Service Innovation in B2B: How Industrial Companies and SMEs Develop New Services -- 8 DACH Case Studies and a Maturity Model

Service revenue grows 40 percent faster than new equipment sales. Service margins average ten percentage points above product margins. And yet nearly three quarters of German machinery manufacturers have a service share below 20 percent.¹

This gap between what service could contribute to the bottom line and what it actually delivers is the largest untapped growth lever in German industry. The technology for data-driven services exists. The platforms have been built. What is missing is a systematic methodology for turning machines and data into real services — in other words, service innovation.

This article presents three types of B2B service innovation, a maturity model from product seller to service provider, eight DACH case studies, and the servitization paradox — which explains why even well-funded companies fail at service transformation.

What Makes B2B Service Innovation Different from B2C

B2B service innovation follows different rules than consumer service development. Eight differences are decisive:

Dimension	B2C Service	B2B Service
Purchase decision	Individual, emotional	Buying committee, rational
Decision cycle	Minutes to days	Months to years
Integration	Standalone	Must fit existing systems
Customization	Standard product	Individually configured
Relationship duration	Transactional	Long-term contractual
Pricing	Transparent, simple	Complex, negotiated
Risk profile	Low (individual expense)	High (operational disruption)
Success metrics	User numbers, satisfaction	ROI, total cost of ownership

These differences mean that B2C innovation methods fail in a B2B context. A design sprint that invents a new consumer service in three days breaks down against the complexity of a B2B ecosystem with buying committees, system integration, and compliance requirements.

Three Types of B2B Service Innovation

Type 1: Servitization — From Product to Performance Promise

Servitization describes the transition from product sales to service delivery. Three maturity levels:

Basic services (maintenance, spare parts, training) — most companies are here. The service accompanies the product but is not an independent business model.

Advanced services (condition monitoring, remote maintenance, optimization) — data-driven services that extend customer value beyond the product. Schindler Ahead connects elevators, escalators, and moving walks to the IoT cloud for predictive maintenance.²

Outcome-based services (outcome-based contracts, pay-per-use, equipment-as-a-service) — the customer pays for the result, not the product. This is the most radical form: it transforms all six dimensions of service innovation according to den Hertog.³

Type 2: Platform-Based Service Innovation

Digital platforms enable services that no single company could offer alone.

IoT platforms connect machines and processes: Siemens Xcelerator (over 400 offerings from Siemens and certified partners), ADAMOS (cross-manufacturer IIoT platform, founded by DMG MORI, Duerr, Zeiss, and Software AG).⁴

Data ecosystems enable sovereign data exchange: Manufacturing-X as the overarching initiative, Catena-X (automotive), Factory-X (machinery, with SAP and Siemens as leads, 47 consortium partners).⁵

B2B marketplaces create new transaction models: from online commerce through supply chain platforms to collaboration tools.

The BDI framework distinguishes five categories of digital B2B platforms: IoT platforms, data transaction platforms, B2B marketplaces, supply chain/logistics platforms, and collaboration platforms.⁶

Type 3: Professional Services Innovation

Knowledge-intensive services that become scalable through methodization and technology. Festo Didactic industrialized technical training as training-as-a-service. Consulting firms develop SaaS products to complement project-based work.

In the B2B context, software and service increasingly merge: SaaS + service integration models in which the software product only delivers its full value with the accompanying service.

The Maturity Model: From Product Seller to Service Company

The synthesis of acatech Smart Service Welt, Bain data, and Fraunhofer studies yields four maturity levels:⁷

Level 1: Product-Accompanying Basic Services

Repair, spare parts, commissioning, basic training. Service is a cost center, not a profit center. Typical revenue share: below 15 percent.

Level 2: Process Optimization

Condition monitoring, remote service, predictive maintenance, operational optimization. Service becomes data-driven and generates its own customer value beyond the product. Typical revenue share: 15 to 25 percent.

Level 3: Outcome Guarantee

Outcome-based contracts, pay-per-use, guaranteed availability. The customer pays for the result (compressed air, printed sheets, operating hours), not the product. Typical revenue share: 25 to 40 percent.

Level 4: Platform-Based Value Creation

Ecosystem services, data monetization, cross-industry solutions. The company becomes a platform on which third parties also offer services. Typical revenue share: above 40 percent.

Critical: Each level requires different capabilities. You cannot skip a level. Anyone who jumps from Level 1 directly to Level 3 without having built the data infrastructure and customer relationship depth of Level 2 will fail.

Eight DACH Case Studies

1. Hilti — Fleet Management (Tools-as-a-Service)

Hilti offers customers all the tools they need for a fixed monthly fee — including maintenance, repair, and replacement. Construction companies shift CapEx to OpEx, reduce downtime, and eliminate tool management overhead.⁸

Service innovation type: Servitization Level 3 (product-to-service) What makes the difference: Hilti understands that the customer wants to drill holes, not own drills. The customer benefit — uninterrupted construction site work — is at the center, not the product.

2. Kaeser Kompressoren — SIGMA AIR UTILITY (Compressed-Air-as-a-Service)

Instead of buying a compressed air station, customers pay for the compressed air they actually use. Kaeser plans, installs, operates, and optimizes the entire compressed air system. Fixed price for the agreed volume, fixed price for additional consumption.⁹

Service innovation type: Servitization Level 3 (outcome-based pricing) What makes the difference: The customer needs no capital for the investment, frees up personnel for other tasks, and receives continuously optimized life-cycle costs. Kaeser wins: recurring revenue, deeper customer relationships, and operational data that enable better products.

3. Heidelberger Druckmaschinen — Subscription (Print-as-a-Service)

Customers pay exclusively per printed sheet — not for the printing press. The price includes software, consumables, service, and maintenance. Over 700 print site contracts worldwide. Target: roughly one third of total revenue from contract business.¹⁰

Service innovation type: Servitization Level 3 (equipment-as-a-service) What makes the difference: The AI-powered Performance Advisor optimizes production in real time. Print shops convert CapEx to OpEx; Heidelberg gains predictable recurring revenue and deeper customer lock-in through data.

4. Schindler — Ahead Platform (Predictive Maintenance + IoT)

Schindler Ahead connects elevators, escalators, and moving walks to the IoT cloud. A digital closed-loop system connects customers, passengers, equipment, and service technicians. Predictive maintenance identifies and resolves problems before they occur.²

Service innovation type: Servitization Level 2 (process optimization, data-driven) What makes the difference: Building operators gain higher availability, deeper insights, and cost control. Schindler differentiates through service rather than product alone.

5. Siemens — Xcelerator (Digital B2B Ecosystem)

An open digital business platform with curated IoT-enabled hardware, software, and digital service offerings. A marketplace for customers, solutions, partners, and developers. Over 400 offerings, partnership with NVIDIA for the industrial metaverse.⁴

Service innovation type: Platform Level 4 What makes the difference: Siemens is not building individual services but the platform on which an ecosystem of services can emerge. The design principles: interoperability, flexibility, openness, as-a-service.

6. Duerr/ADAMOS — IIoT Platform for Manufacturing

A cross-manufacturer IIoT platform, founded in 2017 by DMG MORI, Duerr, Zeiss, ASM PT, and Software AG. Enables machine connectivity, data exchange, predictive maintenance, and transformation services.¹¹

Service innovation type: Platform (co-opetition model) What makes the difference: Competitors cooperate at the platform level to jointly enable services that none could offer alone.

7. Putzmeister — Digital Construction (Concrete-as-a-Service)

In 2015, the Innovation Factory for digital business models was founded. PUMPNOW as an online platform for flexible screed pump rental. Direction: real-time monitoring, predictive maintenance, and data insights — no longer machine value, but data services.¹²

Service innovation type: Servitization Level 2 to 3 (in transition) What makes the difference: A mid-sized specialty machinery manufacturer that systematically builds digital services.

8. Trumpf — AXOOM (Failed Platform)

Trumpf founded AXOOM as its own digital subsidiary: a software platform for holistic management of machine, material, and personnel availability. Predictive maintenance, manufacturing-as-a-service. AXOOM was later discontinued — despite significant investment.¹³

Service innovation type: Platform (failed) What the lesson is: Even well-funded mid-sized companies can fail at platform-based service innovation. Causes: unclear value proposition, complexity of cross-manufacturer integration, chicken-and-egg problem with marketplaces.

Why B2B Service Innovation Fails: The Servitization Paradox

The servitization paradox describes a dual problem:¹⁴

The financial paradox: Companies invest heavily in service capabilities, but service revenues do not cover the higher costs of service delivery.

The organizational paradox: Incremental service additions do not generate the momentum needed for a genuine transformation from product to service orientation.

Four Tension Fields

1. Customization vs. efficiency: Services require individualization; production requires standardization
2. Customer orientation vs. engineering mindset: Service thinks from the customer outcome; engineering thinks from the product
3. Integrated vs. separate service organization: Both have downsides
4. Explorative innovation (new services) vs. exploitative innovation (better products)

The Organizational Evidence

Only 12 percent of surveyed machinery manufacturers have anchored the service business at executive board level.¹⁵ That means: service is managed operationally but not steered strategically.

Oliver Wyman’s five critical questions before implementing pay-per-use reveal the required depth:¹⁶

1. Does the model solve a customer problem better than existing solutions?
2. Is the manufacturer better positioned than the customer to bear the usage risk?
3. Is the customer willing to share data and cede control?
4. Is the customer willing to pay a premium for the risk transfer?
5. Does service usage generate enough revenue for hardware amortization?

Enabling Factors: What Successful B2B Service Innovators Do Differently

The patterns from the eight case studies and the Bain study reveal six success factors:

1. Service at C-level: Not as a department but as a strategic priority. Its own P&L or at minimum its own KPIs.

2. Data infrastructure as the foundation: IoT connectivity, data platforms, analytics capabilities — not as an afterthought but as the first investment. Without data, there are no data-driven services.

3. Co-creation with lead customers: The best B2B services are developed together with the most demanding customers. Multi-stakeholder design is not optional in B2B.

4. Talent mix: Service designers + industry experts + data scientists. None of them alone is sufficient.

5. Pricing courage: From cost-plus through value-based to outcome-based pricing. Each level requires more courage — and more confidence in your own service capability.

6. Organizational separation where needed: Kaeser, Hilti, and Heidelberg did not treat their service business models as side projects of the product organization. The service P&L and service accountability were clearly defined.

Entry Points: Where to Start?

Audit Your Service Share

Where do you stand in the Bain benchmark? Below 20 percent (like 75 percent of the market)? Between 20 and 40 percent? Above 40 percent (top performers)?

Map Customer Outcomes, Not Features

Customer journey mapping in a B2B context maps the entire usage cycle: procurement, commissioning, operation, maintenance, optimization, expansion, decommissioning. Service opportunities arise at every point.

Start with a Pilot

One pilot customer, one service concept, one measurable outcome. The service innovation process describes the phases: needs assessment, concept, prototype, pilot, scaling.

Measure from Day One

What measuring service innovation means in a B2B context: service revenue share, customer lifetime value, service margin, net promoter score for services, share of outcome-based contracts.

Think the Business Model Through

Service is not a product add-on. Business model innovation for services shows how revenue mechanisms, value propositions, and customer segments must change together.

Conclusion: Closing the Gap

The Bain data is clear: service grows faster, achieves higher margins, and creates deeper customer relationships. And yet the majority of German industrial companies remain below their potential.

The servitization paradox explains why: incremental service additions are not enough. What is needed is systematic service innovation — with the right methods (service design, service blueprinting, customer journey mapping), the right organization (service at C-level, its own P&L), and the right mindset (customer outcome over product feature).

The eight DACH case studies show: it works. Hilti, Kaeser, and Heidelberg did not plan their service transformation in theory — they implemented it in practice. Trumpf’s AXOOM shows: it can also fail. The difference lies not in the technology but in service design competence.

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Frequently Asked Questions

What is B2B service innovation?

B2B service innovation is the systematic development of new or significantly improved services in the business-to-business domain. It ranges from extending existing products with services (servitization) through platform-based service innovation (IoT, marketplaces) to the innovation of knowledge-intensive professional services.

What is servitization?

Servitization describes the transition of a manufacturing company from pure product sales to offering services. The four maturity levels range from basic services (maintenance, spare parts) through process optimization (condition monitoring, remote service) and outcome guarantee (pay-per-use, outcome-based contracts) to platform-based value creation (ecosystems, data monetization).

What is the servitization paradox?

The servitization paradox describes the observation that many companies fail to achieve proportional returns despite significant investments in service capabilities. The financial paradox: service revenues do not cover the higher costs. The organizational paradox: incremental service additions do not generate enough transformation momentum.

Which DACH companies are leaders in B2B service innovation?

Hilti (tool fleet management), Kaeser (compressed-air-as-a-service), Heidelberger Druckmaschinen (print subscription), Schindler (predictive maintenance platform), Siemens (Xcelerator platform), and the ADAMOS consortium (cross-manufacturer IIoT platform).

How do I get started with B2B service innovation?

Three steps: (1) Audit your service share and compare it against the Bain benchmark. (2) Map customer outcomes instead of listing features — customer journey mapping across the entire usage cycle. (3) Start with one pilot customer and one service concept, define measurable outcomes, and measure from day one.

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Footnotes

1. Bain & Company: Five Myths About the Service Business of Industrial Companies. Service revenue grows 40% faster than new equipment sales. Service margins average 10 percentage points higher. Top performers: 37% gross margin even on maintenance/repair. Nearly three quarters below 20% service share. Top performers: 40—60%. ↩

2. Schindler: Ahead Platform — digital closed-loop system for IoT-connected elevators, escalators, and moving walks. Partnership with Huawei for edge computing integration. ↩ ↩²

3. den Hertog, P., van der Aa, W. & de Jong, M. W. (2010): Managing Service Innovation. Journal of Product Innovation Management, 27(5), pp. 700—715. ↩

4. Siemens: Xcelerator — open digital business platform (2022). Over 400 offerings. Partnership with NVIDIA for the industrial metaverse. ADAMOS: cross-manufacturer IIoT platform (DMG MORI, Duerr, Zeiss, ASM PT, Software AG). ↩ ↩²

5. Manufacturing-X: German government initiative for industrial data ecosystems. Catena-X (automotive), Factory-X (machinery, SAP + Siemens, 47 partners). Based on Gaia-X and International Data Spaces. ↩

6. BDI: Digital B2B Platforms Made in Germany. Five categories: IoT platforms, data transaction platforms, B2B marketplaces, supply chain/logistics platforms, collaboration platforms. ↩

7. acatech: Smart Service Welt — national strategy recommendation. acatech Maturity Index for Smart Services (2022—2023, with Fraunhofer IEM and RWTH Aachen). Fraunhofer IAO: Competence Center Smart Services. ↩

8. Hilti: Fleet Management — all necessary tools for a fixed monthly fee including maintenance, repair, and replacement. CapEx-to-OpEx shift for construction companies. ↩

9. Kaeser: SIGMA AIR UTILITY and SIGMA FLEX — compressed-air-as-a-service. Fixed price for agreed volume. Kaeser plans, installs, operates, and optimizes the entire system. ↩

10. Heidelberger Druckmaschinen: Subscription Smart and Subscription Plus. Payment per printed sheet including software, consumables, service, and maintenance. Over 700 print site contracts worldwide. AI-powered Performance Advisor. ↩

11. Duerr/ADAMOS: Founded in 2017. Machine connectivity, data exchange, predictive maintenance apps, digital transformation services (training, consulting, implementation). ↩

12. Putzmeister: Innovation Factory (2015). PUMPNOW online platform for flexible screed pump rental. Direction: Concrete as a Service with real-time monitoring and data insights. ↩

13. Trumpf: AXOOM — digital subsidiary for software platform. Discontinued despite significant investment. Causes: unclear value proposition, integration complexity, chicken-and-egg problem. ↩

14. Frontiers in Psychology: Re-discussion of servitization strategy and firm performance (2022). Financial paradox (investments > returns) and organizational paradox (incremental additions without transformation momentum). ↩

15. VDMA/der-maschinenbau.de: Only 12% of surveyed machinery manufacturers have anchored service at executive board level. ↩

16. Oliver Wyman: Is Pay-per-Use the Future in Manufacturing Industries? (2019). Five critical questions before introducing outcome-based models. ↩