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市場調查報告書
商品編碼
1878069

零售分析市場－2025-2030 年預測

Retail Analytics Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

零售分析市場預計將從 2025 年的 80.74 億美元成長到 2030 年的 206.4 億美元，複合年成長率為 20.65%。

零售分析利用巨量資料和資料探勘等先進技術來分析大量資料集，並從中提取可執行的商業智慧。這種方法使企業能夠基於對客戶行為的深刻理解，並制定高效的營運和行銷策略。市場擴張的主要驅動力是零售業不斷提升銷售業績、拓展收入來源以及準確掌握不斷變化的消費者趨勢和偏好。人工智慧 (AI) 與零售系統的整合進一步增強了這種能力，提供更深入的洞察，從而促進銷售成長並改善整體客戶體驗。特別是電子商務公司，正在利用巨量資料分析來解讀客戶的購買習慣，並根據這些關鍵數據洞察採取行動。為了回應日益成長的數位轉型需求，科技公司不斷推出先進的零售分析工具，以服務不斷擴大的市場。

市場成長促進因素

零售分析市場的主要驅動力之一是最佳化門市營運日益成長的需求。對於實體零售商而言，分析已從一種可有可無的附加功能轉變為營運策略的必要組成部分。對客戶數據的深度分析能夠幫助制定旨在提升客戶忠誠度和留存率的精準行銷策略。其優點眾多，從確保產品供應與顧客需求相符到提供高度個人化的購物體驗，不一而足。零售商正透過採用各種技術，例如評估客戶偏好、追蹤店內位置、投放目標廣告和分析購買行為，來實現實體店的數位轉型。這種技術整合不僅提高了營運效率，也推動了對支援這些功能的底層設備和軟體平台的需求。

同時，零售分析在提升利潤方面所展現的顯著優勢，正成為強大的市場催化劑。隨著企業逐漸意識到數據分析投資的財務回報，營運利潤大幅成長的潛力正在推動其應用。零售分析為全通路零售商提供消費者在每個觸點上的全面活動視圖。這種整體觀點使他們能夠及時提供個人化的折扣和促銷活動，從而促進商店即時購買或影響後續的線上銷售，確保交易留在零售商的生態系統內。事實證明，實施這種精準的微定向行銷能夠直接提升商店銷售額和盈利能力，這為實施高階分析解決方案提供了清晰而令人信服的商業理由。

區域展望

從地理角度來看，北美市場預計將在全球零售分析市場佔據主要佔有率，並在預測期內實現顯著成長。這一區域主導地位歸因於幾個關鍵因素，包括零售業數位轉型的持續快速發展。人們越來越認知到，客戶數據分析對於保持競爭優勢至關重要。此外，該地區採用人工智慧 (AI) 和機器學習等先進技術來最佳化零售營運和個人化客戶體驗的比例尤其高。

全通路零售的興起是推動北美零售分析需求成長的核心動力。現今的消費者期望無論線上購物、透過行動應用程式購物或在實體店購物，都能獲得無縫銜接的整合體驗。零售分析為整合來自不同管道的資料奠定了基礎，並提供了一致的、單一的客戶購買歷程觀點。這種能力對於滿足消費者期望和成功實施全通路策略至關重要。成熟的零售環境、強大的技術基礎設施以及以客戶為中心的理念，為北美零售分析市場的持續成長和發展創造了理想的條件。主要企業不斷開發和採用人工智慧平台，凸顯了該地區對利用數據改進決策、客戶分析和競爭評估的強烈需求。

本報告的主要優勢：

  • 深入分析：提供對主要和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、行業垂直領域和其他細分市場。
  • 競爭格局：了解全球主要參與者的策略舉措，並了解透過正確的策略進入市場的機會。
  • 市場促進因素與未來趨勢：探索推動市場的動態因素和關鍵趨勢，以及它們將如何塑造未來的市場發展。
  • 可操作的建議：利用這些見解，在動態環境中做出策略決策，並開拓新的商機和收入來源。
  • 受眾廣泛：適用於Start-Ups、研究機構、顧問公司、中小企業和大型企業，且經濟實惠。

你打算用它來做什麼？

產業與市場分析、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法規結構及影響、新產品開發、競爭情報

研究範圍：

  • 2022年至2024年的歷史數據和2025年至2030年的預測數據
  • 成長機會、挑戰、供應鏈前景、法規結構與趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 按業務板塊和地區分類的收入成長和預測評估，包括國家/地區
  • 公司概況（策略、產品、財務資訊、關鍵發展等）

目錄

第1章執行摘要

第2章 市場概覽

  • 市場概覽
  • 市場定義
  • 調查範圍

第2章市場概述

第3章 商業情境

  • 市場促進因素
  • 市場限制
  • 市場機遇
  • 波特五力分析
  • 產業價值鏈分析
  • 政策和法規
  • 策略建議

第4章 技術展望

第5章 零售分析市場類型

  • 介紹
  • 診斷分析
  • 說明分析
  • 預測分析
  • 預測分析

6. 零售分析市場（依組件分類）

  • 介紹
  • 硬體
  • 軟體
  • 服務

第7章 依部署方式分類的零售分析市場

  • 介紹
  • 雲
  • 本地部署

第8章：零售分析市場應用

  • 介紹
  • 客戶分析
  • 庫存管理
  • 商品行銷
  • 供應鏈
  • 其他

9. 按地區分類的零售分析市場

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 印尼
    • 泰國
    • 其他

第10章 競爭格局與分析

  • 主要企業和策略分析
  • 市佔率分析
  • 合併、收購、協議和合作
  • 競爭對手儀錶板

第11章：公司簡介

  • SAP SE
  • Salesforce, Inc.
  • Oracle Corporation
  • Microsoft Corporation
  • HCL Technologies Limited
  • IBM
  • Qlik
  • Cloud Software Group, Inc.
  • Sisense Inc.
  • Wipro
  • Zoho Corporation
  • Alteryx, Inc.
  • Amazon Web Services Inc.
  • Intel Corporation
  • SAS Institute Inc.

第12章附錄

  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要收益
  • 調查方法
  • 簡稱
簡介目錄
Product Code: KSI061615238

Retail Analytics Market, growing at a 20.65% CAGR, is expected to achieve USD 20.640 billion by 2030 from USD 8.074 billion in 2025.

Retail analytics leverages advanced technologies, including big data and data mining, to analyze vast datasets and extract actionable business intelligence. This discipline enables companies to develop highly efficient operational and marketing strategies rooted in a deep understanding of customer behavior. The primary impetus for market expansion stems from the retail sector's persistent need to enhance sales performance, increase revenue streams, and accurately identify evolving consumer trends and preferences. The integration of artificial intelligence (AI) into retail systems has further amplified this capability, providing profound insights that boost sales and refine the overall customer experience. E-commerce entities, in particular, utilize big data analytics to decipher customer purchasing habits and act upon these critical data insights. In response to the growing demand for digital transformation, technology firms are continually launching sophisticated retail analysis tools to cater to this expanding market.

Market Growth Drivers

A significant driver for the retail analytics market is the increasing demand for optimizing in-store operations. For brick-and-mortar retailers, analytics have transitioned from a luxury to an essential component of operational strategy. A deeper analysis of customer data allows for the creation of targeted strategies aimed at enhancing customer loyalty and stickiness. The benefits are multifaceted, ranging from ensuring product assortments align with customer demand to delivering highly personalized shopping experiences. Retailers are achieving digital transformation within physical stores by deploying various technologies to assess client preferences, track in-store locations, deliver targeted advertisements, and analyze purchasing behaviors. This technological integration not only improves operational efficiency but also drives demand for the underlying consumer electronics and software platforms that enable such capabilities.

Concurrently, the demonstrable advantage of retail analytics in boosting profits represents a powerful market catalyst. The potential for substantial increases in operating earnings drives adoption, as businesses recognize the financial return on investment in data analytics. Retail analytics empowers omnichannel retailers to maintain a comprehensive view of consumer activity across all touchpoints. This holistic perspective allows for the delivery of timely, personalized discounts and promotions that can encourage immediate in-store purchases or influence subsequent online sales, ensuring the transaction remains within the retailer's ecosystem. The ability to engage in such precise micro-targeting has been proven to directly increase in-store sales and profitability, providing a clear and compelling business case for the implementation of advanced analytics solutions.

Geographical Outlook

From a geographical perspective, the North American market is expected to capture a significant share of the global retail analytics market and grow considerably during the forecast period. This regional dominance is attributable to several key factors, including the continuous and rapid pace of digital transformation within the retail sector. There is a growing recognition of the critical importance of customer data analysis for maintaining competitive advantage. Furthermore, the adoption of cutting-edge technologies such as artificial intelligence and machine learning to refine retail operations and personalize customer experiences is particularly advanced in this region.

The rise of omnichannel retailing is a central force propelling the demand for retail analytics in North America. Modern consumers expect a seamless and integrated experience whether they are shopping online, via mobile applications, or in physical stores. Retail analytics provides the essential infrastructure to unify data from these disparate channels, offering a single, coherent view of the customer journey. This capability is fundamental to meeting consumer expectations and executing a successful omnichannel strategy. The mature retail landscape, coupled with a strong technological infrastructure and a focus on customer-centricity, creates an ideal environment for the sustained growth and evolution of the retail analytics market in North America. The ongoing development and launch of AI-powered platforms by leading firms underscore the region's commitment to leveraging data for enhanced decision-making, customer analysis, and competitive evaluation.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

The Retail Analysis Market is segmented and analyzed as follows:

  • RETAIL ANALYTICS MARKET BY TYPE
  • Diagnostics Analytics
  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • RETAIL ANALYTICS MARKET BY COMPONENT
  • Hardware
  • Software
  • Services
  • RETAIL ANALYTICS MARKET BY DEPLOYMENT
  • Cloud
  • On-Premise
  • RETAIL ANALYTICS MARKET BY APPLICATION
  • Customer Analytics
  • Inventory Management
  • Merchandising
  • Supply Chain
  • Others
  • RETAIL ANALYTICS MARKET BY GEOGRAPHY
  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. RETAIL ANALYTICS MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Diagnostics Analytics
  • 5.3. Descriptive Analytics
  • 5.4. Predictive Analytics
  • 5.5. Prescriptive Analytics

6. RETAIL ANALYTICS MARKET BY COMPONENT

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Software
  • 6.4. Services

7. RETAIL ANALYTICS MARKET BY DEPLOYMENT

  • 7.1. Introduction
  • 7.2. Cloud
  • 7.3. On-Premise

8. RETAIL ANALYTICS MARKET BY APPLICATION

  • 8.1. Introduction
  • 8.2. Customer Analytics
  • 8.3. Inventory Management
  • 8.4. Merchandising
  • 8.5. Supply Chain
  • 8.6. Others

9. RETAIL ANALYTICS MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. USA
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. Germany
    • 9.4.2. France
    • 9.4.3. United Kingdom
    • 9.4.4. Spain
    • 9.4.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Israel
    • 9.5.4. Others
  • 9.6. Asia Pacific
    • 9.6.1. China
    • 9.6.2. India
    • 9.6.3. Japan
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Thailand
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. SAP SE
  • 11.2. Salesforce, Inc.
  • 11.3. Oracle Corporation
  • 11.4. Microsoft Corporation
  • 11.5. HCL Technologies Limited
  • 11.6. IBM
  • 11.7. Qlik
  • 11.8. Cloud Software Group, Inc.
  • 11.9. Sisense Inc.
  • 11.10. Wipro
  • 11.11. Zoho Corporation
  • 11.12. Alteryx, Inc.
  • 11.13. Amazon Web Services Inc.
  • 11.14. Intel Corporation
  • 11.15. SAS Institute Inc.

12. APPENDIX

  • 12.1. Currency
  • 12.2. Assumptions
  • 12.3. Base and Forecast Years Timeline
  • 12.4. Key Benefits for the Stakeholders
  • 12.5. Research Methodology
  • 12.6. Abbreviations