AIoT Market Trends, Analysis & Forecast, 2032

As per a recent research report, AIoT Market surpass USD 110 Bn by 2032.

The market demand is propelled by the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT). AIoT, a powerful combination of intelligent algorithms and connected devices, is revolutionizing industries, creating new business opportunities, and transforming the way we live & work. The recent years have seen increased adoption of smart devices, data generation, and advancements in AI technologies.

The integration of AIoT has created multitude of possibilities, including predictive maintenance, smart homes, autonomous vehicles, precision agriculture, industrial automation, and much more. This convergence has the potential to streamline operations, enhance efficiency, and deliver seamless user experiences across various sectors. The rapid adoption of IoT devices across industries, along with the escalating demand for real-time data analysis and decision-making, is fueling the need for AIoT solutions.

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The AIoT services market segment will record a strong growth during 2023 and 2032, owing to need for effective integration of AI capabilities with the IoT infrastructure across industries. AIoT services include consulting, system integration, managed services, and support. These services are designed to assist organizations in deploying, managing, and optimizing AIoT solutions, enabling them to extract maximum value from their connected devices and data. The service providers bring expertise in AI algorithms, data analytics, cloud computing, and cybersecurity, helping businesses overcome implementation challenges, enhance operational efficiency, and drive innovation.

The AIoT market from on-premise segment is expected to grow significantly through 2032, on account of greater control offered by this deployment to organization over their data, security, and customization. This deployment model is favored by industries with stringent data privacy requirements, regulatory compliance needs, or specific infrastructure limitations that restrict the use of cloud-based services. On-premise deployment enables organizations to leverage the power of AI and IoT while maintaining direct ownership and management of their technology stack. It allows for seamless integration with existing systems and networks, ensuring compatibility and enabling real-time data processing & analysis. By deploying AIoT solutions on-premise, businesses can enjoy increased data sovereignty, reduced latency, and enhanced data privacy.

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North America AIoT market will garner notable revenues by 2032. The region's advanced technological infrastructure, strong digital ecosystem, and high concentration of tech-savvy companies create a fertile ground for AIoT innovation & deployment. Numerous industries, including healthcare, manufacturing, transportation, and retail, are harnessing AIoT solutions to drive digital transformation, improve operational efficiency, and gain a competitive edge. The favorable government initiatives, supportive regulatory frameworks, and a skilled workforce focused on AI & IoT will augment the regional industry growth in the coming years.

Partial chapters of report table of contents (TOC):

Chapter 2   Executive Summary

2.1    AIoT platforms market 360ยบ synopsis, 2018 - 2032

2.2    Business trends

2.2.1    Total Addressable Market (TAM)

2.3    Regional trends

2.4    Component trends

2.5    Deployment trends

2.6    End-use trends

Chapter 3   AIot Platforms Market Industry Insights

3.1    Impact on COVID-19 impact

3.2    Russia-Ukraine war impact

3.3    Industry ecosystem analysis

3.4    Deployment & innovation landscape

3.5    Patent analysis

3.6    Key news and initiatives

3.7    Regulatory landscape

3.8    Impact forces

3.8.1    Growth drivers

3.8.1.1   Rising adoption in manufacturing industry

3.8.1.2   High efficiency of AIoT platforms devices

3.8.1.3   AIoT industrial hardware is growing smarter

3.8.1.4   Increased adoption of AIoT platforms devices across sectors for real-time decision making

3.8.1.5   Growing investments in IoT

3.8.1.6   Edge-Computing-Powered Artificial Intelligence of Things

3.8.2    Industry pitfalls & challenges

3.8.2.1   Shortage of skilled workforce in companies requiring expertise in AIoT platforms

3.8.2.2   Complexities in industry value chain

3.9    Profit margin analysis

3.10    Vendor matrix analysis

3.11    Growth potential analysis

3.12    Porter’s analysis

3.13    PESTEL analysis

 

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