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市场调查报告书
商品编码
1636589

欧洲零售分析:市场占有率分析、产业趋势与统计、成长预测(2025-2030 年)

Europe Retail Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

预计预测期内欧洲零售分析市场复合年增长率将达到 20.76%。

欧洲零售分析-市场-IMG1

主要亮点

  • 该地区使用零售分析的驱动力是能够获得有关客户行为的具体、可操作的见解。我们的零售分析服务旨在为消费者提供个人化的关注。公司正在使用资料主导的零售分析解决方案来满足不断变化的消费者需求和零售商之间在客户忠诚度方面日益激烈的竞争,帮助他们让客户更长时间地参与他们的业务。零售业中的预测分析使零售商能够评估客户资料并预测客户的需求。
  • 此外,从以客户为中心的角度来看,实施零售分析策略旨在为企业提供所需的资源和技术,以创建和自动化跨线上管道的无缝消费者体验。随着越来越多的零售商采用客户关係管理 (CRM) 系统,客户体验正在改善。此外,物联网、POS、RFID等智慧型装置的日益普及将产生大量资料,零售商可以利用资料来发现顾客的购买偏好和隐藏的客户洞察。因此,零售商主要专注于改善客户体验,未来几年对零售分析服务和软体的需求预计将激增。
  • 零售商的主要资源是库存和货架空间分配。分析是指使用分析方法来确定在正确的时间、正确的地点向正确的客户提供正确的数量的正确产品。从微观分析和品类规划的角度来看,这一趋势如今已成为零售业的持续过程。货架空间管理的研究与商店中的顾客偏好以及不同产品组合的财务影响有关。
  • 例如,欧洲新兴企业Trax Ltd. 和 Roamler 已合作为消费包装商品 (CPG) 公司提供商店审核服务。公司不断拍摄货架的照片,以了解货架状况。这提高了货架上的产品供应量,并为商家提供了及时的洞察力,以便做出改善消费者体验的决策。
  • 决策支援系统(DSS)等商业情报工具使欧洲公司能够产生压力测试和销售额预测。 DSS 允许公司进行敏感度分析,以评估外部变数(例如可能的封锁或员工生病)业务的影响。与不使用分析和商业情报的公司相比,青睐资料主导决策的公司有望更好地管理危机并更快地恢復。

零售分析市场趋势

云端运算是市场驱动因素之一

  • 零售商在云端中运行其分析和 BI 有许多理由和经济利益。这些包括独立于基础设施的云端环境的全天候可用性、缩短的 BI 组件部署时间、根据需求扩展或收缩基础设施的灵活性、以及基础设施采购的成本效益。此外,您可以在许可证上花费很多钱,并支援行动和基于网路的远端存取来控制对资料库的访问,确保用户安全并允许您执行分析。
  • 了解 A&BI 平台的总拥有成本 (TOC) 是一项重要的考虑因素。必须评估成本比较,检验基础设施许可证和支援的内部成本与外部云端託管相比。使用 SaaS 时,整体拥有成本通常会较低,原因如下:首先,一些 SaaS 解决方案是多租户平台,允许多个用户共用支援软体的基础设施。即使在共用平台上,用户也能保持其资讯的隐私和个人化。其次,SaaS 分析和 BI 平台不需要公司的伺服器、硬体或 IT 资源来运作软体。
  • SaaS A&BI 平台是自动化的、随时可用的,大大减少了部署时间。可以透过标准的网页浏览器存取 SaaS,从而减少学习曲线并提高采用率。所有使用者都可以使用 SaaS 解决方案,因为它们直观、自助且熟悉。相较之下,内部部署 A&BI 基础设施通常需要数月才能部署,并且需要经过培训的员工来提取见解。
  • 云端解决方案相对于内部部署解决方案的优势有望极大地推动云端的采用。采用资料主导决策的公司预计将比不使用分析和商业情报的公司更好地管理危机并更快地恢復。
  • 根据欧盟统计局的数据,2021 年,云端在电子邮件和文件储存中的使用仍然非常普遍,分别有 79% 和 66% 的使用云端处理的组织报告称,他们使用此类云端服务并报告购买了云端服务。与 2020 年相比,电子邮件、办公室软体以及会计和财务应用程式的云端使用量略有增加(电子邮件和办公室软体增加 3 个百分点,会计应用程式增加 2 个百分点)。其他云端服务的采用率保持相对稳定。

预计法国将实现强劲成长

  • 这家法国零售商必须管理大量信息,从员工资讯到库存详情、供应商资料和客户购买行为。每次互动和资料点都是让您的零售业务更有效率、更成功的机会。微软的商业智慧工具 Power BI 记录这些资料点,并透过建立客户趋势的图形表示来帮助产生可操作的见解。这使得零售商能够使用 BI资料透过个人化实现有效的锁定客户。
  • 此外,随着电子商务的快速崛起,商业智慧可以追踪用户与您的电子商务商店的互动方式。这些资讯使我们能够进一步改善客户的购物和服务体验。此外,在电子商务中,商业情报使零售商能够根据客户行为做出更明智、更有效的决策。这些资料是即时提供的,有助于企业快速调整价格或更改产品供应。
  • 此外,根据欧盟统计局的数据,2021 年在法国网路购物的人中,有 34% 在调查前的三个月内曾经进行过一到两次线上购物。其余三分之二的人在此期间在网路购物三次或三次以上。
  • 根据Retail-Index的数据,截至2021年2月,法国零售市场共有382家零售公司,涵盖20多个类别。服饰有超过 130 家商店,其中 52 家专门销售鞋子和皮革製品。有28家零售公司专门从事食品零售。
  • 有针对性的优惠和预测分析使这家法国零售商能够为每位客户制定高度细緻和个人化的优惠。例如,零售商可以透过提供激励奖励更频繁购物的优惠来个性化店内体验并推动购买。预测分析可用于向客户提升销售和交叉销售。

零售分析行业概览

欧洲零售分析市场报告中的主要参与者是 SAP SE、Oracle Corporation、Qlik Technologies, Inc.、Zoho Corporation、IBM Corporation、Retail Next, Inc.、Alteryx, Inc.、Tableau Software, Inc.、Adobe Systems Incorporated、 Microstrategy, Inc.、Prevedere Software, Inc.、Targit、Pentaho Corporation、ZAP Business Intelligence 和Fuzzy Logix 是部分国内参与者。

2022 年 11 月,RetailNext 宣布从市场研究公司 Ipsos 收购英国竞争对手 Retail Performance,以扩大其在欧洲和亚洲的客流量监测平台。 RetailNext 将此次收购描述为向英国和欧洲零售情报领域的策略扩张。该公司目前的监控业务每年记录50个国家超过4,500家零售店的10多亿次消费者访问。

2022年9月,全球新一代数位服务和顾问公司Infosys与Microsoft Cloud for Retail建立合作伙伴关係。该合作伙伴关係将使零售商能够快速重塑消费者体验、实现流程现代化并透过云端和资料增强系统。作为 Microsoft Cloud for Retail 合作伙伴,Infosys 的零售云端解决方案和产业服务由 Infosys Cobalt 提供,是 Microsoft Cloud 产品的补充。

其他福利:

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场动态

  • 市场概况
  • 市场驱动因素
    • 更重视预测分析
    • 资料量持续成长
    • 销售额预测需求不断增加
  • 限制因素
    • 缺乏新兴地区的公众意识和专业知识
    • 标准化和整合问题
  • 产业价值链分析
  • 产业吸引力-波特五力分析
    • 新进入者的威胁
    • 买家的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争强度

第五章 市场区隔

  • 依部署方式
    • 本地
  • 按类型
    • 解决方案(分析、视觉化工具、资料管理等)
    • 服务(整合、支援和咨询)
  • 按模组类型
    • 策略与规划(宏观趋势、关键绩效指标、价值分析)
    • 行销(定价、忠诚度、細項分析)
    • 财务管理(会计管理)
    • 商店营运(诈欺侦测、劳动力分析)
    • 商品行销(产品组合优化、购物者路径分析)
    • 供应链管理(库存、供应商、供需模型)
    • 其他模组类型
  • 依业务类型
    • 中小型企业
    • 大型组织
  • 按国家
    • 英国
    • 德国
    • 法国
    • 其他国家

第六章 竞争格局

  • 公司简介
    • SAP SE
    • Oracle Corporation
    • Qlik Technologies, Inc.
    • Zoho Corporation
    • IBM Corporation
    • Retail Next, Inc.
    • Alteryx, Inc.
    • Tableau Software, Inc.
    • Adobe Systems Incorporated
    • Microstrategy, Inc.
    • Prevedere Software, Inc.
    • Targit
    • Pentaho Corporation
    • ZAP Business Intelligence
    • Fuzzy Logix

第七章投资分析

  • 近期併购
  • 投资展望

第 8 章:欧洲零售分析市场的未来趋势

简介目录
Product Code: 53590

The Europe Retail Analytics Market is expected to register a CAGR of 20.76% during the forecast period.

Europe Retail Analytics - Market - IMG1

Key Highlights

  • The driving factor for using retail analytics in the region is that it provides tangible and practical insights into customer behavior. Retail analytics services are designed to give each consumer tailored attention. Companies have used data-driven retail analytics solutions that keep customers engaged with the company for a longer period in response to changing consumer needs and increasing rivalry among retailers for customer loyalty. Retail predictive analytics allows retailers to evaluate customer data and anticipate client wants and desires.
  • Furthermore, from a customer-centric standpoint, implementing a retail analytics strategy is intended to offer businesses the resources and technology required to create and automate seamless consumer experiences across online channels. Customer experiences are improving as more retailers implement customer relationship management (CRM) systems. Furthermore, the increased use of IoT, POS, RFID and other smart devices generates enormous data, which merchants can utilize to find client buying preferences and hidden customer insights. As a result, retailers primarily focus on improving customer experience, which is expected to immediately drive demand for retail analytics services and software in the coming years.
  • A retailer's primary resources are product inventory and shelf space allotment. It refers to the use of analytics to decide product offers in the right place, at the right time, and in the appropriate quantity for the right customers. In terms of micro-level analysis and assortment planning, this trend has now become a constant process in the retail industry. Shelf space management is being studied in relation to client preferences in the store and the financial impact of various assortments.
  • For instance, Trax Ltd. and Roamler, two European startups, have joined forces to provide shop auditing services to consumer packaged goods (CPG) corporations. Companies constantly capture shelf photos and provide insights about shelf conditions. It improves product availability on the shelf and enables merchants to get timely insights and make decisions to improve shopper experiences.
  • Business intelligence tools like decision support systems (DSS) have allowed companies in Europe to produce stress tests and sales forecasts, which are significantly used to assess a company's ability to operate under challenging economic scenarios. Utilizing DSS, companies can perform sensitivity analyses to evaluate the impacts of external variables, such as a possible lockdown or employee sickness, on their operations. Companies that favor data-driven decision-making are more expected to manage the crisis better and recover faster than businesses that do not use analytics and business intelligence.

Retail Analytics Market Trends

Cloud Segment is One of the Factors Driving the Market

  • There are various reasons and financial benefits for retailers to have their analytics and BI on the cloud. Some of them are the 24x7 availability of the cloud environment without any infrastructure dependency, the reduction of the time taken to deploy BI components, the flexibility of scaling up or scaling down the infrastructure based on the requirement, and the cost-effectiveness in terms of infrastructure procurement. Additionally, the massive spending on licenses and the support of mobile and web-based remote access to control database access ensure user security and perform analytics.
  • Knowing the Total Cost of Ownership (TOC) of the A&BI platform is a significant consideration. A cost comparison that examines the internal costs of infrastructure licensing and support compared to external cloud hosting must be assessed. With SaaS, the total cost of ownership is typically lower due to several factors. First, some SaaS solutions are multitenant platforms that allow several users to share the software's underlying infrastructure. Even though it could be a shared platform, users retain their private and separate information. Second, SaaS analytics and BI platforms don't need the business's servers, hardware, or IT resources to get the software up and running.
  • Because SaaS A&BI platforms are automated and ready to use, they have significantly less implementation time- typically a matter of days. SaaS is accessible via standard web browsers, resulting in reduced learning curves and higher adoption rates. Because SaaS solutions are intuitive, self-service, and approachable, they are accessible to all users. On the other hand, implementation of on-premise A&BI infrastructure generally takes months and requires trained employees to extract insights.
  • The advantages of cloud solutions over on-premise solutions are expected to drive cloud deployment significantly. Companies that favor data-driven decision-making are expected to manage the crisis better and recover faster than businesses that do not use analytics and business intelligence.
  • According to Eurostat, In 2021, the usage of the cloud for e-mail and file storage was still prevalent, with 79% and 66% of organizations utilizing cloud computing, respectively, reporting purchasing these sorts of cloud services. Compared to 2020, the use of e-mail, office software, and accounting and financial apps in the cloud increased moderately (+3 % points for both e-mail and office software and +2% points for accounting applications). The adoption of other forms of cloud services remained relatively constant.

France is Expected to Observe Significant Growth

  • Retail businesses in France have to manage an enormous amount of information, from employee information to inventory details and supplier data to customer buying behavior. Every interaction and data point offers an opportunity to make the retail business more efficient and successful. Microsoft's Power BI, a BI tool, records these data points and helps generate actionable insights via its graphical representations of customer trends. Retailers can thus leverage BI data for effectively targeting customers through personalization.
  • Moreover, with the rapid rise of e-commerce, business intelligence can track how users interact with e-commerce stores. This information can further enhance the customer shopping and service experience. E-commerce also allows retailers to make smart, efficient decisions based on customer behavior with business intelligence. This data can be viewed in real-time, enabling businesses to adjust prices or alter merchandise offerings quickly.
  • Further, according to Eurostat, among people shopping online in France in 2021, 34 % did so once or twice in the three months before the survey. The remaining two-thirds engaged in this activity three or more times during this period.
  • According to Retail-Index, The French retail market had 382 separate retailer enterprises across over 20 categories as of February 2021. There were over 130 different stores in the garment industry, with 52 specializing in selling footwear and leather goods. Twenty-eight retail enterprises focused on the food retail sector.
  • Targeted offers and predictive analytics enable merchants in France to develop highly personalized offers to all their customers at a very granular level. For instance, retailers can personalize the in-store experience by providing offers to incentivize frequent buying to drive more purchases, thereby achieving higher sales across all their channels. Predictive analytics can be used to upsell or cross-sell a customer.

Retail Analytics Industry Overview

The major players operating in the European retail analytics market report are SAP SE, Oracle Corporation, Qlik Technologies, Inc., Zoho Corporation, IBM Corporation, Retail Next, Inc., Alteryx, Inc., Tableau Software, Inc., Adobe Systems Incorporated, Microstrategy, Inc., Prevedere Software, Inc., Targit, Pentaho Corporation, ZAP Business Intelligence, Fuzzy Logix, among other domestic players.

In November 2022, RetailNext announced the acquisition of U.K. rival Retail Performance from market research firm Ipsos to expand its foot-traffic-monitoring platform in Europe and Asia. RetailNext described the transaction as a strategic expansion in the United Kingdom and Europe's retail intelligence area. The company's current monitoring operations log more than 1 billion consumer visits annually across over 4,500 retail locations in 50 countries.

In September 2022, Infosys, a global player in next-generation digital services and consulting, partnered with Microsoft Cloud for Retail. Retail organizations will be able to rapidly reimagine consumer experiences, refresh processes, and amplify systems with cloud and data due to this partnership. Infosys cloud solutions and industry services for retailers would be made available as a Microsoft Cloud for Retail partners, complementing Microsoft Cloud products within Infosys Cobalt.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increased Emphasis on Predictive Analysis
    • 4.2.2 Sustained Increase in Volume of Data
    • 4.2.3 Growing Demand for Sales Forecasting
  • 4.3 Restraints
    • 4.3.1 Lack of General Awareness and Expertise in Emerging Regions
    • 4.3.2 Standardization and Integration Issues
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Mode of Deployment
    • 5.1.1 On-Premise
    • 5.1.2 Cloud
  • 5.2 By Type
    • 5.2.1 Solutions (Analytics, Visualization Tools, Data Management, etc.)
    • 5.2.2 Services (Integration, Support & Consulting)
  • 5.3 By Module Type
    • 5.3.1 Strategy & Planning (Macro Trends, KPI, Value Analysis)
    • 5.3.2 Marketing (Pricing, Loyalty and Segment Analysis)
    • 5.3.3 Financial Management (Accounts Management)
    • 5.3.4 Store Operations (Fraud Detection, Workforce Analytics)
    • 5.3.5 Merchandising (Assortment Optimization, Shopper Path Analytics)
    • 5.3.6 Supply Chain Management (Inventory, Vendor and Supply-Demand Modelling)
    • 5.3.7 Other Module Types
  • 5.4 By Business Type
    • 5.4.1 Small & Medium Enterprises
    • 5.4.2 Large-scale organizations
  • 5.5 By Country
    • 5.5.1 United Kingdom
    • 5.5.2 Germany
    • 5.5.3 France
    • 5.5.4 Other Countries

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 SAP SE
    • 6.1.2 Oracle Corporation
    • 6.1.3 Qlik Technologies, Inc.
    • 6.1.4 Zoho Corporation
    • 6.1.5 IBM Corporation
    • 6.1.6 Retail Next, Inc.
    • 6.1.7 Alteryx, Inc.
    • 6.1.8 Tableau Software, Inc.
    • 6.1.9 Adobe Systems Incorporated
    • 6.1.10 Microstrategy, Inc.
    • 6.1.11 Prevedere Software, Inc.
    • 6.1.12 Targit
    • 6.1.13 Pentaho Corporation
    • 6.1.14 ZAP Business Intelligence
    • 6.1.15 Fuzzy Logix

7 INVESTMENT ANALYSIS

  • 7.1 Recent Mergers & Acquisitions
  • 7.2 Investment Outlook

8 FUTURE TRENDS IN EUROPE RETAIL ANALYTICS MARKET