According to a new report published by Allied AI in IoT Market Size, Share, Competitive Landscape and Trend Analysis Report, by Component (Platform, Software, Service), by Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP)), by Industry Vertical (BFSI, IT and Telecom, Retail and E-commerce, Manufacturing, Healthcare, Energy and Utilities, Transportation and Mobility, Others): Global Opportunity Analysis and Industry Forecast, 2022 – 2032, The global AI in IoT market was valued at USD 10.3 billion in 2022 and is projected to reach USD 91.7 billion by 2032, growing at a CAGR of 24.8% from 2023 to 2032.
The AI in IoT market represents the convergence of artificial intelligence technologies with Internet of Things (IoT) ecosystems to enable intelligent, autonomous, and data-driven decision-making. By embedding AI capabilities such as machine learning, computer vision, and natural language processing into IoT devices and platforms, organizations can analyze vast volumes of real-time data at the edge and in the cloud. This integration enhances operational efficiency, predictive capabilities, and system responsiveness across industries.
Rapid digital transformation, increasing sensor deployments, and the need for real-time insights are accelerating the adoption of AI-powered IoT solutions. Enterprises are leveraging AI in IoT to automate processes, reduce downtime, optimize resource utilization, and improve customer experiences. As connectivity improves and computing costs decline, AI in IoT is becoming a core component of next-generation smart systems.
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Market Dynamics
A key driver of the AI in IoT market is the growing demand for real-time data analytics and predictive intelligence. Industries such as manufacturing, healthcare, and transportation rely on AI-enabled IoT systems to monitor assets, predict failures, and optimize operations, leading to significant cost savings and productivity gains.
Another major growth factor is the rising adoption of edge computing. Deploying AI models closer to IoT devices reduces latency, bandwidth usage, and dependency on centralized cloud infrastructure. This is especially critical for applications requiring instant decision-making, such as autonomous vehicles, industrial robotics, and smart surveillance systems.
However, data security and privacy concerns pose challenges to market growth. AI in IoT systems handle sensitive and mission-critical data, making them attractive targets for cyberattacks. Ensuring robust security frameworks, secure device authentication, and compliance with data protection regulations remains a key concern for enterprises.
The market is also influenced by high implementation costs and complexity. Integrating AI algorithms with heterogeneous IoT devices requires skilled expertise, advanced infrastructure, and ongoing model training. Small and medium-sized enterprises may face adoption barriers due to limited budgets and technical capabilities.
On the opportunity side, advancements in AI chips, 5G connectivity, and cloud-edge hybrid architectures are creating new growth avenues. The increasing focus on smart cities, connected healthcare, and Industry 4.0 initiatives is expected to further boost demand for AI-powered IoT solutions in the coming years.
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Segment Overview
The AI in IoT market is segmented by component, technology, industry vertical, and region. By component, it includes platforms, software, and services, while by technology it is divided into machine learning & deep learning and natural language processing (NLP). Based on industry vertical, the market spans BFSI, IT & telecom, retail & e-commerce, manufacturing, healthcare, energy & utilities, transportation & mobility, and others. Regionally, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
On the basis of technology, the ML and deep learning segment dominated the artificial intelligence in IoT market in 2022 and is expected to continue this trend during the forecast period. The growing need for advanced data analytics technology in various industries is one of the primary reasons enterprises are increasing their investments in the ML and deep learning solutions. However, the NLP segments are expected to exhibit the highest growth during the forecast period. The NLP solutions are mostly integrated in voice-controlled interfaces such as chatbots, to communicate with IoT devices and improve the user experience. Hence, the adoption of NLP solutions in AI-powered IoT devices provides numerous benefits including scalability, personalization, and enhanced user experience.
Regional Analysis
Regionally, North America led the market in 2022 due to early adoption of advanced digital technologies and the strong presence of major tech players, while Asia-Pacific is projected to witness the fastest growth, supported by rapid adoption of AI-powered IoT solutions across industries such as manufacturing, healthcare, smart cities, and agriculture.
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Competitive Analysis
The market players operating in the AI in IoT market analysis are Amazon Web Services Inc., Google LLC, Hitachi Ltd., IBM Corporation, Oracle Corporation, PTC Inc., Salesforce, Inc., SAP SE, SAS Institute, Inc., and Softweb Solutions Inc. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the AI in IoT market globally.
Key Findings of the Study
• By component, the platform segment accounted for the largest AI in IoT market share in 2022.
• By technology, the machine learning (ML) and deep learning segment accounted for the largest AI in IoT market share in 2022.
• By industry vertical, the manufacturing sector accounted for the largest AI in IoT market share in 2022.
• Region wise, North America generated the highest revenue in 2022.
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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
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