Key Insights into the Generative Artificial Intelligence (AI) in Logistics Market: Trends, Growth Rate, and Opportunities Through 2034
2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!
What Are the Primary Drivers Supporting the Market Growth of theGenerative Artificial Intelligence (AI) in Logistics Market?
Increasing e-commerce activity is expected to drive generative AI in logistics. The convenience of online shopping and the need for quick deliveries are pushing innovations in logistics. Generative AI helps by improving route planning, inventory tracking, and demand forecasting. As noted by the Census Bureau in May 2024, e-commerce sales hit $1,118.7 billion in 2023, with Q1 2024 showing an 8.5% year-over-year increase. This supports AI integration in logistics operations.
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#How Does the ProjectedGenerative Artificial Intelligence (AI) in Logistics Market Growth Compare Over the Forecast Period?
The generative AI in logistics market size will grow from $0.6 billion in 2024 to $0.8 billion in 2025, with a CAGR of 32.7%. The historic growth is attributed to the increasing demand for real-time data analysis, the growth of e-commerce, expansion of global supply chains, increasing industrial infrastructure, and the rise of warehouse automation.
The generative AI in logistics market size is expected to grow to $2.46 billion in 2029 at a CAGR of 32.4%. Growth drivers include demand for real-time data, IoT device use, AI technology investments, supply chain visibility, and enhanced customer experience. Key trends include technological advancements, autonomous vehicles, predictive analytics, robotic process automation, and digital twins.
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What Are the Latest Innovations Influencing theGenerative Artificial Intelligence (AI) in Logistics Market?
In the logistics market, companies are adopting advanced technologies like natural language interfaces to improve supply chain management. For example, FourKites launched FinAI in September 2023, a generative AI tool that uses natural language to optimize operations and automate tasks by analyzing large datasets of shipments and estimated times of arrival.
Who Are the Major Industry Players Accelerating Growth in theGenerative Artificial Intelligence (AI) in Logistics Market?
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.
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Which Primary Segments of the Generative Artificial Intelligence (AI) in Logistics Market Are Driving Growth and Industry Transformations?
The generative artificial intelligence (AI) in logistics market covered in this report is segmented –
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.
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Which Regions Are Key Players in the Growth of the #What Are the Primary Drivers Supporting the Market Growth of theGenerative Artificial Intelligence (AI) in Logistics Market?# Market?
North America was the largest region in the generative artificial intelligence (AI) in logistics market in 2024. 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.
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