查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1541164

2024-2032 年按功能、組件、部署模式、最終用戶和區域分類的零售分析市場報告

Retail Analytics Market Report by Function, Component, Deployment Mode, End User, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 135 Pages | 商品交期: 2-3個工作天內

價格

IMARC Group年，全球零售分析市場規模達到 88 億美元。由於組織數位化的不斷擴大、基於雲端的零售分析解決方案的使用不斷增加，以及希望節省時間和金錢的消費者不斷成長的線上購物習慣，零售分析市場正在經歷顯著成長。

零售分析市場分析：

主要市場促進因素：零售分析市場前景主要是由資料分析和機器學習在庫存控制、供應鏈最佳化和客戶行為分析中的加強利用所推動的。商品（零售商）借助這些技術，可以了解消費者的品味，適當地組織產品系列，改善營運流程，最終增加銷售額和利潤。

主要市場趨勢：零售分析產業的主要趨勢是基於雲端的分析解決方案成為主流產品。這些解決方案為零售商提供了可擴展性、靈活性和即時資料訪問，這是更好地生成和處理大資料的必要工具。借助基於雲端的分析，零售商可以協作並整合多個管道和位置的可用資訊，並朝一個方向採取行動，為客戶提供全通路購物的選擇。

地理趨勢：在先進技術基礎設施和主要零售企業的強大影響力的推動下，北美在市場採用方面處於領先地位。北美是一個技術創新水平較高的成熟零售市場，擁有適合零售商實施先進分析解決方案以支援其營運的環境。

競爭格局：零售分析產業的一些主要市場參與者包括 1010data Inc. (Advance Publications Inc.)、Adobe Inc.、Altair Engineering Inc.、Flir Systems Inc.、Fujitsu Limited、International Business Machines Corporation、Information Builders Inc. . 、Microsoft Corporation、Microstrategy Incorporated、Oracle Corporation、Qlik Technologies Inc. (Thoma Bravo LLC)、SAP SE、SAS Institute Inc.、Tableau Software LLC (Salesforce.com Inc.)、Tibco Software Inc. 等。

挑戰與機會：零售分析市場面臨資料隱私問題，這些問題涉及監管環境以及消費者對資料安全和隱私的注意事項。儘管如此，人工智慧的引入為個人化客戶體驗、有針對性的行銷計劃和提高營運效率帶來了許多可能性。零售商將能夠控制人工智慧驅動分析的實際力量，以預測客戶偏好、制定有效的價格策略以及市場的整體競爭力。

零售分析市場趨勢：

機器學習與人工智慧的融合

根據零售分析市場統計數據，人工智慧 (AI) 和機器學習 (ML) 正變得至關重要，因為它們極大地提高了營運效率和預測能力。如今，人工智慧的應用範圍從專業層面到個人層面。據 Forbes Advisor 稱，高達 97% 的企業主認為 ChatGPT 將使他們的企業受益。借助這項技術，商家現在可以比以往更準確地預測客戶行為、管理庫存水準並確定行銷活動目標。人工智慧驅動的分析系統可以對大型資料集進行分析，以發現模式和趨勢，從而實現即時決策，從而增加收入並滿足客戶需求。隨著時間的推移，機器學習演算法變得更好，根據新資料不斷增強其預測和建議。由於這一趨勢，零售商正在採用更以消費者為中心和響應迅速的營運方法，這正在改變從供應鏈管理到客戶參與策略的一切。

透過個人化增強客戶體驗

由於巨量資料和複雜分析工具的可用性，個人化是零售分析領域的主導趨勢。零售商現在可以透過檢查客戶的偏好、購買模式甚至社交媒體活動來為客戶提供高度客製化的購物體驗。透過根據每個人的口味客製化產品和促銷活動，這種數據驅動的策略使個人化行銷成為可能，從而顯著提高轉換率並培養客戶忠誠度，人們希望從他們購買的公司獲得更多的包容性和人性化待遇。例如，根據《富比士》雜誌發布的報告，84% 的消費者表示，要贏得業務，被視為一個人而不是數字非常重要。此外，個人化超越了行銷範圍，還包括調整實際的購買體驗，例如提供客製化的店內服務、動態定價和個人化推薦。透過匹配供應與需求，這種程度的客製化不僅提高了客戶的滿意度，還提高了零售營運效率。

採用全通路策略

零售分析的發展使全通路商務成為數位時代成功的關鍵策略。此策略透過整合多種購物管道（線上、行動和店內）創造無縫的消費者體驗。為了創建一個有凝聚力的客戶行為圖景，零售分析追蹤和分析所有平台上的消費者互動，這是在零售分析市場創造商機的關鍵組成部分。根據《富比士》報道，70% 的消費者表示，公司了解他們如何使用產品和服務對於贏得業務非常重要。這些資料對於改善客戶服務、簡化庫存流程和建立一致的品牌體驗至關重要。由於客戶要求在線上和店內購買體驗之間實現平穩過渡，因此使用分析來管理和改進這些互動正在成為零售策略的重要組成部分

零售分析市場細分：

IMARC Group提供了每個細分市場的主要趨勢分析，以及 2024-2032 年全球、區域和國家層面的預測。我們的報告根據功能、組件、部署模式、最終用戶對市場進行了分類。

按功能分類：

客戶管理

店內營運

策略與規劃

供應鏈管理

行銷和推銷

其他

客戶管理佔據大部分市場佔有率

該報告根據功能對市場進行了詳細的細分和分析。這包括客戶管理、店內營運、策略和規劃、供應鏈管理、行銷和推銷等。根據該報告，客戶管理佔據了最大的部分。

由於對個人化客戶體驗的需求不斷成長，以及在競爭激烈的零售環境中客戶忠誠度和保留率的策略意義，客戶管理在功能上引領零售分析市場。零售商可以透過使用分析來深入了解客戶行為、偏好和購買習慣，從而提供客製化行銷、改善客戶互動並擴展其服務範圍。例如，人口普查局的資料顯示了對零售銷售和電子商務趨勢的重要洞察，這對於零售分析中的客戶管理至關重要。此外，年度零售貿易調查還提供了各個零售部門的詳細年度銷售額、電子商務銷售額和庫存。這可以幫助企業了解消費者的購買模式並據此調整其客戶管理策略。這種數據驅動的策略有助於識別有價值的客戶，預測他們未來的購買模式並實施有效的忠誠度計劃。此外，透過促進即時決策和預測分析，人工智慧 (AI) 和機器學習等技術的結合進一步增強了這些技術的功效。

按組件分類：

軟體

服務

軟體佔產業最大佔有率

報告還提供了基於組成部分的詳細市場細分和分析。這包括軟體和服務。報告顯示，軟體佔據了最大的市場佔有率。

軟體在零售分析行業中佔據主導地位，因為它將大量資料轉化為可以付諸實踐的見解至關重要，這有助於零售商做出更好的決策。美國人口普查局報告稱，2021 年第一季度，電子商務銷售額幾乎佔總銷售額的 13%，凸顯了分析在最大化線上銷售策略方面的重要性。在當今數據驅動的市場環境中，零售分析軟體為客戶行為監控、庫存管理和銷售預測提供了廣泛的解決方案。正如美國勞工統計局指出的那樣，零售業擴大使用數位化營運，這需要先進的分析解決方案來管理當代零售營運的範圍和複雜性。

按部署模式分類：

本地

基於雲端

基於雲端的代表領先的細分市場

該報告根據部署模式對市場進行了詳細的細分和分析。這包括本地和基於雲端的。根據該報告，基於雲端的佔據了最大的部分。

由於其可擴展性、靈活性和經濟性（所有這些對於管理當代零售營運所創建的大量資料至關重要），基於雲端的解決方案對零售分析行業前景產生了積極影響。零售商能夠有效地應對購物高峰期，因為他們可以根據需要靈活地增加或減少資源。美國小型企業管理局的一項調查顯示，由於雲端運算可以降低IT管理費用並提高營運效率，中小型企業採用雲端運算的速度越來越快。這項變化對於零售業尤其重要，因為市場條件的變化需要即時資料處理和分析。雲端系統透過提供資料儲存和複雜的分析功能來實現這一點，而無需大量的初始資金支出。

按最終用戶分類：

中小企業

大型企業

大型企業市場主導地位明顯

報告還提供了基於最終用戶的詳細市場細分和分析。這包括中小企業和大型企業。報告顯示，大型企業佔據了最大的市場佔有率。

由於其龐大的營運範圍和複雜的資料環境，他們監督大型組織在最終用戶零售分析市場中佔據主導地位。這些公司擁有投資尖端零售分析解決方案的基礎設施和財務手段，這對於管理跨多個管道和地區產生的大量資料至關重要。大型企業可以透過整合和分析這些資料來了解大量有關市場趨勢、供應鏈效率和消費者行為的資訊。策略規劃、國際市場競爭力和營運最佳化都取決於這種程度的分析。大型企業還可以經常使用更先進的分析，例如人工智慧驅動的工具和預測模型，來刺激創新並增強消費者體驗。

按地區分類：

北美洲

美國

加拿大

亞太地區

中國

日本

印度

韓國

澳洲

印尼

其他

歐洲

德國

法國

英國

義大利

西班牙

俄羅斯

其他

拉丁美洲

巴西

墨西哥

其他

中東和非洲

北美市場領先，佔據最大的零售分析市場佔有率

該報告還對所有主要區域市場進行了全面分析，其中包括北美（美國和加拿大）；亞太地區（中國、日本、印度、韓國、澳洲、印尼等）；歐洲（德國、法國、英國、義大利、西班牙、俄羅斯等）；拉丁美洲（巴西、墨西哥等）；以及中東和非洲。根據該報告，北美是零售分析的最大市場。

北美因其先進的技術基礎設施、巨量資料解決方案的廣泛使用以及對人工智慧 (AI) 和機器學習的大量投資而在零售分析市場佔據主導地位。美國商務部報告稱，2019 年北美零售電子商務銷售額較 2020 年成長 32.4%，顯示該行業的快速擴張以及對高級分析的需求不斷成長。專注於零售分析解決方案以改善客戶體驗和營運效率的大型數位組織和新創公司將這個地區視為自己的家。美國經濟分析局表示，零售業的數位轉型推動了對理解消費者行為、管理庫存和改善供應鏈的分析的需求。這進一步促進了零售分析市場的成長。

競爭格局：

零售分析市場研究報告也對市場競爭格局進行了全面分析。也提供了所有主要公司的詳細資料。零售分析產業的一些主要市場參與者包括 1010data Inc. (Advance Publications Inc.)、Adobe Inc.、Altair Engineering Inc.、Flir Systems Inc.、Fujitsu Limited、International Business Machines Corporation、Information Builders Inc.、Microsoft Corporation、 Microstrategy Incorporated、Oracle Corporation、Qlik Technologies Inc. (Thoma Bravo LLC)、SAP SE、SAS Institute Inc.、Tableau Software LLC (Salesforce.com Inc.)、Tibco Software Inc. 等。

（請注意，這只是關鍵參與者的部分列表，報告中提供了完整列表。）

零售分析領域的一些領先公司，例如 Microsoft Corporation、Fujitsu Limited、Flir Systems Inc.、Altair Engineering Inc.、Adobe Inc. 和 1010data Inc.，正在不斷改進其產品，以增加零售分析市場價值。 1010data Inc. 是一家基於雲端的分析供應商，專注於零售營運最佳化。 Adobe Inc. 透過其先進的 Adob​​e Analytics 平台提供客製化的數位行銷解決方案。零售商可以在 Altair Engineering Inc. 的幫助下增強供應鏈和庫存管理，該公司將分析融入產品設計中。 Flir Systems Inc. 使用尖端的熱成像技術來深入了解客戶行為和安全。完整的零售解決方案，例如數據驅動的銷售點系統，由富士通有限公司提供。微軟公司正在利用尖端的人工智慧和基於雲端的技術來提高客戶參與度，從而推進購物體驗的個人化。總的來說，這些企業正在為複雜的、數據驅動的零售策略鋪路。例如，Adobe Experience Platform 提供了客戶旅程分析等新工具，零售商現在可以利用人工智慧來偵測不良體驗（或發現新機會）。此次更新將異常檢測功能擴展到了網站之外（主要在網站上使用），並允許品牌了解購物者在管道之間移動時出現問題的位置。

零售分析市場新聞：

2024 年 2 月：Kroger 與 Intelligence Node 合作，增強市場清單並為第三方供應商提供更清晰的產品指南。

2024 年 1 月：微軟宣布推出專為零售業設計的新 GenAI 工具，旨在個人化購物體驗並即時協助第一線員工。

本報告回答的關鍵問題

  • 2023 年全球零售分析市場規模有多大
  • 2024-2032 年全球零售分析市場的預期成長率是多少
  • 推動全球零售分析市場的關鍵因素是什麼
  • COVID-19 對全球零售分析市場有何影響
  • 基於功能的全球零售分析市場的細分是什麼
  • 基於組件的全球零售分析市場的細分是什麼
  • 基於部署模式的全球零售分析市場區隔是怎樣的
  • 基於最終用戶的全球零售分析市場的細分是什麼
  • 全球零售分析市場的關鍵區域有哪些
  • 10. 全球零售分析市場的主要參與者/公司有哪些？

本報告回答的關鍵問題

  • 2023 年全球零售分析市場規模有多大？ 2024-2032 年全球零售分析市場的預期成長率是多少？
  • 推動全球零售分析市場的關鍵因素是什麼？
  • COVID-19 對全球零售分析市場有何影響？
  • 根據功能，全球零售分析市場的細分是什麼？
  • 基於組件的全球零售分析市場的細分是什麼？
  • 全球零售分析市場以部署模式分類是怎樣的？
  • 基於最終用戶的全球零售分析市場的細分是什麼？
  • 全球零售分析市場的關鍵區域有哪些？
  • 誰是全球零售分析市場的主要參與者/公司？

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 數據來源
    • 主要來源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球零售分析市場

  • 市場概況
  • 市場表現
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按功能

  • 客戶管理
    • 市場趨勢
    • 市場預測
  • 店內營運
    • 市場趨勢
    • 市場預測
  • 策略與規劃
    • 市場趨勢
    • 市場預測
  • 供應鏈管理
    • 市場趨勢
    • 市場預測
  • 行銷和推銷
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 7 章：市場區隔：按組成部分

  • 軟體
    • 市場趨勢
    • 市場預測
  • 服務
    • 市場趨勢
    • 市場預測

第 8 章：市場區隔：依部署模式

  • 本地
    • 市場趨勢
    • 市場預測
  • 基於雲端
    • 市場趨勢
    • 市場預測

第 9 章：市場區隔：按最終用戶

  • 中小企業
    • 市場趨勢
    • 市場預測
  • 大型企業
    • 市場趨勢
    • 市場預測

第 10 章：市場區隔：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲
    • 市場趨勢
    • 市場細分：按國家/地區
    • 市場預測

第 11 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 12 章：價值鏈分析

第 13 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 14 章：價格分析

第15章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 1010data Inc. (Advance Publications Inc.)
    • Adobe Inc.
    • Altair Engineering Inc.
    • Flir Systems Inc.
    • Fujitsu Limited
    • International Business Machines Corporation
    • Information Builders Inc.
    • Microsoft Corporation
    • Microstrategy Incorporated
    • Oracle Corporation
    • Qlik Technologies Inc. (Thoma Bravo LLC)
    • SAP SE
    • SAS Institute Inc.
    • Tableau Software LLC (Salesforce.com Inc.)
    • Tibco Software Inc.
Product Code: SR112024A2372

The global retail analytics market size reached US$ 8.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 40.0 Billion by 2032, exhibiting a growth rate (CAGR) of 17.8% during 2024-2032. The retail analytics market is experiencing significant growth driven by the expanding digitization in organizations, rising use of cloud-based retail analytics solutions, and growing online shopping habits of consumers looking to save time and money.

Retail Analytics Market Analysis:

Major Market Drivers: The retail analytics market outlook is primarily driven by the enhanced utilization of data analytics and machine learning in stock inventory control, supply chain optimization, and customer behavior analysis. Merchandises (retailers), with the aid of these technologies, come to know the tastes of consumers, organize collections appropriately, improve their operational processes, and eventually increase their sales and profits.

Key Market Trends: The major trend in the retail analytics industry is the emergence of a cloud-based analytics solution as a mainstream offering. These solutions give retailers scalability, flexibility, and real-time data access, which are the necessary tools to have a better generation and processing of large data volumes. With the help of cloud-based analytics, retailers collaborate and integrate available information over several channels and positions and act in one direction to give customers the choice of omnichannel shopping.

Geographical Trends: North America leads in market adoption, driven by advanced technology infrastructure and the strong presence of major retail players. In North America, a mature retail market with a high level of technology innovation, there is an environment fit for retailers to implement advanced analytics solutions to support their operations.

Competitive Landscape: Some of the major market players in the retail analytics industry include 1010data Inc. (Advance Publications Inc.), Adobe Inc., Altair Engineering Inc., Flir Systems Inc., Fujitsu Limited, International Business Machines Corporation, Information Builders Inc., Microsoft Corporation, Microstrategy Incorporated, Oracle Corporation, Qlik Technologies Inc. (Thoma Bravo LLC), SAP SE, SAS Institute Inc., Tableau Software LLC (Salesforce.com Inc.), Tibco Software Inc., among many others.

Challenges and Opportunities: The retail analytics market faces data privacy issues that concern the regulatory environment and the consumers' cautions related to data security and privacy. Nonetheless, the introduction of AI opens a lot of possibilities for personalized customer experiences, targeted marketing initiatives, and increased efficiency in operations. The retailers will be able to control the practical power of AI-driven analytics for predicting customer preferences, creating efficient price strategies as well as the overall competitiveness in the market.

Retail Analytics Market Trends:

Integration of Machine Learning and Artificial Intelligence

As per the retail analytics market statistics, artificial intelligence (AI) and machine learning (ML) are becoming essential as they offer profound enhancements in the operations efficiencies and capability of prediction. AI is being used from professional to personal level these days. According to Forbes Advisor, a staggering 97% of business owners believe that ChatGPT will benefit their businesses. With the help of this technology, merchants can now more precisely than ever predict customer behavior, manage inventory levels, and target marketing campaigns. Large datasets can be analyzed by AI-driven analytics systems to find patterns and trends, enabling real-time decision-making that may boost revenue and satisfy customers. With time, machine learning algorithms get better, continuously enhancing their projections and suggestions based on fresh data. Retailers are adopting a more consumer-centric and responsive approach to operations due to this trend, which is changing everything from supply chain management to customer engagement tactics.

Enhanced Customer Experience through Personalization

Due to the availability of big data and sophisticated analytical tools, personalization is a dominant trend in the retail analytics sector. Retailers may now provide clients with extremely customized shopping experiences by examining their preferences, purchasing patterns, and even social media activity. By customizing products and promotions to everyone's tastes, personalized marketing is made possible by this data-driven strategy, which dramatically raises conversion rates and fosters client loyalty, people want more of inclusivity and human treatment from the companies they buy from. For instance, as per the report published by Forbes Magazine, 84% of consumers say being treated like a person, not a number is very important to winning their business. Furthermore, personalization goes beyond marketing to include adjusting the actual purchasing experience, such as offering customized in-store services, dynamic pricing, and personalized recommendations. By matching supply with demand, this degree of customisation not only raises customer pleasure but also boosts retail operations efficiency.

Adoption of Omnichannel Strategies

Retail analytics developments have made omnichannel commerce a crucial strategy for success in the digital age. This strategy creates a seamless consumer experience by integrating many shopping channels (online, mobile, and in-store). In order to create a cohesive picture of customer behaviour, retail analytics track and analyze consumer interactions across all platforms, which is a critical component to create business opportunities in the retail analytics market. According to Forbes, 70% of consumers say that a company understanding how they use products and services is very important to winning their business. This data is essential for improving customer service, streamlining the inventory process, and building a consistent brand experience. Using analytics to manage and improve these interactions is becoming an essential part of retail strategy as customers demand a smooth transition between online and in-store buying experience

Retail Analytics Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on function, component, deployment mode, end user.

Breakup by Function:

Customer Management

In-store Operation

Strategy and Planning

Supply Chain Management

Marketing and Merchandizing

Others

Customer management accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the function. This includes customer management, in-store operation, strategy and planning, supply chain management, marketing and merchandizing, and others. According to the report, customer management represented the largest segment.

Due to the growing demand for individualized customer experiences and the strategic significance of customer loyalty and retention in a cutthroat retail environment, customer management leads the retail analytics market by function. Retailers may deliver customized marketing, improve customer interactions, and expand their service offerings by using analytics to obtain deep insights into customer behaviors, preferences, and purchasing habits. For instance, the Census Bureau data shows significant insights into retail sales and e-commerce trends which are crucial for customer management in retail analytics. In addition, the Annual Retail Trade Survey provides detailed annual sales, e-commerce sales, and inventories across various retail sectors. This can help businesses understand consumer buying patterns and adapt their customer management strategies accordingly. This data-driven strategy aids in the identification of valuable clients, forecasting their future purchasing patterns and putting in place efficient loyalty schemes. Furthermore, by facilitating real-time decision-making and predictive analytics, the incorporation of technologies like artificial intelligence (AI) and machine learning further augments the efficacy of these techniques.

Breakup by Component:

Software

Services

Software holds the largest share of the industry

A detailed breakup and analysis of the market based on the component have also been provided in the report. This includes software and services. According to the report, software accounted for the largest market share.

Software dominates the retail analytics industry as it is crucial to turning massive volumes of data into insights that can be put into practice, which helps retailers make better decisions. The U.S. Census Bureau reports that in Q12021, e-commerce sales made up almost 13% of overall sales, highlighting the significance of analytics in maximizing online sales tactics. In today's data-driven market climate, retail analytics software offers extensive solutions for customer behavior monitoring, inventory management, and sales forecasting. The growing use of digital operations in retail, as noted by the Bureau of Labor Statistics, calls for advanced analytics solutions to manage the scope and intricacy of contemporary retail operations.

Breakup by Deployment Mode:

On-premises

Cloud-based

Cloud-based represents the leading market segment

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based. According to the report, cloud-based represented the largest segment.

Due to their scalability, flexibility, and affordability-all of which are critical for managing the enormous volumes of data created by contemporary retail operations-cloud-based solutions provide a positive impact on the retail analytics industry outlook. Retailers are able to efficiently handle peak shopping periods because they have the flexibility to scale resources up or down as needed. A U.S. Small Business Administration survey states that as cloud computing can lower IT overhead expenses and increase operational efficiency, small and medium-sized firms are adopting it at an increasing rate. This change is particularly important for the retail industry, where real-time data processing and analytics are required due to changing market conditions. Cloud systems make this possible by offering data storage and sophisticated analysis capabilities without requiring a substantial initial outlay of funds.

Breakup by End User:

Small and Medium Enterprises

Large Enterprises

Large enterprises exhibit a clear dominance in the market

A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes small and medium enterprises and large enterprises. According to the report, large enterprises accounted for the largest market share.

Due to their vast operational scope and the intricate data environments, they oversee, large organizations hold a dominant position in the end-user retail analytics market. These companies possess the infrastructure and financial means to invest in cutting-edge retail analytics solutions, which are essential for managing the enormous volumes of data produced across numerous channels and regions. Large businesses may learn a great deal about market trends, supply chain efficiency, and consumer behavior by integrating and analyzing this data. Strategic planning, competitiveness in international markets, and operational optimization all depend on this degree of analytics. Large businesses can also frequently use more advanced analytics, such as AI-driven tools and predictive modeling, to spur innovation and enhance consumer experiences.

Breakup By Region:

North America

United States

Canada

Asia Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America leads the market, accounting for the largest retail analytics market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represented the largest market for retail analytics.

North America dominates the retail analytics market due to its sophisticated technological infrastructure, there has been a widespread use of big data solutions, and large investments in artificial intelligence (AI) and machine learning. The U.S. Department of Commerce reports that North American retail e-commerce sales increased 32.4% in 2019 compared to 2020, indicating the sector's rapid expansion and the growing demand for advanced analytics. Large digital organizations and startups that specialize in retail analytics solutions to improve customer experiences and operational efficiency call this region home. According to the U.S. Bureau of Economic Analysis, the demand for analytics to comprehend consumer behavior, manage inventory, and improve supply chains is driven by the digital transformation in retail. This is further catalyzing the retail analytics market growth.

Competitive Landscape:

The retail analytics market research report has also provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the major market players in the retail analytics industry include 1010data Inc. (Advance Publications Inc.), Adobe Inc., Altair Engineering Inc., Flir Systems Inc., Fujitsu Limited, International Business Machines Corporation, Information Builders Inc., Microsoft Corporation, Microstrategy Incorporated, Oracle Corporation, Qlik Technologies Inc. (Thoma Bravo LLC), SAP SE, SAS Institute Inc., Tableau Software LLC (Salesforce.com Inc.), Tibco Software Inc, etc.

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Some of the leading companies in the retail analytics space, such as Microsoft Corporation, Fujitsu Limited, Flir Systems Inc., Altair Engineering Inc., Adobe Inc., and 1010data Inc., are constantly improving their products to increase the retail analytics market value. 1010data Inc. is a cloud-based analytics provider with a strong emphasis on retail operations optimization. Adobe Inc. provides customized digital marketing solutions through its advanced Adobe Analytics platform. Retailers can enhance supply chain and inventory management with the assistance of Altair Engineering Inc., which incorporates analytics into product design. Flir Systems Inc. uses cutting-edge thermal imaging technology to gain insights into customer behavior and security. Complete retail solutions, such as data-driven point-of-sale systems, are provided by Fujitsu Limited. Microsoft Corporation, is advancing the personalization of shopping experiences by leveraging cutting-edge AI and cloud-based technologies to improve customer engagement. Collectively, these businesses are paving the way for sophisticated, data-driven retail strategy. For instance, Adobe Experience Platform delivered new tools such as customer journey analytics with which retailers can now leverage AI to detect broken experiences (or to uncover new opportunities). This update takes anomaly detection beyond the website - where it has been predominantly used - and allows brands to see where issues arise as shoppers move between channels.

Retail Analytics Market News:

Feb 2024: Kroger partnered with Intelligence Node to enhance marketplace listings and provide clearer product guides for third-party vendors.

Jan 2024: Microsoft announced the launch of new GenAI tools specifically designed for the retail industry, aiming to personalize shopping experiences and assist frontline workers in real time.

Key Questions Answered in This Report

  • 1. What was the size of the global retail analytics market in 2023?
  • 2. What is the expected growth rate of the global retail analytics market during 2024-2032?
  • 3. What are the key factors driving the global retail analytics market?
  • 4. What has been the impact of COVID-19 on the global retail analytics market?
  • 5. What is the breakup of the global retail analytics market based on the function?
  • 6. What is the breakup of the global retail analytics market based on the component?
  • 7. What is the breakup of the global retail analytics market based on the deployment mode?
  • 8. What is the breakup of the global retail analytics market based on the end user?
  • 9. What are the key regions in the global retail analytics market?
  • 10. Who are the key players/companies in the global retail analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Retail Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Function

  • 6.1 Customer Management
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 In-store Operation
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Strategy and Planning
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Supply Chain Management
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast
  • 6.5 Marketing and Merchandizing
    • 6.5.1 Market Trends
    • 6.5.2 Market Forecast
  • 6.6 Others
    • 6.6.1 Market Trends
    • 6.6.2 Market Forecast

7 Market Breakup by Component

  • 7.1 Software
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Services
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Deployment Mode

  • 8.1 On-premises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cloud-based
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by End User

  • 9.1 Small and Medium Enterprises
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Large Enterprises
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 1010data Inc. (Advance Publications Inc.)
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
    • 15.3.2 Adobe Inc.
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 Altair Engineering Inc.
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
    • 15.3.4 Flir Systems Inc.
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
      • 15.3.4.3 Financials
      • 15.3.4.4 SWOT Analysis
    • 15.3.5 Fujitsu Limited
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 International Business Machines Corporation
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 Information Builders Inc.
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
    • 15.3.8 Microsoft Corporation
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 Microstrategy Incorporated
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 Oracle Corporation
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
      • 15.3.10.3 Financials
      • 15.3.10.4 SWOT Analysis
    • 15.3.11 Qlik Technologies Inc. (Thoma Bravo LLC)
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
    • 15.3.12 SAP SE
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 Financials
      • 15.3.12.4 SWOT Analysis
    • 15.3.13 SAS Institute Inc.
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
      • 15.3.13.3 SWOT Analysis
    • 15.3.14 Tableau Software LLC (Salesforce.com Inc.)
      • 15.3.14.1 Company Overview
      • 15.3.14.2 Product Portfolio
    • 15.3.15 Tibco Software Inc.
      • 15.3.15.1 Company Overview
      • 15.3.15.2 Product Portfolio
      • 15.3.15.3 SWOT Analysis

List of Figures

  • Figure 1: Global: Retail Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Retail Analytics Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Retail Analytics Market: Breakup by Function (in %), 2023
  • Figure 4: Global: Retail Analytics Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Retail Analytics Market: Breakup by Deployment Mode (in %), 2023
  • Figure 6: Global: Retail Analytics Market: Breakup by End User (in %), 2023
  • Figure 7: Global: Retail Analytics Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Retail Analytics Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 9: Global: Retail Analytics (Customer Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Retail Analytics (Customer Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Retail Analytics (In-store Operation) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Retail Analytics (In-store Operation) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Retail Analytics (Strategy and Planning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Retail Analytics (Strategy and Planning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Retail Analytics (Supply Chain Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Retail Analytics (Supply Chain Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Retail Analytics (Marketing and Merchandizing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Retail Analytics (Marketing and Merchandizing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Retail Analytics (Other Functions) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Retail Analytics (Other Functions) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Retail Analytics (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Retail Analytics (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Retail Analytics (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Retail Analytics (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Retail Analytics (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Retail Analytics (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Retail Analytics (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Retail Analytics (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Retail Analytics (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Retail Analytics (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Retail Analytics (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Retail Analytics (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: North America: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: North America: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: United States: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: United States: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Canada: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Canada: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Asia Pacific: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Asia Pacific: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: China: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: China: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Japan: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Japan: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: India: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: India: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: South Korea: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: South Korea: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: Australia: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: Australia: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Indonesia: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Indonesia: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Others: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Others: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Europe: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Europe: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Germany: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Germany: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: France: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: France: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: United Kingdom: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: United Kingdom: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Italy: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Italy: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Spain: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Spain: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Russia: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Russia: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Others: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Others: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Latin America: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Latin America: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Brazil: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Brazil: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: Mexico: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: Mexico: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Others: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Others: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Middle East and Africa: Retail Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Middle East and Africa: Retail Analytics Market Forecast: Breakup by Country (in %), 2023
  • Figure 81: Middle East and Africa: Retail Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Global: Retail Analytics Industry: SWOT Analysis
  • Figure 83: Global: Retail Analytics Industry: Value Chain Analysis
  • Figure 84: Global: Retail Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Retail Analytics Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Retail Analytics Market Forecast: Breakup by Function (in Million US$), 2024-2032
  • Table 3: Global: Retail Analytics Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 4: Global: Retail Analytics Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 5: Global: Retail Analytics Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 6: Global: Retail Analytics Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Retail Analytics Market Structure
  • Table 8: Global: Retail Analytics Market: Key Players