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市场调查报告书
商品编码
1852223

2025年人工智慧零售热图全球市场报告

AI-Driven Retail Heat Map Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，人工智慧零售热图市场规模呈指数级成长，从2024年的12.9亿美元成长至2025年的15.9亿美元，复合年增长率达23.2%。这段历史性时期的成长动力源自于以下几个因素：线上线下零售的整合、对优化顾客体验的重视、零售商对人工智慧的采用率不断提升、对数据驱动型店铺设计的需求日益增长，以及对营运效率的关注。

预计未来几年，人工智慧零售热力图市场将呈指数级增长，到2029年将达到36.3亿美元，年复合成长率（CAGR）为22.8%。预测期内的成长预计将受到以下因素的推动：对永续性和能源效率的日益关注、零售业的持续扩张、人工智慧智慧零售解决方案的广泛采用、新兴零售商的日益普及以及对即时预测洞察的需求不断增长。预计将出现的主要趋势包括：人工智慧预测热力图的使用、与物联网感测器的整合、电脑视觉在客流量监测中的应用、边缘运算在即时分析中的应用，以及扩增实境和虚拟实境平台的整合。

零售热图是一种视觉化工具，由人工智慧 (AI) 提供支持，用于分析顾客在商店中的活动和行为。它们透过摄影机、感测器和其他设备收集数据，以监控消费者的路径、兴趣区域以及在特定区域的停留时间。高客流量和低客流量区域采用颜色编码，有助于优化商店布局、产品摆放和整体顾客体验。

人工智慧零售热图的关键组件包括软体、硬体和服务。软体平台利用人工智慧处理消费者行为数据并创建视觉化热图，从而增强商品行销策略并即时优化产品布局。这些系统可以本地部署或透过云端部署，应用程式包括店内分析、顾客行为追踪、排队管理和门市布局优化。最终用户包括超级市场、大卖场、专卖店、百货公司、便利商店和其他零售商。

2025年春季，美国关税的快速上涨及其引发的贸易摩擦对零售和批发业产生了重大影响，尤其是在采购、库存管理和定价策略方面。包括电器产品、服装、家具和加工食品在内的进口消费品的关税上调，增加了零售商和批发商的采购成本，迫使许多企业提高最终消费者价格或承担损失。定价能力有限的中小企业尤其容易受到影响，往往面临净利率下降和竞争力下降。由于企业需要应对国际供应链中的延误和不确定性，库存週期也会受到干扰。此外，海外市场的报復性关税减少了美国品牌的出口机会，限制了收益成长。为此，企业正在转向国内和区域供应商，投资供应链弹性，并采用数据主导的需求预测来避免成本波动并维持客户满意度。

本研究报告是商业研究公司 (The Business Research Company) 新报告系列的一部分，该系列提供由人工智慧驱动的零售热图市场统计数据，包括全球市场规模、各地区份额、竞争对手的市场份额、详细的人工智慧驱动的零售热图细分市场、市场趋势和商业机会，以及在人工智慧驱动的零售热图行业取得成功所需的数据。这份由人工智慧驱动的零售热图市场研究报告透过对产业现状和未来情境的详细分析，提供了您所需的一切资讯的完整展望。

预计电子商务产业的成长将在未来几年推动人工智慧零售热图市场的发展。该领域主要涉及透过网站和行动应用程式等电子平台买卖商品和服务，从而实现企业与消费者之间的无缝交易，不受实体店的限制。行动商务的广泛应用是电子商务产业扩张的主要推动力。对智慧型手机的依赖日益增强，使消费者能够轻鬆访问线上市场。这种便利性提高了用户参与度，并支持了数位交易的持续成长。人工智慧零售热图透过分析消费者行为和客流量发挥至关重要的作用，帮助电子商务企业优化产品布局、行销策略和库存管理，最终加速市场成长。例如，美国人口普查局于2025年8月公布，2025年第二季美国零售电商销售额达2,929亿美元，季增6.2%，较上季成长5.3%。整体零售额成长3.8%，其中电商占零售总额的15.5%。因此，不断扩张的电商产业正在推动人工智慧驱动的零售热力图市场的成长。

AI 零售热图市场的主要企业正致力于将即时热图视觉化与 AI 预测模型相结合，以提高准确性、洞察深度和营运应对力。此功能使企业能够观察数位介面上的用户互动，同时利用 AI 预测未来的参与趋势，提供即时洞察并主动优化用户体验。例如，2024 年 7 月，美国客户洞察平台 Sprig 推出了“Sprig Heatmap”，这是一款用于获取和分析大规模用户参与度数据的 AI 驱动工具。该产品透过即时热图视觉化、参与度模式的预测模型以及与分析平台的集成，主动管理客户体验并最大化业务成果，支援数据主导的采用率、留存率和客户满意度改进。

2022年10月，美国房地产软体供应商MRI Software, LLC收购了Springboard，收购金额未揭露。此次收购旨在透过整合即时购物者行动数据和行为分析，增强MRI的零售解决方案套件，从而提升其提供详细店内分析的能力。这些洞察使客户能够更了解顾客行为，并提升零售业绩。总部位于英国的Springboard专注于即插即用的客流量监测、人口统计、情绪分析、停留时间和其他趋势分析，并利用人工智慧技术提供洞察。

人工智慧零售热图市场由提供即时监控、数据分析、员工培训、维护和咨询等服务的企业所获得的收益所构成。市场价值还包括服务供应商销售或包含在其服务产品中的相关产品的价值。人工智慧零售热图市场还包括热感像仪、Wi-Fi 追踪设备、客流量统计系统和数数位电子看板系统等产品的销售额。该市场的价值是「工厂门口」价值，即商品製造商或生产商向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品製造商销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧零售热图：PESTEL 分析（政治、社会、技术、环境、法律、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球人工智慧零售热图市场：成长率分析
  • 全球人工智慧零售热图市场表现：规模与成长，2019-2024
  • 全球人工智慧零售热图市场预测：2024-2029 年及 2034 年规模与成长
  • 全球人工智慧零售热图：总潜在市场（TAM）

第六章 市场细分

  • 全球人工智慧零售热图市场：按组件、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 硬体
  • 服务
  • 全球人工智慧零售热图市场：按部署模式、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球人工智慧零售热图市场：按应用、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 店内分析
  • 客户行为分析
  • 伫列管理
  • 优化门市布局
  • 其他用途
  • 全球人工智慧零售热图市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 超级市场或大卖场
  • 专卖店
  • 百货公司
  • 便利商店
  • 其他最终用户
  • 全球人工智慧零售热图市场：按软体类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 预测分析
  • 库存管理
  • 个人化引擎
  • 推荐系​​统
  • 全球人工智慧零售热图市场：按硬体（类型）细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 感应器
  • 相机
  • 灯塔
  • POS终端
  • 全球人工智慧零售热图市场：按服务类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询
  • 执行
  • 支援和维护
  • 训练

第七章 区域和国家分析

  • 全球人工智慧零售热图市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧零售热图市场：国家、表现与预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 人工智慧零售热图市场：竞争格局
  • 人工智慧零售热图市场：公司简介
    • Contentsquare Overview, Products and Services, Strategy and Financial Analysis
    • Stratacache Overview, Products and Services, Strategy and Financial Analysis
    • Placer.ai Overview, Products and Services, Strategy and Financial Analysis
    • RetailNext Overview, Products and Services, Strategy and Financial Analysis
    • OP Retail Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Aislelabs
  • V-Count
  • Kepler Analytics
  • Attention Insight
  • FootfallCam
  • Exposure Analytics
  • Flame Analytics
  • Mapsted
  • Oxania
  • Pathr.ai
  • Prism Skylabs
  • Retail Sensing
  • Tarsyer
  • Zenus Inc.
  • Prodco Analytics Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029 年人工智慧零售热图市场：提供新机会的国家
  • 2029 年人工智慧零售热图市场：细分领域带来新机会
  • 2029 年人工智慧零售热图市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r37929

An artificial intelligence (AI)-powered retail heat map is a visualization tool that leverages AI to analyze customer movement and behavior within a store. It gathers data from cameras, sensors, and other devices to monitor shopper pathways, areas of interest, and the duration of time spent in specific zones. By applying color-coded highlights to indicate high-traffic and low-traffic areas, the map helps retailers improve store layouts, product placement, and overall customer experience.

The key elements of an AI-driven retail heat map include software, hardware, and services. The software functions as a platform that processes shopper behavior data using AI to produce visual heat maps, enhance merchandising strategies, and optimize product placement in real time. These systems can be deployed either on-premises or via the cloud and are applied in areas such as in-store analytics, customer behavior tracking, queue management, and store layout optimization. End users include supermarkets and hypermarkets, specialty shops, department stores, convenience stores, and other retail outlets.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the retail and wholesale sector, particularly in sourcing, inventory management, and pricing strategies. Higher duties on imported consumer goods including electronics, apparel, furniture, and packaged foods have raised procurement costs for retailers and wholesalers, compelling many to either increase prices for end consumers or absorb losses. Small and mid-sized businesses with limited pricing power are especially vulnerable, often facing squeezed margins and reduced competitiveness. Inventory cycles are also disrupted as firms grapple with delays and uncertainty in international supply chains. Additionally, retaliatory tariffs in foreign markets have curtailed export opportunities for U.S. brands, limiting revenue growth. In response, companies are shifting toward domestic and regional suppliers, investing in supply chain resilience, and adopting data-driven demand forecasting to navigate cost volatility and maintain customer satisfaction.

The AI-driven retail heat map market research report is one of a series of new reports from The Business Research Company that provides AI-driven retail heat map market statistics, including AI-driven retail heat map industry global market size, regional shares, competitors with a AI-driven retail heat map market share, detailed AI-driven retail heat map market segments, market trends and opportunities, and any further data you may need to thrive in the AI-driven retail heat map industry. This AI-driven retail heat map market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI-driven retail heat map market size has grown exponentially in recent years. It will grow from $1.29 billion in 2024 to $1.59 billion in 2025 at a compound annual growth rate (CAGR) of 23.2%. Growth during the historic period was driven by the convergence of online and physical retail, greater emphasis on optimizing customer experiences, increased adoption by retailers, rising demand for data-informed store design, and a stronger focus on operational efficiency.

The AI-driven retail heat map market size is expected to see exponential growth in the next few years. It will grow to $3.63 billion in 2029 at a compound annual growth rate (CAGR) of 22.8%. Growth in the forecast period is expected to stem from heightened focus on sustainability and energy efficiency, continued retail expansion, broader adoption of AI-powered smart retail solutions, increasing uptake among emerging retailers, and rising demand for real-time predictive insights. Key trends anticipated include the use of AI-driven predictive heat maps, integration with IoT sensors, application of computer vision for foot traffic monitoring, deployment of edge computing for real-time analytics, and the incorporation of augmented and virtual reality platforms.

The growth of the e-commerce industry is anticipated to boost the AI-driven retail heat map market in the coming years. This sector involves buying and selling goods and services through electronic platforms, mainly websites and mobile apps, enabling seamless transactions between businesses and consumers without the limitations of physical stores. A significant factor contributing to the e-commerce industry's expansion is the widespread use of mobile commerce, as the growing dependence on smartphones allows consumers easy access to online marketplaces. This convenience increases user engagement and supports the continuous rise in digital transactions. AI-driven retail heat maps play an essential role by analyzing consumer behavior and traffic flow, helping e-commerce businesses optimize product placement, marketing strategies, and inventory management, which in turn accelerates market growth. For example, in August 2025, the United States Census Bureau reported that US retail e-commerce sales reached $292.9 billion in the second quarter of 2025, representing a 6.2 percent increase from the previous quarter and a 5.3 percent rise compared to Q2 2024. Overall retail sales grew 3.8 percent, with e-commerce accounting for 15.5 percent of total retail sales. Therefore, the expanding e-commerce sector is driving growth in the AI-driven retail heat map market.

Leading companies in the AI-driven retail heat map market are concentrating on combining real-time heatmap visualization with AI-powered predictive modeling to improve accuracy, depth of insight, and operational responsiveness. This capability enables businesses to simultaneously observe user interactions on digital interfaces while using AI to forecast future engagement trends, allowing for immediate insights and proactive optimization of user experiences. For instance, in July 2024, Sprig, a US-based customer insights platform, launched Sprig Heatmaps, an AI-powered tool designed to capture and analyze large-scale user engagement data. This product supports data-driven enhancements in adoption, retention, and customer satisfaction by providing real-time heat map visualization, predictive modeling of engagement patterns, and integration with analytics platforms to manage customer experiences proactively and maximize business results.

In October 2022, MRI Software, LLC, a US-based real estate software provider, acquired Springboard for an undisclosed amount. This acquisition aims to enhance MRI's Retail Solutions Suite by integrating real-time shopper traffic data and behavioral analytics, thereby strengthening its ability to deliver detailed in-store analytics. These insights help clients better understand customer behavior and improve retail performance. Springboard, a UK-based company, specializes in plug-and-play footfall monitoring, demographic and sentiment analysis, and movement metrics such as dwell time, all powered by AI-driven insights.

Major players in the AI-driven retail heat map market are Contentsquare, Stratacache, Placer.ai, RetailNext, OP Retail, Aislelabs, V-Count, Kepler Analytics, Attention Insight, FootfallCam, Exposure Analytics, Flame Analytics, Mapsted, Oxania, Pathr.ai, Prism Skylabs, Retail Sensing, Tarsyer, Zenus Inc., Prodco Analytics Inc.

North America was the largest region in the AI-driven retail heat map market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in AI-driven retail heat map report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the AI-driven retail heat map market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI-driven retail heat map market consists of revenues earned by entities by providing services such as real-time monitoring, data analysis, staff training, maintenance, and consulting. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven retail heat map market also includes sales of products such as thermal imaging cameras, Wi-Fi tracking devices, people counting systems, and digital signage systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI-Driven Retail Heat Map Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai-driven retail heat map market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai-driven retail heat map ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai-driven retail heat map market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Deployment Mode: On-Premises; Cloud
  • 3) By Application: In-Store Analytics; Customer Behavior Analysis; Queue Management; Store Layout Optimization; Other Applications
  • 4) By End-User: Supermarkets Or Hypermarkets; Specialty Stores; Department Stores; Convenience Stores; Other End-Users
  • Subsegments:
  • 1) By Software: Predictive Analytics; Inventory Management; Personalization Engines; Recommendation Systems
  • 2) By Hardware: Sensors; Cameras; Beacons; Point Of Sale Terminals
  • 3) By Services: Consulting; Implementation; Support And Maintenance; Training
  • Companies Mentioned: Contentsquare; Stratacache; Placer.ai; RetailNext; OP Retail; Aislelabs; V-Count; Kepler Analytics; Attention Insight; FootfallCam; Exposure Analytics; Flame Analytics; Mapsted; Oxania; Pathr.ai; Prism Skylabs; Retail Sensing; Tarsyer; Zenus Inc.; Prodco Analytics Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI-Driven Retail Heat Map Market Characteristics

3. AI-Driven Retail Heat Map Market Trends And Strategies

4. AI-Driven Retail Heat Map Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI-Driven Retail Heat Map Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI-Driven Retail Heat Map PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI-Driven Retail Heat Map Market Growth Rate Analysis
  • 5.4. Global AI-Driven Retail Heat Map Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI-Driven Retail Heat Map Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI-Driven Retail Heat Map Total Addressable Market (TAM)

6. AI-Driven Retail Heat Map Market Segmentation

  • 6.1. Global AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • In-Store Analytics
  • Customer Behavior Analysis
  • Queue Management
  • Store Layout Optimization
  • Other Applications
  • 6.4. Global AI-Driven Retail Heat Map Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Supermarkets Or Hypermarkets
  • Specialty Stores
  • Department Stores
  • Convenience Stores
  • Other End-Users
  • 6.5. Global AI-Driven Retail Heat Map Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics
  • Inventory Management
  • Personalization Engines
  • Recommendation Systems
  • 6.6. Global AI-Driven Retail Heat Map Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors
  • Cameras
  • Beacons
  • Point Of Sale Terminals
  • 6.7. Global AI-Driven Retail Heat Map Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting
  • Implementation
  • Support And Maintenance
  • Training

7. AI-Driven Retail Heat Map Market Regional And Country Analysis

  • 7.1. Global AI-Driven Retail Heat Map Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI-Driven Retail Heat Map Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI-Driven Retail Heat Map Market

  • 8.1. Asia-Pacific AI-Driven Retail Heat Map Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI-Driven Retail Heat Map Market

  • 9.1. China AI-Driven Retail Heat Map Market Overview
  • 9.2. China AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI-Driven Retail Heat Map Market

  • 10.1. India AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI-Driven Retail Heat Map Market

  • 11.1. Japan AI-Driven Retail Heat Map Market Overview
  • 11.2. Japan AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI-Driven Retail Heat Map Market

  • 12.1. Australia AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI-Driven Retail Heat Map Market

  • 13.1. Indonesia AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI-Driven Retail Heat Map Market

  • 14.1. South Korea AI-Driven Retail Heat Map Market Overview
  • 14.2. South Korea AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI-Driven Retail Heat Map Market

  • 15.1. Western Europe AI-Driven Retail Heat Map Market Overview
  • 15.2. Western Europe AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI-Driven Retail Heat Map Market

  • 16.1. UK AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI-Driven Retail Heat Map Market

  • 17.1. Germany AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI-Driven Retail Heat Map Market

  • 18.1. France AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI-Driven Retail Heat Map Market

  • 19.1. Italy AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI-Driven Retail Heat Map Market

  • 20.1. Spain AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI-Driven Retail Heat Map Market

  • 21.1. Eastern Europe AI-Driven Retail Heat Map Market Overview
  • 21.2. Eastern Europe AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI-Driven Retail Heat Map Market

  • 22.1. Russia AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI-Driven Retail Heat Map Market

  • 23.1. North America AI-Driven Retail Heat Map Market Overview
  • 23.2. North America AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI-Driven Retail Heat Map Market

  • 24.1. USA AI-Driven Retail Heat Map Market Overview
  • 24.2. USA AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI-Driven Retail Heat Map Market

  • 25.1. Canada AI-Driven Retail Heat Map Market Overview
  • 25.2. Canada AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI-Driven Retail Heat Map Market

  • 26.1. South America AI-Driven Retail Heat Map Market Overview
  • 26.2. South America AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI-Driven Retail Heat Map Market

  • 27.1. Brazil AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI-Driven Retail Heat Map Market

  • 28.1. Middle East AI-Driven Retail Heat Map Market Overview
  • 28.2. Middle East AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI-Driven Retail Heat Map Market

  • 29.1. Africa AI-Driven Retail Heat Map Market Overview
  • 29.2. Africa AI-Driven Retail Heat Map Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI-Driven Retail Heat Map Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI-Driven Retail Heat Map Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI-Driven Retail Heat Map Market Competitive Landscape And Company Profiles

  • 30.1. AI-Driven Retail Heat Map Market Competitive Landscape
  • 30.2. AI-Driven Retail Heat Map Market Company Profiles
    • 30.2.1. Contentsquare Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Stratacache Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Placer.ai Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. RetailNext Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. OP Retail Overview, Products and Services, Strategy and Financial Analysis

31. AI-Driven Retail Heat Map Market Other Major And Innovative Companies

  • 31.1. Aislelabs
  • 31.2. V-Count
  • 31.3. Kepler Analytics
  • 31.4. Attention Insight
  • 31.5. FootfallCam
  • 31.6. Exposure Analytics
  • 31.7. Flame Analytics
  • 31.8. Mapsted
  • 31.9. Oxania
  • 31.10. Pathr.ai
  • 31.11. Prism Skylabs
  • 31.12. Retail Sensing
  • 31.13. Tarsyer
  • 31.14. Zenus Inc.
  • 31.15. Prodco Analytics Inc.

32. Global AI-Driven Retail Heat Map Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI-Driven Retail Heat Map Market

34. Recent Developments In The AI-Driven Retail Heat Map Market

35. AI-Driven Retail Heat Map Market High Potential Countries, Segments and Strategies

  • 35.1 AI-Driven Retail Heat Map Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI-Driven Retail Heat Map Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI-Driven Retail Heat Map Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer