DUBLIN: The "Generative Artificial Intelligence in Logistics - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering.

The global market for Generative Artificial Intelligence in Logistics was valued at US$1.3 Billion in 2024 and is projected to reach US$7.0 Billion by 2030, growing at a CAGR of 32.5% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Generative Artificial Intelligence in Logistics market.

The growth in the Generative Artificial Intelligence in Logistics market is driven by several factors, including the increasing demand for automation, rising e-commerce activity, and the need for cost-efficient and sustainable logistics solutions. The proliferation of IoT devices and their integration with AI systems enable real-time tracking, monitoring, and predictive analytics, significantly improving supply chain visibility and decision-making. The expansion of online retail and the expectation of fast, reliable deliveries have further fueled the adoption of generative AI to enhance last-mile logistics.

Generative AI's ability to analyze consumer behavior and tailor delivery solutions has also played a significant role in its widespread adoption. Logistics providers are leveraging AI to personalize services, improve customer retention, and meet the demands of a rapidly evolving market. Additionally, government initiatives and investments in AI infrastructure, along with the growing focus on digital transformation in logistics, are accelerating market growth. These factors collectively highlight the indispensable role of generative AI in shaping the future of logistics, enabling businesses to thrive in an increasingly complex and competitive landscape.

How Is Generative AI Redefining Logistics Operations?

Generative Artificial Intelligence is transforming logistics by introducing innovative methods to enhance efficiency, accuracy, and decision-making across the supply chain. Traditional logistics systems often suffer from inefficiencies, delays, and high costs due to their dependence on manual oversight and fragmented processes. Generative AI addresses these challenges by utilizing predictive analytics, advanced modeling, and real-time data processing to optimize every stage of logistics operations. This technology enables companies to forecast demand, streamline inventory management, and minimize operational costs by aligning resources with dynamic market needs. AI's ability to simulate and predict future scenarios allows logistics providers to respond proactively to potential disruptions, such as weather changes, supply shortages, or geopolitical tensions.

In addition to these advancements, generative AI is improving route optimization and fleet management by analyzing real-time traffic data, weather forecasts, and fuel consumption patterns. This ensures faster deliveries while reducing environmental impact through lower emissions and resource use. Warehouse automation is another critical area where AI is making a significant impact, enabling faster sorting, packing, and delivery processes. With these capabilities, generative AI is setting a new benchmark for efficiency and reliability in logistics.

Why Are Businesses Rapidly Adopting Generative AI in Logistics?

The rapid adoption of generative AI in logistics can be attributed to its ability to deliver measurable value through cost savings, operational efficiency, and enhanced customer satisfaction. Businesses are leveraging generative AI to improve predictive maintenance of their assets, such as vehicles and machinery. By analyzing data from IoT sensors and historical maintenance records, AI can identify potential equipment failures before they occur, preventing costly downtimes and disruptions. This proactive approach extends the lifespan of critical infrastructure and minimizes operational risks.

Dynamic pricing is another area where generative AI is making a significant impact. By analyzing supply-demand trends, competitor strategies, and market conditions in real time, logistics providers can adjust their pricing models to maximize revenue and competitiveness. Additionally, generative AI enhances customer engagement through hyper-personalized services, such as tailored delivery options and real-time shipment updates. These capabilities not only boost customer loyalty but also differentiate businesses in a highly competitive market. Companies are increasingly viewing generative AI as a strategic investment that drives both immediate operational improvements and long-term innovation.

How Does Generative AI Help Overcome Global Supply Chain Challenges?

The global logistics sector has faced unprecedented challenges, including supply chain disruptions caused by pandemics, geopolitical conflicts, and climate change. Generative AI is emerging as a critical solution to these challenges, offering resilience and adaptability in uncertain times. AI-driven systems can simulate a wide range of potential disruptions, allowing companies to prepare contingency plans and optimize supply chain networks accordingly. This ensures that logistics providers can maintain operations even under adverse conditions, reducing delays and maintaining customer trust.

Moreover, sustainability is becoming a key focus in logistics, and generative AI plays a vital role in achieving these goals. By optimizing routes, reducing fuel consumption, and improving load planning, AI-driven logistics solutions significantly lower carbon footprints. Blockchain integration with AI is another important trend, enhancing transparency and accountability across the supply chain. This ensures that products are sourced and handled ethically, meeting the growing demand for environmentally and socially responsible logistics practices. Together, these advancements demonstrate how generative AI is not only addressing immediate operational challenges but also driving the long-term transformation of the logistics industry.

Report Scope

Key Insights:

• Market Growth: Understand the significant growth trajectory of the Logistics Solutions segment, which is expected to reach US$4.2 Billion by 2030 with a CAGR of a 34.5%. The Logistics Software segment is also set to grow at 29.9% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, valued at $341.3 Million in 2024, and China, forecasted to grow at an impressive 30.7% CAGR to reach $1.1 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of players such as Accenture Plc, Blue Yonder Group, Inc., C.H. Robinson Worldwide, Inc., Cognizant Technology Solutions Corporation, Coupa Software Inc. and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Segments:

• Component (Logistics Solutions, Logistics Software)
• Deployment (Cloud-based Deployment, On-Premise Deployment)

Tariff Impact Analysis: Key Insights for 2025

Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.

The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.

Key Attributes:

Key Topics Covered:

MARKET OVERVIEW

• Influencer Market Insights
• Tariff Impact on Global Supply Chain Patterns
• Economic Frontiers: Trends, Trials & Transformations
• Generative Artificial Intelligence in Logistics - Global Key Competitors Percentage Market Share in 2024 (E)
• Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)

MARKET TRENDS & DRIVERS

• Generative AI Spurs Growth in Supply Chain Optimization and Predictive Logistics
• Expansion of AI-Powered Demand Forecasting Broadens Addressable Market for Logistics Providers
• Increased Adoption of Autonomous Vehicles Propels Integration of AI in Last-Mile Delivery
• AI-Driven Route Optimization Drives Cost Efficiency in Freight Transportation
• Generative AI Strengthens the Business Case for Real-Time Shipment Tracking Solutions
• AI-Based Inventory Management Systems Enhance Operational Efficiency Across Warehousing
• Integration with IoT Devices Sustains Growth in Smart Logistics Networks
• AI-Powered Risk Management Tools Propel Adoption in Freight and Cargo Operations
• Generative AI Addresses Labor Shortages by Enabling Automation in Key Logistics Functions
• AI Innovations Expand Opportunities in Cross-Border Logistics and Customs Processing
• Data Security and Privacy Concerns Challenge Widespread Adoption of AI in Logistics
• AI-Enhanced Customer Engagement Tools Drive Transformation in Delivery Experience
• Generative AI Creates New Frontiers in Sustainability with Eco-Friendly Logistics Solutions

FOCUS ON SELECT PLAYERS: Some of the 34 companies featured in this Generative Artificial Intelligence in Logistics report

• Accenture Plc
• Blue Yonder Group, Inc.
• C.H. Robinson Worldwide, Inc.
• Cognizant Technology Solutions Corporation
• Coupa Software Inc.
• Epicor Software Corporation
• FourKites
• IBM Corporation
• Intel Corporation
• LeewayHertz

For more information about this report visit https://www.researchandmarkets.com/r/q8ib2e

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Fonte: Business Wire