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市場調查報告書
商品編碼
1619622

2024 年物流生成式人工智慧 (AI) 全球市場報告

Generative Artificial Intelligence (AI) in Logistics Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

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簡介目錄

物流領域的生成人工智慧 (AI) 市場規模預計將在未來幾年呈指數級成長。 2028年，將以32.5%的複合年成長率成長至18.6億美元。預測期內的預期成長也將受到對即時資料的需求不斷成長、物聯網設備的使用不斷增加、人工智慧技術投資增加、提高供應鏈可視性的需求以及改善客戶體驗的需求的推動。這段時期的主要趨勢包括技術進步、自動駕駛汽車、預測分析、機器人流程自動化和數位雙胞胎。

電子商務銷售的預期成長預計將推動物流領域人工智慧（AI）的發展。隨著電子商務因其便利性、產品範圍廣泛以及數位技術的興起而變得越來越普遍，生成式人工智慧將擴大用於簡化庫存管理、改進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，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年第一季零售總額約1.82兆美元，其中電子商務銷售額較2023年同期成長8.5%，而零售總額成長2.8%。電子商務的成長正在推動生成式人工智慧 (AI) 在物流的擴展。

物流市場產生人工智慧（AI）的主要參與企業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。自然語言介面允許使用者使用日常語言與供應鏈管理軟體進行交互，從而簡化資料查詢、報告生成和營運管理，而無需專門的技術知識。例如，2023 年 9 月，美國供應鏈視覺性和物流技術公司 FourKites, Inc. 宣布推出 FinAI，這是一種旨在改善供應鏈管理的生成式人工智慧工具。 FinAI 利用自然語言介面透過分析大量資料（包括每天 300 萬次出貨、1800 萬次預計到達時間 (ETA) 和每年追蹤的 620 億英里）來獲取見解，自動執行任務並最佳化營運。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球物流生成物流(AI) 市場：促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 全球生成人工智慧 (AI) 在物流市場的表現：規模和成長，2018-2023
  • 全球生成式人工智慧 (AI)物流市場預測：規模與成長，2023-2028 年、2033 年

第6章 市場細分

  • 全球物流市場產生人工智慧（AI）：按類型、實際和預測，2018-2023、2023-2028、2033
  • 變分自動編碼器 (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
  • 全球物流市場產生人工智慧（AI）：按組成部分、績效和預測，2018-2023、2023-2028、2033
  • 軟體
  • 硬體
  • 解決方案
  • 全球生成式人工智慧 (AI) 在物流市場的應用：按部署模式、效能和預測分類，2018-2023、2023-2028、2033
  • 本地
  • 雲端基礎
  • 全球物流生成物流(AI) 市場：按應用、效能和預測，2018-2023、2023-2028、2033
  • 倉庫管理
  • 路線最佳化
  • 庫存管理
  • 供應鏈分析
  • 最後一公里配送最佳化
  • 客戶服務業務
  • 其他
  • 物流市場中的全球生成人工智慧 (AI)：按最終用戶、實際和預測，2018-2023、2023-2028、2033
  • 零售
  • 醫療保健
  • 銀行/金融
  • 航太
  • 通訊
  • 科技
  • 其他

第 7 章 區域/國家分析

  • 全球物流市場產生人工智慧（AI）：按地區、績效和預測，2018-2023、2023-2028、2033
  • 全球物流市場產生人工智慧（AI）：按國家、績效和預測，2018-2023、2023-2028、2033

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 競爭格局及公司概況

  • 物流領域的生成人工智慧 (AI) 市場：競爭格局
  • 物流領域的生成式人工智慧 (AI) 市場：公司簡介
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Intel Corporation
    • Accenture plc
    • International Business Machines Corporation

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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來展望與潛力分析

第36章附錄

簡介目錄
Product Code: r20627

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 $0.45 billion in 2023 to $0.60 billion in 2024 at a compound annual growth rate (CAGR) of 32.4%. The growth observed in the historical period can be ascribed to several factors, the increasing need for real-time data analysis, the expansion of e-commerce, the global growth of supply chains, the development of industrial infrastructure, and the 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 $1.86 billion in 2028 at a compound annual growth rate (CAGR) of 32.5%. The projected growth during the forecast period is driven by the rising demand for real-time data, the growing use of IoT devices, increased investment in AI technologies, the need for better supply chain visibility, and the demand for improved customer experiences. Key trends anticipated in this 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 2024 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.

Reasons to Purchase

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  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
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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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Generative Artificial Intelligence (AI) In Logistics Market Size and Growth

  • 5.1. Global Generative Artificial Intelligence (AI) In Logistics Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Generative Artificial Intelligence (AI) In Logistics Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Generative Artificial Intelligence (AI) In Logistics Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

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, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software
  • Hardware
  • Solution
  • 6.3. Global Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premises
  • Cloud-Based
  • 6.4. Global Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Retail
  • Healthcare
  • Banking And Finance
  • Aerospace
  • Telecommunication
  • Technology
  • Other End-Users

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Generative Artificial Intelligence (AI) In Logistics Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence (AI) In Logistics Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Amazon Web Services Inc.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Intel Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Accenture plc
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. International Business Machines Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Generative Artificial Intelligence (AI) In Logistics Market Competitive Dashboard

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

35. Generative Artificial Intelligence (AI) In Logistics Market Future Outlook and Potential Analysis

  • 35.1 Generative Artificial Intelligence (AI) In Logistics Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence (AI) In Logistics Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence (AI) In Logistics Market In 2028 - 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