How Manufacturers Meet the Growing Demand for Engineering Data

How are manufacturing leaders approaching the growing demand for engineering data?

New independent research from Tech-Clarity explores how manufacturers are responding to the growing demand for engineering data and weighing custom-built solutions, ready-to-use technologies, or a combination of both.

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Inside the Report

What the Research Explores

Through in-depth conversations with manufacturing leaders, we explored how organizations are approaching engineering data challenges today and preparing for what's next. That means choosing when to build a custom, in-house solution and when to buy a commercial, off-the-shelf tool, and why many do both. The report highlights common themes, differing perspectives, and practical takeaways from those discussions.

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Build, Buy, or Hybrid Decisions

How manufacturing leaders approach building custom 3D data solutions, buying off-the-shelf tools, or blending both.

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The Drivers Behind Each Approach

The business and technical factors, cost, speed, talent, differentiation, that push teams toward one path or the other.

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Managing Data Across Formats

The real-world challenges of moving CAD and engineering data across formats, systems, and teams.

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AI's Growing Influence

How AI is reshaping engineering software strategy and what it demands from your data.

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Practical Takeaways

Insights you can apply to your own engineering data initiatives, starting now.

Build, Buy, or Both?

Explore how manufacturers are balancing commercial software with custom development to meet evolving engineering data needs.

Independent. Objective. Built Around Industry Perspectives.

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This report was commissioned by Tech Soft 3D and researched independently by Tech-Clarity, drawing on in-depth interviews with manager, director, and VP-level leaders responsible for build-or-buy decisions on 3D engineering data.

Participants spanned Aerospace, Automotive, Industrial Machinery, Electronics/High Tech, and MedTech, all from companies with over $1 billion in revenue (the majority above $10 billion), across Europe and North America.

It captures qualitative insights, recurring themes, and real-world perspectives from organizations navigating today's engineering data challenges.

 

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