Here CEO: AI and SDV Prompt “Tough Battle” For Dominance

Why It Matters

Accurate location data determines who controls the next generation of mobility services, influencing revenue streams and regulatory compliance across the automotive ecosystem.

Key Takeaways

• AI and SDVs intensify competition for vehicle software ecosystems
• Location data underpins autonomous navigation and logistics optimisation
• Here aims to monetize maps through OEM partnerships
• Fragmented data standards risk slowing industry adoption
• Real‑time, high‑precision mapping becomes strategic asset

Pulse Analysis

The convergence of artificial intelligence and software‑defined vehicles is reshaping the automotive landscape, turning traditional hardware manufacturers into data‑driven service providers. At the heart of this shift lies location data, which fuels everything from turn‑by‑turn navigation to the perception stacks that enable autonomous driving. Companies that can supply centimeter‑level accuracy in real time are positioned to become indispensable partners for original equipment manufacturers (OEMs) and mobility‑as‑a‑service platforms. Here Technologies, with its extensive global mapping repository, is capitalising on this demand by offering APIs that integrate directly into vehicle operating systems, allowing automakers to outsource the heavy lifting of map updates and localisation.

However, the rapid rise of AI‑powered SDVs also introduces a "tough battle" for data dominance. Multiple tech giants, telecom operators, and niche mapping firms are racing to lock in exclusive licensing agreements, creating a fragmented ecosystem of standards and formats. This splintering threatens to increase integration costs for OEMs and could slow the rollout of fully autonomous fleets. Nefkens warns that without industry‑wide collaboration on data schemas and quality benchmarks, the promise of seamless, AI‑driven mobility may remain out of reach for many markets.

For investors and business leaders, the takeaway is clear: control over high‑quality geospatial data will be a decisive competitive advantage. Firms that combine robust mapping assets with AI analytics can unlock new revenue models, such as usage‑based insurance, dynamic routing for logistics, and location‑aware advertising. As regulatory scrutiny intensifies around data privacy and safety, transparent data governance will also become a critical factor in securing partnerships and consumer trust. In this evolving environment, companies like Here that prioritize data accuracy, scalability, and open collaboration are likely to shape the future of mobility and capture a larger share of the emerging AI‑defined vehicle market.