The New Skillset: What Automation Engineers Must Learn in 2025

The world of industrial automation is evolving faster than ever before With factories becoming smarter, systems more connected, and data the new driver of efficiency, the role of an automation engineer is no longer limited to programming PLCs or maintaining control systems.

2025 marks a turning point — where success depends not just on technical expertise but also on adaptability, digital fluency, and the ability to integrate technologies across disciplines.

Let’s explore the new skillset every automation engineer needs to stay future-ready.

1. AI and Machine Learning Integration

Artificial Intelligence (AI) is now at the core of predictive maintenance, quality control, and process optimization.
Automation engineers must understand how AI models work — how to collect, clean, and interpret operational data — and how to integrate ML algorithms with existing PLC/SCADA systems.
A basic understanding of Python, TensorFlow, or edge AI platforms will go a long way in bridging the gap between control and cognition.

2. Industrial IoT (IIoT) and Edge Computing

Connected devices are transforming the way plants operate.
The modern automation engineer must know how to deploy, configure, and secure IoT devices and gateways — and how to handle real-time data processing at the edge for faster decision-making.
Knowledge of protocols like MQTT, OPC UA, and Modbus TCP is becoming as important as ladder logic.

3. Cybersecurity Awareness for OT Systems

With increased connectivity comes greater vulnerability.
Cybersecurity is no longer the IT team’s responsibility alone — automation engineers must be able to secure PLCs, HMIs, and industrial networks from ransomware and unauthorized access.
Understanding the NIST and IEC 62443 frameworks and applying practical defense measures like segmentation and secure remote access are must-have skills.

4. Systems Thinking and Data Analytics

The best automation engineers in 2025 will be problem-solvers who think holistically.
They’ll analyze entire systems — not just components — using analytics tools like Power BI, MATLAB, or Ignition.
Interpreting KPIs, identifying inefficiencies, and turning data into actionable insights will be key to maintaining operational excellence.

5. Cross-Functional Collaboration & Soft Skills

Industry 4.0 thrives on teamwork between engineers, data scientists, IT professionals, and production managers.
Effective communication, project management, and leadership are now as critical as technical know-how.
Engineers who can explain complex systems simply and lead cross-department projects will stand out.

6. Sustainable & Ethical Automation

Green manufacturing is no longer optional.
Engineers must understand energy-efficient systems, lifecycle assessments, and how to design automation with sustainability in mind.
The next generation of automation leaders will be those who innovate responsibly — balancing productivity with environmental impact.

Final Thoughts

The automation engineer of 2025 is not just a control systems expert — they are a digital transformation enabler.
They speak the language of data, security, and collaboration while keeping their roots in strong engineering fundamentals.

At Automation Mesaverse, we’re helping professionals stay ahead of this curve — through networking, mentorship, and shared learning from industry experts.