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市场调查报告书
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1439849

店内分析:市场占有率分析、产业趋势与统计、成长预测(2024-2029)

In-store Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

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到 2024 年为 42.6 亿美元,预计到 2029 年将达到 126 亿美元,在预测期内(2024-2029 年)复合年增长率为 24.23%。

店内分析 - 市场

来自电子商务参与者的日益激烈的竞争,加上对增强购物和客户服务的需求,正在为全球店内分析市场的成长做出重大贡献。

主要亮点

  • 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您的商店时观察到的消费行为数量。店主广泛使用它来增加销售额和提高客户满意度。
  • 零售品牌正在关注云端运算整合。云端运算是一种高度灵活且强大的云端基础的报告解决方案,可提供您业务的整体情况,使您能够在增加销售额的同时做出快速、明智的决策。云端的日益增长的优势进一步强化了推动店内分析市场的强劲趋势。据 NewGenApps 称,利用云端运算的全部潜力进行巨量资料分析的零售商可以将其营运报酬率优化约 60%。全通路零售商还可以监控店内顾客的行为,并为顾客提供及时的优惠,以确保零售商能够购买到商品。
  • 店内环境中的顾客体验是创造回头客和忠诚顾客的重要品牌差异化因素之一。这包括从商店的外观到员工与客户互动的一切。对更好的客户服务、增强的购物体验以及一些无需花钱即可增加销售的技术的需求可能会推动对店内分析市场的需求。
  • 然而,对更多人力资源技能的需求挑战了市场成长。由于需要更熟练的人力资源来更有效地从零售资料中获得必要和关键的见解,因此市场面临一些挑战。
  • 此外,分析服务供应商的业务成长也受到了 COVID-19感染疾病的影响。随着实体企业在这场大流行期间关闭,云端对于业务连续性的重要性显而易见。积极抵制数位化的零售组织可能会面临疫情的严峻现实,从而使云端供应商处于有利地位。店内分析也为供应链分销链提供了一个平台,以便在疫情期间维持市场需求。由于新市场参与者的进入和新地区的扩张,这一趋势将在未来几年继续进一步增长。

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 77,457.4 亿美元,去年同期为 65,948.1 亿美元。随着销售额的增加,快速变化的人口结构和不确定的经济復苏等其他因素往往会给零售商带来挑战。此外,零售商正在努力了解哪些产品、服务和福利对客户更具吸引力。这将大大解决店内分析平台的重要性,并进一步增加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. 宣布推出新功能,帮助企业在语音和数位管道上提供更一致、更具吸引力的客户体验。不一致且支离破碎的客户体验可能会导致挫折感,更糟的是,还会导致客户流失。 Five9 透过提供灵活实用的工具来安装和管理人工智慧系统并持续整合即时客户分析,帮助企业克服这些挑战。
  • 基于人工智慧的视讯分析还可以提高效率,并为企业提供非安全相关的见解。在零售市场,店主使用具有分析功能的监视录影机可以发现商店扒手,并提醒保全人员即时介入。店内分析还可以测量热点、访客流量、停留时间和产品展示活动。
  • 此外,了解商店何时最繁忙可以让您确保人员配备水准更好地满足客户需求、降低成本、提高转换率并改善商店的客户旅程。店内分析用于客户分析和管理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

  • 该地区拥有数量最多的技术创新者和零售公司,由于越来越多地采用店内分析来改善客户购买体验,预计将占据重要的市场占有率。云端、人工智慧和其他技术的快速采用正在补充该地区的店内分析需求。零售业务的扩张预计也将推动店内分析解决方案的采用。
  • 与店内分析相关的频繁软体更新需求以及有关新先进技术的资料安全和隐私问题可能仍然是该地区店内分析的强劲成长阻碍因素。然而,由于越来越多地采用基于人工智慧的店内分析,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成长。
  • 此外,COVID-19 对美国零售业的感染疾病意味着零售商正在以前所未有的速度产生大量非结构化资料,这使得他们很难识别和利用新的商机。这变得越来越困难。然而,疫情后的世界将受到几个因素的影响,这些因素将对零售商的运作产生重大影响。
  • 透过分析多个资料集,店内分析提供了可行的见解,帮助零售商回应客户的动态需求、挽回损失的销售并增加市场占有率。帮助您确定策略。此类店内分析应用程式预计将有助于满足北美市场对店内分析的需求。

店内分析产业概述

随着多个参与者不断创新新平台并侵入市场竞争,店内分析市场变得支离破碎。主要参与者包括 Capgemini SE 和 RetailNext, Inc.。市场的最新发展包括:

  • 2022 年 12 月,VSBLTY Groupe Technologies Corp 与 Al Jabr Group 旗下业务平台投资控股公司 (BPIH) 签署协议,提供对其数位户外解决方案 Store as a Medium (SaaM) 计画的存取权。我们也为五个中东国家的零售商店、石油和天然气产业以及智慧城市提供安全解决方案。
  • 2022年11月,总部位于马尼拉的餐饮和零售管理系统供应商Mosaic Solutions与菲律宾的SM Supermalls合作,在全国82家购物中心部署先进软体,以实现资料主导的决策,并提供先进的见解,以提高业务效率。

其他福利

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

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

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
    • 扩大云的优势
    • 需要更好的客户服务和增强的购物体验
    • 客户管理领域市场成长显着
  • 市场限制因素
    • 缺乏人力资源技能
  • 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
    • 替代产品的威胁
    • 竞争公司之间的敌意强度
  • 评估 COVID-19 对市场的影响

第五章市场区隔

  • 按成分
    • 软体
    • 服务
  • 按配置
    • 本地
  • 按组织规模
    • 大公司
    • 中小企业
  • 按用途
    • 使用者管理
    • 风险与合规管理
    • 门市营运管理
    • 产品管理
    • 其他用途
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第六章 竞争形势

  • 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 4.26 billion in 2024, and is expected to reach USD 12.60 billion by 2029, growing at a CAGR of 24.23% during the forecast period (2024-2029).

In-store Analytics - Market

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 Phillippines 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