Royal Academy of Engineering
AI-Driven Enterprise Institute
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West Midlands

Detailed technology adoption profile

#2 of 12

Mean Pillar Breadth

1.8

Active pillars /10

Adoption Rate

48.3%

Companies with I4.0 signals

Companies

784

In sample

Dominant Pillar

P06

Robotics & Automation

Adoption Tier Distribution

784companies
Leading29 (3.7%)
Established55 (7.0%)
Developing176 (22.4%)
Emerging55 (7.0%)
Minimal64 (8.2%)
No Adoption405 (51.7%)

Technology Pillar Profile

6%12%18%24%30%15.6%23.2%20.9%5.0%22.6%29.7%6.3%12.9%21.7%17.5%P01Additive ManufacturingP02IIoT &SensorsP03AI &CognitiveP04Mobile &WearablesP05Data &Systems IntegrationP06Robotics &AutomationP07AR/VR/MRP08CybersecurityP09Big Data &AnalyticsP10Digital Twins
1.Robotics & Automation29.7%
2.IIoT & Sensors23.2%
3.Data & Systems Integration22.6%
4.Big Data & Analytics21.7%
5.AI & Cognitive20.9%
6.Digital Twins17.5%
7.Additive Manufacturing15.6%
8.Cybersecurity12.9%
9.AR/VR/MR6.3%
10.Mobile & Wearables5.0%

Pillar Adoption vs National Average

How this region compares to the UK-wide average for each technology pillar.

P01Additive Manufacturing
2
15.6%+3.2
P02IIoT & Sensors
2
23.2%+3.5
P03AI & Cognitive
3
20.9%+1.8
P04Mobile & Wearables
7
5.0%+0.0
P05Data & Systems Integration
4
22.6%+0.3
P06Robotics & Automation
2
29.7%+4.3
P07AR/VR/MR
7
6.3%-0.1
P08Cybersecurity
8
12.9%-0.6
P09Big Data & Analytics
6
21.7%-0.4
P10Digital Twins
4
17.5%+1.4
Region rateNational average

Top I4.0 Terms Detected

Percentage of companies in this region with each I4.0 term detected across all evidence channels (website, LinkedIn profile, LinkedIn posts), colour-coded by technology pillar.

Robotics & AutomationAI & CognitiveDigital TwinsBig Data & AnalyticsAdditive ManufacturingIIoT & SensorsCybersecurityData & Systems IntegrationMobile & Wearables