Material Handling Robotics Market Growth Drivers and Challenges:
Growth Drivers
- Growing demand for warehouse automation: Due to growth in e-commerce, there is an increasing demand for faster order fulfillment, which in turn drives the use of robotics in warehouse operations. Automation started changing the supply chain by smoothing the workflow, improving the accuracy of inventories, and greatly reducing operational costs. In September 2024, Seegrid closed its Series D funding round, raising USD 50 million for continued development and enhancement of its autonomous lift truck offering, the Lift CR1. This novel solution uses cognitive robotics to navigate challenging environments, automates material handling, and helps make industrial areas much safer and more productive.
- Technological advances in robotics: Ongoing innovations in robotics technology, including the integration of AI and advanced navigation systems, drive robots to perform even the most complicated operations and execute them with a high degree of precision. In September 2024, Mobile Industrial Robots introduced the MiR1200, an autonomous pallet jack capable of heavy loads, which will be able to provide much more sophisticated safety compared to earlier models. These technological advances expand material handling robots' capabilities further, resulting in increased adoption across industries.
- Sustainability and safety in focus: Robotics systems for energy use optimization and workplace safety enhancement. Such solutions address the twin challenges of sustainability and operational risk management concerns. ChargePoint Technology, in June 2024, launched a robotic material handling solution for the pharmaceutical industry and attained enhanced safety and contamination control. Such innovations showcase the industry's commitment to innovating sustainable and safe automation systems.
Challenges
- Integration difficulty with the existing structure: The difficulty in integrating such robotic systems into the existing infrastructure may be serious for old, legacy warehouses. It often results from complications arising out of incompatibility among aged equipment and processes. Most legacy infrastructure lacks the modularity required for an effortless implementation of robotics. Due to this fact, customization and complete system remodeling will be needed. These changes can be time-consuming and costly, especially for small-scale enterprises that have relatively limited budgets and lack a technical background.
- Workforce reskilling and acceptance: In most cases, material handling robotics includes an extensive workforce training or reskilling process, which emerges as an obstacle to industries that are resistant to change. Moreover, other competencies to be developed in the workforce regarding operation, maintenance, or interaction with robotic systems add another layer of complexity for implementation. Resistance to automation can also rise due to the perception of job loss or lack of understanding of high-end technologies.
Material Handling Robotics Market Size and Forecast:
|
Base Year |
2025 |
|
Forecast Period |
2026-2035 |
|
CAGR |
9.4% |
|
Base Year Market Size (2025) |
USD 28.59 billion |
|
Forecast Year Market Size (2035) |
USD 70.21 billion |
|
Regional Scope |
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Browse key industry insights with market data tables & charts from the report:
Frequently Asked Questions (FAQ)
In the year 2026, the industry size of material handling robotics is evaluated at USD 31.01 billion.
The global material handling robotics market size exceeded USD 28.59 billion in 2025 and is set to expand at a CAGR of around 9.4%, surpassing USD 70.21 billion revenue by 2035.
North America material handling robotics market will account for 55% share by 2035, driven by highly developed industrial infrastructure, automation adoption, and investments in robotics.
Key players in the market include ABB Pte Ltd, Staubli International AG, Adept Technology Inc., Machinery Automation & Robotics Pty Ltd, Daihen Engineering Co Ltd, Denso Wave Inc, Epson America, Inc, FANUC CORP, KUKA Robotics Corporation, Nachi Robotic Systems Inc.