IoT in Manufacturing Market By Solution Type (IoT Platforms, IoT Sensors, IoT Connectivity Solutions, IoT Security Solutions), By Service Type (Managed Services, Professional Services, Integration Services, Consulting Services), By Technology (Cloud-based IoT, Edge Computing, Artificial Intelligence & Machine Learning, 5G Integration), By Application (Predictive Maintenance, Quality Control & Automation, Asset & Inventory Management, Process Optimization, Supply Chain Management), By End-User Industry (Automotive, Electronics, Aerospace & Defense, Industrial Equipment Manufacturing, Food & Beverage), By Deployment Type (On-premise IoT Solutions, Cloud-based IoT Solutions), and By Region; Global Insights & Forecast (2023 – 2030)

As per Intent Market Research, the IoT in Manufacturing Market was valued at USD 46.7 Billion in 2024-e and will surpass USD 114.2 Billion by 2030; growing at a CAGR of 13.6% during 2025-2030.

The IoT in manufacturing market has experienced significant growth in recent years, driven by the increasing adoption of Industry 4.0 technologies and the shift toward smart manufacturing. The integration of the Internet of Things (IoT) within manufacturing operations enables real-time data exchange, monitoring, and control, which enhances operational efficiency, reduces downtime, and improves product quality. As industries strive for greater automation and digitalization, IoT applications in manufacturing continue to expand, including predictive maintenance, process optimization, and inventory management. With the advent of smart factories, connected devices, and AI-powered analytics, the IoT in manufacturing market is expected to grow at a robust pace through the forecast period.

The market is highly diverse, with several key segments driving growth across different areas. From IoT platforms and sensors to cloud-based and edge computing solutions, various technologies and service models play a crucial role in transforming traditional manufacturing processes. Companies are increasingly focusing on deploying IoT solutions to streamline operations, minimize costs, and maintain competitive advantage. The growing emphasis on sustainability and the need for data-driven decision-making further contribute to the rapid adoption of IoT in manufacturing. As such, the IoT in manufacturing market is poised to continue evolving, bringing new opportunities and challenges for businesses across the globe.

IoT Platforms Segment Is Largest Owing to Growing Demand for End-to-End Solutions

The IoT platforms segment holds the largest share in the IoT in manufacturing market. These platforms serve as essential tools for integrating and managing IoT devices across various manufacturing environments. They provide manufacturers with a centralized system to monitor, analyze, and optimize operations in real time, making them invaluable for managing the complexities of connected devices and data streams. As smart manufacturing continues to expand, the demand for IoT platforms has surged, as they offer a comprehensive suite of tools for data collection, analysis, and decision-making.

The rise in the adoption of IoT platforms can be attributed to their ability to offer end-to-end solutions, simplifying the deployment of IoT technologies across factories. These platforms support real-time data analytics, predictive maintenance, and supply chain visibility, enhancing operational efficiency and reducing costs. Major players like Microsoft, IBM, and Siemens have developed highly scalable IoT platforms that integrate seamlessly with existing manufacturing systems, further driving market growth. As the IoT ecosystem matures, IoT platforms are expected to continue being the largest subsegment due to their broad applicability and significant role in facilitating Industry 4.0 advancements.

IoT in Manufacturing Market Size

IoT Sensors Segment Is Fastest Growing Due to Increasing Need for Real-Time Data

The IoT sensors segment is the fastest-growing subsegment within the IoT in manufacturing market, driven by the increasing demand for real-time data collection and analysis. Sensors are vital components in IoT systems as they gather data from machines, products, and environmental conditions, which is crucial for making informed decisions in manufacturing processes. As manufacturers move toward automation, the need for reliable, accurate, and continuous data capture has surged, fueling growth in the IoT sensors market.

Temperature, vibration, and pressure sensors are among the most widely used in manufacturing, particularly for predictive maintenance applications. These sensors enable manufacturers to detect early signs of equipment malfunction, preventing costly downtime and extending machinery life. With advancements in sensor technology, the data collected is becoming increasingly accurate and detailed, further driving the growth of this subsegment. As industries increasingly rely on IoT for monitoring and controlling manufacturing processes, the demand for IoT sensors is expected to continue expanding at a rapid pace, making it the fastest-growing subsegment in the market.

Managed Services Segment Is Largest Due to Complex IoT Implementation Needs

In the service type category, managed services is the largest subsegment, as the complexity of IoT deployments in manufacturing requires ongoing system management and support. Manufacturers face challenges in implementing and maintaining IoT systems due to the complexity of integrating multiple devices, sensors, and software platforms. Managed services provide an effective solution by allowing businesses to outsource the management and operation of their IoT infrastructure to specialized providers, ensuring that systems run smoothly and securely.

The growing reliance on IoT in manufacturing, along with the increasing scale and complexity of IoT deployments, has made managed services a preferred choice for many companies. These services typically include system monitoring, network management, security, and troubleshooting, offering manufacturers the peace of mind that their IoT solutions are operating at optimal efficiency. As the demand for IoT solutions continues to rise, the managed services subsegment is expected to maintain its dominance, especially as more manufacturers look to focus on their core operations while leaving the intricacies of IoT management to external experts.

Edge Computing Segment Is Fastest Growing Due to Low Latency Requirements

Edge computing is the fastest-growing technology within the IoT in manufacturing market, driven by the need for low-latency data processing and real-time decision-making. Traditional cloud-based IoT solutions rely on transmitting data to remote servers for processing, which can introduce delays that are unacceptable in environments requiring immediate action, such as predictive maintenance or process optimization. Edge computing addresses this challenge by processing data closer to the source, reducing latency and enabling real-time analytics.

The growing adoption of edge computing in manufacturing is driven by the increasing need for autonomous systems, faster response times, and more localized decision-making. This technology enables manufacturers to reduce dependency on centralized cloud infrastructure, allowing for more efficient use of bandwidth and improved security. As the volume of data generated by IoT devices continues to increase, edge computing is becoming a critical enabler of real-time IoT applications in manufacturing. With its ability to handle data processing locally, edge computing is set to continue its rapid growth, particularly in applications like predictive maintenance and quality control.

Predictive Maintenance Application Is Largest Due to Cost Savings and Operational Efficiency

Predictive maintenance remains the largest application of IoT in manufacturing, as it helps companies reduce maintenance costs, minimize downtime, and extend the lifespan of machinery. By leveraging IoT sensors and advanced analytics, predictive maintenance enables manufacturers to detect potential equipment failures before they occur. This proactive approach allows companies to perform maintenance only when necessary, avoiding unnecessary maintenance costs and ensuring that machinery operates at peak efficiency.

The widespread adoption of predictive maintenance is largely driven by its ability to reduce unplanned downtime, which can be particularly costly in industries with high levels of automation, such as automotive and aerospace. As manufacturers continue to embrace Industry 4.0 and the benefits of connected devices, predictive maintenance applications will continue to expand, making it the largest subsegment in the market. The growing availability of AI and machine learning technologies further enhances the capabilities of predictive maintenance, allowing for more accurate predictions and more effective management of factory assets.

Automotive End-User Industry Is Largest Due to Extensive IoT Adoption

The automotive industry remains the largest end-user of IoT in manufacturing, owing to its extensive adoption of smart manufacturing technologies. Automotive manufacturers have long been leaders in adopting automation and advanced technologies, and the integration of IoT has further accelerated production processes, improved quality control, and optimized supply chains. IoT solutions play a critical role in connecting production lines, monitoring equipment, and enhancing vehicle design through smart features.

The automotive sector's commitment to digital transformation has made it a driving force in the IoT in manufacturing market. Major automotive manufacturers like Toyota, General Motors, and Ford are implementing IoT solutions for predictive maintenance, supply chain optimization, and real-time production monitoring. The demand for connected vehicles and the push toward electric and autonomous vehicles further contributes to the growth of IoT applications in the automotive industry. As these trends continue, the automotive sector will remain the largest end-user industry for IoT in manufacturing.

Cloud-based IoT Solutions Are Largest Due to Scalability and Flexibility

Cloud-based IoT solutions are the largest deployment type in the IoT in manufacturing market, offering scalability, flexibility, and cost-efficiency. Cloud solutions enable manufacturers to store, process, and analyze massive amounts of data generated by IoT devices without the need for on-premise infrastructure. This reduces the capital expenditure required for IoT deployments and allows companies to scale their operations as needed.

Cloud-based solutions are particularly popular due to their ability to provide centralized management, seamless integration, and the ability to analyze data from various sources in real time. Leading cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are playing a pivotal role in driving the adoption of cloud-based IoT solutions in manufacturing. As more companies shift toward cloud infrastructure for their IoT needs, the demand for cloud-based solutions will continue to grow, making it the largest deployment type in the market.

North America Region Is Largest Due to Early Adoption and Technological Advancements

North America remains the largest region in the IoT in manufacturing market, thanks to early adoption of advanced technologies and a robust industrial ecosystem. The United States, in particular, has been a leader in embracing smart manufacturing solutions, driven by both technological advancements and the presence of major players in the IoT and manufacturing sectors. The region's strong infrastructure, supportive government policies, and investments in Industry 4.0 technologies have helped position North America as the global leader in IoT adoption for manufacturing.

With the presence of technology giants such as IBM, Microsoft, and Cisco, as well as industrial leaders like General Electric and Rockwell Automation, North America continues to lead in the deployment of IoT solutions across manufacturing industries. The region's focus on innovation, digital transformation, and improving operational efficiency will ensure its continued dominance in the IoT in manufacturing market.

IoT in Manufacturing Market Size by Region 2030

Leading Companies and Competitive Landscape

The competitive landscape in the IoT in manufacturing market is shaped by several leading global companies that provide a broad spectrum of IoT solutions. Major players such as Siemens, General Electric, IBM, Honeywell, and Microsoft dominate the market, offering end-to-end solutions that integrate IoT platforms, sensors, and data analytics for smart manufacturing. These companies are investing heavily in research and development to enhance their offerings, particularly in predictive maintenance, real-time monitoring, and process optimization.

In addition to the established players, newer entrants and startups are contributing to the market’s growth, particularly in niche areas like edge computing and AI-driven analytics. The competitive landscape is dynamic, with companies seeking strategic partnerships, acquisitions, and technological innovations to expand their IoT portfolios. As the market continues to evolve, these companies are focusing on delivering customized solutions and improving their IoT offerings to maintain a competitive edge in the rapidly expanding market.

List of Leading Companies:

Recent Developments:

  • Siemens AG launched its new Industrial IoT platform, which integrates AI-driven analytics to optimize manufacturing processes and reduce downtime.
  • Honeywell International Inc. announced a strategic partnership with Microsoft to accelerate digital transformation in manufacturing through IoT and cloud solutions.
  • Schneider Electric introduced a next-gen IoT-powered energy management system to improve operational efficiency in manufacturing plants.
  • General Electric completed an acquisition of a leading industrial IoT software company to enhance its Industrial Internet of Things capabilities.
  • PTC Inc. launched a new version of its ThingWorx IoT platform, offering improved real-time monitoring and predictive analytics for manufacturing operations.

Report Scope:

Report Features

Description

Market Size (2024-e)

USD 46.7 Billion

Forecasted Value (2030)

USD 114.2 Billion

CAGR (2025 – 2030)

13.6%

Base Year for Estimation

2024-e

Historic Year

2023

Forecast Period

2025 – 2030

Report Coverage

Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments

Segments Covered

IoT in Manufacturing Market By Solution Type (IoT Platforms, IoT Sensors, IoT Connectivity Solutions, IoT Security Solutions), By Service Type (Managed Services, Professional Services, Integration Services, Consulting Services), By Technology (Cloud-based IoT, Edge Computing, Artificial Intelligence & Machine Learning, 5G Integration), By Application (Predictive Maintenance, Quality Control & Automation, Asset & Inventory Management, Process Optimization, Supply Chain Management), By End-User Industry (Automotive, Electronics, Aerospace & Defense, Industrial Equipment Manufacturing, Food & Beverage), By Deployment Type (On-premise IoT Solutions, Cloud-based IoT Solutions)

Regional Analysis

North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa)

Major Companies

General Electric (GE), Siemens AG, IBM Corporation, Cisco Systems, Honeywell International Inc., Microsoft Corporation, Bosch Group, Intel Corporation, Rockwell Automation, Schneider Electric, PTC Inc., SAP SE, ABB Group, Qualcomm Technologies, Ericsson AB

Customization Scope

Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements

1. Introduction

   1.1. Market Definition

   1.2. Scope of the Study

   1.3. Research Assumptions

   1.4. Study Limitations

2. Research Methodology

   2.1. Research Approach

      2.1.1. Top-Down Method

      2.1.2. Bottom-Up Method

      2.1.3. Factor Impact Analysis

  2.2. Insights & Data Collection Process

      2.2.1. Secondary Research

      2.2.2. Primary Research

   2.3. Data Mining Process

      2.3.1. Data Analysis

      2.3.2. Data Validation and Revalidation

      2.3.3. Data Triangulation

3. Executive Summary

   3.1. Major Markets & Segments

   3.2. Highest Growing Regions and Respective Countries

   3.3. Impact of Growth Drivers & Inhibitors

   3.4. Regulatory Overview by Country

4. IoT in Manufacturing Market, by Solution Type (Market Size & Forecast: USD Million, 2023 – 2030)

   4.1. IoT Platforms

   4.2. IoT Sensors

   4.3. IoT Connectivity Solutions

   4.4. IoT Security Solutions

5. IoT in Manufacturing Market, by Service Type (Market Size & Forecast: USD Million, 2023 – 2030)

   5.1. Managed Services

   5.2. Professional Services

   5.3. Integration Services

   5.4. Consulting Services

6. IoT in Manufacturing Market, by Technology (Market Size & Forecast: USD Million, 2023 – 2030)

   6.1. Cloud-based IoT

   6.2. Edge Computing

   6.3. Artificial Intelligence & Machine Learning

   6.4. 5G Integration

7. IoT in Manufacturing Market, by Application (Market Size & Forecast: USD Million, 2023 – 2030)

   7.1. Predictive Maintenance

   7.2. Quality Control & Automation

   7.3. Asset & Inventory Management

   7.4. Process Optimization

   7.5. Supply Chain Management

8. IoT in Manufacturing Market, by End-User Industry (Market Size & Forecast: USD Million, 2023 – 2030)

   8.1. Automotive

   8.2. Electronics

   8.3. Aerospace & Defense

   8.4. Industrial Equipment Manufacturing

   8.5. Food & Beverage

9. IoT in Manufacturing Market, by Deployment Type (Market Size & Forecast: USD Million, 2023 – 2030)

   9.1. On-premise IoT Solutions

   9.2. Cloud-based IoT Solutions

10. Regional Analysis (Market Size & Forecast: USD Million, 2023 – 2030)

   10.1. Regional Overview

   10.2. North America

      10.2.1. Regional Trends & Growth Drivers

      10.2.2. Barriers & Challenges

      10.2.3. Opportunities

      10.2.4. Factor Impact Analysis

      10.2.5. Technology Trends

      10.2.6. North America IoT in Manufacturing Market, by Solution Type

      10.2.7. North America IoT in Manufacturing Market, by Service Type

      10.2.8. North America IoT in Manufacturing Market, by Technology

      10.2.9. North America IoT in Manufacturing Market, by Application

      10.2.10. North America IoT in Manufacturing Market, by End-User Industry

      10.2.11. North America IoT in Manufacturing Market, by Deployment Type

      10.2.12. By Country

         10.2.12.1. US

               10.2.12.1.1. US IoT in Manufacturing Market, by Solution Type

               10.2.12.1.2. US IoT in Manufacturing Market, by Service Type

               10.2.12.1.3. US IoT in Manufacturing Market, by Technology

               10.2.12.1.4. US IoT in Manufacturing Market, by Application

               10.2.12.1.5. US IoT in Manufacturing Market, by End-User Industry

               10.2.12.1.6. US IoT in Manufacturing Market, by Deployment Type

         10.2.12.2. Canada

         10.2.12.3. Mexico

    *Similar segmentation will be provided for each region and country

   10.3. Europe

   10.4. Asia-Pacific

   10.5. Latin America

   10.6. Middle East & Africa

11. Competitive Landscape

   11.1. Overview of the Key Players

   11.2. Competitive Ecosystem

      11.2.1. Level of Fragmentation

      11.2.2. Market Consolidation

      11.2.3. Product Innovation

   11.3. Company Share Analysis

   11.4. Company Benchmarking Matrix

      11.4.1. Strategic Overview

      11.4.2. Product Innovations

   11.5. Start-up Ecosystem

   11.6. Strategic Competitive Insights/ Customer Imperatives

   11.7. ESG Matrix/ Sustainability Matrix

   11.8. Manufacturing Network

      11.8.1. Locations

      11.8.2. Supply Chain and Logistics

      11.8.3. Product Flexibility/Customization

      11.8.4. Digital Transformation and Connectivity

      11.8.5. Environmental and Regulatory Compliance

   11.9. Technology Readiness Level Matrix

   11.10. Technology Maturity Curve

   11.11. Buying Criteria

12. Company Profiles

   12.1. General Electric (GE)

      12.1.1. Company Overview

      12.1.2. Company Financials

      12.1.3. Product/Service Portfolio

      12.1.4. Recent Developments

      12.1.5. IMR Analysis

    *Similar information will be provided for other companies 

   12.2. Siemens AG

   12.3. IBM Corporation

   12.4. Cisco Systems

   12.5. Honeywell International Inc.

   12.6. Microsoft Corporation

   12.7. Bosch Group

   12.8. Intel Corporation

   12.9. Rockwell Automation

   12.10. Schneider Electric

   12.11. PTC Inc.

   12.12. SAP SE

   12.13. ABB Group

   12.14. Qualcomm Technologies

   12.15. Ericsson AB

13. Appendix

 

A comprehensive market research approach was employed to gather and analyze data on the IoT in Manufacturing Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the IoT in Manufacturing Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach - IoT in Manufacturing Market

Secondary Research

Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.

Primary Research

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the IoT in Manufacturing Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down - IoT in Manufacturing Market

Data Triangulation

To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.

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