Gurobi Releases Annual State of Mathematical Optimization Report

• Growing Demand for Optimization Expertise: Nearly all respondents (98%) reported that their organization’s operations research teams were growing or remaining steady—a 5% increase from last year.
• Growing Reliance on Optimization: 84% of respondents said their work in mathematical optimization is “mission-critical” to their organization.
• Integration with Machine Learning Remains High: 81% reported that their organization currently combines machine learning with mathematical optimization for at least one project, which is consistent with last year’s findings.
• Diverse Applications Across Industries: The top use cases reported by respondents include planning (55%), operational applications (45%), production planning (42%), and supply chain planning (41%), demonstrating optimization’s versatility.
• Increased Overlap Between Optimization and Data Science: 55% of respondents report collaborating with data scientists on a daily or weekly basis, reflecting a rise in cross-functional collaboration.

“The findings from this year’s survey highlight the continued growth and prominence of mathematical optimization across a wide range of industries,” said Duke Perrucci, CEO of Gurobi. “As more organizations recognize its potential to solve strategic and operational challenges, we’re excited to see its adoption expand into even more areas.”

The State of Mathematical Optimization report is available for download on the Gurobi website.

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