Mordor Intelligence has published a new report on the AI in IoT market, offering a comprehensive analysis of trends, growth drivers, and future projections 

AI in IoT Market Overview  

According to Mordor Intelligence, the AI in IoT market size was valued at USD 60.71 billion in 2025 and is estimated to increase to USD 74.04 billion in 2026. The market forecast indicates that the market will reach USD 199.46 billion by 2031, growing at a CAGR of 21.95% during 2026–2031. Growth 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. 

The expanding role of edge intelligence is also strengthening the share across sectors such as manufacturing, transportation, utilities, and healthcare. Companies are increasingly using AI-enabled IoT solutions to monitor equipment, detect operational issues, and automate routine processes. These applications support improved productivity while reducing downtime and operational costs. 

AI in IoT Market Growth Drivers 

Edge AI and Real-Time Decision Making 

One of the key market trends is 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. This 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 continues to influence AI in IoT market growth. 

Expansion of 5G and Connected Infrastructure 

The rollout of advanced communication networks is strengthening the industry. Faster connectivity allows connected devices to exchange data efficiently while supporting high-bandwidth applications such as smart transportation systems and remote monitoring platforms. These improvements enable organizations to deploy larger IoT networks while maintaining reliable performance. As a result, connectivity upgrades are becoming an important factor in the AI in IoT market forecast, particularly in sectors that rely on large volumes of device data. 

Predictive Maintenance in Industrial Operations 

Manufacturing companies are increasingly adopting predictive maintenance systems powered by AI-enabled IoT platforms. Sensors placed on equipment collect performance data that AI models analyze to identify patterns linked to potential failures. This approach helps companies avoid unexpected shutdowns and maintain stable production operations. Predictive maintenance programs are therefore strengthening the AI in IoT market share within industrial sectors and are expected to remain a central part of market trends. 

Energy-Efficient Device Management 

Energy optimization is becoming a priority across the global market. AI-enabled monitoring systems help organizations track energy consumption across buildings, factories, and infrastructure networks. By 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 AI in IoT market growth. 

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

AI in IoT Market Segmentation 

By Component 

• Software 

• Application Management 

• Connectivity Management 

• Device Management 

• Data Management 

• Network Bandwidth Management 

• Real-time Streaming Analytics 

• Remote Monitoring 

• Security 

• Edge Solution 

• Services 

• Managed Services 

• Professional Services 

By Deployment Mode 

• On-premises 

• Cloud 

By Technology 

• Machine Learning and Deep Learning 

• Natural Language Processing 

• Computer Vision 

• Context-Aware Computing 

By IoT Connectivity Type 

• Cellular (2G-5G) 

• LPWAN (LoRa, NB-IoT, Sigfox) 

• Satellite / NTN 

• Short-range (Wi-Fi, BLE, Zigbee) 

By End-user Vertical 

• Manufacturing 

• Energy and Utilities 

• Healthcare 

• BFSI 

• IT and Telecom 

• Transportation and Mobility 

• Government 

• Retail and e-Commerce 

• Agriculture 

By Geography 

• North America 

• United States 

• Canada 

• Mexico 

• Europe 

• Germany 

• United Kingdom 

• France 

• Italy 

• Spain 

• Russia 

• Rest of Europe 

• Asia-Pacific 

• China 

• Japan 

• India 

• South Korea 

• ASEAN 

• Australia and New Zealand 

• Rest of Asia-Pacific 

• South America 

• Brazil 

• Argentina 

• Rest of South America 

• Middle East and Africa 

• Middle East 

• Saudi Arabia 

• UAE 

• Turkey 

• Rest of Middle East 

• Africa 

• South Africa 

• Nigeria 

• Rest of Africa 

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Key Players in the AI in IoT Market 

• Amazon Web Services Inc. (Amazon Inc.) 

• IBM Corporation 

• Google LLC (Alphabet Inc.) 

• Microsoft 

• NVIDIA 

Conclusion 

The artificial Intelligence IoT market is entering a period of strong adoption as businesses continue integrating artificial intelligence into connected systems. Organizations across industries are using AI-enabled IoT platforms to automate decision-making, improve operational efficiency, and monitor infrastructure in real time. These capabilities are supporting broader digital transformation initiatives within the global AI in IoT industry. 

Edge computing is expected to remain an important factor influencing trends, as companies look for faster analytics and reduced reliance on centralized cloud processing. At the same time, improvements in connectivity infrastructure and device performance are creating new opportunities for large-scale IoT deployments. Industrial automation, predictive maintenance, and smart resource management are also shaping the long-term AI in IoT market forecast. As businesses continue investing in intelligent devices and connected systems, the demand for integrated AI and IoT solutions will expand across sectors. 

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