Ninety percent of the world's goods travel by sea — spanning port operations, freight forwarding, chartering and shipbuilding. Trade has been growing faster than the economy that carries it: world seaborne trade rose 112% between 1996 and 2016, against just 73% growth in global GDP over the same period.
That growth is colliding with a labour problem. BIMCO and the International Chamber of Shipping's Seafarer Workforce Report puts the current workforce at 1.89 million seafarers operating more than 74,000 vessels worldwide — and warns of a shortage of almost 90,000 officers by 2026. Add in the disruption COVID-19 exposed in global supply chains: in a 2017 Waypoint Digital survey of more than 700 ship operators, suppliers and industry stakeholders, 85% ranked digital initiatives their top priority.
The result is what's now widely called Maritime 4.0: the merging of Industry 4.0 principles — automation, connected systems, data-driven decision-making — with shipping. Consultancies estimate AI-driven efficiency gains alone could add USD 15 trillion to the global economy by 2030, alongside greener, safer shipping. The industry is also moving toward autonomous ships that will run with little or no human intervention, depending on the data feeding their decisions.
What Maritime 4.0 actually runs on
Maritime 4.0 is about using real-time data from connected technologies — not manual logs and paper documentation — to make decisions that are affordable, sustainable and safe, turning a vessel into a continuously monitored system built on IoT, AI and cloud computing.
Navigation data streams from satellite-linked systems fleet-wide; onboard sensors track conditions like humidity and door status; meteorological data covers conditions affecting ship and cargo alike. Much of it converges in the Voyage Data Recorder (VDR), a black-box-style system — built from a data collection unit and data recording unit — that continuously logs a vessel's operational and navigational history.
“Big data,” here, means datasets large enough to reveal patterns only visible at scale — drawn not just from the ship itself but from port management systems, weather and sea-condition monitors, and GPS. IoT sensors and trackers scattered across a vessel and its surrounding infrastructure collect all of it: performance, environmental conditions, cargo status, security. But raw data isn't useful alone; it becomes an actionable insight only after moving through three stages: acquisition, contextualisation and action. Of the three, acquisition is the one that can't be automated around. Contextualisation can lean on automation, and action on AI and predictive analytics, but if the underlying data was never captured accurately, completely or on time, nothing downstream can fix that.
The IoT layer underneath it all
The Internet of Things — connected physical objects embedded with sensors and software — is the infrastructure all of this depends on, and the scale is significant: the International Data Corporation once estimated 41.6 billion connected IoT devices worldwide by 2025, generating 79.4 zettabytes of data. Seagate, which took 36 years to ship its first zettabyte of storage, notes a single zettabyte could hold roughly 30 billion 4K movies.
Not every IoT device is worth deploying, though. The ones worth adopting need to be cheap enough to develop and install to make financial sense, simple enough to run without extensive retraining, secure enough — or built on established protocols — to keep cyber risk low, and energy-efficient enough to support “green shipping.” Judged against that checklist, two long-established, low-power technologies stand out for being conspicuously under-used: Near Field Communication (NFC) and Bluetooth Low Energy (BLE).
Near Field Communication (NFC)
NFC is already a fixture of everyday life — payment cards, transit passes, smart locks — and its global market, valued at roughly USD 31 billion in 2024, is projected to nearly double to over USD 61 billion by 2030. It operates over radio at 13.56 MHz, with a working range of no more than about two centimetres and data rates between 46 kbit/s and 1.7 Mbit/s. The technology has been standardised since 2004, when the NFC Forum was established by Sony, NXP Semiconductors and Nokia, and it now shows up embedded in smartwatches, apparel tags, wireless earbuds, jewellery and storage containers, alongside the more familiar tap-to-pay and tap-to-unlock use cases.
NFC has spread well beyond retail and transport — into healthcare, education, agriculture, hospitality, events and dining. In healthcare specifically, it's been used in patient health-record systems to help prevent diagnostic errors, with wearable sensors — heart monitors, temperature and blood-pressure sensors — collecting real-time biosignal data and transmitting it between homes and hospitals.
At the device level, an NFC tag is a contactless memory card holding a small, specially formatted data payload known as an NDEF record. A compatible reader picks up that message and triggers whatever action is stored in it. Crucially, NFC tags are passive: they draw their power from the reading device itself, through magnetic induction, rather than carrying a battery of their own — a large part of why they're so cheap and durable to deploy at scale.
Bluetooth Low Energy (BLE)
BLE's growth trajectory is even steeper: the global beacon market is projected to reach USD 69.2 billion by 2030, growing at a compound annual rate of nearly 37% from 2022 onward, with healthcare, automotive, retail, banking and real estate as the leading sectors. The technology traces back to Wibree, a low-power wireless standard Nokia developed in the early 2000s, which was folded into Bluetooth 4.0 in December 2009; the Bluetooth Special Interest Group now governs the standard. BLE runs in the 2.4 GHz ISM band, transmits over roughly 70 to 80 metres, and sips so little power that a single coin battery can keep a beacon running for months — sometimes two to five years.
A Bluetooth beacon is a small, battery-powered transmitter broadcasting in one direction, with no internet connection required — which also means no internet-borne cyber threat to worry about. Applications span asset tracking, indoor navigation, workplace safety, equipment maintenance, supply-chain and workforce management, quality control and energy management. Beacons can double as sensors too, monitoring temperature, acceleration, humidity, toxic gas, light or sound, and can be reconfigured remotely rather than physically serviced. That sensing capability matters most in cold-chain logistics, where BLE sensors track temperature changes and unexpected events — a refrigerated truck door opening, for instance — helping prevent spoilage and enabling a fast response before product is lost.
Smart shipping, smart cargo
Sinay built a platform — Sinay Hub — to put VDR data to use, pulling in data providers, open-source data, its own field data and private client data, then running it through AI to generate performance indicators covering air and water quality, aerial noise, underwater acoustics, metocean conditions, ETA and port congestion, and CO2 emissions.
Cold-chain cargo has its own dedicated technology in reefer containers — the “super refrigerators” that hold temperatures from -60°C to 30°C using a cooling unit built around a compressor, condenser, evaporator and refrigerant. Smart reefers go further than temperature control: their IoT sensors track temperature, humidity, motion and power consumption, sending alerts the moment conditions deviate from set parameters, enabling corrective action before goods are damaged. CNC Group, the world's second-largest refrigerated container carrier, runs a reefer fleet of 385,000 TEU and 288,000 reefer plugs, tracking location, temperature, humidity and oxygen/carbon dioxide levels on its smart containers, and has launched CLIMACTIVE, a controlled-atmosphere system that extends the shelf life of perishable cargo in transit.
Container tracking is shifting the same way: manual tracking has long produced outdated information and made arrival predictions difficult — a gap real-time data can close. Smart-container use has grown from 3.6% in 2021 to a projected 25% by 2026, as beneficial cargo owners chase better fleet visibility and efficiency; Boston Consulting Group research suggests avoiding empty-container repositioning could cut six million tonnes of carbon emissions a year and save roughly USD 20 billion currently wasted on fuel. Aeler's Unit One is one example: a smart container with sensors for temperature, humidity, luminosity, impact and door events, running on BLE 5, NFC and global LTE, supporting decisions when ETA or conditions shift unexpectedly — and delivering 20% lower carbon emissions than a standard container. SkyCell, a Swiss competitor focused on pharmaceutical shipping, has raised USD 116 million to build a patented insulation system holding steady between -80°C and 25°C, paired with a software platform that applies big-data analytics to optimise routing.
At the smaller end sits the Teltonika Eye Sensor, made by Navixy: an 18-gram standalone BLE sensor with an 80-metre range and up to five years of battery life, attached to a container, pallet or barrel to track temperature, humidity and GPS location, all viewable through a companion app — Eye App — from a phone, laptop or PC.
Robotics and autonomous underwater vehicles
Maritime robotics — an offshoot of industrial robotics dating back to 1961's Unimate — has developed in shipping mainly for safety: deep-sea and subsea work beyond human reach, and tracking illegal shipping activity and monitoring routes for security.
Hull cleaning is a job it's well suited to replace: essential to a vessel's longevity, but dangerous, difficult and tedious to do by hand. Hull BUG, developed by the US Office of Naval Research, is tether-free and battery-powered, using a captive vortex created by an impeller to hold itself against the hull by suction, while onboard sensors help it avoid obstacles and detect fouling by sensing chlorophyll fluorescence.
Maritime Robotics' Mariner X takes on a different job: a long-endurance uncrewed surface vessel built for offshore and coastal operations, capable of carrying a 1,200 kg payload, withstanding harsh sea conditions, and housing its core hardware and communications systems in protected, temperature-controlled compartments — allowing it to stay at sea for up to 25 days without refuelling.
Seafloor mapping supports work on plate tectonics, marine conservation and hazard assessment. Traditional approaches rely on sonar systems for high-resolution maps, but HUGIN — a type of autonomous underwater vehicle — pairs sonar with echo-sounder mapping sensors to build 3D images of the seafloor, with its payload software controlling and relaying real-time data to remote users via satellite. And for onboard emergencies, the US Navy developed SAFFIR, a bipedal firefighting robot powered by custom linear series-elastic actuators built around titanium springs, using an advanced sensor suite to navigate through smoke, heat and water vapour to locate and extinguish fires.
Applications of NFC and BLE in maritime
It's still unclear why NFC and BLE haven't found wider adoption in shipping — their limited range compared with satellite and GPS is one likely factor, the real-time data volume fleet monitoring demands another — but a handful of companies have built genuinely smart, low-cost solutions around both anyway.
Smart positioning
Safety remains one of the industry's biggest concerns, for both human and financial cost. The European Maritime Safety Agency recorded 26,595 marine incidents between 2014 and 2023, resulting in 650 deaths across 444 incidents — with crew members accounting for nearly 90% of the victims. LifeFinder responds directly to that problem: a portable IoT device combining sensors, wireless gateways and positioning capability, designed to integrate into a seafarer's daily routine through workwear, equipment and wearables. As an intelligent alert system, it locates an injured person via satellite positioning and relays that location to the first responder, cutting typical response time from around 30 minutes to 10.
For man-overboard situations specifically, the wearable version detects the fall itself, triggers an alert automatically, and transmits real-time GPS coordinates to responders or a rescue team — giving rescuers a precise starting point rather than a general direction, and improving the odds of a successful rescue.
Smart safety equipment
Twiceme takes a related but distinct approach, embedding an NFC tag inside safety equipment like helmets and vests. In an accident, a first responder can scan the tag with an ordinary smartphone and instantly pull up medical conditions, emergency contacts and allergies — an approach known in the industry as HTH, “help the helper.”
In a maritime setting, seafarers use the Twiceme app to store that same health and medical information, alongside work-related records like certificates and safety-equipment documentation. During an emergency, a responder taps the injured person's equipment to access it immediately; day to day, seafarers can also use the app to check their own equipment's condition, reducing accident risk.
Smart yacht
Superyachts still depend heavily on manual processes and crew judgement — a gap AI is starting to close, from bridge administration and fuel-efficient routing to image recognition that flags other vessels, obstacles or a person overboard, and housekeeping guidance below decks.
IDEA Solutions builds toward the same goal from the IoT side: an all-in-one yacht and asset-management platform using NFC tags placed at various points around the vessel to transmit data to a central reader. Crew attendance is logged with a tap, and inventory is tracked automatically, with reorder alerts triggered as stock runs low.
Smart mooring
Mooring lines — the ropes, cables and chains that secure a vessel to a dock or another ship — need to stay in good working condition, both to prevent accidents and to keep maintenance costs under control. More Marine, a mooring-line manufacturer serving the yacht sector, embeds NFC tags directly inside the rope itself, sealed beneath a carbon-epoxy layer that keeps the rope's appearance unchanged. A crew member can scan the line with a smartphone to pull up its age, diameter and breaking strength — turning what used to be a visual, judgement-based inspection into a quick, data-backed one.
Smart accessory
Carnival Corporation's Ocean Medallion is the clearest large-scale demonstration of what NFC and BLE can do together. It's a 51-gram wearable — worn as a wristband or pendant — combining standard NFC and BLE technology to connect each guest's identity to the ship's onboard IoT ecosystem: a network of 6,000 sensors, 650 readers, 500 edge-computing devices and more than 4,000 interactive portals. Through that connection, the Medallion supports contactless boarding, keyless stateroom entry, contactless payment, dining reservations, onboard navigation and guest-location tracking, adding up to a noticeably more personalised guest experience.
The engineering behind it is worth noting on its own. The Medallion pairs a J-shaped BLE antenna with an outer-core coil NFC antenna, aligned inside a split-ring aluminium casing — a design Carnival's engineers reportedly spent months refining, specifically so the device could keep its polished metallic look without degrading RF performance. Of every case study here, Carnival is the one operator treating NFC and BLE as core infrastructure rather than a minor add-on — making it as much a proof of concept for the industry as a passenger convenience feature.
Why adoption still lags
Across these case studies, sensors, cloud storage and GPS are the real enablers, with AI accelerating what they make possible. But most industry effort still targets “data action” — using data once it exists — when the more decisive factor is the “data acquisition” that precedes it: data has to be accurate, timely and sufficient before any downstream analysis means anything. Right now, acquisition happens automatically via IoT sensors or manually by hand — and neither works without secure wireless protocols and reliable connectivity, driving continued cybersecurity investment.
Device diversity compounds the problem: many of these technologies are already installed somewhere in the fleet, but failing to unify the data they generate drives up both cost and cyber exposure. NFC and BLE stand out because they sidestep most of it — both run on proximity and low power, need no satellite or cloud connectivity, and are cheap and simple enough that implementation and training stay minimal.
That makes their limited uptake in maritime more puzzling: the small number of real-world case studies here is itself a signal of how little traction either technology has gained, unlike their established maturity elsewhere — NFC in healthcare and finance, BLE in office tech and wireless headsets. Two explanations seem most plausible: a lack of IT expertise among maritime operators, limiting their ability to design a network drawing on the full range of available IoT hardware, and the sheer complexity of maritime big data itself, for which only a narrow subset of devices are well suited. Carnival remains the clear exception, not the rule.
Where this could go next
The robotics covered here — Hull BUG, Mariner X, HUGIN, SAFFIR — are all purpose-built for a single job: hull maintenance, offshore endurance, seafloor mapping, firefighting. None of them are being used to collect or relay the kind of routine operational data NFC and BLE devices generate — a genuine gap, not a solved problem.
A simpler robot — something closer to a Roomba than a naval research project — could plausibly close it. Deployed onboard, a mobile robot could move between NFC tags or BLE beacons fixed around a vessel, collect the data they hold, and relay it to the cloud or satellite — taking a repetitive administrative task off a crew member's plate. Done at scale, that workflow could reduce the impact of both the looming labour shortage and the cyber exposure of manual, ad hoc data handling. No case study here demonstrates it yet, and no dedicated research explains why either technology has lagged in maritime — both open questions for further work.
The bottom line
The maritime industry remains central to the global economy, and globalisation keeps pushing it further into digitalisation. Labour shortages, real-time data needs, cyber threats, climate change and energy efficiency together make uncrewed vessels look inevitable — a shift depending on AI and machine learning being built into how ships make decisions, reducing error and financial loss.
None of that works without a sophisticated IoT ecosystem capable of collecting data at volume, predicting outcomes accurately, and enabling timely action — which makes the choice of IoT devices, and how data is acquired, foundational rather than a technical afterthought. Data is only ever as valuable as the insight it can be turned into, and that depends on quality. The maritime industry's focus needs to extend beyond big-data analytics and cybersecurity alone, toward exploring a wider range of affordable, appropriate and reliable IoT technologies — chosen for their ability to collect large volumes of data, at speed, from diverse sources, with minimal exposure to cyber-attack, in service of profitability, scalability and environmental sustainability.
