Market Forecast By Component (Solutions Network Management , Data Management), By Vertical (Process, Discrete), By Services (Professional, Managed), By Application (Predictive maintenance, Business process optimization, Asset tracking and management, Logistics and supply chain management, Real-time workforce tracking and management, Automation control and management, Emergency and incident management and business communication), By Deployment Mode (On-premises, Cloud), By Organization Size (Small and Medium Enterprises, Large Enterprises) And Competitive Landscape
Product Code: ETC4424342 | Publication Date: Jul 2023 | Updated Date: Jan 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
Report Name | United States IoT in Manufacturing Market |
Forecast period | 2025-2031 |
CAGR | 12.6% |
Growing Sector | Energy and Utility |
The United States IoT in Manufacturing market report thoroughly covers the market by component, by vertical, by services, by application, by deployment mode, by organization size and competitive Landscape. The report provides an unbiased and detailed analysis of the on-going market trends, opportunities/high growth areas, and market drivers which would help the stakeholders to devise and align their market strategies according to the current and future market dynamics.
The US market for IoT in manufacturing is experiencing a significant expansion, driven by the industry's push towards digital transformation and smart factory initiatives. With the integration of IoT devices, manufacturers are able to streamline production processes, reduce downtime, increase operational efficiency, and enable predictive maintenance. This surge is further bolstered by the adoption of advanced data analytics and the increasing emphasis on supply chain optimization, making IoT not just a luxury but a necessity for competitive manufacturing in the digital age. Further, the adoption of edge computing trend is pushing manufacturers to bring data processing closer to the source of data generation, which is particularly significant in environments where real-time analytics and decision-making are crucial. Edge computing helps in mitigating bandwidth issues and reducing transmission costs by processing data on the edge of the network, before selectively sending it to centralized cloud-based services for further analysis or storage. Moreover, on the cybersecurity front, the Increased Focus on Cybersecurity is a direct response to the vulnerabilities introduced by the expanded attack surface of IoT devices. Manufacturers are dedicating substantial resources to develop and integrate advanced security protocols into their systems. With the advent of IoT, maintaining a secure and resilient manufacturing environment goes beyond mere compliance—it now involves using sophisticated encryption methods, regular security audits, and employee training to combat potential cyber threats.
According to 6Wresearch, United States IoT in Manufacturing market size is projected to grow at a CAGR of 12.6% during 2025-2031. The proliferation of IoT in manufacturing propels growth primarily by introducing unprecedented levels of efficiency and connectivity. One major driver is the advent of Predictive Maintenance, powered by IoT devices, which predict equipment failures before they occur, thereby reducing downtime and maintenance costs. Additionally, Real-Time Analytics harnessed from the factory floor to the executive suite enable more informed decision-making, leading to improved productivity and profitability. The integration of Supply Chain Optimization strategies, facilitated by IoT, ensures a more responsive and adaptive supply chain, crucial in today's fast-paced global economy. Moreover, IoT's role in enabling Mass Customization offers manufacturers the agility to quickly adapt to consumer demands without a corresponding increase in production costs. Collectively, these growth drivers not only boost manufacturers' bottom lines but also enhance their competitive edge in the rapidly evolving industrial landscape.
In recognition of the transformative impact of IoT within the manufacturing sector, governments worldwide are initiating a variety of measures to support this technological adoption. Strategic investments in research and development, coupled with the creation of favorable policy environments, facilitate the integration of IoT innovations. Furthermore, government-backed incentives and subsidies aimed at modernizing infrastructure underscore a commitment to nurturing industries that leverage IoT for competitive advantage. Similarly, these pains have heightened the United States IoT in Manufacturing Market Share. Further, these initiatives not only stimulate economic growth but also aim to establish a foundation for sustainable industrial practices aligned with environmental standards. The synergy between government efforts and industrial IoT advancements promises to catalyze a new era of smart manufacturing that can rise to the challenges of the 21st century.
As the industrial IoT landscape continues to expand, several key players have established themselves at the forefront of this revolution. Companies like Siemens, with their MindSphere platform, pave the way in smart manufacturing solutions, whereas General Electric's Predix system exemplifies the power of IoT in predictive maintenance. Other notable companies such as Bosch, Honeywell, and Cisco are contributing significantly with their IoT offerings that integrate seamlessly with existing manufacturing operations, enabling smarter factory floors and supply chains. In addition, the businesses’ hold enormous United States IoT in Manufacturing Market Revenues. Further, these industry leaders, among others, are not only advancing IoT technology but are also setting the standards for its application in manufacturing, driving innovation and efficiency across the globe.
The horizon for the industrial Internet of Things (IoT) is brimming with potential, promising transformative changes that may redefine entire industries. Looking ahead, the market is likely to witness a surge in the adoption of edge computing, which will empower real-time analytics and localized decision-making, thereby enhancing responsiveness and operational efficiency. Additionally, the integration of AI and machine learning with IoT devices is poised to offer intelligent automation solutions that can predict failures and optimize maintenance schedules. This confluence of technologies is also expected to spur more robust cybersecurity measures as dependency on networked devices grows.
According to Ravi Bhandari, Research Head, 6Wresearch, in the intricate web of industrial IoT, the two key component types include solutions network management and data management. Further, solutions network management serves as the backbone of IoT, ensuring that devices are not only connected but can communicate effectively, safely, and reliably. This component is responsible for the upkeep of the network's health, managing bandwidth, troubleshooting connectivity issues, and safeguarding data transfers. On the flip side, data management tackles the colossal amounts of data generated by IoT devices, employing advanced software and systems to collect, store, and analyze this information. It allows companies to glean actionable insights, streamline operations, and anticipate future trends, thereby aiding in strategic decision-making. As the lifeblood of industrial IoT, these components work in tandem to unlock the full potential of smart manufacturing.
The applications of industrial IoT extend to various critical operations, offering substantial improvements in efficiency and cost savings. Predictive Maintenance leverages IoT data to foresee equipment failure, enabling timely maintenance and minimizing downtime. Business Process Optimization analyses performance metrics to streamline workflows and enhance productivity. Asset Tracking and Management ensures real-time visibility of assets, prevents loss, and optimizes asset utilization. Further, Logistics and Supply Chain Management integrates IoT for monitoring the movement of goods, enhancing delivery speeds, reducing errors, and predicting supply needs, ultimately leading to a more responsive and efficient supply chain.
The United States IoT in Manufacturing market report provides a detailed analysis of the following market segments:
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 United States IoT in Manufacturing Market Overview |
3.1 United States Country Macro Economic Indicators |
3.2 United States IoT in Manufacturing Market Revenues & Volume, 2021 & 2031F |
3.3 United States IoT in Manufacturing Market - Industry Life Cycle |
3.4 United States IoT in Manufacturing Market - Porter's Five Forces |
3.5 United States IoT in Manufacturing Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.6 United States IoT in Manufacturing Market Revenues & Volume Share, By Vertical , 2021 & 2031F |
3.7 United States IoT in Manufacturing Market Revenues & Volume Share, By Services , 2021 & 2031F |
3.8 United States IoT in Manufacturing Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.9 United States IoT in Manufacturing Market Revenues & Volume Share, By Deployment Mode, 2021 & 2031F |
3.10 United States IoT in Manufacturing Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
4 United States IoT in Manufacturing Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 United States IoT in Manufacturing Market Trends |
6 United States IoT in Manufacturing Market, By Types |
6.1 United States IoT in Manufacturing Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 United States IoT in Manufacturing Market Revenues & Volume, By Component , 2021 - 2031F |
6.1.3 United States IoT in Manufacturing Market Revenues & Volume, By Solutions Network Management , 2021 - 2031F |
6.1.4 United States IoT in Manufacturing Market Revenues & Volume, By Data Management, 2021 - 2031F |
6.2 United States IoT in Manufacturing Market, By Vertical |
6.2.1 Overview and Analysis |
6.2.2 United States IoT in Manufacturing Market Revenues & Volume, By Process, 2021 - 2031F |
6.2.3 United States IoT in Manufacturing Market Revenues & Volume, By Discrete, 2021 - 2031F |
6.3 United States IoT in Manufacturing Market, By Services |
6.3.1 Overview and Analysis |
6.3.2 United States IoT in Manufacturing Market Revenues & Volume, By Professional, 2021 - 2031F |
6.3.3 United States IoT in Manufacturing Market Revenues & Volume, By Managed, 2021 - 2031F |
6.4 United States IoT in Manufacturing Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 United States IoT in Manufacturing Market Revenues & Volume, By Predictive maintenance, 2021 - 2031F |
6.4.3 United States IoT in Manufacturing Market Revenues & Volume, By Business process optimization, 2021 - 2031F |
6.4.4 United States IoT in Manufacturing Market Revenues & Volume, By Asset tracking and management, 2021 - 2031F |
6.4.5 United States IoT in Manufacturing Market Revenues & Volume, By Logistics and supply chain management, 2021 - 2031F |
6.4.6 United States IoT in Manufacturing Market Revenues & Volume, By Real-time workforce tracking and management, 2021 - 2031F |
6.4.7 United States IoT in Manufacturing Market Revenues & Volume, By Automation control and management, 2021 - 2031F |
6.5 United States IoT in Manufacturing Market, By Deployment Mode |
6.5.1 Overview and Analysis |
6.5.2 United States IoT in Manufacturing Market Revenues & Volume, By On-premises, 2021 - 2031F |
6.5.3 United States IoT in Manufacturing Market Revenues & Volume, By Cloud, 2021 - 2031F |
6.6 United States IoT in Manufacturing Market, By Organization Size |
6.6.1 Overview and Analysis |
6.6.2 United States IoT in Manufacturing Market Revenues & Volume, By Small and Medium Enterprises, 2021 - 2031F |
6.6.3 United States IoT in Manufacturing Market Revenues & Volume, By Large Enterprises, 2021 - 2031F |
7 United States IoT in Manufacturing Market Import-Export Trade Statistics |
7.1 United States IoT in Manufacturing Market Export to Major Countries |
7.2 United States IoT in Manufacturing Market Imports from Major Countries |
8 United States IoT in Manufacturing Market Key Performance Indicators |
9 United States IoT in Manufacturing Market - Opportunity Assessment |
9.1 United States IoT in Manufacturing Market Opportunity Assessment, By Component , 2021 & 2031F |
9.2 United States IoT in Manufacturing Market Opportunity Assessment, By Vertical , 2021 & 2031F |
9.3 United States IoT in Manufacturing Market Opportunity Assessment, By Services , 2021 & 2031F |
9.4 United States IoT in Manufacturing Market Opportunity Assessment, By Application, 2021 & 2031F |
9.5 United States IoT in Manufacturing Market Opportunity Assessment, By Deployment Mode, 2021 & 2031F |
9.6 United States IoT in Manufacturing Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
10 United States IoT in Manufacturing Market - Competitive Landscape |
10.1 United States IoT in Manufacturing Market Revenue Share, By Companies, 2024 |
10.2 United States IoT in Manufacturing Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |