Insight into new and emerging leadership populations and skills including size, distribution and diversity of talent hotspots
Driven by the integration of digital technologies, data analytics, automation and connectivity, and with significant supply chain implications, companies need to have robust strategies in place.
Need to map key skills?
ACCELERATING
TO INDUSTRY 5.0 Pays
Leaders already embracing Industry 5.0 are gaining competitive advantage from enhanced business models.
Forward-thinking organisations who have invested in Industry 4.0 talent over the last decade are increasingly well positioned to make the next transition.
IOT
224K
SMART
MANUFACTURING
IIOT
41K
ADDITIVE
MANUFACTURING
59K
111K
INDUSTRY 4.0 AND 5.0
TALENT BREAKDOWN
Industry 4.0 can be defined as the integration of intelligent digital technologies into manufacturing and industrial processes. The key experiences and capabilities include Internet of Things (IOT) Industrial IoT (IIOT), Smart Manufacturing and Additive Manufacturing.
The evolution to Industry 5.0 refers to people working alongside robots and smart machines. It’s about robots helping humans work better and faster by leveraging advanced technologies like IOT and big data.
US NUMBER ONE TALENT SOURCE, FOLLOWED BY INDIA
Building international teams?
TECH AND CONSULTANCIES HAVE THE MOST INDUSTRY 4.0 AND 5.0 TALENT
TOP FIVE EMPLOYERS OF INDUSTRY 4.0 AND 5.0 TALENT
Rolls Royce has 17% of Intel Corporations IOT talent
Toyota has 19% of Microsoft’s IOT talent
INDUSTRY 4.0 AND 5.0 LEADERS ARE PREDOMINATELY MALE
Compared to global averages for Manufacturing (19%) and Infrastructure (16%) Industry 4.0 and 5.0 populations have low gender diversity.
Global | Country 1 | Country 2 | Country 3 | Country 4 | Country 5 | |
|---|---|---|---|---|---|---|
IOT | 9% | US 14% | India 11% | UK 13% | Germany 11% | Canada 10% |
IIOT | 7% | US 8% | India 10% | Germany 9% | Canada 8% | UK 5% |
Smart Menu | 5% | US 12% | India 5% | Germany 9% | China 4% | UK 6% |
Addictive manu | 13% | US 14% | Germany 8% | UK 12% | India 2% | Italy 8% |
% percentages shown are percentages of women employed in industries
MORE HARDWARE THAN SOFTWARE EDUCATION
We compared the proportion of those who studied hardware focused subjects
(e.g. mechanical engineering) versus software (e.g. computer science).
Software Related Education | Hardware Related Education | |
|---|---|---|
All Specialisms | 75K | 119k |
IOT | 62K | 79K |
IIOT | 12K | 15K |
Smart Manufacturing | 5K | 10K |
Additive Manufacturing | 4K | 10K |
In additive manufacturing only 1 in 5 has a software focused education
Mechanical engineering, electronics and electronics are most commonly studied across Industry 4.0 and 5.0 leaders.
DEFINITIONS | |
|---|---|
Industry 5.0 | Co-operation between human intelligence and cognitive computing |
IOT | A network of interrelated devices that connect and exchange data with other IoT devices and the cloud |
IIOT | A subset of IoT aimed at industrial applications. It refers to a network of physical objects, equipped with connected technologies which collect real-time data about the condition and performance of the IoT objects |
Smart Manufacturing | Smart manufacturing uses internet-connected machinery to monitor the production process, identify opportunities for automation and use data analytics to improve manufacturing performance. |
Additive Manufacturing | Additive manufacturing is the industrial name for 3D printing where 3D models create parts with a 3D printer |
METHODOLOGY
We then examined in detail the population who had the following capabilities: IOT, IIOT, Smart Manufacturing or Additive manufacturing.
Conclusion
As we navigate the transition from Industry 4.0 to the promising horizon of Industry 5.0, the role of senior talent becomes increasingly vital. The fusion of technology, human expertise, and interconnected systems demands leaders who can harness innovation while preserving the wisdom of experience.
Industry 5.0 is not merely a new era in manufacturing and industry; it is a testament to the adaptability of senior talent, the potential of human-machine collaboration, and the commitment to sustainability and ethical progress. Our data demonstrates how quickly the industrial landscape is changing. Those that aren’t addressing readiness will lose out to those that are.
While the journey may be challenging, it is also profoundly rewarding as we shape a future where our industries not only thrive but also contribute to a better world.
