零售分析市场规模、份额和成长分析(按部署类型、零售店类型、功能和地区划分)-2026-2033年产业预测
市场调查报告书
商品编码
1902047

零售分析市场规模、份额和成长分析(按部署类型、零售店类型、功能和地区划分)-2026-2033年产业预测

Retail Analytics Market Size, Share, and Growth Analysis, By Deployment (On-Premise, Cloud), By Retail Store Type (Hypermarkets & Supermarkets, Retail Chains), By Function, By Region-Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

价格
简介目录

预计到 2024 年,零售分析市场价值将达到 100.7 亿美元,到 2025 年将成长至 125.2 亿美元,到 2033 年将成长至 713.3 亿美元,在预测期(2026-2033 年)内复合年增长率为 24.3%。

零售分析借助巨量资料、资料探勘和机器学习技术,分析海量资料集,为企业提供关键洞察,从而支援资料驱动的决策并提升营运效率。了解消费者行为模式,有助于零售商更能掌握市场趋势和消费者偏好,最终实现营收成长和销售绩效提升。此外,全通路商务的兴起实现了跨平台无缝购物体验,而人工智慧驱动的分析解决方案则能够预测客户需求、客製化个人化产品和服务并优化库存管理。这些创新不仅提升了客户满意度,还有助于提高供应链营运效率并降低成本。随着电子商务和数位支付系统产生大量数据,利用先进的零售分析技术已成为企业在竞争激烈的市场环境中蓬勃发展并赢得市场优势的关键。

零售分析市场驱动因素

全球零售分析市场的主要驱动力之一是零售商日益增长的数据驱动决策需求,以改善客户体验并提升营运效率。随着消费者行为变得日益复杂且数据丰富,零售商正利用分析工具从大量的交易和行为数据中获取洞察。这使他们能够优化库存管理、个人化行销策略并提高整个供应链的效率。此外,全通路零售策略的日益普及也迫使企业利用分析技术来全面了解客户在不同平台上的互动情况,进一步推动零售分析产业的成长。

零售分析市场限制因素

全球零售分析市场面临的主要限制因素是对资料隐私和安全的担忧。随着零售商越来越依赖数据驱动的洞察来改善客户体验和营运效率,他们也必须遵守严格的客户资料保护法规。资料外洩或未授权存取敏感资讯的可能性会导致法律责任、消费者信任度下降和声誉受损。此外,确保遵守不同地区的资料保护法律也极具挑战性,这阻碍了全面分析解决方案的有效部署。这种情况使得零售商在全面采用先进分析技术方面犹豫不决。

零售分析市场趋势

随着全通路零售的兴起,零售分析市场正经历一场重大变革时期。零售商致力于在实体店、线上平台和行动应用之间打造无缝体验,而这种整合需要强大的分析解决方案来捕捉和分析客户在多个触点的行为。这使得零售商能够优化营运效率、改善库存管理并增强个人化策略。随着零售商越来越多地采用全通路模式,对能够帮助企业在竞争激烈的市场环境中提供统一而又个性化的客户体验的先进分析工具的需求也日益增长,最终提升客户忠诚度并促进收入增长。

目录

介绍

  • 调查目标
  • 调查范围
  • 定义

调查方法

  • 资讯收集
  • 二手资料和一手资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 细分市场机会分析

市场动态与展望

  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 限制与挑战
  • 波特分析

关键市场考察

  • 关键成功因素
  • 竞争程度
  • 关键投资机会
  • 市场生态系统
  • 市场吸引力指数(2025)
  • PESTEL 分析
  • 总体经济指标
  • 价值链分析
  • 定价分析
  • 案例研究
  • 专利分析
  • 客户和采购标准分析
  • 技术分析

全球零售分析市场规模(依产品/服务划分)及复合年增长率(2026-2033 年)

  • 软体
    • 软体分析
    • 说明分析
    • 诊断分析
    • 预测分析
    • 预测分析
    • 实施表格
    • 本地部署
  • 服务
    • 专业服务
    • 咨询顾问
    • 整合与实施
    • 支援与维护
    • 培训和教育
    • 託管服务

全球零售分析市场规模(依业务功能划分)及复合年增长率(2026-2033 年)

  • 销售与行销
  • 财会
  • 营运和供应链
  • 人力资源

全球零售分析市场规模(依应用领域及复合年增长率划分)(2026-2033 年)

  • 订单履行和退货管理
    • 订单处理和包装
    • 配送/运输
    • 退货处理
    • 支付处理
  • 客户关係管理
    • 客户区隔
    • 收益优化
    • 客户维繫
    • 预测建模
  • 价格建议和优化
    • 个性化定价
    • 即时价格调整
    • 价格优化策略
  • 产品规划
    • 需求感知与预测
    • 趋势分析
    • 产品组合规划
  • 供应链管理
    • 合约管理
    • 供应商管理
    • 工单管理
    • 帐单管理
  • 诈欺检测与预防
    • 销售点(POS)检验
    • 产品仿冒品管理
    • 根本原因分析
    • 风险评估与合规管理
  • 其他用途

全球零售分析市场规模及复合年增长率(2026-2033)

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲
    • 海湾合作委员会国家
    • 南非
    • 其他中东和非洲地区

竞争资讯

  • 前五大公司对比
  • 主要企业的市场定位(2025 年)
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市占率分析(2025 年)
  • 主要企业公司简介
    • 公司详情
    • 产品系列分析
    • 依业务板块进行公司股票分析
    • 2023-2025年营收年比比较

主要企业简介

  • Adobe Systems(US)
  • Oracle(US)
  • IBM(US)
  • SAS Institute(US)
  • SAP AG(Germany)
  • Microsoft Corporation(US)
  • Tableau Software(US)
  • MicroStrategy(US)
  • Teradata(US)
  • HCL Technologies(India)
  • Information Builders(US)
  • Wipro Limited(India)
  • Fujitsu Limited(Japan)
  • Tata Consultancy Services(India)
  • Zoho Corporation(India)

结论与建议

简介目录
Product Code: SQMIG45C2048

Retail Analytics Market size was valued at USD 10.07 Billion in 2024 and is poised to grow from USD 12.52 Billion in 2025 to USD 71.33 Billion by 2033, growing at a CAGR of 24.3% during the forecast period (2026-2033).

Retail analytics, powered by big data, data mining, and machine learning, provides essential insights for businesses by analyzing extensive datasets to inform data-driven decisions and enhance operations. By discerning patterns in consumer behavior, retailers can better understand market trends and consumer preferences, ultimately driving revenue growth and improved sales performance. Additionally, the rise of omnichannel commerce facilitates a seamless shopping experience across various platforms, while AI-driven analytics solutions enable businesses to anticipate customer demand, tailor offers, and optimize inventory management. These innovations not only enhance client satisfaction but also promote efficient supply chain operations and cost reduction. As e-commerce and digital payment systems generate vast data volumes, leveraging advanced retail analytics becomes vital for firms to thrive in a competitive landscape and secure a market advantage.

Top-down and bottom-up approaches were used to estimate and validate the size of the Retail Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Retail Analytics Market Segments Analysis

Global Retail Analytics Market is segmented by Offering, Business Function, Application and region. Based on Offering, the market is segmented into Software and Services. Based on Business Function, the market is segmented into Sales & Marketing, Finance & Accounting, Operations & Supply Chain and HR. Based on Application, the market is segmented into Order Fulfillment & Returns Management,Customer Relationship Management, Price Recommendation & Optimization, Merchandise Planning, Supply Chain Management, Fraud Detection & Prevention and Other Applications. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Retail Analytics Market

One of the key market drivers for the Global Retail Analytics Market is the growing need for data-driven decision-making among retailers to enhance customer experience and operational efficiency. As consumer behavior becomes increasingly complex and data-rich, retailers are turning to analytics tools to gather insights from vast amounts of transactional and behavioral data. This enables them to optimize inventory management, personalize marketing strategies, and improve overall supply chain effectiveness. Moreover, the rising adoption of omnichannel retail strategies compels businesses to leverage analytics for a holistic view of customer interactions across various platforms, further fueling growth in the retail analytics sector.

Restraints in the Retail Analytics Market

A significant market restraint for the global retail analytics market is the challenge of data privacy and security concerns. As retailers increasingly rely on data-driven insights to enhance customer experiences and operational efficiency, they must also navigate stringent regulations surrounding customer data protection. The potential for data breaches and unauthorized access to sensitive information can lead to legal ramifications, loss of consumer trust, and reputational damage. Additionally, businesses may face difficulties in ensuring compliance with varying data protection laws across regions, which can hinder their ability to implement comprehensive analytics solutions effectively. This landscape creates hesitation among retailers to fully adopt advanced analytics technologies.

Market Trends of the Retail Analytics Market

The retail analytics market is witnessing a significant shift driven by the rise of omnichannel retailing, as retailers strive to create seamless experiences across physical stores, online platforms, and mobile applications. This integration necessitates robust analytics solutions to capture and analyze customer behavior at multiple touchpoints, enabling retailers to optimize operational efficiency, refine inventory management, and enhance personalization strategies. As retailers increasingly adopt omnichannel methods, the demand for sophisticated analytical tools is growing, allowing businesses to deliver uniform and tailored customer experiences, ultimately leading to increased loyalty and revenue growth in a highly competitive landscape.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2025
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Case Studies
  • Patent Analysis
  • Customer And Buying Criteria Analysis
  • Technology Analysis

Global Retail Analytics Market Size by Offering & CAGR (2026-2033)

  • Market Overview
  • Software
    • Software Analytics
    • Descriptive Analytics
    • Diagnostic Analytics
    • Predictive Analytics
    • Prescriptive Analytics
    • Deployment Mode
    • On-premises
    • Cloud
  • Services
    • Professional Services
    • Consulting & Advisory
    • Integration & Deployment
    • Support & Maintenance
    • Training & Education
    • Managed Services

Global Retail Analytics Market Size by Business Function & CAGR (2026-2033)

  • Market Overview
  • Sales & Marketing
  • Finance & Accounting
  • Operations & Supply Chain
  • HR

Global Retail Analytics Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Order Fulfillment & Returns Management
    • Order Processing & Packaging
    • Shipping & Transportation
    • Returns Processing
    • Payment Processing
  • Customer Relationship Management
    • Customer Segmentation
    • Revenue Optimization
    • Customer Retention
    • Predictive Modeling
  • Price Recommendation & Optimization
    • Personalized Pricing
    • Real-Time Price Adjustment
    • Price Optimization Strategy
  • Merchandise Planning
    • Demand Sensing & Forecasting
    • Trend Analysis
    • Assortment Planning
  • Supply Chain Management
    • Contract Management
    • Vendor Management
    • Work Order Management
    • Invoice Management
  • Fraud Detection & Prevention
    • Point-Of-Sale (POS) Verification
    • Product Counterfeit Management
    • Root Cause Analysis
    • Risk Assessment & Compliance Management
  • Other Applications

Global Retail Analytics Market Size & CAGR (2026-2033)

  • North America (Offering, Business Function, Application)
    • US
    • Canada
  • Europe (Offering, Business Function, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Offering, Business Function, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Offering, Business Function, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Offering, Business Function, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

  • Adobe Systems (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP AG (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tableau Software (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • MicroStrategy (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Teradata (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • HCL Technologies (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Information Builders (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Wipro Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fujitsu Limited (Japan)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tata Consultancy Services (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Zoho Corporation (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations