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市場調查報告書
商品編碼
1852223

2025年人工智慧零售熱圖全球市場報告

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個工作天內

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簡介目錄

近年來，人工智慧零售熱圖市場規模呈指數級成長，從2024年的12.9億美元成長至2025年的15.9億美元，複合年成長率達23.2%。這段歷史性時期的成長動力源自於以下幾個因素：線上線下零售的整合、對最佳化顧客體驗的重視、零售商對人工智慧的採用率不斷提升、對數據驅動型店鋪設計的需求日益成長，以及對營運效率的關注。

預計未來幾年，人工智慧零售熱力圖市場將呈指數級成長，到2029年將達到36.3億美元，年複合成長率（CAGR）為22.8%。預測期內的成長預計將受到以下因素的推動：對永續性和能源效率的日益關注、零售業的持續擴張、人工智慧智慧零售解決方案的廣泛採用、新興零售商的日益普及以及對即時預測洞察的需求不斷成長。預計將出現的主要趨勢包括：人工智慧預測熱力圖的使用、與物聯網感測器的整合、電腦視覺在客流量監測中的應用、邊緣運算在即時分析中的應用，以及擴增實境和虛擬實境平台的整合。

零售熱圖是一種視覺化工具，由人工智慧 (AI) 提供支持，用於分析顧客在商店中的活動和行為。它們透過攝影機、感測器和其他設備收集數據，以監控消費者的路徑、興趣區域以及在特定區域的停留時間。高客流量和低客流量區域採用顏色編碼，有助於最佳化商店佈局、產品擺放和整體顧客體驗。

人工智慧零售熱圖的關鍵組件包括軟體、硬體和服務。軟體平台利用人工智慧處理消費者行為數據並創建視覺化熱圖，從而增強商品行銷策略並即時最佳化產品佈局。這些系統可以本地部署或透過雲端部署，應用程式包括店內分析、顧客行為追蹤、排隊管理和門市佈局最佳化。最終用戶包括超級市場、大賣場、專賣店、百貨公司、便利商店和其他零售商。

2025年春季，美國關稅的快速上漲及其引發的貿易摩擦對零售和批發業產生了重大影響，尤其是在採購、庫存管理和定價策略方面。包括電器產品、服裝、家具和加工食品在內的進口消費品的關稅上調，增加了零售商和批發商的採購成本，迫使許多企業提高最終消費者價格或承擔損失。定價能力有限的中小企業尤其容易受到影響，往往面臨淨利率下降和競爭力下降。由於企業需要應對國際供應鏈中的延誤和不確定性，庫存週期也會受到干擾。此外，海外市場的報復性關稅減少了美國品牌的出口機會，限制了收益成長。為此，企業正在轉向國內和區域供應商，投資供應鏈彈性，並採用數據主導的需求預測來避免成本波動並維持客戶滿意度。

本研究報告是商業研究公司 (The Business Research Company) 新報告系列的一部分，該系列提供由人工智慧驅動的零售熱圖市場統計數據，包括全球市場規模、各地區佔有率、競爭對手的市場佔有率、詳細的人工智慧驅動的零售熱圖細分市場、市場趨勢和商業機會，以及在人工智慧驅動的零售熱圖行業取得成功所需的數據。這份由人工智慧驅動的零售熱圖市場研究報告透過對產業現狀和未來情境的詳細分析，提供了您所需的一切資訊的完整展望。

預計電子商務產業的成長將在未來幾年推動人工智慧零售熱圖市場的發展。該領域主要涉及透過網站和行動應用程式等電子平台買賣商品和服務，從而實現企業與消費者之間的無縫交易，不受實體店的限制。行動商務的廣泛應用是電子商務產業擴張的主要推動力。對智慧型手機的依賴日益增強，使消費者能夠輕鬆訪問線上市場。這種便利性提高了用戶參與度，並支持了數位交易的持續成長。人工智慧零售熱圖透過分析消費者行為和客流量發揮至關重要的作用，幫助電子商務企業最佳化產品佈局、行銷策略和庫存管理，最終加速市場成長。例如，美國人口普查局於2025年8月公佈，2025年第二季美國零售電商銷售額達2,929億美元，季增6.2%，較上季成長5.3%。整體零售額成長3.8%，其中電商佔零售總額的15.5%。因此，不斷擴張的電商產業正在推動人工智慧驅動的零售熱力圖市場的成長。

AI 零售熱圖市場的主要企業正致力於將即時熱圖視覺化與 AI 預測模型相結合，以提高準確性、洞察深度和營運應對力。此功能使企業能夠觀察數位介面上的用戶互動，同時利用 AI 預測未來的參與趨勢，提供即時洞察並主動最佳化用戶體驗。例如，2024 年 7 月，美國客戶洞察平台 Sprig 推出了“Sprig Heatmap”，這是一款用於獲取和分析大規模用戶參與度數據的 AI 驅動工具。該產品透過即時熱圖視覺化、參與度模式的預測模型以及與分析平台的整合，主動管理客戶體驗並最大化業務成果，支援數據主導的採用率、留存率和客戶滿意度改進。

2022年10月，美國房地產軟體供應商MRI Software, LLC收購了Springboard，收購金額未揭露。此次收購旨在透過整合即時購物者行動數據和行為分析，增強MRI的零售解決方案套件，從而提升其提供詳細店內分析的能力。這些洞察使客戶能夠更了解顧客行為，並提升零售業績。總部位於英國的Springboard專注於即插即用的客流量監測、人口統計、情緒分析、停留時間和其他趨勢分析，並利用人工智慧技術提供洞察。

人工智慧零售熱圖市場由提供即時監控、數據分析、員工培訓、維護和諮詢等服務的企業所獲得的收益所構成。市場價值還包括服務供應商銷售或包含在其服務產品中的相關產品的價值。人工智慧零售熱圖市場還包括熱感像儀、Wi-Fi 追蹤設備、客流量統計系統和數位電子看板系統等產品的銷售額。該市場的價值是「工廠門口」價值，即商品製造商或生產商向其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接向最終客戶銷售的商品價值。該市場中的商品價值還包括商品製造商銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧零售熱圖：PESTEL 分析（政治、社會、技術、環境、法律、促進因素和限制因素）
  • 最終用途產業分析
  • 全球人工智慧零售熱圖市場：成長率分析
  • 全球人工智慧零售熱圖市場表現：規模與成長，2019-2024
  • 全球人工智慧零售熱圖市場預測：2024-2029 年及 2034 年規模與成長
  • 全球人工智慧零售熱圖：總潛在市場（TAM）

第6章 市場細分

  • 全球人工智慧零售熱圖市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 硬體
  • 服務
  • 全球人工智慧零售熱圖市場：按部署模式、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 雲
  • 全球人工智慧零售熱圖市場：按應用、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 店內分析
  • 客戶行為分析
  • 佇列管理
  • 最佳化門市佈局
  • 其他用途
  • 全球人工智慧零售熱圖市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 超級市場或大賣場
  • 專賣店
  • 百貨公司
  • 便利商店
  • 其他最終用戶
  • 全球人工智慧零售熱圖市場：按軟體類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 預測分析
  • 庫存管理
  • 個人化引擎
  • 推薦系​​統
  • 全球人工智慧零售熱圖市場：按硬體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 感應器
  • 相機
  • 燈塔
  • POS終端
  • 全球人工智慧零售熱圖市場：按服務類型、績效和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢
  • 執行
  • 支援和維護
  • 訓練

第7章 區域和國家分析

  • 全球人工智慧零售熱圖市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧零售熱圖市場：國家、表現與預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧零售熱圖市場：競爭格局
  • 人工智慧零售熱圖市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029 年人工智慧零售熱圖市場：提供新機會的國家
  • 2029 年人工智慧零售熱圖市場：細分領域帶來新機會
  • 2029 年人工智慧零售熱圖市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
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