Worldwide Trends Review: The Rapid Development of the Artificial Intelligence (AI) in IoT Market

The fusion of artificial intelligence (AI) with the Internet of Things (IoT) is creating remarkable growth opportunities and transforming how devices communicate and operate intelligently. This emerging market is advancing rapidly, driven by technological innovations and expanding applications across various industries. Let's explore the current market outlook, key players, influential trends, and segmentation details in the AI in IoT space.

Anticipated Market Size and Growth Trajectory for AI in IoT
The AI in IoT market is projected to experience outstanding growth in the coming years, reaching a valuation of $63.64 billion by 2030. This growth represents a compound annual growth rate (CAGR) of 26.9%. Factors contributing to this rapid expansion include the integration of AI with edge computing, the development of smart cities and infrastructure, expanding industrial IoT networks, the increasing demand for predictive maintenance solutions, and the advancement of autonomous transportation and robotics. Key trends influencing this growth involve edge AI integration, predictive maintenance, real-time data analytics, AI-driven automation, and enhancements in smart sensor technology.

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Leading Organizations Shaping the AI in IoT Market
Several prominent companies are at the forefront of advancing the AI in IoT industry. These include Amazon Inc., Google LLC, Microsoft Corporation, Hitachi Ltd., General Electric (GE), Intel Corporation, accenture* PLC, International Business Machines Corporation, Cisco Systems Inc., Qualcomm Technologies Inc., Oracle Corporation, Honeywell International Inc., SAP SE, Fujitsu Limited, NVIDIA Corporation, Texas Instruments Incorporated, STMicroelectronics, Infineon Technologies AG, Renesas Electronics Corporation, ARM Holdings, PTC Inc., Softweb Solutions Inc., SpaceTime Insight Inc., and CloudMinds Inc.

Strategic Acquisition Enhancing Edge AI Capabilities
In June 2025, Nordic Semiconductor ASA, a Norway-based leader in ultra-low-power wireless connectivity, expanded its AI portfolio by acquiring the intellectual property and core technologies of Neuton.AI, Inc. This acquisition is expected to bolster Nordic Semiconductor's edge AI and machine learning capabilities by integrating Neuton.AI's TinyML platform with its nRF54 Series ultra-low-power wireless system-on-chips (SoCs). This synergy will enable always-on AI devices and strengthen Nordic Semiconductor's position in the AIoT market. Neuton.AI, based in the U.S., specializes in automated TinyML model generation and embedded AI solutions tailored for resource-constrained edge devices.

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Innovative Trends Steering the AI in IoT Industry Forward
Key players in the AI in IoT market are concentrating on developing advanced technologies such as edge AI and sensor-integrated IoT platforms. These innovations aim to improve operational efficiency, reduce costs, and enhance security across connected devices. Edge AI IoT platforms combine smart sensors, on-device or near-device machine learning models, and IoT connectivity to deliver real-time analytics, anomaly detection, and automated decision-making without relying entirely on cloud infrastructure. For example, in December 2023, STMicroelectronics from Switzerland launched the ST Edge AI Suite, an integrated ecosystem combining hardware, software tools, and developer libraries designed to embed AI functionalities into smart sensors, microcontrollers, and IoT devices. This suite supports low-power edge inference, streamlined toolchains, and seamless integration with IoT platforms to optimize security and operational workflows in industries like automotive, consumer electronics, and building automation.

Detailed Market Segmentation of AI in IoT
The AI in IoT market is segmented into several key categories:
1) Components: Software, Platforms, and Services
2) Technology Types: Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition
3) End-User Verticals: Energy and Utilities, Manufacturing, Retail, Transportation and Mobility, and Banking, Financial Services, and Insurance (BFSI)

Further breakdown includes:
- Software: AI Analytics Software, Edge AI Software, and Security Software
- Platforms: IoT Platforms with AI Capabilities, Cloud-Based AI Platforms, and Device Management Platforms
- Services: Consulting, Integration, and Support and Maintenance Services

This segmentation provides a comprehensive view of how the AI in IoT market is structured and highlights the diverse applications and technologies propelling its rapid evolution.

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This release was published on openPR.