Logistics Automation Market to Hit USD 281.6 Billion by 2035 Amid Surging AI, Robotics, and E-commerce Integration

Posted by Hugh Grant
12
Jul 12, 2025
222 Views
Image

The Logistics Automation Market is on a steep upward trajectory, with its size projected to grow from USD 80.1 billion in 2024 to a remarkable USD 281.6 billion by 2035, expanding at an impressive Compound Annual Growth Rate (CAGR) of 13.5%. As global supply chains evolve and digital transformation accelerates, logistics automation has emerged as a critical solution for businesses navigating labor shortages, rising operational costs, and growing demand for speed and precision.

A recent report by Prophecy Market Insights reveals how automation across inventory management, shipping, and order fulfillment is reshaping the competitive dynamics of major industries, particularly in automotive, e-commerce, electronics, and healthcare sectors.

? Full Market Overview

Intelligent Automation: From Robots to AI

The logistics automation ecosystem encompasses a wide range of technologies and components, enabling smart warehousing and transport operations. These include:

  • Hardware such as autonomous robots, automated storage and retrieval systems (AS/RS), sorting systems, and conveyors.

  • Software platforms like Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Order Management Systems (OMS) that offer end-to-end logistics orchestration.

  • Services including deployment, integration, support, and consulting to ensure seamless tech adoption.

Furthermore, advanced technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Blockchain are now foundational in enabling predictive logistics, autonomous navigation, real-time tracking, and fraud prevention.

Surge in E-commerce and Just-in-Time Demands

E-commerce, one of the fastest-growing industries, has a direct impact on logistics innovation. As retailers promise faster deliveries and personalized order experiences, fulfillment centers must adopt automation to meet customer expectations.

The report outlines how sales logistics and inventory storage management dominate the application landscape, while shipping management and labor optimization are gaining significant ground with the use of AI-powered analytics and robotics.

Market Segmentation Highlights

  • By Logistics Type:

    • Sales logistics leads due to online retail boom.

    • Production and recovery logistics are key for manufacturing and returns management.

  • By Organization Size:

    • Large enterprises currently hold a major share, but SMEs are swiftly adopting cloud-based logistics platforms to remain competitive.

  • By End-User:

    • Automotive and aerospace firms use automation for high-volume, precision part logistics.

    • Retail & e-commerce dominate due to scale.

    • Healthcare relies on automation for traceability, cold-chain compliance, and delivery speed.

Competitive Landscape

The logistics automation space is populated by global giants and tech innovators. Major players include:

  • ABB

  • KION GROUP AG

  • Honeywell International Inc.

  • Daifuku Co., Ltd.

  • Swisslog Holding AG

  • Murata Machinery, Ltd.

  • BEUMER Group

  • Jungheinrich AG

  • Kardex

  • SAP SE

  • Oracle

These companies are investing heavily in AI integration, robotics R&D, and cloud-based management systems. Partnerships and acquisitions are also common as firms aim to expand their regional presence and digital portfolios.

? Download Sample Report

Regional Outlook

  • North America: A leader in warehouse robotics and AI-based logistics optimization.

  • Europe: Growing demand for sustainable, automated transport driven by green regulations.

  • Asia-Pacific: Poised for the highest growth rate due to massive e-commerce expansion in China and India.

Outlook to 2035

The logistics automation market is no longer a future concept—it’s now a strategic necessity. As supply chain complexities increase, the fusion of robotics, data analytics, and AI will determine the speed, accuracy, and resilience of logistics operations across sectors.


Comments
avatar
Please sign in to add comment.