IFR: AI, tactile systems, and digital twins will accelerate robotics in 2026

Robotics has ceased to be a topic only for large factories and exhibition demos. By 2026, the market is entering with record sales, growing demand for service robots, and a clear shift toward smarter and more versatile machines.

The

Market Has Already Grown By global standards, the market no longer looks experimental but mass-market. The annual value of industrial robot installations reached $16.7 billion, and in 2024, companies worldwide deployed 542,076 new machines.

The total active fleet of industrial robots grew to 4,663,698 units. In parallel, professional service robot sales approached the 200,000-unit mark. The fastest-growing segments were those where automation immediately delivers cost savings and predictability: logistics, cleaning, medicine.

Russia is moving in the same direction, though from a different baseline. By the end of 2024, the country's industrial robot fleet reached 20,864 units, and robotization density in manufacturing grew from 19 to 29 robots per 10,000 employees. For the local market, these are no longer isolated pilots but a noticeable acceleration.

By 2030, the goal is to enter the top 25 countries by robotization density. At the same time, domestic production of industrial robotics grew 4.5 times and reached 7.

6 billion rubles.

What

Changes Robots The main shift now relates not to the number of manipulators on a line but to their capabilities. Robots are becoming less rigidly programmed and better adapt to changing environments. Artificial intelligence is beginning to handle not just data analysis or computer vision but physical action: how to approach an object, how to grasp it, how to reroute or rearrange operations. This moves the market toward more universal systems that can be reconfigured faster for new tasks.

• AI increasingly manages actual robot actions, not just object recognition.
• Universal platforms reduce dependence on a single operation and simplify reconfiguration.
• Tactile sensors and soft grippers enable more delicate work with fragile objects.
• Digital twins help test scenarios without stopping the production line.
• Security and cybersecurity are becoming a mandatory part of the project, not an afterthought. Service segments will benefit most, where the environment is less predictable than on an assembly line. In logistics, this means autonomous cargo movement and sorting; in cleaning, machines capable of working in complex public spaces; in medicine, robots and assistive systems requiring precision and reliable human interaction. The better a robot senses objects and its surroundings, the wider the range of tasks it can handle without manual tuning for each scenario.

The Cost of Autonomy The more independent robots become, the higher the cost of errors.

If a machine is connected to a corporate network, uses cloud models, receives updates, and exchanges data with other systems, security concerns are no longer a formality. Access must be controlled, critical circuits isolated, updates verified, anomalous behavior monitored, and potential failures of sensors or models anticipated in advance. For manufacturing plants, warehouses, and clinics, this is no longer engineering care but a basic requirement for deployment.

The second major issue is accountability. When a robot operates on a rigid scenario, boundaries are clearer: there is a manufacturer, an integrator, and an operator. When a system learns, adapts, and makes more decisions on site, distributing responsibility becomes harder.

This is why in the coming years the market will grow not only through new hardware but also through standards, certification, cybersecurity, and stricter operational regulations. Success will go not just to the smartest robots but to those that can be safely deployed into real processes.

What

It Means The robotics market is entering a phase where not flashy demonstrations but speed of deployment, flexibility, and reliability matter. For business, this is a signal to focus not only on the robot itself but on AI control, digital twins, data, and protection of the entire system as a whole.