Digital technologies are revolutionising ship machinery management through real-time engine monitoring, digital twins and machine learning. By enabling predictive maintenance, reducing downtime and improving fuel efficiency, these innovations strengthen safety and operational performance. The research also highlights key challenges in deploying advanced condition-based maintenance algorithms across increasingly complex maritime systems.

Hybrid Unmanned Aerial Vehicles are pushing the boundaries of cross-domain autonomy by operating seamlessly in air and water. Using computational fluid dynamics to analyse dive and breach manoeuvres, researchers reveal critical insights into impact forces, buoyancy and propulsion performance, informing the design of more capable amphibious autonomous systems future missions.

Digital continuity is becoming a decisive factor in shipyard productivity. By extending the digital thread from design systems directly to production equipment and logistics, organisations can improve data reliability, boost confidence in manufacturing decisions and strengthen supply chain visibility. The results reduce rework, improve quality and accelerate more efficient shipbuilding operations.

Digital transformation is reshaping ship design by challenging the traditional Design Spiral. As enterprise digital backbones connect data, processes and stakeholders across the vessel lifecycle, design becomes a network of interconnected iterations rather than a linear sequence. The shift promises greater collaboration, traceability and decision-making efficiency, unlocking new opportunities for lifecycle optimisation.

Simulation-driven ship design is redefining vessel development by replacing fragmented design cycles with integrated, automated optimisation. By combining high-fidelity CFD, stability analysis and digital engineering tools, this approach enables designers to explore complex trade-offs simultaneously, delivering lower resistance, improved performance and faster innovation for next-generation low-carbon ships and alternative propulsion solutions.

AIS data is becoming a powerful design tool for naval architects, replacing assumptions with real-world operational evidence. By analysing vessel activity, speed profiles, port stays and environmental conditions, designers can more accurately size energy systems, evaluate battery and alternative fuel viability, and optimise vessel concepts for realistic, efficient and sustainable operations.

Navantia is advancing propulsion system design through a highly automated digital engineering approach that accelerates concept evaluation and reduces design fixation. By combining commercial simulation tools, in-house Python automation and parallel computation, the solution rapidly explores and optimises architectures, enabling faster requirements verification, deeper analysis and more informed engineering decisions for future naval vessels.

Digital transformation is reshaping shipbuilding through integrated design and engineering digital threads that connect data, tools and stakeholders across the vessel lifecycle. Challenging the limitations of the traditional design spiral, emerging V-model approaches promise greater agility, collaboration and resilience, enabling shipyards to accelerate innovation and adapt effectively for future demands.

Industry 4.0 is redefining shipbuilding as digital twins and advanced CAD platforms connect design, construction and operations through a unified digital ecosystem. This perspective explores how evolving engineering tools, data-driven workflows and integrated lifecycle management can enhance collaboration, accelerate innovation and strengthen competitiveness, shaping the future of maritime development ahead.

Grillage structural analysis is streamlining ship design by providing a faster alternative to conventional finite element modelling. Developed for classification and shipyard applications, a new specialised analysis tool enables rapid structural assessment, reducing modelling effort and computational time while supporting more efficient design verification and decision-making throughout ship development.

Large language models and multi-agent AI could accelerate early-stage ship design by transforming operational concepts into optimisation and simulation models. Combining AI assistance with model-based systems engineering, this approach automates key development steps, reduces modelling effort and expands design-space exploration, offering naval architects new opportunities for faster, more informed decision-making.

A real-time Ship Operation Optimisation System could transform maritime efficiency by combining vessel performance data, situational awareness and decision-support capabilities into a single operational framework. Integrating technical and operational measures, the approach promises reduced fuel consumption, lower emissions, improved CII compliance and enhanced safety, while expanding operational flexibility in challenging conditions.