EVs, AI & Infrastructure: Insights from MOVE 2025

MOVE 2025 was a busy event with over 5000 attendees, and 550+ speakers. We’re delighted to have been among them, talking about the opportunities for data science in driving electrification and more personalised experiences throughout the customer lifecycle.

The event brought together an extraordinary range of voices across mobility, infrastructure and technology with themes of climate, equity, data ethics and cross-sector collaboration featuring across panels and conversations.

A few key themes stood out, with two over-arching messages. 1. We’re at a pivotal moment. 2. Intelligent use of data underpins future success.

Key themes:

· Electrification is now a race

· Data is fast-becoming the most valuable mobility asset

· The potential of the Software defined Vehicle (SDV) is still emerging

· Sustainability is now a core design principle

· AI is reshaping how we plan, operate and govern mobility ecosystems

Electrification is now a race

While an important one, vehicle adoption is just one aspect of electrification. Because there’s little point in, or even limitations to driving adoption without supporting infrastructure and supply chains being able to keep pace. It’s a theme we explored ourselves across a number of our presented use cases for data in mobility and electrification, such as assessing market-readiness, balancing product line or media investment mix, price and offer optimisation, identifying those most likely to adopt, and understanding residual values are all important elements in this complex race.

Beyond infrastructure and supply chain, from individual vehicle owners, or more likely leasers, to commercial fleet managers, decision-making influences range across many factors that may either accelerate or impede the switch to EVs. Making sense of these factors is key to unlocking the direction of the race:

· Pricing, affordability and ownership/leasing costs

· Ownership experiences or ‘holding out’ for further or alternative technology advancements

· Competitor activity, government incentives, or even threats of future taxation, all impact both manufacturers and owners/lessees.

Data is fast-becoming the most valuable mobility asset

Beyond the race for infrastructure and adoption, the connected data available both from EVs themselves and wider macro sources holds real value for OEMs and Mobility providers. Data-driven decisions are accelerating operational and sustainability outcomes, as well as EV ownership experience. Whether that’s predictive maintenance, such as intelligent issue detection, to behavioural modelling that can predict individual and market behaviours or provide the basis for ‘timely interventions’. Harnessing the proliferation of complex data and turning it into meaningful action can drive real commercial and competitive advantage.

The potential of the Software Defined Vehicle (SDV) is still emerging

However, OEMs and mobility providers are still understanding how to fully distil and leverage the growing number of data points. Particularly when it comes to in-car experiences. We’re already seeing personalisation at scale, with ‘super-charged’ driver profiles, mood-aware environments and tailored infotainment, and ‘over-the-air’ updates that deliver continuous improvement, such as driver assistance, seasonal modes and security or performance updates. These will undoubtedly continue to evolve in their sophistication. And over time, we’ll see more use of data to deliver better experiences, such as:

· Predictive UX where the car suggests actions based on behaviour

· Ways to reduce driver distractions and improve safety & wellness

· Smart car and home synchronisations and increased in-car commerce and services, from premium content to commercial offers and partnerships

· Hyper-personalisation of interfaces and increased gamification

Sustainability is now a core design principle

Not only is sustainability shaping investment, product and policy decisions, what happens upstream in the design phase impacts the entire lifecycle of the vehicle. Quantifying the genuine impact, both during and after its lifespan of each component as well as how they work together is a critical aspect of ensuring the design stands up from a sustainability perspective, especially in the face of increased legislation and regulation, as well as meeting consumer expectation. But that must be coupled with commercial modelling of efficiency savings, as well as potential future prices and residual values to ensure design decisions are optimised to meet both sustainability and commercial objectives.

AI is reshaping how we plan, operate and govern mobility ecosystems

AI is increasingly prevalent in all aspects of mobility design, manufacturing, supply, marketing, purchase, operational management and ownership. Whether that’s in modelling outcomes, managing systems, both in vehicles and transport systems, or delivering service and ensuring safety and sustainability. And the pace of AI development is famously exponential. AI must be used as a powerful tool, but also with sustainability, accountability and responsibility in mind. Human intelligence and contextual insight remain critical.

As we meet the challenge of the switch to electrification, and more broadly, sustainable practices, those who can turn complex data into responsible, scalable action will emerge the winners in this next generation of mobility.

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