United States IoT in Manufacturing Market 2029: Size, Share & Growth Forecast Report

Industryresearch

Jul 29, 2025 - 13:13

Industry Key Highlights

According to TechSci Research report, “United States IoT in Manufacturing Market – By Region, Competition, Forecast and Opportunities, 2029F”, United States IoT in Manufacturing Market was valued at USD 27.2 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 15.7% through 2029F.

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The market’s growth is primarily driven by the widespread implementation of smart sensors, cloud platforms, connected devices, and analytics tools. These technologies empower manufacturers with actionable insights into equipment performance, production metrics, and supply chain dynamics, enabling timely and informed decisions. With the advent of Industry 4.0, U.S. manufacturers are leveraging IoT to move toward intelligent and agile production environments.

Market Drivers

1. Operational Efficiency and Automation

The increasing demand for operational efficiency and productivity improvements is a key catalyst for IoT adoption in the manufacturing sector. IoT-enabled smart factories provide real-time visibility into operations, empowering manufacturers to automate routine processes, monitor machinery, and optimize production.

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2. Predictive Maintenance Revolution

Predictive maintenance has emerged as a game-changer in the IoT manufacturing domain. By deploying sensors and analytics, manufacturers can forecast equipment failures before they occur, thereby avoiding unplanned downtimes and reducing costly repairs. The shift from reactive to predictive maintenance is saving millions annually in lost productivity.

Emerging Trends

1. Integration with AI and Machine Learning

IoT devices are increasingly being integrated with AI and machine learning algorithms to deliver predictive insights, anomaly detection, and automated decision-making. These integrations drive continuous improvement and autonomous manufacturing capabilities.

2. Edge Computing in Industrial Applications

Edge computing is gaining prominence in IoT manufacturing ecosystems. By processing data closer to the source (on the edge), latency is reduced, and critical decisions can be made in real time. This trend is crucial for applications requiring rapid responsiveness such as robotics and process control.

3. Cybersecurity for Connected Systems

With the rise in connected devices, cybersecurity has become a critical concern. Manufacturers are investing heavily in encrypted communications, multi-factor authentication, and anomaly detection systems to protect sensitive industrial data.

4. Digital Twins

Digital twin technology is rapidly being adopted as a tool for simulating, monitoring, and optimizing physical assets using real-time data. Manufacturers are using digital twins to model entire production lines, allowing them to test changes before implementation.

5. Smart Robotics and Automation

Collaborative robots (cobots) and autonomous systems are being increasingly integrated into smart factories. These machines, guided by IoT platforms, work alongside human operators, enhancing productivity while maintaining high precision.

Segmental Insights

Predictive Maintenance – The Leading Application Segment

Predictive maintenance has emerged as the dominant application within the U.S. IoT in manufacturing market. It enables real-time monitoring of equipment health, allowing manufacturers to predict and prevent mechanical failures before they happen. This not only minimizes operational disruptions but also extends the service life of machinery.

The ROI on predictive maintenance is substantial. Companies adopting it report reduced maintenance costs, fewer unscheduled downtimes, and improved overall equipment effectiveness (OEE). As this solution becomes more affordable and accessible, its adoption is expected to grow even further during the forecast period.

Key market players in the United States IoT in Manufacturing Market are: