Table of Contents
1. Market Context & Strategic Relevance
1.1 Opening Context (Why the market matters)
1.1.1 Why This Market Is Gaining Strategic Attention
1.1.2 Business Decisions This Report Supports
1.2 Scope
1.3 Research & Methodology
2. Executive Summary
2.1 Market Snapshot
2.2 Market Absolute $ Opportunity Assessment & Y-o-Y Analysis, 2022–2035
2.3 Market Size & Forecast, By Segmentation, 2022–2035
2.3.1 Market Size By Component
2.3.2 Market Size By Technology Type
2.3.3 Market Size By Deployment
2.3.4 Market Size By End Use
2.4 Market Share & Bps Analysis By Region, 2025
2.5 Industry Growth Scenarios – Conservative, Likely & Optimistic
2.6 Industry CxO’s Perspective
3. Market Overview
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Key Market Trends
3.2 Industry PESTLE Analysis
3.3 Key Industry Forces (Porter’s) Impacting Market Growth
3.4 Industry Supply Chain Analysis
3.4.1 Cloud Compute, Foundation Model & Logistics Data Providers
3.4.2 Transportation, Warehouse & Supply Chain Software Vendors with AI Agents
3.4.3 System Integrators, Consultancies & Managed Service Providers
3.4.4 Carriers, Shippers, Ports, Freight Forwarders & Third-Party Logistics Operators
3.5 Industry Life Cycle Assessment
4. Statistical Insights & Trends Reporting
4.1 Logistics Digitization & Data Readiness Indicators
4.1.1 Share of Shipments with Real-Time Visibility Data
4.1.2 Transportation & Warehouse Management System Cloud Migration
4.1.3 Data Integration Across Carriers, Shippers & Ports
4.1.4 Digital Freight Brokerage Volume Growth
4.2 Generative AI Adoption in Operations
4.2.1 AI Agent Deployment in Transportation Planning
4.2.2 Automated Freight Quoting, Tendering & Exception Handling
4.2.3 Generative Demand and Network Scenario Simulation
4.2.4 Pilot-to-Production Conversion in Logistics Firms
4.3 Technology & Model Architecture Trends
4.3.1 Transformer-Based Model Adoption
4.3.2 Variational Autoencoder and GAN Use for Synthetic Data and Simulation
4.3.3 Cloud vs. On-Premises Model Hosting
4.3.4 Integration of Agents into Supply Chain Platforms
4.4 Mode-Specific Use Case Trends
4.4.1 Road Freight Routing & Load Matching Automation
4.4.2 Port and Shipping Schedule Optimization
4.4.3 Warehouse and Third-Party Logistics Process Automation
4.4.4 Air Freight and Rail Planning Applications
4.5 Governance, Security & Workforce Environment
4.5.1 Data Sharing and Confidentiality Requirements
4.5.2 AI Accuracy, Hallucination Control & Audit Practices
4.5.3 Regulatory Requirements for Automated Customs and Trade Documents
4.5.4 Workforce Reskilling and Human-in-the-Loop Practices
5. Generative AI in Logistics Market Segmental Analysis & Forecast, By Component, 2022–2035, Value (USD Billion)
5.1 Introduction
5.2 Software
5.2.1 Key Trends
5.2.2 Market Size & Forecast, 2022–2035
5.3 Services
6. Generative AI in Logistics Market Segmental Analysis & Forecast, By Technology Type, 2022–2035, Value (USD Billion)
6.1 Introduction
6.2 Variational Autoencoders
6.2.1 Key Trends
6.2.2 Market Size & Forecast, 2022–2035
6.3 Generative Adversarial Networks
6.4 Transformers
6.5 Others
7. Generative AI in Logistics Market Segmental Analysis & Forecast, By Deployment, 2022–2035, Value (USD Billion)
7.1 Introduction
7.2 Cloud
7.2.1 Key Trends
7.2.2 Market Size & Forecast, 2022–2035
7.3 On-Premises
8. Generative AI in Logistics Market Segmental Analysis & Forecast, By End Use, 2022–2035, Value (USD Billion)
8.1 Introduction
8.2 Road Transportation
8.2.1 Key Trends
8.2.2 Market Size & Forecast, 2022–2035
8.3 Shipping and Ports
8.4 Air Freight
8.5 Rail
8.6 Warehousing and Third-Party Logistics
8.7 Others
9. Generative AI in Logistics Market Segmental Analysis & Forecast By Region, 2022–2035, Value (USD Billion)
9.1 Introduction
9.2 North America
9.2.1 Key Trends
9.2.2 Generative AI in Logistics Market Size & Forecast, By Component, 2022–2035
9.2.3 Generative AI in Logistics Market Size & Forecast, By Technology Type, 2022–2035
9.2.4 Generative AI in Logistics Market Size & Forecast, By Deployment, 2022–2035
9.2.5 Generative AI in Logistics Market Size & Forecast, By End Use, 2022–2035
9.2.6 Generative AI in Logistics Market Size & Forecast, By Country, 2022–2035
9.2.6.1 USA
9.2.6.2 Canada
9.3 Europe
9.3.1 Key Trends
9.3.2 Generative AI in Logistics Market Size & Forecast, By Component, 2022–2035
9.3.3 Generative AI in Logistics Market Size & Forecast, By Technology Type, 2022–2035
9.3.4 Generative AI in Logistics Market Size & Forecast, By Deployment, 2022–2035
9.3.5 Generative AI in Logistics Market Size & Forecast, By End Use, 2022–2035
9.3.6 Generative AI in Logistics Market Size & Forecast, By Country, 2022–2035
9.3.6.1 Germany
9.3.6.2 UK
9.3.6.3 France
9.3.6.4 Italy
9.3.6.5 Spain
9.3.6.6 Russia
9.3.6.7 Poland
9.3.6.8 Rest of Europe
9.4 Asia-Pacific
9.4.1 Key Trends
9.4.2 Generative AI in Logistics Market Size & Forecast, By Component, 2022–2035
9.4.3 Generative AI in Logistics Market Size & Forecast, By Technology Type, 2022–2035
9.4.4 Generative AI in Logistics Market Size & Forecast, By Deployment, 2022–2035
9.4.5 Generative AI in Logistics Market Size & Forecast, By End Use, 2022–2035
9.4.6 Generative AI in Logistics Market Size & Forecast, By Country, 2022–2035
9.4.6.1 China
9.4.6.2 India
9.4.6.3 Japan
9.4.6.4 South Korea
9.4.6.5 Australia
9.4.6.6 ASEAN Countries
9.4.6.7 Rest of Asia-Pacific
9.5 Latin America
9.5.1 Key Trends
9.5.2 Generative AI in Logistics Market Size & Forecast, By Component, 2022–2035
9.5.3 Generative AI in Logistics Market Size & Forecast, By Technology Type, 2022–2035
9.5.4 Generative AI in Logistics Market Size & Forecast, By Deployment, 2022–2035
9.5.5 Generative AI in Logistics Market Size & Forecast, By End Use, 2022–2035
9.5.6 Generative AI in Logistics Market Size & Forecast, By Country, 2022–2035
9.5.6.1 Brazil
9.5.6.2 Argentina
9.5.6.3 Mexico
9.5.6.4 Colombia
9.5.6.5 Rest of Latin America
9.6 Middle East & Africa
9.6.1 Key Trends
9.6.2 Generative AI in Logistics Market Size & Forecast, By Component, 2022–2035
9.6.3 Generative AI in Logistics Market Size & Forecast, By Technology Type, 2022–2035
9.6.4 Generative AI in Logistics Market Size & Forecast, By Deployment, 2022–2035
9.6.5 Generative AI in Logistics Market Size & Forecast, By End Use, 2022–2035
9.6.6 Generative AI in Logistics Market Size & Forecast, By Country, 2022–2035
9.6.6.1 UAE
9.6.6.2 Saudi Arabia
9.6.6.3 Qatar
9.6.6.4 South Africa
9.6.6.5 Rest of Middle East & Africa
10. Competitive Landscape
10.1 Key Players' Positioning
10.2 Competitive Developments
10.2.1 Year-Wise Strategies & Development, 2022–2026
10.3 Market Share Analysis, 2025
10.4 Product/Service & Application Benchmarking
10.4.1 Product/Service Specifications & Features By Key Players
10.4.2 Product/Service Heatmap By Key Players
10.4.3 Application Heatmap By Key Players
10.5 Industry Start-Up & Innovation Landscape
10.6 Key Company Profiles
10.6.1 Blue Yonder Group, Inc.
10.6.1.1 Company Overview & Snapshot
10.6.1.2 Product/Service Portfolio
10.6.1.3 Key Company Financials
10.6.1.4 Geographical Presence
10.6.1.5 SWOT Analysis
10.6.2 Manhattan Associates, Inc.
10.6.3 project44, Inc.
10.6.4 FourKites, Inc.
10.6.5 Descartes Systems Group Inc.
10.6.6 Oracle Corporation
10.6.7 SAP SE
10.6.8 Kinaxis Inc.
10.6.9 C.H. Robinson Worldwide, Inc.
10.6.10 Uber Freight
10.6.11 Flexport, Inc.
10.6.12 Amazon Web Services, Inc.
10.6.13 Microsoft Corporation
10.6.14 Google LLC (Google Cloud)
10.6.15 HappyRobot
11. Analyst Recommendations
11.1 SNS Insider Opportunity Map
11.2 Industry Low-Hanging Fruit Assessment
11.3 Market Entry & Growth Strategy
11.4 Analyst Viewpoint & Suggestions On Market Growth
12. Assumptions
13. Disclaimer
14. Appendix
14.1 List Of Tables
14.2 List Of Figures
Frequently Asked Questions
Key players include Blue Yonder, Manhattan Associates, project44, FourKites, Descartes, Oracle, SAP, Kinaxis, C.H. Robinson, Uber Freight, Flexport, Amazon Web Services, Microsoft, Google Cloud and HappyRobot.
Key opportunities include digital trade corridors, AI-ready freight platforms, automation of procurement and documentation, and fast-growing Asia Pacific demand.
Automation of back-office work by AI agents, together with rising freight complexity, is the main growth factor.
By Component, the Software segment dominated the market in 2025 with an estimated 66.00% share, supported by agent platforms embedded in transportation and warehouse systems.
North America dominated the market with a share of 41.00% in 2025, driven by leading logistics software vendors and early adoption by brokers and carriers.