Intralogistics is undergoing a significant transformation, driven by the adoption of advanced technologies and the need to address new operational challenges. According to Next Move Strategy Consulting, the global intralogistics market was valued at $63.71 billion in 2024 and is projected to reach $71.61 billion in 2025, with expectations to grow to $112.17 billion by 2030, registering a CAGR of 9.4% from 2025 to 2030.
Driven by robotics, AI, IoT and data intelligence, intralogistics is becoming increasingly connected, automated and resilient. But the shift also brings critical challenges in integration, scalability and workforce transformation.
Automation serves as a strategic lever to enhance productivity and reduce operational costs. The warehouse automation market is estimated at $29.91 billion in 2025 and is projected to advance to $63.36 billion by 2030, reflecting a robust 16.2% CAGR.
Common solutions include:
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Artificial intelligence is increasingly central to decision-making and optimization processes:
According to World Metrics, 70% of warehouse industries plan to invest more in AI systems over the next two years.
IoT enables data collection from the field, providing real-time visibility into:
Data analysis and digital twins (virtual replicas of physical processes) allow for:
48% of warehouses are developing digital twin models to simulate, monitor, improve and streamline operations.
| Technology | Primary Application | Expected Benefits |
|---|---|---|
| Autonomous Mobile Robots | Automated material handling | Flexibility, error reduction |
| Artificial Intelligence | Forecasting, optimization, maintenance | Efficiency, cost reduction |
| IoT and Smart Sensors | Real-time monitoring | Visibility, traceability |
| Digital Twins | Process simulation and optimization | Planning, risk reduction |
| Blockchain | Data traceability and security | Transparency, compliance |
| Inventory Drones | Automated stock control | Speed, accuracy |
| Cobots | Human-machine collaboration in picking | Safety, productivity |
Intralogistics is experiencing a profound transformation, driven by the adoption of advanced technologies and the need to address new operational challenges. Companies that effectively integrate solutions such as robotics, artificial intelligence, IoT, and advanced management systems can achieve significant competitive advantages. However, it is crucial to carefully address implementation challenges, ensuring an effective and sustainable transition towards automation and digitalization of intralogistics processes.