How is Smart Technology Transforming the Maritime Sector?
Just get your civies ready for another run ashore
A sailor ain’t a sailor, ain’t a sailor any more
- The Last Shanty (A Sailor Ain’t A Sailor), by Tom Lewis (1987)
Global shipping is undergoing a major digital transformation, shifting from traditional and time-consuming processes to data-driven systems with real-time capabilities. Known as Shipping 4.0, the digitalisation and automation of the maritime sector accelerated after the COVID-19 pandemic exposed weaknesses in global maritime operations and supply chains. This is particularly significant given that around 80% of global trade by volume occurs during this period of increasing geopolitical uncertainty of conflicts, piracy, and sanctions. The industry is also under increasing pressure to reduce its environmental impact, with shipping responsible for approximately 3% of global greenhouse gas emissions. As a result, Shipping 4.0 aims to improve efficiency, resilience, and sustainability through advanced technologies and smarter infrastructure.
However, this transformation is also reshaping employment and skill requirements across the sector, as traditional manual roles increasingly rely on digital and technical expertise. This article will examine how technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and alternative fuels are transforming the global maritime industry both onshore and at sea.
The Modern Maritime Sector
The ocean economy, encompassing all economic activities “directly or indirectly” related to the ocean (Shi & Xue, 2025), provides formal direct employment to an estimated 133 million people globally (OECD, 2025) and contributes 2.5% of global GDP through trade and development (Gourvenec et al., 2025). Yet, while around 80% of the volume of global trade is carried by sea (UNCTAD, 2021), highlighting its role as the “backbone” of the global economy (Guerrero & Rodrigue, 2014; Kosowska-Stamirowska, 2020), the sector is also responsible for approximately 3% of global greenhouse gas emissions (Altarriba et al., 2025; Lugovskyy et al., 2025). Furthermore, despite being an unprecedented global crisis, the COVID-19 pandemic exposed structural weaknesses in the maritime sector’s resilience, disrupting transport networks (Dirzka & Acciaro, 2022; Nguyen et al., 2025), port operations (Ayaz et al., 2022; Kurt, 2023), and “just-in-time” supply chain systems (Mahmud et al., 2025).
While digitalisation has accelerated across the maritime sector since the pandemic (Pavlinović et al., 2023), modern environmental and geopolitical pressures are equally significant in reshaping its operational and logistical effectiveness (Sun et al., 2026; Vögele et al., 2025). Climate change impacts at sea, including rising global temperatures and more frequent extreme and unpredictable weather patterns (Bolan et al., 2024; Venegas et al., 2023), driven by increasing greenhouse gas emissions, are compelling maritime companies to adopt alternative, cleaner fuels, energy-efficient vessels, and more sustainable operational practices (Garg et al., 2025; Vakili et al., 2025). As these multifaceted challenges grow in scale and intensity, such adaptations are crucial for safeguarding the long-term resilience and competitiveness of the maritime sector.
Geopolitical instability in the Black Sea, driven by the ongoing war in Ukraine, has exacerbated supply chain vulnerabilities and disrupted the flow of vital grain and energy exports from the region (Chepeliev et al., 2025), triggering global price surges for both commodities. Russian naval blockades and attacks on Ukraine’s maritime infrastructure have restricted access to the country’s ports and inflicted significant damage on its economy (Martin et al., 2025).
The combined impact of environmental and geopolitical pressures, including extreme climate events, conflict, and sanctions, has prompted maritime companies to invest in and adopt new technologies and processes to support long-term sustainability and resilience (Ashraf et al., 2026; Kivalov, 2024). Although these investments increase short-term operational costs due to implementation and integration (OECD, 2025a; Zeng et al., 2025), they are intended to improve long-term efficiency by reducing future disruptions and securing safe and stable supply routes, thereby maintaining competitiveness and continuity. Shipping 4.0 leverages digital innovation to advance decarbonisation and resource conservation (Xia et al., 2025), while also reducing environmental impacts by improving vessel performance and operational efficiency (Durlik et al., 2024; Kandasamy et al., 2025).
Shipping 4.0, also known as Maritime 4.0, first proposed in 2016 (SINTEF, 2016; Lambrou & Ota, 2017, cited in Nganga et al., 2024), marks the digital transformation of the maritime sector and represents its entry into the fourth industrial revolution (I4.0), the integration of new and advanced technologies in manufacturing and industrial processes (Calvache et al., 2025; Khan et al., 2025). Shipping 4.0 is connected to I4.0 through the integration of its core principles into the maritime sector: interconnection, interoperability, real-time capabilities, and decentralised decision-making (Sullivan et al., 2021). By integrating advanced technologies, such as IoT (Internet of Things), Artificial Intelligence (AI), and automation (Aiello et al., 2020), as well as the adoption of alternative fuels, the maritime sector is redefining how it manages and operates its global assets (ships, infrastructure, and personnel) to create a resilient and technologically advanced network.
Shipping 4.0: The Digital Future of Maritime
The maritime sector’s traditional reliance on manual processes poses significant challenges for digitalisation initiatives aimed at alleviating time-consuming and repetitive tasks (Theotokas et al., 2024). Shipping 4.0, therefore, is an extensive modernisation process (Sepehri et al., 2022), which, for maritime personnel, is “likely to have an impact on individuals’ employment, training and skills” (Baum-Talmor & Kitada, 2022). While this digital transformation has the potential to develop collaborative or integrated platforms that reduce time spent on repetitive administrative and manual tasks, often paper-based documentation, the data‑driven operations will also reshape workforce demands, shifting requirements from traditional hands‑on to digitally skilled roles (Cicek et al., 2019). This, however, may threaten employment security and career progression (Kitada & Baum-Talmor, 2019).
Shipping 4.0 is defined by Sullivan et al. (2021) as the “integrated integration of digital technologies, to support the performance of tasks across sectors within the maritime industry”, resulting in the development of an interconnected maritime ecosystem of smart ports and ships. By incorporating advanced digital technologies into the maritime industry, Shipping 4.0 has the potential to revolutionise and enhance the performance and sustainability of processes and operations (Mollaoglu et al., 2026). Innovations such as remote‑controlled and autonomous ships, smart port logistics, and predictive maintenance are capable of transforming significant aspects of vessels, including design and construction and their logistical capabilities using blockchain tracking and automated cargo management. Yet, maritime digitalisation raises concerns regarding employment displacement in a traditionally labour-intensive sector, both onshore and at sea, in addition to the growing demand for high-tech skills related to data analysis, system maintenance, and remote operations (Shahbakhsh et al., 2022).
Automation and digitalisation aim to reduce waste, downtime, and emissions by leveraging real-time data processing and tracking to enable continuous oversight of performance, safety, and environmental conditions, thereby potentially reducing the historical risks and outages associated with maritime operations. Through a combination of AI, IoT, and blockchain technologies (Khabir et al., 2025) and supported by regulation and enforcement, the creation of an interconnected and coordinated green maritime sector can reduce the environmental footprint of the maritime sector, which has had a net-zero emissions by 2050 target since the IMO’s revised strategy in 2023 (Sheikh et al., 2025). These advanced technologies also enable “digital twins”, virtual replicas of vessels and infrastructure, that provide real-time 3D models to improve decision-making and support evidence-based planning for a more interconnected and environmentally sustainable maritime sector. By leveraging digital tools to create intelligent ecosystems of monitoring and data networks, everyday shore-based and sea-based tasks are decarbonised and optimised as much as possible to ensure safe and healthy working conditions, directly addressing the Four Pillars of Maritime global standards established by the IMO: training, marine environment, working conditions, and vessel safety.
By 2030, the IMO aims for at least 5% of fuel used by shipping to come from zero-emission or near-zero-emission sources (IMO, 2023, cited in Wang & Iris, 2025). The ideal target is 10%, but by September 2025, the Global Maritime Forum reported “stagnated” demand for scalable zero-emissions fuels (SZEF) (Baresic et al., 2025), meaning shipping is not on track to meet its 2030 fuel target. These SZEFs, including hydrogen, ammonia, and e-methanol, have the potential to substantially reduce maritime emissions as low or zero-carbon fuel and could be manufactured in sufficient quantities to replace the 300 million tonnes of oil used in shipping each year (Global Maritime Forum, 2025)
The Challenges of Implementing Shipping 4.0
As global trade recovers post-COVID-19 pandemic, disruptions in sea transport have contributed to shortages of shipping containers for the movement of goods (Boldizsár, 2025). Logistical and supply chain disruptions and a reduced maritime workforce exposed the sector’s weaknesses during the pandemic, with global maritime trade volume falling by 3.8% during 2020 (UNCTAD, 2021). In the European Union alone — the world’s biggest trading bloc, with approximately 75% of its external trade transported by sea (European Economic and Social Committee, 2024) — the decline reached 9.3% during that year, with imports from outside the bloc hit hardest.
More than 50,000 cargo-carrying ships operate in the world’s oceans each day (International Chamber of Shipping, 2024, cited in Yu et al., 2025), intensifying the environmental crisis through air and noise pollution. Global shipping emits more greenhouse gases than aviation, and without effective intervention, this could, by 2050, rise to 10%–13% (Yao & Hu, 2025). Residual fuel derived from crude oil, commonly known as bunker fuel, accounts for about 90% of the energy consumed in global shipping, and its simple refining process makes it relatively inexpensive compared with cleaner fuels, used by only about 1% of vessels (Schnurr & Walker, 2019). Shipping decarbonisation is part of the wider global energy transition, but the adoption of zero-emission fuels such as hydrogen, ammonia, and e-methanol remains costly and commercially unproven (Osman et al., 2024; Tomos et al., 2024). Although the legally binding International Maritime Organization Net-Zero Framework, adopted in April 2025, provides a strong basis for mandatory global fuel standards, hurdles remain around cost disparities across vessel sizes, as well as regional cooperation and organisational implementation, especially given the delayed compliance deadline until 2028.
The logistical, operational, and environmental benefits of Shipping 4.0 are clear, but significant challenges continue in achieving improved marine operations, sustainability, and net-zero goals. These barriers are primarily economic and systemic, including high transition costs, training requirements, and the need for global implementation and standardisation across vessels, supply chains, and infrastructure. The uptake of Shipping 4.0 technologies, therefore, remains uneven. Operational costs and cybersecurity measures, however, remain key concerns. Upgrading legacy IT systems to big data technologies supporting real-time operations also requires bridging a skills gap (Raza et al., 2023; Zhao et al., 2024). In this context, the former president of the Nautical Institute, Jillian Carson-Jackson, argues that rapid technological change means training can no longer focus on specific equipment and must, instead, adopt a holistic approach that develops transferable skills and leverages real-time learning tools to support adaptation (Carson-Jackson, 2022). Yet, an overreliance on digitisation risks overshadowing investment in human capital — defined by the Cambridge Dictionary as “employees, and all of the knowledge, skills, experience, etc. that they have” — which remains essential for operating and maintaining advanced systems (Balci et al., 2026; Baum-Talmor & Kitada, 2022).
By its bulk and value, maritime big data is highly vulnerable to compromise and attack by cybercriminals. The development of autonomous shipping encompasses varying degrees of remote control, with ships known as Maritime Autonomous Surface Ships (MASS) (Xu & Soares, 2026), the most advanced of which are fully independent of human control (Malmquist & Munim, 2025). Autonomous vessels are ships equipped with IoT sensors that collect real-time onboard performance data and environmental conditions, including weather patterns (Barone et al., 2025; Thombre et al., 2022). While AI and wireless/cloud technologies can perform route optimisation and collision avoidance, the use of digital technologies by Shore Control Centres (SCC) to control autonomous vessels, known as cyber-enabled ships (C-ES), can expose navigational systems and on-board operational technology to hacking risks, with potentially catastrophic consequences across maritime infrastructure.
The interconnected software is also susceptible to interference or ransomware, with weakly protected or dated systems targeted or critical operations paralysed, risking the safety and security of shore and sea personnel. While these types of cyber attacks over a 10 year-period identified by Meland et al. (2021) were “low frequency and high impact”, this makes them “hard to predict and prepare for”. Similar findings by Mohsendokht et al. (2024) show that historical incident patterns and probabilistic modelling can help estimate maritime cyber risk, but not eliminate uncertainty.
Conclusion
Smart technology is actively reshaping the maritime industry’s structural and operational foundations. From ports to shipping, the global ocean economy is undergoing a fundamental reconfiguration driven by the integration of smart technologies. Through the application of IoT, artificial intelligence, alternative fuels, and advanced data analytics, Shipping 4.0 is enabling greater operational efficiency, predictive maintenance, and real-time decision-making. These developments contribute to transparency and resilience across maritime supply chains, particularly amid geopolitical uncertainty and increasing climate-related disruptions.
The adoption of alternative fuels and sustainable technologies reflects a growing alignment between industry practices and international environmental objectives. As regulatory frameworks become more stringent, digital innovation is regarded as central to achieving decarbonisation targets and reducing the sector’s environmental footprint, which is destroying ecosystems and polluting the water and air.
However, the opportunities associated with this transition are accompanied by significant impediments. The demand for specialised digital competencies, as well as concerns about automation, cybersecurity, and workforce displacement, presents ongoing pressures for both shipping organisations and maritime professionals. Disparities in technological adoption and skills development may further exacerbate structural inequalities within the sector.
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Visual Sources
Cover image: Tuke, H.S. (1888). All Hands to The Pumps. [painting]. Wikipedia. https://en.wikipedia.org/wiki/All_Hands_to_the_Pumps#/media/File:Henry_Scott_Tuke_-_All_Hands_to_the_Pumps_-_Google_Art_Project.jpg
Figure 1: Rødseth, Ø. J., Lee, K., & Merenluoto, J. (2020). Shipping 4.0. [graphic]. https://www.researchgate.net/publication/339746640_WATERBORNE_Improving_European_transport_with_Maritime_Intelligent_Transport_Systems_-Identification_of_important_technology_gaps
Figure 2: Schwemmer, R. (2011). Ever Given Container Ship. [photograph]. Wikimedia Commons. https://commons.wikimedia.org/wiki/File:Ever_Given_container_ship.jpg
Figure 3: Venturini, R. (2007). Ship Maneuvering out of Port S.Louis du Rhone, near Marseille. [photograph]. Wikimedia Commons. https://commons.wikimedia.org/wiki/File:Ship_Maneuvering_out_of_Port_S.Louis_du_Rhone,_near_Marseille.jpg
Figure 4: King, J. (2024). Worker Standing Near Containers. [photograph]. Pexels. https://www.pexels.com/photo/worker-standing-near-containers-19926726/
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