查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1878069

零售分析市场－2025-2030 年预测

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个工作天内

价格
简介目录

零售分析市场预计将从 2025 年的 80.74 亿美元成长到 2030 年的 206.4 亿美元，复合年增长率为 20.65%。

零售分析利用巨量资料和资料探勘等先进技术来分析大量资料集，并从中提取可执行的商业智慧。这种方法使企业能够基于对客户行为的深刻理解，并制定高效的营运和行销策略。市场扩张的主要驱动力是零售业不断提升销售业绩、拓展收入来源以及准确掌握不断变化的消费者趋势和偏好。人工智慧 (AI) 与零售系统的整合进一步增强了这种能力，提供更深入的洞察，从而促进销售成长并改善整体客户体验。特别是电子商务公司，正在利用巨量资料分析来解读客户的购买习惯，并根据这些关键数据洞察采取行动。为了回应日益增长的数位转型需求，科技公司不断推出先进的零售分析工具，以服务不断扩大的市场。

市场成长驱动因素

零售分析市场的主要驱动力之一是优化门市营运日益增长的需求。对于实体零售商而言，分析已从一种可有可无的附加功能转变为营运策略的必要组成部分。对客户数据的深度分析能够帮助制定旨在提升客户忠诚度和留存率的精准行销策略。其优点众多，从确保产品供应与顾客需求相符到提供高度个人化的购物体验，不一而足。零售商正透过采用各种技术，例如评估客户偏好、追踪店内位置、投放目标广告和分析购买行为，来实现实体店的数位转型。这种技术整合不仅提高了营运效率，也推动了对支援这些功能的底层设备和软体平台的需求。

同时，零售分析在提升利润方面所展现的显着优势，正成为强大的市场催化剂。随着企业逐渐意识到数据分析投资的财务回报，营运利润大幅成长的潜力正在推动其应用。零售分析为全通路零售商提供消费者在每个触点上的全面活动视图。这种整体观点使他们能够及时提供个人化的折扣和促销活动，从而促进商店即时购买或影响后续的线上销售，确保交易留在零售商的生态系统内。事实证明，实施这种精准的微定向行销能够直接提升商店销售额和盈利能力，这为实施高阶分析解决方案提供了清晰而令人信服的商业理由。

区域展望

从地理角度来看，北美市场预计将在全球零售分析市场占据主要份额，并在预测期内实现显着成长。这一区域主导地位归因于几个关键因素，包括零售业数位转型的持续快速发展。人们越来越认识到，客户数据分析对于保持竞争优势至关重要。此外，该地区采用人工智慧 (AI) 和机器学习等先进技术来优化零售营运和个人化客户体验的比例尤其高。

全通路零售的兴起是推动北美零售分析需求成长的核心动力。现今的消费者期望无论线上购物、透过行动应用程式购物或在实体店购物，都能获得无缝衔接的整合体验。零售分析为整合来自不同管道的资料奠定了基础，并提供了一致的、单一的客户购买历程观点。这种能力对于满足消费者期望和成功实施全通路策略至关重要。成熟的零售环境、强大的技术基础设施以及以客户为中心的理念，为北美零售分析市场的持续成长和发展创造了理想的条件。主要企业不断开发和采用人工智慧平台，凸显了该地区对利用数据改进决策、客户分析和竞争评估的强烈需求。

本报告的主要优势：

  • 深入分析：提供对主要和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、行业垂直领域和其他细分市场。
  • 竞争格局：了解全球主要参与者的策略倡议，并了解透过正确的策略进入市场的机会。
  • 市场驱动因素与未来趋势：探索推动市场的动态因素和关键趋势，以及它们将如何塑造未来的市场发展。
  • 可操作的建议：利用这些见解，在动态环境中做出策略决策，并开拓新的商机和收入来源。
  • 受众广泛：适用于Start-Ups、研究机构、顾问公司、中小企业和大型企业，且经济实惠。

你打算用它来做什么？

产业与市场分析、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法规结构及影响、新产品开发、竞争情报

研究范围：

  • 2022年至2024年的历史数据和2025年至2030年的预测数据
  • 成长机会、挑战、供应链前景、法规结构与趋势分析
  • 竞争定位、策略和市场占有率分析
  • 按业务板块和地区分類的收入成长和预测评估，包括国家/地区
  • 公司概况（策略、产品、财务资讯、关键发展等）

目录

第一章执行摘要

第二章 市场概览

  • 市场概览
  • 市场定义
  • 调查范围

第二章市场概述

第三章 商业情境

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策和法规
  • 策略建议

第四章 技术展望

第五章 零售分析市场类型

  • 介绍
  • 诊断分析
  • 说明分析
  • 预测分析
  • 预测分析

6. 零售分析市场（依组件划分）

  • 介绍
  • 硬体
  • 软体
  • 服务

第七章 依部署方式分類的零售分析市场

  • 介绍
  • 云
  • 本地部署

第八章：零售分析市场应用

  • 介绍
  • 客户分析
  • 库存管理
  • 商品行销
  • 供应链
  • 其他的

9. 按地区分類的零售分析市场

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他的
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 以色列
    • 其他的
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 印尼
    • 泰国
    • 其他的

第十章 竞争格局与分析

  • 主要企业和策略分析
  • 市占率分析
  • 合併、收购、协议和合作
  • 竞争对手仪錶板

第十一章：公司简介

  • 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.

第十二章附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要收益
  • 调查方法
  • 简称
简介目录
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