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市場調查報告書
商品編碼
1744969

全球商業人工智慧市場

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個工作天內

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簡介目錄

預計到 2030 年全球商業人工智慧市場規模將達到 74 億美元

全球商業人工智慧市場規模預計在2024年為33億美元，預計到2030年將達到74億美元，2024年至2030年的複合年成長率為14.6%。作為報告分析的細分市場之一，電子商務平台預計將實現16.0%的複合年成長率，並在分析期結束時達到55億美元。店內平台細分市場在分析期間的複合年成長率預計為10.9%。

美國市場規模估計為 8.633 億美元，中國市場預計複合年成長率為 13.6%

美國商業人工智慧市場規模預計在2024年達到8.633億美元。預計到2030年，作為世界第二大經濟體的中國市場規模將達到11億美元，在2024-2030年的分析期間內，複合年成長率為13.6%。其他值得關注的區域市場包括日本和加拿大，預計在分析期間內，這兩個市場的複合年成長率分別為13.6%和12.4%。在歐洲，預計德國市場的複合年成長率為10.5%。

全球商業人工智慧市場—主要趨勢與促進因素摘要

為什麼人工智慧正在透過超個人化、自動化和即時智慧重塑商業

人工智慧 (AI) 正在改變全球商業格局，透過在數位和實體零售生態系統中實現更智慧、更快捷、更個人化的互動。從動態定價和需求預測，到客戶旅程編配和庫存最佳化，AI 賦能企業從海量結構化和非結構化資料中獲得切實可行的洞察。隨著全通路零售和直銷 (D2C) 模式的規模發展，AI 正成為企業實現競爭差異化、營運敏捷性和利潤成長的核心。

個人化是人工智慧在商業領域最突出、最具影響力的應用之一。零售商和電商平台正在利用機器學習 (ML) 演算法分析客戶行為、偏好和購買歷史，從而即時產生客製化產品推薦、個人化促銷和量身定做的購物體驗。這些功能不僅可以提高轉換率和購物量，還能透過在網頁、行動裝置和店內介面上創建情境感知互動來提升顧客忠誠度。

人工智慧也正在自動化一些耗時的流程，例如產品標記、詐騙偵測、聊天機器人支援和供應鏈再平衡。自然語言處理 (NLP) 和電腦視覺工具用於簡化編目、審核公平性和語音商務，而機器人流程自動化 (RPA) 則減輕了後勤部門業務的負擔。在實體零售店，人工智慧視訊分析和物聯網感測器可實現即時貨架監控、消費者熱點圖和損失預防。這些功能的結合推動了從交易型商務轉向智慧、響應式商務生態系統的轉變。

預測分析、生成式人工智慧和零售媒體的整合如何擴大人工智慧在商業中的範圍？

人工智慧預測分析使零售商能夠預測客戶需求、最佳化存量基準，並更精準地改善定價策略。人工智慧模型能夠分析歷史銷售業績數據、季節性、促銷週期和宏觀經濟訊號，從而預測需求並為採購、分配和降價決策提供資訊。這種預見性可以減少庫存過剩、缺貨和降價，從而直接提高庫存管理的盈利和永續性。

生成式人工智慧正成為內容創作、客戶參與和產品探索領域的變革性力量。零售商正在採用人工智慧工具自動產生產品描述、圖片、影片內容、廣告文案和虛擬試穿體驗，從而大幅縮短產品上市時間並減少對創新資源的依賴。基於大型語言模型 (LLM) 的聊天機器人和虛擬助理正在透過處理複雜的諮詢、促進產品教育以及以類似人類的對話引導購買決策，從而增強售前和售後支援。

零售媒體網路 (RMN) 利用人工智慧 (AI) 在電商平台內外推動精準廣告投放。透過將 AI 與第一方數據結合，品牌可以向高意圖消費者投放相關廣告，最佳化競標策略，並即時衡量宣傳活動成效。 AI 支援閉合迴路歸因、跨通路再行銷和動態創新最佳化，使零售媒體成為高投資報酬率的成長引擎。隨著品牌將廣告預算轉移到零售商自有平台，AI 已成為在整個數位商務生態系統中釋放收益機會的關鍵。

哪些商業領域和全球市場正在引領人工智慧在商業領域的應用？

電商平台和直銷 (D2C) 品牌處於人工智慧應用的前沿，它們利用智慧工具實現無摩擦購物、最佳化客戶獲取並實現自動化履約。大型全通路零售商正在採用人工智慧整合線上線下體驗，使用預測分析和個人化引擎來統一數位商店、行動應用和實體店之間的互動。訂閱模式和市場也正在利用人工智慧，透過客戶流失預測、提升銷售和留存策略來提升終身價值。

時尚、消費性電子產品和雜貨零售是最先進的細分市場之一，因為它們依賴動態定價、海量庫存單位 (SKU) 和以體驗為中心的互動。在時尚領域，人工智慧工具可以實現趨勢預測、尺寸預測和視覺搜尋；而在雜貨領域，人工智慧工具則支援即時補貨、自動揀選和情境化促銷。奢侈品牌正在採用人工智慧來實現個人化的客戶互動、詐欺偵測以及與品牌聲譽相符的身臨其境型故事敘述。

縱觀各地區，北美和西歐憑藉其先進的數位基礎設施、高電商滲透率和強大的投資生態系統，在人工智慧成熟度方面處於領先地位。亞太地區（尤其是中國、韓國和日本）正快速擴張，這得益於行動優先的消費者、超級應用生態系統以及人工智慧主導的零售創新。在拉丁美洲、中東和非洲，金融科技與零售業的融合、行動商務的成長以及對數位市場的投資正在刺激人工智慧的採用。隨著人工智慧逐漸融入核心零售業務，全球零售商正在加速建立跨職能人工智慧卓越中心，以維持創新和規模化發展。

道德人工智慧、資料管治和人工智慧即服務模式如何影響市場策略？

隨著人工智慧在商業領域的應用不斷擴展，圍繞演算法公平性、資料隱私和消費者信任的擔憂正在重塑部署策略。零售商必須確保在人工智慧決策中以合乎道德的方式使用消費者數據，同時遵守《一般資料保護條例。為了維護品牌聲譽並降低合規風險，可解釋性、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。

人工智慧即服務 (AIaaS) 模式透過提供模組化、雲端託管且基於 API 整合的人工智慧工具，降低了中小型零售商的進入門檻。此類平台允許用戶無需豐富的內部專業知識即可存取建議引擎、客戶流失預測工具和基於視覺的結帳解決方案等功能。越來越多的 AIaaS 供應商將諮詢、培訓和模型管治功能捆綁在一起，以幫助客戶在保留營運控制權的同時加快實施速度。

零售商、雲端服務供應商、行銷技術平台和人工智慧新興企業之間的策略夥伴關係正在推動大規模創新。這些聯盟支援共同開發專有演算法、聯合品牌客戶體驗以及生態系統特定的人工智慧工具。隨著競爭加劇，差異化正在從單純的人工智慧能力轉向如何在整個客戶旅程中有效部署、管理和收益。

哪些因素正在推動AI商務市場的成長？

商業人工智慧市場正經歷強勁成長，這得益於不斷成長的客戶期望、數據主導的經營模式以及對大規模業務效率的需求。關鍵成長動力包括個人化、自動化、動態定價、視覺搜尋和內容創作——所有這些促進因素都能在競爭日益激烈的環境中提高投資回報率並提升品牌體驗。

隨著人工智慧能力的成熟，零售商正從實驗性試點階段邁向全面的企業部署。即時分析、產生工具和人工智慧賦能的商務平台正在重塑產品發現、體驗交付和價值創造的方式。隨著人工智慧與邊緣運算、5G 和物聯網的融合，其在智慧零售、無人收銀和身臨其境型購物環境等領域的影響將更加深遠。

展望未來，人工智慧在商業領域的發展軌跡將取決於企業如何在技術進步與道德責任、成本擴充性和人性化的體驗設計之間取得平衡。隨著人工智慧從後端最佳化轉向前端參與，它能否成為智慧、主動且引發情感共鳴的商業的決定性驅動力？

部分

平台（電子商務、店內）；技術（深度學習、機器學習、NLP、其他技術）；應用程式（客戶關係管理、供應鏈分析、虛假評論分析、商品行銷、倉庫自動化、產品推薦、車隊管理、其他應用程式）；最終用途（零售、電子、物流、食品和飲料、其他最終用途）

受訪企業範例（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.

關稅影響係數

全球產業分析師根據公司總部所在國家、製造地、進出口（成品和原始OEM）來預測其競爭地位的變化。這種複雜且多面向的市場動態預計將以多種方式影響競爭對手，包括人為提高銷貨成本、盈利下降、供應鏈重組以及其他微觀和宏觀市場動態。

全球產業分析師密切關注來自全球頂尖首席經濟學家（14,949位）、智庫（62家）以及貿易和產業協會（171家）的專家的意見，以評估其對生態系統的影響並應對新的市場現實。我們追蹤了來自每個主要國家的專家和經濟學家對關稅及其對本國影響的看法。

全球產業分析師預計，這場動盪將在未來2-3個月內逐漸平息，新的世界秩序將更加清晰地建立。全球產業分析師正在即時追蹤這些事態發展。

2025年4月：談判階段

在4月的報告中，我們將探討關稅對全球整體市場的影響，並提供區域市場調整。我們的預測是基於歷史數據和不斷變化的市場影響因素。

2025年7月：最終關稅調整

在各國宣布最終重置後，客戶將在 7 月收到免費更新，最終更新將包含明確的關稅影響分析。

相互和雙邊貿易及關稅影響分析：

美國<>中國<>墨西哥<>加拿大<>歐盟<>日本<>印度<>其他176個國家

領先的產業經濟學家：全球產業分析師知識庫追蹤了 14,949 位經濟學家，其中包括來自民族國家、智庫、貿易和產業協會、大型企業以及各領域專家的最具影響力的首席經濟學家，他們共用了這場前所未有的全球經濟狀況模式轉移的影響。我們超過 16,491 份報告大多遵循基於里程碑的兩階段發布計劃。

目錄

第1章調查方法

第2章執行摘要

  • 市場概覽
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 競賽

簡介目錄
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.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA <> CHINA <> MEXICO <> CANADA <> EU <> JAPAN <> INDIA <> 176 OTHER COUNTRIES.

Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.

COMPLIMENTARY PREVIEW

Contact your sales agent to request an online 300+ page complimentary preview of this research project. Our preview will present full stack sources, and validated domain expert data transcripts. Deep dive into our interactive data-driven online platform.

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