{"id":10943,"date":"2026-03-15T07:44:30","date_gmt":"2026-03-15T07:44:30","guid":{"rendered":"https:\/\/ksanewsroom.com\/ai-in-iot-market-set-to-hit-usd-199-46-billion-by-2031-driven-by-edge-intelligence-5g-and-predictive-maintenance\/"},"modified":"2026-03-15T07:44:30","modified_gmt":"2026-03-15T07:44:30","slug":"ai-in-iot-market-set-to-hit-usd-199-46-billion-by-2031-driven-by-edge-intelligence-5g-and-predictive-maintenance","status":"publish","type":"post","link":"https:\/\/ksanewsroom.com\/en\/ai-in-iot-market-set-to-hit-usd-199-46-billion-by-2031-driven-by-edge-intelligence-5g-and-predictive-maintenance\/","title":{"rendered":"AI in IoT Market Set to Hit USD 199.46 Billion by 2031 Driven by Edge Intelligence, 5G, and Predictive Maintenance"},"content":{"rendered":"


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Mordor Intelligence has published a new report on the\u00a0<\/span>AI in IoT market<\/span><\/b>, offering a comprehensive analysis of trends, growth drivers, and future projections<\/span>\u00a0<\/span><\/p>\n

AI in IoT Market Overview\u00a0<\/span><\/b>\u00a0<\/span><\/h2>\n

According to\u00a0<\/span>Mordor Intelligence<\/span>, the\u00a0<\/span>AI in IoT market size<\/span><\/a>\u00a0was valued at USD 60.71 billion in 2025 and is estimated to increase to USD 74.04 billion in 2026. The market forecast\u00a0indicates\u00a0that\u00a0the market will reach USD 199.46 billion by 2031, growing at a CAGR of 21.95% during 2026\u20132031.\u00a0Growth in the industry reflects how businesses are embedding artificial intelligence directly into devices, sensors, and connected systems. This approach allows machines to analyze data and make decisions closer to where the data is generated. As a result, organizations reduce network congestion and improve response time for real-time applications.<\/span>\u00a0<\/span><\/p>\n

The expanding role of edge intelligence is also strengthening the\u00a0share\u00a0across sectors such as manufacturing, transportation, utilities, and healthcare. Companies are increasingly using AI-enabled IoT solutions to\u00a0monitor\u00a0equipment, detect operational issues, and automate routine processes. These applications support improved productivity while reducing downtime and operational costs.<\/span>\u00a0<\/span><\/p>\n

AI in IoT Market\u00a0Growth Drivers<\/span><\/b>\u00a0<\/span><\/h2>\n

Edge AI and Real-Time Decision Making<\/span><\/b>\u00a0<\/span><\/p>\n

One of the key\u00a0market trends\u00a0is the growing use of artificial intelligence at the edge of networks. Instead of sending all sensor data to centralized cloud systems, organizations are deploying AI models directly within devices or gateways.\u00a0This approach supports faster decision-making because devices can analyze data locally. In industrial environments, this capability helps machines detect faults, adjust operations, and respond to anomalies without delays. As companies focus on operational efficiency and automation, edge-based analytics\u00a0continues\u00a0to influence\u00a0AI in IoT market growth.<\/span>\u00a0<\/span><\/p>\n

Expansion of 5G and Connected Infrastructure<\/span><\/b>\u00a0<\/span><\/p>\n

The rollout of advanced communication networks is strengthening the\u00a0industry. Faster connectivity allows connected devices to exchange data efficiently while supporting high-bandwidth applications such as smart transportation systems and remote monitoring platforms.\u00a0These improvements enable organizations to deploy larger IoT networks while\u00a0maintaining\u00a0reliable performance. As a result, connectivity upgrades are becoming\u00a0an important factor\u00a0in the\u00a0AI in\u00a0IoT\u00a0market forecast, particularly in sectors that rely on large volumes of device data.<\/span>\u00a0<\/span><\/p>\n

Predictive Maintenance in Industrial Operations<\/span><\/b>\u00a0<\/span><\/p>\n

Manufacturing companies are increasingly adopting predictive maintenance systems powered by AI-enabled IoT platforms. Sensors placed on equipment\u00a0collect\u00a0performance data that AI models analyze to\u00a0identify\u00a0patterns linked to potential failures.\u00a0This approach helps companies avoid unexpected shutdowns and\u00a0maintain\u00a0stable production operations. Predictive maintenance programs are therefore strengthening the\u00a0AI in IoT market share\u00a0within industrial sectors and are expected to remain a central part of\u00a0market trends.<\/span>\u00a0<\/span><\/p>\n

Energy-Efficient Device Management<\/span><\/b>\u00a0<\/span><\/p>\n

Energy optimization is becoming a priority across the global\u00a0<\/span>market<\/span><\/b>. AI-enabled monitoring systems help organizations track energy consumption across buildings, factories, and infrastructure networks.\u00a0By analyzing operational patterns, these systems can automatically adjust lighting, temperature, and machinery usage. This capability supports sustainability goals while reducing operational expenses, contributing to steady\u00a0<\/span>AI in IoT market growth<\/span><\/b>.<\/span>\u00a0<\/span><\/p>\n

Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights:<\/span><\/b>\u00a0<\/span>https:\/\/www.mordorintelligence.com\/ja\/industry-reports\/ai-in-iot-market?utm_source=emailwire<\/span><\/a>\u00a0<\/span><\/p>\n

AI in IoT Market Segmentation<\/span><\/b>\u00a0<\/span><\/h2>\n

By Component<\/span><\/b>\u00a0<\/span><\/p>\n