The MotoGP Group, operating through commercial rights holder Dorna Sports, has commissioned technology consultancy Accenture to rebuild its global direct-to-fan streaming platform. Officially announced on September 10, 2026, the partnership aims to overhaul how international motorcycle racing is delivered to audiences worldwide. Through the new over-the-top environment, the racing series intends to deepen its direct relationship with fans while expanding traditional coverage with real-time data features. The initiative underscores an ongoing shift among premier sports organizations toward investing in proprietary digital ecosystems.
The operational scope and rollout timeline for the project are firmly established. The revamped platform is scheduled to launch ahead of the 2027 racing season and will cover more than just the premier MotoGP championship. Dorna Sports plans to consolidate all of its major racing categories under the umbrella, including Moto2, Moto3, and the Superbike World Championship, also known as WorldSBK. By uniting these distinct tiers within a single platform, the organization aims to centralize user access and streamline content delivery across all competition levels.
From an architectural standpoint, the project relies on the Accenture Media Suite, which was showcased during the IBC industry trade exhibition. Amazon Web Services, commonly known as AWS, serves as the underlying cloud infrastructure, providing the computational capacity and global scalability required for the deployment. This framework is specifically engineered to handle immense data throughput with ultra-low latency. Such performance is critical for processing live feeds from circuits across the globe and serving synchronized video streams to millions of connected devices.
The core technological innovation centers on the combined application of analytical and generative artificial intelligence directly applied to telemetry feeds. The platform captures granular operational data transmitted straight from the racing motorcycles during sessions. Key data points include machine lean angles and rapid acceleration metrics, measurements historically restricted to paddock engineering stations. Artificial intelligence models render these telemetry figures straight into dynamic multi-camera video streams, generating visual overlays synchronized with on-track action.
For viewers, this automated data processing enables an interactive viewing experience across practice sessions, qualifying rounds, and races. Subscribers will be able to select customized camera perspectives, tailoring their visual feed according to personal preference. Concurrently, the platform generates AI-aggregated race metrics in real time, shedding light on braking zones, overtaking opportunities, and corner exit speeds. This transformation shifts the broadcast model away from a single passive transmission toward an adaptive telemetry dashboard.
The collaboration between Dorna Sports and Accenture highlights a broader movement across professional sports to commercialize complex telemetry through advanced software. By translating raw machine parameters into accessible visual insights, rights holders seek to elevate fan engagement throughout the sporting calendar. For the MotoGP Group, the planned 2027 rollout represents a deliberate strategy to leverage artificial intelligence and cloud delivery to maximize the commercial value of its direct-to-fan distribution channels.