{"id":596,"date":"2024-03-21T10:00:00","date_gmt":"2024-03-21T10:00:00","guid":{"rendered":"https:\/\/jacar.es\/as-a-service-industrial\/"},"modified":"2024-03-21T10:00:00","modified_gmt":"2024-03-21T10:00:00","slug":"as-a-service-industrial","status":"publish","type":"post","link":"https:\/\/jacar.es\/en\/as-a-service-industrial\/","title":{"rendered":"Industrial ‘As a Service’: Models That Work"},"content":{"rendered":"

The \u201cas-a-service\u201d<\/strong> model is spreading from software into industry. Large manufacturers \u2014 Rolls-Royce with \u201cpower by the hour\u201d, Philips with \u201clight as a service\u201d, Caterpillar with flexible rental \u2014 convert equipment sales into outcome<\/strong> sales. You don\u2019t sell a turbine; you sell generation hours with SLA. For the buyer: less capex, less risk. For the seller: recurring revenue and deeper customer relationship.<\/p>\n

This article covers real models gaining traction, what makes them work, and which fail despite the hype.<\/p>\n

The Existing Models<\/h2>\n

Equipment-as-a-Service (EaaS)<\/h3>\n

The customer rents equipment per use\/time, manufacturer retains ownership. Maintenance included.<\/p>\n

    \n
  • Classic<\/strong>: Rolls-Royce \u201cPower by the Hour\u201d \u2014 pay per flight hour, they maintain.<\/li>\n
  • Chemical plants<\/strong>: cooling, compressed air, steam \u201cas a service\u201d.<\/li>\n
  • Manufacturing machinery<\/strong>: CNC, industrial robots per use.<\/li>\n
  • Construction<\/strong>: Kubota, Caterpillar offer flexible rental.<\/li>\n<\/ul>\n

    Outcome-Based Pricing<\/h3>\n

    The customer pays for result, not product.<\/p>\n

      \n
    • Lighting<\/strong>: Philips charges per \u201clux \u00d7 hour\u201d delivered.<\/li>\n
    • Water<\/strong>: wastewater treatment, pay per m\u00b3 treated.<\/li>\n
    • Agriculture<\/strong>: yield per hectare with seed+fertiliser+services.<\/li>\n
    • Logistics services<\/strong>: charge per moved unit, not per vehicle.<\/li>\n<\/ul>\n

      Industrial Platform-as-a-Service<\/h3>\n

      Digital platforms orchestrating distributed physical assets.<\/p>\n

        \n
      • Xerox<\/strong>: \u201cmanaged print services\u201d \u2014 pages printed.<\/li>\n
      • Hilti<\/strong>: power tools \u201cfleet management\u201d with tracking.<\/li>\n
      • ABB Ability<\/strong>: digital suite for industrial assets.<\/li>\n<\/ul>\n

        Maintenance-as-a-Service<\/h3>\n

        Contract guaranteeing uptime in exchange for fee.<\/p>\n

          \n
        • Wind turbines<\/strong>: Siemens Gamesa, Vestas offer LTSA (Long-Term Service Agreement).<\/li>\n
        • Elevators<\/strong>: Otis, Kone, Schindler have premium \u201c99.9% uptime\u201d service.<\/li>\n
        • Industrial machinery<\/strong>: upgrades, parts, proactive operation included.<\/li>\n<\/ul>\n

          What Working Models Have in Common<\/h2>\n

          Shared patterns:<\/p>\n

            \n
          • Deep telemetry<\/strong>: manufacturer receives asset data 24\/7 to know real state.<\/li>\n
          • Clear SLAs<\/strong>: what counts as \u201cdelivered\u201d, with measurable metrics.<\/li>\n
          • Structured financial model<\/strong>: who pays capex, how profits split.<\/li>\n
          • Aligned incentives<\/strong>: manufacturer wants the asset to work well, not fail.<\/li>\n
          • Risk assumed with skin in the game<\/strong>: not \u201cI assure it\u2019ll work\u201d, but \u201cI pay consequences if not\u201d.<\/li>\n<\/ul>\n

            Without these five, as-a-service stays marketing.<\/p>\n

            Technical Requirements<\/h2>\n

            To enable as-a-service:<\/p>\n

              \n
            • Advanced IIoT<\/strong>: sensors, reliable connectivity, cloud.<\/li>\n
            • Digital twins<\/strong> of installed asset.<\/li>\n
            • Predictive maintenance<\/strong> with ML over history.<\/li>\n
            • Field service management<\/strong> for quick interventions.<\/li>\n
            • Usage-based pricing and billing platform<\/strong>.<\/li>\n
            • OT security<\/strong> \u2014 the connected asset is an attack vector.<\/li>\n<\/ul>\n

              \u201cAs-a-service\u201d is impossible without substantial prior digital investment.<\/p>\n

              Customer Benefits<\/h2>\n

              From industrial buyer\u2019s perspective:<\/p>\n

                \n
              • Capex \u2192 opex<\/strong>: improves balance, frees capital for other investments.<\/li>\n
              • Risk transfer<\/strong>: manufacturer carries operational risk.<\/li>\n
              • Update access<\/strong>: you don\u2019t stay with 10-year-old equipment.<\/li>\n
              • Cost predictability<\/strong>: maintenance included, no surprises.<\/li>\n
              • Expertise access<\/strong>: manufacturer has aggregated data and know-how.<\/li>\n<\/ul>\n

                Manufacturer Benefits<\/h2>\n
                  \n
                • Recurring revenue<\/strong>: predictable ARR vs sales cycles.<\/li>\n
                • Superior valuation<\/strong>: SaaS multiples > manufacturing multiples.<\/li>\n
                • Deep relationship<\/strong>: constant upsell opportunities.<\/li>\n
                • Real usage data<\/strong>: continuous product improvement.<\/li>\n
                • Entry barrier<\/strong>: competitors can\u2019t easily replicate.<\/li>\n<\/ul>\n

                  Where the Model Fails<\/h2>\n

                  Lessons from unsuccessful attempts:<\/p>\n

                    \n
                  • Without real telemetry<\/strong>: you don\u2019t know if the asset is being used per contract.<\/li>\n
                  • Impossible SLAs<\/strong>: committing to 99.99% uptime when reality is 98%.<\/li>\n
                  • Customer who doesn\u2019t want the model<\/strong>: some prefer full control by buying.<\/li>\n
                  • Poor financing model<\/strong>: manufacturer lacks balance to carry capex.<\/li>\n
                  • Traditional sales mindset<\/strong>: sales team keeps selling units, not services.<\/li>\n
                  • Organisational structure<\/strong>: separate \u201cas a service\u201d team from traditional sales.<\/li>\n<\/ul>\n

                    Transition: How to Start<\/h2>\n

                    Pragmatic runbook:<\/p>\n

                      \n
                    1. One pilot product<\/strong>: not the whole line initially. Something self-contained.<\/li>\n
                    2. Early adopter customers<\/strong>: 2-3 willing to experiment, not the biggest.<\/li>\n
                    3. Full instrumentation<\/strong>: sensors, data pipeline, operational dashboards.<\/li>\n
                    4. Detailed financial model<\/strong>: honest unit economics, usage scenarios.<\/li>\n
                    5. Dedicated operations<\/strong>: team understanding service, not just manufacturing.<\/li>\n
                    6. Iterate<\/strong>: first contract will have issues. Learn without breaking the relationship.<\/li>\n<\/ol>\n

                      One year from pilot to second customer. Five years to being dominant model.<\/p>\n

                      Sectors with Most Traction<\/h2>\n

                      By maturity order:<\/p>\n

                        \n
                      1. Aerospace<\/strong>: pioneer since \u201960s. \u201cPower by the Hour\u201d is standard.<\/li>\n
                      2. Heavy industrial<\/strong>: ABB, GE, Siemens, Schneider with mature offerings.<\/li>\n
                      3. Construction \/ Mining<\/strong>: Caterpillar, Komatsu.<\/li>\n
                      4. Renewable energy<\/strong>: LTSA standard in wind and solar.<\/li>\n
                      5. Precision agriculture<\/strong>: John Deere, Climate Corp.<\/li>\n
                      6. Logistics \/ fleet<\/strong>: truck management.<\/li>\n<\/ol>\n

                        Sectors still nascent: small machinery, light chemical plant services, certain discrete industry.<\/p>\n

                        Cases with Numbers<\/h2>\n
                          \n
                        • Rolls-Royce<\/strong>: ~50% of civil aerospace revenue is services.<\/li>\n
                        • Philips<\/strong>: \u201cLight as a service\u201d contracts >10 years with Schiphol, RAU.<\/li>\n
                        • ABB<\/strong>: Ability generates >$5B\/year in digital services.<\/li>\n
                        • Hilti<\/strong>: fleet management grew to >30% of revenue.<\/li>\n
                        • Schneider Electric<\/strong>: EcoStruxure services as recurring growth driver.<\/li>\n<\/ul>\n

                          Risks and Difficulties<\/h2>\n

                          Realistic:<\/p>\n

                            \n
                          • Critical cybersecurity<\/strong>: connected asset is door to manufacturer.<\/li>\n
                          • Complicated compliance<\/strong>: who\u2019s responsible when problem occurs.<\/li>\n
                          • Technological dependence<\/strong>: if manufacturer fails, your plant stops.<\/li>\n
                          • Changing regulation<\/strong>: some sectors (health, energy) have evolving frameworks.<\/li>\n
                          • Cultural resistance<\/strong>: traditional procurement departments don\u2019t love growing OPEX.<\/li>\n<\/ul>\n

                            Conclusion<\/h2>\n

                            The as-a-service model in industry is real and growing, but not universal. Working cases share ingredients: deep telemetry, honest SLAs, aligned incentives, solid financing. For industrial manufacturers, transition represents a fundamental business change \u2014 not just technological. Long-term benefits justify investment, but execution is where most fail. Starting small, with a product and customers wanting the model, is the pragmatic path.<\/p>\n

                            Follow us on jacar.es for more on Industry 4.0, business models, and digital transformation.<\/p>\n","protected":false},"excerpt":{"rendered":"

                            Equipment-as-a-service, outcome-based pricing, and maintenance-as-a-service are changing industry. Which models gain traction and which fail.<\/p>\n","protected":false},"author":1,"featured_media":597,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21,20],"tags":[405,409,408,146,407,406],"class_list":["post-596","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industria-4-0","category-startup","tag-as-a-service","tag-business-model","tag-equipment-as-a-service","tag-industria-4-0","tag-outcome-based","tag-servitization"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"en","enabled_languages":["es","en"],"languages":{"es":{"title":true,"content":true,"excerpt":true},"en":{"title":true,"content":true,"excerpt":true}}},"gutentor_comment":0,"yoast_head":"\nIndustrial 'As a Service': Models That Work - Jacar<\/title>\n<meta name=\"description\" content=\"Industry as-a-service: EaaS, outcome-based, industrial PaaS. 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