Semiconductor supply for robotics

As robotics adoption accelerates globally, procurement and engineering teams are being forced to rethink how they manage delivery times, component lifecycles, and supply risks in an increasingly volatile semiconductor market.

If previously the development of robotics was hampered mainly by mechanical complexity, software integration and safety requirements, today one of the main limiting factors is the availability of electronic components. Across all segments, from industrial automation to collaborative robots and autonomous systems, semiconductor supply increasingly determines production schedules, design decisions and long-term program viability.

Why semiconductor supply has become a robotics bottleneck

Unlike consumer electronics, robotics platforms are designed for long life, predictable performance, and industrial reliability. This imposes a strict dependence on specific classes of semiconductors: motor controllers, sensor chips, power components and embedded processors. During periods of shortage, manufacturers do not always prioritize these items.

As a result, robotics semiconductor sourcing has evolved from a supporting purchasing function to a strategic discipline that directly impacts product roadmaps and financial forecasts.

Current State of Semiconductor Availability in Robotics

In recent years, robot manufacturers have faced persistent shortages and increased delivery times in the following areas:

integrated circuits for motor control;

precision sensor ICs (position, torque, vision, environment);

power components for industrial environments.

Delivery times of 26 to 52 weeks for many of these components are no longer considered an exception. Even as nominal availability improves, volatility remains high: components may become temporarily available and then go back into stock or back-order without warning.

This instability is especially painful in robotics, where production volumes are often lower than in the auto industry or consumer electronics, reducing priority in wafer allocation and packaging.

Volatility in delivery times and its impact on production schedules

Volatility in delivery times creates cascading problems throughout the robotics value chain. Engineering teams may complete designs for components that later become unavailable, forcing costly rework. Production lines sit idle, waiting for one scarce chip. Customer deliveries are missed, which undermines trust and competitiveness.

For companies producing collaborative robots or industrial automation systems, such delays are especially critical: cobots are often implemented as part of complex plant modernization programs, where failure to meet deadlines can disrupt the entire production ecosystem.

In this environment, volatility in semiconductor delivery times has become a major operational risk rather than a minor inconvenience.

Component Life Cycle Risk: The Hidden Threat of Long-Term Programs

Beyond immediate availability, there is a deeper issue—component life cycle risk. Many robotics platforms are designed to be manufactured and operated for 7–15 years, which is significantly longer than the typical life cycle of modern semiconductors.

Industrial components, once characterized by a stable supply, are increasingly being discontinued or losing priority in favor of the automotive industry and mass consumer segments. As a result, robot manufacturers are increasingly faced with NRND (Not Recommended for New Designs) notices and unexpected end-of-production (EOL) announcements.

Using legacy electronics is rarely intentional, but without proactive lifecycle monitoring, robotics programs can unknowingly leave themselves in a vulnerable position that is then difficult and expensive to correct.

Strategies for mitigating supply risks in robotics

To manage these challenges, robotics development teams are implementing a number of design and procurement strategies:

multi-sourcing design to avoid dependence on a single supplier;

planning the BOM life cycle in the early stages of design;

design flexibility to allow components to be replaced with minimal re-qualification;

close interaction between engineering and purchasing teams to coordinate technical and supply solutions.

These measures do not eliminate risk entirely, but they do significantly increase resilience to ongoing disruptions in the semiconductor market.

Using market analytics to forecast shortages

One of the most effective ways to reduce risk is to gain early insight into component availability trends. Aggregated data from electronic trading platforms shows that robotics components (especially motor control, sensors and power electronics) exhibit some of the highest lead-time volatility in the entire semiconductor ecosystem.

Monitoring availability, lifecycle signals, and supplier diversity early in design allows for more informed decisions while balancing performance requirements and long-term supply stability.

Importantly, this approach moves procurement from a reactive mode to a predictive mode, allowing teams to anticipate constraints before they disrupt production schedules.

Preparing for the next wave of robotics supply chain disruptions

Looking ahead, demand for robotic systems will continue to grow as manufacturers strive to automate, improve efficiency and improve workplace safety. At the same time, semiconductor supply chains remain vulnerable to geopolitical pressures, regional shifts in production and competition from more mainstream industries.

In this environment, the robotics companies that will succeed will be the ones that view semiconductor sourcing as a key engineering factor rather than an afterthought. By integrating lifecycle planning, supply analytics, and design agility into their development processes, teams can reduce vulnerability to failure and maintain momentum in an increasingly competitive market.