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市場調查報告書
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1444672

零售分析 - 市場佔有率分析、產業趨勢與統計、成長預測（2024 - 2029）

Retail Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

零售分析市場規模估計到2024年為 63.3 億美元，預計到2029年將達到 77.9 億美元，在預測期內（2024-2029年）CAGR為 4.23%。

零售分析 - 市場

零售資料分析透過分析歷史資料來實現更明智的決策、改善營運並增加銷售。最終用戶資料和後端流程（例如供應鏈和庫存管理）一直是資料分析的主要來源。

主要亮點

  • 商業智慧和分析系統已與後端應用程式整合，以更佳了解購物者的行為，促進一致的客戶對話。所採用的全通路策略透過整合不同的資料來源並在客戶的首選管道上與客戶進行溝通，引導分析來滿足多種管道的需求。向強烈個人化邁出的進一步一步加強了典型的客戶終身價值和接觸點。因此，目前的零售商更傾向於收集和分析位置、社交情緒、點擊流等資料。
  • 透過獲取消費者行為資料來改善消費者體驗和零售營運的數位化推動零售分析行業向前發展。採用零售分析的主要優點是它提供了有關客戶行為的特定且有意義的資料。當業務經理了解如何估計財務回報時，管理公司的任何領域都會變得更加容易，而零售分析可以提供企業用來做出選擇的資訊。零售分析為商家提供了清晰的業務概況，從分析社群媒體評論到了解活動對商店轉換率的影響。
  • 根據 IBM 的一項調查，高層估計，COVID-19 使他們的數位化進程加快了 67%；此外，疫情促使92%的他們將「提高營運效率」視為首要任務。
  • 電子商務的出現使得實體店擴張的傳統成長途徑已經過時。線上平台、本地化分類和國際市場擴張已經改變了商品分析的方式。來自線上平台的激烈競爭促使零售商進入該領域，並提供了更清晰的分類、定價、促銷、採購、補貨以及店內規劃和執行的情況。
  • COVID-19的疫情引發了全球零售企業的數位化。這場大流行迫使傳統零售業發生根本性轉變，轉向以人工智慧和分析等強大數位工具為中心的現代電子商務策略。線上消費習慣的日益普及，加劇了對數位創新和顛覆的需求。增加使用人工智慧來客製化購物體驗、提高客戶保留率並提高銷售效率將有利於企業發展。

零售分析市場趨勢

店內營運佔主要佔有率

  • 基於店內營運的分析已成為實體零售商營運策略中不可或缺的一部分。透過向合適的客戶提供合適的產品等好處，對忠誠客戶的進一步了解有助於制定提高客戶黏性的策略。
  • 當零售商使用多種技術（例如評估客戶偏好、識別客戶在店內的位置、有針對性的促銷和購買習慣）向消費者提供客製化體驗時，他們就實現了商店的數位轉型。商店監控技術分析這些趨勢，提供有價值的見解，幫助商家增加收入、銷售額和客流量。
  • 例如，2022年 6月，亞馬遜推出了新的商店分析服務。這家電子商務巨頭現在正試圖透過向行銷人員提供客戶購買商品的資料來從其實體店面中獲利。
  • 據NewGenApps表示，選擇充分利用巨量資料分析潛力的商家可能會將其營業利潤提高60%。此外，全通路零售商可以監控店內買家行為並及時向客戶提供優惠，以獎勵店內購買或隨後的線上銷售，將交易保持在零售商的範圍內。
  • 資料分析和諮詢公司 Quantzig 透過微觀定位提高了店內銷售額，並將德國時裝零售商的利潤提高了 12%。該零售商面臨的挑戰主要集中在如何在正確的時間向正確的資源提供洞察、缺乏明確闡述的分析策略以及資料品質差。

歐洲將佔據重要佔有率

  • 由於IBM公司和SAP SE等大型企業的存在，歐洲市場表現強勁，它們是預測分析和高級零售分析軟體的領先供應商。此外，超過 600 萬家公司活躍在該地區，員工超過 3,300 萬人。歐洲是世界上許多大型零售商的所在地，例如Tesco、Carrefour、Lidl、Metro AG和Aldi。
  • 最受歡迎的線上愛好之一是網路購物。它為客戶提供了大量的商品，也為電子商務公司帶來了許多銷售困難。此外，零售業務中擴大使用雲端服務將為歐洲零售分析市場在不久的將來提供可能性。
  • 例如，2022年 10月，Avery Dennison宣布與 SAP 合作，透過連接各自的分析產品雲來解決零售業的浪費問題，使超市能夠監控和最佳化其商品的有效期。兩家公司已同意透過OEM安排將 SAP Analytics Cloud 整合到Avery Dennison的 atma.io 連接產品雲中。據報道，這些資料透過 atma.io 提供給 SAP Analytics 工具，並使用Avery Dennison的數位辨識技術（例如無線射頻辨識（RFID））標記物品。
  • 使用複雜的分析使網際網路購物變得更加智慧，並將實體資料和線上資料相結合，可以幫助商家客製化目標，逐步改善電子商務銷售，並有助於歐洲市場的擴張。

零售分析產業概述

零售分析市場競爭中等。該市場的一些主要參與者包括 IBM 公司、Oracle 公司、SAP SE、SAS Institute Inc. 和 Salesforce.com Inc.（Tableau Software Inc.）等。市場參與者創新提供策略解決方案，以擴大其市場影響力和客戶群。這使他們能夠獲得新合約並開拓新市場。市場的一些主要發展是：

  • 2023年 9月，Oracle 與 Uber 合作推出了 Collect and Receive，這是 Oracle Retail 平台上的新產品，連接零售商和消費者，以增強和豐富最後一英里的交付。在 Oracle Retail Data Store 和雲端平台技術的支援下，零售商可以透過預先整合的 API 連結到該公司的配送解決方案 Uber Direct。這個聯合解決方案使零售商能夠重新平衡庫存，同時為客戶提供更多選擇，包括當日和預定送貨選項、訂單取貨以及返回最近的零售或郵政地點。
  • 2023年 6月，Salesforce 與 Google 合作擴大了策略合作夥伴關係，幫助企業利用資料和人工智慧提供更個人化的客戶體驗，更了解客戶行為，並以更低的成本在行銷、銷售、服務和商務領域進行更有效的活動。兩項新的資料和人工智慧創新將帶來即時資料共享以及增強的預測和生成人工智慧功能。企業可以使用其資料和自訂人工智慧模型來更佳預測客戶需求，並降低跨平台同步資料的成本、風險和複雜性。

附加優惠：

  • Excel 格式的市場估算（ME）表
  • 3 個月的分析師支持

目錄

第1章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章 研究方法

第3章 執行摘要

第4章 市場洞察

  • 市場概況
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買家/消費者的議價能力
    • 新進入者的威脅
    • 競爭激烈程度
    • 替代產品的威脅
  • 產業價值鏈分析
  • COVID-19 對產業的影響

第5章 市場動態

  • 市場促進因素
    • AI 和 AR/VR 的資料量不斷增加以及技術進步
    • 增加電子零售額
  • 市場挑戰
    • 嚴重依賴傳統流程且缺乏意識和專業知識

第6章 市場細分

  • 依解決方案
    • 軟體
    • 服務
  • 依部署
    • 雲端
    • 本地部署
  • 依功能分類
    • 使用者管理
    • 店內營運（庫存管理和績效管理）
    • 供應鏈管理
    • 行銷和商品化（定價和收益管理）
    • 其他功能（運輸管理、訂單管理）
  • 按地理
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 俄羅斯
      • 歐洲其他地區
    • 亞太
      • 中國
      • 日本
      • 印度
      • 亞太其他地區
    • 拉丁美洲
    • 中東和非洲

第7章 競爭格局

  • 公司簡介
    • SAP SE
    • IBM Corporation
    • Alteryx Inc.
    • Salesforce.com Inc.（Tableau Software Inc.）
    • Oracle Corporation
    • Retail Next Inc.
    • SAS Institute Inc.
    • QlikTech International AB（Qlik）
    • Altair Engineering Inc.
    • Hitachi Vantara LLC

第8章 投資分析

第9章 市場的未來

簡介目錄
Product Code: 52446

The Retail Analytics Market size is estimated at USD 6.33 billion in 2024, and is expected to reach USD 7.79 billion by 2029, growing at a CAGR of 4.23% during the forecast period (2024-2029).

Retail Analytics - Market

Retail data analytics follows analyzing historical data to enable smarter decisions, improve operations, and increase sales. Both end-user data and back-end processes, such as supply chain and inventory management, have been primary sources for data analytics.

Key Highlights

  • Business Intelligence and Analytics systems have been integrated with back-end applications to understand better shoppers' behavior to facilitate consistent customer conversation. The omnichannel strategies being adopted led analytics to cater to multiple channels by consolidating disparate data sources and communicating with customers on their preferred channel. A further step towards intense personalization has strengthened the typical customer Lifetime Value and touchpoints. Therefore, current retailers have been more inclined to collect and analyze data like Location, Social sentiment, Clickstream, etc.
  • Digitalization to improve consumer experience and retail operations by obtaining consumer behavior data is propelling the retail analytics industry forward. The major advantage of employing retail analytics is that it provides particular and meaningful data on customer behavior. When business managers understand how to estimate financial returns, it makes managing any area of a firm much easier, and retail analytics gives information that businesses use to make choices. Retail analytics give merchants with a clear picture of the business, from analyzing social media comments to understanding a campaign's effects on store conversion rates.
  • According to an IBM survey, executives estimated that COVID-19 had expedited their digitalization by 67%; moreover, the outbreak drove them to prioritize 'Improve operational efficiency' as its top priority by 92%.
  • The advent of e-commerce has rendered traditional growth avenues across brick-and-mortar store expansions as outdated. Online platforms, localized assortments, and international market expansions have transformed the way merchandising analytics is approached. Significant competition from the online platforms led retailers to enter that space and offered a clearer picture of assortment, pricing, promotions, sourcing, replenishment, and in-store planning and execution.
  • The COVID-19 outbreak has triggered the global digitalization of retail enterprises. The pandemic forced a radical shift away from conventional retail and toward modern e-commerce strategies centered on powerful digital tools like Al and analytics. The growing popularity of online consumption habits has intensified the demand for digital innovation and disruption. Growing the use of Al to customize shopping experiences, increase customer retention, and improve sales efficiency would benefit corporate growth.

Retail Analytics Market Trends

In-store Operation Hold Major Share

  • In-store-operation-based analytics has become an indispensable part of a brick-and-mortar retailer's operating strategy. With benefits ranging from offering the right product to the right customer, further insight on loyal customers leads to the development of strategies to increase customer stickiness.
  • When retailers deliver customized experiences to their consumers using several technology such as evaluating customer preferences, recognizing customer location in-store, targeted promotions, and purchase habits, they accomplish digital transformation in shops. The shop monitoring technology analyzes these trends to offer valuable insights that assist merchants in increasing revenue, sales, and footfalls.
  • For instance, in June 2022, Amazon launched its new Store Analytics service. The e-commerce behemoth is now attempting to profit on its physical storefronts by providing marketers with data on what customers buy.
  • According to NewGenApps, merchants who choose to fully utilize the potential of big data analytics may improve their operating profits by 60%. Furthermore, the omnichannel retailer may monitor in-store buyer behaviour and deliver timely deals to customers to incentivize in-store purchases or later online sales, therefore keeping the transaction within the retailer's fold.
  • Quantzig, a data analytics and advisory firm, increased its in-store sales through micro-targeting and the profits by 12% for a fashion retailer based out of Germany. The retailer faced challenges focused on delivering insights to the right resource at the right time, lack of clearly articulated analytics strategy, and poor data quality.

Europe to Hold Significant Share

  • The European segment is strong, owing to the presence of large players like IBM Corporation and SAP SE, which are the leading providers of predictive analytics and advanced retail analytics software. Moreover, more than six million companies are active in this region and employ more than 33 million people. Europe is home to many of the large-scale retailers in the world, such as Tesco, Carrefour, Lidl, Metro AG, and Aldi.
  • One of the most popular online hobbies is internet shopping. It offers a large range of items to customers and a plethora of sales difficulties to e-commerce firms. Furthermore, the growing use of cloud services in the retail business will provide possibilities in the European retail analytics market in the near future.
  • For example, in October 2022, Avery Dennison announced a collaboration with SAP to address waste concerns in the retail industry by connecting their individual analytic product cloud, enabling supermarkets to monitor and optimize the expiry dates of their items. The firms have agreed to incorporate SAP Analytics Cloud into Avery Dennison's atma.io connected product cloud through an OEM arrangement. According to reports, the data is provided to the SAP Analytics tool via atma.io, as well as items labeled using Avery Dennison's digital identifying technology, such as radio frequency identification (RFID).
  • The use of sophisticated analytics to make internet shopping smarter and the combining of physical and online data can assist merchants in customizing their targeting, leading to incremental improvements in e-commerce sales and contributing to the expansion of the market's European sector.

Retail Analytics Industry Overview

The Retail Analytics Market is moderately competitive. Some of the major players operating in the market include IBM Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., and Salesforce.com Inc. (Tableau Software Inc.), among others. The players in the market are innovating in providing strategic solutions to increase their market presence and customer base. This enables them to secure new contracts and tap new markets. Some of the key developments in the market are:

  • In September 2023, Oracle, in partnership with Uber, announced Collect and Receive, a new offering on the Oracle Retail platform connecting retailers and consumers to enhance and enrich last-mile delivery. Supported by the Oracle Retail Data Store and cloud platform technologies, retailers can link to Uber Direct, the company's delivery solution, through pre-integrated APIs. This joint solution allows retailers to rebalance inventory while giving customers more choices, including same-day and scheduled delivery options, order pickup, and returns to the closest retail or postal location.
  • In June 2023, in partnership with Google, Salesforce expanded strategic partnerships to help businesses utilize data and AI to deliver more personalized customer experiences, better understand customer behavior, and run more effective campaigns at a lower cost across marketing, sales, service, and commerce. Two new data and AI innovations will bring real-time data sharing with enhanced predictive and generative AI capabilities. Businesses can use their data and custom AI models to better predict customer needs and reduce the cost, risk, and complexity of synchronizing data across platforms.

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 INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Intensity of Competitive Rivalry
    • 4.2.5 Threat of Substitute Products
  • 4.3 Industry Value Chain Analysis
  • 4.4 Impact Of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Volumes of Data and Technological Advancements in AI and AR/VR
    • 5.1.2 Increasing E-retail Sales
  • 5.2 Market Challenges
    • 5.2.1 Significant Reliance on Traditional Processes and Lack of Awareness and Expertise

6 MARKET SEGMENTATION

  • 6.1 By Solution
    • 6.1.1 Software
    • 6.1.2 Service
  • 6.2 By Deployment
    • 6.2.1 Cloud
    • 6.2.2 On-premise
  • 6.3 By Function
    • 6.3.1 Customer Management
    • 6.3.2 In-store Operation (Inventory Management and Performance Management)
    • 6.3.3 Supply Chain Management
    • 6.3.4 Marketing and Merchandizing (Pricing and Yield Management)
    • 6.3.5 Other Functions (Transportation Management, Order Management)
  • 6.4 By Geography
    • 6.4.1 North America
      • 6.4.1.1 United States
      • 6.4.1.2 Canada
    • 6.4.2 Europe
      • 6.4.2.1 Germany
      • 6.4.2.2 United Kingdom
      • 6.4.2.3 France
      • 6.4.2.4 Russia
      • 6.4.2.5 Rest of Europe
    • 6.4.3 Asia-Pacific
      • 6.4.3.1 China
      • 6.4.3.2 Japan
      • 6.4.3.3 India
      • 6.4.3.4 Rest of Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 SAP SE
    • 7.1.2 IBM Corporation
    • 7.1.3 Alteryx Inc.
    • 7.1.4 Salesforce.com Inc. (Tableau Software Inc.)
    • 7.1.5 Oracle Corporation
    • 7.1.6 Retail Next Inc.
    • 7.1.7 SAS Institute Inc.
    • 7.1.8 QlikTech International AB (Qlik)
    • 7.1.9 Altair Engineering Inc.
    • 7.1.10 Hitachi Vantara LLC

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET