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市场调查报告书
商品编码
2019854

零售分析市场规模、份额、成长率和全球行业分析:按类型、应用和地区分類的洞察,2026-2034 年预测

Retail Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034

出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 150 Pages | 商品交期: 请询问到货日

价格

零售分析市场的成长要素

全球零售分析市场预计在2025年达到102亿美元,2026年成长至119.6亿美元,并在2034年达到371.8亿美元,在预测期内(2025-2034年)复合年增长率将达到15.20%。北美地区将成为领先区域,预计在2025年将占据38.00%的市场。

零售分析利用巨量资料和资料探勘等先进技术,从海量资料集中撷取可执行的洞察。这使零售商能够根据数据做出有关客户行为、产品需求和库存管理的决策。提升销售业绩、识别客户偏好和优化产生收入预计将推动零售分析解决方案的普及。与人工智慧 (AI) 的整合可提供智慧洞察,从而改善客户体验和销售策略,进一步增强企业的竞争力。

例如,2023年3月,Adobe发布了Adobe Product Analytics,这是Adobe Experience Cloud中的一个工具,它透过整合行销和产品营运中的客户体验洞察,帮助供应商强化以客户为中心的策略。新冠疫情加速了实体零售向电子商务和行动应用的转型,从而增加了对客户级分析的需求。零售商越来越多地采用先进的解决方案来追踪库存、供应链和线上需求,这进一步推动了零售分析市场的发展。

零售分析市场趋势

零售分析市场的关键趋势是专注于产品库存管理和货架空间分配。零售商正在利用分析技术,确保能够将合适的产品、合适的数量、送到合适的顾客手中。库存管理工具透过减少库存积压和防止缺货,帮助零售商最大限度地降低成本。零售商可以根据即时分析快速调拨库存、重新订购产品或取消订单,从而提高利润率、防止产品过时并优化全通路营运。

2023年1月,安永推出了基于微软云端的「安永零售智慧」解决方案,可在全通路平台上提供个人化的购物体验,并增强决策能力。这种货架空间和库存管理趋势预计将持续推动市场成长。

成长要素

人工智慧 (AI)、机器学习 (ML) 和区块链等先进技术的整合正在推动市场扩张。人工智慧透过聊天机器人和虚拟助手,协助实现预测分析、个人化体验和即时客户参与。机器学习演算法则有助于分析大规模资料集,从而预测需求、推荐产品并优化库存。亚马逊、Netflix、谷歌和 Spotify 等公司正在利用机器学习技术提供个人化体验。

区块链技术能够提升供应链管理效率,提供安全的云端存储,并支援忠诚度计画。例如,2023年1月,微软与AiFi合作推出了「智慧门市分析」服务,该服务利用自主购物技术,深入分析门市布局、顾客行为和库存管理。

抑制因子

诸如《一般资料保护规则》(GDPR) 等严格的资料隐私法规为利用巨量资料分析的零售商带来了挑战。这些法规限制了对客户资料的访问​​,影响了个人化服务和盈利。合规的复杂性也可能延缓零售分析解决方案的采用。

市场区隔

按实作类型:

  • 预计到 2026 年,基于云端的分析将占据 51.00% 的市场份额,提供即时洞察、竞争优势和更高的客户满意度。
  • 本地部署分析能够提供更高的安全性,并吸引了那些担心云端网路攻击的零售商的注意。

按零售商店类型划分:

  • 预计到2026年,零售连锁店将占据主导地位,市占率达59.06%。这是因为沃尔玛和克罗格等全球巨头正依靠数据分析来优化库存、供应链和客户体验。
  • 大卖场和超级市场也利用分析技术进行库存和货架管理。

按功能:

  • 到 2026 年,客户关係管理 (CRM) 预计将占市场份额的 27.66%,反映出人们对了解消费者偏好的需求日益增长。
  • 虽然策略与规划和供应链管理部门预计将保持稳定成长,但商品行销、定价和员工管理方面的分析正在促进整体绩效的提升。

区域趋势

  • 北美:2025年为39.3亿美元,预计2026年将达45.4亿美元。电子商务和先进技术的应用是推动成长的主要动力。预计到2026年,美国市场规模将达到36.3亿美元。
  • 亚太地区:2025年为24.2亿美元,2026年将达29.1亿美元。网路购物、行动连线数位化是推动成长的主要因素。预计到2026年,中国、日本和印度的市场规模将分别达到8.1亿美元、8.6亿美元和3.7亿美元。
  • 欧洲:2025年为30亿美元,2026年将增加至35.2亿美元。主要贡献国包括德国、法国、义大利和西班牙。预计2026年,英国和德国将分别贡献9.2亿美元和7.2亿美元。
  • 中东与非洲:2025 年 4.7 亿美元 → 2026 年 5.5 亿美元。
  • 拉丁美洲:2025 年 3.8 亿美元 → 2026 年 4.4 亿美元。

主要企业

市场上的主要企业包括微软公司(美国)、HCL Technologies(印度)、IBM(美国)、 Oracle(美国)、SAP SE(德国)、QlikTech(美国)、Fractal Analytics(美国)、Wipro(印度)、Nielsen Consumer LLC(美国)和EY(英国)。

产业趋势

  • 2024 年 2 月:克罗格与 Intelligence Node 合作,实现人工智慧驱动的市场商品清单。
  • 2024年1月:微软发布GenAI工具,以实现个人化零售体验。
  • 2023 年 10 月:OmnicoMerchandise 推出了涵盖 30 个市场的零售媒体和分析平台。
  • 2023 年 5 月:NIQ推出了一个协作平台,整合了来自 Rite Aid 的资料。
  • 2023 年 4 月:Infosys 与沃尔玛商业科技公司合作,透过「Store Assist」增强全通路体验。

成长率:2026年至2034年成长率为15.20%。

目录

第一章:引言

第二章执行摘要

第三章 市场动态

  • 宏观经济和微观经济指标
  • 驱动因素、限制因素、机会和趋势

第四章 竞争情势

  • 主要企业采取的商业策略
  • 主要企业综合SWOT分析
  • 全球零售分析:主要企业市占率排名,2025 年

第五章:2021-2034年全球零售分析市场规模的估计与预测

  • 主要发现
  • 不同的发展
    • 现场
  • 依零售店类型
    • 大卖场和超级市场
    • 零售连锁店
  • 按功能
    • 客户管理
    • 供应链
    • 商品行销
    • 策略与规划
    • 门市营运
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 中东和非洲
    • 拉丁美洲

第六章:2021-2034年北美零售分析市场规模的估计与预测

  • 国家
    • 我们
    • 加拿大

第七章:2021-2034年欧洲零售分析市场规模的估计与预测

  • 国家
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲国家

第八章:亚太零售分析市场规模估算与预测(2021-2034年)

  • 国家
    • 中国
    • 日本
    • 印度
    • 东南亚
    • 其他亚太国家

第九章:2021-2034年中东与非洲零售分析市场规模的估算与预测

  • 国家
    • GCC
    • 埃及
    • 南非
    • 其他中东和非洲国家

第十章:2021-2034年拉丁美洲零售分析市场规模的估计与预测

  • 国家
    • 巴西
    • 阿根廷
    • 墨西哥
    • 其他拉丁美洲国家

第十一章:十大公司简介

  • Microsoft Corporation
  • HCL Technologies Limited
  • FLIR Systems, Inc.
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • QlikTech International AB
  • Fractal Analytics Inc.
  • Wipro Limited
  • Nielsen Consumer LLC
Product Code: FBI101273

Growth Factors of retail analytics Market

The global retail analytics market was valued at USD 10.20 billion in 2025 and is projected to grow to USD 11.96 billion in 2026, reaching USD 37.18 billion by 2034, registering a robust CAGR of 15.20% during the forecast period (2025-2034). North America emerged as the dominant region, accounting for 38.00% of the market in 2025.

Retail analytics leverages advanced technologies like big data and data mining to derive actionable insights from massive datasets. It enables retailers to make data-driven decisions regarding customer behavior, product demand, and inventory management. The need to enhance sales performance, identify customer preferences, and optimize revenue generation is expected to fuel the adoption of retail analytics solutions. Integration with Artificial Intelligence (AI) further empowers businesses by providing intelligent insights that improve customer experience and sales strategies.

For instance, in March 2023, Adobe launched Adobe Product Analytics, a tool in Adobe Experience Cloud to combine customer experience insights across marketing and product operations, helping vendors enhance customer-focused strategies. The COVID-19 pandemic accelerated the shift from physical retail to e-commerce and mobile apps, boosting the demand for customer-level analytics. Retailers increasingly implemented advanced solutions to track inventory, supply chains, and online demand, further driving the retail analytics market.

Retail Analytics Market Trends

A key trend in the retail analytics market is the focus on product inventory management and shelf space allocation. Retailers are leveraging analytics to ensure products are available at the right place, in the right quantity, and for the right customers. Inventory management tools help minimize costs by reducing surplus merchandise and preventing out-of-stock situations. Retailers can quickly transfer stock, reorder products, or cancel orders based on real-time analytics, which enhances profit margins, prevents obsolescence, and optimizes omnichannel operations.

In January 2023, EY launched EY Retail Intelligence, a solution powered by Microsoft Cloud, providing omnichannel, personalized shopping experiences and enhanced decision-making capabilities. This trend of managing shelf space and inventory is expected to continue driving market growth.

Growth Factors

The integration of advanced technologies such as AI, machine learning (ML), and blockchain is propelling market expansion. AI facilitates predictive analytics, personalized experiences, and real-time customer engagement through chatbots and virtual assistants. ML algorithms help analyze large datasets to forecast demand, recommend products, and optimize inventory. Companies like Amazon, Netflix, Google, and Spotify utilize ML to deliver personalized experiences.

Blockchain technology enhances supply chain management, provides secure cloud storage, and enables loyalty programs. For example, in January 2023, Microsoft partnered with AiFi to launch Smart Store Analytics, leveraging autonomous shopping technology to generate insights on store layouts, customer behavior, and inventory management.

Restraining Factors

Stringent data privacy regulations, such as the General Data Protection Regulation (GDPR), pose challenges for retailers using big data analytics. These regulations limit access to customer data, affecting personalized services and profitability. Compliance complexities may slow the adoption of retail analytics solutions.

Market Segmentation

By Deployment:

  • Cloud-based analytics is projected to hold 51.00% market share in 2026, offering real-time insights, competitive advantage, and improved customer satisfaction.
  • On-premise analytics provides enhanced security, attracting retailers concerned about cloud cyberattacks.

By Retail Store Type:

  • Retail chains dominate with 59.06% market share in 2026, as global giants like Walmart and Kroger rely on analytics for inventory, supply chain, and customer experience optimization.
  • Hypermarkets and supermarkets are also adopting analytics for inventory and shelf management.

By Function:

  • Customer management leads with 27.66% market share in 2026, reflecting growing demand for understanding consumer preferences.
  • Strategy & planning and supply chain management segments are expected to grow steadily, while merchandising, pricing, and staff management analytics contribute to overall performance improvements.

Regional Insights

  • North America: USD 3.93 billion in 2025 -> USD 4.54 billion in 2026. Adoption of e-commerce and advanced technologies drives growth. U.S. market projected at USD 3.63 billion in 2026.
  • Asia Pacific: USD 2.42 billion in 2025 -> USD 2.91 billion in 2026. Growth fueled by online shopping, mobile connectivity, and digitalization. China, Japan, India projected at USD 0.81B, 0.86B, and 0.37B respectively in 2026.
  • Europe: USD 3.00 billion in 2025 -> USD 3.52 billion in 2026. Key contributors include Germany, France, Italy, Spain. UK and Germany projected at USD 0.92B and 0.72B respectively in 2026.
  • Middle East & Africa: USD 0.47 billion in 2025 -> USD 0.55 billion in 2026.
  • Latin America: USD 0.38 billion in 2025 -> USD 0.44 billion in 2026.

Key Companies

Major players in the market include Microsoft Corporation (U.S.), HCL Technologies (India), IBM (U.S.), Oracle (U.S.), SAP SE (Germany), QlikTech (U.S.), Fractal Analytics (U.S.), Wipro (India), Nielsen Consumer LLC (U.S.), and EY (U.K.).

Industry Developments

  • February 2024: Kroger collaborated with Intelligence Node for AI-powered marketplace listings.
  • January 2024: Microsoft launched GenAI tools for personalized retail experiences.
  • October 2023: Omnicommerce introduced a retail media and analytics platform across 30 marketplaces.
  • May 2023: NIQ launched a connected collaboration platform integrating Rite Aid data.
  • April 2023: Infosys partnered with Walmart Commerce Technologies for Store Assist, improving omnichannel experiences.

Conclusion

The retail analytics market is poised for significant growth from USD 10.20 billion in 2025 to USD 37.18 billion by 2034, driven by AI, ML, blockchain adoption, and the rising demand for inventory management, customer insights, and omnichannel retail experiences. While data privacy regulations may restrain growth, innovations in cloud-based analytics, retail chain optimization, and customer management solutions will continue to fuel expansion globally.

Growth Rate Growth Rate of 15.20% from 2026 to 2034

Segmentation By Deployment

  • On-Premise
  • Cloud

By Retail Store Type

  • Hypermarkets and Supermarkets
  • Retail Chains

By Function

  • Customer Management
  • Supply Chain
  • Merchandising
  • Strategy and Planning
  • In-Store Operations

By Region

  • North America (By Deployment, By Retail Store Type, By Function, and By Country)
    • U.S. (By Function)
    • Canada (By Function)
  • Europe (By Deployment, By Retail Store Type, By Function, and By Country)
    • U.K. (By Function)
    • Germany (By Function)
    • Italy (By Function)
    • France (By Function)
    • Spain (By Function)
    • Rest of Europe
  • Asia Pacific (By Deployment, By Retail Store Type, By Function, and By Country)
    • China (By Function)
    • Japan (By Function)
    • India (By Function)
    • Southeast Asia (By Function)
    • Rest of Asia Pacific
  • Middle East & Africa (By Deployment, By Retail Store Type, By Function, and By Country)
    • GCC (By Function)
    • Egypt (By Function)
    • South Africa (By Function)
    • Rest of the Middle East & Africa
  • Latin America (By Deployment, By Retail Store Type, By Function, and By Country)
    • Brazil (By Function)
    • Argentina (By Function)
    • Mexico (By Function)
    • Rest of Latin America

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global Retail Analytics Key Players Market Share/Ranking, 2025

5. Global Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 5.1. Key Findings
  • 5.2. By Deployment (USD)
    • 5.2.1. On-premise
    • 5.2.2. Cloud
  • 5.3. By Retail Store Type (USD)
    • 5.3.1. Hypermarkets and Supermarkets
    • 5.3.2. Retail Chains
  • 5.4. By Function (USD)
    • 5.4.1. Customer Management
    • 5.4.2. Supply Chain
    • 5.4.3. Merchandising
    • 5.4.4. Strategy and Planning
    • 5.4.5. In-store Operations
  • 5.5. By Region (USD)
    • 5.5.1. North America
    • 5.5.2. Europe
    • 5.5.3. Asia Pacific
    • 5.5.4. Middle East and Africa
    • 5.5.5. Latin America

6. North America Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 6.1. Key Findings
  • 6.2. By Deployment (USD)
    • 6.2.1. On-premise
    • 6.2.2. Cloud
  • 6.3. By Retail Store Type (USD)
    • 6.3.1. Hypermarkets and Supermarkets
    • 6.3.2. Retail Chains
  • 6.4. By Function (USD)
    • 6.4.1. Customer Management
    • 6.4.2. Supply Chain
    • 6.4.3. Merchandising
    • 6.4.4. Strategy and Planning
    • 6.4.5. In-store Operations
  • 6.5. By Country (USD)
    • 6.5.1. United States
      • 6.5.1.1. Function
    • 6.5.2. Canada
      • 6.5.2.1. Function

7. Europe Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 7.1. Key Findings
  • 7.2. By Deployment (USD)
    • 7.2.1. On-premise
    • 7.2.2. Cloud
  • 7.3. By Retail Store Type (USD)
    • 7.3.1. Hypermarkets and Supermarkets
    • 7.3.2. Retail Chains
  • 7.4. By Function (USD)
    • 7.4.1. Customer Management
    • 7.4.2. Supply Chain
    • 7.4.3. Merchandising
    • 7.4.4. Strategy and Planning
    • 7.4.5. In-store Operations
  • 7.5. By Country (USD)
    • 7.5.1. United Kingdom
      • 7.5.1.1. Function
    • 7.5.2. Germany
      • 7.5.2.1. Function
    • 7.5.3. France
      • 7.5.3.1. Function
    • 7.5.4. Italy
      • 7.5.4.1. Function
    • 7.5.5. Spain
      • 7.5.5.1. Function
    • 7.5.6. Rest of Europe

8. Asia Pacific Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 8.1. Key Findings
  • 8.2. By Deployment (USD)
    • 8.2.1. On-premise
    • 8.2.2. Cloud
  • 8.3. By Retail Store Type (USD)
    • 8.3.1. Hypermarkets and Supermarkets
    • 8.3.2. Retail Chains
  • 8.4. By Function (USD)
    • 8.4.1. Customer Management
    • 8.4.2. Supply Chain
    • 8.4.3. Merchandising
    • 8.4.4. Strategy and Planning
    • 8.4.5. In-store Operations
  • 8.5. By Country (USD)
    • 8.5.1. China
      • 8.5.1.1. Function
    • 8.5.2. Japan
      • 8.5.2.1. Function
    • 8.5.3. India
      • 8.5.3.1. Function
    • 8.5.4. Southeast Asia
      • 8.5.4.1. Function
    • 8.5.5. Rest of Asia Pacific

9. Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 9.1. Key Findings
  • 9.2. By Deployment (USD)
    • 9.2.1. On-premise
    • 9.2.2. Cloud
  • 9.3. By Retail Store Type (USD)
    • 9.3.1. Hypermarkets and Supermarkets
    • 9.3.2. Retail Chains
  • 9.4. By Function (USD)
    • 9.4.1. Customer Management
    • 9.4.2. Supply Chain
    • 9.4.3. Merchandising
    • 9.4.4. Strategy and Planning
    • 9.4.5. In-store Operations
  • 9.5. By Country (USD)
    • 9.5.1. GCC
      • 9.5.1.1. Function
    • 9.5.2. Egypt
      • 9.5.2.1. Function
    • 9.5.3. South Africa
      • 9.5.3.1. Function
    • 9.5.4. Rest of Middle East & Africa

10. Latin America Retail Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 10.1. Key Findings
  • 10.2. By Deployment (USD)
    • 10.2.1. On-premise
    • 10.2.2. Cloud
  • 10.3. By Retail Store Type (USD)
    • 10.3.1. Hypermarkets and Supermarkets
    • 10.3.2. Retail Chains
  • 10.4. By Function (USD)
    • 10.4.1. Customer Management
    • 10.4.2. Supply Chain
    • 10.4.3. Merchandising
    • 10.4.4. Strategy and Planning
    • 10.4.5. In-store Operations
  • 10.5. By Country (USD)
    • 10.5.1. Brazil
      • 10.5.1.1. Function
    • 10.5.2. Argentina
      • 10.5.2.1. Function
    • 10.5.3. Mexico
      • 10.5.3.1. Function
    • 10.5.4. Rest of Latin America

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. Microsoft Corporation
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. HCL Technologies Limited
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. FLIR Systems, Inc.
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. IBM Corporation
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Oracle Corporation
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. SAP SE
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. QlikTech International A.B.
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. Fractal Analytics Inc.
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Wipro Limited
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Nielsen Consumer LLC
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments

List of Tables

  • Table 1: Global Retail Analytics Market Size Estimates and Forecasts, 2021 - 2034
  • Table 2: Global Retail Analytics Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 3: Global Retail Analytics Market Size Estimates and Forecasts, By Retail Store Type, 2021 - 2034
  • Table 4: Global Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 5: Global Retail Analytics Market Size Estimates and Forecasts, By Region, 2021 - 2034
  • Table 6: North America Retail Analytics Market Size Estimates and Forecasts, 2021 - 2034
  • Table 7: North America Retail Analytics Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 8: North America Retail Analytics Market Size Estimates and Forecasts, By Retail Store Type, 2021 - 2034
  • Table 9: North America Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 10: North America Retail Analytics Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 11: U.S. Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 12: Canada Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 13: South America Retail Analytics Market Size Estimates and Forecasts, 2021 - 2034
  • Table 14: South America Retail Analytics Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 15: South America Retail Analytics Market Size Estimates and Forecasts, By Retail Store Type, 2021 - 2034
  • Table 16: South America Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 17: South America Retail Analytics Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 18: Brazil Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 19: Argentina Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 20: Mexico Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 21: Europe Retail Analytics Market Size Estimates and Forecasts, 2021 - 2034
  • Table 22: Europe Retail Analytics Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 23: Europe Retail Analytics Market Size Estimates and Forecasts, By Retail Store Type, 2021 - 2034
  • Table 24: Europe Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 25: Europe Retail Analytics Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 26: U.K. Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 27: Germany Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 28: France Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 29: Italy Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 30: Spain Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 31: Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, 2021 - 2034
  • Table 32: Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 33: Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, By Retail Store Type, 2021 - 2034
  • Table 34: Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 35: Middle East & Africa Retail Analytics Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 36: GCC Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 37: Egypt Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 38: South Africa Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 39: Asia Pacific Retail Analytics Market Size Estimates and Forecasts, 2021 - 2034
  • Table 40: Asia Pacific Retail Analytics Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 41: Asia Pacific Retail Analytics Market Size Estimates and Forecasts, By Retail Store Type, 2021 - 2034
  • Table 42: Asia Pacific Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 43: Asia Pacific Retail Analytics Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 44: China Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 45: Japan Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 46: India Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034
  • Table 47: Southeast Asia Retail Analytics Market Size Estimates and Forecasts, By Function, 2021 - 2034

List of Figures

  • Figure 1: Global Retail Analytics Market Revenue Share (%), 2025 and 2034
  • Figure 2: Global Retail Analytics Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 3: Global Retail Analytics Market Revenue Share (%), By Retail Store Type, 2025 and 2034
  • Figure 4: Global Retail Analytics Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 5: Global Retail Analytics Market Revenue Share (%), By Region, 2025 and 2034
  • Figure 6: North America Retail Analytics Market Revenue Share (%), 2025 and 2034
  • Figure 7: North America Retail Analytics Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 8: North America Retail Analytics Market Revenue Share (%), By Retail Store Type, 2025 and 2034
  • Figure 9: North America Retail Analytics Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 10: North America Retail Analytics Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 11: South America Retail Analytics Market Revenue Share (%), 2025 and 2034
  • Figure 12: South America Retail Analytics Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 13: South America Retail Analytics Market Revenue Share (%), By Retail Store Type, 2025 and 2034
  • Figure 14: South America Retail Analytics Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 15: South America Retail Analytics Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 16: Europe Retail Analytics Market Revenue Share (%), 2025 and 2034
  • Figure 17: Europe Retail Analytics Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 18: Europe Retail Analytics Market Revenue Share (%), By Retail Store Type, 2025 and 2034
  • Figure 19: Europe Retail Analytics Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 20: Europe Retail Analytics Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 21: Middle East & Africa Retail Analytics Market Revenue Share (%), 2025 and 2034
  • Figure 22: Middle East & Africa Retail Analytics Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 23: Middle East & Africa Retail Analytics Market Revenue Share (%), By Retail Store Type, 2025 and 2034
  • Figure 24: Middle East & Africa Retail Analytics Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 25: Middle East & Africa Retail Analytics Market Revenue Share (%), By Technology, 2025 and 2034
  • Figure 26: Asia Pacific Retail Analytics Market Revenue Share (%), 2025 and 2034
  • Figure 27: Asia Pacific Retail Analytics Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 28: Asia Pacific Retail Analytics Market Revenue Share (%), By Retail Store Type, 2025 and 2034
  • Figure 29: Asia Pacific Retail Analytics Market Revenue Share (%), By Function, 2025 and 2034
  • Figure 30: Asia Pacific Retail Analytics Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 31: Global Retail Analytics Key Players Market Share, 2025