NTT DATA and Ericsson Team Up to Scale Private 5G and Physical AI for Enterprises

NTT DATA and Ericsson today announced a multi-year strategic partnership to accelerate enterprise adoption of private 5G and unlock advanced edge AI and physical AI use cases. As organizations look to embed intelligence at the edge across global operations, the partnership will enable AI-driven, outcome-focused transformation.

By combining Ericsson’s Private 5G and Edge platforms with NTT DATA’s full-stack enterprise network services, wireless network expertise, IT/OT security and managed services, the companies will deliver industry-ready solutions that help enterprises deploy private 5G networks and deliver business outcomes at a global scale with confidence.

The partnership will focus on four priority areas:

  • Global Private 5G managed services at scale: NTT DATA will act as one of Ericsson’s key global system integration and managed services providers, delivering Private 5G as a fully managed service with consistent architecture, operations and security worldwide.
  • AI embedded directly into enterprise connectivity: NTT DATA Edge AI agents will run on Ericsson’s enterprise Edge platforms, enabling real-time intelligence and autonomous decision-making where data is generated.
  • Repeatable industry solutions: The companies will be able to deliver proven private 5G, edge AI and physical AI use cases across manufacturing, mining, ports, airports, energy, transportation and smart cities, helping enterprises accelerate deployment and realize measurable ROI.
  • Unified global go-to-market: Joint sales, marketing and delivery will give enterprises a single, consistent path to deployment, reduce vendor complexity and speed time to value.

The partnership will initially focus on high-impact use cases across industries, including the following:

  • Manufacturing: Automated quality inspection, predictive maintenance and real-time safety monitoring using sensor and vision data.
  • Transportation, ports and logistics: Autonomous operations driven by real-time vehicle and asset data for dynamic routing, tracking and safety.
  • Energy and mining: Remote and autonomous operations, intelligent inspection and AI-driven monitoring in complex and hazardous environments.
  • Smart cities: Intelligent traffic management, public safety monitoring and real-time optimization of energy and municipal services.

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