As today’s businesses seek to reduce costs, improve efficiency, and make smarter, data-driven decisions, many are discovering the power of mathematical optimization and the impact it can make across their operations.
In fact, according to Gurobi's latest State of Mathematical Optimization report, 93% of optimization users surveyed reported that optimization is either gaining traction or remaining steady among decision-makers within their organizations.
But who are these teams behind the scenes, putting optimization to work to drive innovative impacts?
Optimization experts—including those trained in operations research, data science, mathematics, and engineering—are quickly becoming the MVPs of today’s leading businesses.
These professionals know how to leverage all of the key technology components in decision intelligence to help their organizations find the best possible solutions to their biggest challenges.
The Hidden Drivers of Business Success
Optimization may not always be in the spotlight, but its impact is undeniable. Across industries—from supply chain management to energy distribution, finance, and transportation—optimization professionals help their organizations operate at peak efficiency.
According to our survey:
84% of optimization experts say their work is mission-critical to their company’s success.
98% report either steady or growing numbers of operations researchers within their organization.
And the demand for optimization expertise is rising. According to the Bureau of Labor Statistics, over 28,300 new operations researchers will be needed by 2033.
Check out more key stats in the infographic below:
Why Businesses Are Investing in Optimization
The growing reliance on this technology isn’t just a trend—optimization is essential for any organization that wants to remain competitive.
Companies that embrace optimization can:
Boost profitability by making better resource allocation and pricing decisions.
Increase efficiency by optimizing logistics, supply chains, and production schedules.
Improve decision making by integrating both predictive and prescriptive analytics to find the best course of action.
Enhance resilience by developing contingency plans that can adapt to disruptions based on “what-if” analyses and tradeoff considerations.
Organizations that fail to invest in optimization risk losing out to competitors who are using it to drive better results.
The Growing Demand for Optimization Skills
As more businesses recognize the potential of mathematical optimization and how it can transform their operations, the demand for talent will continue to grow.
Optimization professionals typically have backgrounds in:
Operations Research
Data Science
Mathematics
Engineering
The current job market reflects the growing demand for these skills. In addition to the rising demand for operations researchers, the Bureau of Labor Statistics projects a need for 73,100 additional data scientists by 2033.
The Democratization of Optimization Expertise
Although optimization is a fast-growing field, it has historically had a high barrier to entry, demanding specialized expertise. According to our survey, 82% of respondents hold either a master’s degree or doctorate.
However, there are more resources than ever available to those who are interested in learning more about optimization or looking to develop their skills.
For example, Gurobi AI Modeling takes a problem-first, mathematics-second approach, enabling new users to quickly see optimization in action and jumpstart their journey into better decision making. This set of documentation and AI-powered resources will teach you how to leverage generative AI technology to build simple optimization models.
Gurobi also offers a number of educational resources aimed at helping academics, data scientists, and others build a strong foundation in optimization.
Curious to learn more about the current and future state of optimization? Download the complete State of Mathematical Optimization report today.
