European enterprises adopt AI and modular engineering to speed development and meet compliance demands, ISG report finds

European manufacturers are embedding AI, digital twins and structured engineering into product workflows to cut development cycles and meet regulatory requirements. HCLTech led customer satisfaction among large providers in ISG's survey of 26 firms.

Categorized in: AI News Product Development
Published on: Apr 15, 2026
European enterprises adopt AI and modular engineering to speed development and meet compliance demands, ISG report finds

European Manufacturers Shift to AI-Native Engineering to Speed Product Development

European enterprises are adopting AI-native engineering approaches to accelerate innovation while maintaining regulatory compliance and traceability, according to a new AI for Product Development report from Information Services Group, a technology research firm.

The shift reflects a broader repositioning of engineering as a core business function. Organizations are embedding AI, digital twins and structured engineering practices into workflows to improve efficiency, quality and governance across product lifecycles.

What's Driving the Change

Product development teams face pressure to modernize legacy systems without losing audit trails or sustainability credentials. Modular, software-defined engineering approaches address this by replacing fragmented tools with cloud-based data fabrics and API-driven frameworks.

Digital twins now enable simulation-led validation and early-stage testing, reducing reliance on physical prototypes. This cuts development cycles while maintaining the auditability required in regulated sectors.

Enterprises are also deploying agent-based systems and closed-loop optimization across design, production and service environments. These systems make faster decisions without compromising explainability and certification readiness-critical for industries like automotive, aerospace and manufacturing.

The Governance Question

Large service providers are winning contracts by offering deep domain expertise combined with AI governance capabilities. Enterprises need partners who can implement model governance frameworks, data lineage tracking and risk controls for machine learning operations.

Digital threads-data connections across the entire product lifecycle-now support compliance, warranty analysis and sustainability tracking. This end-to-end visibility addresses both regulatory expectations and business outcomes.

Who's Leading

ISG named Accenture, Akkodis, Capgemini, Cognizant, HCLTech, Infosys, TCS and Wipro as leaders across all three service categories evaluated: design and R&D, intelligent operations, and integrated platforms.

HCLTech scored highest in customer satisfaction among large digital engineering providers, according to ISG's Voice of the Customer survey.

The report evaluated 26 providers serving European enterprises with annual revenue over $2 billion. A separate report on midsize providers is planned.


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