Monetizing Software in Devices: How to Build for Digital Growth

Device manufacturers are struggling to scale software revenue because monetizing software is fundamentally different from selling hardware.

As products become intelligent and software-defined, value creation is accelerating faster than monetization models can keep up.

Engineering teams are embedding AI, connectivity, and analytics into products designed to operate for 10 to 15 years in the field. Commercial models, however, often remain anchored to hardware-era assumptions. Features are built first. Pricing models are bolted on later.

The gap between digital innovation and monetization architecture is where structural friction accumulates.

Monetization is an Architectural Decision

When entitlement governance, pricing flexibility, and lifecycle strategy are retrofitted rather than designed in, companies accumulate monetization debt. These structural constraints limit agility, complicate compliance, and slow digital expansion across portfolios.

Manufacturers at the forefront of digital transformation trends treat monetization infrastructure as foundational, alongside connectivity, cybersecurity, and analytics.

The following six architectural decisions determine whether monetizing software becomes a competitive advantage or a structural bottleneck.

1. Define Software as a Strategic Asset

Before debating pricing models, leadership must determine the structural role software plays in the value proposition.

Is software a differentiator? A modular enhancement? Or a service platform that evolves independently of hardware?

Organizations that continue to bundle software implicitly with hardware often limit their ability to evolve packaging and pricing over time. Elevating software to a strategic asset requires alignment across product, engineering, finance, and sales.

Siemens Building Technologies recognized that increasing value was coming from digital services and formalized software as a revenue driver rather than an accessory. That shift required governance and cross-functional ownership, not just feature innovation.

For industrial OEMs, this transition is cultural as much as technical. Hardware organizations are optimized for physical SKUs and transactional revenue. Monetizing software demands lifecycle ownership, portfolio governance, and executive sponsorship, so the move from hardware to software monetization needs a coordinated shift in mindset.

2. Align Monetization with Customer Perception of Value

Industrial monetization succeeds or fails based on where value is positioned.

Recurring fees tied directly to device-level functionality often encounter resistance. Customers investing in capital equipment are cautious about incremental recurring charges layered onto hardware assets.

By contrast, monetization positioned at the enterprise or service layer, such as centralized visibility, predictive analytics, alarm filtering, performance optimization, and managed services, resonates more strongly. Customers are more willing to invest in measurable operational outcomes than in feature access alone.

Monetization architecture must therefore support layered value capture, enabling differentiation between embedded capabilities and enterprise-level digital services without engineering dependency.

3. Architect Pricing for Long-Lifecycle Product Markets

Intelligent device manufacturers operate under constraints that differ significantly from SaaS-native environments:

• 10-to-15-year product lifecycles
• Multi-generation installed bases
• Channel-driven distribution
• Hybrid CAPEX and OPEX procurement
• Regulatory oversight

Selecting a pricing model such as subscription, usage-based, tiered, or outcome-aligned pricing requires deliberate alignment with these structural realities.

Teradici’s transition from hardware sales to monetizing software via subscriptions illustrates the operational shift required. By implementing structured entitlement governance, the company enabled recurring revenue while supporting both on-premises and cloud deployments.

Organizations that automate entitlement and licensing infrastructure have reduced licensing enablement time for new product releases by up to 90%, converting administrative delay into measurable revenue acceleration.

In long-lifecycle markets, monetization maturity is operational as much as commercial. Without lifecycle-aware architecture, pricing flexibility erodes and portfolio complexity compounds over time.

4. Establish Monetization as an Enterprise Capability

When device manufacturers start monetizing software, many build licensing internally, embedding it within engineering teams. While this may address short-term requirements, it diverts focus from core product innovation and rarely scales across portfolios or acquisitions.

Compounding the challenge, organizations often lack a clearly defined licensing owner. Responsibilities are fragmented across engineering, IT, and sales operations. Without centralized accountability, entitlement strategy evolves reactively, resulting in manual workflows, inconsistent packaging logic, and delayed self-service initiatives.

Entitlement governance intersects commercial systems, compliance frameworks, lifecycle management, and customer experience. It is a specialized enterprise capability, not merely a firmware feature.

Treating monetization infrastructure as enterprise architecture rather than product code reduces technical debt and supports long-term scalability.

Industry analysis indicates that organizations can recapture approximately 4% of annual software revenue lost to noncompliant use by identifying that unlicensed use and converting it into new or additional revenue. In large portfolios, that percentage can represent tens of millions in unrealized or recoverable revenue. Monetization architecture is not theoretical risk mitigation. It is balance sheet protection.

5. Design for Governance, Compliance, and Self-Service

In regulated industries, feature activation is not simply a commercial action. It can impact validation workflows, audit trails, export controls, and cybersecurity posture.

Manual, file-based licensing models remain common in industrial environments. When provisioning, upgrades, and entitlement changes require support intervention, scalability becomes constrained by internal capacity rather than market demand.

Self-service entitlement provisioning enables customers to purchase, activate, and upgrade capabilities without manual order creation. This shifts monetization from operational friction to scalable digital execution.

A global medical equipment manufacturer launching AI-powered SaaS solutions across more than 200 markets faced this challenge. By leveraging enterprise-grade entitlement management solutions rather than building ad hoc systems internally, the company accelerated time to market while maintaining compliance and traceability.

Benchmarks from technology companies monetizing software indicate that implementing structured entitlement governance can achieve payback on infrastructure investment in less than six months due to operational efficiency gains and revenue acceleration.

Governance designed early prevents friction later.

6. Unlock AI-Driven, Outcome-Aligned Monetization

The next phase of industrial differentiation will increasingly be driven by embedded AI capabilities such as predictive maintenance, proactive alert filtering, dynamic performance optimization, and real-time operational adjustment.

Unlike traditional feature licensing, these capabilities generate measurable operational impact. For example, AI-driven optimization in energy-intensive systems can be monetized based on measurable savings rather than feature access. As energy efficiency improves, downtime decreases, and maintenance costs decline, monetization can align directly with realized outcomes.

When entitlement governance integrates with usage visibility, organizations gain the flexibility to introduce performance tiers, usage thresholds, and outcome-aligned AI pricing models without rewriting firmware or multiplying SKUs.

As AI becomes embedded across intelligent devices, monetization architecture must enable adaptive value capture across the product lifecycle.

Monetizing Software to Drive Growth

In many industrial organizations, thoughts about monetizing software only occur after digital products are built. Yet the ability to evolve pricing, activate features remotely, govern compliance, support self-service provisioning, and monetize installed bases often determines which manufacturers scale digital revenue successfully – and which remain constrained by legacy commercial models despite digital innovation.

The most effective strategies do not force digital business models onto hardware. They align pricing with perceived value, decouple entitlement governance from product code, design for regulatory complexity, and enable enterprise-layer monetization where ROI is clearest.

As differentiation shifts from mechanical performance to software intelligence, competitive advantage will not belong to those who build the most features. It will belong to those who architect how those features are commercialized.

Monetization is not a pricing exercise. It is strategic infrastructure.

If you’d like expert advice on monetizing software across your device portfolio, please contact Revenera.