Traditionally, manufacturing companies have generated value primarily by designing, producing and selling physical products. Today, this model is rapidly evolving. As manufacturing becomes increasingly digital, data is emerging as a strategic business asset that enables entirely new products and services.
Trusted data sharing is becoming a driver of innovation and a foundation for new business models.
Data as a business asset
Every manufacturing process generates valuable data, from production performance and machine status to logistics, maintenance, quality control and product lifecycle information.
When organisations securely share selected data with trusted partners, they can transform this information into new services, better customer experiences and additional revenue opportunities while maintaining full control over their data.
The question is increasingly shifting from "Should we share data?" to "What data should we share, with whom, under what conditions, and how can we create value from it?".
From products to data-enabled services
One of the most significant changes enabled by data sharing is the transition from selling products to providing continuous services.
Instead of delivering a machine and ending the customer relationship, manufacturers can now offer:
- Predictive maintenance services;
- Remote monitoring and diagnostics;
- Performance optimisation;
- Energy efficiency consulting;
- Usage-based maintenance contracts;
- Digital support throughout the product lifecycle.
These data-enabled services create recurring value for both customers and manufacturers while strengthening long-term business relationships.
For example, a machine manufacturer can use securely shared operational data to move beyond one-time equipment sales and offer predictive maintenance or performance optimisation as recurring services. The customer benefits from reduced downtime, while the manufacturer develops a longer-term service relationship and new revenue opportunities.
New business models powered by collaboration
Data sharing also enables organisations to collaborate in new and more integrated ways. Companies can jointly develop:
- shared digital services;
- collaborative innovation platforms;
- industrial data spaces;
- digital marketplaces;
- cross-company analytics solutions.
Rather than competing only through products, organisations increasingly compete through ecosystems that combine expertise, technology, and trusted data.
Creating economic value from data
Data can create economic value in many ways, and direct data sales are only one possible approach. In manufacturing, companies can use data to improve existing operations and products, develop new services and create new sources of revenue.
Examples include:
- improving products through customer usage insights;
- reducing operational costs using predictive analytics;
- offering premium digital services;
- creating subscription-based solutions;
- enabling partners to build value-added services using shared data.
The business opportunity therefore lies not simply in the data itself, but in how manufacturers and their partners use it to create better solutions, deliver additional value to customers and develop new revenue opportunities.
Data ecosystems and platform-based business models
Digital platforms and data ecosystems are creating new ways for manufacturers, suppliers, customers, technology providers and service companies to collaborate and develop data-driven services.
They enable trusted data exchange while allowing participants to retain control over their own data. A key principle is data sovereignty: companies can determine who may access their data, for what purpose and under which conditions.
Such collaborative models can help companies connect with new partners, develop scalable digital services, accelerate innovation and access new markets. They also create opportunities for different organisations to combine complementary data, expertise, and services to generate value that would be difficult to create individually.
European initiatives such as Gaia-X, together with the development of sectoral and industrial data spaces, are helping establish frameworks for trusted, interoperable, and sovereign data sharing across organisations.
Creating value for SMEs
Data sharing is not only relevant for large industrial corporations. Small and medium-sized enterprises (SMEs) can also benefit by accessing new markets through digital ecosystems, participating in collaborative innovation, offering specialised data-driven services, improving customer relationships and increasing operational efficiency.
For SMEs in particular, trusted data cooperation can provide access to data, expertise, digital infrastructures and business networks that may be difficult to develop independently. By joining collaborative data ecosystems, SMEs can combine their specialised knowledge with the capabilities of other partners, helping them innovate, reach new customers and develop new services and business opportunities.
Turning shared data into tangible value
The real value of data sharing emerges when manufacturers and their ecosystem partners transform shared data into actionable insights, new services and measurable benefits for customers. Machine data, for example, can help predict equipment failures and enable predictive maintenance, reducing downtime while creating recurring service revenue. Energy consumption data can support optimisation services that lower customer costs, while product lifecycle data can improve traceability and enable new compliance and circularity services.
In this way, the path from data to business value can be summarised simply:
Data → Insight → Service → Customer value → Business value.
By turning shared data into solutions that address real customer needs, manufacturers and their partners can create value for customers while generating new revenue opportunities, strengthening business relationships, and building more competitive data-driven business models.
Skills for tomorrow's business models
As business models evolve, so do the skills required to support them. Manufacturing professionals increasingly need competences in:
- data-driven decision-making;
- digital business strategy;
- value creation from data;
- data governance;
- collaborative innovation;
- ecosystem thinking.
Developing these competences is essential for organisations that want to remain competitive in the digital economy.
Looking ahead with VET4DATACOOPERATION
The future of manufacturing will not be defined solely by smarter machines, but by smarter collaboration.
Companies that learn how to transform trusted data sharing into new services, stronger partnerships, and innovative business models will be better positioned to compete in an increasingly connected industrial landscape.
Through VET4DATACOOPERATION, we aim to support this transition by equipping manufacturing professionals with the knowledge and practical skills needed to understand data-driven business models, trusted cooperation, and the opportunities offered by industrial data spaces.
Follow the VET4DATACOOPERATION project for more insights, practical examples, and training resources on the future of trusted data sharing in manufacturing.
