Product Information Management
Manufacturing in 2026 is being reshaped by three forces at once: AI moving from pilot to production, sustainability regulation with real compliance deadlines, and supply chains under enough strain that resilience is now a board-level priority, not an operations footnote. This guide covers the eight trends driving that shift and what each one actually requires from your product and operational data.
Executives, e-commerce leaders and CTOs will find:
- Actionable insight on adapting to current manufacturing technology trends
- How to manage regulatory shifts such as the Digital Product Passport (DPP)
- How to build resilience in a volatile global economy
Trend 1: How Is Digital Transformation Reshaping the Factory Floor?
Manufacturers are moving from pilot projects to fully integrated smart factories. With sensors, IIoT networks, and advanced software, plants are becoming more adaptive and data-driven. The National Association of Manufacturers notes that smart factories can adjust in real time to market demand, driving efficiency and lowering costs.
Surveys suggest that by 2026, half of manufacturers expect to deploy AI, machine learning, and IIoT at scale, while many are already committing close to a third of their operating budgets to digital tools such as cloud platforms, generative AI, and 5G. The shift includes:
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MES and MOM platforms that link enterprise planning directly to the shop floor.
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Unified namespace architectures to standardise real-time data across systems.
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5G and edge computing, which enable faster data capture and more agile production.
Download free e-book: How Leading Manufacturers Use AI. Where is AI actually making a difference in manufacturing? Explore the real-world applications you can't afford to ignore
Download free e-book
How Leading Manufacturers Use AI
Where is AI actually making a difference in manufacturing? In our latest e-book, we explore the real-world applications you can’t afford to ignore!
Trend 2: How Are Manufacturers Actually Using Generative AI?
AI is moving firmly into mainstream use.
Deloitte’s surveys show that more than half of industrial product manufacturers already use generative AI tools, and many plan to step up investment over the next three years. Unlike early pilots, projects now come with clearer ROI metrics and are closely aligned to broader digital strategies.
Key applications include:
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Generative design: aerospace and automotive firms are using AI to create lighter, stronger parts with less material.
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Predictive maintenance: AI analyses equipment data to prevent breakdowns before they happen, saving time and cost.
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Automated documentation: generative AI streamlines technical paperwork and speeds up prototyping.
Data quality remains the biggest barrier. Nearly 70% of manufacturers cite poor or inconsistent data as their main obstacle to AI adoption. Success will depend on solid data governance, interoperable systems, and an approach that supports workers rather than displaces them.
Trend 3: Why Is Maintenance Shifting from Reactive to Predictive?
Maintenance is shifting from reactive to strategic. Cheaper sensors and IoT devices, paired with predictive analytics, mean unplanned downtime can now be anticipated and avoided. With 5G connectivity, vast amounts of data can be transmitted quickly for real-time analysis.
For manufacturers, this means:
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Extending the life of expensive equipment.
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Scheduling repairs more efficiently.
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Increasing productivity by keeping lines running.
For smaller companies, predictive maintenance is becoming more accessible and will be a key lever for competitiveness.
Trend 4: How Are Manufacturers Building Supply Chain Resilience?
Global supply chains are under strain from conflict, extreme weather, and labour shortages. Shipping rates have already surged after incidents in the Red Sea and the Panama Canal, and similar risks are expected to continue.
Manufacturers are responding with:
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Diversification and nearshoring, to reduce exposure to single-source dependencies.
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Digital supply chain planning, with more than three-quarters of companies investing in advanced planning software.
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AI-driven forecasting, modelling disruptions and suggesting alternative routes.
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End-to-end visibility, using real-time tracking to monitor suppliers and shipments.
The balance is shifting from lowest-cost sourcing towards more resilient networks, with reshoring expected to accelerate in 2025.
Trend 5: How Is Digital Commerce Changing How Manufacturers Sell?
Digital commerce is changing how manufacturers sell by pushing B2B buying experiences closer to what B2C shoppers already expect: instant quoting, self-service ordering and full product transparency, not brochure-style catalogues. Manufacturers are increasingly bridging traditional industry and modern e-commerce through direct-to-customer and B2B digital commerce channels.
How Are Manufacturers Meeting Rising B2B Buyer Expectations?
Industrial buyers now expect the same convenience and transparency as B2C shoppers. Manufacturers are moving beyond brochure-style websites and investing in full-scale digital commerce portals that offer:
- Rich online product catalogues
- Instant quoting and pricing tools
- Self-service ordering workflows
- Personalised dashboards with account history
Why Are Manufacturers Modernising Toward Headless, API-First Architecture?
To support this shift, manufacturers are modernising their software architecture. Monolithic legacy ERP and MES systems are gradually giving way to microservices-based, cloud-native applications that scale and adapt quickly.
This modular approach enables faster rollout of new capabilities, a new scheduling app or quality control service, without overhauling entire systems. It also underpins the shift towards MACH (Microservices, API-first, Cloud, Headless) architecture in digital commerce. Composable, MACH-aligned infrastructure is now the baseline expectation, not the differentiator; the manufacturers pulling ahead are the ones building on top of it with a genuinely headless, API-first product data layer that AI agents, not just people, can operate directly, so flexible integration with e-commerce, PIM, CRM and supply chain systems happens without a custom project every time.
What Role Does PIM Play in Manufacturing?
Manufacturers manage vast, highly technical catalogues: CAD files, safety data, specifications and compliance details. A headless, API-first Product Information Management (PIM) system acts as the operational backbone, ensuring that:
- Data from multiple sources (ERP, PLM, MDM) is centralised and enriched
- Every channel, websites, distributor portals, marketplaces, CPQ, print, is powered by consistent, high-quality product content
- Localised product data is available at scale, meeting global buyer expectations
This isn't only a data-storage problem. Bluestone PIM's e-book, Automation in Product Information Management, documents the specific rules that keep this kind of technical catalogue accurate without proportional headcount growth: automatic category assignment for new parts and SKUs, completeness-based handoff between engineering and content teams, and automatic channel sync whenever a specification changes, so a distributor portal never runs on an outdated CAD reference or safety sheet.
Download free e-book
Automation in Product Information Management
This e-book explains how automation works in product information management, which catalogue workflows can be automated today, and how an event-based architecture creates the foundation for the agentic PIM.
Trend 6: Sustainability and Carbon Neutrality
Sustainability is no longer optional. Manufacturing produces around 20% of global emissions, and regulators are demanding greater accountability. New rules such as the EU’s Corporate Sustainability Reporting Directive and the upcoming Digital Product Passport (DPP) will require companies to track and disclose detailed environmental data.
Key priorities include:
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Cutting emissions with renewable energy and circular-economy models.
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Using digital tools to measure, report, and optimise energy and material use.
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Positioning sustainability as a driver of innovation and brand differentiation, not just compliance.
The most competitive manufacturers combine digital and sustainability initiatives: using AI to optimise energy use, or deploying carbon-tracking systems that strengthen both compliance and efficiency at once. For a full breakdown of what manufacturers specifically need to prepare, see Digital Product Passport: What Manufacturers Need to Know.
Download free e-book: How to Create a Digital Product Passport. From 2026, the regulation begins to apply to selected product groups, requiring companies to provide structured, detailed information about the products they place on the EU market.
Download free e-book
How to Create a Digital Product Passport
From 2026, the regulation will begin to apply to selected product groups, requiring companies to provide structured, detailed information about theproducts they place on the EU market.
Trend 7: How Is Additive Manufacturing Moving Beyond Prototyping?
3D printing is moving beyond prototypes to full production. Advances in speed and precision mean manufacturers can produce parts on demand, reducing stock levels and cutting lead times.
Benefits include:
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Tailoring products to individual customer needs without retooling.
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Rapid prototyping to shorten development cycles.
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On-demand production for spare parts and small batches.
This technology is especially powerful for smaller manufacturers, enabling them to compete in niche markets with customised, high-value products.
Trend 8: Why Are Manufacturers Pursuing a "Triple Transformation"?
Digital and sustainability transformations are no longer enough on their own. The World Economic Forum argues for a third pillar: resilience.
This involves:
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System-level reinvention rather than isolated fixes.
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Coordinating digital and sustainability programmes to boost returns.
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Assessing resilience in areas such as supply chains, logistics, and product portfolios.
The idea of a “triple transformation”: digital, green, and resilient sets the benchmark for manufacturers aiming to thrive in a volatile world.
What Should Manufacturers Prioritise for 2027 and Beyond?
Generative AI, predictive maintenance, 5G, additive manufacturing, and direct-to-consumer models all promise new ways to grow. But the pressure from regulators, customers, and global disruptions means that digital, sustainability, and resilience must now advance together.
Firms that act decisively and strengthen their product data with a composable PIM software will be better placed to withstand shocks and capture opportunities in the industrial economy of the future. Talk to our experts to see how we can support you.
