The Gartner Magic Quadrant for Endpoint Management Tools evaluates vendors that help organizations centrally manage and secure endpoints while improving operational efficiency. The fact that Raynet is being considered in this environment sends a strong signal to the market and is a special recognition of the technological capabilities of Raynet One. Although Unified Endpoint Management is only one of several strategic use cases for the platform, its inclusion in the Gartner Magic Quadrant demonstrates how robust and scalable Raynet's data-driven platform approach is.
Raynet One consistently focuses on reliable, consolidated IT asset data – as the basis for True IT Asset Visibility, Software Asset Management with Artificial Intelligence, and Unified Endpoint Management. UEM is an important use case, but deliberately not the sole focus. Instead, the platform enables a wide range of IT initiatives based on a central, consistent database and links insights directly to operational implementation – for example, in software deployment or Security Patch Management.
With this in mind, Raynet One closes the crucial gap between traditional Endpoint Management and the next stage of evolution: Autonomous Endpoint Management (AEM). The AI-based platform provides a reliable, consolidated, and normalized view of all IT assets – the foundation for modern AEM, security, patching, and automation. Through close partnerships and integrations with leading technology providers in the areas of Endpoint Security and Management, Raynet One becomes the central data authority that intelligently complements operational tools and raises them to a new level of quality.
Ragip Aydin, founder and CEO of Raynet, emphasizes: "We are delighted to receive this recognition in a market that is historically dominated by traditional Endpoint Management providers. For us, this is a clear sign of the technological strength of our platform. From the outset, our vision was to put data at the center – with a unified platform that captures all technology assets, keeps information continuously up to date, and derives real, actionable insights for IT and security. With Agentic AI, we are going one step further and implementing measures automatically. It is precisely this database that makes our solutions uniquely powerful in Endpoint Management."
The development of Raynet One is based on over 25 years of experience and continuous innovation. A key milestone was the acquisition of Flexera's ManageSoft software deployment technology. ManageSoft was already considered an established solution for the automated management and central deployment of enterprise software to endpoints. The expertise gained from this and many years of know-how, particularly in the areas of reliable endpoint data, automation, and scalability, is incorporated into the development of the modern platform approach.
The comprehensive approach makes it clear: modern Endpoint Management is no longer defined by individual functions, but by high-quality and intelligently usable endpoint data that forms its basis. Raynet is consistently pursuing this data-driven course with Raynet One.
“Many providers are now positioning themselves in the Unified Endpoint Management environment. However, the Gartner Magic Quadrant shows which platforms are strategically relevant and scalable in a global market comparison,” adds Andreas Gieseke, Chief Technology & Product Officer at Raynet. “The inclusion of Raynet confirms the long-term viability of our platform strategy and clearly shows that Endpoint Management without True IT Asset Visibility is no longer appropriate. The future belongs to platforms that understand data as a strategic foundation – and this is exactly where Raynet comes in.”
With its listing in the Gartner Magic Quadrant, Raynet continues to gain momentum. It is already clear that 2026 will bring further innovations with which the company aims to further expand its position as a data-driven key player in the international UEM and IT management market.
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Gartner®, “Magic Quadrant™ for Endpoint Management Tools”, (Tom Cipolla, Lina Al Dana, Sunil Kumar, Robin Milton-Schonemann, Todd Larivee, Craig Fisler), (January 5th, 2026)
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