The 370-billion-dollar race: How integrated design can help humanoid manufacturers succeed in a rapidly growing market

Imagine a manufacturing floor where robots don’t just repeat the same motion thousands of times but adapt to new tasks. They’re able to navigate cluttered spaces, manipulate unfamiliar objects and switch between tasks as fluidly as human workers. They can climb stairs, squeeze into tight assembly areas and collaborate seamlessly alongside people in environments designed for human bodies.

This is the future of humanoid robotics, and it’s closer than most people realize.

The implications are staggering. Humanoid robots could revolutionize manufacturing by bringing unprecedented flexibility to production lines. Unlike traditional industrial robots bolted to factory floors, humanoid robots can move between workstations, handle diverse products and adapt to changing production needs without expensive retooling. They could transform warehouses, logistics operations and hazardous environments where human workers face risk.

The market agrees. In their report “The future of robotics: Intelligent, adaptable, and on your team,” McKinsey reported that while the general-purpose robotics market is valued at under $1 billion today, if progress continues at the current rate, it could reach a value of $370 billion by 2040.

Major players from Tesla to Figure AI are rushing to commercialize humanoid platforms. However, due to the sheer complexity of these robots, significant hurdles remain before they are broadly commercially adopted.

The technical challenges of building humanoid robots are immense. An average humanoid robot has dozens of articulated joints which must be carefully coordinated with precise mass, inertia and center of gravity control. Even the slightest change in structure can lead to cascading impacts on balance, gait, reach and energy efficiency.

To effectively navigate these design hurdles, manufacturers need sophisticated software tools that seamlessly integrate design and simulation. Unfortunately, while most manufacturers have mature computer-aided design (CAD) processes, their overarching workflows were built for a completely different environment and era. One of the key challenges is that most humanoid programs still lean on disjointed methods to bring mechanical designs into robotic simulation and control environments.

On many teams, kinematic models are still rebuilt by hand, with key variables like mass and inertia approximated rather than derived from real geometry and joint definitions. This causes drift between design and control representations, which compromise simulation accuracy and lead to early freezes of mechanical designs to avoid complicated downstream reworks. And while virtual prototyping can save millions for manufacturers, it’s only a viable option if those simulations stay perfectly synchronized with evolving designs.