サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1644197

ロジスティクスにおける生成的人工知能の世界市場

Generative Artificial Intelligence in Logistics

出版日
ページ情報
英文 130 Pages
納期
即日から翌営業日
適宜更新あり
価格
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=150.05円
ロジスティクスにおける生成的人工知能の世界市場
出版日: 2025年01月27日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 130 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

ロジスティクスにおける生成的人工知能の世界市場は2030年までに70億米ドルに達する見込み

2024年に13億米ドルと推定されるロジスティクスにおける生成的人工知能の世界市場は、分析期間2024年から2030年にかけてCAGR 32.5％で成長し、2030年には70億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つである物流ジェネレーティブAIソリューションは、CAGR34.5%を記録し、分析期間終了までに42億米ドルに達すると予測されます。ロジスティクスジェネレーティブAIソフトウェア分野の成長率は、分析期間でCAGR 29.9%と推定されます。

米国市場は3億4,130万米ドルと推定、中国はCAGR 30.7％で成長すると予測

米国のロジスティクスにおける生成的人工知能市場は、2024年に3億4,130万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30.7%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30.0％と28.0％と予測されています。欧州では、ドイツがCAGR約22.4%で成長すると予測されています。

世界のロジスティクスにおける生成的人工知能市場- 主要動向と促進要因まとめ

ジェネレーティブAIはどのようにロジスティクス業務を再定義しているのか？

ジェネレーティブ人工知能は、サプライチェーン全体の効率性、正確性、意思決定を強化する革新的な手法を導入することで、ロジスティクスを変革しています。従来のロジスティクス・システムは、手作業による監視と断片化されたプロセスに依存しているため、非効率、遅延、高コストに悩まされることが多いです。ジェネレーティブAIは、予測分析、高度なモデリング、リアルタイムのデータ処理を活用し、物流業務の各段階を最適化することで、こうした課題に対処します。この技術により、企業は需要を予測し、在庫管理を合理化し、リソースをダイナミックな市場ニーズに合わせることで運用コストを最小限に抑えることができます。将来のシナリオをシミュレートし予測するAIの能力により、ロジスティクス・プロバイダーは天候の変化、供給不足、地政学的緊張などの潜在的な混乱に積極的に対応することができます。

こうした進歩に加え、生成的AIはリアルタイムの交通データ、天気予報、燃料消費パターンを分析することで、ルート最適化と車両管理を改善しています。これにより、より迅速な配送を実現すると同時に、排出量と資源使用量の削減を通じて環境への影響を軽減することができます。倉庫の自動化もAIが大きな影響を及ぼしている重要な分野であり、より迅速な仕分け、梱包、配送プロセスを可能にしています。これらの機能により、ジェネレーティブAIはロジスティクスにおける効率性と信頼性の新たなベンチマークを設定しつつあります。

なぜ企業は物流にジェネレーティブAIを急速に導入しているのか？

ロジスティクスにおけるジェネレーティブAIの急速な採用は、コスト削減、業務効率化、顧客満足度の向上を通じて測定可能な価値を提供する能力に起因しています。企業は、車両や機械などの資産の予知保全を改善するためにジェネレーティブAIを活用しています。IoTセンサーや過去のメンテナンス記録からのデータを分析することで、AIは潜在的な機器の故障を事前に特定し、コストのかかるダウンタイムや混乱を防ぐことができます。このプロアクティブなアプローチは、重要なインフラの寿命を延ばし、運用リスクを最小限に抑えます。

ダイナミック・プライシングもまた、ジェネレーティブAIが大きな影響を及ぼしている分野です。需給動向、競合戦略、市場状況をリアルタイムで分析することで、ロジスティクス・プロバイダーは収益と競争力を最大化するために価格モデルを調整することができます。さらに、ジェネレーティブAIは、オーダーメイドの配送オプションやリアルタイムの出荷状況の更新など、超パーソナライズされたサービスを通じて顧客エンゲージメントを強化します。これらの機能は、顧客ロイヤルティを高めるだけでなく、競争の激しい市場でビジネスを差別化します。企業は、ジェネレーティブAIを、直接的な業務改善と長期的なイノベーションの両方を推進する戦略的投資と見なすようになってきています。

ジェネレーティブAIは世界・サプライチェーンの課題克服にどう役立つのか？

世界のロジスティクス部門は、パンデミック、地政学的紛争、気候変動によるサプライチェーンの混乱など、かつてない課題に直面しています。ジェネレーティブAIは、こうした課題に対する重要なソリューションとして台頭してきており、不確実な時代における回復力と適応力を提供しています。AI主導のシステムは、潜在的なディスラプションを幅広くシミュレートできるため、企業は不測の事態に備えた計画を準備し、それに応じてサプライ・チェーン・ネットワークを最適化できます。これにより、ロジスティクス・プロバイダーは悪条件下でもオペレーションを維持し、遅延を減らし、顧客の信頼を維持することができます。

さらに、ロジスティクスでは持続可能性が重要な焦点となりつつあり、ジェネレーティブAIはこれらの目標を達成する上で重要な役割を果たしています。ルートを最適化し、燃料消費を削減し、積載計画を改善することで、AI主導のロジスティクス・ソリューションはカーボンフットプリントを大幅に削減します。ブロックチェーンとAIの統合も重要な動向で、サプライチェーン全体の透明性と説明責任を強化しています。これにより、製品が倫理的に調達され、取り扱われることが保証され、環境的・社会的に責任あるロジスティクス慣行に対する需要の高まりに応えることができます。これらの進歩は、ジェネレイティブAIが当面の業務上の課題に対処するだけでなく、ロジスティクス業界の長期的な変革をも推進していることを示しています。

ロジスティクス市場におけるジェネレーティブAIの成長の原動力とは？

ロジスティクスにおける生成的人工知能市場の成長は、自動化需要の増加、eコマース活動の活発化、コスト効率が高く持続可能なロジスティクス・ソリューションの必要性など、いくつかの要因によってもたらされています。IoTデバイスの普及とAIシステムとの統合により、リアルタイムの追跡、モニタリング、予測分析が可能になり、サプライチェーンの可視性と意思決定が大幅に改善されます。オンライン小売の拡大と、迅速で信頼性の高い配送への期待が、ラストワンマイル・ロジスティクスを強化するためのジェネレーティブAIの採用にさらに拍車をかけています。

消費者行動を分析し、配送ソリューションをカスタマイズするジェネレーティブAIの能力も、その普及に大きな役割を果たしています。ロジスティクス・プロバイダーはAIを活用してサービスをパーソナライズし、顧客維持を向上させ、急速に進化する市場の需要に応えています。さらに、政府のイニシアチブとAIインフラへの投資は、物流におけるデジタルトランスフォーメーションへの注目の高まりとともに、市場の成長を加速させています。これらの要因は総体的に、物流の未来を形成する上でジェネレーティブAIの不可欠な役割を浮き彫りにし、ますます複雑化する競合情勢の中でビジネスを成功させることを可能にしています。

セグメント

コンポーネント（ロジスティクス・ソリューション、ロジスティクス・ソフトウェア）、デプロイメント（クラウドベース・デプロイメント、オンプレミス・デプロイメント）

調査対象企業の例（全34件）

  • Accenture Plc
  • Blue Yonder Group, Inc.
  • C.H. Robinson Worldwide, Inc.
  • Cognizant Technology Solutions Corporation
  • Coupa Software Inc.
  • Epicor Software Corporation
  • FourKites
  • IBM Corporation
  • Intel Corporation
  • LeewayHertz

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: MCP31171

Global Generative Artificial Intelligence in Logistics Market to Reach US$7.0 Billion by 2030

The global market for Generative Artificial Intelligence in Logistics estimated at US$1.3 Billion in the year 2024, is expected to reach US$7.0 Billion by 2030, growing at a CAGR of 32.5% over the analysis period 2024-2030. Logistics Generative AI Solutions, one of the segments analyzed in the report, is expected to record a 34.5% CAGR and reach US$4.2 Billion by the end of the analysis period. Growth in the Logistics Generative AI Software segment is estimated at 29.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$341.3 Million While China is Forecast to Grow at 30.7% CAGR

The Generative Artificial Intelligence in Logistics market in the U.S. is estimated at US$341.3 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 30.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 30.0% and 28.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 22.4% CAGR.

Global Generative Artificial Intelligence in Logistics Market – Key Trends & Drivers Summarized

How Is Generative AI Redefining Logistics Operations?

Generative Artificial Intelligence is transforming logistics by introducing innovative methods to enhance efficiency, accuracy, and decision-making across the supply chain. Traditional logistics systems often suffer from inefficiencies, delays, and high costs due to their dependence on manual oversight and fragmented processes. Generative AI addresses these challenges by utilizing predictive analytics, advanced modeling, and real-time data processing to optimize every stage of logistics operations. This technology enables companies to forecast demand, streamline inventory management, and minimize operational costs by aligning resources with dynamic market needs. AI’s ability to simulate and predict future scenarios allows logistics providers to respond proactively to potential disruptions, such as weather changes, supply shortages, or geopolitical tensions.

In addition to these advancements, generative AI is improving route optimization and fleet management by analyzing real-time traffic data, weather forecasts, and fuel consumption patterns. This ensures faster deliveries while reducing environmental impact through lower emissions and resource use. Warehouse automation is another critical area where AI is making a significant impact, enabling faster sorting, packing, and delivery processes. With these capabilities, generative AI is setting a new benchmark for efficiency and reliability in logistics.

Why Are Businesses Rapidly Adopting Generative AI in Logistics?

The rapid adoption of generative AI in logistics can be attributed to its ability to deliver measurable value through cost savings, operational efficiency, and enhanced customer satisfaction. Businesses are leveraging generative AI to improve predictive maintenance of their assets, such as vehicles and machinery. By analyzing data from IoT sensors and historical maintenance records, AI can identify potential equipment failures before they occur, preventing costly downtimes and disruptions. This proactive approach extends the lifespan of critical infrastructure and minimizes operational risks.

Dynamic pricing is another area where generative AI is making a significant impact. By analyzing supply-demand trends, competitor strategies, and market conditions in real time, logistics providers can adjust their pricing models to maximize revenue and competitiveness. Additionally, generative AI enhances customer engagement through hyper-personalized services, such as tailored delivery options and real-time shipment updates. These capabilities not only boost customer loyalty but also differentiate businesses in a highly competitive market. Companies are increasingly viewing generative AI as a strategic investment that drives both immediate operational improvements and long-term innovation.

How Does Generative AI Help Overcome Global Supply Chain Challenges?

The global logistics sector has faced unprecedented challenges, including supply chain disruptions caused by pandemics, geopolitical conflicts, and climate change. Generative AI is emerging as a critical solution to these challenges, offering resilience and adaptability in uncertain times. AI-driven systems can simulate a wide range of potential disruptions, allowing companies to prepare contingency plans and optimize supply chain networks accordingly. This ensures that logistics providers can maintain operations even under adverse conditions, reducing delays and maintaining customer trust.

Moreover, sustainability is becoming a key focus in logistics, and generative AI plays a vital role in achieving these goals. By optimizing routes, reducing fuel consumption, and improving load planning, AI-driven logistics solutions significantly lower carbon footprints. Blockchain integration with AI is another important trend, enhancing transparency and accountability across the supply chain. This ensures that products are sourced and handled ethically, meeting the growing demand for environmentally and socially responsible logistics practices. Together, these advancements demonstrate how generative AI is not only addressing immediate operational challenges but also driving the long-term transformation of the logistics industry.

What Is Driving the Growth of Generative AI in the Logistics Market?

The growth in the Generative Artificial Intelligence in Logistics market is driven by several factors, including the increasing demand for automation, rising e-commerce activity, and the need for cost-efficient and sustainable logistics solutions. The proliferation of IoT devices and their integration with AI systems enable real-time tracking, monitoring, and predictive analytics, significantly improving supply chain visibility and decision-making. The expansion of online retail and the expectation of fast, reliable deliveries have further fueled the adoption of generative AI to enhance last-mile logistics.

Generative AI’s ability to analyze consumer behavior and tailor delivery solutions has also played a significant role in its widespread adoption. Logistics providers are leveraging AI to personalize services, improve customer retention, and meet the demands of a rapidly evolving market. Additionally, government initiatives and investments in AI infrastructure, along with the growing focus on digital transformation in logistics, are accelerating market growth. These factors collectively highlight the indispensable role of generative AI in shaping the future of logistics, enabling businesses to thrive in an increasingly complex and competitive landscape.

SCOPE OF STUDY:

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

Segments:

Component (Logistics Solutions, Logistics Software); Deployment (Cloud-based Deployment, On-Premise Deployment)

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 34 Featured) -

  • Accenture Plc
  • Blue Yonder Group, Inc.
  • C.H. Robinson Worldwide, Inc.
  • Cognizant Technology Solutions Corporation
  • Coupa Software Inc.
  • Epicor Software Corporation
  • FourKites
  • IBM Corporation
  • Intel Corporation
  • LeewayHertz

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Generative Artificial Intelligence in Logistics - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Generative AI Spurs Growth in Supply Chain Optimization and Predictive Logistics
    • Expansion of AI-Powered Demand Forecasting Broadens Addressable Market for Logistics Providers
    • Increased Adoption of Autonomous Vehicles Propels Integration of AI in Last-Mile Delivery
    • AI-Driven Route Optimization Drives Cost Efficiency in Freight Transportation
    • Generative AI Strengthens the Business Case for Real-Time Shipment Tracking Solutions
    • AI-Based Inventory Management Systems Enhance Operational Efficiency Across Warehousing
    • Integration with IoT Devices Sustains Growth in Smart Logistics Networks
    • AI-Powered Risk Management Tools Propel Adoption in Freight and Cargo Operations
    • Generative AI Addresses Labor Shortages by Enabling Automation in Key Logistics Functions
    • AI Innovations Expand Opportunities in Cross-Border Logistics and Customs Processing
    • Data Security and Privacy Concerns Challenge Widespread Adoption of AI in Logistics
    • AI-Enhanced Customer Engagement Tools Drive Transformation in Delivery Experience
    • Generative AI Creates New Frontiers in Sustainability with Eco-Friendly Logistics Solutions
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Generative Artificial Intelligence in Logistics Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Generative Artificial Intelligence in Logistics 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 Logistics Solutions by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Logistics Solutions 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 Logistics Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Logistics Software 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 Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Cloud-based Deployment 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 On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for On-Premise Deployment 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
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 12: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 13: USA 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 14: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 15: USA 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • CANADA
    • TABLE 16: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 17: Canada 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 18: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 19: Canada 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • JAPAN
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 20: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 21: Japan 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 22: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 23: Japan 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • CHINA
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 24: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 25: China 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 26: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 27: China 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • EUROPE
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 28: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 29: Europe 6-Year Perspective for Generative Artificial Intelligence in Logistics by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 30: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 31: Europe 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 32: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Europe 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • FRANCE
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 34: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 35: France 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 36: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 37: France 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • GERMANY
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 38: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Germany 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 40: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Germany 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • ITALY
    • TABLE 42: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Italy 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 44: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Italy 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • UNITED KINGDOM
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 46: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 47: UK 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 48: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 49: UK 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 50: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Rest of Europe 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 52: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Rest of Europe 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Generative Artificial Intelligence in Logistics Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 54: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Asia-Pacific 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 56: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Asia-Pacific 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 58: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Component - Logistics Solutions and Logistics Software - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Rest of World 6-Year Perspective for Generative Artificial Intelligence in Logistics by Component - Percentage Breakdown of Value Sales for Logistics Solutions and Logistics Software for the Years 2025 & 2030
    • TABLE 60: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence in Logistics by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Rest of World 6-Year Perspective for Generative Artificial Intelligence in Logistics by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2025 & 2030

IV. COMPETITION