If "robotics" makes you think of welding robots in an auto factory, you've missed the last five years.
Mentions of robotics in our trend dataset have increased by the Increased by a factor of 10 – from 4 to 45 per year. But the real surprise isn't the growth. It's, where Robots are popping up everywhere these days: in warehouses, on the streets, in hospitals, on construction sites, and in data centers.
The robotics revolution isn't happening in the future. It's happening right now—and most companies aren't prepared.
A logistics manager we work with could no longer staff his night shift. Cobots have been in use there for eight months. Payback period: less than a year. His competitor is still looking for staff.
The problem: Robotics is underestimated because it has become invisible
Robots in 2026 don’t look like the ones in science fiction movies. They look like autonomous forklifts in your warehouse, drones inspecting your infrastructure, or cobots working alongside your employees on the assembly line. They are smaller, quieter, and more unobtrusive than ever before.
That is exactly why they are underestimated. That is exactly why many companies fail to recognize the point at which automation is no longer optional, but rather economically imperative. The shortage of skilled workers in manufacturing and logistics continues to worsen. Labor costs are rising. And suddenly, the robot—which was still too expensive just three years ago—is now a viable investment.
What Our Innovation Radar Shows
Autonomous vehicles
TRIAL
With 169 mentions Autonomous vehicles are the fastest-growing category in the robotics cluster. The technology first appeared on our radar in 2020. Just five years later, it set a new record with 57 mentions in 2025.
The turning point came in 2023, when Waymo and Cruise launched their commercial robotaxi services in U.S. cities. That was the moment when "autonomous driving" went from being a research vision to a commercial product.
For most of our customers, however, it's not about robotaxis. It's about autonomous logistics: Last-mile delivery, on-site transportation, autonomous shuttles between buildings, driverless transport systems in warehouses. The underlying technology is the same—but its applications are much closer to your day-to-day business than a robotaxi in San Francisco.
Robotics (Cobots & Humanoids)
ASSESS
This may be the most important news in the entire robotics cluster: Collaborative robots (cobots) have made inroads in several manufacturing sectors Cost parity with manual labor reached. The investment in a cobot no longer pays off in years, but in months.
Humanoid robots began to dominate the discussion in 2023, but the real revolution is happening with the "boring" cobots: easy to program, safe enough for human-robot collaboration, and now also economically attractive for medium-sized businesses that haven't automated before.
Battery Technology
TRIAL
Without batteries, there are no robots, no electric cars, no renewable power grid. Solid-state batteries and lithium supply chain risks dominate the current discussion.
What most people overlook: For companies with robot fleets – AGVs, AMRs, drones – it becomes Battery prognostics to a real competitive advantage. Unplanned failures due to battery degradation cause costly downtime. According to our analysis, anyone who can predict the state of their batteries can reduce unplanned robot downtime by up to 30% reduce and replacement procurement costs by up to 12% decrease (Evidence C – Horizon 12–24 months).
3D Printing / Additive Manufacturing
ASSESS
An interesting counter-movement: 3D printing reached its peak in 2025 with 10 mentions and fell to zero in 2026. This does not mean that the technology has failed. It means that it Fully developed and established in its niche is.
Additive manufacturing is no longer just a trend. It is a proven tool for specific applications: prototyping, on-demand replacement parts, customized medical devices, and tool inserts with internal cooling. However, for mass production, it remains a supplement, not a replacement. In our consulting work, we do not prioritize 3D printing in general recommendations unless the client has a specific manufacturing use case.
Electric Vehicles: The Context That Connects It All. With 157 mentions over ten years and consistent ADOPT Electric cars are no longer an innovation—they’re mainstream. The score remains steady at 37 in 2025 and 36 in 2026. But they’re driving demand for batteries, autonomous driving, and robotics. The robotics cluster is a cohesive ecosystem, not a collection of isolated trends.
What we see among our customers—and what that implies
Three Use Cases with the Greatest Impact
Our Execution Playbook identifies three robotics applications with the highest potential for implementation—not in theory, but based on what we see in customer projects:
Vision QA Cell
End-of-line defects are detected too late, resulting in avoidable scrap and rework.
–15% Scrap Costs
AMR intralogistics orchestration
Manual restocking causes stockouts on the production line and results in unnecessary walk distances for pickers.
98% On-Time Line Feeding
Robot Fleet Battery Predictive Maintenance
Unplanned battery degradation causes recurring downtime for AGV and AMR fleets.
–12% Replacement Procurement
Regulation: Three Deadlines You Need to Know
Anyone planning robotics projects now must take these compliance requirements into account from the very beginning. Retrofitting is always more expensive than planning ahead.
What you should consciously not do
The discipline of saying no is just as important in robotics as the willingness to say yes. Automate the right cells first. The rest will come when the data infrastructure is ready.
Deploying humanoid pilots for undefined shop floor tasks. Without a clear process and a measurable goal, that is burning money with a coat of innovation.
In-house robot hardware construction, when certified commercial platforms already cover the use case. Build vs. buy has a clear answer here.
Complete digital twin of the entire factory prior to telemetry standardization. Build the data foundation first, then the simulation. Not the other way around.
Our recommendation: ASSESS with selective TRIAL islands
The robotics sector as a whole is based on ASSESS - observe and act with targeted measures. But individual technologies already TRIAL-Status reached: Autonomous vehicles and battery technology are ready for active piloting, especially for customers in manufacturing and logistics.
The biggest levers in the next 12 months: Vision-based quality control (8 points higher first-pass yield, 15% lower scrap costs), AMR intralogistics orchestration (25% fewer picker travel distances, 98% on-time line feeding) and Battery prognostics for robot fleets (30% fewer unplanned outages).