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市场调查报告书
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北美店内分析：市场占有率分析、产业趋势与成长预测（2025-2030 年）

NA In-Store Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 132 Pages | 商品交期: 2-3个工作天内

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简介目录

北美店内分析市场规模预计在 2025 年为 16.8 亿美元，预计到 2030 年将达到 45.5 亿美元，预测期内（2025-2030 年）的复合年增长率为 22%。

NA 店内分析-市场-IMG1

预计店内业务资料量的增加以及对更好的客户服务和改善购物体验的需求等因素将推动市场的发展。

主要亮点

  • 在竞争激烈的零售市场中，店内分析越来越受到重视。店内分析有可能改变商店布局并改善各个业务部门的客户体验。在北美，零售商正在使用配备定位信标的智慧购物车、安装在货架附近的针状摄影机或店内 Wi-Fi 网路来了解有多少消费者进入商店、他们如何走动以及他们访问哪些关键区域。这个过程使资料能够获得性别和年龄组等基本人口统计。
  • 北美拥有最大的零售市场之一。沃尔玛、好市多、克罗格、家得宝和塔吉特均起源于该地区。店内业务资料量的快速成长正在推动市场成长。随着销售额的增加，资料量也会增加。随着资料量的成长，如果不实施分析，就很难追踪所有客户记录、行为、商店存取等。
  • 当零售商使用多种技术为消费者提供客製化体验时，就实现了商店的数位化，包括评估客户偏好、识别他们在商店中的数位化、有针对性的促销和购买习惯。业务监控技术可以分析这些趋势并提供有价值的见解，有助于增加销售额、收益和客流量。例如，亚马逊于 2022 年 6 月宣布推出新的 Store Analytics 服务。电子商务巨头希望透过向负责人提供有关客户购买情况的资料来充分利用其实体店。
  • 美国劳工统计局估计，到 2026 年，对熟练资料科学家的需求将会很高，就业人数将增加 27.9%。然而，这种巨大的需求也可能导致合格专业人员的严重短缺。此外，市场成长面临的另一个挑战是，负责人可能需要找到新的方法来执行2022年及以后的策略，以满足消费者对便利性的渴望。 《加州消费者隐私法案》和《维吉尼亚消费者资料隐私法案》等新的资料隐私法规对零售负责人产生了一系列重大影响。曾经支援特定用户定位的第三方资料将不再提供给Google和 Facebook 等广告平台。零售商正在寻找新方法在其数位行销策略中使用第一方资料。
  • COVID-19 疫情促使零售业大力采用技术，以提高商店运转率、萤幕温度控制、保持社交距离并简化设施使用。其中一些措施是法律要求的，而另一些措施则是为了确保顾客安全和限製商店关闭。许多此类技术为零售商提供了店内分析的显着优势，并被视为长期策略投资而非临时保护措施，从而带来更好的投资收益。

北美店内分析市场趋势

预测期内门市营运管理将呈现良好成长

  • 商店营运管理涉及运行和监控商店内所有业务的一系列活动。管理商店营运的关键职责包括与员工密切合作、制定工作计划、与供应商沟通以确保产品有库存以及处理客户申诉。
  • 在北美，特别是美国，有几家公司在全国各地拥有多家商店。例如，根据美国零售联合会的数据，沃尔玛在 2022 年实现了扩张。根据其最新财务数据，这美国最大零售商2022年第一季的销售额为1,416亿美元，较去年同期成长2.4%。大部分成长来自美国市场，2022 年第一季净销售额成长 4%，达到 969 亿美元。
  • 随着市场情势的改善，一些本地和国际软体供应商已经推出了分析软体来满足日益增长的需求。例如，IBM 的 Sterling Store Engagement 解决方案透过直觉的使用者介面显示即时商店库存、客户和订单资料。
  • 同样，SCOPIX Store Operations Analytics 使用基于网路的 IP 视讯监控技术，为持续监控商店营运提供了经济高效的基础。该解决方案根据特定基准捕获并分析店内即时活动。此外，它还将视讯影像转换为可操作的商业智慧，使商店管理、行销团队、营运经理和销售人员受益。
  • 此外，根据美国劳工部的数据，美国各地的杂货零售商都面临劳动力短缺的问题。预计人手不足不会很快消失，这就是零售业转向数位技术和自动化的原因。

预计美国将占很大市场占有率

  • 美国是全球最大的零售市场之一，受到新冠疫情的严重打击。但要使这些成长的数字保持正常，巩固成长并保持成长势头，需要先进的技术来分析如此大规模的资料。根据美国零售联合会（NRF）的数据，零售业是美国最大的私人雇主，每年为 GDP 贡献 3.9 兆美元，并支持美国四分之一的就业（5,200 万美国工人）。
  • 根据美国人口普查局的数据，2022 年 3 月零售额经季节性已调整的后较 2 月增长 0.5%，较去年同期增长 6.9%。 2月季增0.8%，年增18.2%。
  • 后疫情时代的美国零售市场正在寻求利用资料分析技术来克服障碍，而这项解决方案将受到对零售商运作有重大影响的几个因素的影响。我们针对美国零售业提供的零售分析解决方案专注于解决日益复杂的挑战，以帮助您获得市场占有率。它能够透过分析多个资料集提供可操作的见解，帮助零售客户确定正确的策略，以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。
  • 随着市场重新开放并走出关闭状态，消费者正在转向混合购物结构。智慧全通路资料和追踪策略对于了解客户行为至关重要。拥有强大全通路业务的品牌依靠分析来了解如何利用市场中客户行为带来的机会。
  • 此外，国内电子商务零售和实体零售可能会推动该产业的发展。根据美国商务部和美国人口普查局的数据，由电子商务推动的美国零售总额从 2021 年第四季的 14.5% 上升至 2022 年第三季的 14.8%。

北美店内分析产业概况

北美店内分析市场竞争激烈，零售业的软体系统供应商和技术创新众多。市场上的一些主要企业包括 Capgemini、RetailNext、Happiest Minds Technologies Limited、Capillary Technologies 和 ThinkIN。市场上的公司经常改变其定价方案，这给其他公司带来了价格压力并加剧了市场竞争。

  • 2023 年 10 月，店内客流量分析供应商 RetailNext 与着名的实体零售 A/B 测试解决方案供应商 MarketDial 合作。两家公司携手合作，旨在为零售商提供前所未有的 360° 客户旅程视图。 RetailNext 使用人工智慧热图技术来了解店内客流量趋势，并提供有关停留时间、参与度和购物者曝光度的可行见解。
  • 2023年5月，Capgemini SA与Google云端宣布拓展双方在资料分析与人工智慧领域的长期策略伙伴关係关係，创建全球生成式人工智慧Google云端卓越中心，协助企业充分发挥人工智慧技术的潜力。Capgemini SA将开发一个包含 500 多个企业级行业用例的库，包括金融服务、零售和汽车行业，主要利用 Google Cloud 的生成式 AI 技术。
  • 2023 年 1 月，微软发布了与 AiFi 合作的云端储存服务预览版，名为 Smart Store Analytics。智慧商店资讯是微软零售云端产品套件的一部分，它为采用 AiFi 技术的零售商提供其智慧商店的营运分析和消费者。

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

第一章 引言

  • 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 市场洞察

  • 市场概览
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 买家的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 产业价值链分析
  • COVID-19 产业影响评估

第五章市场动态

  • 市场驱动因素
    • 商店业务资料量不断增加
    • 需要更好的客户服务和改善的购物体验
  • 市场挑战
    • 熟练劳动力短缺
  • 使用案例
    • 客流量分析
    • 客户行为分析
    • 版税管理
    • 影片分析
    • 智慧收银机

第六章市场区隔

  • 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
    • 行销和商品行销
    • 其他用途
  • 按国家
    • 美国
    • 加拿大

第七章竞争格局

  • 公司简介
    • Capgemini Se
    • Retailnext Inc.
    • Happiest Minds Technologies
    • Capillary Technologies
    • Thinkin Srl
    • Trax Image Recognition
    • Cloud4wi Inc.
    • Amoobi
    • SAP SE
    • Shoppertrak（sensormatic Solutions）
    • Analytiks AI
    • Cisco Meraki（Cisco Systems Inc.）
    • C2ro

第八章投资分析

第九章 市场机会与未来趋势

简介目录
Product Code: 54313

The NA In-Store Analytics Market size is estimated at USD 1.68 billion in 2025, and is expected to reach USD 4.55 billion by 2030, at a CAGR of 22% during the forecast period (2025-2030).

NA In-Store Analytics - Market - IMG1

Factors such as increasing data volume in in-store operations and the need For better customer service and enhanced shopping experience are expected to drive the market.

Key Highlights

  • In the hyper-competitive retail market, in-store analytics is gaining traction. In-store analytics has the potential to transform the store layout and improve customer experience across different business segments. In the North American region, retailers use smart carts with location beacons, pin-sized cameras installed near shelves, or the store's Wi-Fi network to see how many shoppers entered the store, how they moved around once inside, and what key areas they visited. This process can provide basic demographic data, such as gender and age group.
  • The retail market in North America is one of the biggest. Wal-Mart, Costco, Kroger, Home Depot, and Target originated in this region. The rapidly growing data volume across in-store operations drives the market's growth. With increasing sales value, the volume of data is increasing. With growing data volume, it has become difficult to track every customer's record, behaviors, footfall, etc., without implementing analytics.
  • When retailers give customized experiences to their consumers using several technologies, such as evaluating customer preferences, recognizing customer location in-store, targeted promotions, and purchase habits, they accomplish digitalization in shops. The business monitoring technology analyzes these trends to offer valuable insights that assist merchants in increasing sales, revenue, and footfalls. For example, Amazon announced the debut of its new Store Analytics service in June 2022. The e-commerce behemoth is attempting to profit from its physical storefronts by providing marketers with data on what customers buy.
  • The United States Bureau of Labour Statistics estimated the demand for skilled and knowledgeable data scientists to boost by 2026, leading to a 27.9% rise in employment. However, this huge demand would also bring a significant shortage of qualified professionals. Further, another challenge to the market growth is that marketers might need to find new ways of executing their strategies in 2022 and beyond to satisfy the consumer thirst for convenience. New data privacy regulations like the California Consumer Privacy Act and Virginia's Consumer Data Privacy Act set a chain of events in motion that will heavily impact retail marketers. The third-party data that once enabled specific user targeting will no longer be available on ad platforms such as Google and Facebook. Retailers are trying to explore new ways to use first-party data in their digital marketing strategies.
  • Due to the COVID-19 pandemic, the retail industry has seen significant technology adoption to manage store occupancy and screen temperatures, maintain social distancing, and streamline the use of facilities. Some of these adoptions are mandated by law, and others were made to ensure customer safety and limit store closures. Many of these technologies provided retailers with significant advantages for in-store analytics, and a much better return on investment is seen as a long-term strategic investment rather than a temporary protective measure.

North America In-Store Analytics Market Trends

Store Operation Management to Exhibit Good Growth Over the Forecast Period

  • Store operation management entails a set of activities for running and monitoring all the operations inside a store. Some of the significant responsibilities of store management include working closely with staff, creating work schedules, communicating with suppliers to ensure the availability of products, and dealing with customer complaints.
  • There are several companies within the North American region, especially in the United States, with many stores in the country. For instance, according to National Retail Federation, Walmart expanded in 2022. According to latest fiscal figures, the biggest US retailer made revenue of USD 141.6 billion in the Q1 of 2022, a 2.4 rise year on year. The majority of this revenue increase came from the United States market, where net sales increased by 4% to $96.9 billion in Q1 2022.
  • The favourable market scenario has attracted several local and global software providers to develop analytics software to cater to the growing demand. For instance, IBM's Sterling Store Engagement solution provides a real-time view of the store inventory and customer and order data through an intuitive user interface that a store operator can access from sales counters and mobile devices.
  • Similarly, SCOPIX Store Operations Analytics, which offers a cost-effective foundation for continuous monitoring of store operations, uses network-based IP video surveillance technology. The solution captures and analyzes live in-store conditions against specific benchmarks. Furthermore, it transforms video footage into actionable business intelligence that benefits store management, marketing teams, operations managers, and merchandisers.
  • Furthermore, according to US Labor Department, grocery retailers around the United States are suffering from a labor crunch. As this shortage is not expected to go away soon, there is a growing interest in digital technology and automation among retail.

United States is Expected to Hold a Significant Market Share

  • The United States is one of the top retail markets globally and was impacted by covid-19. However, returning on track with increasing numbers and bolstering the growth to maintain the boost requires advanced technology to analyze data at that scale. As per the National Retail Federation (NRF), Retail is the nation's largest private-sector employer, contributing USD 3.9 trillion to annual GDP and supporting one in four United States jobs - 52 million working Americans.
  • According to the US Census Bureau, total retail sales in March 2022 was up 0.5% seasonally adjusted from February and increased 6.9% Y-O-Y. In February, the rise was 0.8% month over month and 18.2% Y-O-Y.
  • The post-pandemic United States retail market has been trying to overcome obstacles using Data Analytics technology as a solution that will be shaped by several factors contributing significantly to how retailers function. Retail analytics solutions for the United States retail industry will focus on dealing with challenges that arise from heightened complexities and help to improve the market share. Their ability to offer actionable insights by analyzing multiple data sets will help their retail clients identify the right strategies for recovering lost sales and boost market share by addressing the dynamic needs of their customers.
  • With the market reopening and letting go of lockdown, consumers are shifting to a Hybrid shopping structure, for this omnichannel data is of great significance. A smart omnichannel data and tracking strategy are essential to understanding customers' behavior. Brands with a robust omnichannel business rely on analytics to know how to take advantage of the opportunity possible by customers' behaviors toward the market.
  • Furthermore, the country's e-commerce retail and in-store retail sales are likely to propel the industry. According to the US Department of Commerce and the US Census Bureau, e-commerce total U.S. retail sales climbed from 14.5% in the fourth quarter of 2021 to 14.8% in the third quarter of 2022.

North America In-Store Analytics Industry Overview

The North America in-store analytics market is highly competitive owing to numerous software systems providers and technological innovation in the industry for retail. Some of the major players operating in the market include Capgemini, RetailNext, Happiest Minds Technologies Limited, Capillary Technologies, and ThinkIN, among others. The players in the market are regularly involved in altering their pricing schemes, which creates pricing pressure on other companies, thereby augmenting the competition in the market.

  • In October 2023, RetailNext, a provider of in-store traffic analytics, partnered with MarketDial, a prominent A/B testing solution for physical retail. Both companies have made this partnership intending to provide retailers with an unprecedented 360° view of the customer journey. RetailNext uses its AI-driven heat-mapping technology to identify in-store traffic trends, providing actionable insights on dwell time, engagement, and shopper exposure.
  • In May 2023, Capgemini and Google Cloud declared an expansion of their long-standing strategic partnership in terms of data analytics and artificial intelligence, thereby building a global Generative AI Google Cloud Center of Excellence to assist enterprises in realizing the complete potential of AI technologies. Capgemini would utilize Google Cloud's generative AI technologies primarily to develop a library of more than 500 enterprise-ready industry use cases, beginning with financial services, retail, as well as automotive.
  • In January 2023, Microsoft released a preview of a cloud storage service known as Smart Store Analytics in collaboration with AiFi, which seeks to allow retailers to adopt autonomous shopping technology at a low cost. Smart Store Information, which is part of Microsoft's Clouds for Retail suite of products, offers retailers employing AiFi's technologies operational analytics and shoppers for their fleets of smart shops.

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 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of the Impact of COVID -19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Data Volume In In-store Operations
    • 5.1.2 Need For Better Customer Service And Enhanced Shopping Experience
  • 5.2 Market Challenges
    • 5.2.1 Lack of Skilled Personnel
  • 5.3 Use Cases
    • 5.3.1 Footfall Analytics
    • 5.3.2 Customer Behavior Analytics
    • 5.3.3 Loyalty Management
    • 5.3.4 Video Analytics
    • 5.3.5 Smart Checkouts

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Software
    • 6.1.2 Services
  • 6.2 By Deployment
    • 6.2.1 Cloud
    • 6.2.2 On-premise
  • 6.3 By Organization Size
    • 6.3.1 Large Enterprises
    • 6.3.2 Small and Medium Enterprises
  • 6.4 By Application
    • 6.4.1 Customer Management
    • 6.4.2 Risk and Compliance Management
    • 6.4.3 Store Operation Management
    • 6.4.4 Marketing and Merchandizing
    • 6.4.5 Other Applications
  • 6.5 By Country
    • 6.5.1 United States
    • 6.5.2 Canada

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Capgemini Se
    • 7.1.2 Retailnext Inc.
    • 7.1.3 Happiest Minds Technologies
    • 7.1.4 Capillary Technologies
    • 7.1.5 Thinkin Srl
    • 7.1.6 Trax Image Recognition
    • 7.1.7 Cloud4wi Inc.
    • 7.1.8 Amoobi
    • 7.1.9 SAP SE
    • 7.1.10 Shoppertrak(sensormatic Solutions)
    • 7.1.11 Analytiks AI
    • 7.1.12 Cisco Meraki (Cisco Systems Inc.)
    • 7.1.13 C2ro

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS