What you missed at the Manufacturing Data Summit Europe 2025 

The inaugural Manufacturing Data Summit Europe 2025 (MDSEU) brought together thought leaders, tech specialists and industry players, all ready to share insights, opinions, and advice based on real world experience. Hosted by Manufacturing Today and powered by A-Team Group, the London-based conference upheld its ambitions to work as an active forum, where an impressive lineup of experts, innovators, and disruptors addressed some of the most pressing challenges facing the industry. MDSEU welcomed manufacturers, technology vendors, and consultants, all united by one goal: transforming raw data into business value. Managing to deliver interesting, valuable content, while maintaining a high energy and sociable atmosphere, the Summit received glowing reviews from attendees. 

Unlocking manufacturing’s next decade 

The theme, Building the Manufacturing Organization of 2035, ran through the entire day, while panels, fireside chats and keynotes focused on more specific discussions. Overall, the consensus was clear: the future is one of advanced technology, robotics, and digitalization, all driven by the principles of net zero and resource efficiency. Innovate UK shared its vision for 2050, emphasizing three strategic imperatives: being net zero and resources efficient, resilient and responsive, and technologically advanced and digitalized. The aim is to embed the philosophy of the circular economy within manufacturing by 2035. 

A core message from the Summit was that digital technologies supported by a robust data strategy must be at the heart of what you do. In fact, one speaker from a major defense prime argued that having the data strategy is the ‘absolutely most fundamental piece’. This strategy is critical for managing data, ensuring its coherence, flow, and security, especially in a post-quantum world. However, speakers also note the importance of people – the human aspect of digital transformation remains a critical element. As a speaker noted ‘cultural change is really key’. 

A foundation built on data quality and trust 

The relationship between data and AI was a major talking point. In many leading organizations, AI and data are treated together, with AI being characterized as the method for interpreting data and drawing insight. However, this hinges entirely on data quality. The stark warning from the experts: without sorting out your data strategy, your AI is essentially ‘garbage in, garbage out – on steroids’. 

Solving this problem also requires a focus on governance, making sure the data is properly contextualized, managed and stored – it must be easily accessible and, in a useable format! As a speaker noted, manufacturing is often manual and paper based, and companies have siloed data stored in multiple places. ‘We are drowning in documents but starving for insight.’ The good news is that frontier firms – those who embrace AI and automation – are twice as likely to be thriving as their peers. 

The right data strategy can turn data into value. BMW Group shared a success story – thanks to its digital twin plant platform, it caught a supplier hardware fault that would have been missed because they were streaming production quality data to a central place. BAT highlighted the importance of Master Data Management (MDM) to establish a single source of truth. Technology providers further stressed that strong document management equals useful AI, with one noting their system allows for audit readiness to be measured in minutes, not weeks, thanks to automated, AI-driven tagging of documents. 

A further keynote discussed resilience – but in terms of people. Going beyond the factory floor, it examined the benefits of diverse teams for innovation – research has shown that diverse teams outperform their peers by 39 percent. 

The shift to new business models 

MDSEU also explored how data is not just an internal efficiency tool but a driver of new revenue. The concept of creating a ‘marketplace for data internally’ was proposed – flipping the perspective to ask: Can I make money out of this data, or reuse it for multiple purposes? This entrepreneurial approach to data, coupled with technology like dynamic digital twins and edge computing plus AI, is essential for unlocking true value. 

Furthermore, the focus on predictive modeling and equipment data is opening new revenue streams through servitization. This emerging model, often referred to as ‘equipment as a service’, fundamentally changes how manufacturers interact with their customers and assets. 

Cyber resilience and the human factor 

In an increasingly connected ecosystem, cybersecurity was a critical concern. Industrial firms still account for a staggering 37 percent of all cyber-attacks. The root causes boil down to the supply chain, legacy systems, and the convergence of IT/OT. The best defense is a diverse, skilled workforce empowered by intelligent technology. Experts recommended moving towards micro segmentation of infrastructure to control the ‘blast radius’ of an attack. Most importantly, the future of manufacturing relies on the augmented human technician acting on AI recommendations, not the fully ‘dark factory’. 

A day of rigorous discussion and eye-opening insights, MDSEU 2025 was a demonstration of the manufacturing sector’s commitment to building a more adaptive, sustainable, and resilient future. The overall message was clear: the future of manufacturing is here, and it’s being built on data, security, and smart, empowered people. 

Join the Manufacturing Today Community 

Ready to build the organization of 2035? Don’t miss out on what an industry leaders called the “Best Summit attended!!”  

Libbie Hammond 

Editor 

Manufacturing Today 

 Delegate and Speaker Voices 

Hearing directly from those on the factory floor provided some of the day’s most powerful moments. 

Manufacturing delegate insights: 

“Expertly run, informative networking event!”  

Craig Bennett, Tate & Lyle Sugars  

“Very insightful, good user cases, knowledgeable and skilled speakers.” 

Mark Evans, McLaren Automotive  

“It was good exposure to different data/AI solutions.”  

David Jun, Edwards, Part of the Atlas Copco Group 

Speaker quotes on sector-specific challenges: 

Defense/Engineering: “Understanding a data strategy in the context of needing to be secure in a post-quantum world is absolutely critical.” 

Manufacturing: “The stumbling blocks have been more the people to manage and deploy new technology… The old technology does not talk to the new shiny toy.” 

Consumer Goods/Retail: “We are drowning in documents but starving for insight.”