United States IoT in Manufacturing Market By Component (Software, Services), By Application (Predictive Maintenance, Asset Performance Management, Quality Management, Cognitive Process & Operations Management, Supply Chain Management, Others), By Region, Competition, Forecast and Opportunities, 2019-2029F
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. The United States IoT in Manufacturing Market is experiencing significant growth as the convergence of technology and manufacturing processes transforms the industry landscape. The adoption of Internet of Things (IoT) solutions in manufacturing has gained momentum, driven by a compelling need for enhanced operational efficiency, real-time data analytics, and the optimization of production processes. IoT technologies, including sensors, connected devices, and data analytics platforms, enable manufacturers to monitor equipment performance, predict maintenance needs, and streamline supply chain operations. This not only leads to cost savings but also enhances product quality and production capacity. Moreover, the market is witnessing increased investment in smart factories and Industry 4.0 initiatives, driving innovation and creating new business opportunities. With a robust ecosystem of IoT providers, a skilled workforce, and a strong manufacturing base, the United States is poised to continue its leadership in the IoT in Manufacturing Market, fostering sustained growth and competitiveness in the global manufacturing landscape.
Key Market Drivers
Improved Operational Efficiency
One of the primary drivers fueling the growth of the United States IoT in Manufacturing Market is the quest for improved operational efficiency. Manufacturers are increasingly leveraging IoT technologies to optimize their production processes, reduce waste, and enhance resource utilization. By integrating sensors, connected devices, and data analytics tools into their operations, manufacturers gain real-time insights into the performance of machinery and equipment. This data allows for predictive maintenance, reducing costly downtime, and preventing unscheduled interruptions in production. Furthermore, IoT-driven automation and control systems enable manufacturers to make rapid, data-informed decisions, thus optimizing resource allocation, reducing energy consumption, and ultimately improving overall efficiency. This driver not only results in cost savings but also ensures the smooth and uninterrupted flow of production, which is essential for meeting consumer demands and remaining competitive in the global manufacturing landscape.
Enhanced Product Quality
Another significant driver propelling the United States IoT in Manufacturing Market is the pursuit of enhanced product quality. IoT technologies enable manufacturers to monitor and control the quality of products in real-time, allowing for immediate adjustments and improvements in production processes. Through the utilization of sensors and IoT platforms, manufacturers can track critical parameters such as temperature, humidity, pressure, and more to ensure that products meet strict quality standards. Any deviations from these standards trigger automated alerts and corrective actions. This capability is particularly critical in industries such as automotive, pharmaceuticals, and electronics, where product quality and safety are of paramount importance. Improved product quality not only satisfies customer expectations but also reduces costly recalls and warranty claims, thereby bolstering a manufacturer's reputation and bottom line.
Supply Chain Optimization
IoT technologies are transforming the management of supply chains in the United States manufacturing sector, serving as a third significant driver of market growth. By incorporating IoT devices and solutions, manufacturers gain real-time visibility into the movement of materials, components, and finished goods across the supply chain. This visibility allows for precise tracking, monitoring, and control of inventory levels, ensuring that materials are available when and where they are needed. IoT also enables predictive maintenance for logistics equipment, reducing downtime and enhancing the efficiency of transportation and distribution processes. Manufacturers can further leverage IoT data to make informed decisions regarding demand forecasting, inventory management, and route optimization, thus reducing costs and improving overall supply chain efficiency.
Industry 4.0 Initiatives
The widespread adoption of Industry 4.0 initiatives is another key driver behind the United States IoT in Manufacturing Market's expansion. Industry 4.0 represents the fourth industrial revolution and emphasizes the integration of digital technologies into manufacturing, including IoT, big data, artificial intelligence, and cloud computing. As U.S. manufacturers increasingly embrace the principles of Industry 4.0, they are reshaping their operations to be more agile, responsive, and data-driven. These initiatives involve the creation of 'smart factories'where interconnected devices and systems communicate and collaborate autonomously. By embracing Industry 4.0, manufacturers can adapt quickly to changing market demands, customize production, and minimize waste, thus staying competitive in an ever-evolving global landscape.
Technological Ecosystem and Skilled Workforce
The United States IoT in Manufacturing Market benefits from a robust technological ecosystem and a skilled workforce, serving as a fifth key driver for its growth. The presence of numerous technology providers and IoT solution developers allows manufacturers to access a wide range of cutting-edge IoT products and services. Additionally, the United States boasts a well-trained workforce with expertise in data analytics, cybersecurity, and IoT implementation. This combination of a rich ecosystem and a skilled workforce provides manufacturers with the resources and expertise required to successfully adopt and integrate IoT solutions into their operations. The synergy between technology providers and a knowledgeable workforce accelerates the adoption of IoT in manufacturing and ensures that U.S. manufacturers remain at the forefront of technological advancements in the sector, ultimately driving market growth.
Key Market Challenges
Data Security and Privacy Concerns
One of the foremost challenges in the United States IoT in Manufacturing Market is the growing concern regarding data security and privacy. As manufacturers increasingly rely on IoT devices and systems to collect and transmit sensitive operational data, the risk of cyberattacks and data breaches becomes more pronounced. Hackers, both criminal and state-sponsored, are continually seeking vulnerabilities in connected manufacturing systems, which could have devastating consequences, including the theft of intellectual property, disruption of production, and potential safety hazards. Moreover, the collection of data from IoT devices raises concerns about the privacy of employee and consumer data, especially in the context of wearable technologies and tracking systems used in smart factories. Addressing these challenges necessitates robust cybersecurity measures, stringent IoT in Manufacturing regulations, and a commitment to maintaining the integrity of sensitive manufacturing data.
Integration Complexity
Another significant challenge in the United States IoT in Manufacturing Market is the complexity of integrating IoT technologies into existing manufacturing processes and legacy systems. Many manufacturers have long-standing machinery and equipment that were not initially designed to be IoT-enabled. Retrofitting or integrating these systems with IoT devices can be intricate and costly. Ensuring compatibility, reliability, and scalability of IoT solutions with legacy systems is an ongoing challenge. This integration complexity can lead to delays and cost overruns, impeding the adoption of IoT in manufacturing. Overcoming this challenge requires careful planning, investment, and expertise to seamlessly integrate IoT technology into the existing manufacturing infrastructure.
High Initial Investment Costs
The substantial initial investment costs associated with implementing IoT solutions in manufacturing represent another formidable challenge. While the long-term benefits of IoT adoption are substantial, the upfront expenses for acquiring and deploying the necessary hardware, software, and expertise can be a barrier for some manufacturers. These costs include sensors, data analytics platforms, connectivity infrastructure, and cybersecurity measures. Smaller and medium-sized manufacturers, in particular, may struggle to allocate the required resources. To address this challenge, government incentives, industry partnerships, and financing options need to be made available to encourage broader adoption of IoT in manufacturing and ensure that manufacturers of all sizes can reap the benefits.
Talent Shortages and Workforce Skills
A critical challenge facing the United States IoT in Manufacturing Market is the shortage of skilled professionals who can design, implement, and maintain IoT systems. The integration of IoT into manufacturing requires a specialized workforce capable of handling complex data analytics, cybersecurity, and IoT device management. Manufacturing companies often find it challenging to attract and retain talent with the necessary expertise in this rapidly evolving field. Training and upskilling the existing workforce to meet the demands of IoT adoption is also a considerable challenge. To overcome this challenge, investment in educational programs, apprenticeships, and workforce development initiatives is essential. Collaborations between educational institutions and industry can help bridge the skills gap and ensure that the manufacturing sector has access to a qualified workforce capable of harnessing the full potential of IoT technologies.
Key Market Trends
Increased Adoption of Predictive Maintenance
A notable market trend in the United States IoT in Manufacturing Market is the increased adoption of predictive maintenance solutions. Manufacturers are leveraging IoT technologies to monitor the condition of equipment and machinery in real-time. Sensors collect data on variables such as temperature, vibration, and energy consumption, allowing predictive analytics to anticipate maintenance needs. By moving from a reactive maintenance model to a predictive one, manufacturers can avoid costly downtime, extend the lifespan of machinery, and optimize maintenance schedules. This trend not only reduces operational costs but also enhances overall production efficiency, making it a pivotal driver for the industry's growth.
Expansion of IoT Ecosystem Partnerships
The IoT in Manufacturing Market in the United States is witnessing a trend toward the expansion of ecosystem partnerships. Manufacturers are increasingly collaborating with IoT solution providers, software developers, and cloud service companies to create comprehensive end-to-end solutions. These partnerships allow manufacturers to access a wide range of IoT technologies, data analytics platforms, and cloud services. By working together, ecosystem partners provide integrated solutions that streamline the adoption of IoT in manufacturing, making it easier for companies to deploy and manage IoT solutions effectively.
Integration of Artificial Intelligence and Machine Learning
Integrating artificial intelligence (AI) and machine learning (ML) with IoT technologies is a prominent market trend in the United States IoT in Manufacturing sector. AI and ML enhance the capabilities of IoT devices by enabling data analytics, pattern recognition, and decision-making in real-time. Manufacturers use these technologies to analyze vast amounts of data collected from IoT sensors to identify trends, anomalies, and potential improvements in their processes. This trend empowers manufacturers to make data-informed decisions, optimize production, and uncover hidden efficiencies. The integration of AI and ML with IoT also contributes to the development of autonomous manufacturing systems, allowing for greater efficiency and responsiveness in the production process.
Demand for Sustainable and Eco-Friendly Manufacturing
Sustainability is a significant market trend in the United States IoT in Manufacturing Market. With an increasing focus on environmental responsibility, manufacturers are adopting IoT solutions to monitor and reduce their energy consumption, emissions, and resource waste. IoT sensors provide real-time data on energy usage and environmental factors, allowing manufacturers to make informed decisions to minimize their carbon footprint. Sustainable manufacturing not only aligns with regulatory requirements and corporate social responsibility but also meets the growing consumer demand for eco-friendly products. Manufacturers that implement IoT solutions to support sustainability initiatives gain a competitive edge in the market while contributing to a greener and more responsible manufacturing sector.
Customization and Flexible Manufacturing
Another noteworthy trend in the United States IoT in Manufacturing Market is the growing demand for customization and flexible manufacturing. IoT technologies enable manufacturers to reconfigure production processes quickly and efficiently to accommodate various product specifications. With IoT sensors and connectivity, manufacturers can monitor and adjust equipment, production lines, and assembly processes in real-time. This trend caters to the evolving consumer preferences for personalized and niche products and supports just-in-time manufacturing practices. Manufacturers that embrace customization and flexibility through IoT solutions can reduce lead times, optimize resource utilization, and meet the demand for tailored products, positioning themselves for success in today's dynamic manufacturing landscape.
Segmental Insights
Component Insights
The software segment emerged as the dominant segment in the United States IoT in Manufacturing Market, and it is expected to maintain its dominance throughout the forecast period. The software component of IoT in manufacturing encompasses a wide range of applications, including data analytics, cloud platforms, connectivity solutions, and industrial IoT (IIoT) platforms. Manufacturers are increasingly recognizing the value of data-driven insights, real-time monitoring, and process optimization offered by IoT software solutions. These software applications enable manufacturers to collect, process, and analyze data from IoT sensors and devices, providing actionable information to enhance operational efficiency, predictive maintenance, and decision-making. As the adoption of IoT in manufacturing continues to expand, there is a growing need for customizable and scalable software solutions that can be tailored to the specific requirements of different manufacturing processes and industries. This flexibility and adaptability make software a critical component in IoT implementations. As the IoT landscape evolves, software developers and solution providers are continuously innovating to offer more advanced and sophisticated software applications, which further solidifies the dominance of the software segment in the United States IoT in Manufacturing Market. This trend is expected to persist during the forecast period as more manufacturers recognize the transformative potential of IoT software in optimizing their operations, reducing costs, and staying competitive in the rapidly evolving manufacturing sector.
Regional Insights
The Midwest region of the United States emerged as the dominant region in the IoT in Manufacturing Market and is expected to maintain its dominance during the forecast period. The Midwest has historically been a manufacturing powerhouse, housing a significant portion of the country's industrial facilities, automotive manufacturing plants, and a wide range of other production centers. This region's strong manufacturing heritage, along with a growing focus on modernization and technology adoption, has made it a key driver of IoT implementation in the manufacturing sector. The Midwest's central geographic location offers strategic advantages in terms of supply chain logistics and connectivity, further promoting the adoption of IoT solutions for efficient and responsive manufacturing operations. With the presence of established manufacturers and a skilled workforce, the Midwest has the infrastructure and expertise to leverage IoT technologies effectively. The region's manufacturing diversity, spanning automotive, aerospace, food and beverage, and machinery industries, among others, has driven the adoption of IoT across various manufacturing verticals. As manufacturers in the Midwest continue to invest in digital transformation and Industry 4.0 initiatives to enhance productivity and maintain their competitive edge, the dominance of the Midwest in the United States IoT in Manufacturing Market is expected to persist throughout the forecast period.
Key Market Players
In this report, the United States IoT in Manufacturing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the United States IoT in Manufacturing Market.
Available Customizations:
United States IoT in Manufacturing Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Key Market Drivers
Improved Operational Efficiency
One of the primary drivers fueling the growth of the United States IoT in Manufacturing Market is the quest for improved operational efficiency. Manufacturers are increasingly leveraging IoT technologies to optimize their production processes, reduce waste, and enhance resource utilization. By integrating sensors, connected devices, and data analytics tools into their operations, manufacturers gain real-time insights into the performance of machinery and equipment. This data allows for predictive maintenance, reducing costly downtime, and preventing unscheduled interruptions in production. Furthermore, IoT-driven automation and control systems enable manufacturers to make rapid, data-informed decisions, thus optimizing resource allocation, reducing energy consumption, and ultimately improving overall efficiency. This driver not only results in cost savings but also ensures the smooth and uninterrupted flow of production, which is essential for meeting consumer demands and remaining competitive in the global manufacturing landscape.
Enhanced Product Quality
Another significant driver propelling the United States IoT in Manufacturing Market is the pursuit of enhanced product quality. IoT technologies enable manufacturers to monitor and control the quality of products in real-time, allowing for immediate adjustments and improvements in production processes. Through the utilization of sensors and IoT platforms, manufacturers can track critical parameters such as temperature, humidity, pressure, and more to ensure that products meet strict quality standards. Any deviations from these standards trigger automated alerts and corrective actions. This capability is particularly critical in industries such as automotive, pharmaceuticals, and electronics, where product quality and safety are of paramount importance. Improved product quality not only satisfies customer expectations but also reduces costly recalls and warranty claims, thereby bolstering a manufacturer's reputation and bottom line.
Supply Chain Optimization
IoT technologies are transforming the management of supply chains in the United States manufacturing sector, serving as a third significant driver of market growth. By incorporating IoT devices and solutions, manufacturers gain real-time visibility into the movement of materials, components, and finished goods across the supply chain. This visibility allows for precise tracking, monitoring, and control of inventory levels, ensuring that materials are available when and where they are needed. IoT also enables predictive maintenance for logistics equipment, reducing downtime and enhancing the efficiency of transportation and distribution processes. Manufacturers can further leverage IoT data to make informed decisions regarding demand forecasting, inventory management, and route optimization, thus reducing costs and improving overall supply chain efficiency.
Industry 4.0 Initiatives
The widespread adoption of Industry 4.0 initiatives is another key driver behind the United States IoT in Manufacturing Market's expansion. Industry 4.0 represents the fourth industrial revolution and emphasizes the integration of digital technologies into manufacturing, including IoT, big data, artificial intelligence, and cloud computing. As U.S. manufacturers increasingly embrace the principles of Industry 4.0, they are reshaping their operations to be more agile, responsive, and data-driven. These initiatives involve the creation of 'smart factories'where interconnected devices and systems communicate and collaborate autonomously. By embracing Industry 4.0, manufacturers can adapt quickly to changing market demands, customize production, and minimize waste, thus staying competitive in an ever-evolving global landscape.
Technological Ecosystem and Skilled Workforce
The United States IoT in Manufacturing Market benefits from a robust technological ecosystem and a skilled workforce, serving as a fifth key driver for its growth. The presence of numerous technology providers and IoT solution developers allows manufacturers to access a wide range of cutting-edge IoT products and services. Additionally, the United States boasts a well-trained workforce with expertise in data analytics, cybersecurity, and IoT implementation. This combination of a rich ecosystem and a skilled workforce provides manufacturers with the resources and expertise required to successfully adopt and integrate IoT solutions into their operations. The synergy between technology providers and a knowledgeable workforce accelerates the adoption of IoT in manufacturing and ensures that U.S. manufacturers remain at the forefront of technological advancements in the sector, ultimately driving market growth.
Key Market Challenges
Data Security and Privacy Concerns
One of the foremost challenges in the United States IoT in Manufacturing Market is the growing concern regarding data security and privacy. As manufacturers increasingly rely on IoT devices and systems to collect and transmit sensitive operational data, the risk of cyberattacks and data breaches becomes more pronounced. Hackers, both criminal and state-sponsored, are continually seeking vulnerabilities in connected manufacturing systems, which could have devastating consequences, including the theft of intellectual property, disruption of production, and potential safety hazards. Moreover, the collection of data from IoT devices raises concerns about the privacy of employee and consumer data, especially in the context of wearable technologies and tracking systems used in smart factories. Addressing these challenges necessitates robust cybersecurity measures, stringent IoT in Manufacturing regulations, and a commitment to maintaining the integrity of sensitive manufacturing data.
Integration Complexity
Another significant challenge in the United States IoT in Manufacturing Market is the complexity of integrating IoT technologies into existing manufacturing processes and legacy systems. Many manufacturers have long-standing machinery and equipment that were not initially designed to be IoT-enabled. Retrofitting or integrating these systems with IoT devices can be intricate and costly. Ensuring compatibility, reliability, and scalability of IoT solutions with legacy systems is an ongoing challenge. This integration complexity can lead to delays and cost overruns, impeding the adoption of IoT in manufacturing. Overcoming this challenge requires careful planning, investment, and expertise to seamlessly integrate IoT technology into the existing manufacturing infrastructure.
High Initial Investment Costs
The substantial initial investment costs associated with implementing IoT solutions in manufacturing represent another formidable challenge. While the long-term benefits of IoT adoption are substantial, the upfront expenses for acquiring and deploying the necessary hardware, software, and expertise can be a barrier for some manufacturers. These costs include sensors, data analytics platforms, connectivity infrastructure, and cybersecurity measures. Smaller and medium-sized manufacturers, in particular, may struggle to allocate the required resources. To address this challenge, government incentives, industry partnerships, and financing options need to be made available to encourage broader adoption of IoT in manufacturing and ensure that manufacturers of all sizes can reap the benefits.
Talent Shortages and Workforce Skills
A critical challenge facing the United States IoT in Manufacturing Market is the shortage of skilled professionals who can design, implement, and maintain IoT systems. The integration of IoT into manufacturing requires a specialized workforce capable of handling complex data analytics, cybersecurity, and IoT device management. Manufacturing companies often find it challenging to attract and retain talent with the necessary expertise in this rapidly evolving field. Training and upskilling the existing workforce to meet the demands of IoT adoption is also a considerable challenge. To overcome this challenge, investment in educational programs, apprenticeships, and workforce development initiatives is essential. Collaborations between educational institutions and industry can help bridge the skills gap and ensure that the manufacturing sector has access to a qualified workforce capable of harnessing the full potential of IoT technologies.
Key Market Trends
Increased Adoption of Predictive Maintenance
A notable market trend in the United States IoT in Manufacturing Market is the increased adoption of predictive maintenance solutions. Manufacturers are leveraging IoT technologies to monitor the condition of equipment and machinery in real-time. Sensors collect data on variables such as temperature, vibration, and energy consumption, allowing predictive analytics to anticipate maintenance needs. By moving from a reactive maintenance model to a predictive one, manufacturers can avoid costly downtime, extend the lifespan of machinery, and optimize maintenance schedules. This trend not only reduces operational costs but also enhances overall production efficiency, making it a pivotal driver for the industry's growth.
Expansion of IoT Ecosystem Partnerships
The IoT in Manufacturing Market in the United States is witnessing a trend toward the expansion of ecosystem partnerships. Manufacturers are increasingly collaborating with IoT solution providers, software developers, and cloud service companies to create comprehensive end-to-end solutions. These partnerships allow manufacturers to access a wide range of IoT technologies, data analytics platforms, and cloud services. By working together, ecosystem partners provide integrated solutions that streamline the adoption of IoT in manufacturing, making it easier for companies to deploy and manage IoT solutions effectively.
Integration of Artificial Intelligence and Machine Learning
Integrating artificial intelligence (AI) and machine learning (ML) with IoT technologies is a prominent market trend in the United States IoT in Manufacturing sector. AI and ML enhance the capabilities of IoT devices by enabling data analytics, pattern recognition, and decision-making in real-time. Manufacturers use these technologies to analyze vast amounts of data collected from IoT sensors to identify trends, anomalies, and potential improvements in their processes. This trend empowers manufacturers to make data-informed decisions, optimize production, and uncover hidden efficiencies. The integration of AI and ML with IoT also contributes to the development of autonomous manufacturing systems, allowing for greater efficiency and responsiveness in the production process.
Demand for Sustainable and Eco-Friendly Manufacturing
Sustainability is a significant market trend in the United States IoT in Manufacturing Market. With an increasing focus on environmental responsibility, manufacturers are adopting IoT solutions to monitor and reduce their energy consumption, emissions, and resource waste. IoT sensors provide real-time data on energy usage and environmental factors, allowing manufacturers to make informed decisions to minimize their carbon footprint. Sustainable manufacturing not only aligns with regulatory requirements and corporate social responsibility but also meets the growing consumer demand for eco-friendly products. Manufacturers that implement IoT solutions to support sustainability initiatives gain a competitive edge in the market while contributing to a greener and more responsible manufacturing sector.
Customization and Flexible Manufacturing
Another noteworthy trend in the United States IoT in Manufacturing Market is the growing demand for customization and flexible manufacturing. IoT technologies enable manufacturers to reconfigure production processes quickly and efficiently to accommodate various product specifications. With IoT sensors and connectivity, manufacturers can monitor and adjust equipment, production lines, and assembly processes in real-time. This trend caters to the evolving consumer preferences for personalized and niche products and supports just-in-time manufacturing practices. Manufacturers that embrace customization and flexibility through IoT solutions can reduce lead times, optimize resource utilization, and meet the demand for tailored products, positioning themselves for success in today's dynamic manufacturing landscape.
Segmental Insights
Component Insights
The software segment emerged as the dominant segment in the United States IoT in Manufacturing Market, and it is expected to maintain its dominance throughout the forecast period. The software component of IoT in manufacturing encompasses a wide range of applications, including data analytics, cloud platforms, connectivity solutions, and industrial IoT (IIoT) platforms. Manufacturers are increasingly recognizing the value of data-driven insights, real-time monitoring, and process optimization offered by IoT software solutions. These software applications enable manufacturers to collect, process, and analyze data from IoT sensors and devices, providing actionable information to enhance operational efficiency, predictive maintenance, and decision-making. As the adoption of IoT in manufacturing continues to expand, there is a growing need for customizable and scalable software solutions that can be tailored to the specific requirements of different manufacturing processes and industries. This flexibility and adaptability make software a critical component in IoT implementations. As the IoT landscape evolves, software developers and solution providers are continuously innovating to offer more advanced and sophisticated software applications, which further solidifies the dominance of the software segment in the United States IoT in Manufacturing Market. This trend is expected to persist during the forecast period as more manufacturers recognize the transformative potential of IoT software in optimizing their operations, reducing costs, and staying competitive in the rapidly evolving manufacturing sector.
Regional Insights
The Midwest region of the United States emerged as the dominant region in the IoT in Manufacturing Market and is expected to maintain its dominance during the forecast period. The Midwest has historically been a manufacturing powerhouse, housing a significant portion of the country's industrial facilities, automotive manufacturing plants, and a wide range of other production centers. This region's strong manufacturing heritage, along with a growing focus on modernization and technology adoption, has made it a key driver of IoT implementation in the manufacturing sector. The Midwest's central geographic location offers strategic advantages in terms of supply chain logistics and connectivity, further promoting the adoption of IoT solutions for efficient and responsive manufacturing operations. With the presence of established manufacturers and a skilled workforce, the Midwest has the infrastructure and expertise to leverage IoT technologies effectively. The region's manufacturing diversity, spanning automotive, aerospace, food and beverage, and machinery industries, among others, has driven the adoption of IoT across various manufacturing verticals. As manufacturers in the Midwest continue to invest in digital transformation and Industry 4.0 initiatives to enhance productivity and maintain their competitive edge, the dominance of the Midwest in the United States IoT in Manufacturing Market is expected to persist throughout the forecast period.
Key Market Players
- IBM Corporation
- Cisco Systems, Inc.
- Microsoft Corporation
- Intel Corporation
- Siemens Corporation
- General Electric Company
- Honeywell International Inc.
- Schneider Electric SE
- Rockwell Automation, Inc.
- PTC Inc.
In this report, the United States IoT in Manufacturing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- United States IoT in Manufacturing Market, By Component:
- Software
- Services
- United States IoT in Manufacturing Market, By Application:
- Predictive Maintenance
- Asset Performance Management
- Quality Management
- Cognitive Process & Operations Management
- Supply Chain Management
- Others
- United States IoT in Manufacturing Market, By Region:
- South US
- Midwest US
- North-East US
- West US
Company Profiles: Detailed analysis of the major companies present in the United States IoT in Manufacturing Market.
Available Customizations:
United States IoT in Manufacturing Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. SERVICE OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1.Markets Covered
1.2.2.Years Considered for Study
1.2.3.Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1.Secondary Research
2.5.2.Primary Research
2.6. Approach for the Market Study
2.6.1.The Bottom-Up Approach
2.6.2.The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1.Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON UNITED STATES IOT IN MANUFACTURING MARKET
5. VOICE OF CUSTOMER
6. UNITED STATES IOT IN MANUFACTURING MARKET OVERVIEW
7. UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1.By Value
7.2. Market Share & Forecast
7.2.1.By Component (Software, Services)
7.2.2.By Application (Predictive Maintenance, Asset Performance Management, Quality Management, Cognitive Process & Operations Management, Supply Chain Management, Others)
7.2.3.By Region (South, Midwest, North-East, West)
7.3. By Company (2023)
7.4. Market Map
8. SOUTH UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1.By Value
8.2. Market Share & Forecast
8.2.1.By Component
8.2.2.By Application
9. MIDWEST UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1.By Value
9.2. Market Share & Forecast
9.2.1.By Component
9.2.2.By Application
10. NORTH-EAST UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Application
11. WEST UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Application
12. MARKET DYNAMICS
12.1. Drivers
12.2. Challenges
13. MARKET TRENDS AND DEVELOPMENTS
14. COMPANY PROFILES
14.1. IBM Corporation
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel/Key Contact Person
14.1.5. Key Product/Services Offered
14.2. Cisco Systems, Inc.
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel/Key Contact Person
14.2.5. Key Product/Services Offered
14.3. Microsoft Corporation
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel/Key Contact Person
14.3.5. Key Product/Services Offered
14.4. Intel Corporation
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel/Key Contact Person
14.4.5. Key Product/Services Offered
14.5. Siemens Corporation
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel/Key Contact Person
14.5.5. Key Product/Services Offered
14.6. General Electric Company
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel/Key Contact Person
14.6.5. Key Product/Services Offered
14.7. Honeywell International Inc.
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel/Key Contact Person
14.7.5. Key Product/Services Offered
14.8. Schneider Electric SE
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel/Key Contact Person
14.8.5. Key Product/Services Offered
14.9. Rockwell Automation, Inc.
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel/Key Contact Person
14.9.5. Key Product/Services Offered
14.10. PTC Inc.
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel/Key Contact Person
14.10.5. Key Product/Services Offered
15. STRATEGIC RECOMMENDATIONS
16. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1.Markets Covered
1.2.2.Years Considered for Study
1.2.3.Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1.Secondary Research
2.5.2.Primary Research
2.6. Approach for the Market Study
2.6.1.The Bottom-Up Approach
2.6.2.The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1.Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON UNITED STATES IOT IN MANUFACTURING MARKET
5. VOICE OF CUSTOMER
6. UNITED STATES IOT IN MANUFACTURING MARKET OVERVIEW
7. UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1.By Value
7.2. Market Share & Forecast
7.2.1.By Component (Software, Services)
7.2.2.By Application (Predictive Maintenance, Asset Performance Management, Quality Management, Cognitive Process & Operations Management, Supply Chain Management, Others)
7.2.3.By Region (South, Midwest, North-East, West)
7.3. By Company (2023)
7.4. Market Map
8. SOUTH UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1.By Value
8.2. Market Share & Forecast
8.2.1.By Component
8.2.2.By Application
9. MIDWEST UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1.By Value
9.2. Market Share & Forecast
9.2.1.By Component
9.2.2.By Application
10. NORTH-EAST UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Application
11. WEST UNITED STATES IOT IN MANUFACTURING MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Application
12. MARKET DYNAMICS
12.1. Drivers
12.2. Challenges
13. MARKET TRENDS AND DEVELOPMENTS
14. COMPANY PROFILES
14.1. IBM Corporation
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel/Key Contact Person
14.1.5. Key Product/Services Offered
14.2. Cisco Systems, Inc.
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel/Key Contact Person
14.2.5. Key Product/Services Offered
14.3. Microsoft Corporation
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel/Key Contact Person
14.3.5. Key Product/Services Offered
14.4. Intel Corporation
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel/Key Contact Person
14.4.5. Key Product/Services Offered
14.5. Siemens Corporation
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel/Key Contact Person
14.5.5. Key Product/Services Offered
14.6. General Electric Company
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel/Key Contact Person
14.6.5. Key Product/Services Offered
14.7. Honeywell International Inc.
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel/Key Contact Person
14.7.5. Key Product/Services Offered
14.8. Schneider Electric SE
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel/Key Contact Person
14.8.5. Key Product/Services Offered
14.9. Rockwell Automation, Inc.
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel/Key Contact Person
14.9.5. Key Product/Services Offered
14.10. PTC Inc.
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel/Key Contact Person
14.10.5. Key Product/Services Offered
15. STRATEGIC RECOMMENDATIONS
16. ABOUT US & DISCLAIMER
