Gurobi’s 2026 State of Mathematical Optimization Report Reveals Growing Convergence of AI and Optimization
Gurobi’s 2026 State of Mathematical Optimization Report Reveals Growing Convergence of AI and Optimization
Survey finds GenAI use is on the rise as organizations embed optimization deeper into everyday operations.
Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of its 2026 State of Mathematical Optimization Report. Based on a survey of 382 non-academic professionals across industries, the report examines how businesses are putting optimization to work, and how its use is evolving alongside other AI technologies.
In a notable shift, 79% of respondents now use GenAI or large language models (LLMs) in their optimization work, up from 30% in 2025, with 37% using these tools systematically in their development workflows. Respondents see the greatest potential for this combined approach in code generation and debugging (68%), model formulation (67%), and natural-language interaction with optimization models (62%).
Other key findings include:
- Optimization is becoming part of everyday operations: 52% of respondents say optimization supports ongoing decision-making at their organization, and 45% run it automatically in production workflows.
- Demand for optimization talent remains strong: 97% report that the number of applied optimization professionals at their organization is growing or holding steady.
- Teams are tackling more complex problems: The share of respondents solving multi-objective problems rose from 32% in 2025 to 40% in 2026.
- Combining machine learning with optimization reached a new high: 90% of respondents combine the two technologies on at least one project, up from 81% in each of the previous three years.
- AI and speed are shaping the field: Respondents named AI integration (67%) and faster real-time decision-making (57%) as the trends most affecting their optimization work.
“The next opportunity for mathematical optimization isn’t just solving more complex problems. It’s about bringing powerful decision-making capabilities to more people and areas of the business,” said Duke Perrucci, CEO, Gurobi. “As optimization becomes increasingly integrated with business operations and other AI technologies, we’re seeing the foundations of a new generation of intelligent decision-making systems.”
The 2026 State of Mathematical Optimization Report is available for download on the Gurobi website.
About Gurobi
Gurobi is the world’s most powerful optimization solver, built to help organizations determine the optimal course of action when faced with complex, real-world decision problems. As an integral AI technology, Gurobi applies mathematical optimization to transform data into reliable, defensible decisions.
Organizations across industries use Gurobi to optimize supply chains, allocate resources, price products, and manage risk—allowing them to act quickly, model complex systems without compromise, and make decisions they can stand behind.
Founded in 2008, Gurobi has operations in the Americas, Europe, and Asia. It serves customers in over 40 industries, including leading organizations like SAP, Air France, and the National Football League. For more information, please visit https://www.gurobi.com/ or call +1 (713) 871-9341.
Sarah Scarlata
Matter Communications
(617) 874-5068
gurobi@matternow.com
View source version on businesswire.com: https://www.businesswire.com/news/home/20261028472309/en/
The articles, information, and content displayed on this webpage may include materials prepared and provided by third parties. Such third-party content is offered for informational purposes only and is not endorsed, reviewed, or verified by Morningstar.
Morningstar makes no representations or warranties regarding the accuracy, completeness, timeliness, or reliability of any third-party content displayed on this site. The views and opinions expressed in third-party content are those of the respective authors and do not necessarily reflect the views of Morningstar, its affiliates, or employees.
Morningstar is not responsible for any errors, omissions, or delays in this content, nor for any actions taken in reliance thereon. Users are advised to exercise their own judgment and seek independent financial advice before making any decisions based on such content. The third-party providers of this content are not affiliated with Morningstar, and their inclusion on this site does not imply any form of partnership, agency, or endorsement.
Popular

4 Growth Stocks to Buy While They’re Still Undervalued

3 of the Best Core Stocks to Own

3 Great New ETFs From 2026

The 10 Best Companies to Invest in Now
