Table Of Contents
1. Introduction
1.1 Market Definition & Scope
1.2 Research Assumptions & Abbreviations
1.3 Research Methodology
2. Executive Summary
2.1 Market Snapshot
2.2 Market Absolute $ Opportunity Assessment & Y-o-Y Analysis, 2021–2032
2.3 Market Size & Forecast, By Segmentation, 2021–2032
2.3.1 Market Size By Deployment Mode
2.3.2 Market Size By End User
2.3.3 Market Size By Type
2.4 Market Share & Bps Analysis By Region, 2024
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 Raw Material Suppliers
3.4.2 Manufacturers
3.4.3 Distributors/Suppliers
3.4.4 Customers/End-Users
3.5 Industry Life Cycle Assessment
3.6 Parent Market Overview
3.7 Market Risk Assessment
4. Statistical Insights & Trends Reporting
4.1 Technology Adoption & Usage Metrics
4.1.1 Overview
4.1.2 % of Logistics Companies Deploying Generative AI Solutions
4.1.3 Share of AI Use Cases
4.1.4 Average AI Model Training Cost per Logistics Enterprise (USD)
4.1.5 Cloud vs. On-Premise Deployment Split (%)
4.2 Operational Efficiency Metrics
4.2.1 Overview
4.2.2 Reduction in Route Planning Time with Generative AI (%)
4.2.3 Average Cost Savings per Shipment Using AI-Generated Optimization (USD)
4.2.4 Improvement in Load Utilization Rates (%)
4.2.5 Reduction in Administrative/Documentation Errors (%)
4.3 Workforce & Skill Development Metrics
4.3.1 Overview
4.3.2 % of Workforce Trained in Generative AI Applications
4.3.3 Average Training Investment per Employee (USD)
4.3.4 Impact on Job Role Shifts (Planners, Dispatchers, Analysts)
4.3.5 Human-in-the-Loop Adoption Rate in Logistics AI Models
4.4 Risk & Security Metrics
4.4.1 Overview
4.4.2 % of Logistics Companies Concerned About Data Security in Generative AI
4.4.3 Number of AI-Related Cybersecurity Breach Incidents Reported
4.4.4 Regulatory Compliance Rate (GDPR, CCPA, Supply Chain Security Standards)
4.4.5 Error or Bias Rate in AI-Generated Forecasting Models (%)
4.5 Sustainability & Environmental Metrics
4.5.1 Overview
4.5.2 % Fuel Savings from AI-Optimized Routing
4.5.3 Reduction in CO₂ Emissions per Shipment (Kg/ton)
4.5.4 Waste Reduction in Packaging via AI-Generated Designs (%)
4.5.5 Adoption Rate of Green Logistics Enabled by Generative AI (%)
5. Generative AI in Logistics Market Segmental Analysis & Forecast, By Deployment Mode, 2021 – 2032, Value (Usd Million)
5.1 Introduction
5.2 Cloud Based
5.2.1 Key Trends
5.2.2 Market Size & Forecast, 2021 – 2032
5.3 On-premise
6. Generative AI in Logistics Market Segmental Analysis & Forecast, By End User, 2021 – 2032, Value (Usd Million)
6.1 Introduction
6.2 Road transportation
6.2.1 Key Trends
6.2.2 Market Size & Forecast, 2021 – 2032
6.3 Railway transportation
6.4 Aviation
6.5 Shipping, and ports
7. Generative AI in Logistics Market Segmental Analysis & Forecast, By Type, 2021 – 2032, Value (Usd Million)
7.1 Introduction
7.2 Variational Autoencoder (VAE)
7.2.1 Key Trends
7.2.2 Market Size & Forecast, 2021 – 2032
7.3 Generative Adversarial Networks (GANs)
7.4 Recurrent Neural Networks (RNNs)
7.5 Long Short-Term Memory (LSTM) networks
7.6 Others
8. Generative AI in Logistics Market Segmental Analysis & Forecast By Region, 2021 – 2025, Value (Usd Million)
8.1 Introduction
8.2 North America
8.2.1 Key Trends
8.2.2 Generative AI in Logistics Market Size & Forecast, By Deployment Mode, 2021 – 2032
8.2.3 Generative AI in Logistics Market Size & Forecast, By End User, 2021 – 2032
8.2.4 Generative AI in Logistics Market Size & Forecast, By Type, 2021 – 2032
8.2.5 Generative AI in Logistics Market Size & Forecast, By Country, 2021 – 2032
8.2.5.1 USA
8.2.5.2 Canada
8.3 Europe
8.3.1 Key Trends
8.3.2 Generative AI in Logistics Market Size & Forecast, By Deployment Mode, 2021 – 2032
8.3.3 Generative AI in Logistics Market Size & Forecast, By End User, 2021 – 2032
8.3.4 Generative AI in Logistics Market Size & Forecast, By Type, 2021 – 2032
8.3.5 Generative AI in Logistics Market Size & Forecast, By Country, 2021 – 2032
8.3.5.1 Germany
8.3.5.2 UK
8.3.5.3 France
8.3.5.4 Italy
8.3.5.5 Spain
8.3.5.6 Russia
8.3.5.7 Poland
8.3.5.8 Rest of Europe
8.4 Asia-Pacific
8.4.1 Key Trends
8.4.2 Generative AI in Logistics Market Size & Forecast, By Deployment Mode, 2021 – 2032
8.4.3 Generative AI in Logistics Market Size & Forecast, By End User, 2021 – 2032
8.4.4 Generative AI in Logistics Market Size & Forecast, By Type, 2021 – 2032
8.4.5 Generative AI in Logistics Market Size & Forecast, By Country, 2021 – 2032
8.4.5.1 China
8.4.5.2 India
8.4.5.3 Japan
8.4.5.4 South Korea
8.4.5.5 Australia
8.4.5.6 ASEAN Countries
8.4.5.7 Rest of Asia-Pacific
8.5 Latin America
8.5.1 Key Trends
8.5.2 Generative AI in Logistics Market Size & Forecast, By Deployment Mode, 2021 – 2032
8.5.3 Generative AI in Logistics Market Size & Forecast, By End User, 2021 – 2032
8.5.4 Generative AI in Logistics Market Size & Forecast, By Type, 2021 – 2032
8.5.5 Generative AI in Logistics Market Size & Forecast, By Country, 2021 – 2032
8.5.5.1 Brazil
8.5.5.2 Argentina
8.5.5.3 Mexico
8.5.5.4 Colombia
8.5.5.5 Rest of Latin America
8.6 Middle East & Africa
8.6.1 Key Trends
8.6.2 Generative AI in Logistics Market Size & Forecast, By Deployment Mode, 2021 – 2032
8.6.3 Generative AI in Logistics Market Size & Forecast, By End User, 2021 – 2032
8.6.4 Generative AI in Logistics Market Size & Forecast, By Type, 2021 – 2032
8.6.5 Generative AI in Logistics Market Size & Forecast, By Country, 2021 – 2032
8.6.5.1 UAE
8.6.5.2 Saudi Arabia
8.6.5.3 Qatar
8.6.5.4 Egypt
8.6.5.5 South Africa
8.6.5.6 Rest of Middle East & Africa
9. Competitive Landscape
9.1 Key Players' Positioning
9.2 Competitive Developments
9.2.1 Key Strategies Adopted (%), By Key Players, 2024
9.2.2 Year-Wise Strategies & Development, 2021 – 2025
9.2.3 Number Of Strategies Adopted By Key Players, 2024
9.3 Market Share Analysis, 2024
9.4 Product/Service & Application Benchmarking
9.4.1 Product/Service Specifications & Features By Key Players
9.4.2 Product/Service Heatmap By Key Players
9.4.3 Application Heatmap By Key Players
9.5 Industry Start-Up & Innovation Landscape
9.6 Key Company Profiles
9.6.1 Deutsche Post AG
9.6.1.1 Company Overview & Snapshot
9.6.1.2 Product/Service Portfolio
9.6.1.3 Key Company Financials
9.6.1.4 SWOT Analysis
9.6.2 UPS (United Parcel Services)
9.6.3 Schneider Electric
9.6.4 C.H. Robinson
9.6.5 XPO Logistics
9.6.6 FedEx Corp
9.6.7 A.P. Moller - Maersk AS
9.6.8 Blue Yonder
9.6.9 Google Cloud
9.6.10 International Business Machines (IBM)
9.6.11 Microsoft
9.6.12 PackageX
9.6.13 Salesforce
9.6.14 NVIDIA
9.6.15 SAP
9.6.16 Oracle
9.6.17 Celonis
9.6.18 Flexport
9.6.19 PostNL
9.6.20 Inoru
10. Analyst Recommendations
10.1 SNS Insider Opportunity Map
10.2 Industry Low-Hanging Fruit Assessment
10.3 Market Entry & Growth Strategy
10.4 Analyst Viewpoint & Suggestions On Market Growth
11. Assumptions
12. Disclaimer
13. Appendix
13.1 List Of Tables
13.2 List Of Figures
