日本のリテールアナリティクス市場レポート：コンポーネント、機能、展開モード、企業規模、地域別、2025年～2033年

日本のリテールアナリティクス市場の市場規模は2024年に5億4,200万米ドルに達しました。今後、IMARC Groupは、市場は2033年までに7億8,000万米ドルに達し、2025年から2033年にかけて4.1%の成長率（CAGR）を示すと予測しています。サプライヤーの業績監視、出荷の追跡、物流・流通の改善点の特定など、サプライチェーンの最適化を支援するリテールアナリティクスの人気の高まりが、主に市場を牽引しています。

本レポートで扱う主な質問

• 日本のリテールアナリティクス市場はこれまでどのように推移してきたか、また今後どのように推移していくか？
• COVID-19が日本のリテールアナリティクス市場に与えた影響は？
• 日本のリテールアナリティクス市場のコンポーネント別の内訳は？
• 日本のリテールアナリティクス市場の機能別の内訳は？
• 日本のリテールアナリティクス市場の展開モード別の内訳は？
• 日本のリテールアナリティクス市場の企業規模別の内訳は？
• 日本のリテールアナリティクス市場のバリューチェーンにはどのような段階がありますか？
• 日本のリテールアナリティクスの主な促進要因と課題は？
• 日本のリテールアナリティクス市場の構造と主要プレーヤーは？
• 日本のリテールアナリティクス市場における競合の程度は？

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査の目的
• ステークホルダー
• データソース
• 市場推定
• 調査手法

第3章 エグゼクティブサマリー

第4章 日本のリテールアナリティクス市場：イントロダクション

• 概要
• 市場力学
• 業界動向
• 競合情報

第5章 日本のリテールアナリティクス市場情勢

• 過去および現在の市場動向（2019年～2024年）
• 市場予測（2025-2033）

第6章 日本のリテールアナリティクス市場：コンポーネント別の内訳

• ソフトウェア
• サービス

第7章 日本のリテールアナリティクス市場：機能別の内訳

• 顧客管理
• 店舗運営
• 戦略と計画
• サプライチェーンマネジメント
• マーケティングとマーチャンダイジング
• その他

第8章 日本のリテールアナリティクス市場：展開モード別の内訳

• オンプレミス
• クラウドベース

第9章 日本のリテールアナリティクス市場：企業規模別の内訳

• 中小企業
• 大企業

第10章 日本のリテールアナリティクス市場：競合情勢

• 概要
• 市場構造
• 市場プレーヤーのポジショニング
• 主要成功戦略
• 競合ダッシュボード
• 企業評価象限

第11章 主要企業のプロファイル

第12章 日本のリテールアナリティクス市場：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13章 付録

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?

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 (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

13 Appendix