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商業における人工知能の世界市場

Artificial Intelligence in Commerce

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ページ情報
英文 220 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.08円
商業における人工知能の世界市場
出版日: 2025年06月06日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 220 Pages
納期: 即日から翌営業日
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概要

商業における人工知能の世界市場は2030年までに74億米ドルに達する見込み

2024年に33億米ドルと推定される商業における人工知能の世界市場は、2024年から2030年にかけてCAGR 14.6%で成長し、2030年には74億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるeコマースプラットフォームは、CAGR16.0%を記録し、分析期間終了時には55億米ドルに達すると予測されます。インストア・プラットフォームセグメントの成長率は、分析期間中CAGR 10.9%と推定されます。

米国市場は8億6,330万米ドルと推定、中国はCAGR13.6％で成長予測

米国の商業における人工知能市場は、2024年に8億6,330万米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに11億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは13.6%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ13.6%と12.4%と予測されています。欧州では、ドイツがCAGR 10.5%で成長すると予測されています。

世界の商業における人工知能市場- 主要動向と促進要因まとめ

なぜ人工知能はハイパーパーソナライゼーション、自動化、リアルタイムインテリジェンスを通じて商取引を再構築するのか？

人工知能（AI）は、デジタルおよび物理的な小売エコシステム全体にわたって、よりスマートで、より迅速で、よりパーソナライズされたインタラクションを可能にすることで、世界なコマースの展望を変革しています。ダイナミックな価格設定や需要予測から、カスタマージャーニーのオーケストレーションや在庫の最適化まで、AIは膨大な量の構造化・非構造化データから実用的な知見を引き出す力をビジネスに与えます。オムニチャネル小売や消費者直販（D2C）モデルの規模が拡大するにつれ、AIは競争力の差別化、オペレーションの俊敏性、利益率の拡大にとって中心的な存在になりつつあります。

パーソナライゼーションは、コマースにおけるAIの最も顕著でインパクトのあるアプリケーションの1つです。小売業者やeコマース・プラットフォームは、機械学習（ML）アルゴリズムを活用して顧客の行動、嗜好、購入履歴を分析し、オーダーメイドの推奨商品、パーソナライズされたプロモーション、カスタマイズされたショッピング体験をリアルタイムで生成しています。これらの機能は、コンバージョン率やバスケットサイズを向上させるだけでなく、ウェブ、モバイル、店舗内のインターフェイスにわたってコンテキストを意識したエンゲージメントを生み出すことで、顧客ロイヤルティを高める。

AIはまた、商品タグ付け、不正検出、チャットボットサポート、サプライチェーンのリバランシングなど、時間のかかるプロセスを自動化しています。自然言語処理（NLP）やコンピュータ・ビジョンのツールは、カタログ作成、レビューの適正化、ボイス・コマースの合理化に使用され、ロボティック・プロセス・オートメーション（RPA）は手作業によるバックオフィス業務の負荷を軽減します。実店舗の小売業では、AIを活用したビデオ分析とIoTセンサーが、リアルタイムの棚監視、買い物客のヒートマッピング、紛失防止を可能にしています。これらの機能を組み合わせることで、トランザクション・コマースからインテリジェントで応答性の高いコマース・エコシステムへのシフトが促進されます。

予測分析、ジェネレーティブAI、リテールメディアの統合は、コマースにおけるAIの範囲をどのように拡大しているのか？

AIを活用した予測分析により、小売業者は顧客のニーズを予測し、在庫レベルを最適化し、価格戦略をより正確に強化することができます。AIモデルは、過去の売上実績データ、季節性、販促サイクル、マクロ経済シグナルを分析して需要を予測し、調達、配分、マークダウンの意思決定に役立てる。この先見性により、過剰在庫、在庫切れ、値引きを削減し、在庫管理における収益性と持続可能性を直接的に向上させることができます。

ジェネレーティブAIは、コンテンツ作成、顧客エンゲージメント、商品ディスカバリーにおいて変革をもたらすレイヤーとして台頭してきています。小売企業は、商品説明、画像、動画コンテンツ、広告コピー、バーチャル試着体験を自動生成するAIツールを導入し、市場投入までの時間とクリエイティブ・リソースへの依存を劇的に削減しています。大規模言語モデル（LLM）を搭載したチャットボットやバーチャルアシスタントは、複雑な問い合わせに対応し、製品教育を促進し、人間のような対話で購入決定を導くことで、販売前および販売後のサポートを強化しています。

リテール・メディア・ネットワーク（RMN）はAIを活用し、eコマース・プラットフォーム内外でターゲット広告を推進しています。AIをファーストパーティデータと統合することで、ブランドはハイインテントな消費者に関連性の高い広告を配信し、入札戦略を最適化し、キャンペーンのパフォーマンスをリアルタイムで測定することができます。AIは、クローズドループのアトリビューション、クロスチャネルのリターゲティング、ダイナミックなクリエイティブの最適化を可能にし、リテールメディアをROIの高い成長エンジンにします。ブランドの広告予算が小売企業が所有するプラットフォームにシフトする中、AIはデジタルコマースのエコシステム全体で収益化の機会を引き出すために不可欠となっています。

コマースにおけるAI導入をリードしている商業セグメントと世界市場とは？

eコマース・プラットフォームと消費者直販（D2C）ブランドはAI導入の最前線にあり、インテリジェントなツールを使って摩擦のないショッピングを実現し、顧客獲得を最適化し、フルフィルメントを自動化しています。大規模なオムニチャネル小売企業は、オンラインとオフラインの体験を統合するためにAIを導入しており、予測分析とパーソナライゼーション・エンジンを使用して、デジタル店頭、モバイルアプリ、実店舗でのエンゲージメントを統一しています。サブスクリプション型モデルやマーケットプレースも、AIを活用して解約予測、アップセル、リテンション戦略を通じて生涯価値を高めています。

ファッション、家電、食料品小売は、ダイナミックな価格設定、大量のSKU、体験中心のエンゲージメントに依存していることから、最も先進的なセグメントの一つです。ファッションでは、AIツールがトレンド予測、サイズ予測、ビジュアル検索を可能にし、食料品では、リアルタイム補充、自動ピッキング、コンテクスチュアル・プロモーションをサポートしています。ラグジュアリーブランドは、パーソナライズされた顧客対応、不正検知、ブランドの威信に沿った没入型のストーリーテリングを実現するためにAIを導入しています。

地域別では、北米と西欧が、高度なデジタルインフラ、高いeコマース普及率、強力な投資エコシステムにより、AIの成熟度でリードしています。アジア太平洋（特に中国、韓国、日本）は、モバイル・ファーストの消費者、スーパー・アプリのエコシステム、AI主導の小売イノベーションに牽引され、急速に拡大しています。ラテンアメリカ、中東・アフリカでは、フィンテックと小売の融合、モバイルコマースの成長、デジタルマーケットプレースへの投資がAIの導入に拍車をかけています。AIが中核的な小売業務に組み込まれるにつれて、世界小売企業はイノベーションと規模拡大を維持するために、部門横断的なAIセンター・オブ・エクセレンスを構築する動きが加速しています。

倫理的AI、データガバナンス、AI-as-a-Serviceモデルはどのように市場戦略を形成しているのか？

AIの導入が商取引全体に広がるにつれ、アルゴリズムの公正さ、データプライバシー、消費者の信頼をめぐる懸念が導入戦略を再構築しています。小売企業は、GDPRやCCPAといった地域のデータ保護規制をナビゲートしながら、AIの意思決定における消費者データの倫理的利用を確保しなければならないです。ブランドの評判を守り、コンプライアンス・リスクを軽減するために、説明可能性、透明性、同意管理がAIモデルやユーザー・インターフェースに組み込まれています。

AI-as-a-Service（AIaaS）モデルは、APIベースの統合を備えたモジュール式のクラウドホスト型AIツールを提供することで、中堅・中小小売企業の参入障壁を低くしています。このようなプラットフォームを利用することで、ユーザーは社内に豊富な専門知識がなくても、レコメンデーション・エンジン、解約予測ツール、ビジョンベースのチェックアウト・ソリューションなどの機能を利用することができます。AIaaSプロバイダーは、コンサルティング、トレーニング、モデルガバナンス機能をバンドルすることで、顧客が運用管理を維持しながら実装を加速できるよう支援するようになってきています。

小売企業、クラウド・プロバイダー、マーテク・プラットフォーム、AI新興企業間の戦略的パートナーシップは、スケールの大きなイノベーションを可能にしています。これらの提携は、独自のアルゴリズム、共同ブランドの顧客体験、エコシステムに特化したAIツールの共同開発をサポートしています。競争の激化に伴い、差別化はAIの能力のみから、カスタマージャーニー全体にわたっていかに効果的に展開し、管理し、収益化するかに移行しつつあります。

AIコマース市場の成長を促進する要因とは？

コマースにおけるAI市場は、顧客の期待の高まり、データ主導のビジネスモデル、規模に応じた業務効率の必要性に支えられ、力強い成長を遂げています。主な成長促進要因には、パーソナライゼーション、自動化、ダイナミックプライシング、ビジュアル検索、コンテンツ作成などがあり、これらはすべてROIを向上させ、競合環境が激化する中でブランド体験を高めるものです。

AI機能の成熟に伴い、小売企業は実験的なパイロットから本格的な企業展開へと移行しつつあります。リアルタイム・アナリティクス、ジェネレーティブ・ツール、AIを活用したコマース・プラットフォームは、商品の発見、体験の提供、価値の創造方法を再構築しています。AIがエッジコンピューティング、5G、IoTと融合することで、スマートリテール、レジなしレジ、没入型ショッピング環境などの分野でその影響はさらに深まると思われます。

今後、コマースにおけるAIの軌跡は、企業が技術的進歩と倫理的責任、コスト拡張性、人間中心のエクスペリエンス・デザインのバランスをいかに取るかにかかっています。AIがバックエンドの最適化からフロントエンドのエンゲージメントへと移行するにつれて、AIはインテリジェントで先見性があり、感情に響くコマースの決定的な原動力となり得るだろうか。

セグメント

プラットフォーム（eコマース、店舗内）;テクノロジー（ディープラーニング、機械学習、NLP、その他テクノロジー）;用途（顧客関係管理、サプライチェーン分析、フェイクレビュー分析、マーチャンダイジング、倉庫自動化、商品推奨、フリート管理、その他用途）;最終用途（小売、エレクトロニクス、物流、飲食品、その他最終用途）

調査対象企業の例（全42件）

  • 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.

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、人為的な売上原価の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

Global Industry Analystsは、世界の主要なチーフ・エコノミスト（1万4,949人）、シンクタンク（62団体）、貿易・産業団体（171団体）の専門家の意見に熱心に従いながら、エコシステムへの影響を評価し、新たな市場の現実に対処しています。あらゆる主要国の専門家やエコノミストが、関税とそれが自国に与える影響についての意見を追跡調査しています。

Global Industry Analystsは、この混乱が今後2-3ヶ月で収束し、新しい世界秩序がより明確に確立されると予想しています。Global Industry Analystsは、これらの開発をリアルタイムで追跡しています。

2025年4月：交渉フェーズ

4月のリリースでは、世界市場全体に対する関税の影響を取り上げ、地域別の市場調整について紹介します。当社の予測は、過去のデータと進化する市場影響要因に基づいています。

2025年7月：最終関税リセット

お客様には、各国間で最終リセットが発表された後、7月に無料アップデート版をお届けします。最終アップデート版には、明確に定義された関税影響分析が組み込まれています。

相互および二国間貿易と関税の影響分析：

アメリカ <>中国<>メキシコ <>カナダ <>EU <>日本<>インド <>その他176カ国

業界をリードするエコノミスト：Global Industry Analystsの知識ベースは、国家、シンクタンク、貿易・業界団体、大企業、そして世界の計量経済状況におけるこの前例のないパラダイムシフトの影響を共有する領域の専門家など、最も影響力のあるチーフエコノミストを含む1万4,949人のエコノミストを追跡しています。当社の16,491を超えるレポートのほとんどは、マイルストーンに基づくこの2段階のリリーススケジュールを取り入れています。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
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