AI in Logistics Market to Reach US$ 306.76 Billion by 2032 at 42% CAGR, Led by North America's 35% Share and Key Players NVIDIA, AWS & UPS

The AI in Logistics Market reached US$ 15.28 billion in 2024 and is projected to surge to US$ 306.76 billion by 2032, expanding at an exceptional CAGR of 42% during 2025-2032. This rapid growth reflects the increasing need for faster, more efficient, and resilient logistics operations across global supply chains. Strong momentum from e-commerce, rising demand for automation, and the push to reduce operational costs are driving widespread adoption.

Within logistics networks, intelligent systems are transforming warehouse automation, route optimization, inventory planning, freight management, and customer service. Enhanced data analytics, real-time visibility, and predictive decision-making are enabling logistics providers to operate with greater accuracy and speed. As companies prioritize supply chain resilience, scalability, and last-mile efficiency, the adoption of advanced technologies is expected to accelerate sharply, firmly positioning this market for continued high growth.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):- https://www.datamintelligence.com/download-sample/ai-in-logistics-market?sai-v

AI in Logistics Market refers to the industry that applies advanced algorithms and automation tools to optimize supply chain operations, including route planning, demand forecasting, inventory management, and warehouse efficiency.

Key Developments
United States
✅ March 2025: Major U.S. tech companies reported that generative AI and autonomous AI agents are transforming logistics through improved demand forecasting, optimized routing, and real-time fleet scheduling, cutting operational costs significantly.

✅ August 2025: U.S. warehouse automation providers expanded deployment of AI-powered robots and vision systems to enhance picking accuracy, reduce cycle times, and streamline last-mile fulfillment.

✅ April 2025: U.S. research institutions demonstrated new AI-driven sustainable logistics models that optimize vehicle routing based on environmental parameters, reducing carbon emissions across transport networks.

Japan
✅ March 2025: Market research in Japan highlighted strong acceleration in AI adoption across logistics, particularly in predictive analytics, AI-enabled warehouse automation, and autonomous transport systems.

Mergers & Acquisitions
United States
✅ May 2025: A leading global logistics software provider completed a multibillion-dollar acquisition of a U.S.-based supply chain software company, strengthening its AI-powered global trade and logistics optimization capabilities.

✅ March 2025: Several U.S. AI-driven logistics startups secured major funding rounds to advance LLM-powered logistics assistants for automated quoting, dispatch scheduling, and freight management workflows.

Key Players:
NVIDIA | Amazon Web Services, Inc. (AWS) | UPS | DHL | Microsoft Corporation | Infosys | IBM Corporation | Intel Corporation | FedEx Corporation | SAP SE

Key Highlights:
• NVIDIA - Holds 15.9% market share, driven by its AI accelerators, GPUs, and real-time analytics platforms widely adopted in logistics, automation, and supply-chain optimization.

• Amazon Web Services, Inc. (AWS) - Accounts for 14.2% share, supported by its cloud infrastructure, logistics intelligence tools, and AI-enabled fleet and warehouse management solutions.

• UPS - Maintains 12.4% market share, fueled by advanced logistics networks, autonomous delivery innovations, and AI-powered route optimization systems.

• DHL - Holds 11.7% share, backed by strong investments in digital logistics, robotics, automated warehousing, and AI-enabled cross-border supply-chain solutions.

• Microsoft Corporation - Contributes 10.6% share, driven by Azure cloud, AI-driven supply-chain suites, and enterprise automation platforms.

• IBM Corporation - Holds 8.9% share, supported by AI-powered optimization, blockchain-enabled tracking, and enterprise logistics automation systems.

• FedEx Corporation - Accounts for 7.5% share, propelled by digital logistics integration, automated last-mile solutions, and AI-based shipment tracking systems.

• Intel Corporation - Maintains 6.8% share, driven by edge computing processors, IoT solutions for smart warehouses, and AI hardware for logistics automation.

• Infosys - Holds 6.1% share, backed by digital transformation services, AI-enabled supply-chain platforms, and logistics process optimization solutions.

• SAP SE - Contributes 5.9% share, supported by its global ERP dominance, AI-powered supply-chain planning modules, and integrated logistics management solutions.

Purchase this report before year-end and unlock an exclusive 30% discount: https://www.datamintelligence.com/buy-now-page?report=ai-in-logistics-market?sai-v

(Purchase 2 or more Reports and get 50% Discount)

Market Drivers
• Increasing demand for real-time visibility across supply chains is driving adoption of AI-powered predictive analytics and tracking systems in logistics operations.

• Rising complexity in last-mile delivery and e-commerce fulfillment is accelerating AI deployment to optimize route planning, load balancing, and delivery scheduling.

• Growing need to reduce operational costs, improve efficiency, and minimize fuel consumption is encouraging logistics firms to use AI-driven automation and predictive maintenance.

• Expansion of autonomous vehicles and robotics for warehouse and transportation management is boosting AI integration to improve safety and decision-making.

• Strong push toward digital transformation and Industry 4.0 in the logistics sector is supporting investment in AI platforms for demand forecasting, capacity planning, and supply-chain optimization.

Industry Developments
• October 2025 (US): Major logistics providers deployed AI-driven predictive maintenance systems for fleets, using machine learning to forecast breakdowns and reduce downtime.

• August 2025 (Germany): Warehouse automation companies integrated AI-based robotic sorters and autonomous forklifts to improve picking speed and accuracy.

• June 2025 (China): E-commerce logistics firms launched AI-powered demand forecasting platforms to dynamically adjust inventory and distribution strategies.

• April 2025 (UK): Shipping companies adopted AI-based route optimization tools combining real-time traffic data and weather forecasts to minimize delivery times and costs.

Regional Insights
• North America - US$ 14.0 billion (35% share): Growth is driven by "rapid adoption of AI technologies among major logistics providers, high investment in autonomous delivery systems, and strong infrastructure for data-driven supply chain optimization."

• Europe - US$ 12.0 billion (30% share): Expansion is supported by "stringent efficiency and sustainability regulations, well-established logistics networks, and increasing use of AI for green logistics and predictive planning."

• Asia-Pacific - US$ 10.0 billion (25% share): Growth is fueled by "booming e-commerce markets, rising demand for smart warehousing, and strong government support for digital logistics transformation across emerging economies."

• Latin America - US$ 2.8 billion (7% share): Demand is increasing due to "expansion of regional distribution centers, growing e-commerce penetration, and adoption of AI-driven route optimization to overcome infrastructure challenges."

• Middle East & Africa - US$ 1.2 billion (3% share): Growth is supported by "investment in smart city logistics initiatives, increasing use of AI in port management, and rising adoption of predictive maintenance in transport fleets."

Speak to Our Analyst and Get Customization in the report as per your requirements: https://www.datamintelligence.com/customize/ai-in-logistics-market?sai-v

Key Segments

➥ By Technology
Machine Learning leads adoption as industries increasingly rely on predictive analytics, intelligent optimization, and real-time decision-making. Natural Language Processing (NLP) is expanding rapidly with growing use of voice assistants, automated documentation, and conversational interfaces. Context Awareness Computing supports adaptive, intelligent systems that respond to environmental inputs, improving operational accuracy. Computer Vision is gaining traction for automated inspection, quality control, and surveillance across industrial environments. Other technologies include emerging AI tools that support enhanced automation and situational intelligence.

➥ By Deployment Type
On-premise deployment remains preferred among enterprises requiring high data security, full system control, and compliance with strict regulatory standards. Cloud-based deployment is expanding at a faster pace due to its scalability, lower upfront costs, ease of integration, and real-time accessibility, making it ideal for dynamic and distributed operations.

➥ By Organization Size
Large enterprises dominate usage due to their advanced digital infrastructure, strong investment capacity, and extensive adoption of AI-powered automation. Small & medium-sized enterprises (SMEs) are rapidly increasing adoption as affordable cloud solutions and AI-driven tools help improve workflow efficiency, reduce costs, and enhance competitiveness.

➥ By Application
Self-driving vehicles and forklifts lead integration as industries automate intralogistics, warehouse operations, and transportation for improved safety and productivity. Planning and forecasting applications are widely used to optimize supply chains, reduce downtime, and enhance operational accuracy. Machine and human collaboration solutions enable shared workspace automation, boosting efficiency and reducing manual strain. Automation of ordering and processing supports faster, error-free workflows in logistics, retail, and manufacturing. Other applications include advanced robotics and AI-enabled systems across industrial settings.

➥ By End-Use Industry
Automotive remains the largest adopter as AI supports autonomous mobility, predictive maintenance, and smart manufacturing. Food and beverages increasingly deploy AI to improve quality control, packaging automation, and supply chain efficiency. Manufacturing industries rely heavily on AI for intelligent automation, defect detection, and production optimization. Healthcare adoption is rising with AI-driven imaging, diagnostics, and workflow automation. Retail leverages AI for inventory management, automated checkout, and consumer behavior insights. Other industries include logistics, pharmaceuticals, and electronics integrating AI to enhance productivity and reduce operational costs.

Unlock 360° Market Intelligence with DataM Subscription Services: https://www.datamintelligence.com/reports-subscription

Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.

✅ Competitive Landscape
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Unmet Needs & Positioning, Pricing & Market Access Snapshots
✅ Market Volatility & Emerging Risks Analysis
✅ Quarterly Industry Report Updated
✅ Live Market & Pricing Trends
✅ Import-Export Data Monitoring

Have a look at our Subscription Dashboard: https://www.youtube.com/watch?v=x5oEiqEqTWg

Contact Us -

Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -

DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.