Your warehouse needs staff. Your assembly line needs precision. Robotics offers both – and is now paying for itself.
Robotics, autonomous vehicles, battery technology, and 3D printing – ten years of data show where automation truly stands.
397 Mentions | 4 Technologies | 10x Growth

169
Autonomous vehicles
Peak 57 in 2025
Not just robotaxis – your factory floor is the next deployment location.
162
Robotics
10x growth since 2017
Cobots are now paying for themselves in months, not years.
42
Battery technology
Solid-State Breakthroughs
Without batteries, there are no robot fleets.
24
3D printing
Niche found
No more hype – but a proven tool.
157
Electric vehicles
Context Driver · ADOPT
The connecting link that unites all robotics trends.

If you think of welding robots in a car factory when you hear "robotics," you've missed five years.

Mentions of robotics in our trend dataset have increased tenfold – from 4 to 45 per year. But the real surprise isn't the growth. It's, where Robots are appearing today: in warehouses, on roads, in hospitals, on construction sites, and in data centres.

The robotics revolution isn't happening in the future. It's happening now – and most businesses are not ready.

What happens if you don't act?

A logistics manager we work with could no longer staff his night shift. Cobots have been standing there for eight months. Amortisation period: under a year. His competitor is still looking for staff.

Cobots have reached cost parity with manual labour in several manufacturing segments. The investment is no longer amortised in years, but in months.

The problem: Robotics is underestimated because it has become invisible

Robots in 2026 do not look like they do in science fiction films. They look like autonomous forklifts in your warehouse, drones inspecting your infrastructure, or cobots standing next to your employees on the assembly line. They are smaller, quieter, and more discreet than ever before.

That's precisely why they are underestimated. That's precisely why many companies miss the point where automation is no longer optional, but economically imperative. The shortage of skilled workers in manufacturing and logistics is continuing to worsen. Labour costs are rising. And suddenly, the robot that was too expensive three years ago is now paying for itself.


What our Innovation Radar shows

Autonomous vehicles

TRIAL

169 mentions · Since 2020 · 7 years · Peak 57 in 2025
Mentions per year
Burst onto the radar 2020, turning point 2023 with Waymo & Cruise
2022
7
2023
30
2024
29
2025
57
2026
36

With 169 mentions are the fastest-growing category in the robotics cluster. The technology first appeared on our radar in 2020. Just five years later, it reached a new record with 57 mentions in 2025.

The turning point came in 2023 when Waymo and Cruise launched their commercial robotaxi services in US cities. That was the moment when "autonomous driving" moved from a research vision to a commercial product.

However, for most of our customers, it's not about robotaxis. It's about autonomous logistics:Last-mile delivery, factory site transport, autonomous shuttles between buildings, driverless transport systems in the warehouse. The underlying technology is the same – the application is much closer to your day-to-day business than a robotaxi in San Francisco.

Robotics (Cobots & Humanoids)

ASSESS

162 Mentions · Since 2017 · 10 Years · Peak 45 in 2025
Mentions per year
10x growth refers to 2017 (4 mentions) → 2025 (45 mentions) · Humanoid Inflection 2023 · Chart shows 2022–2026
2022
4
2023
23
2024
42
2025
45
2026
27

This is perhaps the most important news in the entire robotics cluster: collaborative robots (cobots) have in several manufacturing segments cost parity with manual labour reached. The investment in a cobot is no longer amortised in years, but in months.

Humanoid robots began to dominate discussions in 2023, but the real revolution is happening with "boring" cobots: easy to program, safe enough for human collaboration, and now also economically attractive for medium-sized companies that haven't yet automated.

Battery technology

TRIAL

42 Mentions · Since 2021 · 6 Years · Peak 20 in 2025
Mentions per year
Solid-state batteries and lithium supply chains dominate the discussion
2022
5
2023
6
2024
8
2025
20
2026
2

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 will battery prognosis to a real competitive advantage. Unplanned downtime due to battery degradation causes costly standstill times. According to our analysis, those who can predict the condition of their batteries can reduce unplanned robot downtime by up to 30% reduce and replacement costs by up to 12% reduce (Evidence C – Horizon 12–24 months).

3D printing / Additive manufacturing

ASSESS

24 Mentions · Since 2017 · 10 Years · Peak 10 in 2025 · Trend: declining
Mentions per year
From the hype cycle into the industrial niche – and that's perfectly fine
2022
1
2023
2
2024
8
2025
10
2026

An interesting counter-trend: 3D printing peaked in 2025 with 10 mentions and fell to zero in 2026. This does not mean the technology has failed. It means that it mature and has arrived in its niche overall.

Additive manufacturing is no longer a trend. It is a tried-and-tested tool for specific applications: prototyping, spare parts on demand, individual medical products, tool inserts with internal cooling. But for broad series production, it remains a supplement, not a replacement. In our consulting, we deprioritize 3D printing in general proposals unless the customer has a specific manufacturing use case.

Electric vehicles: The context that connects everything. With 157 mentions over ten years and a stable ADOPT Electric cars are no longer an innovation – they are mainstream. Steady at 37% in 2025 and 36% in 2026. But they are driving demand for batteries, autonomous driving and robotics. The robotics cluster is a cohesive ecosystem, not a collection of isolated trends.


What we see with our clients – and what follows from that

CLM-ROB-001Labour shortages will continue to support automation demand in manufacturing and logistics over the next 12–18 months. This is not a forecast. It is an observation that has been confirmed quarter after quarter.

CLM-ROB-002Sensor, vision and edge compute cost curves will continue to improve – enough to expand robot cell economics into new segments. The threshold at which a robot becomes economically viable is decreasing every quarter.


Three use cases with the greatest leverage

Our Execution Playbook identifies three robotics applications with the highest implementation potential – not theoretically, but based on what we see in customer projects:

0–6 months · Evidence A

Vision QA Cell

End-of-line defects are detected too late, causing avoidable scrap and rework.

+8 Pts First-Pass Yield
–15% Scrap costs
Owner: Manufacturing Excellence Lead
6–12 months · Evidence B

AMR Intralogistics Orchestration

Manual refilling creates stockouts on the line and unnecessary picker travel paths.

–25% Picker runtime
98% On-Time Line Feeding
Pracovní pozice: Ředitel distribuce
12–24 months · Evidence C

Robot Fleet Battery Prognostics

Unplanned battery degradation causes recurring downtimes for AGV and AMR fleets.

–30% unplanned downtime
–12% Replacement procurement
Owner: Industrial IoT Product Manager

Regulation: Three deadlines you need to know

Anyone planning robotics projects now needs to consider these compliance requirements from the outset. Retrofitting is always more expensive than forethought.

2 August 2026
EU AI Act – Annex III High Risk
High-risk AI systems according to Annex III must demonstrate compliant risk management, data governance, and transparency systems. This applies to AI-powered quality control, robot control, and autonomous decision systems in manufacturing.
20 January 2027
EU Machinery Regulation (EU) 2023/1230
Replaces the previous Machinery Directive 2006/42/EC. New requirements for cybersecurity, autonomous behaviour and AI-based safety functions. Every machine with learning algorithms must be compliant.
2 August 2027
EU AI Act – AI integrated into products, high-risk
AI systems embedded in regulated products (machinery, medical devices, vehicles) must be fully compliant. This practically affects every robot with AI components in the EU market.

What you should consciously avoid

The discipline of saying no is as important in robotics as the willingness to say yes. Automate the right cells first. The rest will follow when the data infrastructure is ready.

Stop

Broad humanoid pilots for undefined shop-floor tasks. Without a clear process and measurable goal, it's money-burning with an innovation veneer.

Reset

Building your own robot hardware when certified commercial platforms already cover the use case. Build vs. Buy has a clear answer here.

Reset

A complete digital twin of the entire factory before telemetry standardisation. Create the data foundation first, then the simulation. Not the other way around.


Our recommendation: ASSESS with selective trial islands

The field of robotics as a whole is built on ASSESS – observe and act purposefully. But individual technologies already have TRIALStatus achieved: 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).

Robotics is not a technology topic. It is an operations topic. The question is not whether robotics will enter your processes. The question is whether you will shape or suffer the transition.
"We didn't automate because we wanted to be innovative. We automated because we could no longer staff the shift."
Plant manager of a medium-sized manufacturing company
(paraphrased from our consulting practice)

Which three processes in your company are best suited for automation?

In a focused discussion, we analyse your manufacturing or logistics operations and identify the automation candidates with the fastest payback.

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