Data Engineering Critical for Analytical Infrastructure, Dresner Study Finds — Dresner Advisory Services, LLC

Event summary

Dresner Advisory Services published its 2026 Data Engineering Market Study on February 26, 2026.
82% of respondents view data engineering as important, with 33% citing its critical role in every use case.
North America and EMEA lead adoption, particularly in healthcare, manufacturing, and financial services.
Organizations prioritize graphical development environments, no-code transformations, and AI-assisted capabilities.
Traditional ETL functionalities like complex grouping, scheduling, and monitoring remain essential.

The big picture

Data engineering is increasingly recognized as a critical enabler of successful analytical data infrastructure, with organizations prioritizing both modern and traditional functionalities. The study highlights significant expansion plans over the next two years, particularly in key sectors like healthcare, manufacturing, and financial services. This trend underscores the growing importance of robust data workflows across various use cases.

What we're watching

Adoption Expansion: How the planned significant expansion of data engineering technology over the next two years will impact market dynamics.
Feature Prioritization: Whether organizations can balance modern features like AI-assisted capabilities with traditional ETL functionalities.
Regional Growth: The pace at which data engineering adoption will mature in regions beyond North America and EMEA.