Rising Adoption of Optimization and its Critical Role Across Industries: Report

Gurobi Optimization, LLC announces the release of its annual State of Mathematical Optimization Report to shed light on how organizations across industries are leveraging mathematical optimization.

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Gurobi Optimization, LLC announces the release of its annual State of Mathematical Optimization Report. The report sheds light on how organizations across industries are leveraging mathematical optimization, while also exploring the broader trends shaping the industry.  

The 2024 report is based on survey responses from 440 commercial Gurobi users. The findings indicate that interest in mathematical optimization is continuing to grow, with 93% saying it is either “gaining traction” or “remaining steady” among decision-makers in their organization.

“The findings from our 2024 survey highlight the continued growth and prominence of mathematical optimization across a wide range of industries,” says 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.”

Key Takeaways:

  • 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%), 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.
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