6 trends driving digitalization in the manufacturing industry

Manufacturing leaders face a hard question. Out of all the digitalization trends out there, which ones will actually move the business, and which will just add another disconnected system to babysit?

The answer comes down to your information. Every part, batch and approval depends on a document, and that paperwork sits across the ERP, PLM, CAD and quality systems, with no single place holding the full picture. Approvals take weeks to route, audits mean digging through years of records, and AI software stalls because off-the-shelf AI software like a chatbot can't securely reach your company content, nor should it.

The trends that matter are the ones that fix this. Here are six you should be paying attention to.

Disruption isn't the exception anymore. When the International Longshoremen's Association walked out in October 2024, JPMorgan analysts pegged the potential hit to the US economy at as much as $5 billion a day. The New York Fed's Global Supply Chain Pressure Index climbed 1.3 points in the two months after the Strait of Hormuz conflict began, putting it 1.8 standard deviations above its long-run average.

Disruption on that scale reaches individual manufacturers as smaller, everyday problems. A shipment doesn't show up, or a supplier fails an audit, and the companies that recover fastest are the ones who can see the whole picture and reroute quickly. That speed comes down to supplier information you can reach in a usable form, right where the work happens, whatever system you're in. This includes:

• Supplier certificates, contracts, and performance data connected, current, and instantly accessible in the systems your teams already use
• Late deliveries and shipments that arrive short flagged automatically, the moment they happen
• An alternate source you can qualify and bring online fast, before the line stops

A good example is GROHE, the sanitary fittings manufacturer. It keeps supplier information in electronic files that its teams can reach from the systems they already work in, across all of its international sites.

Compliance has become one of the biggest reasons manufacturers are finally modernizing how they manage information, whether that pressure comes from ISO 9001, customer-specific requirements, FDA and other regulatory obligations, sustainability reporting or product liability. What they all have in common is a demand for documentation that's complete, current and provable on demand. Duravit, the bathroom manufacturer, hit that point when its old archive stopped keeping up with the volume of documents coming in, and it migrated around 20 million of them into audit-proof storage without pausing operations.

When your quality records are spread across disconnected systems, proving conformity turns into a manual scramble that can eat up days. If the controls are built into how documents are stored in the first place, that work is already done:

• Version control, so there's never a question of which revision was approved
• Retention rules and audit trails applied automatically, not tracked by hand
• Encrypted content and role-based access protecting the records you rely on

The Industrial Internet of Things links the machines, sensors and embedded systems on the floor with the applications that run the business, like your ERP, PLM and order management software. So a press reports its own cycle times, a CNC machine flags a tool nearing end of life, and a sensor on a bearing logs a temperature climbing outside tolerance. Done well, maintenance gets scheduled before a failure instead of after one, and the process data feeds back into how the next run is set up.

The problem is that most of this data never leaves the machine that produced it, or it lands in a system nobody outside engineering can query. It only becomes useful when it's connected to the documents that give it meaning, so the sensor log sits alongside the maintenance record, the batch data sits alongside the certificate of analysis, and the deviation sits alongside the approved drawing revision it relates to.

That connection is what makes the data usable when it matters. A customer calls about a failed part from a batch shipped eight months ago, and quality can pull the machine readings from that shift, the batch record, the inspection results and the drawing revision in force at the time, then answer the question the same day rather than opening a two-week investigation.

Neways Electronics, a contract electronics manufacturer, took this approach with its production paperwork. Everything relating to a given production run now sits in one searchable file rather than scattered across separate systems, so process engineering can pull up the full picture without knowing where each piece was filed.

AI has arrived on the shop floor, and manufacturers are betting on it. Deloitte's 2025 Smart Manufacturing survey found that 92% of manufacturers see smart manufacturing as a primary driver of competitiveness over the next three years. The value isn't in general-purpose chatbots, though. It's in trusted enterprise AI put to work on real manufacturing jobs, such as:

• Quality control: AI analyzes production data to catch errors and deviations early, and generate reports that meet documentation requirements.
• Supply chain: automating order-entry and invoicing, delivering a 360° view of suppliers, and making collaboration easier.
• Risk management: streamlining supplier assessments, as long as the information sits in an electronic supplier file the AI can actually read.
• Inventory: connecting warehouse data with finance to automate the whole purchase-to-pay process.

The catch is that AI is only as good as the information you feed it, and a bolted-on chatbot can't reach most of yours. It's locked down in secured systems, which is where heavily guarded manufacturing IP belongs. That's what makes the next trend the one underneath all the others.

Manufacturers that get past this are the ones putting AI where the documents already live. SEW-EURODRIVE, the drive and automation technology manufacturer, runs 80 to 90 separate AI-powered document and workflow applications, and its archiving team can search 50 to 60 years of company history and get results back in milliseconds.

That's what makes the next trend the one underneath all the others.

Notice what every trend above depends on. Resilience needs a shared view of your suppliers, compliance needs records you can trace, IIoT only pays off when machine data lands somewhere everyone can reach, and AI only works when it can read the right information. They all rest on the same thing: a single source of truth.

That means one connected, compliant and governed place where documents, data and processes come together, tied into the systems you already run, from SAP and other ERP platforms to CRM, PLM, and production environments. Without it, each trend becomes its own island with its own version of the truth. With it, engineering, the supply chain, production, quality and finance all work from the same current information. The manufacturers pulling ahead built that foundation first.

TGW Logistics, which builds automated warehouse systems, went this route. Teams across the group now work from the same data rather than each site holding its own copy, which is what made growth across locations manageable.

Every trend above comes back to the need for information that's connected instead of trapped in separate systems. That's what an intelligent content automation (ICA) platform is for. In plain terms, it's one system that connects securely to the content locked inside ERP systems like SAP, and also your PLM, CAD and quality systems, handling each document through its entire lifecycle. Where other AI software can't reach your content, ICA can, respecting the role-based permissions that guard it, so AI finally has connected information it can actually use.

It links related information across your systems and understands it in context, so everyday content becomes reliable insight you can act on. It's an approach we at Doxis call Document Intelligence, able to:

• Understand and extract the content of a document
• Automate the process it belongs to
• Generate, communicate, and interact to move work forward
• Store and manage it, compliantly and audit-proof
• Search and find it in seconds
• Collaborate on it across teams and locations

Ready to learn more about Document Intelligence for manufacturing? Check out our quick 2-pager flyer here.