketing and Merchandizing
    • 7.5.1 Overview
    • 7.5.2 Historical and Current Market Trends (2020-2025)
    • 7.5.3 Market Forecast (2026-2034)
  • 7.6 Others
    • 7.6.1 Historical and Current Market Trends (2020-2025)
    • 7.6.2 Market Forecast (2026-2034)

8 Japan Retail Analytics Market - Breakup by Deployment Mode

  • 8.1 On-premises
    • 8.1.1 Overview
    • 8.1.2 Historical and Current Market Trends (2020-2025)
    • 8.1.3 Market Forecast (2026-2034)
  • 8.2 Cloud-based
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2020-2025)
    • 8.2.3 Market Forecast (2026-2034)

9 Japan Retail Analytics Market - Breakup by Enterprise 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 Retail Analytics Market - Breakup by Region

  • 10.1 Kanto Region
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2020-2025)
    • 10.1.3 Market Breakup by Component
    • 10.1.4 Market Breakup by Function
    • 10.1.5 Market Breakup by Deployment Mode
    • 10.1.6 Market Breakup by Enterprise Size
    • 10.1.7 Key Players
    • 10.1.10 Market Forecast (2026-2034)
  • 10.2 Kansai/Kinki Region
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2020-2025)
    • 10.2.3 Market Breakup by Component
    • 10.2.4 Market Breakup by Function
    • 10.2.5 Market Breakup by Deployment Mode
    • 10.2.6 Market Breakup by Enterprise Size
    • 10.2.7 Key Players
    • 10.2.8 Market Forecast (2026-2034)
  • 10.3 Central/ Chubu Region
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2020-2025)
    • 10.3.3 Market Breakup by Component
    • 10.3.4 Market Breakup by Function
    • 10.3.5 Market Breakup by Deployment Mode
    • 10.3.6 Market Breakup by Enterprise Size
    • 10.3.7 Key Players
    • 10.3.8 Market Forecast (2026-2034)
  • 10.4 Kyushu-Okinawa Region
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2020-2025)
    • 10.4.3 Market Breakup by Component
    • 10.4.4 Market Breakup by Function
    • 10.4.5 Market Breakup by Deployment Mode
    • 10.4.6 Market Breakup by Enterprise Size
    • 10.4.7 Key Players
    • 10.4.8 Market Forecast (2026-2034)
  • 10.5 Tohoku Region
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2020-2025)
    • 10.5.3 Market Breakup by Component
    • 10.5.4 Market Breakup by Function
    • 10.5.5 Market Breakup by Deployment Mode
    • 10.5.6 Market Breakup by Enterprise Size
    • 10.5.7 Key Players
    • 10.5.8 Market Forecast (2026-2034)
  • 10.6 Chugoku Region
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2020-2025)
    • 10.6.3 Market Breakup by Component
    • 10.6.4 Market Breakup by Function
    • 10.6.5 Market Breakup by Deployment Mode
    • 10.6.6 Market Breakup by Enterprise Size
    • 10.6.7 Key Players
    • 10.6.8 Market Forecast (2026-2034)
  • 10.7 Hokkaido Region
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2020-2025)
    • 10.7.3 Market Breakup by Component
    • 10.7.4 Market Breakup by Function
    • 10.7.5 Market Breakup by Deployment Mode
    • 10.7.6 Market Breakup by Enterprise Size
    • 10.7.7 Key Players
    • 10.7.8 Market Forecast (2026-2034)
  • 10.8 Shikoku Region
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2020-2025)
    • 10.8.3 Market Breakup by Component
    • 10.8.4 Market Breakup by Function
    • 10.8.5 Market Breakup by Deployment Mode
    • 10.8.6 Market Breakup by Enterprise Size
    • 10.8.7 Key Players
    • 10.8.8 Market Forecast (2026-2034)

11 Japan Retail 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 Retail 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