The Future of MES & Data Engineering (2025–2035)
Why This Report Matters
In the next decade, billions of dollars will be invested in MES and Data Engineering. Companies that don’t adapt will lose competitiveness, while those that anticipate trends will secure the most profitable opportunities in manufacturing, pharma, aerospace, and beyond.
This report is your roadmap to the next wave of digital transformation.
What You’ll Learn Inside
✔️ How the MES market will grow from $16B to $26B by 2030.
✔️ The end of on-premises dominance and the rise of Cloud & Hybrid models.
✔️ Which industries — Automotive, Pharma, Electronics, FMCG — are leading MES adoption.
✔️ The executive roles of the future: CDO, Chief Digital Officer, and Chief AI Officer.
✔️ The biggest risks of obsolescence (and how to avoid them).
✔️ A clear set of recommendations to future-proof your business and your career.
✔️ The end of on-premises dominance and the rise of Cloud & Hybrid models.
✔️ Which industries — Automotive, Pharma, Electronics, FMCG — are leading MES adoption.
✔️ The executive roles of the future: CDO, Chief Digital Officer, and Chief AI Officer.
✔️ The biggest risks of obsolescence (and how to avoid them).
✔️ A clear set of recommendations to future-proof your business and your career.
Who Should Read
- Executives & managers in manufacturing, pharma, aerospace, and high-tech.
- Data & digital leaders preparing for Industry 4.0 transformation.
- Investors and consultants tracking high-growth industries.
- Ambitious professionals aiming for executive-level careers.
Unlock the Hidden Value in Your Manufacturing Data
Most Digital Transformation initiatives in manufacturing fail — not because the algorithms are weak, but because the data is. Dirty, inconsistent, and fragmented data costs U.S. companies over $3 trillion every year and quietly kills digital transformation projects.
In my new practical guide, “Fix the Foundation: How to Solve Data Quality Issues in Manufacturing Environments”, you’ll learn:
✅ Why AI can’t fix bad data — and what you must do first
✅ The 5-Layer Framework to clean and govern manufacturing data
✅ How to reduce wasted time in hidden “data factories”
✅ Immediate actions to start building AI-ready infrastructure today
✅ The 5-Layer Framework to clean and govern manufacturing data
✅ How to reduce wasted time in hidden “data factories”
✅ Immediate actions to start building AI-ready infrastructure today
“AI doesn’t fix bad data — it amplifies it.”
📥 Download the free guide now and start transforming your manufacturing data into a trusted foundation for AI and smart decision-making.