{"id":54330,"date":"2026-10-06T14:00:00","date_gmt":"2026-10-06T21:00:00","guid":{"rendered":"https:\/\/azure.microsoft.com\/en-us\/blog\/?p=54330"},"modified":"2026-10-06T10:22:24","modified_gmt":"2026-10-06T17:22:24","slug":"microsoft-named-a-leader-in-the-2026-gartner-magic-quadrant-for-global-industrial-aiot-platforms","status":"publish","type":"post","link":"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-named-a-leader-in-the-2026-gartner-magic-quadrant-for-global-industrial-aiot-platforms\/","title":{"rendered":"Microsoft named a Leader in the 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">We\u2019re proud to share that Microsoft has been named a Leader in the 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms. We believe this recognition reflects our vision for the future of industrial operations: moving toward intelligent systems that continuously learn, adapt, and improve business outcomes.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.gartner.com%2Freprints%2F%3Fid%3D00ThR00000KSaBbUAL%26ct%3D261005%26st%3Dsb&amp;data=05%7C02%7Cv-estvirko%40microsoft.com%7Cda0bd83adb404caf4a0508df2333d129%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C639268377774886250%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=VadEtoozF5VpKy6RBq%2BbzdmjR5M41EenXe%2FATZEHNk8%3D&amp;reserved=0\" target=\"_blank\" rel=\"noopener noreferrer\">Read the full 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms report <\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">As industrial organizations modernize, they need a foundation that connects operations across cloud and edge environments. Azure\u2019s adaptive cloud approach, powered by <a href=\"https:\/\/azure.microsoft.com\/en-us\/solutions\/iot\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Azure IoT<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/azure-arc\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Azure Arc<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/local\" target=\"_blank\" rel=\"noopener noreferrer\">Azure Local<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-ie\/microsoft-fabric\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Fabric<\/a>, and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Foundry<\/a>, enables organizations to connect operational assets, contextualize data, apply AI-powered reasoning, and close the loop between insight and action.<\/p>\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6ac573f71b83b&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6ac573f71b83b\" class=\"wp-block-image size-large wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-894x1024.webp\" alt=\"Gartner Magic Quadrant for Global Industrial AIoT Platforms (September 2026) showing Microsoft positioned as a Leader for vision and execution.\" class=\"wp-image-54401 webp-format\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-894x1024.webp 894w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-262x300.webp 262w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-768x880.webp 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-1340x1536.webp 1340w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-1787x2048.webp 1787w\" data-orig-src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/Figure_1_Magic_Quadrant_for_Global_Industrial_AIoT_Platforms_highres-894x1024.webp\"><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-shift-towards-learning-operations\">The shift towards learning operations<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The first wave of industrial digital transformation was driven by IoT, connecting operational assets and making industrial data accessible, at scale. That visibility remains the foundation, but on its own it is not enough. Industrial organizations are contending with skilled labor shortages, supply chain volatility, increasing customization demands, and growing operational complexity. Success now depends on turning operational knowledge into scalable intelligence that improves throughput, quality, resilience, safety, and sustainability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is where Industrial AI and Physical AI create new value. Industrial AI applies intelligence to operational data, identifying patterns, predicting outcomes, diagnosing conditions, and recommending actions. Physical AI extends these capabilities into the real world, enabling autonomous or human-assisted action that learns from results and improves performance over time. Together with IoT, they establish a business learning loop:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">IoT helps organizations understand operations. The people learn.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Industrial AI helps organizations reason over operational data, identifying patterns, predicting outcomes, and recommending actions. The systems learn.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Physical AI helps organizations act, whether through autonomous operation or human-in-the-loop workflows. By measuring outcomes and feeding results back into future decisions, the process learns.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The outcome is more than automation. It is a transition from connected operations to learning operations, where every cycle of understanding, reasoning, action, measurement, and learning improves the next outcome. As the loop compounds over time, productivity increases, resilience improves, expertise scales, and the business itself becomes smarter.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"grounding-the-loop-in-organizational-intelligence\">Grounding the loop in organizational intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A learning loop must be grounded in the operational context unique to each organization. <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/cloud-adoption-framework\/ai-agents\/governance-security-across-organization\" target=\"_blank\" rel=\"noopener noreferrer\">By applying AI through secure, governed platforms<\/a>, organizations can capture and scale the knowledge embedded in their people, processes, assets, and operations, while maintaining control of the expertise and intellectual property that differentiate their business. As that knowledge becomes institutional intelligence, it can be applied across adaptive workflows that continuously improve from real-world outcomes, helping organizations turn operational data into a durable source of competitive advantage.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\n  To accelerate this journey, the recently announced <a href=\"https:\/\/www.microsoft.com\/en-us\/frontier-company\">Microsoft Frontier Company initiative<\/a> brings together industry expertise and enterprise-grade AI engineering to help customers design, deploy, and scale AI systems grounded in their own organizational intelligence, so they can translate operational expertise into measurable business impact more rapidly.\n<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"recognized-as-a-leader-in-industrial-aiot\">Recognized as a leader in industrial AIoT<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gartner defines the global industrial AIoT platforms market as a series of seamlessly integrated technologies that deliver industrial data aggregation and curation, device management of industrial assets, ease of integration with IT systems, and the ability to unlock the value of industrial applications and AI. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\n  We continue to help industrial organizations transform by focusing on the areas our customers prioritize:\n<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"unified-platform-for-industrial-needs\"><strong>Unified platform for industrial needs<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Microsoft\u2019s industrial AIoT platform extends Azure from cloud to edge, providing a consistent foundation for managing and securing industrial environments while connecting data and AI across operations. Key capabilities include <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/iot-hub\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Azure IoT Hub<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/iot-operations\" target=\"_blank\" rel=\"noopener noreferrer\">Azure IoT Operations<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-ie\/microsoft-fabric\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Fabric<\/a>, and <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Foundry<\/a>. Together, these capabilities help organizations make data-driven decisions, boost operational efficiency, and scale AI across varied deployment environments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"comprehensive-management-and-security\"><strong>Comprehensive management and security<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Microsoft offers a unified management and security plane where millions of distributed devices and assets, from factory Programmable Logic Controllers (PLCs) to autonomous vehicles, can be managed as first-class Azure resources. Devices and assets connected through Azure IoT Hub and Azure IoT Operations are onboarded as <a href=\"https:\/\/azure.microsoft.com\/en-us\/get-started\/azure-portal\/resource-manager\" target=\"_blank\" rel=\"noopener noreferrer\">Azure Resource Manager<\/a> resources, enabling deep integration with Azure Device Registry and Azure\u2019s control-plane AI capabilities for governance, insights, and automation. Microsoft is advancing a <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/security\/fundamentals\/zero-trust\" target=\"_blank\" rel=\"noopener noreferrer\">Zero Trust security<\/a> roadmap across the device lifecycle, from trusted identity, certificate management, secure updates, and firmware risk monitoring to policy-driven deployments and integrated SecOps. Encryption, confidential computing, sovereign operations, and auditable patching help customers strengthen resilience and meet evolving regulatory requirements.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"governed-industrial-data-foundation\"><strong>Governed industrial data foundation<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Microsoft provides a unified data plane delivered through <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/iot-hub\" target=\"_blank\" rel=\"noopener noreferrer\">Azure IoT Hub<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/iot-operations\" target=\"_blank\" rel=\"noopener noreferrer\">Azure IoT Operations<\/a>, <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/iot\/device-registry\/overview-device-registry\" target=\"_blank\" rel=\"noopener noreferrer\">Azure Device Registry<\/a>, and <a href=\"https:\/\/www.microsoft.com\/en-ie\/microsoft-fabric\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Fabric<\/a>. The platform ingests OT, IoT, and enterprise data; transforms raw telemetry into structured, semantically aligned signals; supports Unified Namespace and ontology patterns; and makes governed, reusable, AI-ready data available across many different analytics and agent systems. Support for open formats and industry standards enables interoperable digital threads, digital twins, and AI-powered OT\/IT workflows, while low-code and no-code options let subject matter experts drive the creation of data pipelines and analytics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"agentic-industrial-operations\"><strong>Agentic industrial operations<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Microsoft is advancing industrial intelligence through agentic operations. Agentic AI can operate in both cloud and edge environments. In the cloud, agents use ontologies such as <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\/features\/iq\">Fabric IQ<\/a> to understand operational context, monitor conditions, and collaborate with teams through tools like <a href=\"https:\/\/www.microsoft.com\/en-ie\/microsoft-teams\/enterprise\">Microsoft Teams<\/a>. At the edge, agents run within Arc-enabled adaptive cloud environments, using local semantic models to reason over site-specific data and assets, enabling intelligent operations even during periods of intermittent connectivity. For industrial teams, this can support practical decisions: detecting equipment anomalies, recommending maintenance windows, and prioritizing responses to quality issues or production constraints.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"shaping-the-future-of-digital-operations\">Shaping the future of digital operations<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\n  Ultimately, the future isn\u2019t about connecting more things. It\u2019s about creating intelligent systems that can perceive, learn, reason, and act, where every machine, every process, and every action makes the next outcome better than the last.\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By combining connected assets, governed industrial data, AI-powered insights, and intelligent action, <a href=\"https:\/\/blogs.microsoft.com\/blog\/2026\/06\/02\/ai-alone-wont-change-your-business-the-system-running-it-will\/\" target=\"_blank\" rel=\"noopener noreferrer\">organizations can create systems that continuously adapt and improve<\/a> from real-world outcomes. We believe this is the future of digital operations: intelligent systems that learn and deliver lasting business value.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Microsoft\u2019s robust partner ecosystem can help bring local expertise and tailored solutions to every industry, unlocking new opportunities and delivering even greater impact. Whether co-innovating on industry-specific solutions or scaling AI adoption globally, our partners are essential to helping customers build confidently on Azure.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"learn-more\">Learn more<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\n  Discover how Microsoft\u2019s industrial AIoT offerings can enhance your operations:\n<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Explore the <a href=\"https:\/\/azure.microsoft.com\/en-us\/solutions\/iot\/\" target=\"_blank\" rel=\"noopener noreferrer\">Azure IoT portfolio<\/a>, <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Fabric<\/a>, <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-foundry\/\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Foundry<\/a>, and <a href=\"https:\/\/www.microsoft.com\/en-us\/microsoft-365-copilot\/microsoft-copilot-studio\" target=\"_blank\" rel=\"noopener noreferrer\">Copilot Studio<\/a>.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Check out our <a href=\"https:\/\/techcommunity.microsoft.com\/blog\/iotblog\/resource-guide-making-physical-ai-practical-for-real%E2%80%91world-industrial-operations\/4512224\">Partner Resource Guide<\/a>.<\/li>\n<\/ul>\n\n\n\n<div class=\"is-style-inline wp-block-bloginabox-theme-promotional\">\n\t\n<div class=\"promotional promotional--has-media promotional--media-right\">\n\t<div class=\"promotional__wrapper\">\n\t\t<div class=\"promotional__content-wrapper\">\n\t\t\t<div class=\"promotional__content\">\n\t\t\t\t\n\n<h2 class=\"wp-block-heading\" id=\"recognized-as-a-leader\">Recognized as a Leader<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">in 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a aria-label=\"Read the report: Recognized as a Leader\" data-bi-an=\"Global CTA\" data-bi-ct=\"cta link\" data-bi-id=\"cta-block\" class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.gartner.com%2Freprints%2F%3Fid%3D00ThR00000KSaBbUAL%26ct%3D261005%26st%3Dsb&amp;data=05%7C02%7Cv-estvirko%40microsoft.com%7Cda0bd83adb404caf4a0508df2333d129%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C639268377774886250%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=VadEtoozF5VpKy6RBq%2BbzdmjR5M41EenXe%2FATZEHNk8%3D&amp;reserved=0\" target=\"_blank\" rel=\"noopener noreferrer\">Read the report<\/a><\/div>\n<\/div>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"promotional__media-wrapper\">\n\t\t\t\t<div class=\"promotional__media\">\n\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"2560\" height=\"1912\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-scaled.jpg\" class=\"attachment-full size-full\" alt=\"Person wearing a hard hat and safety vest using a tablet inside an industrial facility.\" loading=\"lazy\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-scaled.jpg 2560w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-300x224.jpg 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-1024x765.jpg 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-768x574.jpg 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-1536x1147.jpg 1536w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2026\/10\/CLO25-SCI-Lifestyle-047-2048x1530.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p class=\"has-body-medium-font-size wp-block-paragraph\"><em>Gartner, Magic Quadrant for Global Industrial AIoT Platforms, 15 September 2026, Scot Kim Et Al. <\/em><\/p>\n\n\n\n<p class=\"has-body-medium-font-size wp-block-paragraph\"><em>Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner\u2019s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. <\/em><\/p>\n\n\n\n<p class=\"has-body-medium-font-size wp-block-paragraph\"><em>Gartner and Magic Quadrant are a trademark of Gartner, Inc., and\/or its affiliates. <\/em><\/p>\n\n\n\n<p class=\"has-body-medium-font-size wp-block-paragraph\"><em>This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. <\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re proud to share that Microsoft has been named a Leader in the 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms.<\/p>\n","protected":false},"author":58,"featured_media":54400,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","ms-ems-related-posts":[],"footnotes":"","azure_community_cta_settings":[]},"categories":[1454,1467,1466,1485,1482],"tags":[1790],"audience":[3054,3055],"content-type":[1481],"product":[1468,1829,1489,3320,1534,1618,3164],"tech-community":[],"coauthors":[3296],"class_list":["post-54330","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-machine-learning","category-compute","category-hybrid-multicloud","category-internet-of-things","category-management-and-governance","tag-gartner-magic-quadrant","audience-business-decision-makers","audience-developers","content-type-thought-leadership","product-azure-arc","product-azure-iot","product-azure-iot-hub","product-azure-local","product-azure-resource-manager","product-cloud-services","product-microsoft-foundry","review-flag-1680286581-295","review-flag-and-o-1680286581-349","review-flag-gartn-1680286585-730","review-flag-iot-1680286585-835","review-flag-microsofts","review-flag-new-1680286579-546","review-flag-partn-1680286579-901"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Microsoft named a Leader in the 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms | Microsoft Azure Blog<\/title>\n<meta name=\"description\" content=\"Microsoft was named a Leader in the 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial AIoT Platforms and how AI is building intelligent operations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/microsoft-named-a-leader-in-the-2026-gartner-magic-quadrant-for-global-industrial-aiot-platforms\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft named a Leader in the 2026 Gartner\u00ae Magic Quadrant\u2122 for Global Industrial 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