June 16, 2024
Warehouse Robotics Market

Warehouse Robotics: Automation is Driving Growth in Warehouse Operations Market

Warehouse robots have been adopted exponentially in recent years to automate repetitious and labor-intensive warehouse processes. The implementation of robots for various applications including picking, packaging, palletizing, and transportation has significantly optimized warehouse operations by improving efficiency and productivity while reducing costs. Warehouse robots use advanced sensors and vision-guided navigation to autonomously perform tasks with high accuracy at a rapid pace without human intervention. The growing demand for quicker delivery of goods and the shortage of labor have propelled warehouses and distribution centers to incorporate robotics technologies for material handling.

The global Warehouse Robotics Market is estimated to be valued at US$ 13.18 Bn in 2023 and is expected to exhibit a CAGR of 5.5% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

Collaborative robots continue to witness increased adoption in warehouses as they allow human workers and robots to work safely in close proximity. Also known as cobots, these collaborative robots utilize advanced safety features such as obstacle detection, emergency stop buttons, and torque limitation to safely interact and cooperate with human employees. Several warehouse owners are implementing fleets of various types of collaborative robots for applications involving packing, sorting, and order picking to optimize labor productivity. Furthermore, autonomous mobile robots (AMRs) that can navigate autonomously in unstructured and dynamic warehouse environments without fixed automation like conveyor belts are gaining popularity. Equipped with LiDAR, cameras, and software for navigation and control, AMRs enable flexible and scalable material handling in warehouses of all sizes. Their ability to dynamically adapt their routes based on changing inventory levels and workflows makes them an attractive solution for modern warehouse operations.

Porter’s Analysis

Threat of new entrants: The threat of new entrants is moderate. New players need substantial capital investments to set up manufacturing facilities and equipment. In addition, existing players have established economies of scale and brand recognition.

Bargaining power of buyers: The bargaining power of buyers is moderate to high. Buyers can choose from various warehouse robotics equipment providers and demand competitive pricing.

Bargaining power of suppliers: The bargaining power of suppliers is moderate. Some raw material suppliers dominate the market. However, robotics equipment manufacturers can switch suppliers.

Threat of new substitutes: The threat of new substitutes is low. Automated guided vehicles and automated storage and retrieval systems do not completely replace warehouse robotics portfolios of existing players.

Competitive rivalry: Competition is high among major robotics solution providers. Players differentiate based on product performance and service capabilities.

Key Takeaways

The Global Warehouse Robotics Market Size is expected to witness high growth. Regional analysis – North America dominates the warehouse robotics market currently due to major presence of e-commerce companies and automated warehouses. The Asia Pacific region is expected to grow at the fastest pace during the forecast period due to growing integration of automation in warehousing activities.

Key players operating in the Warehouse Robotics market are KUKA AG, Dematic Corporation, Daifuku Co. Ltd., Knapp AG, Bastian Solutions, Inc., Amazon Robotics, Vanderlande, Grenzebach, Vecna, Grey Orange Pte. Ltd., Hitachi, Ltd., IAM Robotics, Fetch Robotics, Hi-tech Robotic Systemz. Warehouse Robotics manufacturers are focusing on developing application-specific solutions and providing value-added services to clients.

1.      Source: Coherent Market Insights, Public sources, Desk research
2.      We have leveraged AI tools to mine information and compile it