Seven Manufacturing & Supply Chain Trends to Watch in 2026
Manufacturing leaders enter 2026 amid rapid technological shifts, evolving regulations, and changing customer expectations. What will distinguish the industry’s winners is their ability to turn trusted, harmonised data into action – powering AI with decision‑grade inputs, accelerating compliance, and building resilient, agile supply chains.
Björn Gerster, European Lead, Center of Excellence for Manufacturing shares their top trends that are set to transform the sector in the year ahead; from harnessing trusted data and AI, navigating regulatory complexity, and building resilient supply chains, to meeting rising customer expectations, managing financial risk, and upskilling talent for the digital era:
1. Data as the Foundation for Transformation
In manufacturing, clean, verified, and compliant data is the bedrock for operational excellence and risk management. Yet, only 36% of manufacturers feel confident in their data, and 44% have seen AI projects fail due to poor data quality according to our latest Manufacturing Pulse Report. Over half (51%) report data duplication and siloes, and just a third (33%) are investing in unified data platforms. Poor data quality distorts insights, undermines predictive models, and erodes trust in analytics tools. As manufacturers embrace AI and advanced analytics this year, robust data governance and harmonisation are more important than ever. High-quality data unlocks predictive maintenance, scenario planning, and real-time risk monitoring, while enabling seamless collaboration across the value chain. By investing in data quality and harmonisation, manufacturers position themselves to anticipate market shifts, drive innovation, and build lasting trust with partners and customers.
2. AI: Empowering Human Expertise and Decision-Making
AI is reshaping factory floors and supply chain control towers, enabling real-time risk monitoring and autonomous decision-making — mapping networks, surfacing financial, ESG, cyber and geopolitical risks, and automating routine tasks. But these capabilities depend on a solid foundation of accurate, timely, and integrated data. Without it, even the most advanced algorithms can misinterpret signals or amplify errors. That’s why manufacturers should be investing in data quality and governance alongside AI adoption. When fed with reliable data and guided by human expertise, AI empowers teams to shift from firefighting to strategic planning — keeping experts in the loop for complex trade, sanctions, and policy shifts while automating routine processes.
3. Regulatory Complexity and Compliance
Regulatory change is now the top challenge for a third of manufacturing leaders. From the EU Green Deal and CSRD to the Digital Product Passport, EU AI Act, heightened cyber rules, and evolving export controls – regulatory change is accelerating. Manufacturers need auditable, harmonised data to track ESG metrics, product provenance, and supplier compliance – turning automated reporting and governance into strategic advantages.
4. Building Resilient and Agile Supply Chains
Geopolitical volatility and trade disruptions are pushing companies to prioritise near-shoring and supply chain localisation. End-to-end visibility beyond Tier 1 is now critical for resilience and agility in a fast-evolving landscape, yet only 18% monitor compliance past Tier 3. Embedding analytics for risk modelling, scenario testing, and rapid response creates supply chains that withstand shocks and seize opportunities
5. Evolving Customer Expectations
Customisation, speed, sustainability, and transparency are now baseline requirements. Customers expect tailored products, rapid delivery, and clear evidence of ethical sourcing. Yet, only 11% of manufacturers monitor their full supply chain, and 70% struggle to find alternative suppliers with current data. If manufacturers are to win with customers in the year ahead and beyond, they must close data and visibility gaps; delivering real-time insights and deeper provenance to meet rising expectations and build lasting trust.
6. Financial Default Risk and Liquidity Management
Macroeconomic uncertainty is raising insolvency and payment default risk across supply chains. With net margins near 10%, a single payment default can require a tenfold revenue increase to offset losses – which is often unrealistic – making proactive credit checks, continuous monitoring, supply chain finance, factoring, and retention-of-title clauses essential. Proactive credit checks, diversified customer portfolios, and digital receivables management are vital to safeguard liquidity and build resilience.
7. The Talent Imperative
As technology reshapes the industry, new skills are in high demand. While 43% of manufacturers have adopted automation, a third (34%) still rely on manual processes. As manufacturers look ahead to 2026, building skills in analytics, governance, and AI will be critical. These capabilities enable businesses to harness data-driven tools, automate routine tasks, and free employees for higher-value work
By embracing these trends and investing in the right capabilities, manufacturers can position themselves for resilience, innovation, and growth in 2026 and beyond.