Thailand’s mobility future will be decided by data, not just vehicles

Thailand’s mobility story is often told through the lens of electric vehicles, new car factories and government incentives. But at HERE Directions Bangkok 2026, the more important question was not simply what people will drive. It was how vehicles, roads, cities and public agencies will share enough intelligence to make movement safer and more efficient.

Hosted by location data company HERE Technologies at Park Hyatt Bangkok, with Amazon Web Services as co-host, the event brought together government representatives, automakers, technology firms and mobility specialists to examine the next phase of Thailand’s transport evolution. The discussion ranged from road safety and electrification to AI-assisted driving and connected urban data systems.

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The timing matters. Thailand is already Southeast Asia’s most important automotive manufacturing base and has set an ambition for zero-emission vehicles to account for 30 per cent of total vehicle production by 2030. At the same time, Bangkok’s congestion, Thailand’s high road fatality rate and the country’s heavy dependence on motorcycles show that the mobility transition cannot be solved by swapping petrol engines for batteries alone.

Road safety is still the hardest problem

One of the clearest themes from the event was that road safety remains Thailand’s most urgent mobility challenge.

Motorcycles account for nearly half of registered vehicles in the country, making two-wheeler safety central to any national transport strategy. For millions of Thais, motorcycles are not recreational vehicles; they are the default option for commuting, food delivery, informal logistics and last-mile transport. That makes the risks harder to manage and the policy response more complex.

Location intelligence has an obvious role here. Accident hotspot alerts, road condition notifications, safer route suggestions and live traffic updates can help drivers and riders make better decisions before danger becomes unavoidable. For fleet operators, the same data can shape driver coaching, route planning and insurance risk models.

“Thailand is entering a new era of mobility where real-time decisions matter more than ever. Electrification, AI-powered driving experiences and rising expectations around road safety are transforming how people and goods move,” said Deon Newman, Senior Vice President and General Manager for Asia Pacific at HERE Technologies. “As vehicles become more connected and software-defined, location intelligence is becoming the critical foundation that helps drivers, businesses and cities make safer, smarter and more informed decisions in real time.”

The point is especially relevant in Southeast Asia, where urban transport systems are highly mixed. Cars, buses, motorcycles, tuk-tuks, delivery riders and pedestrians often share the same road space. In that environment, maps cannot be static digital replicas of roads. They need to capture changing conditions, risk patterns and local driving behaviour.

EV adoption needs more than chargers

Electrification was another major focus, but speakers treated it as part of a wider mobility shift rather than a standalone vehicle trend.

Thailand’s EV market has been expanding, supported by government incentives and investment from global and Chinese automakers. Yet the transition includes more than battery electric cars. Hybrids, plug-in hybrids, hydrogen fuel-cell vehicles, commercial fleets, electric buses and two-wheelers will all be part of the mix.

This creates a new planning burden. Drivers need to know not only where a charging station is, but whether it is available, compatible, reliable and reachable based on battery level, traffic and terrain. Fleet operators need to plan routes around charging windows and delivery schedules. Cities need to understand where infrastructure gaps are emerging.

That is where location data becomes operational rather than merely navigational. A map that can combine road networks, charging locations, energy consumption patterns and live traffic can help reduce range anxiety and improve vehicle utilisation. For logistics companies, even small gains in routing efficiency can translate into lower costs across thousands of trips.

AI turns maps into decision systems

The event also looked at how artificial intelligence is changing the role of in-vehicle navigation. Advanced driver assistance systems, or ADAS, and Navigation on Autopilot are pushing maps beyond turn-by-turn directions.

For these systems to work safely, vehicles need to understand road context: lane structures, speed restrictions, intersections, curves, construction zones and hazards ahead. AI can help interpret this environment, but it still depends on reliable underlying map and location data.

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This is where the industry is moving towards what automakers often call software-defined vehicles. In simple terms, more of the vehicle’s functions are managed and improved through software rather than fixed hardware alone. Navigation, safety alerts, driver assistance and infotainment are increasingly connected.

At HERE Directions Bangkok, neueHCT demonstrated several AI-powered driving technologies, including HCT Astra, an assisted driving platform; HCT Luna, a smart camera system; and HCT Orbis, a rider assistance system for two-wheelers. The inclusion of two-wheeler technology is notable in Thailand and the wider region, where mobility innovation often needs to start with motorcycles rather than premium cars.

Smarter cities need shared data

Beyond vehicles, the event returned repeatedly to the importance of connected data ecosystems. Smart city projects often struggle because information sits in separate systems across government agencies, transport operators, emergency services and private mobility companies.

Dr Passakon Prathombutr, Vice Chairman of iTIC and Special Expert at Thailand’s Digital Economy Promotion Agency, argued that the value of data increases when different layers can be combined. Accident data, GPS traces, road context and infrastructure information can reveal patterns that would be invisible in isolation.

“Building smarter and more sustainable cities requires more than technology. It requires the ability to connect data across agencies, infrastructure and mobility ecosystems,” he said. “When data can move seamlessly between stakeholders, this can add higher value to cities that can gain deeper insights, improve decision-making and deliver more efficient, safer and citizen-centric mobility services.”

For Bangkok, this is not an abstract ambition. The city’s transport challenges are shaped by density, legacy infrastructure, flooding risks, delivery growth and fragmented public transport options. Better data sharing could support traffic management, emergency response, public transport planning and road safety interventions.

A competitive mapping race

HERE Technologies is not alone in chasing this opportunity. Globally, it competes with Google Maps Platform, TomTom and Mapbox across mapping, location services and automotive navigation. In Southeast Asia, Grab has also built mapping capabilities to support ride-hailing, deliveries and logistics, while Waze remains influential in crowdsourced traffic information.

The competitive landscape reflects a broader shift: mapping is no longer just a consumer app category. It is becoming infrastructure for autonomous driving, urban planning, insurance, logistics, advertising, EV charging and public safety. For Thailand, that means the winning solutions will need strong local data, partnerships with public agencies and the ability to work across messy real-world conditions.

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The lesson from HERE Directions Bangkok 2026 is that Thailand’s mobility future will depend less on any single technology than on how well different systems talk to one another. EVs, AI-assisted driving and smart city platforms may capture the headlines, but their impact will be limited if roads, vehicles and institutions continue operating on incomplete information.

In Southeast Asia, where mobility is crowded, informal and fast-changing, the next breakthrough may not look like a futuristic car. It may be a better decision made a few seconds earlier — by a driver, a fleet manager, a traffic controller or a city planner.

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