tech
Automation World Covers Continuous Improvement in Industrial Software

Automation World, a trade publication covering manufacturing automation and process controls, has published a piece on applying continuous improvement principles to industrial software, according to the outlet's listing indexed by Google News. The full text of that article was not available for review, so the specific recommendations or case studies the outlet cites cannot be independently summarized here. What can be reported is the topic itself and how it fits into a broader, data-backed shift already underway in enterprise and industrial software spending.
What does continuous improvement mean for industrial software?
In manufacturing and process industries, "continuous improvement" traditionally refers to incremental, measured changes to production lines, often tracked through methodologies such as Kaizen or Six Sigma. Applying that same discipline to software means treating control systems, manufacturing execution systems, and supervisory platforms as products that are updated in small, testable increments rather than replaced wholesale every several years. Automation World's coverage of the topic signals that trade press serving plant engineers and operations technology buyers is treating software update cycles as a story worth tracking, not just a back-office IT concern.
Why is Automation World tracking this trend now?
The headline alone does not specify a trigger event, funding round, or product launch tied to this piece, and no such detail was supplied in the available source material. What is clear from the publication's framing is that the subject sits at the intersection of two older industrial software buyers once kept separate: operational technology teams running physical equipment, and information technology teams managing enterprise software. Trade outlets covering automation have increasingly folded software-development practices, such as iterative release cycles, into coverage once reserved for hardware and controls.
How does this connect to broader AI productivity spending?
A separate figure gives some sense of scale for the software category industrial buyers are being asked to continuously improve. An HTT News Data Desk report published Sept. 16, 2026, cited a market forecast projecting the global AI productivity tools market to reach $69.22 billion by 2035, according to that report. That figure covers AI productivity software broadly, not industrial software specifically, and the Automation World item does not appear to break out industrial or manufacturing software as a distinct line item in the material reviewed for this report. Still, the two stories point in the same direction: software vendors and trade press alike are treating iterative, ongoing upgrades, rather than static installs, as the baseline expectation across both office and plant-floor tools.
A related HTT item published the same day examined the emotional and workplace dynamics of introducing AI tools into existing teams, a dynamic that applies as much to operators learning new plant-floor interfaces as to office workers adopting AI productivity software, according to that report's framing.
What should plant and IT buyers watch for next?
Because the underlying Automation World article was not available in full, this report cannot confirm specific vendor names, product updates, or dollar figures tied to the continuous-improvement push it describes. Readers tracking this space should look for the following in the weeks ahead:
- Whether Automation World or other trade outlets publish follow-up pieces naming specific vendors or case studies tied to continuous-improvement software rollouts in manufacturing.
- Whether the $69.22 billion AI productivity tools market figure, cited for 2035, gets revised upward or downward in subsequent forecast updates, and by which research firm.
- Whether plant operators report measurable change-management friction, the kind flagged in HTT's workplace-dynamics coverage, as industrial software shifts from infrequent major upgrades to rolling releases.
- Whether operational technology and information technology budgets at manufacturers begin to merge formally, a structural change that would make iterative software releases easier to fund and schedule.
Why does the source material limit this report?
The Google News index entry available for this story provided a headline and outlet name but not the article body, author, or publish date. Under HTT News sourcing standards, figures and claims not present in reviewed material are omitted rather than estimated. That is why this report cites only the $69.22 billion market projection from a separate, fully reviewed HTT article rather than attributing any specific statistic to the Automation World piece itself. Readers seeking the original reporting's full detail should consult the Automation World story directly through the link above.
Questions
What does continuous improvement mean when applied to industrial software?
It generally refers to updating manufacturing control and execution systems in small, testable increments rather than through infrequent, large-scale replacements, a practice borrowed from manufacturing methodologies like Kaizen and Six Sigma.
How big is the AI productivity tools market expected to become?
An HTT News Data Desk report published Sept. 16, 2026, cited a forecast projecting the global AI productivity tools market to reach $69.22 billion by 2035.