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Median pay
$101,140
Median annual pay for Industrial Engineer.
U.S. Bureau of Labor Statistics · 2024
Strong growth is being driven by cost pressure, supply chains, automation, and process optimization across both manufacturing and services.
Strong growth is being driven by cost pressure, supply chains, automation, and process optimization across both manufacturing and services.
The measurable baseline is $101,140 median pay, 11% projected employment change from 2024 to 2034, and about 25,200 annual openings. Those figures establish the national baseline; the occupation-specific evidence on this page is what makes the decision more useful than a generic profile.
The national median-pay figure in the current ChooseField dataset is $101,140. The 2024 self-employed share is 0.2%, which matters because self-employment can make outcomes less uniform across workers. A national median is a benchmark, not a personal forecast: experience, geography, employer type, specialty, credentials, and hours can move actual compensation materially.
BLS data in the ChooseField corpus put 2024 employment at 351,100 and projected 2034 employment at 389,600. That corresponds to 11% projected growth over the decade. BLS projects about 25,200 openings per year, including growth and replacement demand. This distinction matters when people ask whether a field is oversaturated: growth measures whether the occupation itself is getting larger, while annual openings also reflect people retiring, changing occupations, or leaving roles that must be refilled.
BLS lists the typical entry education as Bachelor's degree. Treat this entry path like an investment: compare the time and cost required to enter with the pay, annual openings, and alternatives available at a similar training level.
Automation can increase demand. The headline figure is 11%. BLS projects strong growth as firms optimize production, supply chains, logistics, and automation. Source: U.S. Bureau of Labor Statistics (2024–2034).
The evidence is more nuanced than a yes/no replacement prediction. U.S. Bureau of Labor Statistics reports that BLS projects strong growth as firms optimize production, supply chains, logistics, and automation. ChooseField therefore treats AI as a force changing tasks and hiring patterns, not as a single probability that the occupation disappears.
Industrial engineering benefits from the same forces that automate routine work: firms still need people to redesign production, logistics, supply chains, and processes around new technology. The strong BLS growth projection supports that interpretation.
This field is a stronger fit if you are comfortable with a bachelor's-level technical foundation and want work centered on designing, integrating, or improving real systems.
Before choosing Industrial Engineer, compare it with Mechanical Engineer, Data Scientist, Civil Engineer. The purpose is not to find a universal winner; it is to see how pay, training time, annual openings, work setting, and field-specific risks change when you move to an adjacent option.
Strong growth is being driven by cost pressure, supply chains, automation, and process optimization across both manufacturing and services. The measurable baseline is $101,140 median pay, 11% projected 2024–34 employment change, about 25,200 annual openings, and a typical entry path of Bachelor's degree.
The national median in the current ChooseField dataset is $101,140. Treat that as a benchmark rather than an expected starting salary; actual compensation varies by experience, location, employer, specialty, credentials, and hours.
Compare Industrial Engineer with Mechanical Engineer, Data Scientist on pay, training time, openings, working conditions, and occupation-specific evidence rather than relying on one score.
The evidence is more nuanced than a yes/no replacement prediction. U.S. Bureau of Labor Statistics reports that BLS projects strong growth as firms optimize production, supply chains, logistics, and automation. ChooseField therefore treats AI as a force changing tasks and hiring patterns, not as a single probability that the occupation disappears.
National pay and employment projections come from the U.S. Bureau of Labor Statistics. Other sources are linked on their cards.