零售分析市場 - 2023-2028 年預測
市場調查報告書
商品編碼
1279569

零售分析市場 - 2023-2028 年預測

Retail Analytics Market - Forecasts from 2023 to 2028

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

零售分析市場預計將從 2021 年的 83.64 億美元增至 2028 年的 328.08 億美元,複合年增長率為 21.56%。 零售分析是指用於分析零售行業數據的技術和工具。 它涉及收集、組織和分析來自各種來源的數據,例如銷售交易、庫存水平、客戶行為和社交媒體互動。 此分析的見解可幫助零售商做出明智的決策並優化運營以獲得更好的結果。 實時運營可見性是零售分析的一個關鍵優勢,它使零售商能夠快速識別可能影響其業務的趨勢、模式和異常情況。 借助這些資訊,零售商可以做出決策來提高客戶滿意度、降低成本並增加利潤。

此外,零售分析還可用於改善客戶體驗。 零售商可以分析客戶數據以了解客戶的偏好、行為和購買習慣。 這些信息使我們能夠個性化我們的營銷活動、改進我們的產品並增強您的購物體驗。 通過提供個性化且令人滿意的體驗,零售商可以與客戶建立更牢固的關係,從而提高銷售額和忠誠度。

零售分析市場是由全渠道分析需求的增長和零售額的增長推動的。

對全渠道分析的需求不斷增長 - 全渠道零售的興起正在推動對零售分析的需求激增,零售分析可以深入了解各種渠道的客戶行為。 這包括線上和線下銷售、社交媒體、移動應用程序等。 因此,隨著越來越多地採用全渠道分析以更好地了解客戶行為和偏好,市場預計將經歷顯著增長。

零售額增長

零售額的激增是零售分析市場的主要增長動力。 不斷增長的零售額推動了對先進工具和技術的需求,這些工具和技術可幫助零售商優化運營並提高業務績效。 零售商可以利用零售分析功能來審查銷售數據、庫存水平、客戶行為和其他相關指標,以獲得關鍵業務洞察並做出明智的決策。美國人口普查局 2021 年年度零售貿易調查 (ARTS) 估計強調國內零售額激增 17.1%。 銷售額從2020年的55,720億美元增至2021年的65,226億美元。 銷量的增加給零售商帶來了挑戰,使其越來越難以獲得有價值的見解。 採用零售分析將使零售商能夠有效地分析數據、發現趨勢和模式,並做出快速、數據驅動的決策。

從部署類型來看,零售分析市場預計雲細分將出現增長。

採用雲端部署的零售分析市場預計在預測期內將顯著增長。 雲部署具有可擴展性、靈活性和成本效益等多種優勢,推動了雲零售分析的採用。 由於對實時洞察的需求不斷增長、智能手機和社交媒體的使用不斷增加以及零售商越來越多地採用基於雲的解決方案,預計該行業將出現顯著增長。

北美在全球零售分析市場中佔有很大份額。

零售分析市場分為北美、南美、歐洲、中東和非洲以及亞太地區。 由於該地區擁有許多零售商且互聯網普及率較高,因此北美是零售分析軟件的重要市場。 此外,該地區是尖端技術的早期採用者,這使其成為對零售分析解決方案提供商極具吸引力的市場。 美國擁有巨大的市場份額,是該地區最重要的零售分析市場之一。 此外,零售商越來越注重通過個性化營銷和客戶服務改善客戶體驗,推動了該地區的市場增長。 零售商使用零售分析來獲得對客戶行為和偏好的關鍵洞察,以幫助定制營銷活動並增強客戶服務。

內容

第 1 章簡介

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第 2 章研究方法

  • 調查數據
  • 調查設計
  • 驗證

第 3 章執行摘要

  • 調查要點

第 4 章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 行業價值鏈分析

第 5 章零售分析市場:按類型

  • 簡介
  • 軟件
  • 服務

第 6 章零售分析市場:按部署劃分

  • 簡介
  • 本地

第 7 章零售分析市場:按最終用戶劃分

  • 簡介
  • 推銷
  • 供應鏈
  • 戰略和規劃
  • 店鋪運營
  • 營銷

第 8 章零售分析市場:按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印度尼西亞
    • 台灣
    • 其他

第 9 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議與合作
  • 供應商競爭力矩陣

第 10 章公司簡介

  • SAP SE
  • Salesforce
  • Oracle
  • Microsoft Corporation
  • HCL Technologies Limited
  • IBM
  • Qlik
  • Cloud Software Group, Inc.
  • Sisense Inc.
  • Wipro
  • Zoho Corporation
  • ALTERYX
簡介目錄
Product Code: KSI061615238

The retail analytics market is projected to grow at a CAGR of 21.56% to reach US$32.808 billion in 2028 from US$8.364 billion in 2021. Retail analytics refers to techniques and tools used to analyze data within the retail industry. This involves collecting, organizing, and analyzing data from various sources, such as sales transactions, inventory levels, customer behavior, and social media interactions. The insights gained from this analysis can assist retailers in making informed decisions and optimizing their operations for better outcomes. Real-time visibility into operations is a key benefit of retail analytics, allowing retailers to quickly identify trends, patterns, and anomalies that may impact their business. This information will enable retailers to make informed decisions that enhance customer satisfaction, reduce costs, and increase profits.

In addition, retail analytics can be used to improve the customer experience. Retailers can analyze customer data to understand their preferences, behaviors, and purchasing habits. This information can personalize marketing campaigns, refine product offerings, and enhance the shopping experience. By providing customers with tailored and satisfying experiences, retailers can build stronger relationships with their customers, leading to increased sales and loyalty.

The retail analytics market is driven by growing demand for omnichannel analytics and rising retail sales.

Growing demand for omnichannel analytics- The rise of omnichannel retailing has led to a surge in demand for retail analytics that can provide insights into customer behavior across various channels. This includes online and offline sales, social media, mobile apps, and more. As a result, the market is expected to witness significant growth due to the increasing adoption of omnichannel analytics to better understand customer behavior and preferences.

Rising retail sales

The burgeoning retail sales segment is a significant growth driver in the retail analytics market. The upswing in retail sales has necessitated the demand for sophisticated tools and techniques enabling retailers to optimize their operations and enhance their performance. Retailers can leverage the capabilities of retail analytics to scrutinize sales data, inventory levels, customer behavior, and other pertinent metrics to obtain crucial insights into their business and make well-informed decisions. Estimates from the 2021 Annual Retail Trade Survey (ARTS) by the US Census Bureau highlight a surge of 17.1% in retail sales in the country. The sales increased from $5,572.0 billion in 2020 to $6,522.6 billion in 2021. This increase in sales volume challenges retailers, making it increasingly difficult to derive valuable insights. In such a scenario, adopting retail analytics can empower retailers to analyze data effectively, discern trends and patterns, and make quick and data-driven decisions.

Based on deployment, the retail analytics market is expected to witness positive growth in the cloud segment.

The retail analytics market through cloud deployment is expected to grow significantly during the projected period. Cloud deployment offers various advantages, such as scalability, flexibility, and cost-effectiveness, which drive the adoption of retail analytics on the cloud. The segment is expected to witness significant growth due to the increasing demand for real-time insights, the growing use of smartphones and social media, and retailers' increasing adoption of cloud-based solutions.

North America accounted for a significant share of the global retail analytics market.

The retail analytics market is segmented into North America, South America, Europe, Middle East and Africa, and Asia Pacific regions. North America is a significant market for retail analytics software, owing to numerous established retail companies and high internet penetration rates in the region. Furthermore, the region has been an early adopter of cutting-edge technologies, making it a highly attractive market for retail analytics solution providers. The United States, with its large market share, is one of the most important markets for retail analytics in the region. Moreover, the region's market growth can be attributed to retailers' increasing emphasis on improving the customer experience through personalized marketing and customer service. Retailers are utilizing retail analytics to gain critical insights into customer behavior and preferences, which can be used to tailor marketing campaigns and enhance customer service.

Market Segmentation

BY TYPE

  • Software
  • Services

BY DEPLOYMENT

  • Cloud
  • On-premise

BY END-USER

  • Merchandising
  • Supply Chain
  • Strategy & Planning
  • Store Operations
  • Marketing

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
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design
  • 2.3. Validation

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. RETAIL ANALYTICS MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. RETAIL ANALYTICS MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-premise

7. RETAIL ANALYTICS MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Merchandising
  • 7.3. Supply Chain
  • 7.4. Strategy & Planning
  • 7.5. Store Operations
  • 7.6. Marketing

8. RETAIL ANALYTICS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. SAP SE
  • 10.2. Salesforce
  • 10.3. Oracle
  • 10.4. Microsoft Corporation
  • 10.5. HCL Technologies Limited
  • 10.6. IBM
  • 10.7. Qlik
  • 10.8. Cloud Software Group, Inc.
  • 10.9. Sisense Inc.
  • 10.10. Wipro
  • 10.11. Zoho Corporation
  • 10.12. ALTERYX