Offshore Racing 2025: When AI Surpasses F1 and Reinvents Sailing

A SailGP F50 catamaran generates over 35,000 data points per second — more than a Formula 1 car. Right. And now, the part that makes you smile: four engineers are enough to manage the entire global fleet. Four. Where F1 deploys around twenty per single-seater.

This ratio — frankly absurd — sums up the revolution shaking offshore racing in 2025. The world's oldest sport (the one of wind, currents, and intuition) has become, without many people noticing, the most advanced maritime laboratory on the planet.

SailGP and America's Cup: AC75s and F50s become "extreme IoT devices"

Warren Jones, CTO of SailGP, doesn't mince words: "These boats on the water? I call them 'extreme IoT devices.' We collect a huge amount of information from the boat and then turn it into metrics that we can understand and use to make better decisions."

The numbers are staggering. Each F50 carries 125 sensors; across the fleet, 240,000 data points per second flow to Oracle Cloud Infrastructure. End-to-end latency? 150 milliseconds. The time of a blink — and the tactical decision is already made. Or at least suggested.

On the America's Cup side, the escalation is even more spectacular. American Magic's AC75 carries approximately 300 sensors measuring 4,000 distinct variables. The data team grew from 2 to 6 analysts, a sign that the volume of information now exceeds raw human processing capacity.

At Orient Express Racing Team, Bruno Dubois (co-director) recounts: "As soon as we arrived on April 6th, the hydraulics, electrical, and mechatronics departments took over the boat. This precision work took nearly seven weeks." Over 200 sensors installed across 46,000 construction hours, by 65 builders. A shipyard, or an aerospace project? The question is a serious one.

And then there's the constraint that changes everything: AC75s are banned from physical testing — no towing tanks, no wind tunnels. The result: the race is played out entirely in digital twins. Steve Collie, aerodynamic coordinator for Emirates Team New Zealand, confirms: "We keep running simulations right up to the final days of racing in October to extract every fraction of performance." When you can't touch the water, you push the limits of computation.

Predictive AI that detects the invisible: nearly 400 million readings per race

Here's the number that hits you: nearly 400 million hydraulic readings analyzed by Oracle's AI at each SailGP race. The system detects on average one fault every two days of sailing.

The result? A drastic reduction in mechanical failures during racing — the system notably helped detect and fix a problem on one of the boats just in time to resume racing.

Warren Jones describes the daily operation with disarming pragmatism: "We wake up in the morning, and it tells us what our technical team needs to replace. It's very efficient."

Scott Babbage, Head Data Analyst at SailGP, adds: "Scale is the advantage here. We have a small team of engineers looking after a lot of boats. When you think about Formula 1, they probably have 20 engineers working on each car. We have a team of four engineers looking after all of our boats."

For the 2025 season, SailGP takes an additional step forward with AI-driven anti-crash systems and onboard smart cameras. The goal? Not only to prevent mechanical failures, but to anticipate collisions between boats flying at over 50 knots just meters apart from each other.

At the scale of the maritime industry, these technologies are beginning to produce measurable results — we'll come back to that below.

Adaptive foils, CFD, and digital twins: simulation becomes reality

The shift from 6 foiling IMOCAs at the 2016-2017 Vendée Globe to 19 in 2020-2021 illustrates an irreversible tipping point. In four years, the foil went from being a technological advantage to a competitive prerequisite. But this democratization hides a far more complex digital arms race.

IMOCA rules strictly limit foils to a second degree of freedom (rotation) of maximum 5 degrees and prohibit any automatic servo control during racing. In other words: the sailor remains master of their flight. But all the intelligence lies in upstream design — in the thousands of hours of CFD (Computational Fluid Dynamics) that determine the optimal profile before the carbon is even molded.

The case of Gitana 18 — the Ultim trimaran from the Edmond de Rothschild team, designed by Guillaume Verdier — pushes the envelope even further: 500 onboard sensors (double that of the Gitana 17), custom-developed autopilots that "anticipate the boat's movements and react like a real helmsman," for ocean flights reaching up to 55 knots. At that speed (over 100 km/h on water), the slightest piloting error comes at a steep price. The autopilot doesn't replace the skipper; it gives them the extra few tenths of a second of reaction time that separate a world record from a shipwreck.

Anderson Reggio, former Head of Testing for American Magic, lays out the diagnosis: "The amount of data you have on an AC75 is enormous and no single person can process it in a single night and produce accurate insights." The digital twin is no longer a luxury. It's a structural necessity. This relentless quest for optimization is also found on the IMOCA circuits — and if you want to closely follow the adventure of these machines and directly support a skipper, Maître Coq V by Yannick Bestaven offers several sponsorship packages on Spencer. You can even sail on this boat through a sponsorship on Spencer.

WindSight IQ, LiveLine, and augmented spectacle: when AI transforms the fan experience

How do you help a newcomer understand why a boat tacks to starboard rather than port?

By showing them the wind. Literally.

The WindSight IQ system, developed by Capgemini for the America's Cup, relies on 3 LUMIBIRD LiDARs positioned on Barcelona's waterfront. Range: 12 kilometers. Accuracy: less than 0.1 m/s. Refresh rate: every second. For the first time, the wind — that invisible element that decides everything — becomes visible on screen.

Grant Dalton, CEO of the America's Cup Event, sums up the stakes: "Four elements determine the winner of the race: the boat design, the team, the water, and the wind. Before and during the race, commentators will now be able to see real-time wind patterns and explain to viewers the options available to the competing yachts."

On the SailGP side, the LiveLine system processes 53 billion data points per race day to produce graphic overlays with 2-centimeter precision, broadcast across 212 territories. The key figure that validates the strategy? 84% of fans say these technologies improve their viewing experience. And more importantly: 77% of Gen Z prefers watching sport away from live venues — from a screen, enriched with data.

Sailing, a sport for insiders? Not for much longer.

From Harken sensors to Cariboni systems: the high-precision hardware ecosystem

Behind the algorithms, there's metal. Silicon. Miniaturized steel.

Harken pressure sensors illustrate the level of precision required: 414 bar maximum pressure (the equivalent of 6,000 psi), weighing only 90 grams. Output as a 4-20 mA industrial signal, compatible with any data acquisition system. These are the micro-components, invisible to the naked eye, that enable the hundreds of millions of readings per race.

The software ecosystem is structuring itself in parallel. Platforms like Kwindoo, SAP Sailing Analytics, Oracle Racing Analytics, and Sailmon are emerging to democratize access to performance data. What was reserved for America's Cup teams five years ago is beginning to trickle down to amateur and semi-professional offshore racing.

Industrial transfers: from the Vendée Globe to CMA CGM cargo ships

100% of the 2024 Vendée Globe fleet was equipped with Watt&Sea hydrogenerators. A technology born from offshore racing in 2008, now standard in sixteen years. The pattern repeats, always the same: competition invents, recreational sailing adopts, industry deploys.

AdrenaShip has been optimizing CMA CGM routes since 2014 through detailed analysis of currents and weather. Intelligent weather routing — honed on transatlantic races — now saves significant amounts of fuel for commercial fleets. The maritime AI market has nearly tripled in a year, growing from $1.47 billion in 2023 to $4.13 billion in 2024, with projected growth of 40.6% per year through 2030.

Predictive maintenance (the same technology that detects hydraulic anomalies on F50s) can reduce unexpected breakdowns by nearly 70% and cut fuel consumption by 8 to 15% according to studies. When a shipowner calculates the return on investment, the answer comes in under two years. The environmental argument and the economic argument converge — which, in shipping, doesn't happen often.

Vision 2030: smart foils, generative AI, and partial autonomy

Where will we be in five years?

Current trends paint a fairly readable horizon. Digital twins and adaptive foils will become the norm across all ocean racing classes, not just on exceptional prototypes. Generative AI — the kind that writes text and produces images today — will tomorrow design hulls, appendages, and rigs. As in the automotive industry, where optimal shapes already emerge from algorithmic processes that the human eye would never have imagined.

The convergence between offshore racing and commercial maritime will accelerate further. What equips an AC75 today will be found on a container ship in three to five years. Performance gains are measured in percentages; environmental gains, in millions of tons of CO₂. To follow this evolution in real time — and discover the dates of the next great technological showdowns — head to the Spencer calendar.

The paradox is striking. Sailing — this millennia-old sport where you harness the wind with lines and canvas — has become the absolute cutting edge of artificial intelligence applied to transport. Four engineers, 150 milliseconds of latency, nearly 400 million readings per race. And always, at the end of the chain, a crew that must read the water, feel the gust, commit the boat at the right moment.

AI doesn't replace the sailor. It gives them eyes where they were blind.

SailGP and America's Cup: AC75s and F50s become "extreme IoT devices"

Predictive AI that detects the invisible: nearly 400 million readings per race

Adaptive foils, CFD, and digital twins: simulation becomes reality

WindSight IQ, LiveLine, and augmented spectacle: when AI transforms the fan experience

From Harken sensors to Cariboni systems: the high-precision hardware ecosystem

Industrial transfers: from the Vendée Globe to CMA CGM cargo ships

Vision 2030: smart foils, generative AI, and partial autonomy

Sources

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