IIoT: Driving the Shift from Products to Outcome‑Based Services

Industrial Internet of Things (IIoT) is no longer a buzzword—it is a proven catalyst for unlocking trillions of dollars in revenue through heightened efficiency and the creation of new income streams. The German concept of Industrie 4.0 foreshadowed this shift, positioning connected technology as the foundation of the next industrial revolution.

While the idea of selling outcomes instead of hard goods feels fresh for start‑ups, legacy manufacturers face unique hurdles. “The problems occur when you have a legacy company that transitions over to the new model and pushes out a lot of revenue they used to get in one lump sum,” notes Chris Kocher, managing director at Grey Heron. In contrast, firms like Adobe and Microsoft have already migrated smoothly to the “as‑a‑service” paradigm.

Physical goods have lagged behind software in adopting subscription models, yet examples such as managed print services are emerging. A historical parallel is the MP3’s evolution: from 1993’s CD era to the 2000s’ downloads and, eventually, to Spotify’s 2008 launch, where consumers now pay a modest monthly fee for access to over 30 million tracks.

A century‑old precedent exists in aviation. In 1962, Bristol Siddeley introduced usage‑based maintenance contracts for the Viper engine on the British Aerospace 125 jet, a concept that Rolls‑Royce later trademarked as Power by the Hour. Executives report that the model can generate five times the revenue of a traditional engine sale, with payments flowing from parts and service fees over 20‑40 years.

Customers gain clear advantages: predictable maintenance budgets and no need to stock spare engines or accessories. This model is now spreading across industry sectors—Kaeser Kompressoren offers “air as a service,” John Deere promotes agricultural outcomes, and several OEMs sell “uptime” guarantees rather than standalone equipment.

IIoT fuels these arrangements by delivering real‑time insights into product usage, allowing manufacturers to align service levels precisely with customer needs.

Yet, adopting a service model raises practical questions. Providers must decide whether to share cost savings—known as gainsharing—or to keep savings solely within their own bottom line. While gainsharing can be highly attractive, it is notoriously hard to quantify and can fluctuate year to year, making CFOs wary of unpredictable payouts.

Accounting and revenue recognition also shift dramatically. A single product sale is recorded as a capital expense and depreciated over time, whereas a monthly subscription converts that income into an operating expense that is recognized incrementally. Companies transitioning to services may therefore take years to realize the full revenue that once arrived in one lump sum.

For incumbents, these operational and financial challenges are often the deciding factor in the success of a transition. In contrast, new entrants can adopt the service model from the ground up, sidestepping legacy constraints.

Beyond subscription models, the industrial sector is experimenting with monetizing IoT data, creating personalized products through smart manufacturing, and leveraging blockchain‑based smart contracts for logistics. These experiments remain largely in the testing phase but signal a broader shift toward data‑centric and outcome‑driven business strategies.

As IoT permeates factories and supply chains, executives must look beyond efficiency gains and explore entirely new ways of doing business. “The real advantages come when companies say: ‘we can do business in a whole new way’ and develop fresh products and revenue models,” Kocher asserts. This requires executive commitment and a willingness to rethink traditional processes from the top down.