AI in Logistics Market to Surge to USD 306.76 Billion by 2032, Growing at an Extraordinary 42% CAGR | North America Leads with Advanced Tech Infrastructure | DataM Intelligence

Leander, Texas and Tokyo, Japan - Dec 08, 2025
According to DataM Intelligence, the Global AI in Logistics Market reached US$ 15.28 billion in 2024 and is projected to reach US$ 306.76 billion by 2032, expanding at a compound annual growth rate (CAGR) of 42% during the forecast period 2025-2032. Key growth drivers include the critical need for supply chain resilience and transparency, soaring demand for warehouse automation to combat labor shortages, the optimization of last-mile delivery in e-commerce, and the imperative to reduce operational costs and carbon footprints through intelligent route and load planning.

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Report Details:
• Pages: 180
• Forecast Period: 2025-2032
• Market Size (2024): US$ 15.28 Billion
• Market Size (2032): US$ 306.76 Billion
• CAGR: 42%
• Coverage: Global

Global Recent Developments:
• November 2025: NVIDIA unveiled a new edge AI computing platform specifically designed for autonomous forklifts and yard trucks, enabling real-time object recognition and fleet coordination in complex warehouse environments without constant cloud connectivity.
• October 2025: DHL Supply Chain and Microsoft announced a global partnership to deploy a generative AI copilot for logistics managers, designed to automate complex tasks like contract analysis, exception management, and drafting customer communications.
• September 2025: Amazon Web Services, Inc. launched "AWS Supply Chain Sage," a new service combining large language models (LLMs) with real-time data streams to predict disruptions, recommend alternative routes/suppliers, and automatically generate risk mitigation plans.

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Competitive Landscape
The market features a dynamic mix of technology giants, logistics service providers, and enterprise software leaders.

1. NVIDIA and Intel Corporation are foundational technology providers, supplying the advanced AI chips and hardware necessary for edge computing in autonomous vehicles and warehouse robotics.
2. Amazon Web Services, Inc., Microsoft Corporation, and IBM Corporation are leading the cloud AI platform charge, offering the machine learning and data analytics services upon which logistics companies build their intelligent solutions.
3. UPS, DHL, and FedEx Corporation are not just end-users but key innovators, developing and deploying proprietary AI for route optimization, predictive network management, and automated sorting facilities.
4. SAP SE and Oracle (implicit leader in enterprise software) are integrating AI directly into their supply chain management (SCM) and transportation management (TMS) suites, enabling AI-driven planning and execution.
5. Infosys and other global system integrators are crucial partners for enterprises, providing the services to implement and customize AI solutions across complex logistics operations.

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Segmentation Analysis
By Technology:
o Machine Learning (ML) is the core and dominant technology, powering predictive analytics for demand forecasting, dynamic routing, and predictive maintenance of logistics assets.
o Computer Vision is critical for automation, enabling applications in autonomous guided vehicles (AGVs), robotic picking/packing, and automated damage detection in freight.

By Application:
o Self-driving Vehicles and Forklifts represent a high-growth, transformative segment, offering major gains in warehouse efficiency, safety, and 24/7 operational capability.
o Planning and Forecasting is the largest application area, where AI algorithms analyze vast datasets to optimize inventory levels, predict demand spikes, and mitigate supply chain risks.
o Automation of Ordering and Processing leverages AI and Natural Language Processing (NLP) to automate purchase orders, invoices, and customs documentation, reducing errors and administrative overhead.

By Deployment Type:
o Cloud-based deployment dominates due to the scalability required for processing massive datasets and the ease of accessing advanced AI services from major cloud providers.

By End-Use Industry:
o Retail & E-commerce is the leading driver, fueled by the need for hyper-efficient fulfillment, personalized delivery options, and seamless returns management.
o Manufacturing relies on AI for just-in-time material delivery, production line synchronization, and finished goods logistics.
o Healthcare is a high-stakes growth sector, utilizing AI for optimizing the temperature-controlled (cold chain) logistics of pharmaceuticals and medical supplies.

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Regional Analysis:
North America leads the AI in logistics market. This leadership is attributed to its advanced technological infrastructure, significant investments in AI research and development, and a robust ecosystem of tech companies and logistics innovators pushing the boundaries of automation and data analytics.

Europe is a major market with strong growth, driven by stringent regulations on supply chain transparency (e.g., CSRD), high labor costs incentivizing automation, and the presence of leading automotive and manufacturing industries.
Asia-Pacific is anticipated to be the fastest-growing region, powered by its massive manufacturing base, booming e-commerce markets (especially in China and India), and rapid adoption of digital technologies in logistics operations.

Market Trends & Drivers
The AI in Logistics Market is transitioning from point solutions to end-to-end intelligent supply chains. Key trends include the rise of "cognitive" supply chains powered by generative AI for strategic decision support; the integration of AI with Internet of Things (IoT) sensors for real-time, condition-aware tracking; the development of autonomous middle-mile and last-mile delivery networks; and the growing use of digital twins to simulate and optimize entire logistics networks before implementation. The core, interconnected drivers are the relentless growth of e-commerce, global supply chain volatility, the sustainability mandate to reduce empty miles and emissions, and the transformative potential of autonomy.

Related Reports:
1. Warehouse Robotics Market - https://www.datamintelligence.com/research-report/warehouse-robotics-market?jd
2. Supply Chain Management (SCM) Market - https://www.datamintelligence.com/research-report/supply-chain-management-market?jd
3. Autonomous Last Mile Delivery Market - https://www.datamintelligence.com/research-report/autonomous-last-mile-delivery-market?jd

Contact Us:
Sai Kiran
DataM Intelligence 4market Research LLP
Phone: +1 877-441-4866
Email: Sai.k@datamintelligence.com

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