物流領域產生人工智慧的全球市場

到 2030 年，全球物流生成人工智慧市場規模預計將達到 70 億美元

2024 年全球物流生成人工智慧市場規模估計為 13 億美元，預計 2030 年將達到 70 億美元，2024-2030 年分析期間內的複合年成長率為 32.5%。物流產生 AI 解決方案是報告中分析的細分領域之一，預計到分析期結束時複合年成長率將達到 34.5%，達到 42 億美元。在分析期間內，物流生成 AI 軟體領域的複合年成長率預計為 29.9%。

美國市場規模估計為 3.413 億美元，中國市場預計複合年成長率為 30.7%

預計 2024 年美國物流領域生成人工智慧市場價值將達 3.413 億美元。中國是世界第二大經濟體，預計到 2030 年市場規模將達到 11 億美元，2024-2030 年分析期間的複合年成長率為 30.7%。其他值得注意的區域市場包括日本和加拿大，預計在分析期間的複合年成長率分別為 30.0% 和 28.0%。在歐洲，預計德國的複合年成長率約為 22.4%。

全球物流市場中的生成人工智慧-主要趨勢和促進因素摘要

生成式人工智慧如何重新定義物流業務？

生成式AI正在透過引入創新方法來提高整個供應鏈的效率、準確性和決策能力，從而改變物流。傳統物流系統依賴人工監督和分散的流程，並且經常受到效率低下、延誤和高成本的困擾。生成式人工智慧透過使用預測分析、高級建模和即時資料處理來最佳化物流業務的每一步，從而解決這些挑戰。該技術使公司能夠根據動態的市場需求調整資源，預測需求，簡化庫存管理，並最大限度地降低營運成本。人工智慧模擬和預測未來場景的能力使物流供應商能夠主動應對天氣變化、供不應求或地緣政治緊張等潛在干擾。

除了這些進步之外，生成式人工智慧還可以透過分析即時交通資料、天氣預報和燃料消耗模式來改善路線最佳化和車隊管理。這樣可以加快交付速度，同時透過減少排放和資源使用來減少對環境的影響。倉庫自動化也是人工智慧發揮重大影響的關鍵領域，它可以加快分類、包裝和運輸流程。憑藉這些能力，生成式人工智慧正在為物流的效率和可靠性設定新的基準。

為什麼企業在物流領域迅速採用生成式人工智慧？

生成式人工智慧在物流的快速應用是由於其能夠透過降低成本、提高業務效率和提高客戶滿意度來提供可衡量的價值。該公司正在使用生成式人工智慧來改善車輛和機械等資產的預測性維護。透過分析物聯網感測器的資料和歷史維護記錄，人工智慧可以在設備故障發生之前識別出潛在的故障，從而避免代價高昂的停機和中斷。這種積極主動的方法可以延長關鍵基礎設施的使用壽命並最大限度地降低營運風險。

動態定價是產生式人工智慧產生重大影響的另一個領域。透過即時分析供需趨勢、競爭策略和市場狀況，物流供應商可以調整定價模式，以最大限度地提高收益和競爭優勢。此外，生成性人工智慧將透過超個人化服務（例如客製化配送選項和即時出貨狀態更新）增強客戶參與。這些功能不僅可以提高客戶忠誠度，還可以讓您的業務在競爭激烈的市場中脫穎而出。越來越多的公司將生成性人工智慧視為一種策略投資，它將推動即時的業務改善和長期創新。

生成式人工智慧如何幫助克服全球供應鏈挑戰？

全球物流業正面臨前所未有的挑戰，包括疫情、地緣政治衝突和氣候變遷導致的供應鏈中斷。生成式人工智慧正在成為解決這些挑戰的關鍵解決方案，在不確定的時期提供彈性和適應性。主導系統可以模擬各種潛在的中斷，使公司能夠制定應急計劃並相應地最佳化其供應鏈網路。這使得物流供應商即使在不利條件下也能維持營運，減少延遲並保持客戶信心。

此外，永續性正成為物流的重點，而生成式人工智慧在實現這些目標方面發揮關鍵作用。透過最佳化路線、減少燃料消耗和改善負載計劃，人工智慧主導的物流解決方案可以顯著減少您的碳足跡。區塊鏈和人工智慧的融合也是一個重要趨勢，它提高了整個供應鏈的透明度和課責。這確保了產品的採購和處理符合道德規範，並滿足了對環境和社會負責的物流實踐日益成長的需求。這些進步表明，產生人工智慧不僅可以解決當前的業務挑戰，還可以推動物流行業的長期轉型。

是什麼推動了物流市場生成式人工智慧的成長？

物流市場中產生人工智慧的成長受到多種因素的推動，例如對自動化的需求不斷增加、電子商務活動的活性化以及對具有成本效益和永續的物流解決方案的需求。物聯網設備的廣泛應用及其與人工智慧系統的結合將實現即時追蹤、監控和預測分析，大大提高供應鏈的可視性和決策能力。線上零售的擴張和對快速、可靠交付的期望進一步刺激了產生人工智慧的應用，以增強最後一英里的物流。

生成式人工智慧分析消費行為和客製化交付解決方案的能力也在其廣泛應用中發揮重要作用。物流供應商正在使用人工智慧來個人化服務、提高客戶維繫並滿足快速變化的市場需求。此外，政府對人工智慧基礎設施的舉措和投資，以及對物流數位轉型的日益關注，正在推動市場成長。總的來說，這些因素凸顯了生成式人工智慧在塑造物流未來方面的重要作用，使企業能夠在日益複雜的競爭環境中取得成功。

部分

元件（物流解決方案、物流軟體）、配置（雲端基礎的配置、本地配置）

受訪企業範例（共34家）

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

目錄

第1章調查方法

第 2 章執行摘要

• 市場概況
• 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

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