{"id":27102,"date":"2026-05-13T22:18:10","date_gmt":"2026-05-13T19:18:10","guid":{"rendered":"https:\/\/arab-digital-economy.org\/?p=27102"},"modified":"2026-05-13T22:19:44","modified_gmt":"2026-05-13T19:19:44","slug":"%d8%a5%d9%86%d8%aa%d8%b1%d9%86%d8%aa-%d8%a7%d9%84%d8%a3%d8%b4%d9%8a%d8%a7%d8%a1-%d9%88%d8%a7%d9%84%d8%a2%d9%84%d8%a9-%d9%85%d8%b9-%d8%a7%d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7-2","status":"publish","type":"post","link":"https:\/\/arab-digital-economy.org\/?p=27102&lang=en","title":{"rendered":"Internet of Things and Machine with Artificial Intelligence in 2026"},"content":{"rendered":"<h3><strong>IoT Analytics: The Internet of Things Enters the Era of Agentic and Physical AI<\/strong><\/h3>\n<p>A report by IoT Analytics published in February 2026, titled <em>\u201cState of Enterprise IoT 2026,\u201d<\/em> reveals that the enterprise IoT market grew by 13% in 2025 to reach $324 billion, with projected growth of 14% in 2026 driven by AI technologies and major markets such as India and China. The number of connected IoT devices globally reached 21.1 billion by the end of 2025.<\/p>\n<p>The analysis highlights a notable shift in corporate earnings discussions\u2014from IoT toward industrial AI and autonomous operations\u2014indicating that IoT has become a foundational capability, while the market moves into advanced stages of <strong>agentic and physical AI<\/strong>.<\/p>\n<p>The report identifies three critical transformations:<\/p>\n<ul>\n<li><strong>Device shift:<\/strong> Chipmakers are embedding AI accelerators into microcontrollers<\/li>\n<li><strong>Connectivity shift:<\/strong> Connectivity is fading into the background while expanding via satellite and ubiquitous coverage<\/li>\n<li><strong>Software shift:<\/strong> Software is becoming more assistive, moving toward self-optimizing orchestration<\/li>\n<\/ul>\n<p>Currently, less than 1% of IoT devices feature true edge AI components, but this figure is expected to rise significantly in the coming years.<\/p>\n<hr \/>\n<h3><strong>Industrial Tech Radar: AI Leads While \u201cMaturity Gap\u201d Emerges<\/strong><\/h3>\n<p>Another February 2026 analysis by IoT Analytics, titled <em>\u201cDigital Industrial Technology Radar 2026,\u201d<\/em> identifies 64 industrial digital technologies and classifies them by maturity and market impact.<\/p>\n<ul>\n<li><strong>AI &amp; Machine Learning:<\/strong> 21 technologies<\/li>\n<li><strong>Automation &amp; Robotics:<\/strong> 18 technologies<\/li>\n<li><strong>IoT Devices &amp; Connectivity:<\/strong> 13 technologies<\/li>\n<li><strong>Cloud, Software &amp; Security:<\/strong> 12 technologies<\/li>\n<\/ul>\n<p>The report highlights a \u201c<strong>maturity gap<\/strong>,\u201d where market attention is focused on less mature technologies such as agentic AI, physical AI, and humanoid robotics, while mature technologies like LPWAN, real-time operating systems, and time-of-flight sensors receive less attention despite widespread adoption.<\/p>\n<p>It also notes that connectivity standards such as OPC UA and time-sensitive networking are rapidly maturing due to global standardization efforts.<\/p>\n<hr \/>\n<h3><strong>TRAI Chairman: IoT and M2M Will Form the Neural Network of the 5G Economy<\/strong><\/h3>\n<p>In a keynote speech at the ETTelecom 5G Congress 2026 on March 20, 2026, Anil Kumar Lahoti, Chairman of Telecom Regulatory Authority of India, emphasized that IoT and machine-to-machine (M2M) communication will form the <strong>neural network of the future connected economy<\/strong>.<\/p>\n<p>He outlined several regulatory priorities:<\/p>\n<ul>\n<li>Enabling a comprehensive M2M framework<\/li>\n<li>Promoting <strong>eSIM technologies<\/strong> with profile-switching mechanisms<\/li>\n<li>Introducing critical classifications for essential IoT services<\/li>\n<li>Ensuring coordinated spectrum availability, including millimeter wave and terahertz bands<\/li>\n<\/ul>\n<p>He also stressed the central role of AI in enabling predictive maintenance, automated optimization, and smart traffic management\u2014while emphasizing responsible AI deployment with strong data governance and human oversight.<\/p>\n<hr \/>\n<h3><strong>ABI Research: Edge AI Dominates While RAM Shortage Threatens IoT<\/strong><\/h3>\n<p>A field analysis by ABI Research (April 9, 2026), based on insights from Mobile World Congress Barcelona and embedded world 2026, highlights key trends:<\/p>\n<ul>\n<li>IoT is now \u201c<strong>implicitly assumed<\/strong>\u201d rather than a headline topic<\/li>\n<li>Focus has shifted toward robotics and drones in industrial and environmental use cases<\/li>\n<li><strong>Edge AI<\/strong> emerged as the dominant theme, with minimal emphasis on cloud AI<\/li>\n<\/ul>\n<p>The report warns of a looming crisis:<\/p>\n<ul>\n<li>A <strong>RAM supply shortage<\/strong>\u2014driven by demand from AI data centers\u2014may impact IoT device manufacturers<\/li>\n<li>Some hardware vendors risk exiting the market due to memory constraints<\/li>\n<\/ul>\n<p>Connectivity trends include:<\/p>\n<ul>\n<li><strong>Cat-1bis<\/strong> dominating cellular IoT<\/li>\n<li>Slow rollout of <strong>5G RedCap<\/strong>, though adoption is emerging in North America and China<\/li>\n<li>Strong presence of the <strong>eSIM SGP.32 standard<\/strong>, simplifying subscriber provisioning<\/li>\n<\/ul>\n<hr \/>\n<h3><strong>China\u2019s $3.5 Trillion IoT Plan: From Connectivity to Intelligent Operations<\/strong><\/h3>\n<p>In breaking news on March 31, 2026, nine Chinese government entities\u2014including the Ministry of Industry and Information Technology\u2014announced the <em>IoT Industry Development Action Plan (2026\u20132028)<\/em>.<\/p>\n<p>Key targets:<\/p>\n<ul>\n<li>Tens of billions of IoT connections by 2028<\/li>\n<li>Core IoT industry exceeding <strong>3.5 trillion yuan<\/strong><\/li>\n<\/ul>\n<p>More importantly, the plan signals a paradigm shift:<\/p>\n<ul>\n<li>From <strong>\u201cintelligent connectivity of everything\u201d<\/strong><\/li>\n<li>To <strong>\u201cintelligent operation of everything\u201d<\/strong><\/li>\n<\/ul>\n<p>AI models are positioned as gateways to the physical world, supported by an <strong>edge\u2013cloud\u2013device architecture<\/strong> and technologies like microkernels and virtualization.<\/p>\n<p>The plan also promotes:<\/p>\n<ul>\n<li>Advanced AI agents with sensing, decision-making, and execution capabilities<\/li>\n<li>Lightweight deployment of large AI models at the edge<\/li>\n<\/ul>\n<p>This marks the evolution of devices from passive data collectors into <strong>autonomous intelligent agents<\/strong>.<\/p>\n<hr \/>\n<h3><strong>Monogoto: Embedding Intelligence into Connectivity Infrastructure<\/strong><\/h3>\n<p>On March 2, 2026, Monogoto won the Merit Awards for Telecom &amp; Wireless (AI category) for its innovation in embedding intelligence directly into SIM, signaling, and network layers.<\/p>\n<p>Its platform enables:<\/p>\n<ul>\n<li>Proactive monitoring<\/li>\n<li>Anomaly detection<\/li>\n<li>Autonomous response across cellular, private networks, and satellite connectivity<\/li>\n<\/ul>\n<p>The company emphasizes that modern connected devices\u2014from sensors to autonomous machines\u2014require built-in intelligence, security, and compliance, not just connectivity.<\/p>\n<hr \/>\n<h3><strong>Juniper Research: Emerging Tech Trends Shaping IoT in 2026<\/strong><\/h3>\n<p>A January 2026 report by Juniper Research identifies key emerging technologies:<\/p>\n<ul>\n<li><strong>Post-quantum cryptography<\/strong> (moving toward deployment)<\/li>\n<li><strong>Neuromorphic computing<\/strong> (addressing edge AI constraints)<\/li>\n<li><strong>Physical AI and humanoid robotics<\/strong><\/li>\n<li><strong>Multi-agent systems<\/strong> enabling autonomous operations<\/li>\n<\/ul>\n<p>The report highlights 2026 as a turning point where previously theoretical technologies enter operational planning stages.<\/p>\n<hr \/>\n<h3><strong>CIMG &amp; Quack AI: Toward an Agent Economy and M2M Micropayments<\/strong><\/h3>\n<p>On March 11, 2026, CIMG signed an MoU with Quack AI to explore integrating AI automation with regulated digital asset and decentralized finance infrastructure.<\/p>\n<p>The initiative aims to:<\/p>\n<ul>\n<li>Enable <strong>autonomous economic activity by software agents<\/strong><\/li>\n<li>Support <strong>machine-to-machine micropayments<\/strong><\/li>\n<li>Bridge AI automation with secure financial systems<\/li>\n<\/ul>\n<p>This reflects a growing trend of combining AI with blockchain to enable <strong>machine-driven economies<\/strong>.<\/p>\n<hr \/>\n<h3><strong>Mender: Edge AI Becomes the New Standard in IoT<\/strong><\/h3>\n<p>A February 2026 analysis by Mender highlights 2026 as a turning point where IoT device manufacturers move from pilots to large-scale product portfolio transformation with edge AI capabilities.<\/p>\n<p>Key developments:<\/p>\n<ul>\n<li>Increased demand for <strong>local processing<\/strong> (latency, privacy, efficiency)<\/li>\n<li>Integration of lightweight neural processing units (NPUs) in chips<\/li>\n<li>Edge AI handling real-time responses, while cloud focuses on long-term analytics<\/li>\n<\/ul>\n<p>However, challenges are rising:<\/p>\n<ul>\n<li>Increased security and reliability risks<\/li>\n<li>Need for continuous model management and OTA (over-the-air) updates<\/li>\n<li>Shift toward <strong>subscription-based models<\/strong> driven by AI features<\/li>\n<\/ul>\n<hr \/>\n<h3><strong>Conclusion: IoT Becomes the Backbone of an Autonomous Intelligent World<\/strong><\/h3>\n<p>In 2026, IoT and M2M communications are entering a new phase where connectivity infrastructure itself becomes intelligent and distributed. AI is moving from centralized data centers to the <strong>edge and endpoint devices<\/strong>, enabling real-time autonomy.<\/p>\n<p>From China\u2019s large-scale national initiatives to industry reports confirming market maturity and the rise of autonomous operations, the message is clear:<\/p>\n<p>IoT is no longer just about connecting devices\u2014it is becoming the <strong>backbone of an intelligent world<\/strong>, where machines can independently make decisions and execute complex tasks collaboratively.<\/p>\n<p>At the same time, real challenges remain\u2014particularly around security, component shortages, and the need for unified standards\u2014making this transition both transformative and complex.<\/p>\n<hr \/>\n<p><strong>Sources:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/iot-analytics.com\/state-of-enterprise-iot-from-iot-autonomous-connected-operations\/?utm_source=chatgpt.com\">IoT Analytics \u2013 State of Enterprise IoT 2026<\/a><\/li>\n<li><a href=\"https:\/\/telecom.economictimes.indiatimes.com\/news\/policy\/trai-chairman-highlights-role-of-iot-and-m2m-in-future-economy-at-et5gcongress-2026\/129694324?utm_source=chatgpt.com\">ETTelecom \u2013 TRAI Chairman Speech<\/a><\/li>\n<li><a href=\"https:\/\/www.abiresearch.com\/market-research\/product\/7787264-the-state-of-edge-aiand-takeaways-from-emb?utm_source=chatgpt.com\">ABI Research \u2013 Edge AI Insights<\/a><\/li>\n<li><a href=\"https:\/\/arabic.news.cn\/20260401\/a8e30fda10a9430f81bfd7b33aa63e73\/c.html?utm_source=chatgpt.com\">Xinhua Arabic \u2013 China IoT Plan<\/a><\/li>\n<li><a href=\"https:\/\/www.iotforall.com\/news\/monogoto-named-gold-winner-for-ai-innovation-in-2026-merit-awards-for-telecom-and-wireless?utm_source=chatgpt.com\">IoT For All \u2013 Monogoto Award<\/a><\/li>\n<li><a href=\"https:\/\/www.juniperresearch.com\/marketing\/emergingtechtrends2026\/?utm_source=chatgpt.com\">Juniper Research \u2013 Emerging Tech Trends 2026<\/a><\/li>\n<li><a href=\"https:\/\/mender.io\/blog\/iot-in-2026-edge-ai-growing-complexity-and-the-demand-for-smarter-updates?utm_source=chatgpt.com\">Mender \u2013 IoT in 2026<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>IoT Analytics: The Internet of Things Enters the Era of Agentic and Physical AI A report by IoT Analytics published in February 2026, titled \u201cState of Enterprise IoT 2026,\u201d reveals that the enterprise IoT market grew by 13% in 2025 to reach $324 billion, with projected growth of 14% in 2026 driven by AI technologies [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":27100,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1006],"tags":[],"membersfde":[],"class_list":{"0":"post-27102","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-digital-economy-news"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Internet of Things and Machine with Artificial Intelligence in 2026 - \u0627\u0644\u0627\u062a\u062d\u0627\u062f \u0627\u0644\u0639\u0631\u0628\u064a \u0644\u0644\u0627\u0642\u062a\u0635\u0627\u062f \u0627\u0644\u0631\u0642\u0645\u064a<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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