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市场调查报告书
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1644197

物流领域产生人工智慧的全球市场

Generative Artificial Intelligence in Logistics
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 130 Pages | 商品交期: 最快1-2个工作天内

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简介目录

到 2030 年，全球物流生成人工智慧市场规模预计将达到 70 亿美元

2024 年全球物流生成人工智慧市场规模估计为 13 亿美元，预计 2030 年将达到 70 亿美元，2024-2030 年分析期间内的复合年增长率为 32.5%。物流产生 AI 解决方案是报告中分析的细分领域之一，预计到分析期结束时复合年增长率将达到 34.5%，达到 42 亿美元。在分析期间内，物流生成 AI 软体领域的复合年增长率预计为 29.9%。

美国市场规模估计为 3.413 亿美元，中国市场预计复合年增长率为 30.7%

预计 2024 年美国物流领域生成人工智慧市场价值将达 3.413 亿美元。中国是世界第二大经济体，预计到 2030 年市场规模将达到 11 亿美元，2024-2030 年分析期间的复合年增长率为 30.7%。其他值得注意的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 30.0% 和 28.0%。在欧洲，预计德国的复合年增长率约为 22.4%。

全球物流市场中的生成人工智慧-主要趋势和驱动因素摘要

生成式人工智慧如何重新定义物流业务？

生成式AI正在透过引入创新方法来提高整个供应链的效率、准确性和决策能力，从而改变物流。传统物流系统依赖人工监督和分散的流程，并且经常受到效率低下、延误和高成本的困扰。生成式人工智慧透过使用预测分析、高级建模和即时资料处理来优化物流业务的每一步，从而解决这些挑战。该技术使公司能够根据动态的市场需求调整资源，预测需求，简化库存管理，并最大限度地降低营运成本。人工智慧模拟和预测未来场景的能力使物流供应商能够主动应对天气变化、供不应求或地缘政治紧张等潜在干扰。

除了这些进步之外，生成式人工智慧还可以透过分析即时交通资料、天气预报和燃料消耗模式来改善路线优化和车队管理。这样可以加快交付速度，同时透过减少排放和资源使用来减少对环境的影响。仓库自动化也是人工智慧发挥重大影响的关键领域，它可以加快分类、包装和运输流程。凭藉这些能力，生成式人工智慧正在为物流的效率和可靠性设定新的基准。

为什么企业在物流领域迅速采用生成式人工智慧？

生成式人工智慧在物流的快速应用是由于其能够透过降低成本、提高业务效率和提高客户满意度来提供可衡量的价值。该公司正在使用生成式人工智慧来改善车辆和机械等资产的预测性维护。透过分析物联网感测器的资料和历史维护记录，人工智慧可以在设备故障发生之前识别出潜在的故障，从而避免代价高昂的停机和中断。这种积极主动的方法可以延长关键基础设施的使用寿命并最大限度地降低营运风险。

动态定价是产生式人工智慧产生重大影响的另一个领域。透过即时分析供需趋势、竞争策略和市场状况，物流供应商可以调整定价模式，以最大限度地提高收益和竞争优势。此外，生成性人工智慧将透过超个人化服务（例如客製化配送选项和即时出货状态更新）增强客户参与。这些功能不仅可以提高客户忠诚度，还可以让您的业务在竞争激烈的市场中脱颖而出。越来越多的公司将生成性人工智慧视为一种策略投资，它将推动即时的业务改善和长期创新。

生成式人工智慧如何帮助克服全球供应链挑战？

全球物流业正面临前所未有的挑战，包括疫情、地缘政治衝突和气候变迁导致的供应链中断。生成式人工智慧正在成为解决这些挑战的关键解决方案，在不确定的时期提供弹性和适应性。主导系统可以模拟各种潜在的中断，使公司能够制定应急计划并相应地优化其供应链网路。这使得物流供应商即使在不利条件下也能维持运营，减少延迟并保持客户信心。

此外，永续性正成为物流的重点，而生成式人工智慧在实现这些目标方面发挥关键作用。透过优化路线、减少燃料消耗和改善负载计划，人工智慧主导的物流解决方案可以显着减少您的碳足迹。区块链和人工智慧的融合也是一个重要趋势，它提高了整个供应链的透明度和课责。这确保了产品的采购和处理符合道德规范，并满足了对环境和社会负责的物流实践日益增长的需求。这些进步表明，产生人工智慧不仅可以解决当前的业务挑战，还可以推动物流行业的长期转型。

是什么推动了物流市场生成式人工智慧的成长？

物流市场中产生人工智慧的成长受到多种因素的推动，例如对自动化的需求不断增加、电子商务活动的活性化以及对具有成本效益和永续的物流解决方案的需求。物联网设备的广泛应用及其与人工智慧系统的结合将实现即时追踪、监控和预测分析，大大提高供应链的可视性和决策能力。线上零售的扩张和对快速、可靠交付的期望进一步刺激了产生人工智慧的应用，以增强最后一英里的物流。

生成式人工智慧分析消费行为和客製化交付解决方案的能力也在其广泛应用中发挥重要作用。物流供应商正在使用人工智慧来个人化服务、提高客户维繫并满足快速变化的市场需求。此外，政府对人工智慧基础设施的倡议和投资，以及对物流数位转型的日益关注，正在推动市场成长。总的来说，这些因素凸显了生成式人工智慧在塑造物流未来方面的重要作用，使企业能够在日益复杂的竞争环境中取得成功。

部分

元件（物流解决方案、物流软体）、配置（云端基础的配置、本地配置）

受访企业范例（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

目录

第一章调查方法

第 2 章执行摘要

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

第三章 市场分析

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

第四章 竞赛

简介目录
Product Code: 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