Industrial Robots Five IFR Trends: Why Robotics Needs More Software in 2026

From Manuel Christa | Translated by AI 3 min Reading Time

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$16.7 billion: This is how the IFR quantifies the record value of global industrial robot installations. For 2026, the association identifies five drivers, from AI autonomy to labor shortages. Humanoids are also included.

More than just eye-catchers at trade fairs: Humanoid robots, like the 4NE1 from Neura at CES 2026, are set to prove their practical value this year.(Image: Neura Robotics)
More than just eye-catchers at trade fairs: Humanoid robots, like the 4NE1 from Neura at CES 2026, are set to prove their practical value this year.
(Image: Neura Robotics)

The International Federation of Robotics (IFR) sees new momentum especially where software and connectivity are disrupting traditional robotics: AI is expected to make systems more autonomous, IT and OT are expected to move closer together, and at the same time, the demands for safety and security are increasing. Underlying it all is a job market in many regions that is calling for automation.

AI Makes Robots More Autonomous

According to the IFR, the focus is on the autonomy gain through artificial intelligence. Analytical AI is expected to evaluate large volumes of data, recognize patterns, and derive specific insights. The association cites examples such as predicting potential failures in "smart factories" or tasks like route planning and resource allocation in intralogistics.

The IFR describes generative AI as a step away from pure rule-based logic toward systems that generate new solutions. Robots are expected to independently learn tasks, partly through training data from simulations. At the same time, interaction is meant to become simpler, for example, through natural language and gesture control.

The IFR identifies "Agentic AI" as the next building block: Here, analytical AI for structured decision-making and generative AI for adaptability are meant to work together. The goal is for robotics to operate more independently in complex, real-world environments.

When IT And OT Converge

The second trend focuses on versatility: The IFR sees growing demand for robots that can be used more flexibly as information technology and operational technology converge. Real-time data exchange, automation, and analytics aim to make the data flow between the digital world and physical control more seamless.

For developers and integrators, this means interfaces, data models, and security are becoming increasingly important. Robotics is more often becoming part of larger software stacks, rather than operating as an isolated system in the cell.

Humanoids Must Prove Themselves

The IFR lists humanoid robots as a trend of their own. The organization observes that companies and research are moving beyond prototypes and testing systems in real environments. The IFR specifically mentions areas designed for humans and requiring flexibility. The automotive industry is considered a pioneer, with warehousing and manufacturing also becoming increasingly prominent in parallel.

Whether humanoids emerge from their niche depends, according to the IFR, on industry metrics: cycle times, energy consumption, and maintenance costs must meet requirements. Additionally, the authors point to standards defining safety levels, durability criteria, and consistent performance values. Those positioning humanoids as a solution to staff shortages must also demonstrate dexterity and productivity in everyday tasks.

Safety And Security Become the Litmus Test

The closer robots work with humans, the more critical safety becomes. The IFR argues that AI-driven autonomy makes testing, validation, and human oversight more complex. Robots must be designed and certified according to ISO safety standards; at the same time, clear liability frameworks are needed.

In parallel, the security side is growing. The IFR points to cyber risks as robotics moves into cloud-connected and AI-driven environments, mentioning, among other things, attempted attacks on control systems and cloud platforms. Additionally, concerns arise over how companies handle sensitive data streams that robots can capture, such as video, audio, and sensor information. Furthermore, deep learning models as "black boxes" make it difficult to explain outcomes transparently, adding complexity to liability and governance.

Robots As A Solution to Labor Shortages

The IFR cites labor shortages as the fifth trend. Unfilled positions lead to employees having to take on extra shifts, resulting in stress and fatigue. Robotics and automation are seen by the organization as tools to take over routine tasks and close gaps.

For this to work, the IFR emphasizes the importance of implementation practices: Companies should involve their workforces early on to build acceptance, both in industrial manufacturing and service applications. Additionally, the authors highlight qualification and training programs to help employees keep pace with changing demands. (mc)

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