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市场调查报告书
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1554414

2024-2032 年日本零售分析市场报告（按组件、功能、部署模式、企业规模和地区）

Japan Retail Analytics Market Report by Component, Function, Deployment Mode, Enterprise Size, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 121 Pages | 商品交期: 5-7个工作天内

价格
简介目录

日本零售分析市场规模预计 2024 年至 2032 年期间的成长率 (CAGR) 为 4.26%。零售分析的日益普及主要推动了市场的发展，零售分析透过监控供应商绩效、追踪发货以及确定物流和分销方面需要改进的领域来帮助优化供应链。

零售分析是收集和分析零售业务各个方面的资料的过程，以获得可以为决策提供资讯并提高整体绩效的见解。它涉及使用先进的技术和工具来检查与销售、库存、客户行为等相关的资料。透过利用零售分析，企业可以透过多种方式优化其营运。他们可以识别客户购买习惯的趋势，从而实现更有针对性的行销工作和产品推荐。透过预测需求并避免库存过多或缺货，库存管理变得更有效率。定价策略可以根据竞争情报和消费者需求弹性进行微调。此外，零售分析有助于增强客户体验。零售商可以透过了解购物者的偏好来个人化行销活动和优惠、优化商店布局并提供更好的客户服务。总之，零售分析使零售商能够做出数据驱动的决策，从而提高获利能力、降低成本并提高客户满意度，最终实现更具竞争力和成功的业务。

日本零售分析市场趋势：

日本的零售分析市场正在经历强劲成长，这主要是由几个相互关联的因素所推动的。首先，电子商务的激增产生了大量资料，促使零售商采用先进的分析解决方案。此外，零售商之间日益激烈的竞争加剧了对数据驱动决策的需求，从而促进了对分析工具的需求。此外，消费者对个人化购物体验的期望不断增长，促使零售商投资分析以了解和迎合个人偏好。此外，零售分析的广泛采用，因为它强调了库存优化、需求预测和供应链管理的重要性，也为市场创造了积极的前景。与这些驱动因素一起，基于云端的分析解决方案的可用性使各种规模的零售商都可以民主地存取资料分析功能。同时，将人工智慧和机器学习演算法整合到分析平台中，从而实现预测性和规范性分析，预计将在预测期内推动日本零售分析市场的发展。

日本零售分析市场细分：

IMARC Group提供了每个细分市场的主要趋势的分析，以及 2024-2032 年国家层级的预测。我们的报告根据组件、功能、部署模式和企业规模对市场进行了分类。

组件见解：

  • 软体
  • 服务

该报告根据组成部分提供了详细的市场细分和分析。这包括软体和服务。

功能见解：

  • 客户管理
  • 店内营运
  • 策略与规划
  • 供应链管理
  • 行销和推销
  • 其他的

报告还根据功能对市场进行了详细的细分和分析。这包括客户管理、店内营运、策略和规划、供应链管理、行销和推销等。

部署模式见解：

  • 本地
  • 基于云端

该报告根据部署模式对市场进行了详细的细分和分析。这包括本地和基于云端的。

企业规模洞察：

  • 中小企业
  • 大型企业

报告还根据企业规模对市场进行了详细的细分和分析。这包括中小企业和大型企业。

区域见解：

  • 关东地区
  • 关西/近畿地区
  • 中部/中部地区
  • 九州·冲绳地区
  • 东北部地区
  • 中国地区
  • 北海道地区
  • 四国地区

该报告还对所有主要区域市场进行了全面分析，包括关东地区、关西/近畿地区、中部/中部地区、九州冲绳地区、东北地区、中国地区、北海道地区和四国地区。

竞争格局：

市场研究报告也对市场竞争格局进行了全面分析。报告涵盖了市场结构、关键参与者定位、最佳制胜策略、竞争仪表板和公司评估象限等竞争分析。此外，也提供了所有主要公司的详细资料。

本报告回答的关键问题：

  • 到目前为止，日本零售分析市场的表现如何，未来几年将如何表现？
  • COVID-19 对日本零售分析市场有何影响？
  • 日本零售分析市场以组成部分划分是怎样的？
  • 日本零售分析市场依功能划分是怎样的？
  • 日本零售分析市场以部署模式划分是怎样的？
  • 日本零售分析市场依企业规模划分是怎样的？
  • 日本零售分析市场价值链的各个阶段是什么？
  • 日本零售分析的关键驱动因素和挑战是什么？
  • 日本零售分析市场的结构如何？
  • 日本零售分析市场的竞争程度如何？

本报告回答的关键问题：

  • 到目前为止，日本零售分析市场的表现如何，未来几年将如何表现？
  • COVID-19 对日本零售分析市场有何影响？
  • 日本零售分析市场以组成部分划分是怎样的？
  • 日本零售分析市场依功能划分是怎样的？
  • 日本零售分析市场以部署模式划分是怎样的？
  • 日本零售分析市场依企业规模划分是怎样的？
  • 日本零售分析市场价值链的各个阶段是什么？
  • 日本零售分析的关键驱动因素和挑战是什么？
  • 日本零售分析市场的结构如何？
  • 日本零售分析市场的竞争程度如何？

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：日本零售分析市场 - 简介

  • 概述
  • 市场动态
  • 产业动态
  • 竞争情报

第 5 章：日本零售分析市场格局

  • 历史与当前市场趋势（2018-2023）
  • 市场预测（2024-2032）

第 6 章：日本零售分析市场 - 细分：按组成部分

  • 软体
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 服务
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）

第 7 章：日本零售分析市场 - 细分：按功能

  • 客户管理
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 店内营运
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 策略与规划
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 供应链管理
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 行销和推销
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 其他的
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）

第 8 章：日本零售分析市场 - 细分：依部署模式

  • 本地
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 基于云端
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）

第 9 章：日本零售分析市场 - 细分：依企业规模

  • 中小企业
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）
  • 大型企业
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场预测（2024-2032）

第 10 章：日本零售分析市场 - 细分：按地区

  • 关东地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 关西/近畿地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 中部/中部地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 九州·冲绳地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 东北部地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 中国地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 北海道地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）
  • 四国地区
    • 概述
    • 历史与当前市场趋势（2018-2023）
    • 市场区隔：依成分
    • 市场区隔：按功能
    • 市场区隔：依部署模式
    • 市场区隔：依企业规模
    • 关键参与者
    • 市场预测（2024-2032）

第 11 章：日本零售分析市场 - 竞争格局

  • 概述
  • 市场结构
  • 市场参与者定位
  • 最佳制胜策略
  • 竞争仪表板
  • 公司评估象限

第 12 章：关键参与者简介

  • 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

此处未提供公司名称，因为这是目录范例。报告中提供了完整的清单。

第 13 章：日本零售分析市场 - 产业分析

  • 驱动因素、限制因素和机会
    • 概述
    • 司机
    • 限制
    • 机会
  • 波特五力分析
    • 概述
    • 买家的议价能力
    • 供应商的议价能力
    • 竞争程度
    • 新进入者的威胁
    • 替代品的威胁
  • 价值链分析

第 14 章：附录

简介目录
Product Code: SR112024A18358

Japan retail analytics market size is projected to exhibit a growth rate (CAGR) of 4.26% during 2024-2032. 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:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on component, function, deployment mode, and enterprise size.

Component Insights:

  • Software
  • Services

The report has provided a detailed breakup and analysis of the market based on the component. This includes software and services.

Function Insights:

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

A detailed breakup and analysis of the market based on the function have also been provided in the report. This includes customer management, In-store operation, strategy and planning, supply chain management, marketing and merchandizing, and others.

Deployment Mode Insights:

  • On-premises
  • Cloud-based

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based.

Enterprise Size Insights:

  • Small and Medium-sized Enterprises
  • Large Enterprises

A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes small and medium-sized enterprises and 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 (2018-2023)
  • 5.2 Market Forecast (2024-2032)

6 Japan Retail Analytics Market - Breakup by Component

  • 6.1 Software
    • 6.1.1 Overview
    • 6.1.2 Historical and Current Market Trends (2018-2023)
    • 6.1.3 Market Forecast (2024-2032)
  • 6.2 Services
    • 6.2.1 Overview
    • 6.2.2 Historical and Current Market Trends (2018-2023)
    • 6.2.3 Market Forecast (2024-2032)

7 Japan Retail Analytics Market - Breakup by Function

  • 7.1 Customer Management
    • 7.1.1 Overview
    • 7.1.2 Historical and Current Market Trends (2018-2023)
    • 7.1.3 Market Forecast (2024-2032)
  • 7.2 In-Store Operation
    • 7.2.1 Overview
    • 7.2.2 Historical and Current Market Trends (2018-2023)
    • 7.2.3 Market Forecast (2024-2032)
  • 7.3 Strategy and Planning
    • 7.3.1 Overview
    • 7.3.2 Historical and Current Market Trends (2018-2023)
    • 7.3.3 Market Forecast (2024-2032)
  • 7.4 Supply Chain Management
    • 7.4.1 Overview
    • 7.4.2 Historical and Current Market Trends (2018-2023)
    • 7.4.3 Market Forecast (2024-2032)
  • 7.5 Marketing and Merchandizing
    • 7.5.1 Overview
    • 7.5.2 Historical and Current Market Trends (2018-2023)
    • 7.5.3 Market Forecast (2024-2032)
  • 7.6 Others
    • 7.6.1 Historical and Current Market Trends (2018-2023)
    • 7.6.2 Market Forecast (2024-2032)

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 (2018-2023)
    • 8.1.3 Market Forecast (2024-2032)
  • 8.2 Cloud-based
    • 8.2.1 Overview
    • 8.2.2 Historical and Current Market Trends (2018-2023)
    • 8.2.3 Market Forecast (2024-2032)

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 (2018-2023)
    • 9.1.3 Market Forecast (2024-2032)
  • 9.2 Large Enterprises
    • 9.2.1 Overview
    • 9.2.2 Historical and Current Market Trends (2018-2023)
    • 9.2.3 Market Forecast (2024-2032)

10 Japan Retail Analytics Market - Breakup by Region

  • 10.1 Kanto Region
    • 10.1.1 Overview
    • 10.1.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.2 Kansai/Kinki Region
    • 10.2.1 Overview
    • 10.2.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.3 Central/ Chubu Region
    • 10.3.1 Overview
    • 10.3.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.4 Kyushu-Okinawa Region
    • 10.4.1 Overview
    • 10.4.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.5 Tohoku Region
    • 10.5.1 Overview
    • 10.5.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.6 Chugoku Region
    • 10.6.1 Overview
    • 10.6.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.7 Hokkaido Region
    • 10.7.1 Overview
    • 10.7.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)
  • 10.8 Shikoku Region
    • 10.8.1 Overview
    • 10.8.2 Historical and Current Market Trends (2018-2023)
    • 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 (2024-2032)

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

Company names have not been provided here as this is a sample TOC. The complete list is provided in the report.

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