Industrial companies are using advanced software more than ever before. Connected industrial control systems (ICSs), predictive analytics, digital twins, and AI-powered optimization are being widely deployed across factories, fleets, and production lines to create a better, safer, and more efficient operating environment.
However, in too many cases, the potential revenue from these technologies is realized inconsistently, both in the timing and amount. While the benefits of using these technologies may be quantifiable in terms of improved uptime, yield, efficiency, and safety, the corresponding financial benefits are often not.
It’s a clear contradiction. Generating digital value has never been easier, yet it’s never been harder to collect. This is largely because most of these companies have no systems in place for licensing, entitlements, and monetization.
In short, realizing value from your software requires more than just creating innovative solutions. It also requires systems, enforcement, and intelligence.
Monetization as a leadership capability, not a pricing exercise
Historically, industrial leadership has centered on excellent engineering capabilities and scale in manufacturing. While these remain important factors, on their own, they’re not enough for industrial leadership.
There is a growing competitive edge in how effectively organizations derive economic value from their software. Software monetization cannot be seen as merely a secondary consideration or downstream pricing issue; it’s a capability on par with product design, operations, and security at the system level.
As such, leaders will need to establish flexibility, intelligence, and trust, not as concepts, but as operational practices. Monetizing software is a strategic inflection point in how industrial value is created and maintained.
Why monetization lags behind industrial software innovation
Industrial software has changed unrecognizably. It is now modular, updated continuously, and deployed across edge devices, industrial plants, and the cloud. Gradually, over long lifecycles (even decades), it delivers value, as industrial assets operate and evolve.
Conventional industrial monetization models were not built for this reality. Rather, they were created for one-off sales, fixed configurations, manual tracking, and the assumption that most value is delivered upon shipment. However, software is the gift that keeps on giving, delivering value long after deployment.
Consider a fleet of robots with increasing throughput due to continuous software updates or an optimization algorithm for a programmable logic controller (PLC) whose needs change over time. In both examples, the value of the equipment increases over time. The monetization strategies for a static physical product sold once and maintained through a warranty model cannot keep pace with the value increase provided by software.
The invisible revenue gap: Where value quietly escapes
This discrepancy leads to subtle, yet persistent consequences. Premium features are being implemented in an ad hoc manner during the initial installation or implemented across a range of locations with minimal visibility.
These issues add up. Industrial assets have an exceptionally long lifespan. They remain in use for 10-15 years, so the cumulative effect is that the value of these assets diminishes. In total, the result is enormous, even though the individual effects appear minor.
There’s certainly no failure of intent; after all, most businesses want to capture the value they bring to customers. The issue, rather, is the lack of systemic controls in these complex, distributed environments, where software is hard to govern manually.
Competition happens after machines ship
In today’s industrial markets, differentiation continues long after the initial sale.
Two identical machines can deliver very different values depending on the software installed and enabled. Hardware can be standardized, but it’s the software that sets machines apart, offering agility, premium margins, and a far broader market reach.
Feature-based differentiation on a single platform with shared functionality—offering time-based or use-based access to advanced features, user-level access models, or subscription-based billing structures—has become increasingly popular among businesses. By using these methods, businesses can offer their customers a variety of options to meet their individual needs while keeping their products from fragmenting into a multitude of versions.
It’s a mindset shift from servicing activities that add value to your business to providing added value to your customer’s business. Customers are willing to pay for software only when it adds tangible value to their business operations.
However, this shift will only be successful if the packaging, entitlement, and enforcement are scalable. Otherwise, the system’s complexity will grow faster than revenue.
Business model agility as a competitive advantage
Industrial customers operate under different financial models. Some prefer capital expenditures (Capex); others favor operational spending (Opex). Market leaders serve both without fragmenting systems or operations.
Perpetual, subscription, and usage-based models can coexist. The differentiator lies not in the model itself, but in the ability to support multiple models without hampering operations. Whatever the model, the goal is unique: to monetize software effectively and ensure high customer satisfaction.
Business model agility fuels growth by expanding addressable markets. It limits risk by more closely aligning cost and value. It also creates a barrier to entry for competitors who lack the discipline to manage complexity at scale.
How usage intelligence changes the game
Traditional pricing decisions were often made based on assumptions, benchmarks, or cost-plus thinking. On the other hand, modern monetization is based on evidence of delivered value (such as actual usage) for a product or service.
Usage intelligence lets a business see how its features impact new customer acquisition and retention, as well as potential expansion opportunities and possible future risks to renewal. Usage intelligence also enables entities to modify their packaging options based on their customers’ true usage patterns and to develop product roadmaps that deliver real results.
Control, trust, and revenue are now intertwined
For software to be monetizable, its value has to be enforceable. In industrial settings, protecting revenue and risk management go hand in hand.
IP protection, secure enforcement in edge and offline systems, and auditability for compliance have become nonnegotiables. They are at the heart of the trust we place in long-lived, mission-critical environments.
Trust is a revenue enabler that underpins sustainable, ongoing value.
Capturing value is now the differentiator
The paradox is obvious. Software value has never been easier to deliver, but consistently capturing it requires deliberate discipline. Software monetization must be built with the same level of engineering that went into the software itself. Intelligence, control, flexibility, and trust will be part of the infrastructure; they can’t just be an add-on to the software.
The question leaders must answer is straightforward: Is the organization building the discipline to extract monetary value from its software, as well as building it?
