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市场调查报告书
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1643031

店内分析 -市场占有率分析、产业趋势与统计、成长预测（2025-2030 年）

In-store Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

店内分析市场规模预计在 2025 年为 52.9 亿美元，预计到 2030 年将达到 156.6 亿美元，预测期内（2025-2030 年）的复合年增长率为 24.23%。

店内分析-市场-IMG1

电子商务参与企业日益激烈的竞争以及改善购物和客户服务的需求，大大促进了全球店内分析市场的成长。

关键亮点

  • 店内分析是指分析顾客行为并从中得出结论。此分析重点在于顾客造访商店时观察到的一系列消费行为。它被店主广泛使用它来促进销售并提高客户满意度。
  • 零售品牌正专注于整合云端运算。云端运算提供灵活、强大的云端基础的彙报解决方案，为您提供整体情况，帮助您在提高销售额的同时做出更快、更明智的决策。云端运算日益增强的优势是推动店内分析市场发展的强劲趋势。据NewGenApps称，充分利用云端运算潜力进行巨量资料分析的零售商可以将其营业利润率提高约60%。全通路零售商还可以监控店内顾客的行为，并及时向顾客提供优惠，以确保他们在零售商的承受范围内购买商品。
  • 商店环境中的顾客体验是吸引回头客和忠诚顾客的主要品牌差异化因素之一。它还包括从商店的外观到员工如何对待顾客的一切。更好的客户服务、更令人满意的购物体验以及增加销售的几种廉价方法的需求可能会推动对店内分析的需求。
  • 然而，对更多人力资源技能的需求对市场成长提出了挑战。市场面临一些问题，这些问题源于需要更多熟练的人力，他们需要更有效地从零售资料中获得必要和关键的见解。
  • 此外，COVID-19 疫情正在推动分析服务供应商的业务成长。在这次疫情期间，实体业务陷入停顿，云端运算对于业务连续性的重要性不言而喻。积极抵制数位化的零售组织可能会面临疫情的严酷现实，而云端供应商则处于有利地位。 Instore Analytics 也将平台列入供应链分销链，这是疫情期间市场需求的关键。随着新市场参与企业进入市场并扩展到新的地域，预计未来几年这一趋势将继续增长。

店内分析市场趋势

客户管理领域市场成长显着

  • 根据美国人口普查局的数据，今年第三季全球零售额为 7,7457.4 亿美元，高于去年同期的 6,5948.1 亿美元。虽然销售额正在成长，但人口结构快速变化和经济復苏不确定等其他因素往往给零售商带来挑战。此外，零售商试图了解哪些产品、服务和优惠对顾客更具吸引力，这大大提高了店内分析平台的重要性，并进一步增加了零售商对消费者参与度分析的需求。
  • 最近，云端客服中心供应商 Five9, Inc. 宣布了新的功能，帮助企业透过语音和数位管道提供更具凝聚力和吸引力的客户体验。不一致和支离破碎的客户体验可能会导致不良行为，甚至更糟的是，客户流失。 Five9 透过提供灵活、实用的工具来部署和管理 AI 系统，并持续整合即时客户分析，帮助公司克服这些挑战。
  • 基于人工智慧的视讯分析还可以提高效率并为企业提供与安全无关的见解。在零售市场，监视摄影机加上分析技术可以帮助店主发现偷窃者并提醒保全人员即时介入。店内分析还可以测量热点、人流、停留时间和商品摆放位置。
  • 此外，了解商店最繁忙的时间可以帮助您更好地调整人员配备水平与客户需求，降低成本，提高转换率并改善客户在商店的体验。此类用于客户分析和管理的店内分析的多种应用预计将进一步推动全球店内分析市场的成长。

北美占据主要市场占有率

  • 该地区拥有最多的技术创新者和零售商，由于越来越多地采用店内分析来改善顾客购物体验，预计将占据主要的市场占有率。云端运算和人工智慧等技术的快速应用正在满足该地区店内分析的需求。零售业务的扩张也有望推动店内分析解决方案的采用。
  • 与店内分析相关的软体频繁更新的需求以及对新兴技术的资料安全和隐私担忧可能继续成为该地区店内分析成长抑制因素。然而，由于基于人工智慧的店内分析的采用率不断提高，加上北美地区需要提供更好的购物体验，店内分析市场可能会经历市场成长。
  • 此外，COVID-19 对美国零售业的影响导致零售商以前所未有的速度产生大量非结构化资料，这使得识别和利用新的有利可图的机会变得困难。然而，后疫情时代的世界可能会受到多种因素的影响，这些因素将对零售商的运作方式产生重大影响。
  • 透过分析多个资料集，店内分析可以提供可行的见解，并帮助零售商确定正确的策略来恢復损失的销售额，并透过满足客户的动态需求来增加市场占有率。预计此类店内分析应用将有助于北美市场对店内分析的需求。

店内分析行业概览

店内分析市场细分化，有多个参与企业，他们不断推出新平台进行创新，加剧了市场竞争。主要参与企业包括 Capgemini SE 和 RetailNext, Inc.近期市场趋势如下：

  • 2022 年 12 月，VSBLTY Group Technologies Corp 与 Al Jabr Group 旗下的商业平台投资控股 (BPIH) 签署协议，获得数位户外解决方案、商店即媒介 (SaaM) 计划以及零售店、石油和天然气行业和智慧城市的安全解决方案，涵盖五个中东国家。
  • 2022年11月，总部位于马尼拉的食品饮料和零售管理系统供应商Mosaic Solutions与菲律宾SM Supermalls合作，在全国82家商场部署先进的软体，为改善资料主导的决策和业务效率提供先进的见解。

其他福利

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

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场动态

  • 市场概况
  • 市场驱动因素
    • 增加云端优势
    • 需要更好的客户服务和改善购物体验
    • 客户管理预计将经历显着的市场成长
  • 市场限制
    • 人力资源技能短缺
  • 产业价值链分析
  • 产业吸引力-波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • COVID-19 市场影响评估

第五章 市场区隔

  • 按组件
    • 软体
    • 按服务
  • 按部署
    • 云
    • 本地
  • 按组织规模
    • 大型企业
    • 中小型企业
  • 按应用
    • 客户管理
    • 风险与合规管理
    • 店铺营运管理
    • 产品管理
    • 其他的
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第六章 竞争格局

  • 公司简介
    • Capgemini SE
    • RetailNext, Inc.
    • Happiest Minds Technologies
    • Capillary Technologies
    • Thinkinside SRL
    • Trax Image Recognition
    • Cloud4Wi, Inc.
    • Amoobi Inc.
    • Hoxton Analytics Limited
    • Motionloft Inc.
    • SAP SE

第七章投资分析

第八章 市场机会与未来趋势

简介目录
Product Code: 69177

The In-store Analytics Market size is estimated at USD 5.29 billion in 2025, and is expected to reach USD 15.66 billion by 2030, at a CAGR of 24.23% during the forecast period (2025-2030).

In-store Analytics - Market - IMG1

Increased Competition From E-commerce Players coupled with the need for enhanced shopping and customer services has been significant contributors to the growth of the In-store Analytics Market globally.

Key Highlights

  • In-store analytics refers to analyzing customer behavior and drawing conclusions from it. This analysis focuses on the number of consumer behaviors observed when a customer visits a store. Store owners widely use it to boost their sales and improve customer satisfaction.
  • Retail brands are focused on integrating cloud computing, a highly flexible and robust cloud-based reporting solution that provides a complete view of the business and empowers it to make informed decisions faster with increasing sales. The increasing advantage of the cloud further holds a strong trend in driving the in-store analytics market. According to NewGenApps, retailers leveraging the full potential of cloud computing for big data analytics can optimize their operating margins by approximately 60%. Also, the omnichannel retailer can monitor in-store customer behavior and drive timely offers to customers, thereby keeping the purchase within the fold of the retailer.
  • Customer experience in in-store environments is one of the great brand differentiators which generates repeat buyers and loyal customers. It also includes everything from how the store looks and how employees engage with customers. The need for better customer service, enhanced shopping experience, and several techniques to increase sales without spending money could drive the demand for the in-store analytics market.
  • However, the need for more personnel skills challenges the market's growth. The market faces a few issues owing to the need for more skilled personnel, which need to be more efficient to derive the required and vital insights from the retail data.
  • Further, due to the COVID-19 pandemic, the business growth for analytics service providers is penetrating. As businesses for brick and mortar are shuttered during this pandemic, it is clear how important the cloud is for the continuity of operations. Any retail organization that actively resisted digitalization may face the harsh reality of the pandemic, which puts cloud providers in a strong position. In-store analytics also provides a platform for the supply chain distribution chain, which holds the demand for the market during the pandemic. This trend would continue to grow over the next few years due to entrant of new market players and expansion into new regions.

Instore Analytics Market Trends

Customer Management Segment to Witness Significant Market Growth

  • According to the US Census Bureau, global retail sales were USD 7745.74 billion till Q3 in the current year, which increased compared to USD 6594.81 billion in the previous year. With growing sales, other factors, such as rapidly changing demographics and uncertain economic recovery, often present retailers with challenges. Moreover, retailers try to understand which products, services, and offers are more attractive to customers, which significantly caters to the importance of the in-store analytics platform and further needs the demand for consumer engagement analytics for the retailers.
  • Recently, Five9, Inc., a cloud contact center provider, unveiled new features that support companies in providing more cohesive and engaging customer experiences across voice and digital channels. The inconsistent and fragmented customer experience can lead to annoyance and, even worse, attrition. By providing flexible and practical tools for installing and managing AI systems and continuing to integrate real-time customer analytics, Five9 is assisting enterprises in overcoming these difficulties.
  • AI-based video analytics also create efficiencies and offer non-security-related insights for businesses. In the retail market, store owners using surveillance cameras with analytics can spot shoplifters and alert security personnel to intervene in real-time. The in-store analytics can also measure hotspots, visitor flow, dwell time, and product display activity.
  • Further, knowing the busiest store periods would help ensure staffing levels appropriately meet customer demand, keep costs down, drive conversion rates, and improve the store's customer journey. Such multiple applications of In-store analytics for customer analytics and management are expected to further fuel the market growth of the in-store analytics market globally.

North America Accounts for Significant Market Share

  • With the highest number of technology innovators and retail corporations, this region is expected to witness a significant market share with the increasing adoption of in-store analytics to enhance customers' buying experiences. Rapid embracement of technology such as cloud, AI, and others is complementing the requirement for in-store analytics in the region. Retail business enlargement is also expected to boost the implementation of in-store analytics solutions.
  • The need for frequent software updates associated with in-store analytics and data security and privacy concerns over new advanced technologies would likely remain potent growth retardants for in-store analytics in the region. However, the in-store analytics market is likely to experience market growth due to the increasing adoption of AI-based in-store analytics coupled with the need for providing an improved shopping experience in the North American region.
  • Further, due to COVID-19's impact on the US Retail Industry, retail companies generate a considerable base of unstructured data at an unprecedented rate, which makes it challenging to identify and capitalize on new lucrative opportunities. However, the post-pandemic world would be shaped by several factors contributing significantly to how retailers function.
  • The in-store analytics would offer actionable insights by analyzing multiple data sets to help the retailers identify the right strategies for recovering lost sales and boosting market share by addressing the dynamic needs of its customers. Such applications of in-store analytics are expected to contribute to the demand for In-store Analytics in the market in North America.

Instore Analytics Industry Overview

The in-store analytics market is fragmented due to several players who keep innovating new platforms, penetrating the market rivalry. Key players are Capgemini SE, RetailNext, Inc., etc. Recent developments in the market are -

  • In December 2022, VSBLTY Groupe Technologies Corp signed an agreement with Business Platform Investment Holdings (BPIH), a division of Al Jabr Group, to have access to digital out-of-home solutions, the Store as a Medium (SaaM) program, as well as security solutions for Retail outlets, the oil and gas industry, and smart cities in five Middle Eastern nations.
  • In November 2022, Mosaic Solutions, a Manila-based F&B and retail management system provider, partnered with Philippines SM Supermalls to deploy advanced software for 82 malls nationwide and provide advanced insights to improve data-driven decision-making and operational efficiency.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing advantage of the Cloud
    • 4.2.2 Need for Better Customer Service and Enhanced Shopping Experience
    • 4.2.3 Customer Management Segment to Witness Significant Market Growth
  • 4.3 Market Restraints
    • 4.3.1 Lack of Personnel Skills
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Bargaining Power of Suppliers
    • 4.5.2 Bargaining Power of Consumers
    • 4.5.3 Threat of New Entrants
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Assessment of Impact of Covid-19 on the Market

5 MARKET SEGMENTATION

  • 5.1 By Component
    • 5.1.1 Software
    • 5.1.2 Services
  • 5.2 By Deployment
    • 5.2.1 Cloud
    • 5.2.2 On-Premises
  • 5.3 By Organization Size
    • 5.3.1 Large Enterprises
    • 5.3.2 Small & Medium Enterprises
  • 5.4 By Application
    • 5.4.1 Customer Management
    • 5.4.2 Risk and Compliance Management
    • 5.4.3 Store Operations Management
    • 5.4.4 Merchandise Management
    • 5.4.5 Other Applications
  • 5.5 By Geography
    • 5.5.1 North America
    • 5.5.2 Europe
    • 5.5.3 Asia Pacific
    • 5.5.4 Latin America
    • 5.5.5 Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Capgemini SE
    • 6.1.2 RetailNext, Inc.
    • 6.1.3 Happiest Minds Technologies
    • 6.1.4 Capillary Technologies
    • 6.1.5 Thinkinside SRL
    • 6.1.6 Trax Image Recognition
    • 6.1.7 Cloud4Wi, Inc.
    • 6.1.8 Amoobi Inc.
    • 6.1.9 Hoxton Analytics Limited
    • 6.1.10 Motionloft Inc.
    • 6.1.11 SAP SE

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS