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Generative AI in Logistics Market Share

Report ID: GMI10098
Published Date: Jul 2024
Report Format: PDF

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Generative AI in Logistics Market Share

Google Cloud and IBM dominate the generative AI in logistics industry, holding market share over 15%. Google Cloud's AI and ML capabilities, including TensorFlow and AutoML, empower logistics companies to develop sophisticated generative AI models. Its cloud infrastructure provides scalability and agility, enabling real-time data processing and analysis for logistics optimization. Google's expertise in data analytics and AI-driven insights helps logistics companies improve supply-chain visibility, demand forecasting, and route optimization.

IBM's AI offerings, such as Watson AI and IBM Cloud Pak for Data, provide advanced generative AI capabilities tailored for the logistics industry. Its AI-driven solutions enable predictive analytics, anomaly detection, and intelligent decision-making in logistics processes. IBM's expertise in hybrid cloud and edge computing facilitates AI deployment across distributed logistics networks, ensuring low latency and data privacy.

Generative AI in Logistics Market Company

Major players operating in the generative AI in logistics industry are:

Blue Yonder
C. H. Robinson
FedEx Corp
Google Cloud
International Business Machines (IBM)
Microsoft
PackageX
Salesforce

Authors: Preeti Wadhwani, Aishwarya Ambekar

Frequently Asked Questions (FAQ) :

The generative AI in logistics market was valued at USD 864.3 million in 2023 and is estimated to register over 33.2% CAGR between 2024 and 2032, as it helps optimize supply chains by predicting demand for identifying potential disruptions.

The variational autoencoder (VAE) segment of the generative AI in logistics market is expected to hold over 30% revenue share by 2032, as they can simulate various risk scenarios in logistics, allowing companies to better prepare for and mitigate risks.

North America generative AI in the logistics market generated over USD 274 million in revenue in 2023 and will expand rapidly through 2032, owing to the developed IT infrastructure, that supports the implementation of complex generative AI models in logistics.

Blue Yonder, C. H. Robinson, FedEx Corp, Google Cloud, International Business Machines (IBM), Microsoft, PackageX, and Salesforce among others.