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市场调查报告书
商品编码
1838897

零售市场人工智慧（按产品、技术、应用领域和最终用户类型）—全球预测，2025-2032

Artificial Intelligence in Retail Market by Offering, Technology, Application Area, End-User Type - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 191 Pages | 商品交期: 最快1-2个工作天内

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预计到 2032 年，零售业人工智慧市场规模将成长至 563.8 亿美元，复合年增长率为 15.55%。

主要市场统计数据
基准年2024年 177.4亿美元
预计2025年 203.8亿美元
预测年份：2032年 563.8亿美元
复合年增长率（%） 15.55%

策略入门指南，解释为什么人工智慧对于寻求无缝客户体验和营运弹性的现代零售商至关重要

零售业正处于曲折点，人工智慧正从实验阶段迈向核心营运能力。从消费者触点到后勤部门功能，企业正在部署人工智慧系统，以提升关联性、减少摩擦并提高成本效益。本介绍将人工智慧对现代零售商至关重要的技术、营运和商业性驱动因素进行综合阐述。

更快的运算速度、更丰富的资料来源以及能够将洞察转化为行动的成熟软体，持续推动人工智慧的应用。同时，消费者对无缝个人化体验的期望，也推动零售商进行跨通路创新。因此，人工智慧投资越来越注重实际成果，例如顺畅的结帐、库存准确性和行销效果，而非理论用例。因此，将零售领域专业知识与资料科学、软体工程和变革管理相结合的多学科团队，正在成为将技术转化为可衡量成果的决定性因素。

有鑑于此，决策者必须协调其策略、管治和营运模式，以充分发挥人工智慧的潜力。这需要明确用例的优先顺序、可重复的试点扩展流程，以及严格的变更管理，以确保新的工作流程得以实施。引言概述了这些先决条件，并强调，将客户经验、营运和供应链连接起来的连贯策略，对于充分释放人工智慧在零售业的价值至关重要。

为什么即时个人化、先进的电脑视觉和整合供应链智慧正在同时重新定义零售营运和客户参与度

零售业的技术和商业性格局正在经历一场变革，这场变革由人工智慧创新驱动，重塑了产品的发现、库存和销售方式。例如，全通路整合依赖即时洞察，这些洞察能够整合库存、客户行为和物流，从而在实体和数位接触点提供一致的体验。因此，零售商正在重塑其流程，以支援大规模即时决策，提升资料架构和边缘运算在店内环境中的作用。

在客户接触点，个人化正从基于规则的建议发展为持续的、情境感知的互动，能够即时调整优惠、价格和内容。同时，电脑视觉的应用范围正从损失预防扩展到自助结帐、货架分析和客流优化，从而创造了一种全新的店内自动化技术。同时，自然语言处理和语音辨识正在赋能对话式商务和更有效率的客户服务管道，从而减少等待时间并提高满意度。

在供应方面，人工智慧驱动的需求预测和库存优化可以减少库存过剩和缺货，并支援动态补货策略。这些功能加强了商品行销、采购和分销之间的协作。从实验到生产的转变需要新的营运模式、供应商生态系统和人才策略。因此，那些能够根据此转变调整管治、数据管道和人才培育的组织将在速度、客户相关性和成本效率方面获得永续的优势。

分析回顾 2025 年美国关税调整将如何改变零售业人工智慧部署的硬体采购、供应商关係和实施经济。

征收关税可能会对硬体采购、供应链设计以及零售业部署人工智慧主导解决方案的经济效益产生连锁反应。美国关税的累积影响将持续到2025年，体现在某些用于摄影机系统、感测器、边缘设备以及店内自动化和分析平台的半导体元件的成本上涨。因此，零售商和解决方案供应商将重新评估筹资策略，扩展其供应商资格认证流程，并考虑本地部署和以云端为中心的架构的整体拥有成本。

为了应对这些成本压力，一些公司正在加速供应商多元化和近岸外包，以减少受关税衝击的进口产品的影响。另一些公司则正在重新谈判合同，纳入通膨调整条款，或寻找符合性能和合规性要求的替代硬体供应商。此外，日益复杂的物流和更长的前置作业时间迫使零售商持有更多关键设备的安全库存，给现金流和库存规划流程带来压力。因此，采购团队必须与IT和商品行销部门更紧密地合作，优先考虑能够带来最高经济和营运回报的部署方案。

此外，关税将影响供应商格局，鼓励小型硬体製造商整合，并提高依赖全球供应链的新参与企业的进入门槛。对于依赖第三方硬体生态系统的软体和分析供应商而言，重点将转向优化其软体以适应更广泛的设备，并最大限度地减少特定硬体的锁定。最后，合规性和文件负担将增加，需要加强供应商管理和风险规避。总而言之，这些动态将重塑零售业的部署时间表、资本配置和弹性人工智慧解决方案的设计。

详细的细分洞察，解释决定零售业人工智慧采用路径和营运要求的产品、技术、应用领域和最终用户类型

以细分主导的理解，能够清楚阐明投资、技术复杂性和组织需求在零售AI应用中所处的交会点。服务包括咨询服务、整合服务以及支援和维护，而软体工具则包括分析平台和预测工具。这种差异凸显了软体驱动功能，而服务则支援整合、变更管理和持续运营，每种服务都需要不同的技能和合约模式。

目录

第一章：前言

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 人工智慧电脑视觉货架监控机器人优化存量基准并减少浪费
  • 由生成式人工智慧驱动的产品推荐引擎提供超个人化的全通路购物体验
  • 由电脑视觉和物联网驱动的无摩擦结帐系统消除了手动扫描和排队。
  • 一个由人工智慧驱动的需求预测平台，将社群媒体情绪与外部宏观经济讯号结合
  • 基于强化学习的供应链编配平台，可即时适应需求波动
  • 由人工智慧人体映射技术提供支援的扩增实境试衣间解决方案提高了消费者对线上服装购买的信心

第六章：2025年美国关税的累积影响

第七章：人工智慧的累积影响，2025年

第八章零售业人工智慧市场（按产品）

  • 服务
    • 咨询服务
    • 整合服务
    • 支援和维护
  • 软体工具
    • 分析平台
    • 预测工具

9. 零售市场人工智慧技术

  • 电脑视觉
    • 脸部辨识
    • 影像处理
    • 物体侦测
  • 机器学习
    • 强化学习
    • 监督学习
    • 无监督学习
  • 自然语言处理
    • 情绪分析
    • 语音辨识
    • 文字分析

第十章零售业人工智慧市场（按应用领域）

  • 客户服务
    • 聊天机器人
    • 互动式语音应答
  • 库存管理
    • 需求预测
    • 库存最佳化
  • 销售和行销
    • 动态定价
    • 建议引擎
  • 店舖管理
    • 自动结帐
    • 货架监控

第 11 章：零售市场中的人工智慧（按最终用户类型）

  • 实体店面
  • 多通路零售商
  • 线上零售商

第十二章 零售市场人工智慧（按地区）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十三章零售业人工智慧市场（按类别）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第十四章 各国零售市场人工智慧

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十五章竞争格局

  • 2024年市占率分析
  • 2024年FPNV定位矩阵
  • 竞争分析
    • Algolia, Inc.
    • Alibaba Group Holding Limited
    • Amazon Web Services, Inc.
    • BloomReach, Inc.
    • Blue Yonder Group, Inc.
    • Bolt Financial, Inc.
    • Caper Inc. by Instacart
    • Cisco Systems, Inc.
    • Cognizant Technology Solutions Corporation
    • Forter, Ltd.
    • Google LLC by Alphabet Inc.
    • H2O.ai, Inc.
    • Huawei Technologies Co., Ltd.
    • Infosys Limited
    • Intel Corporation
    • International Business Machines Corporation
    • Klevu Oy
    • Microsoft Corporation
    • NVIDIA Corporation
    • Oracle Corporation
    • Salesforce, Inc.
    • Samsung Electronics Co., Ltd.
    • SAP SE
    • Shopify Inc.
    • SymphonyAI LLC
    • Talkdesk, Inc.
    • Trigo Vision Ltd.
    • UiPath Inc.
    • ViSenze Pte. Ltd
    • Walmart Inc.
    • Wipro Limited
    • Zebra Technologies Corporation
Product Code: MRR-031BF22F9554

The Artificial Intelligence in Retail Market is projected to grow by USD 56.38 billion at a CAGR of 15.55% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 17.74 billion
Estimated Year [2025] USD 20.38 billion
Forecast Year [2032] USD 56.38 billion
CAGR (%) 15.55%

A strategic primer explaining why artificial intelligence has become mission-critical for modern retailers seeking seamless customer experiences and operational resilience

The retail sector stands at an inflection point where artificial intelligence moves from experimental pilots to core operational capability. Across consumer touchpoints and back-office functions, organizations are deploying AI-enabled systems to increase relevance, reduce friction, and improve cost efficiency. This introduction synthesizes the technological, operational, and commercial drivers that make AI essential for modern retail enterprises.

AI adoption continues to be propelled by faster compute, richer data sources, and maturing software that translates insights into action. Meanwhile, consumer expectations for seamless, personalized experiences pressure retailers to innovate across channels. As a result, AI investments now focus on pragmatic outcomes such as frictionless checkout, inventory accuracy, and marketing effectiveness rather than theoretical use cases. Consequently, multidisciplinary teams that combine retail domain expertise with data science, software engineering, and change management are becoming the decisive factor in turning technology into measurable results.

Given this landscape, decision-makers must align strategy, governance, and operating models to realize AI's potential. This requires clear prioritization of use cases, a repeatable process for scaling pilots, and rigorous change-management practices to embed new workflows. The introduction frames these imperatives and underscores why a cohesive strategy that connects customer experience, operations, and supply chain is fundamental to capturing the full value of AI in retail.

How real-time personalization, advanced computer vision, and integrated supply chain intelligence are redefining retail operations and customer engagement simultaneously

Retail's technological and commercial landscape is undergoing transformative shifts driven by AI innovations that reshape how products are discovered, stocked, and sold. Omnichannel integration, for example, now relies on real-time insights that unify inventory, customer behavior, and logistics to deliver consistent experiences across physical and digital touchpoints. As a result, retailers reengineer processes to support real-time decisioning at scale, which in turn elevates the role of data architecture and edge computing in store environments.

At the customer interface, personalization has evolved from rule-based recommendations to continuous, context-aware interactions that adjust offers, pricing, and content in real time. Meanwhile, computer vision deployments have expanded beyond loss prevention into automated checkout, shelf analytics, and traffic flow optimization, creating a new class of in-store automation. In parallel, natural language processing and speech recognition enable conversational commerce and more efficient customer service channels, reducing wait times and improving satisfaction.

On the supply side, AI-driven demand forecasting and stock optimization reduce overstocks and stockouts while enabling dynamic replenishment strategies. These capabilities drive tighter alignment between merchandising, procurement, and distribution. Transitioning from experiments to production requires new operating models, vendor ecosystems, and talent strategies. Therefore, organizations that adapt their governance, data pipelines, and talent development to these shifts will gain sustainable advantages in speed, customer relevance, and cost efficiency.

An analytical review of how the 2025 United States tariff adjustments are reshaping hardware sourcing, vendor relationships, and deployment economics for retail AI implementations

The imposition of tariffs can ripple across hardware procurement, supply chain design, and the economics of deploying AI-driven solutions in retail. The cumulative impact of United States tariffs implemented in 2025 manifests through higher costs for camera systems, sensors, edge devices, and certain semiconductor components that underpin in-store automation and analytics platforms. Consequently, retailers and solution providers reassess sourcing strategies, extend vendor qualification processes, and examine the total cost of ownership for on-premises versus cloud-centric architectures.

In response to these cost pressures, some organizations accelerate supplier diversification and nearshoring efforts to reduce exposure to tariffed imports. Others renegotiate contracts to include inflation-adjustment clauses or seek alternative hardware suppliers that meet performance and compliance requirements. In addition, increased logistics complexity and extended lead times encourage retailers to hold higher safety stock for critical devices, which can strain cash flow and inventory planning processes. Therefore, procurement teams must work more closely with IT and merchandising to prioritize deployments that deliver the highest economic and operational returns.

Moreover, tariffs influence the vendor landscape by prompting consolidation among smaller hardware manufacturers and by raising barriers to entry for new entrants reliant on global supply chains. For software and analytics vendors that depend on third-party hardware ecosystems, the focus shifts to optimizing software for a broader array of devices and minimizing hardware-specific lock-in. Finally, compliance and documentation burdens grow, requiring stronger vendor management and risk-mitigation practices. Taken together, these dynamics reshape deployment timelines, capital allocation, and the design of resilient AI solutions for retail.

Detailed segmentation insights explaining how offerings, technologies, application domains, and end-user types determine adoption pathways and operational requirements for retail AI

A segmentation-driven understanding clarifies where investments, technical complexity, and organizational requirements converge in retail AI adoption. Based on Offering, market analysis distinguishes between Services and Software Tools; Services encompass consulting services, integration services, and support & maintenance while Software Tools span analytics platforms and predictive tools. This distinction highlights that while software drives capabilities, services enable integration, change management, and sustained operationalization-each requiring distinct skills and contracting models.

Based on Technology, the landscape divides into computer vision, machine learning, and natural language processing. Computer vision includes facial recognition, image processing, and object detection, each offering different accuracy, privacy, and compute trade-offs. Machine learning covers reinforcement learning, supervised learning, and unsupervised learning, with implications for data labeling, model lifecycle management, and experimentation platforms. Natural language processing comprises sentiment analysis, speech recognition, and text analysis, which power chatbots, in-store voice assistants, and customer feedback systems.

Based on Application Area, deployments concentrate in customer service, inventory management, sales and marketing, and store operations. Customer service includes chatbots and interactive voice response that reduce manual touchpoints, while inventory management focuses on demand forecasting and stock optimization to improve fill rates. Sales and marketing leverage dynamic pricing and recommendation engines to increase conversion, and store operations deploy automated checkout and shelf monitoring to lower labor costs and enhance shopper experience. Finally, based on End-User Type, adoption patterns vary across brick-and-mortar stores, multi-channel retailers, and online retailers; each end-user class presents unique integration, compliance, and ROI considerations that influence solution design and rollout sequencing.

Strategic regional differences and infrastructure considerations across the Americas, Europe Middle East & Africa, and Asia-Pacific that critically influence retail AI deployment strategies

Regional dynamics create material differences in regulatory constraints, technical infrastructure, and customer behavior that shape AI strategies. In the Americas, mature cloud ecosystems, high consumer expectations for personalization, and established payments infrastructure support rapid uptake of SaaS analytics platforms and omnichannel integrations. At the same time, privacy concerns and state-level regulations demand rigorous data governance and transparent consent mechanisms to maintain trust and compliance.

In Europe, the Middle East & Africa, regulatory heterogeneity and strong data-protection frameworks influence deployment models, often favoring privacy-preserving architectures and localized data processing. Infrastructure constraints in parts of EMEA encourage hybrid cloud and edge computing strategies to ensure consistent in-store performance. Meanwhile, logistics complexity across regional markets places a premium on AI-driven inventory and distribution optimization to manage cross-border fulfillment.

In the Asia-Pacific region, mobile-first consumer behavior, high adoption of cashless payments, and rapid retail innovation drive unique use cases such as integrated social commerce, frictionless checkout, and ubiquitous computer vision deployments. Supply chain proximity to major hardware manufacturers also affects cost dynamics and accelerates prototype-to-production cycles. Consequently, regional teams must tailor technology selection, partnership models, and go-to-market approaches to local competitive conditions, regulatory expectations, and infrastructure realities.

How platform vendors, integrators, startups, and incumbent technology providers are positioning themselves to drive adoption through interoperability, services, and specialized innovations

Competitive dynamics in the retail AI ecosystem reflect a mix of platform providers, systems integrators, specialist startups, and incumbent retail technology vendors, each playing distinct roles in solution delivery. Platform providers focus on end-to-end stacks that prioritize scalability and standardized integrations, whereas systems integrators differentiate through domain expertise, custom integrations, and program management capabilities that translate technical capability into operational outcomes.

Specialist startups frequently innovate in narrow but high-impact domains such as real-time video analytics, demand-sensing algorithms, or conversational agents, which makes them attractive partners for pilots and proof-of-concept projects. Incumbent retail technology vendors leverage existing relationships with large retailers to bundle AI capabilities into broader merchandising, POS, and ERP suites. In addition, consulting organizations and managed-service providers are critical to bridging capability gaps by offering change-management frameworks, training programs, and operational support that enable technology adoption at scale.

Across the vendor landscape, successful companies emphasize interoperability, clear APIs, and modular architectures to reduce integration friction and avoid long-term lock-in. They also invest in domain-specific datasets and model libraries to speed time-to-value. Furthermore, go-to-market strategies increasingly combine product innovation with services-led engagements to deliver measurable business outcomes and to build recurring revenue streams tied to operational performance.

Pragmatic, high-impact recommendations for retail executives to prioritize use cases, design modular systems, manage supplier risk, and scale AI responsibly and efficiently

Leaders must take decisive, practical steps to translate AI potential into operational advantage. First, prioritize use cases that directly improve customer experience or reduce operational costs and that can be instrumented with existing data to accelerate time-to-impact. By contrast, deprioritize overly ambitious projects that lack clear KPIs or cross-functional sponsorship. Second, design modular architectures that separate sensing, edge compute, data transport, and analytics so that individual components can be upgraded without full redesign.

Next, diversify hardware suppliers and build contractual protections against supply-chain disruptions and tariff-driven cost increases. Concurrently, strengthen vendor management and require transparent components sourcing to anticipate escalation in lead times or costs. Invest in data governance and privacy-by-design to manage regulatory risk and to retain consumer trust, ensuring that consent mechanisms and anonymization techniques are embedded within data pipelines. In addition, commit to workforce transformation by upskilling frontline operations, data engineering, and analytics teams to operate and maintain AI systems effectively.

Finally, adopt a repeatable scaling playbook that codifies lessons from pilots, standardizes testing and validation, and specifies monitoring and retraining cadences. Use cross-functional governance to align stakeholders across merchandising, IT, legal, and store operations, and implement clear success metrics that connect AI outcomes to revenue, margins, or customer satisfaction. These pragmatic actions will help organizations capture tangible value while managing the complexity of enterprise AI adoption.

A rigorous mixed-methods research approach combining primary executive interviews, technical literature review, and scenario validation to underpin actionable conclusions

This research employed a mixed-methods approach combining primary inquiries with secondary synthesis to create a robust view of AI in retail. Primary research included structured interviews with senior retail executives, IT leaders, solution architects, and technology suppliers to capture real-world deployment experiences, procurement considerations, and operational constraints. These conversations focused on technical architecture decisions, integration challenges, data governance practices, and the measurable outcomes associated with deployed solutions.

Secondary analysis reviewed publicly available technology literature, vendor technical documentation, academic research on machine learning and computer vision, and anonymized case studies from retail deployments. The methodology emphasized triangulation across sources to validate recurring patterns and to identify anomalies that warrant deeper investigation. In addition, the research team analyzed implementation pathways across different retail segments and regional markets to surface scalable patterns and context-specific adjustments.

To ensure rigor, findings underwent peer review by independent domain experts and were stress-tested against multiple deployment scenarios. Throughout, the methodology prioritized transparency in assumptions, repeatability of protocols for pilot evaluation, and documentation of risk factors such as supply-chain sensitivity and regulatory complexity. The result is an evidence-based framework that supports decision-makers in evaluating technology choices and operational readiness for AI adoption in retail.

A concise synthesis of the strategic imperatives and risk management priorities that determine which retailers will convert AI pilots into sustainable operational advantage

The trajectory of AI in retail is clear: technologies that improve relevance, speed, and efficiency will become table stakes across customer-facing and operational domains. Organizations that integrate AI into core processes rather than treating it as a series of isolated experiments will achieve disproportionate benefits. In particular, success hinges on aligning data architectures, talent, vendor ecosystems, and governance to enable continual model improvement and resilient operations.

At the same time, realistic risk management matters. Tariff changes, hardware availability, and evolving regulation present tangible constraints that can slow rollouts or increase costs. Therefore, prudent planning, diversified sourcing, and privacy-first design are essential complements to technical innovation. Moreover, the human element-operational training, change management, and clear accountability for outcomes-often determines whether a promising pilot becomes a productive, scaled capability.

In closing, retail organizations face a strategic imperative to act: those that align technology investments with rigorous execution frameworks, supplier resilience strategies, and customer-centric metrics will lead the next wave of industry transformation. By balancing innovation with operational discipline, retailers can realize the promise of AI while managing risks to preserve margins and customer trust.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. AI-driven computer vision shelf monitoring robots optimizing inventory levels and reducing waste
  • 5.2. Generative AI-powered product recommendation engines delivering hyperpersonalized omnichannel shopping journeys
  • 5.3. Computer vision and IoT-enabled frictionless checkout systems eliminating manual scanning and queues
  • 5.4. AI-driven demand forecasting platforms integrating social media sentiment and external macroeconomic signals
  • 5.5. Reinforcement learning based supply chain orchestration platforms adapting in real time to demand volatility
  • 5.6. Augmented reality fitting room solutions using AI body mapping to enhance online apparel purchasing confidence

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Retail Market, by Offering

  • 8.1. Services
    • 8.1.1. Consulting Services
    • 8.1.2. Integration Services
    • 8.1.3. Support & Maintenance
  • 8.2. Software Tools
    • 8.2.1. Analytics Platforms
    • 8.2.2. Predictive Tools

9. Artificial Intelligence in Retail Market, by Technology

  • 9.1. Computer Vision
    • 9.1.1. Facial Recognition
    • 9.1.2. Image Processing
    • 9.1.3. Object Detection
  • 9.2. Machine Learning
    • 9.2.1. Reinforcement Learning
    • 9.2.2. Supervised Learning
    • 9.2.3. Unsupervised Learning
  • 9.3. Natural Language Processing
    • 9.3.1. Sentiment Analysis
    • 9.3.2. Speech Recognition
    • 9.3.3. Text Analysis

10. Artificial Intelligence in Retail Market, by Application Area

  • 10.1. Customer Service
    • 10.1.1. Chatbots
    • 10.1.2. Interactive Voice Response
  • 10.2. Inventory Management
    • 10.2.1. Demand Forecasting
    • 10.2.2. Stock Optimization
  • 10.3. Sales and Marketing
    • 10.3.1. Dynamic Pricing
    • 10.3.2. Recommendation Engines
  • 10.4. Store Operations
    • 10.4.1. Automated Checkout
    • 10.4.2. Shelf Monitoring

11. Artificial Intelligence in Retail Market, by End-User Type

  • 11.1. Brick-And-Mortar Stores
  • 11.2. Multi-Channel Retailers
  • 11.3. Online Retailers

12. Artificial Intelligence in Retail Market, by Region

  • 12.1. Americas
    • 12.1.1. North America
    • 12.1.2. Latin America
  • 12.2. Europe, Middle East & Africa
    • 12.2.1. Europe
    • 12.2.2. Middle East
    • 12.2.3. Africa
  • 12.3. Asia-Pacific

13. Artificial Intelligence in Retail Market, by Group

  • 13.1. ASEAN
  • 13.2. GCC
  • 13.3. European Union
  • 13.4. BRICS
  • 13.5. G7
  • 13.6. NATO

14. Artificial Intelligence in Retail Market, by Country

  • 14.1. United States
  • 14.2. Canada
  • 14.3. Mexico
  • 14.4. Brazil
  • 14.5. United Kingdom
  • 14.6. Germany
  • 14.7. France
  • 14.8. Russia
  • 14.9. Italy
  • 14.10. Spain
  • 14.11. China
  • 14.12. India
  • 14.13. Japan
  • 14.14. Australia
  • 14.15. South Korea

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Analysis
    • 15.3.1. Algolia, Inc.
    • 15.3.2. Alibaba Group Holding Limited
    • 15.3.3. Amazon Web Services, Inc.
    • 15.3.4. BloomReach, Inc.
    • 15.3.5. Blue Yonder Group, Inc.
    • 15.3.6. Bolt Financial, Inc.
    • 15.3.7. Caper Inc. by Instacart
    • 15.3.8. Cisco Systems, Inc.
    • 15.3.9. Cognizant Technology Solutions Corporation
    • 15.3.10. Forter, Ltd.
    • 15.3.11. Google LLC by Alphabet Inc.
    • 15.3.12. H2O.ai, Inc.
    • 15.3.13. Huawei Technologies Co., Ltd.
    • 15.3.14. Infosys Limited
    • 15.3.15. Intel Corporation
    • 15.3.16. International Business Machines Corporation
    • 15.3.17. Klevu Oy
    • 15.3.18. Microsoft Corporation
    • 15.3.19. NVIDIA Corporation
    • 15.3.20. Oracle Corporation
    • 15.3.21. Salesforce, Inc.
    • 15.3.22. Samsung Electronics Co., Ltd.
    • 15.3.23. SAP SE
    • 15.3.24. Shopify Inc.
    • 15.3.25. SymphonyAI LLC
    • 15.3.26. Talkdesk, Inc.
    • 15.3.27. Trigo Vision Ltd.
    • 15.3.28. UiPath Inc.
    • 15.3.29. ViSenze Pte. Ltd
    • 15.3.30. Walmart Inc.
    • 15.3.31. Wipro Limited
    • 15.3.32. Zebra Technologies Corporation

LIST OF FIGURES

  • FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 11. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. EUROPE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. AFRICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASEAN ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GCC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. BRICS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. G7 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. NATO ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 28. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CONSULTING SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTEGRATION SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPPORT & MAINTENANCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ANALYTICS PLATFORMS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY PREDICTIVE TOOLS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY FACIAL RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY IMAGE PROCESSING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OBJECT DETECTION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REINFORCEMENT LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUPERVISED LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY UNSUPERVISED LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SENTIMENT ANALYSIS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SPEECH RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 127. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 128. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 129. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 130. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 131. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 132. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TEXT ANALYSIS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 133. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2024 (USD MILLION)
  • TABLE 134. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2025-2032 (USD MILLION)
  • TABLE 135. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2024 (USD MILLION)
  • TABLE 136. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2025-2032 (USD MILLION)
  • TABLE 137. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 138. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 139. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 140. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 141. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 142. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 143. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 144. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 146. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 147. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 148. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CHATBOTS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 149. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 150. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 151. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 152. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 153. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 154. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INTERACTIVE VOICE RESPONSE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 155. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 156. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2025-2032 (USD MILLION)
  • TABLE 157. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 158. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 159. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 160. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 161. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 162. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 163. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 164. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 165. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 166. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 167. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 168. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEMAND FORECASTING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 169. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 170. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 171. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 172. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 174. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STOCK OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 175. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2024 (USD MILLION)
  • TABLE 176. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2025-2032 (USD MILLION)
  • TABLE 177. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 178. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 179. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 180. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 181. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 182. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 183. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 184. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 185. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 186. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 187. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 188. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DYNAMIC PRICING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 189. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 190. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 191. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 192. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 193. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 194. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY RECOMMENDATION ENGINES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 195. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2024 (USD MILLION)
  • TABLE 196. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2025-2032 (USD MILLION)
  • TABLE 197. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 198. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 199. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 200. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 201. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 202. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 203. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 204. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 205. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 206. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 207. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 208. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY AUTOMATED CHECKOUT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 209. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 210. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 211. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 212. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 213. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 214. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SHELF MONITORING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2024 (USD MILLION)
  • TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2025-2032 (USD MILLION)
  • TABLE 217. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 218. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 219. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 220. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 221. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 222. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY BRICK-AND-MORTAR STORES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 223. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 224. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 225. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 226. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 227. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 228. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MULTI-CHANNEL RETAILERS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 229. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 230. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 231. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 232. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 233. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 234. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY ONLINE RETAILERS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 235. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 236. GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 237. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 238. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 239. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 240. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 241. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 242. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 243. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2024 (USD MILLION)
  • TABLE 244. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2025-2032 (USD MILLION)
  • TABLE 245. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 246. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 247. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2024 (USD MILLION)
  • TABLE 248. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2025-2032 (USD MILLION)
  • TABLE 249. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 250. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 251. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2024 (USD MILLION)
  • TABLE 252. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2025-2032 (USD MILLION)
  • TABLE 253. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2018-2024 (USD MILLION)
  • TABLE 254. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION AREA, 2025-2032 (USD MILLION)
  • TABLE 255. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2018-2024 (USD MILLION)
  • TABLE 256. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY CUSTOMER SERVICE, 2025-2032 (USD MILLION)
  • TABLE 257. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 258. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY INVENTORY MANAGEMENT, 2025-2032 (USD MILLION)
  • TABLE 259. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2018-2024 (USD MILLION)
  • TABLE 260. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SALES AND MARKETING, 2025-2032 (USD MILLION)
  • TABLE 261. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2018-2024 (USD MILLION)
  • TABLE 262. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STORE OPERATIONS, 2025-2032 (USD MILLION)
  • TABLE 263. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2018-2024 (USD MILLION)
  • TABLE 264. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY END-USER TYPE, 2025-2032 (USD MILLION)
  • TABLE 265. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 266. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 267. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 268. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 269. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 270. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 271. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2018-2024 (USD MILLION)
  • TABLE 272. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOFTWARE TOOLS, 2025-2032 (USD MILLION)
  • TABLE 273. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 274. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
  • TABLE 275. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2018-2024 (USD MILLION)
  • TABLE 276. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COMPUTER VISION, 2025-2032 (USD MILLION)

TABL