Artificial Intelligence of Things Market Size, Share And Trends Report, 2030

The demand for real-time data-driven decision-making and predictive analytics is increasing, supported by advancements in machine learning, edge computing, and 5G connectivity. Government policies and investments in R&D are further boosting the adoption of AIoT technologies. For instance, in August 2024, SEALSQ Corp unveiled its entry into the AI chip market, highlighting its AIoT strategy, which integrates the capabilities of AI with the vast opportunities of IoT technologies. This strategic move places SEALSQ Corp at the forefront of innovation, where the fusion of AI and IoT is poised to propel digital transformation and revolutionize industries.

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Deployment Insights

The cloud segment accounted for the largest market revenue share in 2024 due to its scalability, flexibility, and cost-efficiency, enabling businesses to scale AIoT deployments while avoiding high infrastructure costs effortlessly. Cloud platforms support large-scale AIoT networks, offer pay-as-you-go models, and provide advanced AI and IoT integration for real-time data analysis and insights.

Component Insights

The hardware segment led the market and accounted for over 61% of the global revenue in 2024. The widespread deployment of IoT devices, such as smart sensors and industrial machines, across diverse applications drives them. Advancements in AI-optimized chips and edge computing devices have increased demand for hardware capable of real-time data processing, especially in areas like autonomous vehicles and industrial automation.

End Use Insights

The B2B segment led the AIoT market in 2024, driven by strong industrial and enterprise demand for solutions that enhance operational efficiency, automation, and predictive maintenance. Businesses undergoing digital transformation leverage AIoT to streamline processes, improve decision-making, and optimize supply chains.

Vertical Insights

The manufacturing segment accounted for the largest market revenue share in 2024, driven by integrating AIoT technologies that enhance operational efficiency and cost reduction. AIoT facilitates predictive maintenance, enabling manufacturers to monitor equipment health and minimize unplanned downtimes, thus extending machine lifespans. In addition, AIoT optimizes production processes through real-time data analysis, improving energy efficiency and quality control.

Regional Insights

North America represented a significant market share of over 41% in 2024, driven by its strong technological infrastructure, including advanced IT systems and high-performance computing resources. The region hosts leading technology giants such as Google LLC and Microsoft alongside a vibrant start-up ecosystem that fuels innovation in AI and IoT. Significant investments in research and development, associated with collaborations with academic institutions, enhance the advancement of cutting-edge AIoT solutions. The robust healthcare sector is rapidly adopting AIoT technologies, supported by government initiatives promoting telehealth and digital health solutions.

Key Artificial Intelligence of Things (AIoT) Company Insights:

Some key companies in the SWIR market include Google LLC, IBM Corporation, Salesforce, Inc., Microsoft, and Oracle.

• Microsoft is a major player in the AIoT industry, leveraging its robust cloud infrastructure, Azure. Its Azure IoT platform provides tools for connecting, monitoring, and managing IoT devices, while Azure AI enhances these capabilities by enabling the development of intelligent applications. This integration allows businesses to collect, analyze, and act on data from IoT devices, automating processes and driving actionable insights. Microsoft also focuses on edge computing to bring AI capabilities closer to IoT devices, reducing latency and improving performance in real-time scenarios. Its AIoT solutions are widely adopted across industries like manufacturing, healthcare, and smart cities, emphasizing scalability, security, and interoperability.

• Oracle is a key player in the AIoT industry, leveraging its Oracle Cloud Infrastructure (OCI) to provide powerful AI and IoT solutions. OCI offers high-performance computing, data management, and analytics tools that are essential for deploying AI models in IoT environments. Oracle’s AI-powered IoT applications help businesses optimize operations by connecting devices, analyzing data, and automating processes. Oracle’s AIoT solutions are widely used in manufacturing, logistics, and energy industries, focusing on predictive maintenance, supply chain optimization, and operational efficiency.

Key Artificial Intelligence of Things (AIoT) Companies: