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市场调查报告书
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1981206

2026年全球物流生成式人工智慧（AI）市场报告

Generative Artificial Intelligence (AI) in Logistics Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，物流领域生成式人工智慧（AI）的市场规模呈现爆炸性成长。预计该市场规模将从2025年的8亿美元成长到2026年的10.6亿美元，复合年增长率（CAGR）高达32.6%。过去几年的成长主要归功于电子商务和物流需求的扩张、仓储管理系统的普及、预测分析在运输领域的早期应用、车辆管理投资的增加以及供应链自动化的扩展。

预计未来几年，生成式人工智慧在物流市场的规模将大幅成长。到2030年，该市场规模预计将达到32.5亿美元，复合年增长率（CAGR）为32.3%。预测期内的成长预计将受到以下因素的驱动：生成式人工智慧在即时物流决策中的应用、利用人工智慧进行车辆预测性维护的扩展、先进路线模拟工具的采用、混合和边缘人工智慧模型的日益普及，以及人工智慧驱动的物流客户服务营运的扩展。预测期间的关键趋势包括：人工智慧驱动的路线优化、需求预测、自动化库存管理、供应链分析解决方案以及最后一公里配送优化。

电子商务销售额的成长预计将推动生成式人工智慧在物流市场的发展。电子商务日益普及的原因在于其便利性、产品供应范围的扩大以及数位技术的广泛应用。生成式人工智慧在电子商务物流的应用将透过增强库存管理、优化路线和预测需求，提高效率并降低成本。例如，根据美国商务部下属机构人口普查局的数据，截至2024年5月，2023年电子商务销售额约为1.1187兆美元。预计2024年第一季零售总额将达到1.82兆美元，其中电子商务销售额将比2023年同期成长8.5%（±1.1%），而同期零售总额的增幅仅为2.8%（±0.5%）。因此，电子商务销售额的成长正在促进生成式人工智慧在物流市场的扩张。

在物流市场中，主要企业正在采用自然语言介面等先进技术，以提高供应链管理营运的效率和准确性。自然语言介面允许使用者使用日常语言与物流系统交互，从而简化资料查询和报告生成。例如，2023年9月，总部位于美国的物流技术公司FourKites发布了FinAI，这是一款生成式人工智慧解决方案，它透过自然语言互动分析大量的运输数据、预计到达时间（ETA）和里程数据，从而提取洞察、自动化工作流程并优化营运。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球物流领域生成式人工智慧（AI）市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 自主系统、机器人、智慧运输
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
    • 物联网、智慧基础设施、互联生态系统
  • 主要趋势
    • 人工智慧驱动的路线优化
    • 需求预测
    • 库存管理自动化
    • 供应链分析解决方案
    • 优化最后一公里配送

第五章 终端用户产业市场分析

  • 零售
  • 卫生保健
  • 银行与金融
  • 航太
  • 沟通

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球物流领域生成式人工智慧（AI）市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球生成式人工智慧（AI）市场规模、对比及成长率分析（物流）
  • 全球生成式人工智慧（AI）物流市场表现：规模与成长，2020-2025年
  • 全球物流生成式人工智慧（AI）市场预测：规模与成长，2025-2030年及2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按类型
  • 变分自编码器（VAE）、生成对抗网路（GAN）、循环神经网路（RNN）、长期短期记忆（LSTM）网路等类型。
  • 按组件
  • 软体、解决方案
  • 部署模式
  • 本机部署、云端部署
  • 透过使用
  • 仓库管理、路线优化、库存管理、供应链分析、最后一公里配送优化、客户服务营运等用途。
  • 最终用户
  • 零售、医疗保健、航太、电信、科技和其他终端用户
  • 按类型进行子分割：变分自编码器（VAE）
  • 需求预测模型、物流运营异常检测、车辆管理预测性维护、不完整记录的数据补充以及供应链最佳化解决方案。
  • 按类型细分：生成式衝突网路（GAN）
  • 透过情境模拟生成用于模型学习、路线最佳化和模拟的合成数据，用于库存和资产管理的影像生成，用于运输和交付中的诈欺检测，以及产品需求预测。
  • 按类型细分：循环神经网路（RNN）
  • 时间序列分析用于需求预测、出货追踪和预测、配送服务中的客户行为预测、库存管理预测、交货时间估算模型。
  • 按类型细分：长短期记忆（LSTM）网络
  • 进阶时间序列预测、供应链绩效预测分析、运输最佳化模型、订单履行预测、产能规划和资源分配。
  • 按类型细分：其他类型
  • 强化学习用于路径优化，结合多种人工智慧方法的混合模式，基于串流的即时数据分析模型，自我监督学习技术，以及用于现场决策的边缘人工智慧。

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球物流领域生成式人工智慧（AI）市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球物流领域生成式人工智慧（AI）市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年预测数据、2035年预测数据

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 物流生成式人工智慧（AI）市场：竞争格局与市场占有率（2024年）
  • 物流生成式人工智慧（AI）市场：公司估值矩阵
  • 物流的生成式人工智慧（AI）市场：公司概况
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Intel Corporation
    • Accenture plc
    • International Business Machines Corporation

第38章 其他大型企业和创新企业

  • Oracle Corporation, Honeywell International Inc., SAP SE, NVIDIA Corporation, Cognizant Technology Solutions Corporation, Epicor Software Corporation, Blue Yonder Group Inc., Coupa Software Incorporated, Kinaxis Inc., ShipBob Inc., Project44 Inc., Vorto Inc., Logility Inc., FourKites Inc., Shippeo SAS

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年物流生成式人工智慧（AI）市场：提供新机会的国家
  • 2030年物流生成式人工智慧（AI）市场：充满新机会的细分市场
  • 2030年物流生成式人工智慧（AI）市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MGAIA15_G26Q1

Generative artificial intelligence (AI) in logistics involves leveraging sophisticated algorithms and machine learning to improve logistics processes. This includes forecasting demand, optimizing delivery routes, and efficiently managing inventory, leading to reduced costs, more precise deliveries, better operational efficiency, and enhanced customer satisfaction.

Key types of generative AI used in logistics include variational autoencoders (VAEs), generative adversarial networks (GANs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks, among others. A Variational Autoencoder (VAE) is an artificial neural network designed to create new data similar to the input data. Components of generative AI encompass software, hardware, and various solutions, with deployment options available both on-premises and in the cloud. Generative AI applications in logistics span warehouse management, route optimization, inventory control, supply chain analytics, last-mile delivery optimization, and customer service, with use cases across industries such as retail, healthcare, banking and finance, aerospace, telecommunications, and technology.

Tariffs have impacted the generative AI in logistics market by raising the cost of importing AI hardware, software, and cloud-based logistics solutions. Regions such as North America and Asia-Pacific that rely heavily on imported logistics technology are most affected. Segments including route optimization, predictive demand forecasting, and warehouse management systems experience higher operational costs. On the positive side, tariffs are encouraging local production of AI logistics solutions, fostering innovation, and enabling companies to implement more cost-efficient and domestically sourced technologies.

The generative artificial intelligence (AI) in logistics market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in logistics market statistics, including generative artificial intelligence (AI) in logistics industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in logistics market share, detailed generative artificial intelligence (AI) in logistics market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in logistics industry. This generative artificial intelligence (AI) in logistics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative artificial intelligence (AI) in logistics market size has grown exponentially in recent years. It will grow from $0.8 billion in 2025 to $1.06 billion in 2026 at a compound annual growth rate (CAGR) of 32.6%. The growth in the historic period can be attributed to growth of e-commerce and logistics demand, adoption of warehouse management systems, early use of predictive analytics in transportation, increasing investment in fleet management, expansion of supply chain automation.

The generative artificial intelligence (AI) in logistics market size is expected to see exponential growth in the next few years. It will grow to $3.25 billion in 2030 at a compound annual growth rate (CAGR) of 32.3%. The growth in the forecast period can be attributed to integration of generative AI for real-time logistics decision making, expansion of AI-enabled predictive maintenance for fleets, adoption of advanced route simulation tools, increased use of hybrid and edge AI models, growth of AI-powered customer service operations in logistics. Major trends in the forecast period include AI-powered route optimization, predictive demand forecasting, inventory management automation, supply chain analytics solutions, last-mile delivery optimization.

The rise in e-commerce sales is expected to support the growth of the generative artificial intelligence (AI) in logistics market going forward. The growing popularity of e-commerce is driven by convenience, broader product availability, and increased adoption of digital technologies. Generative AI in e-commerce logistics enhances inventory management, improves route optimization, and forecasts demand, resulting in greater efficiency and cost savings. For example, in May 2024, according to the Census Bureau of the Department of Commerce, a US-based government organization, e-commerce sales reached approximately $1,118.7 billion in 2023. During the first quarter of 2024, total retail sales were estimated at $1,820.0 billion, with e-commerce sales increasing by 8.5% (+-1.1%) compared with the same quarter in 2023, while overall retail sales grew by 2.8% (+-0.5%). Therefore, the rise in e-commerce sales is contributing to the expansion of the generative artificial intelligence (AI) in the logistics market.

Leading companies operating in the generative artificial intelligence (AI) in logistics market are adopting advanced technologies, such as natural language interfaces, to improve operational efficiency and accuracy in supply chain management. A natural language interface enables users to interact with logistics systems using everyday language, simplifying data queries and reporting. For example, in September 2023, FourKites, Inc., a US-based logistics technology company, launched FinAI, a generative AI solution that uses natural language interaction to uncover insights, automate workflows, and optimize operations by analyzing extensive shipment, ETA, and mileage data.

In September 2023, Logility Inc., a US-based software company, acquired Garvis BV for an undisclosed amount. This acquisition is intended to accelerate the integration of AI-driven demand forecasting technologies into Logility's supply chain learning solutions. Garvis BV is a Belgium-based provider of generative artificial intelligence solutions for logistics.

Major companies operating in the generative artificial intelligence (AI) in logistics market are Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, Accenture plc, International Business Machines Corporation, Oracle Corporation, Honeywell International Inc., SAP SE, NVIDIA Corporation, Cognizant Technology Solutions Corporation, Epicor Software Corporation, Blue Yonder Group Inc., Coupa Software Incorporated, Kinaxis Inc., ShipBob Inc., Project44 Inc., Vorto Inc., Logility Inc., FourKites Inc., Shippeo SAS, Freightos Ltd., Slync.io Inc., Locus.sh, ClearMetal Inc.

North America was the largest region in the generative artificial intelligence (AI) in logistics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in logistics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in logistics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in logistics market consists of revenues earned by entities by providing services such as real-time data analysis, dynamic pricing optimization, predictive maintenance, customer behavior analysis, and fraud detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in logistics market also includes sales of autonomous vehicles, autonomous vehicle drones, and warehouse robotic solutions. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative Artificial Intelligence (AI) in Logistics Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses generative artificial intelligence (AI) in logistics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for generative artificial intelligence (AI) in logistics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in logistics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Type: Variational Autoencoder (VAE); Generative Adversarial Networks (GANs); Recurrent Neural Networks (RNNs); Long Short-Term Memory (LSTM) Networks; Other Types
  • 2) By Component: Software; Solution
  • 3) By Deployment Mode: On-Premises; Cloud-Based
  • 4) By Application: Warehouse Management; Route Optimization; Inventory Management; Supply Chain Analytics; Last-Mile Delivery Optimization; Customer Service Operations; Other Applications
  • 5) By End-User: Retail; Healthcare; Aerospace; Telecommunication; Technology; Other End-Users
  • Subsegments:
  • 1) By Variational Autoencoder (VAE): Demand Forecasting Models; Anomaly Detection In Logistics Operations; Predictive Maintenance For Fleet Management; Data Imputation For Incomplete Records; Supply Chain Optimization Solutions
  • 2) By Generative Adversarial Networks (GANs): Synthetic Data Generation For Training Models; Route Optimization And Simulation; Image Generation For Inventory And Asset Management; Fraud Detection In Shipment And Delivery; Product Demand Forecasting Through Scenario Simulation
  • 3) By Recurrent Neural Networks (RNNs): Time Series Analysis For Demand Prediction; Shipment Tracking And Forecasting; Customer Behavior Prediction For Delivery Services; Inventory Management Forecasting; Delivery Time Estimation Models
  • 4) By Long Short-Term Memory (LSTM) Networks: Advanced Time Series Forecasting; Predictive Analytics For Supply Chain Performance; Transportation Optimization Models; Order Fulfillment Prediction; Capacity Planning And Resource Allocation
  • 5) By Other Types: Reinforcement Learning For Route Optimization; Hybrid Models Combining Multiple AI Approaches; Flow-Based Models For Real-Time Data Analysis; Self-Supervised Learning Techniques; Edge AI For On-Site Decision Making
  • Companies Mentioned: Microsoft Corporation; Amazon Web Services Inc.; Intel Corporation; Accenture plc; International Business Machines Corporation; Oracle Corporation; Honeywell International Inc.; SAP SE; NVIDIA Corporation; Cognizant Technology Solutions Corporation; Epicor Software Corporation; Blue Yonder Group Inc.; Coupa Software Incorporated; Kinaxis Inc.; ShipBob Inc.; Project44 Inc.; Vorto Inc.; Logility Inc.; FourKites Inc.; Shippeo SAS; Freightos Ltd.; Slync.io Inc.; Locus.sh; ClearMetal Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Generative Artificial Intelligence (AI) in Logistics Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative Artificial Intelligence (AI) in Logistics Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Generative Artificial Intelligence (AI) in Logistics Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Generative Artificial Intelligence (AI) in Logistics Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.2. Major Trends
    • 4.2.1 AI-Powered Route Optimization
    • 4.2.2 Predictive Demand Forecasting
    • 4.2.3 Inventory Management Automation
    • 4.2.4 Supply Chain Analytics Solutions
    • 4.2.5 Last-Mile Delivery Optimization

5. Generative Artificial Intelligence (AI) in Logistics Market Analysis Of End Use Industries

  • 5.1 Retail
  • 5.2 Healthcare
  • 5.3 Banking And Finance
  • 5.4 Aerospace
  • 5.5 Telecommunication

6. Generative Artificial Intelligence (AI) in Logistics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Generative Artificial Intelligence (AI) in Logistics Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) in Logistics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Generative Artificial Intelligence (AI) in Logistics Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Generative Artificial Intelligence (AI) in Logistics Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Generative Artificial Intelligence (AI) in Logistics Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Generative Artificial Intelligence (AI) in Logistics Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Generative Artificial Intelligence (AI) in Logistics Market Segmentation

  • 9.1. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Variational Autoencoder (VAE), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, Other Types
  • 9.2. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Solution
  • 9.3. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premises, Cloud-Based
  • 9.4. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Warehouse Management, Route Optimization, Inventory Management, Supply Chain Analytics, Last-Mile Delivery Optimization, Customer Service Operations, Other Applications
  • 9.5. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Retail, Healthcare, Aerospace, Telecommunication, Technology, Other End-Users
  • 9.6. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Variational Autoencoder (VAE), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Demand Forecasting Models, Anomaly Detection In Logistics Operations, Predictive Maintenance For Fleet Management, Data Imputation For Incomplete Records, Supply Chain Optimization Solutions
  • 9.7. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Generative Adversarial Networks (GANs), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Synthetic Data Generation For Training Models, Route Optimization And Simulation, Image Generation For Inventory And Asset Management, Fraud Detection In Shipment And Delivery, Product Demand Forecasting Through Scenario Simulation
  • 9.8. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Recurrent Neural Networks (RNNs), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Time Series Analysis For Demand Prediction, Shipment Tracking And Forecasting, Customer Behavior Prediction For Delivery Services, Inventory Management Forecasting, Delivery Time Estimation Models
  • 9.9. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Long Short-Term Memory (LSTM) Networks, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Advanced Time Series Forecasting, Predictive Analytics For Supply Chain Performance, Transportation Optimization Models, Order Fulfillment Prediction, Capacity Planning And Resource Allocation
  • 9.10. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Other Types, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Reinforcement Learning For Route Optimization, Hybrid Models Combining Multiple AI Approaches, Flow-Based Models For Real-Time Data Analysis, Self-Supervised Learning Techniques, Edge AI For On-Site Decision Making

10. Generative Artificial Intelligence (AI) in Logistics Market, Industry Metrics By Country

  • 10.1. Global Generative Artificial Intelligence (AI) in Logistics Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative Artificial Intelligence (AI) in Logistics Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Generative Artificial Intelligence (AI) in Logistics Market Regional And Country Analysis

  • 11.1. Global Generative Artificial Intelligence (AI) in Logistics Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative Artificial Intelligence (AI) in Logistics Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Generative Artificial Intelligence (AI) in Logistics Market

  • 12.1. Asia-Pacific Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative Artificial Intelligence (AI) in Logistics Market

  • 13.1. China Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative Artificial Intelligence (AI) in Logistics Market

  • 14.1. India Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative Artificial Intelligence (AI) in Logistics Market

  • 15.1. Japan Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative Artificial Intelligence (AI) in Logistics Market

  • 16.1. Australia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative Artificial Intelligence (AI) in Logistics Market

  • 17.1. Indonesia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative Artificial Intelligence (AI) in Logistics Market

  • 18.1. South Korea Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative Artificial Intelligence (AI) in Logistics Market

  • 19.1. Taiwan Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative Artificial Intelligence (AI) in Logistics Market

  • 20.1. South East Asia Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative Artificial Intelligence (AI) in Logistics Market

  • 21.1. Western Europe Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative Artificial Intelligence (AI) in Logistics Market

  • 22.1. UK Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative Artificial Intelligence (AI) in Logistics Market

  • 23.1. Germany Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative Artificial Intelligence (AI) in Logistics Market

  • 24.1. France Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative Artificial Intelligence (AI) in Logistics Market

  • 25.1. Italy Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative Artificial Intelligence (AI) in Logistics Market

  • 26.1. Spain Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market

  • 27.1. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative Artificial Intelligence (AI) in Logistics Market

  • 28.1. Russia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative Artificial Intelligence (AI) in Logistics Market

  • 29.1. North America Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative Artificial Intelligence (AI) in Logistics Market

  • 30.1. USA Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative Artificial Intelligence (AI) in Logistics Market

  • 31.1. Canada Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative Artificial Intelligence (AI) in Logistics Market

  • 32.1. South America Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative Artificial Intelligence (AI) in Logistics Market

  • 33.1. Brazil Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative Artificial Intelligence (AI) in Logistics Market

  • 34.1. Middle East Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative Artificial Intelligence (AI) in Logistics Market

  • 35.1. Africa Generative Artificial Intelligence (AI) in Logistics Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Segmentation By Component, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative Artificial Intelligence (AI) in Logistics Market Regulatory and Investment Landscape

37. Generative Artificial Intelligence (AI) in Logistics Market Competitive Landscape And Company Profiles

  • 37.1. Generative Artificial Intelligence (AI) in Logistics Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative Artificial Intelligence (AI) in Logistics Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative Artificial Intelligence (AI) in Logistics Market Company Profiles
    • 37.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

38. Generative Artificial Intelligence (AI) in Logistics Market Other Major And Innovative Companies

  • Oracle Corporation, Honeywell International Inc., SAP SE, NVIDIA Corporation, Cognizant Technology Solutions Corporation, Epicor Software Corporation, Blue Yonder Group Inc., Coupa Software Incorporated, Kinaxis Inc., ShipBob Inc., Project44 Inc., Vorto Inc., Logility Inc., FourKites Inc., Shippeo SAS

39. Global Generative Artificial Intelligence (AI) in Logistics Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) in Logistics Market

41. Generative Artificial Intelligence (AI) in Logistics Market High Potential Countries, Segments and Strategies

  • 41.1. Generative Artificial Intelligence (AI) in Logistics Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative Artificial Intelligence (AI) in Logistics Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative Artificial Intelligence (AI) in Logistics Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer