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封面
市场调查报告书
商品编码
1744969

全球商业人工智慧市场

Artificial Intelligence in Commerce
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 220 Pages | 商品交期: 最快1-2个工作天内

价格

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简介目录

预计到 2030 年全球商业人工智慧市场规模将达到 74 亿美元

全球商业人工智慧市场规模预计在2024年为33亿美元，预计到2030年将达到74亿美元，2024年至2030年的复合年增长率为14.6%。作为报告分析的细分市场之一，电子商务平台预计将实现16.0%的复合年增长率，并在分析期结束时达到55亿美元。店内平台细分市场在分析期间的复合年增长率预计为10.9%。

美国市场规模估计为 8.633 亿美元，中国市场预计复合年增长率为 13.6%

美国商业人工智慧市场规模预计在2024年达到8.633亿美元。预计到2030年，作为世界第二大经济体的中国市场规模将达到11亿美元，在2024-2030年的分析期间内，复合年增长率为13.6%。其他值得关注的区域市场包括日本和加拿大，预计在分析期间内，这两个市场的复合年增长率分别为13.6%和12.4%。在欧洲，预计德国市场的复合年增长率为10.5%。

全球商业人工智慧市场—主要趋势与驱动因素摘要

为什么人工智慧正在透过超个人化、自动化和即时智慧重塑商业

人工智慧 (AI) 正在改变全球商业格局，透过在数位和实体零售生态系统中实现更智慧、更快捷、更个人化的互动。从动态定价和需求预测，到客户旅程编配和库存优化，AI 赋能企业从海量结构化和非结构化资料中获得切实可行的洞察。随着全通路零售和直销 (D2C) 模式的规模发展，AI 正成为企业实现竞争差异化、营运敏捷性和利润成长的核心。

个人化是人工智慧在商业领域最突出、最具影响力的应用之一。零售商和电商平台正在利用机器学习 (ML) 演算法分析客户行为、偏好和购买历史，从而即时产生客製化产品推荐、个人化促销和量身定制的购物体验。这些功能不仅可以提高转换率和购物量，还能透过在网页、行动装置和店内介面上创建情境感知互动来提升顾客忠诚度。

人工智慧也正在自动化一些耗时的流程，例如产品标记、诈骗侦测、聊天机器人支援和供应链再平衡。自然语言处理 (NLP) 和电脑视觉工具用于简化编目、审核公平性和语音商务，而机器人流程自动化 (RPA) 则减轻了后勤部门业务的负担。在实体零售店，人工智慧视讯分析和物联网感测器可实现即时货架监控、消费者热点图和损失预防。这些功能的结合推动了从交易型商务转向智慧、响应式商务生态系统的转变。

预测分析、生成式人工智慧和零售媒体的整合如何扩大人工智慧在商业中的范围？

人工智慧预测分析使零售商能够预测客户需求、优化存量基准，并更精准地改善定价策略。人工智慧模型能够分析历史销售业绩数据、季节性、促销週期和宏观经济讯号，从而预测需求并为采购、分配和降价决策提供资讯。这种预见性可以减少库存过剩、缺货和降价，从而直接提高库存管理的盈利和永续性。

生成式人工智慧正成为内容创作、客户参与和产品探索领域的变革性力量。零售商正在采用人工智慧工具自动产生产品描述、图片、影片内容、广告文案和虚拟试穿体验，从而大幅缩短产品上市时间并减少对创新资源的依赖。基于大型语言模型 (LLM) 的聊天机器人和虚拟助理正在透过处理复杂的咨询、促进产品教育以及以类似人类的对话引导购买决策，从而增强售前和售后支援。

零售媒体网路 (RMN) 利用人工智慧 (AI) 在电商平台内外推动精准广告投放。透过将 AI 与第一方数据结合，品牌可以向高意图消费者投放相关广告，优化竞标策略，并即时衡量宣传活动成效。 AI 支援闭合迴路归因、跨通路再行销和动态创新优化，使零售媒体成为高投资报酬率的成长引擎。随着品牌将广告预算转移到零售商自有平台，AI 已成为在整个数位商务生态系统中释放收益机会的关键。

哪些商业领域和全球市场正在引领人工智慧在商业领域的应用？

电商平台和直销 (D2C) 品牌处于人工智慧应用的前沿，它们利用智慧工具实现无摩擦购物、优化客户获取并实现自动化履约。大型全通路零售商正在采用人工智慧整合线上线下体验，使用预测分析和个人化引擎来统一数位商店、行动应用和实体店之间的互动。订阅模式和市场也正在利用人工智慧，透过客户流失预测、提升销售和留存策略来提升终身价值。

时尚、消费性电子产品和杂货零售是最先进的细分市场之一，因为它们依赖动态定价、海量库存单位 (SKU) 和以体验为中心的互动。在时尚领域，人工智慧工具可以实现趋势预测、尺寸预测和视觉搜寻；而在杂货领域，人工智慧工具则支援即时补货、自动拣选和情境化促销。奢侈品牌正在采用人工智慧来实现个人化的客户互动、诈欺侦测以及与品牌声誉相符的身临其境型故事叙述。

纵观各地区，北美和西欧凭藉其先进的数位基础设施、高电商渗透率和强大的投资生态系统，在人工智慧成熟度方面处于领先地位。亚太地区（尤其是中国、韩国和日本）正快速扩张，这得益于行动优先的消费者、超级应用生态系统以及人工智慧主导的零售创新。在拉丁美洲、中东和非洲，金融科技与零售业的融合、行动商务的成长以及对数位市场的投资正在刺激人工智慧的采用。随着人工智慧逐渐融入核心零售业务，全球零售商正在加速建立跨职能人工智慧卓越中心，以维持创新和规模化发展。

道德人工智慧、资料管治和人工智慧即服务模式如何影响市场策略？

随着人工智慧在商业领域的应用不断扩展，围绕演算法公平性、资料隐私和消费者信任的担忧正在重塑部署策略。零售商必须确保在人工智慧决策中以合乎道德的方式使用消费者数据，同时遵守《一般资料保护条例。为了维护品牌声誉并降低合规风险，可解释性、透明度和同意管理正在融入人工智慧模型和使用者介面中。

人工智慧即服务 (AIaaS) 模式透过提供模组化、云端託管且基于 API 整合的人工智慧工具，降低了中小型零售商的进入门槛。此类平台允许用户无需丰富的内部专业知识即可存取建议引擎、客户流失预测工具和基于视觉的结帐解决方案等功能。越来越多的 AIaaS 供应商将咨询、培训和模型管治功能捆绑在一起，以帮助客户在保留营运控制权的同时加快实施速度。

零售商、云端服务供应商、行销技术平台和人工智慧新兴企业之间的策略伙伴关係正在推动大规模创新。这些联盟支援共同开发专有演算法、联合品牌客户体验以及生态系统特定的人工智慧工具。随着竞争加剧，差异化正在从单纯的人工智慧能力转向如何在整个客户旅程中有效部署、管理和收益。

哪些因素正在推动AI商务市场的成长？

商业人工智慧市场正经历强劲成长，这得益于不断增长的客户期望、数据主导的经营模式以及对大规模业务效率的需求。关键成长动力包括个人化、自动化、动态定价、视觉搜寻和内容创作——所有这些驱动因素都能在竞争日益激烈的环境中提高投资回报率并提升品牌体验。

随着人工智慧能力的成熟，零售商正从实验性试点阶段迈向全面的企业部署。即时分析、产生工具和人工智慧赋能的商务平台正在重塑产品发现、体验交付和价值创造的方式。随着人工智慧与边缘运算、5G 和物联网的融合，其在智慧零售、无人收银和身临其境型购物环境等领域的影响将更加深远。

展望未来，人工智慧在商业领域的发展轨迹将取决于企业如何在技术进步与道德责任、成本扩充性和人性化的体验设计之间取得平衡。随着人工智慧从后端优化转向前端参与，它能否成为智慧、主动且引发情感共鸣的商业的决定性驱动力？

部分

平台（电子商务、店内）；技术（深度学习、机器学习、NLP、其他技术）；应用程式（客户关係管理、供应链分析、虚假评论分析、商品行销、仓库自动化、产品推荐、车队管理、其他应用程式）；最终用途（零售、电子、物流、食品和饮料、其他最终用途）

受访企业范例（共42家）

  • Adobe Inc.
  • Alibaba Group
  • Amazon Web Services
  • Assiduus Global Inc
  • Bloomreach
  • C3.ai
  • Commerce.AI
  • Conversable
  • DataRobot
  • eBay Inc.
  • Empower AI
  • Facebook（Meta Platforms）
  • Flipkart
  • Google LLC
  • IBM Corporation
  • JD.com
  • Microsoft Corporation
  • Novomind AG
  • Oracle Corporation
  • Salesforce.com Inc.

关税影响係数

全球产业分析师根据公司总部所在国家、製造地、进出口（成品和原始OEM）来预测其竞争地位的变化。这种复杂且多面向的市场动态预计将以多种方式影响竞争对手，包括人为提高销货成本、盈利下降、供应链重组以及其他微观和宏观市场动态。

全球产业分析师密切关注来自全球顶尖首席经济学家（14,949位）、智库（62家）以及贸易和产业协会（171家）的专家的意见，以评估其对生态系统的影响并应对新的市场现实。我们追踪了来自每个主要国家的专家和经济学家对关税及其对本国影响的看法。

全球产业分析师预计，这场动盪将在未来2-3个月内逐渐平息，新的世界秩序将更加清晰地建立。全球产业分析师正在即时追踪这些事态发展。

2025年4月：谈判阶段

在4月的报告中，我们将探讨关税对全球整体市场的影响，并提供区域市场调整。我们的预测是基于历史数据和不断变化的市场影响因素。

2025年7月：最终关税调整

在各国宣布最终重置后，客户将在 7 月收到免费更新，最终更新将包含明确的关税影响分析。

相互和双边贸易及关税影响分析：

美国<>中国<>墨西哥<>加拿大<>欧盟<>日本<>印度<>其他176个国家

领先的产业经济学家：全球产业分析师知识库追踪了 14,949 位经济学家，其中包括来自民族国家、智库、贸易和产业协会、大型企业以及各领域专家的最具影响力的首席经济学家，他们共用了这场前所未有的全球经济状况模式转移的影响。我们超过 16,491 份报告大多遵循基于里程碑的两阶段发布计划。

目录

第一章调查方法

第二章执行摘要

  • 市场概览
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 竞赛

简介目录
Product Code: MCP34626

Global Artificial Intelligence in Commerce Market to Reach US$7.4 Billion by 2030

The global market for Artificial Intelligence in Commerce estimated at US$3.3 Billion in the year 2024, is expected to reach US$7.4 Billion by 2030, growing at a CAGR of 14.6% over the analysis period 2024-2030. E-Commerce Platform, one of the segments analyzed in the report, is expected to record a 16.0% CAGR and reach US$5.5 Billion by the end of the analysis period. Growth in the In Store Platform segment is estimated at 10.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$863.3 Million While China is Forecast to Grow at 13.6% CAGR

The Artificial Intelligence in Commerce market in the U.S. is estimated at US$863.3 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$1.1 Billion by the year 2030 trailing a CAGR of 13.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 13.6% and 12.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 10.5% CAGR.

Global Artificial Intelligence in Commerce Market - Key Trends & Drivers Summarized

Why Is Artificial Intelligence Reshaping Commerce Through Hyperpersonalization, Automation, and Real-Time Intelligence?

Artificial Intelligence (AI) is transforming the global commerce landscape by enabling smarter, faster, and more personalized interactions across both digital and physical retail ecosystems. From dynamic pricing and demand forecasting to customer journey orchestration and inventory optimization, AI empowers businesses to extract actionable insights from massive volumes of structured and unstructured data. As omnichannel retail and direct-to-consumer (D2C) models scale, AI is becoming central to competitive differentiation, operational agility, and margin expansion.

Personalization stands as one of the most visible and impactful applications of AI in commerce. Retailers and e-commerce platforms leverage machine learning (ML) algorithms to analyze customer behavior, preferences, and purchase history to generate tailored product recommendations, personalized promotions, and curated shopping experiences in real time. These capabilities not only increase conversion rates and basket sizes but also enhance customer loyalty by creating context-aware engagement across web, mobile, and in-store interfaces.

AI is also automating time-intensive processes such as product tagging, fraud detection, chatbot support, and supply chain rebalancing. Natural language processing (NLP) and computer vision tools are used to streamline catalog creation, review moderation, and voice commerce, while robotic process automation (RPA) reduces manual back-office workloads. In physical retail, AI-powered video analytics and IoT sensors enable real-time shelf monitoring, shopper heatmapping, and loss prevention. Collectively, these capabilities are driving a shift from transactional commerce to intelligent, responsive commerce ecosystems.

How Are Predictive Analytics, Generative AI, and Retail Media Integration Expanding the Scope of AI in Commerce?

Predictive analytics powered by AI is enabling retailers to anticipate customer needs, optimize inventory levels, and enhance pricing strategies with greater precision. AI models analyze historical sales data, seasonality, promotional cycles, and macroeconomic signals to forecast demand and inform procurement, allocation, and markdown decisions. This foresight helps reduce overstocking, stockouts, and discounting, directly improving profitability and sustainability in inventory management.

Generative AI is emerging as a transformative layer in content creation, customer engagement, and product discovery. Retailers are deploying AI tools to automatically generate product descriptions, images, video content, ad copy, and virtual try-on experiences-dramatically reducing time-to-market and creative resource dependency. Chatbots and virtual assistants powered by large language models (LLMs) are enhancing pre-sale and post-sale support by handling complex queries, facilitating product education, and guiding purchase decisions with human-like interactions.

Retail media networks (RMNs) are leveraging AI to drive targeted advertising within e-commerce platforms and beyond. By integrating AI with first-party data, brands can serve hyper-relevant ads to high-intent consumers, optimize bidding strategies, and measure campaign performance in real time. AI enables closed-loop attribution, cross-channel retargeting, and dynamic creative optimization-making retail media a high-ROI growth engine. As brands shift ad budgets toward retailer-owned platforms, AI becomes critical to unlocking monetization opportunities across digital commerce ecosystems.

Which Commercial Segments and Global Markets Are Leading AI Adoption in Commerce?

E-commerce platforms and direct-to-consumer (D2C) brands are at the forefront of AI adoption, using intelligent tools to deliver frictionless shopping, optimize customer acquisition, and automate fulfillment. Large omnichannel retailers are deploying AI to integrate online and offline experiences, using predictive analytics and personalization engines to unify engagement across digital storefronts, mobile apps, and brick-and-mortar locations. Subscription-based models and marketplaces are also leveraging AI to drive lifetime value through churn prediction, upselling, and retention strategies.

Fashion, consumer electronics, and grocery retail are among the most advanced segments, given their reliance on dynamic pricing, high SKU volumes, and experience-centric engagement. In fashion, AI tools enable trend forecasting, size prediction, and visual search; in grocery, they support real-time replenishment, automated picking, and contextual promotions. Luxury brands are adopting AI to deliver personalized clienteling, fraud detection, and immersive storytelling that aligns with brand prestige.

Regionally, North America and Western Europe lead in AI maturity due to advanced digital infrastructure, high e-commerce penetration, and strong investment ecosystems. Asia-Pacific-particularly China, South Korea, and Japan-is scaling rapidly, driven by mobile-first consumers, super-app ecosystems, and AI-led retail innovation. In Latin America, the Middle East, and Africa, AI adoption is being fueled by fintech-retail convergence, mobile commerce growth, and investments in digital marketplaces. As AI becomes embedded in core retail operations, global retailers are increasingly building cross-functional AI centers of excellence to sustain innovation and scale.

How Are Ethical AI, Data Governance, and AI-as-a-Service Models Shaping Market Strategy?

As AI adoption deepens across commerce, concerns around algorithmic fairness, data privacy, and consumer trust are reshaping implementation strategies. Retailers must navigate regional data protection regulations such as GDPR and CCPA while ensuring ethical use of consumer data in AI decision-making. Explainability, transparency, and consent management are being embedded into AI models and user interfaces to safeguard brand reputation and mitigate compliance risks.

AI-as-a-Service (AIaaS) models are lowering entry barriers for mid-market and niche retailers by offering modular, cloud-hosted AI tools with API-based integration. These platforms allow users to access capabilities such as recommendation engines, churn predictors, or vision-based checkout solutions without extensive in-house expertise. AIaaS providers are increasingly bundling consulting, training, and model governance features to help clients accelerate implementation while maintaining operational control.

Strategic partnerships between retailers, cloud providers, martech platforms, and AI startups are enabling innovation at scale. These alliances support joint development of proprietary algorithms, co-branded customer experiences, and ecosystem-specific AI tools. As competitive intensity rises, differentiation is shifting from AI capabilities alone to how effectively they are deployed, governed, and monetized across the full customer journey.

What Are the Factors Driving Growth in the AI in Commerce Market?

The AI in commerce market is experiencing robust growth, underpinned by rising customer expectations, data-driven business models, and the need for operational efficiency at scale. Core growth drivers include personalization, automation, dynamic pricing, visual search, and content creation-all of which improve ROI and elevate brand experience in increasingly competitive environments.

As AI capabilities mature, retailers are moving from experimental pilots to full-scale enterprise deployments. Real-time analytics, generative tools, and AI-augmented commerce platforms are reshaping how products are discovered, experiences are delivered, and value is created. The convergence of AI with edge computing, 5G, and IoT will further deepen its impact in areas such as smart retail, cashier-less checkout, and immersive shopping environments.

Looking forward, the trajectory of AI in commerce will depend on how well enterprises balance technological advancement with ethical responsibility, cost scalability, and human-centric experience design. As AI transitions from back-end optimization to front-end engagement, could it become the defining driver of intelligent, anticipatory, and emotionally resonant commerce?

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence in Commerce market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Platform (E-Commerce, In Store); Technology (Deep Learning, Machine Learning, NLP, Other Technologies); Application (Customer Relationship Management, Supply Chain Analysis, Fake Review Analysis, Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications); End-Use (Retail, Electronics, Logistics, Food & Beverages, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 42 Featured) -

  • Adobe Inc.
  • Alibaba Group
  • Amazon Web Services
  • Assiduus Global Inc
  • Bloomreach
  • C3.ai
  • Commerce.AI
  • Conversable
  • DataRobot
  • eBay Inc.
  • Empower AI
  • Facebook (Meta Platforms)
  • Flipkart
  • Google LLC
  • IBM Corporation
  • JD.com
  • Microsoft Corporation
  • Novomind AG
  • Oracle Corporation
  • Salesforce.com Inc.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Artificial Intelligence in Commerce - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Pressure to Enhance Customer Experience Throws the Spotlight on AI in E-Commerce and Retail
    • Growth in Personalization Engines Spurs Adoption of AI-Driven Recommendation and Search Optimization
    • Expansion of Conversational AI and Virtual Assistants Strengthens Front-End Commerce Interactions
    • OEM Integration of Predictive Analytics Supports Dynamic Pricing and Inventory Optimization
    • Adoption of Computer Vision in Shelf Monitoring and Visual Merchandising Improves In-Store Intelligence
    • AI-Enabled Fraud Detection and Behavioral Analytics Enhance Transaction Security and Customer Trust
    • Use of Generative AI in Product Descriptions and Reviews Bodes Well for Scalable Content Creation
    • Growth in Voice Commerce and Smart Assistant Integration Supports Seamless Shopping Experiences
    • Demand for Omnichannel and Hyperlocal Fulfillment Strategies Drives AI in Logistics and Last-Mile Management
    • AI-Powered Demand Forecasting Tools Support Better Procurement and Supply Chain Responsiveness
    • Surge in Augmented Reality Shopping Experiences Enhances Visual Engagement Through AI Integration
    • Retailer Focus on Loyalty and Retention Analytics Drives Long-Term Use of AI Customer Modeling
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence in Commerce Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence in Commerce by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for E-Commerce by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for E-Commerce by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for In Store by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for In Store by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Merchandising by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Merchandising by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Warehouse Automation by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Warehouse Automation by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Product Recommendation by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Product Recommendation by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Fleet Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Fleet Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Customer Relationship Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Customer Relationship Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Supply Chain Analysis by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Supply Chain Analysis by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Fake Review Analysis by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Fake Review Analysis by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Retail by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Retail by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Electronics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Electronics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Logistics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Logistics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 30: World Recent Past, Current & Future Analysis for Food & Beverages by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 31: World 6-Year Perspective for Food & Beverages by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 32: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 33: World 6-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 34: World Recent Past, Current & Future Analysis for Deep Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 35: World 6-Year Perspective for Deep Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 36: World Recent Past, Current & Future Analysis for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 37: World 6-Year Perspective for Machine Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 38: World Recent Past, Current & Future Analysis for NLP by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 39: World 6-Year Perspective for NLP by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 40: World Recent Past, Current & Future Analysis for Other Technologies by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 41: World 6-Year Perspective for Other Technologies by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 42: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: USA 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 44: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: USA 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 46: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: USA 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 48: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: USA 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • CANADA
    • TABLE 50: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Canada 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 52: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Canada 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 54: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Canada 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 56: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Canada 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 58: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Japan 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 60: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Japan 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 62: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Japan 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 64: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Japan 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 66: China Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: China 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 68: China Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: China 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 70: China Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: China 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 72: China Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: China 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 74: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 75: Europe 6-Year Perspective for Artificial Intelligence in Commerce by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 76: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Europe 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 78: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Europe 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 80: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Europe 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 82: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Europe 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 84: France Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: France 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 86: France Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: France 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 88: France Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: France 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 90: France Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: France 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 92: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Germany 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 94: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Germany 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 96: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Germany 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 98: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Germany 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • ITALY
    • TABLE 100: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Italy 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 102: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Italy 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 104: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 105: Italy 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 106: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 107: Italy 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 108: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 109: UK 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 110: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 111: UK 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 112: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 113: UK 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 114: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 115: UK 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 116: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Rest of Europe 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 118: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 119: Rest of Europe 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 120: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 121: Rest of Europe 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 122: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Rest of Europe 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence in Commerce Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 124: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 125: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 126: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 127: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 128: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 129: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 130: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 131: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 132: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Platform - E-Commerce and In Store - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 133: Rest of World 6-Year Perspective for Artificial Intelligence in Commerce by Platform - Percentage Breakdown of Value Sales for E-Commerce and In Store for the Years 2025 & 2030
    • TABLE 134: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Application - Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 135: Rest of World 6-Year Perspective for Artificial Intelligence in Commerce by Application - Percentage Breakdown of Value Sales for Merchandising, Warehouse Automation, Product Recommendation, Fleet Management, Other Applications, Customer Relationship Management, Supply Chain Analysis and Fake Review Analysis for the Years 2025 & 2030
    • TABLE 136: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by End-Use - Retail, Electronics, Logistics, Food & Beverages and Other End-Uses - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 137: Rest of World 6-Year Perspective for Artificial Intelligence in Commerce by End-Use - Percentage Breakdown of Value Sales for Retail, Electronics, Logistics, Food & Beverages and Other End-Uses for the Years 2025 & 2030
    • TABLE 138: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Commerce by Technology - Deep Learning, Machine Learning, NLP and Other Technologies - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 139: Rest of World 6-Year Perspective for Artificial Intelligence in Commerce by Technology - Percentage Breakdown of Value Sales for Deep Learning, Machine Learning, NLP and Other Technologies for the Years 2025 & 2030

IV. COMPETITION