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The artificial intelligence (AI) in IoT market size is forecast to increase by USD 27.08 billion at a CAGR of 30.59% between 2023 and 2028. The Internet of Things (IoT) market is experiencing significant growth due to the analysis of vast amounts of data generated by connected devices. Artificial Intelligence (AI) plays a crucial role in processing and deriving meaningful insights from this data. Supervised learning, unsupervised learning, and reinforcement learning are key AI techniques used to analyze IoT data. In a smart home scenario, historical usage patterns are analyzed using supervised learning to optimize energy consumption. Anomaly detection algorithms, powered by unsupervised learning, identify unusual behavior and alert users or systems accordingly. Total Phase, an embedded design company, provides tools for USB and eSPI interfaces to enable seamless data transfer between devices for AI processing.
Furthermore, embedded engineers leverage these tools to develop intelligent IoT systems. However, the rise in data volume and privacy concerns necessitate advancements in AI algorithms and security measures. The market growth is driven by the need to analyze IoT data faster and the increasing adoption of industrial automation. Privacy and security issues pose challenges, requiring continuous innovation to ensure data protection.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by End-user
7 Market Segmentation by Component
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
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