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市場調查報告書

商品編碼

1609754

2025-2033 年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）

Japan Retail Analytics Market Report by Component, Function, Deployment Mode, Enterprise Size, and Region 2025-2033

出版日期: 2024年12月05日 | 出版商:

IMARC | 英文 121 Pages | 商品交期: 5-7個工作天內

價格

簡介目錄

2024 年日本零售分析市場IMARC Group達 5.42 億美元。零售分析的日益普及主要推動了市場的發展，零售分析透過監控供應商績效、追蹤出貨以及確定物流和分銷方面需要改進的領域來幫助最佳化供應鏈。

零售分析是收集和分析零售業務各個方面的資料的過程，以獲得可以為決策提供資訊並提高整體績效的見解。它涉及使用先進的技術和工具來檢查與銷售、庫存、客戶行為等相關的資料。透過利用零售分析，企業可以透過多種方式最佳化其營運。他們可以識別客戶購買習慣的趨勢，從而進行更有針對性的行銷工作和產品推薦。透過預測需求並避免庫存過多或缺貨，庫存管理變得更有效率。定價策略可以根據競爭情報和消費者需求彈性進行微調。此外，零售分析有助於增強客戶體驗。零售商可以透過了解購物者的偏好來個人化行銷活動和優惠、最佳化商店佈局並提供更好的客戶服務。總之，零售分析使零售商能夠做出數據驅動的決策，從而提高獲利能力、降低成本並提高客戶滿意度，最終實現更具競爭力和成功的業務。

日本零售分析市場趨勢：

日本的零售分析市場正在經歷強勁成長，這主要是由幾個相互關聯的因素所推動的。首先，電子商務的激增產生了大量資料，促使零售商採用先進的分析解決方案。此外，零售商之間日益激烈的競爭加劇了對數據驅動決策的需求，從而促進了對分析工具的需求。此外，消費者對個人化購物體驗的期望不斷成長，促使零售商投資分析以了解和迎合個人偏好。此外，零售分析的廣泛採用，因為它強調了庫存最佳化、需求預測和供應鏈管理的重要性，也為市場創造了積極的前景。與這些促進因素一起，基於雲端的分析解決方案的可用性使各種規模的零售商都可以民主地存取資料分析功能。同時，將人工智慧和機器學習演算法整合到分析平台中，從而實現預測性和規範性分析，預計將在預測期內推動日本零售分析市場的發展。

日本零售分析市場細分：

組件見解：

軟體
服務

功能見解：

客戶管理
店內營運
策略與規劃
供應鏈管理
行銷和推銷
其他

部署模式見解：

本地
基於雲端

企業規模洞察：

中小企業
大型企業

競爭格局：

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

本報告回答的關鍵問題：

到目前為止，日本零售分析市場的表現如何以及未來幾年的表現如何？
COVID-19 對日本零售分析市場有何影響？
日本零售分析市場以組成部分分類是怎樣的？
日本零售分析市場依功能分類是怎樣的？
日本零售分析市場以部署模式分類是怎樣的？
日本零售分析市場依企業規模分類是怎樣的？
日本零售分析市場價值鏈的各個階段是什麼？
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如何？
日本零售分析市場的競爭程度如何？

本報告回答的關鍵問題：

到目前為止，日本零售分析市場的表現如何以及未來幾年的表現如何？
COVID-19 對日本零售分析市場有何影響？
日本零售分析市場以組成部分分類是怎樣的？
日本零售分析市場依功能分類是怎樣的？
日本零售分析市場以部署模式分類是怎樣的？
日本零售分析市場依企業規模分類是怎樣的？
日本零售分析市場價值鏈的各個階段是什麼？
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如何？
日本零售分析市場的競爭程度如何？

客戶管理
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
店內營運
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
策略與規劃
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
供應鏈管理
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
行銷和推銷
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
其他
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）

第 8 章：日本零售分析市場 - 細分：依部署模式

本地
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
基於雲端
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）

第 9 章：日本零售分析市場 - 細分：依企業規模

中小企業
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）
大型企業
- 概述
- 歷史與當前市場趨勢（2019-2024）
- 市場預測（2025-2033）

第 10 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
競爭儀表板
公司評估象限

第 11 章：關鍵參與者簡介

Company A

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company B

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company C

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company D

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

Company E

Business Overview
Product Portfolio
Business Strategies
SWOT Analysis
Major News and Events

第 12 章：日本零售分析市場 - 產業分析

促進因素、限制因素和機會
- 概述
- 促進要素
- 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 13 章：附錄

簡介目錄

Product Code: SR112024A18358

Japan retail analytics market size reached USD 542 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 780 Million by 2033, exhibiting a growth rate (CAGR) of 4.1% during 2025-2033. 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

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?

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

6 Japan Retail Analytics Market - Breakup by Component

6.1 Software
- 6.1.1 Overview
- 6.1.2 Historical and Current Market Trends (2019-2024)
- 6.1.3 Market Forecast (2025-2033)
6.2 Services
- 6.2.1 Overview
- 6.2.2 Historical and Current Market Trends (2019-2024)
- 6.2.3 Market Forecast (2025-2033)

7 Japan Retail Analytics Market - Breakup by Function

7.1 Customer Management
- 7.1.1 Overview
- 7.1.2 Historical and Current Market Trends (2019-2024)
- 7.1.3 Market Forecast (2025-2033)
7.2 In-Store Operation
- 7.2.1 Overview
- 7.2.2 Historical and Current Market Trends (2019-2024)
- 7.2.3 Market Forecast (2025-2033)
7.3 Strategy and Planning
- 7.3.1 Overview
- 7.3.2 Historical and Current Market Trends (2019-2024)
- 7.3.3 Market Forecast (2025-2033)
7.4 Supply Chain Management
- 7.4.1 Overview
- 7.4.2 Historical and Current Market Trends (2019-2024)
- 7.4.3 Market Forecast (2025-2033)
7.5 Marketing and Merchandizing
- 7.5.1 Overview
- 7.5.2 Historical and Current Market Trends (2019-2024)
- 7.5.3 Market Forecast (2025-2033)
7.6 Others
- 7.6.1 Historical and Current Market Trends (2019-2024)
- 7.6.2 Market Forecast (2025-2033)

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 (2019-2024)
- 8.1.3 Market Forecast (2025-2033)
8.2 Cloud-based
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2019-2024)
- 8.2.3 Market Forecast (2025-2033)

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 (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 Retail Analytics Market - Competitive Landscape

10.1 Overview
10.2 Market Structure
10.3 Market Player Positioning
10.4 Top Winning Strategies
10.5 Competitive Dashboard
10.6 Company Evaluation Quadrant

11 Profiles of Key Players

11.1 Company A
- 11.1.1 Business Overview
- 11.1.2 Product Portfolio
- 11.1.3 Business Strategies
- 11.1.4 SWOT Analysis
- 11.1.5 Major News and Events
11.2 Company B
- 11.2.1 Business Overview
- 11.2.2 Product Portfolio
- 11.2.3 Business Strategies
- 11.2.4 SWOT Analysis
- 11.2.5 Major News and Events
11.3 Company C
- 11.3.1 Business Overview
- 11.3.2 Product Portfolio
- 11.3.3 Business Strategies
- 11.3.4 SWOT Analysis
- 11.3.5 Major News and Events
11.4 Company D
- 11.4.1 Business Overview
- 11.4.2 Product Portfolio
- 11.4.3 Business Strategies
- 11.4.4 SWOT Analysis
- 11.4.5 Major News and Events
11.5 Company E
- 11.5.1 Business Overview
- 11.5.2 Product Portfolio
- 11.5.3 Business Strategies
- 11.5.4 SWOT Analysis
- 11.5.5 Major News and Events

12 Japan Retail Analytics Market - Industry Analysis

12.1 Drivers, Restraints, and Opportunities
- 12.1.1 Overview
- 12.1.2 Drivers
- 12.1.3 Restraints
- 12.1.4 Opportunities
12.2 Porters Five Forces Analysis
- 12.2.1 Overview
- 12.2.2 Bargaining Power of Buyers
- 12.2.3 Bargaining Power of Suppliers
- 12.2.4 Degree of Competition
- 12.2.5 Threat of New Entrants
- 12.2.6 Threat of Substitutes
12.3 Value Chain Analysis