Logistics Automation Market: Latest Trends, Technological Advancements, Driving Factors, and Forecast until 2029

Logistics Automation Market by Offering (Automated Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs), Automated Storage & Retrieval Systems, Conveyors, Warehouse Management Systems), Technology (RPA, Big Data, Blockchain) - Global Forecast to 2029.
The global logistics automation market [https://www.marketsandmarkets.com/Market-Reports/logistics-automation-market-83657139.html?utm_campaign=logisticsautomationmarket&utm_source=abnewswire.com&utm_medium=paidpr] is projected to expand at a CAGR of 8.4% through 2029, increasing from an estimated USD 35.14 billion in 2024 to USD 52.53 billion. Key growth drivers include the adoption of smart warehousing systems integrated with IoT, the use of AI for data analysis to optimize supply chain operations and enhance decision-making, and advancements in cold chain logistics that are improving the efficiency of temperature-sensitive deliveries.

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By software deployment mode, cloud is expected to grow at the highest CAGR during forecast period.

By deployment mode, cloud segment is expected to grow at highest CAGR during forecast period. Cloud-based solutions provide flexibility, scalability, and cost-effective management of the complex global supply chain that the logistics companies need to manage. The advantage of such a solution is that it has access to real-time data, which, in turn, optimizes routes, inventory management, and other fleet at different locations without requiring huge infrastructure on the on-premises network. Cloud platforms also facilitate easier integration with other digital tools such as IoT, AI, and machine learning, which otherwise helps in the smooth operation process and enhances decision-making capability. Cloud deployment also allows for easier updates and maintenance. This reduces downtime as well as overheads from IT teams. Increasing demand for remote operations and the need for more agile and scalable logistics systems is a strong driver of the continued dominance of the cloud segment in logistics automation software.

By automation software, transport system management segment is projected to grow at the highest CAGR during the forecast period.

Transportation Management Systems (TMS) are projected to grow at the highest CAGR in the logistics automation market due to increasing demand for real-time tracking, route optimization, and efficient fleet management. Companies are adopting TMS because of the rise in online shopping, the interconnected nature of supply chains worldwide, and the need to reduce operational costs. The integration of AI, IoT, and cloud technology in transportation management systems results in faster deliveries and better resource utilization. The growing emphasis on reducing carbon footprints and fuel usage is driving the implementation of transportation management systems for automating logistics, ultimately enhancing sustainability.

Asia Pacific is expected to grow at the highest CAGR during the forecast period.

Logistics automation is most likely going to be the largest market area in the Asia Pacific region, driven by rapid industrialization, rising volumes of e-commerce, and increased adoption of advanced technologies in supply chains. Major countries like China, Japan, India, and South Korea are also leading in the implementation of automation solutions to meet the ever-growing demand for faster and more efficient logistics operations. The region has a large consumer base, and the emergence of e-retailers has rapidly increased demand for streamlined logistics processes such as automated warehouses, autonomous vehicles, and AI-based inventory management systems. In addition, smart manufacturing and the effort to digitalize started by the government, mainly in China and India, are accelerating the adoption of logistics automation technologies. Asia Pacific's strong infrastructure development and thrust towards innovation along with investments in automation technologies put this region at the commanding lead in the global logistics automation market.

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Unique Features in the Logistics Automation Market

Logistics automation leverages IoT-enabled smart warehousing systems, allowing real-time tracking of inventory, automated stock replenishment, and predictive maintenance. These systems improve accuracy, reduce human intervention, and enhance overall supply chain efficiency.

Artificial Intelligence (AI) plays a crucial role in logistics automation by analyzing vast amounts of data to optimize routing, demand forecasting, and inventory management. AI-powered decision-making enhances operational efficiency, reduces costs, and minimizes delays.

The use of robotics and AGVs in warehouses and distribution centers streamlines material handling, order fulfillment, and sorting processes. These automated systems improve speed, reduce errors, and ensure round-the-clock operations without manual intervention.

Innovations in cold chain logistics ensure the safe transportation of temperature-sensitive goods, such as pharmaceuticals and perishable food items. Automated temperature monitoring and control systems help maintain product integrity throughout the supply chain.

Major Highlights of the Logistics Automation Market

Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming logistics automation by enabling real-time data analysis, predictive analytics, and automated decision-making. These technologies enhance supply chain visibility, improve efficiency, and minimize operational costs.

Automated storage and retrieval systems (AS/RS), robotics, and Automated Guided Vehicles (AGVs) are improving warehouse efficiency. These innovations reduce manual labor, increase order accuracy, and speed up fulfillment processes.

Advancements in cold chain logistics are enhancing the efficiency of transporting temperature-sensitive goods, such as pharmaceuticals and perishable food items. Automation ensures real-time temperature monitoring, minimizing spoilage and maintaining product quality.

The surge in e-commerce has accelerated the demand for automated logistics solutions, including smart fulfillment centers, robotic picking systems, and automated sorting technologies, ensuring faster and more accurate deliveries.

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Top Companies in the Logistics Automation Market

The major logistics automation providers include KION Group (Germany), Honeywell (US), Daifuku (Japan), IBM (US), SAP (Germany), Oracle (US), ABB (Switzerland), Samsung SDS (South Korea), Manhattan Associates (US), KUKA Group (Germany) and Jungheinrich (Germany). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the logistics automation market.

HONEYWELL

Honeywell has established itself as one of the leaders in the logistics automation market by offering advanced warehouse solutions that address the complexities of modern distribution and fulfillment operations. Their systems enhance efficiency and adaptability, enabling businesses to manage increased SKU diversity, meet stringent service level agreements, and tackle labor shortages effectively. By integrating cutting-edge technologies such as robotics, AI, and data analytics, Honeywell Intelligrated not only optimizes operational performance but also future-proofs organizations against evolving market demands. Their commitment to innovation and customer-centric solutions has solidified their competitive advantage in the rapidly changing landscape of logistics automation.

ABB

ABB has positioned itself as one of the key player in the logistics automation market by leveraging its extensive expertise in electrification, robotics, and digitalization. The company focuses on creating integrated solutions that enhance productivity and efficiency in supply chains, addressing challenges like labor shortages and increasing demand for faster delivery. By combining advanced technologies such as artificial intelligence and machine learning with their automation systems, ABB enables businesses to streamline operations and reduce costs. Their commitment to innovation and sustainability, along with strategic partnerships and acquisitions, has further solidified their competitive advantage, allowing them to adapt to the evolving needs of the logistics sector effectively.

Daifuku Daifuku Co., Ltd., established in 1937 and headquartered in Osaka, Japan, is a leading provider of material handling systems. The company specializes in the design, manufacture, and installation of automated systems for various industries, including automotive, electronics, and logistics. Daifuku's product offerings encompass conveyor systems, automated storage and retrieval systems (AS/RS), and sorting systems, all aimed at enhancing operational efficiency and productivity. With a global presence, Daifuku serves clients worldwide, delivering innovative solutions tailored to meet diverse material handling needs.

IBM IBM, founded in 1911 and headquartered in Armonk, New York, is a multinational technology and consulting company. The company offers a wide range of products and services, including hardware, software, cloud computing, and artificial intelligence (AI) solutions. IBM is renowned for its mainframe computers, data analytics capabilities, and contributions to AI through its Watson platform. Over the years, IBM has shifted its focus towards cloud-based services and AI, aiming to provide innovative solutions that drive digital transformation for businesses across various industries.

SAP SAP SE, founded in 1972 and headquartered in Walldorf, Germany, is a leading multinational software corporation specializing in enterprise resource planning (ERP) solutions. The company offers a comprehensive suite of applications, including SAP S/4HANA, SAP HANA, and various cloud-based services, designed to streamline business processes across finance, supply chain management, and customer relationship management. SAP has a significant global presence, serving clients in numerous countries and industries. In recent years, SAP has emphasized its transition to cloud computing and the integration of artificial intelligence into its offerings, aiming to enhance efficiency and drive innovation for its customers.

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