No-Code, Low-Code Adoption on the Rise: Study

No-code and low-code adoption is rising, with 18% of respondents to Gurobi Optimization’s State of Mathematical Optimization in Data Science survey now use no-code analytics platforms, more than double the rate from last year, reflecting a shift toward accessibility and ease of use. 

“We’re very excited to see that data scientists are interested in learning more about mathematical optimization, and that there’s a growing awareness of what it can do,” says Duke Perrucci, CEO of Gurobi. “Today’s problems demand fast, data-driven decision making. Having a tool that delivers optimal, explainable solutions is essential for achieving better outcomes.”

Key takeaways:

• 75% of respondents expressed a desire to learn more about mathematical optimization.
• 66% of respondents who currently use mathematical optimization report that they already integrate it with machine learning, or plan to do so in the near future.
• 65% of data scientists surveyed consider themselves self-taught, while the number holding advanced degrees continues to decline.
• 52% of respondents said that business priorities shape their annual professional development plans, highlighting the data science field’s strong connection to real-world applications.