Visionary in Gartner Magic Quadrant for AI Platforms | Siemens

Siemens Digital Industries Software announced its recognition as a Visionary in the latest Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning 2026. This significant acknowledgment underscores Siemens' strategic focus on advancing industrial AI and enabling companies to transition from isolated AI experiments to scalable, real-world applications. The company's comprehensive AI fabric, which combines the robust capabilities of the Rapidminer portfolio with the agile development features of the Mendix low-code platform, is now unified under a new offering called Intelligence Center X. Intelligence Center X is Siemens' recently unveiled industrial AI orchestration software. Its primary goal is to provide a cohesive and governed foundation for operationalizing AI across various industrial sectors. By seamlessly connecting disparate data sources, AI models, and workflows, the platform aims to accelerate the deployment of AI solutions. This integration is designed to enhance collaboration between human experts and AI agents, ensuring that AI initiatives deliver tangible business outcomes with improved transparency and control. Sam Mahalingam, executive vice president, Simulation, HPC and AI, Siemens Digital Industries Software, emphasized that this recognition reflects Siemens' dedication to helping industrial enterprises leverage AI at scale. He highlighted that "Industrial Intelligence" is the future of engineering and manufacturing, where products are conceived and optimized within a digital enterprise that continuously learns and predicts before any physical construction begins. Intelligence Center X is positioned as a key enabler of this vision, transforming complex engineering and manufacturing knowledge into actionable, governed intelligence that drives measurable business impact throughout the product lifecycle. This move signifies Siemens' continued investment in AI development tools and platforms tailored for industrial applications, aiming to bridge the gap between theoretical AI capabilities and practical, large-scale enterprise adoption.