Global Generative AI in Logistics Market Zooming 14X to Touch USD 16 Billion by 2031

Published | 09 January 2025

Global Generative AI in Logistics Market is flourishing because of the rising adoption of automation and AI technologies to optimize supply chain processes and growing need for enhanced decision-making capabilities in logistics operations.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Global Generative AI in Logistics Market size at USD 1.10 billion in 2024. During the forecast period between 2025 and 2031, BlueWeave expects Global Generative AI in Logistics Market size to expand at a robust CAGR of 44.20% reaching a value of USD 15.60 billion by 2031. Increasing investments in artificial intelligence (AI) to standardize procedures and improve last-mile delivery is one of the key growth drivers for Global Generative AI in Logistics Market. The logistics industry benefits from generative AI in a number of ways, including supply chain automation, demand forecasting, warehousing and inventory management, and route optimization, which enables business actors to make informed choices instantly.

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Opportunity - Advancements in AI Technology and Data Availability

Rising investments in and evolution of AI technologies are projected to present lucrative growth opportunities for Global Generative AI in Logistics Market. AI models are now able to leverage vast amounts of data being generated from IoT devices, GPS, and other sensors in logistics operations that can be used to train these systems and generate highly accurate predictions and optimizations. Furthermore, advancements in machine learning (ML) algorithms, natural language processing (NLP), and neural networks are constantly improving the ability of generative AI to analyze vast datasets and automate decision-making. These advancements make generative AI more accessible and effective for logistics companies, leading to their rapid adoption across the sector.

Impact of Escalating Geopolitical Tensions on Global Generative AI in Logistics Market

Intensifying geopolitical tensions could propel the growth of Global Generative AI in Logistics Market. The global supply chain is disrupted by geopolitical conflicts because of trade restrictions, border closures, and delays in transit. These disruptions pushed the use of generative AI in the logistics industry to address these obstacles. Through route optimization, demand fluctuation predictions, and the discovery of other suppliers and routes, generative AI is being utilized to anticipate and lessen these interruptions. Geopolitical conflicts, however, may also present serious obstacles for the generative AI industry because of the scarcity of real-time consumer data needed to train these AI systems, which might affect the accuracy of AI models.

Route Optimization Leads Global Generative AI Logistics Market

The route optimization segment holds the largest share of Global Generative AI in Logistics Market. In the logistics industry, generative AI is frequently used to improve routes by analyzing historical data, current traffic conditions, and other variables. In order to cut down on delivery times and transportation expenses, the analysis is then utilized to create effective transportation strategies. The demand forecasting segment also covers substantial market share. Supply chain managers may use generative AI to automate ordering plans to keep inventory levels up to date and forecast future trends based on historical data.

North America Dominates Global Generative AI in Logistics Market

North America holds a major market share in Global Generative AI in Logistics Market. The adoption of generative AI in the logistics sector is directly fueled by the presence of industry giants in this field, such as Google, AWS, OpenAI, and IBM in the region. Logistics companies in the United States are employing modern technologies, such as generative AI, for numerous objectives, such as tracking customer behavior and historical sales data, optimizing production planning, and conducting risk anticipation. Such cases increase the logistics industry's operational resilience and productivity, which encourages this sector to incorporate generative AI into their operations.

Competitive Landscape

The major industry players of global Generative AI in Logistics market include Blue Yonder, C. H. Robinson, FedEx Corp., Google Cloud, IBM, Microsoft, PackageX, Salesforce, Deutsche Post AG, Schneider Electric, and A.P. Moller – Maersk. The presence of high number of companies intensify the market competition as they compete to gain a significant market share. These companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches to further enhance their market share.

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The in-depth analysis of the report provides information about growth potential, upcoming trends, and Global Generative AI in Logistics Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Generative AI in Logistics Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Scope of the Report

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