ロジスティクスにおけるジェネレーティブ人工知能（AI）の世界市場レポート 2025年

ロジスティクスにおけるジェネレーティブ人工知能（AI）市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR32.4％で24億6,000万米ドルに成長します。予測期間の成長は、リアルタイムデータに対する需要の増加、IoTデバイスの利用の増加、AI技術への投資の増加、サプライチェーンの可視性に対するニーズの高まり、顧客体験の向上に対する需要の高まりに起因しています。予測期間における主な動向には、技術の進歩、自律走行車、予測分析、ロボットによるプロセス自動化、デジタルツインなどがあります。

予想されるeコマース売上高の増加は、ロジスティクス分野における生成人工知能（AI）の進歩を促進すると予想されます。その利便性、幅広い商品群、デジタル技術の台頭によりeコマースが普及するにつれ、在庫管理の合理化、ルート計画の改善、需要予測に生成的AIがますます活用され、効率化とコスト削減につながります。例えば、2024年5月、商務省国勢調査局の報告書によると、2023年のeコマースの売上高は約1兆1,187億米ドルであったことが明らかになりました。2024年第1四半期の小売総売上高は約1兆8,200億米ドルで、小売総売上高の2.8％増に対し、eコマースの売上高は2023年同期比で8.5％増となりました。このeコマースの成長が、物流市場におけるジェネレーティブAIの拡大に拍車をかけています。

ジェネレーティブAI物流市場の主要プレーヤーは、サプライチェーン管理における業務効率と精度を高めるため、自然言語インターフェースなどの最先端技術の採用に注力しています。自然言語インターフェースは、ユーザーが日常的な言語を使用してサプライチェーン管理ソフトウェアと対話することを可能にし、専門的な技術的専門知識を必要とせずに、データ照会、レポート生成、運用管理を簡素化します。例えば、2023年9月、米国のサプライチェーンの可視化とロジスティクステクノロジー企業であるFourKites, Inc.は、サプライチェーン管理を改善するために設計された生成AIツールであるFinAIを発表しました。FinAIは自然言語インターフェースを活用し、1日あたり300万件の出荷、1,800万件の到着予定時刻（ETA）、年間追跡距離620億マイルなど膨大な量のデータを分析することで、洞察を引き出し、タスクを自動化し、オペレーションを最適化します。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、新型コロナウイルス感染症、そして景気回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界ロジスティクスにおけるジェネレーティブ人工知能（AI） PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：成長率分析
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場の実績：規模と成長, 2019-2024
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場の予測：規模と成長, 2024-2029, 2034F
• 世界ロジスティクスにおけるジェネレーティブ人工知能（AI）総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 変分オートエンコーダ（VAE）
• 生成的敵対ネットワーク（GAN）
• リカレントニューラルネットワーク（RNN）
• 長短期記憶（LSTM）ネットワーク
• その他のタイプ
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：コンポーネント別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ソフトウェア
• ハードウェア
• ソリューション
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：展開モード別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• クラウドベース
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 倉庫管理
• ルート最適化
• 在庫管理
• サプライチェーン分析
• ラストマイル配送の最適化
• カスタマーサービス業務
• その他の用途
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 小売り
• ヘルスケア
• 銀行・金融
• 航空宇宙
• 通信
• テクノロジー
• その他のエンドユーザー
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場変分オートエンコーダ（VAE）のサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• 需要予測モデル
• 物流業務における異常検出
• 車両管理のための予測メンテナンス
• 不完全な記録のデータ補完
• サプライチェーン最適化ソリューション
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場敵対的生成ネットワーク（GAN）の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• トレーニングモデルのための合成データ生成
• ルート最適化とシミュレーション
• 在庫および資産管理のための画像生成
• 出荷・配送における不正検出
• シナリオシミュレーションによる製品需要予測
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場、リカレントニューラルネットワーク（RNN）のサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• 需要予測のための時系列分析
• 出荷追跡と予測
• 配送サービスにおける顧客行動予測
• 在庫管理予測
• 配達時間見積モデル
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場、タイプ別長短期記憶（LSTM）ネットワークのサブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• 高度な時系列予測
• サプライチェーンパフォーマンスの予測分析
• 輸送最適化モデル
• 注文履行予測
• キャパシティプランニングとリソース割り当て
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場、その他のタイプのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ルート最適化のための強化学習
• 複数のAIアプローチを組み合わせたハイブリッドモデル
• リアルタイムデータ分析のためのフローベースモデル
• 自己教師学習技術
• 現場での意思決定のためのエッジAI

第7章 地域別・国別分析

• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のロジスティクスにおけるジェネレーティブ人工知能（AI）市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• ロジスティクスにおけるジェネレーティブ人工知能（AI）市場：競合情勢
• ロジスティクスにおけるジェネレーティブ人工知能（AI）市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• ロジスティクスにおけるジェネレーティブ人工知能（AI）市場2029：新たな機会を提供する国
• ロジスティクスにおけるジェネレーティブ人工知能（AI）市場2029：新たな機会を提供するセグメント
• ロジスティクスにおけるジェネレーティブ人工知能（AI）市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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