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市场调查报告书
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1710325

2025年物流领域生成式AI（AI）全球市场报告

Generative Artificial Intelligence (AI) in Logistics Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

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简介目录

预计未来几年物流生成式AI(AI) 的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 24.6 亿美元，复合年增长率为 32.4%。预测期内的成长归因于对即时资料的需求不断增加、物联网设备的使用不断增加、对人工智慧技术的投资不断增加、对供应链可视性的需求不断增加以及对改善客户体验的需求不断增加。预测期内的关键趋势包括技术进步、自动驾驶汽车、预测分析、机器人流程自动化和数数位双胞胎。

电子商务销售额的预期成长预计将推动物流领域产生人工智慧 (AI) 的进步。随着电子商务因其便利性、广泛的产品范围以及数位技术的兴起而变得越来越普及，生成人工智慧将越来越多地用于简化库存管理、改善路线规划和预测需求，从而提高效率并节省成本。例如，2024年5月，美国商务部人口普查局的报告显示，2023年电子商务销售额约为11,187亿美元。 2024年第一季的零售总额将达到约1.82兆美元，这意味着零售总额将成长2.8%，而电子商务销售额将比2023年同期成长8.5%。电子商务的成长正在刺激生成性人工智慧在物流市场的扩张。

生成式人工智慧物流市场的关键参与者正专注于采用自然语言介面等最尖端科技来提高供应链管理的业务效率和准确性。自然语言介面使用户能够使用日常语言与供应链管理软体进行交互，简化资料查询、报告生成和营运管理，而无需专业的技术知识。例如，2023年9月，美国供应链视觉化和物流技术公司FourKites, Inc.推出了旨在改善供应链管理的生成式人工智慧工具FinAI。 FinAI 利用自然语言介面分析大量资料（包括每天 300 万批货物、1,800 万次预计到达时间 (ETA) 和每年 620 亿英里的追踪里程），以提取见解、自动执行任务并优化营运。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球物流中的生成式AI（AI）PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球物流物流生成式AI（AI）市场：成长率分析
  • 全球物流生成式AI(AI) 市场表现：规模与成长，2019-2024 年
  • 全球物流生成式AI(AI) 市场预测：规模与成长，2024-2029 年，2034 年
  • 全球物流中的生成式AI(AI) 总目标市场 (TAM)

第六章市场区隔

  • 全球物流物流生成式AI(AI) 市场类型、表现及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 变分自编码器（VAE）
  • 生成对抗网路（GAN）
  • 循环神经网路（RNN）
  • 长短期记忆（LSTM）网络
  • 其他类型
  • 全球物流生成式AI(AI) 市场组成、效能及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 软体
  • 硬体
  • 解决方案
  • 全球物流领域产生生成式AI(AI) 市场（按部署模式、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 云端基础
  • 全球物流领域产生生成式AI(AI) 市场的应用、效能及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 仓库管理
  • 路线优化
  • 库存管理
  • 供应链分析
  • 优化最后一哩配送
  • 客户服务业务
  • 其他用途
  • 全球物流领域产生生成式AI(AI) 市场（按最终用户、效能和预测），2019-2024 年、2024-2029 年、2034 年
  • 零售
  • 卫生保健
  • 银行与金融
  • 航太
  • 通讯
  • 科技
  • 其他最终用户
  • 全球物流物流生成式AI变分自动编码器 (VAE) 细分（按类型）、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 需求预测模型
  • 物流业务中的异常检测
  • 车队管理的预测性维护
  • 不完整记录的资料补全
  • 供应链优化解决方案
  • 全球物流物流生成式AI(AI) 市场按生成对抗网路 (GAN) 类型细分，业绩及预测，2019-2024 年、2024-2029 年、2034 年
  • 为训练模型产生合成资料
  • 路线优化与模拟
  • 库存和资产管理的图像生成
  • 运输和交付中的诈骗侦测
  • 使用情境模拟进行产品需求预测
  • 全球物流物流生成式AI(AI) 市场、循环神经网路 (RNN) 细分（按类型）、绩效及预测，2019-2024 年、2024-2029 年及 2034 年
  • 需求预测的时间序列分析
  • 货运追踪和预测
  • 配送服务中的客户行为预测
  • 库存管理预测
  • 配送时间估算模型
  • 全球物流物流生成式AI(AI) 市场，按长短期记忆 (LSTM) 网路类型细分，绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 进阶时间序列预测
  • 供应链绩效的预测分析
  • 运输最佳化模型
  • 订单履行预测
  • 容量规划和资源分配
  • 全球物流及其他细分领域物流生成式AI(AI) 市场（按类型、实际规模及预测）2019-2024 年、2024-2029 年、2034 年
  • 强化学习用于路线最佳化
  • 结合多种AI方法的混合模式
  • 基于串流的即时资料分析模型
  • 自监督学习技术
  • 用于现场决策的边缘人工智慧

第七章 区域和国家分析

  • 全球物流领域产生生成式AI(AI) 市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球物流领域产生生成式AI(AI) 市场：依国家、地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 物流中的生成式AI（AI）：竞争格局
  • 物流市场中的生成式AI（AI）：公司简介
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • 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 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年物流市场中的生成式AI（AI）：提供新机会的国家
  • 2029年物流市场中的生成式AI（AI）：细分领域带来新机会
  • 2029年物流市场中的生成式AI（AI）：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r31904

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.

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 medical connectors 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 $0.6 $ billion in 2024 to $0.8 $ billion in 2025 at a compound annual growth rate (CAGR) of 32.7%. The growth in the historic period can be attributed to increasing demand for real-time data analysis, growth in e-commerce, expansion of global supply chains, increasing industrial infrastructure, and rise of automation in warehouse management.

The generative artificial intelligence (AI) in logistics market size is expected to see exponential growth in the next few years. It will grow to $2.46 $ billion in 2029 at a compound annual growth rate (CAGR) of 32.4%. The growth in the forecast period can be attributed to increasing demand for real-time data, increasing use of IoT devices, rising investment in AI technologies, rising need for supply chain visibility, and rising demand for enhanced customer experience. Major trends in the forecast period include technological advancements, autonomous vehicles, predictive analytics, robotic process automation, and digital twins.

The anticipated growth in e-commerce sales is expected to drive advancements in generative artificial intelligence (AI) within the logistics sector. As e-commerce becomes more popular due to its convenience, broader product range, and the rise of digital technology, generative AI is increasingly used to streamline inventory management, improve route planning, and forecast demand, leading to greater efficiency and cost savings. For example, in May 2024, a report from the Census Bureau of the Department of Commerce revealed that e-commerce sales in 2023 totaled approximately $1,118.7 billion. During the first quarter of 2024, total retail sales were about $1,820.0 billion, with e-commerce sales experiencing an 8.5% increase from the same period in 2023, compared to a 2.8% rise in overall retail sales. This growth in e-commerce is fueling the expansion of generative AI in the logistics market.

Key players in the generative AI logistics market are focusing on adopting cutting-edge technologies such as natural language interfaces to boost operational efficiency and accuracy in supply chain management. A natural language interface allows users to interact with supply chain management software using everyday language, simplifying data queries, report generation, and operational management without requiring specialized technical expertise. For instance, in September 2023, FourKites, Inc., a US-based supply chain visibility and logistics technology firm, introduced FinAI, a generative AI tool designed to improve supply chain management. FinAI leverages a natural language interface to extract insights, automate tasks, and optimize operations by analyzing vast amounts of data, including 3 million shipments per day, 18 million estimated times of arrival (ETAs), and 62 billion miles tracked annually.

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

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 2023. 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, 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, 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 Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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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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? 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, competitive landscape, market shares, 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.
  • 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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

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; Hardware; 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; Banking And Finance; 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
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

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

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

4. Generative Artificial Intelligence (AI) in Logistics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Generative Artificial Intelligence (AI) in Logistics Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Generative Artificial Intelligence (AI) in Logistics PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Generative Artificial Intelligence (AI) in Logistics Market Growth Rate Analysis
  • 5.4. Global Generative Artificial Intelligence (AI) in Logistics Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Generative Artificial Intelligence (AI) in Logistics Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Generative Artificial Intelligence (AI) in Logistics Total Addressable Market (TAM)

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

  • 6.1. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Variational Autoencoder (VAE)
  • Generative Adversarial Networks (GANs)
  • Recurrent Neural Networks (RNNs)
  • Long Short-Term Memory (LSTM) Networks
  • Other Types
  • 6.2. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Solution
  • 6.3. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud-Based
  • 6.4. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Warehouse Management
  • Route Optimization
  • Inventory Management
  • Supply Chain Analytics
  • Last-Mile Delivery Optimization
  • Customer Service Operations
  • Other Applications
  • 6.5. Global Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Retail
  • Healthcare
  • Banking And Finance
  • Aerospace
  • Telecommunication
  • Technology
  • Other End-Users
  • 6.6. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Variational Autoencoder (VAE), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Demand Forecasting Models
  • Anomaly Detection In Logistics Operations
  • Predictive Maintenance For Fleet Management
  • Data Imputation For Incomplete Records
  • Supply Chain Optimization Solutions
  • 6.7. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Generative Adversarial Networks (GANs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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
  • 6.8. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Recurrent Neural Networks (RNNs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Time Series Analysis For Demand Prediction
  • Shipment Tracking And Forecasting
  • Customer Behavior Prediction For Delivery Services
  • Inventory Management Forecasting
  • Delivery Time Estimation Models
  • 6.9. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Long Short-Term Memory (LSTM) Networks, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Advanced Time Series Forecasting
  • Predictive Analytics For Supply Chain Performance
  • Transportation Optimization Models
  • Order Fulfillment Prediction
  • Capacity Planning And Resource Allocation
  • 6.10. Global Generative Artificial Intelligence (AI) in Logistics Market, Sub-Segmentation Of Other Types, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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

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

  • 7.1. Global Generative Artificial Intelligence (AI) in Logistics Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Generative Artificial Intelligence (AI) in Logistics Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 8.1. 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
  • 8.2. Asia-Pacific Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 9.1. China Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 9.2. China Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

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

  • 10.1. India Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 11.1. Japan Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 11.2. Japan Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 12.1. Australia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 13.1. Indonesia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 14.1. South Korea Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 14.2. South Korea Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 15.1. Western Europe Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 15.2. Western Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 16.1. UK Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 17.1. Germany Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 18.1. France Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 19.1. Italy Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 20.1. Spain Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 21.1. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 21.2. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 22.1. Russia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 23.1. North America Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 23.2. North America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 24.1. USA Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 24.2. USA Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 25.1. Canada Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 25.2. Canada Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 26.1. South America Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 26.2. South America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 27.1. Brazil Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 28.1. Middle East Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 28.2. Middle East Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 29.1. Africa Generative Artificial Intelligence (AI) in Logistics Market Overview
  • 29.2. Africa Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence (AI) in Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. Generative Artificial Intelligence (AI) in Logistics Market Competitive Landscape
  • 30.2. Generative Artificial Intelligence (AI) in Logistics Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. Oracle Corporation
  • 31.2. Honeywell International Inc.
  • 31.3. SAP SE
  • 31.4. NVIDIA Corporation
  • 31.5. Cognizant Technology Solutions Corporation
  • 31.6. Epicor Software Corporation
  • 31.7. Blue Yonder Group Inc.
  • 31.8. Coupa Software Incorporated
  • 31.9. Kinaxis Inc.
  • 31.10. ShipBob Inc.
  • 31.11. Project44 Inc.
  • 31.12. Vorto Inc.
  • 31.13. Logility Inc.
  • 31.14. FourKites Inc.
  • 31.15. Shippeo SAS

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

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

34. Recent Developments In The Generative Artificial Intelligence (AI) in Logistics Market

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

  • 35.1 Generative Artificial Intelligence (AI) in Logistics Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence (AI) in Logistics Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence (AI) in Logistics Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer