NTT DATA Named Market Shaper in Gartner's Inaugural Physical AI Services Quadrant

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NTT DATA has been recognized as a Market Shaper in Gartner's first-ever Emerging Market Quadrant for Physical AI Services. The evaluation assessed 27 established vendors in the emerging market, highlighting NTT DATA's work deploying AI across manufacturing, transportation, energy, and smart cities through its Edge AI platform launched in July 2024.

NTT DATA Gains Recognition in Gartner's First Physical AI Services Assessment

NTT DATA has been named a Market Shaper in the inaugural Gartner Emerging Market Quadrant for Physical AI Services - Established Vendors, marking a significant milestone as the research firm begins tracking this nascent market

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. The evaluation assessed 27 providers competing in the Physical AI Services space, positioning NTT DATA among the leaders shaping how organizations deploy AI in physical environments

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Source: DT

Source: DT

The recognition reflects NTT DATA's comprehensive approach to deploying AI in real-world operations across manufacturing, transportation and logistics, energy and utilities, and smart cities. At the core of this capability is the company's fully managed Edge AI platform, introduced in July 2024, which brings computational power closer to machines, sensors and connected assets for real-time response

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Addressing Security and Safety in Physical AI Deployment

"Physical AI is transforming how organizations operate across industries, but success depends on deploying it securely and safely," said Shahid Ahmed, Head of Edge Services at NTT DATA, Inc. The company's portfolio aims to help clients build more intelligent operations that improve productivity, strengthen operational performance and deliver measurable business value .

NTT DATA's comprehensive service portfolio spans edge intelligence that enables real-time decision making, Private 5G connectivity to securely coordinate AI-enabled systems, and simulation capabilities including robotics and digital twins to design and test physical AI deployments. The company also provides lifecycle governance and observability tools to monitor, validate and continuously improve AI models in autonomous operations

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From Innovation Labs to Factory Floors

Pietro Scarpino, Head of Applied Innovation for NTT DATA, emphasized that the company's approach is "grounded in applied innovation." The Global Innovation Center showcases Physical AI Services solutions, while production deployments demonstrate how concepts transition from demonstrations to operational reality. Real-world implementations include Private 5G-connected autonomous vehicles, machines and robots, quadruped robots for industrial inspections, AI-powered anomaly detection, and digital twin-based crack detection for infrastructure monitoring

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The company is also deploying shop-floor task verification systems to improve operational efficiency and quality across manufacturing environments. Most recently, NTT DATA partnered with Hyster-Yale Materials Handling to develop a breakthrough solution embedding AI in manufacturing for enhanced quality assurance and measurable factory floor impact

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Enterprise-Scale Services and Ecosystem Partnerships

NTT DATA's enterprise-scale production and managed services encompass infrastructure, connectivity, design engineering, cybersecurity, IT/OT integration, change management and ongoing operations. This comprehensive approach helps clients scale to production while reducing complexity, risk and cost associated with deploying AI in real-world operations

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The company works with a broad ecosystem of global technology providers and innovative startups to help organizations deploy Physical AI at scale. As Gartner begins formally tracking this emerging market, the focus on established vendors suggests growing enterprise interest in moving beyond pilot projects to production deployments that require proven integration capabilities, security protocols, and operational support across industrial robotics, smart cities infrastructure, and connected manufacturing environments.

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