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市場調查報告書
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1710325

2025年物流領域生成式AI（AI）全球市場報告

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個工作天內

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簡介目錄

預計未來幾年物流生成式AI(AI) 的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 24.6 億美元，複合年成長率為 32.4%。預測期內的成長歸因於對即時資料的需求不斷增加、物聯網設備的使用不斷增加、對人工智慧技術的投資不斷增加、對供應鏈可視性的需求不斷增加以及對改善客戶體驗的需求不斷增加。預測期內的關鍵趨勢包括技術進步、自動駕駛汽車、預測分析、機器人流程自動化和數位雙胞胎。

電子商務銷售額的預期成長預計將推動物流領域產生人工智慧 (AI) 的進步。隨著電子商務因其便利性、廣泛的產品範圍以及數位技術的興起而變得越來越普及，生成人工智慧將擴大用於簡化庫存管理、改善路線規劃和預測需求，從而提高效率並節省成本。例如，2024年5月，美國商務部人口普查局的報告顯示，2023年電子商務銷售額約為11,187億美元。 2024年第一季的零售總額將達到約1.82兆美元，這意味著零售總額將成長2.8%，而電子商務銷售額將比2023年同期成長8.5%。電子商務的成長正在刺激生成性人工智慧在物流市場的擴張。

生成式人工智慧物流市場的關鍵參與者正專注於採用自然語言介面等最尖端科技來提高供應鏈管理的業務效率和準確性。自然語言介面使用戶能夠使用日常語言與供應鏈管理軟體進行交互，簡化資料查詢、報告生成和營運管理，而無需專業的技術知識。例如，2023年9月，美國供應鏈視覺化和物流技術公司FourKites, Inc.推出了旨在改善供應鏈管理的生成式人工智慧工具FinAI。 FinAI 利用自然語言介面分析大量資料（包括每天 300 萬批貨物、1,800 萬次預計到達時間 (ETA) 和每年 620 億英里的追蹤里程），以提取見解、自動執行任務並最佳化營運。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、感染疾病、地緣政治、新冠疫情、經濟復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球物流中的生成式AI（AI）PESTEL分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球物流物流生成式AI（AI）市場：成長率分析
  • 全球物流生成式AI(AI) 市場表現：規模與成長，2019-2024 年
  • 全球物流生成式AI(AI) 市場預測：規模與成長，2024-2029 年，2034 年
  • 全球物流中的生成式AI(AI) 總目標市場 (TAM)

第6章市場區隔

  • 全球物流物流生成式AI(AI) 市場類型、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 變分自編碼器（VAE）
  • 生成對抗網路（GAN）
  • 循環神經網路（RNN）
  • 長短期記憶（LSTM）網路
  • 其他類型
  • 全球物流生成式AI(AI) 市場組成、效能及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 軟體
  • 硬體
  • 解決方案
  • 全球物流領域產生生成式AI(AI) 市場（按部署模式、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 雲端基礎
  • 全球物流領域產生生成式AI(AI) 市場的應用、效能及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 倉庫管理
  • 路線最佳化
  • 庫存管理
  • 供應鏈分析
  • 最佳化最後一哩配送
  • 客戶服務業務
  • 其他用途
  • 全球物流領域產生生成式AI(AI) 市場（按最終用戶、效能和預測），2019-2024 年、2024-2029 年、2034 年
  • 零售
  • 衛生保健
  • 銀行與金融
  • 航太
  • 通訊
  • 科技
  • 其他最終用戶
  • 全球物流物流生成式AI變分自動編碼器 (VAE) 細分（按類型）、實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 需求預測模型
  • 物流業務中的異常檢測
  • 車隊管理的預測性維護
  • 不完整記錄的資料補全
  • 供應鏈最佳化解決方案
  • 全球物流物流生成式AI(AI) 市場按生成對抗網路 (GAN) 類型細分，業績及預測，2019-2024 年、2024-2029 年、2034 年
  • 為訓練模型產生合成資料
  • 路線最佳化與模擬
  • 庫存和資產管理的圖像生成
  • 運輸和交付中的詐騙偵測
  • 使用情境模擬進行產品需求預測
  • 全球物流物流生成式AI(AI) 市場、循環神經網路 (RNN) 細分（按類型）、績效及預測，2019-2024 年、2024-2029 年及 2034 年
  • 需求預測的時間序列分析
  • 貨運追蹤和預測
  • 配送服務中的客戶行為預測
  • 庫存管理預測
  • 配送時間估算模型
  • 全球物流物流生成式AI(AI) 市場，按長短期記憶 (LSTM) 網路類型細分，績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 進階時間序列預測
  • 供應鏈績效的預測分析
  • 運輸最佳化模型
  • 訂單履行預測
  • 容量規劃和資源分配
  • 全球物流及其他細分領域物流生成式AI(AI) 市場（按類型、實際規模及預測）2019-2024 年、2024-2029 年、2034 年
  • 強化學習用於路線最佳化
  • 結合多種AI方法的混合模式
  • 基於串流的即時資料分析模型
  • 自監督學習技術
  • 用於現場決策的邊緣人工智慧

第7章 區域和國家分析

  • 全球物流領域產生生成式AI(AI) 市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球物流領域產生生成式AI(AI) 市場：依國家、地區、績效及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

  • 物流中的生成式AI（AI）：競爭格局
  • 物流市場中的生成式AI（AI）：公司簡介
    • 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 其他大型創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029年物流市場中的生成式AI（AI）：提供新機會的國家
  • 2029年物流市場中的生成式AI（AI）：細分領域帶來新機會
  • 2029年物流市場中的生成式AI（AI）：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
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