internet of things case study example

• There are no suggestions because the search field is empty.

SUGGESTED CONTENT:

Book a Demo of MachineMetrics

See the Platform in Action [Video]

Learn How to Run a Downtime Analysis

Machinemetrics blog, machinemetrics unveils revolutionary automated schedule..., how manufacturing production scheduling software tackles an..., the challenges of manufacturing scheduling and how modern..., a definitive guide to manufacturing execution systems (mes).

Ready to empower your shop floor?

• MachineMetrics
• Product Updates
• Data Science
• Lean Manufacturing

Machine Monitoring

IoT in Manufacturing: Top Use Cases and Case Studies

Updated May 17, 2021

Within this article, we’ll be discussing practical IoT applications in manufacturing and use cases of industrial IoT technology in manufacturing

What is IoT?

What is iiot, the benefits of iot in manufacturing.

IoT represents a digital transformation in manufacturing processes and business operations. Using it alongside an advanced machine data platform can be transformational. And there are many benefits of IoT in manufacturing:

Process Optimization

Inventory Management

Predictive Maintenance

IoT in Manufacturing Use Cases [+Case Studies]

Remote monitoring.

Learn more about remote monitoring for machine builders and OEMs.

Supply Chain Management and Optimization

• Real-time tracking of assets and products
• Automation of warehouse tasks
• Digitized paperwork management
• Forecasting accuracy improvement
• Greater control of inventory

Digital Twins

Real-Time Machine Monitoring

Production visibility.

Integrating Systems

Compiling kpis.

Asset Utilization

Difficulties of Adopting IoT in Manufactur ing

1. large investments are required and the roi is questionable, 2. concerns about data security, 3. employees who aren’t qualified, 4. integration with operational technology and older systems, how to use iot and machine data for remote operations, boosting your operational efficiency with iiot, subscribe to our mailing list, related posts, read the latest.

Lists by Topic

• MachineMetrics (386)
• Lean Manufacturing (72)
• Industry 4.0 (50)
• Manufacturing data (23)
• Manufacturing News (20)
• Data Science (15)
• data collection (14)
• Product Updates (12)
• Connected Factory (10)
• Machine Monitoring (10)
• manufacturing analytics (10)
• Smart Manufacturing (9)
• industrial iot (9)
• CNC Machines (8)
• Productivity (8)
• Downtime (7)
• Industrial Automation (7)
• Tool Monitoring (7)
• Big Data (6)
• Data Visualisation (5)
• Edge Computing (5)
• Maintenance (5)
• Process Optimization (5)
• Shop Floor (5)
• digital manufacturing (5)
• Automotive (4)
• Death of MES (4)
• MES software (4)
• Machine Learning (4)
• Quality Assurance (4)
• Aerospace and Defense (3)
• Contract Manufacturing (3)
• Data Cleaning (3)
• Heavy Machinery Manufacturing (3)
• Medical Device Manufacturing (3)
• OEE Software (3)
• Oil and Gas Manufacturing (3)
• Production Scheduling (3)
• capacity (3)
• continuous improvement (3)
• inustrial IOT (3)
• press release (3)
• preventative maintenance (3)
• security (3)
• 8 wastes (2)
• Condition Monitoring (2)
• Dashboards (2)
• Internet of things (2)
• Production Monitoring (2)
• Strategic Partnerships (2)
• management (2)
• real-time analytics (2)
• Digital Transformation (1)
• Downtime Categorization (1)
• FANUC FOCAS (1)
• Line Balancing (1)
• Machine Tool Distributors (1)
• Machinery (1)
• Manufacturing Innovation (1)
• Quality Control (1)
• Supply Chain (1)
• Turnkey contracts (1)
• coaching (1)
• elon musk (1)
• employee engagement (1)
• link roundup (1)
• manufacturing (1)
• manufacturing software (1)
• networks (1)
• release notes (1)

844-822-0664

[email protected]

Easthampton Office

116 Pleasant St, Suite 316, Easthampton, MA 01027

Edge Platform

Cloud Platform

APIs & Applications

Industrial IoT Platform

Production Monitoring

Condition Monitoring

For Machine Builders and Distributors

For Developers

Production Schedule Intelligence

Aerospace & Defense

Contract Manufacturers

Heavy Machinery

Medical devices

Oil & Gas

Precision Metalworking

ERP Integration

Metal Stamping & Fabrication

Tool, Die & Mold CNC

ROI Calculator

Waste Calculator

Connectivity Hub

Partner Program

Privacy Policy

Data Processing Addendum

Service Level Agreement

Website Terms

• +49 (0) 40 639 118 91
• info(at)iot-analytics.com
• Contact Form

• The top 10 IoT use cases
• IoT initiatives appear more successful than ever, as 92% of enterprises report positive ROI from IoT use case implementations, according to IoT Analytics’ 418-page IoT Use Case Adoption Report 2024 .
• The number of IoT use cases being adopted by enterprises grew 53% between 2021 and 2024.
• Complexities related to IoT use case adoption appear to be easing somewhat, which appears to be fueling the adoption growth and ROI.
• Enterprise IoT use case investments continue to grow in 2024, but at a slower pace than in previous years.
• IoT Analytics presents the top 10 IoT use cases, with process automation as the #1 adopted IoT use case.

Why it matters?

• For IoT vendors: With the success of IoT initiatives and the growing adoption rate, IoT vendors can learn about what use cases end users are adopting and tailor their offerings.
• For IoT adopters: Adopting IoT use cases has shown ROI, in many cases, within two years. IoT can help adopters streamline their operations and support digitalization efforts.

Status of IoT initiatives in 2024: More successful than ever before

Over 90% of IoT use case projects have positive ROI. For years, IoT Analytics has been unable to validate common claims that most IoT projects are unsuccessful, such as the following:

• Cisco Survey Reveals Close to Three-Fourths of IoT Projects Are Failing
• It’s the last IT/OT mile that matters in avoiding Industry 4.0’s pilot purgatory
• Why has the Internet of Things failed?

According to IoT Analytics’ research found in the 418-page IoT Use Case Adoption Report 2024 (published July 2024)—which is based on a survey of 200 end users of IoT applications and analyzes 27 IoT use cases—91.7% of organizations have seen ROI from the different IoT use cases they adopted, a 13-percentage-point climb from similar IoT Analytics research in 2021. Further, compared to 2021, 53% more IoT use cases are being adopted by organizations (either in the process of rolling out a use case or have already completed a project), signaling a healthy state of IoT .

IoT project complexity has reduced. In 2021, many respondents to a similar IoT use case survey noted the need for proofs of concept and testing since IoT projects and their technical setups can be complex. However, in 2024, the complexities of usage and onboarding/setup of IoT use case projects ranked 5th and 6th, respectively, in terms of challenges. In IoT Analytics’ opinion, this drop in perceived complexity appears to largely fuel the strong growth in IoT use case adoption.

Restrained IoT spending growth in 2024. 51% of respondents say that their organizations plan to increase their spending in IoT use cases in 2024 compared to 2023; however, they plan to do so by a lower amount than the previous year. According to IoT Analytics’ IoT Software Adoption Report 2023 , companies increased their IoT use case spending, on average, by 8.4% in 2023, while in 2024, respondents stated their companies’ budgets for IoT use cases were increasing 2% on average.

Additional insights from the IoT Use Case Adoption Report 2024 22% of respondents are planning to increase investment in IoT use cases by more than 10% in 2024 (vs. the previous year). In 2021 (for 2022), that share was at 29%, constituting a 7-percentage-point decrease.

Note:   The report looks at IoT use cases that apply to most organizations and does not consider industry-specific use cases such as smart heating, ventilation, and air conditioning (HVAC) (applicable only to buildings) or smart transportation systems (applicable to cities).

The 10 most adopted IoT use cases

Most IoT use cases serve smart operations . The top 10 IoT use cases in 2024 have changed quite a bit since 2021; however, the distribution of use cases by category within the top 10 remains the same: 6 smart operations use cases, 3 smart supply chain use cases, and 1 connected product use case.

Below are the top 10 use cases in 2024, including how IoT Analytics defines them and which organizational KPIs are most affected by each. Also provided are select quotes and implementation examples for some of the use cases from the report.

Note : Each use case and definition below is based on IoT applications—some terms may have broader definitions outside of IoT.

1. Process automation

Process automation definition (by IoT Analytics) The integration of IoT to automate routine processes, enhancing productivity and accuracy

Nearly 3/5 of organizations have adopted process automation. Leading as the most adopted IoT use case at 57.5% of organizations is process automation. This is a stark rise from the 33% adoption rate seen in the 2021 IoT use case report, where it was the second-ranked use case.

Process automation enables companies to streamline and automate processes by integrating interconnected devices and sensors with both new and legacy equipment, such as PLCs and IPCs. This use case helps to reduce the need for manual intervention, increasing efficiency, minimizing errors, and enhancing safety. Technologies such as IoT sensors and edge computing play a crucial role in enabling real-time data collection, analysis, and decision-making. By incorporating IoT into existing systems, companies can optimize workflows, improve production quality, and implement predictive maintenance.

Most important KPI affected

The top KPI affected by process automation is labor efficiency. On average, a major rollout of this use case improves labor efficiency by 8.2%.

Implementation example

When Burnley Brewing , an Australia-based craft brewery, approached its maximum capacity as demand for its beverages grew, it decided to expand. In doing so, it decided also to include automation in its processes . Burnley partnered with Australia-based contract electrical and engineering firm Bon Industry , which leveraged US-based industrial automation technology provider Rockwell Automation ’s FactoryTalk Craft Brew—a process management and automation system developed specifically for the brewing industry. IoT sensors, PLCs, and other action-enabling hardware were placed throughout the brewing process, all connected to FactoryTalk Craft Brew for data collection and process actioning. As a result of this solution, Burnley Brewing lessened the labor of its brewers across the brewing process, from milling and mashing grain at the beginning to controlling fermenters and conditioning tanks near the end.

2. Quality control and management

Quality control and management definition (by IoT Analytics) Integrating IoT (e.g., machine vision) to enhance quality processes

Quality control and management climbed 5 places since 2021. 55% oforganizations have adopted  IoT-based quality control and management. In 2021, this use case was 7 th in adoption at 30%, which marks a significant climb. A reason for this climb could be its quick payoff: 53% of companies that have implemented this use case reported amortization in less than 24 months.

Quality control and management allows companies to monitor critical factors like temperature, humidity, and pressure during production. This real-time data allows for immediate detection of quality deviations, enabling swift corrections to prevent defects. IoT solutions can be integrated into both new and legacy equipment, with machine learning analyzing the data to predict potential issues before they arise.

The top KPI affected by quality control and management is, no surprise, product quality. On average, a major rollout of this use case improves product quality by 4.6%.

3. Energy monitoring

Energy monitoring definition (by IoT Analytics) Integrating IoT to monitor energy consumption for individual assets

Companies plan to invest more in energy monitoring than any other smart operations use case. Adoption-wise, energy monitoring has risen to 55%—up from 20% in 2021.It is the rising star among IoT use cases, as new sustainability strategies and high electricity prices (especially in Europe) have led companies to use IoT devices and sensors to closely monitor individual assets’ energy consumption. Within the smart operations category, it has the highest expected investment increase between 2023 and 2024 at 3.5%.

The top KPI affected by energy monitoring is costs. On average, a major rollout of this use case reduced related costs by 8.1%.

4. Real-time inventory management

Real-time inventory management definition (by IoT Analytics) Utilizing IoT for tracking inventory levels in real-time to optimize stock and reduce shortages or excesses

Real-time inventory management leads smart supply chain use cases. 54% of respondents shared that their companies have either fully rolled out or are rolling out real-time inventory management. With the supply chain issues and economic uncertainty following the COVID-19 pandemic, companies have sought smarter inventory management solutions to prevent stockouts and overstocking. In fact, adoption of this use case climbed 35 percentage points between 2021 and 2024, and within the smart supply chain category, it is expected to receive the largest investment increase between 2023 and 2024 at 5.7%.

The top KPI affected by real-time inventory management is the return on equity (ROE)/return on capital employed (ROCE). On average, a major rollout of this use case improves ROE/ROCE by 8.1%.

In 2022, Tyson Foods , a US-based multinational food company, wanted to automate time-consuming manual processes like inventory counts. The company already used computer vision for many of its processes but sought to incorporate machine learning to improve operational efficiency, among other goals. Leveraging AWS ’s Panorama and SageMaker services, Tyson Foods implemented a computer vision-based, real-time inventory management system to deploy a detection model that automated chicken tray counting and identified faulty carriers. This real-time inventory management solution saved Tyson Foods an estimated 15,000 labor hours annually in each facility and helped it avoid over- or underproduction.

Additional insights from the IoT Use Case Adoption Report 2024 The report dives into the challenges companies face when implementing IoT use cases, conveyed by industry, region, and company size. Looking at the process manufacturing industry as an example, 46% of respondents, on average, marked “Integration into legacy systems” as a severe or major challenge, making it the top challenge faced by that industry. “Privacy concerns” and “IT and data security concerns” ranked as the 2nd and 3rd top concerns.

5. Supply chain track and trace

Supply chain track and trace definition (by IoT Analytics) Employing IoT for monitoring the location, condition and/or status of products and materials along the supply chain

Most adopters see fast amortization with supply chain track and trace. Riding just behind real-time inventory management is supplychain track and trace, also at a 54% adoption rate. Approximately 60% of respondents experienced amortization in less than 24 months—second of all IoT use cases in this regard.

Connected sensors, GPS devices, LPWAN, and satellite technologies—all part of IoT’s contribution to supply chain track and trace—help companies monitor and manage the movement of goods throughout their entire supply chain by providing real-time visibility into the location, condition, and status of shipments. Advanced analytics further enhance supply chain operations by predicting disruptions and optimizing routing. With this use case, companies can reduce losses, improve delivery accuracy, and enhance compliance with regulatory requirements.

The top KPI affected by supply chain track and trace is on-time delivery. On average, a major rollout of this use case improves on-time delivery by 8.5%.

Adopter quote

“The drivers drive with more foresight, the wearing parts last longer, the number of accidents goes down, the diesel consumption goes down—the stress is less.” Oliver Nocke – Fleet Manager, Roman Mayer Transport & Logistik (via Samsara )

6. Operations planning and scheduling

Operations planning and scheduling definition (by IoT Analytics) Leveraging IoT for real-time scheduling and planning to improve operational efficiency

Energy companies expect more investment in operations planning and scheduling. 53% of respondents shared that their respective companies have either rolled out or are currently rolling out operations planning and scheduling tools. Approximately 75% of companies in the energy sector are planning to increase investment in this use case in 2024, with an average increase of 5.5%.

By integrating IoT technology with planning systems, companies gain up-to-the-minute insights into production status, machine availability, and workforce capacity, allowing for dynamic adjustments to schedules, which helps reduce downtime and ensure optimal use of assets. Algorithms can further analyze the data to predict demand, identify bottlenecks, and suggest the most efficient scheduling options, resulting in improved operational efficiency and reduced lead times. Many (but not all) of the rollouts are tied to existing planning and scheduling software, such as manufacturing execution systems in the manufacturing sector, energy management systems in the energy sector, or building management systems in the buildings sector.

The top KPI affected by operations planning and scheduling is labor efficiency. On average, a major rollout of this use case improves labor efficiency by 7%.

7. On-site facility track and trace

On-site facility track and trace definition (by IoT Analytics) Employing IoT for real-time tracking and tracing of assets on a site (e.g., in a factory or warehouse)

Wholesale and retail expected to lead in on-site facility track and trace investment. Half of the organizations in the survey have adopted some form of on-site facility track and trace. Of those companies in the wholesale and retail segment that are testing or adopting this use case, 56% expect to increase investment, with an expected increase of 13% on average. Second to them are companies in the healthcare industry at 55%. On-site facility track and trace makes sense for these two segments, as tracking and locating products within a warehouse or equipment in a healthcare facility can aid in timely shipments or urgent medical needs.

The top KPI affected by on-site facility track and trace is on-time delivery. On average, a major rollout of this use case improves on-time delivery by 7.8%.

“Track and trace is a risk mitigation initiative for retailers, making it easier to identify products in the event of a recall, reducing exposure to costly lawsuits and improving overall compliance.” John Merrill – CFO, ReposiTrak , February 14, 2024

8. Asset performance optimization

Asset performance optimization definition (by IoT Analytics) Utilizing IoT to enhance operational efficiency and effectiveness of assets

Asia-Pacific companies to lead in asset performance optimization investment growth. Coming in with an adoption rate of 48% is asset performance optimization. This use case is expected to see a slight decrease in investment in 2024, with Asia-Pacific companies being the only ones foreseeing increased investment by 5% on average.

IoT for asset performance optimization is the modern version of asset performance management, which describes methods of capturing and integrating data, visualizing it, and analyzing it to improve the reliability and availability of physical assets. It combines state-of-the-art data-capture and integration tools (like IoT gateways) and software tools (like IoT platforms) to analyze how assets can operate and be maintained at optimum levels (e.g., optimized asset speed settings, optimized material input settings, or optimized maintenance intervals).

The top KPI affected by asset performance optimization is overall equipment effectiveness (OEE). On average, a major rollout of this use case improves OEE by 9.5%.

When US-based Longroad Energy acquired a 145-megawatt wind farm, it realized the turbines were not yielding as much output as expected due to incorrect setup. Longroad partnered with WindESCo , a US-based renewable energy performance analytics company, which implemented its Swarm System to acquire real-time turbine data, such as angle and energy generated. Data collected by the Swarm System are stored on a cloud server, which feeds into an analytics platform that determines the optimal angles and other turbine settings, optimizing the performance of these assets. As a result, Longroad Energy experienced a 2.5% increase in annual energy production and an annual revenue increase of $430,000.

9. Remote asset monitoring

Remote asset monitoring definition (by IoT Analytics) Utilizing IoT to monitor assets remotely in a read-only format for performance tracking

Remote asset monitoring drops from most adopted use case while seeing strong growth. Approximately 48% of respondents reported adopting remote asset monitoring, up from 34% in 2021. Interestingly, this use case was the most adopted in 2021. At that time, IoT Analytics noted that remote asset monitoring was the cheapest and easiest to set up due to its simplicity compared to other use cases. With other, more complex use cases surpassing remote asset monitoring while it grew significantly, it becomes even harder to believe that IoT is failing. Rather, companies have realized the benefits of IoT use cases and invested more in them.

The top KPI affected by remote asset monitoring is costs. On average, a major rollout of this use case reduced costs by 6.6%.

“We have millions of sensors collecting over 5 trillion rows of data that our AI models, combined with our conventional models used to monitor equipment 24 hours a day, 7 days a week, alerting engineers to anomalies from a distance.” Wael Sawan – CEO, Shell plc , February 01, 2024

10. Location tracking

Location tracking definition (by IoT Analytics) Employing IoT for real-time location tracking of products/assets/devices

Location tracking is the top connected products use case. Approximately 45% of companies in the survey have adopted location tracking. It is also the only connected product use case to make this list of top 10 IoT use cases. IoT location can be applied across various environments, including warehouses, factories, and outdoor work sites. The location data gathered from the machines or devices help companies locate their equipment and personnel, optimize routing, improve asset utilization, and enhance safety. Tracking the location of an asset can also be beneficial to both the vendor of the products (e.g., by understanding usage patterns) and to the user (e.g., by finding a lost item or by mitigating theft).

The top KPI that is affected by location tracking is revenue. On average, a major rollout of this use case improves revenue of the company selling the connected product by 1.6%.

Additional insights from the IoT Use Case Adoption Report 2024 The report shares the top KPIs that respondents’ companies use to measure the success of their IoT strategies by industry. Zooming in on the energy sector as an example, 88% of energy companies, on average, put high importance on decreasing the average time it takes to detect cybersecurity incidents.

Defining IoT

IoT Analytics defines the IoT as connected physical objects that can exchange data to or from one location to another (either directly or indirectly via gateways/hubs). These objects need to be uniquely identifiable and possess the ability to autonomously collect data about their environment. An IoT use case utilizes IoT devices.

Classifying IoT use cases

When looking at IoT use cases, IoT Analytics has four ways to classify them:

• By endpoint
• By functionality
• By application area
• By business objective

In the IoT use case adoption report, IoT Analytics used a mix of functionality and application area . For example, prediction is a functionality, and maintenance is an application area, resulting in predictive maintenance .

Grouping IoT use cases

The report covers 27 IoT use cases and groups them into three categories: Smart operations, smart supply chains, and connected products. The list of the 27 IoT use cases can be found on the report page .

Note :  This article was updated in September 2024 to include the latest market data and insights from IoT Analytics.

Article written by  Philipp Wegner  on October 13, 2021.

The 10 most adopted IoT Use Cases 2021

Six of the top 10 IoT use cases today (ranked by adoption) aim at making operations smart, thus improving companies’ production processes for manufacturing, enhancing maintenance operations, or advancing any other operations (e.g., energy generation in the case of an energy company, running healthcare operations in the case of a hospital, or running store operations in the case of a retail company). Three of the top 10 use cases are related to smart supply chains, and only one is related to smart products in the field.

Here are the 10 most adopted use cases, ranked by their adoption rate:

1. Read-only Remote Asset Monitoring

Not surprisingly, the simplest IoT use case is also the most adopted. Read-only remote asset monitoring refers to assets that are connected from afar in a read-only manner (i.e., one can visualize the asset data, but one cannot send back any commands to the asset itself). This use case is one of the easiest and cheapest to set up due to its simplicity. In many cases, remote asset monitoring supersedes the error-prone and costly manual task of checking and documenting asset states in person. Adoption in 2020 was clearly accelerated by the pandemic and is expected to grow even further, as 36% of interviewees say they plan to invest significantly in this use case in the next two years.

Adopter’s quote

“In the future, our engineers and plant operations staff will not need to sit in cars to go from their office location to another sub-station or satellite equipment room to perform daily routine activities. Routine read-only activities could be done more frequently, which could indirectly contribute to the reliability of control systems.” Senior operations manager of a mining company in Qatar

Hindustan Coca-Cola Beverages Pvt. Ltd. , located near Pune, India, adopted remote asset monitoring for its PET and can-bottling lines. T https://aiplindia.com/case-study/ he real-time and continuous monitoring of critical parameters (e.g., syrup flow rate, can-rinse pressure, and water temperature) replaced its MS Excel-based manual reporting. In this specific case, the company combined the remote connectivity of its assets with a condition-monitoring use case that generates alarms based on predefined conditions.

| Use case definition (by IoT Analytics)

Remote Asset Monitoring (read-only) = Real-time, one-way data streaming from machinery/equipment to an offsite location (e.g., cloud), making data accessible from anywhere.

2. IoT-based Process Automation

IoT-based process automation has been rolled out by 33% of companies. This type of process automation describes operational processes that were either entirely manual in the past or relied on antiquated, industrial-automation setups but have now been upgraded with state-of-the-art hardware and software. Companies that introduce this use case to upgrade their existing setups often do so to add flexibility and agility in the operations process so that specific process steps can be changed in the future. This becomes important because companies are increasingly interested in aligning their manufacturing and operations processes to ever-changing customer demands.

“Our manufacturing processes used to have many paper-based steps involved. IoT process automation has reduced many of these paper-based processes, resulting in a reduction in the number of errors, labour cost and real-time access to data.” CIO of a food and beverage manufacturer in Canada

An Australian farmer , reported he was able to use 20% less water thanks to a new IoT-based irrigation system supplied by Lindsay , a US-based manufacturer of pivot-irrigation systems. Farmers increasingly adopt smart IoT-based irrigation systems to automate the process of irrigation and thereby enhance their crop yields.

IoT-based Process Automation = The use of real-time data from connected assets to improve an entire operational process (e.g., a manufacturing process).

3. Remote Asset Monitoring and Control (read/write)

“Read/Write remote asset monitoring and control” is the extension of “Read-only remote asset monitoring.” On top of “reading” the assets data, with this setup one can also communicate back and thereby influence asset control from afar (i.e., “writing” data back).

Just like the read-only asset monitoring use case, this use case was accelerated by the COVID -19 pandemic as service teams, engineers, and other staff needed to find ways to reach an asset that needed their attention while being in a different location.

Because of the added complexity and security risk of controlling an asset, on top of just simply monitoring, this use case comes with significantly higher costs of installation and maintenance. However, it has been proven that such solutions pay off in a relatively short time: Of those decision makers whom IoT Analytics interviewed, 51% reported amortization in less than 24 months.

“Remote monitoring and control of freezers has saved costly materials before being ruined.” Research and development (R&D) manager of a manufacturing company in UK

Schlumberger , an oilfield service company, recently adopted a monitoring and control solution from Advantech and ReStream . These companies had partnered up to supply and develop a new oilfield fluid-monitoring system based on LTE connectivity. The project helped to achieve flow assurance, ensure asset integrity, and optimize production. It also helped to increase labor safety. Oilfield companies suffer from a dynamic chemical environment that, if unchecked, can lead to premature wear, lost productivity, and the release of lethal poisonous gases.

Remote Asset Monitoring and Control (read/write) = Real-time, two-way data streaming of machinery/equipment from/to an offsite location, enabling data access and the sending of commands from anywhere.

4. Vehicle Fleet Management (track/trace)

The management of vehicles in a fleet is the number one IoT supply chain use case right now. The larger the fleet of trucks (or other means of transport) to manage, the higher the complexity. Cross-border fleet management can be especially overwhelming, which is why 31% of companies have rolled out a professional vehicle fleet management solution to gather real-time information.

Today, most fleet management solutions are reliant on wide-area connectivity, such as cellular (2G, 3G, 4G). Several new, low-cost IoT satellite technologies have recently been launched and promise to add another option to this use case so that vehicle fleets are always truly connected at a reasonable price. New companies include Hiber (IoT-focused satellite network) and Starlink (part of SpaceX). Both plan to send thousands of new satellites into space in the coming years to provide low-latency, high-bandwidth connectivity globally.

“Now we know virtually in real time where our wagons are located, which routes we can optimize, and where there is potential for savings for our customers.” Suzy Verachten, project leader, Lineas (European Rail Freight Operator)

Lineas , the largest private rail freight operator in Europe, managed to increase capacity utilization of its fleet by more than 40 percent by implementing the Bosch fleet management solution.

Vehicle Fleet Management (track/trace) = Tracking and tracing the location of individual vehicles either on site while in transit or as general fleet management.

5. Location Tracking (e.g., GPS)

Not every company sells smart-connected IoT products, but of those that do, tracking the location of the asset is the number one use case (31% of companies in our interview set have adopted it). The results from this interview series are in line with results from the IoT Commercialization & Business Model Report 2020 , which found that geolocalization was also the number one use case in terms of customer adoption when original equipment manufacturers (OEMs) were asked which smart product features their end customers were adopting as part of their IoT-enabled assets. Location tracking is therefore important for developing a successful IoT business model .

Tracking the location of an asset can be beneficial to both the vendor of the products (e.g., by understanding usage patterns) and to the user (e.g., by finding a lost item or by mitigating theft).

“Connectivity means we can monitor distance covered, send service alerts, or lock the bike remotely. Things become even more interesting when we mesh this data with other transport data. If we can map the routes of thousands of cyclists, could we help urban planners develop better cycling infrastructure?” Taco Carlier, co-founder, VanMoof

VanMoof, an Amsterdam-based e-bike manufacturer, offers an anti-theft service to its customers that is based on the location tracking of a bike. For a monthly fee, the company sends its “bike hunters” if a customer’s bike is stolen. The bikes are connected and tracked by a combination of Bluetooth and cellular networks. This allows the company to keep its promise of recovering the bike in up to 70% of cases.

Location Tracking (e.g., GPS) = Tracking product location to determine its movement and geographic position.

6. IoT for Asset/Plant Performance Optimization

Asset performance management (APM) is a term in manufacturing to describe methods of capturing and integrating data, visualizing it, and analyzing it to improve the reliability and availability of physical plant–floor assets. IoT for asset/plant performance optimization is the modern version of APM. It integrates state-of-the-art data-capture and integration tools (like IoT gateways) and software tools (like IoT platforms) to analyze how assets can be run and maintained at optimum levels (e.g., optimized asset speed settings, optimized material input settings, or optimized maintenance intervals).

More than 30% of companies in our interview set have adopted IoT for asset/plant performance optimization. With 42% of companies planning to invest significantly in IoT for this purpose, it is among the use cases with the highest expected growth rate.

“The use of IoT for plant performance optimization has been a success since it now allows us to run our CHP power utilities at optimal levels based on variable fuel mix and plant loads for steam and power.” CEO, manufacturing: chemicals and chemical products , India

A beverage manufacturer that was running mostly older equipment used an IoT solution provided by Relayr in one of its bottling plants, which produces 1.2 million bottles per day per production line. It achieved improvements of 11% in performance and 8% in quality. Implementing an IoT retrofit kit and an IoT gateway, the company was able to identify the processes responsible for 90% of the plant’s downtime. Based on the IoT data collected from the legacy machinery of different manufacturers, the company was able to address several issues (e.g., changing the control logic of the machines).

IoT for Asset/Plant Performance Optimization = The use of real-time data from connected assets to optimize individual asset health for better operations performance at a site.

7. IoT- based Quality Control & Management

IoT-based quality control and management involves the use of machine vision or other IoT sensor data to detect quality issues in real time during operations. The use case pays off particularly quickly: Of the 30% of companies that have implemented this IoT use case, two-thirds report amortization in fewer than 24 months.

“We can now tell quickly if the environmental parameters are not quite right at some point, either within the paint shop or in one of the buffer areas. It takes a lot of data to do this, which we collect throughout the process, evaluate historically and analyse in real time” Martin Hilt, innovation and digitalization officer at BMW

A leading global automobile manufacturer automated the testing of the electronic functionality of its cars during the manufacturing process. As the company was adding greater electronic functionality to the cars to stay current with technological developments, it was looking to find ways to optimize its time-consuming, manual method of checking the operation of electronic parts. With the help of Cognizant , the company was able to completely automate vehicle testing and also implement a mixed-mode validation to simulate missing parts that would arrive late due to unforeseen supply chain issues. The solution realized a positive return on investment in four months.

IoT- based Quality Control & Management = The use of IoT sensor data or machine vision to monitor operational process parameters and detect faults (in real time) with the goal of reducing scrap/rework.

8. IoT-based goods condition monitoring in transit

Monitoring the conditions of goods is essential in industries such as pharmaceuticals or food and beverage and can even be seen as a way to help tackle the global food shortage. Temperature sensor data is one of the most important sensor values for this use case; it guarantees the safety of the final product by close monitoring throughout the entire supply chain, both in transit and in storage.

Condition-monitoring solutions were used by 29% of the interviewed decision makers as part of their digital supply chain initiatives.

“The assessment [of goods in transit] was an eye-opener, because we never looked at supply chain risk holistically before. Now we know where the risks are.” An D’haenens, logistics manager EMEA, DuPont

A global life sciences company worked with DHL to enable pallets with smart sensors. The sensors are equipped with low-power wide-area (LPWA) connectivity and track geographic location, movement, delay, shock, and temperature. This ability has enabled the life science company to reduce its life-cycle costs by 6 to 7%, with reported reliability of nearly 100%.

IoT-based goods condition monitoring in transit = The use of IoT sensor data to monitor the condition of transported goods and ensure they remain safe and are not exposed to the wrong temperatures or shocks.

9. Predictive Maintenance

To forecast the remaining useful life of assets and ensure they are repaired before they fail, 29% of all companies have invested in solutions at the intersection of artificial intelligence and maintenance. As IoT Analytics highlighted in a recent blog post, predictive maintenance (PdM) is an en vogue topic, with 40% of interviewed decision makers planning to invest significant amounts of money in the coming two years.

“PdM enabled us to actively monitor highly critical assets, provided us with multiple feeds of various data points (temp, vibration, throughput), allowed [us] to perform analysis of the asset health in real time, and helped us to prevent the need [for] reactive maintenance actions for critical assets.” IT director at an Oil&Gas company in the United States

Colgate-Palmolive Company , a US-based consumer goods manufacturer, leveraged a predictive maintenance solution to optimize its manufacturing capacity and prevent costly downtime. It installed wireless sensors on 2,000 machines (including tube makers and liquid machines) to collect machine data. The predictive maintenance solution detected increased temperatures and alerted staff, thereby preventing nearly 200 hours of downtime and a missing output of 2.8 million tubes of toothpaste.

Predictive Maintenance = The use of real-time IoT sensor data and artificial intelligence (AI) techniques to determine when maintenance should be performed on specific equipment.

10. On-Site Track and Trace

The availability of low-cost sensors and trackers has made it easy and relatively cheap to track goods and tools at construction sites, ports, and even inside buildings (e.g., factories). Of the experts interviewed, 29% have implemented such a solution. The median spending for a fully functional, on-site track-and-trace solution (in our interview set) is only $25,000—one of the lowest in the data set. Costs can scale up, however, as more and more assets get connected.

“Having On-Site Track & Trace has improved our efficiency [and] reduced labor time for tracking items (we have almost 1,000 stock-keeping units). We are now also able to check stock balances in real time.” Head of IT at a retailer in Singapore

Continental , a German automotive supplier, implemented KINEXON’S real-time locating solution at its logistics center and production site in Regensburg. More than 50 transportation vehicles and more than 3,000 load carriers are tracked live inside the 30,000 m² building sites, allowing Continental to locate each of these items within a precision of several centimeters (inches), thereby creating a transparent material flow in the supply chain and increasing overall throughput.

On-Site Track and Trace = Tracking and tracing goods while on site (e.g., at production sites, ports, logistics centers, or warehouses).

More information and further reading

Are you interested in learning more about iot use cases.

Download a sample of the full adoption report

The sample of the report gives you a holistic overview of the available analysis (outline, key slides). The sample also provides additional context on the topic and describes the methodology of the analysis.

Company email address

Company name

Country Aruba Afghanistan Angola Anguilla Åland Islands Albania Andorra United Arab Emirates Argentina Armenia American Samoa Antarctica French Southern Territories Antigua and Barbuda Australia Austria Azerbaijan Burundi Belgium Benin Bonaire, Sint Eustatius and Saba Burkina Faso Bangladesh Bulgaria Bahrain Bahamas Bosnia and Herzegovina Saint Barthélemy Belarus Belize Bermuda Bolivia, Plurinational State of Brazil Barbados Brunei Darussalam Bhutan Bouvet Island Botswana Central African Republic Canada Cocos (Keeling) Islands Switzerland Chile China Côte d'Ivoire Cameroon Congo, Democratic Republic of the Congo Cook Islands Colombia Comoros Cabo Verde Costa Rica Cuba Curaçao Christmas Island Cayman Islands Cyprus Czechia Germany Djibouti Dominica Denmark Dominican Republic Algeria Ecuador Egypt Eritrea Western Sahara Spain Estonia Ethiopia Finland Fiji Falkland Islands (Malvinas) France Faroe Islands Micronesia, Federated States of Gabon United Kingdom of Great Britain and Northern Ireland Georgia Guernsey Ghana Gibraltar Guinea Guadeloupe Gambia Guinea-Bissau Equatorial Guinea Greece Grenada Greenland Guatemala French Guiana Guam Guyana Hong Kong Heard Island and McDonald Islands Honduras Croatia Haiti Hungary Indonesia Isle of Man India British Indian Ocean Territory Ireland Iran, Islamic Republic of Iraq Iceland Israel Italy Jamaica Jersey Jordan Japan Kazakhstan Kenya Kyrgyzstan Cambodia Kiribati Saint Kitts and Nevis Korea, Republic of Kuwait Lao People's Democratic Republic Lebanon Liberia Libya Saint Lucia Liechtenstein Sri Lanka Lesotho Lithuania Luxembourg Latvia Macao Saint Martin (French part) Morocco Monaco Moldova, Republic of Madagascar Maldives Mexico Marshall Islands North Macedonia Mali Malta Myanmar Montenegro Mongolia Northern Mariana Islands Mozambique Mauritania Montserrat Martinique Mauritius Malawi Malaysia Mayotte Namibia New Caledonia Niger Norfolk Island Nigeria Nicaragua Niue Netherlands, Kingdom of the Norway Nepal Nauru New Zealand Oman Pakistan Panama Pitcairn Peru Philippines Palau Papua New Guinea Poland Puerto Rico Korea, Democratic People's Republic of Portugal Paraguay Palestine, State of French Polynesia Qatar Réunion Romania Russian Federation Rwanda Saudi Arabia Sudan Senegal Singapore South Georgia and the South Sandwich Islands Saint Helena, Ascension and Tristan da Cunha Svalbard and Jan Mayen Solomon Islands Sierra Leone El Salvador San Marino Somalia Saint Pierre and Miquelon Serbia South Sudan Sao Tome and Principe Suriname Slovakia Slovenia Sweden Eswatini Sint Maarten (Dutch part) Seychelles Syrian Arab Republic Turks and Caicos Islands Chad Togo Thailand Tajikistan Tokelau Turkmenistan Timor-Leste Tonga Trinidad and Tobago Tunisia Türkiye Tuvalu Taiwan Tanzania, United Republic of Uganda Ukraine United States Minor Outlying Islands Uruguay United States of America Uzbekistan Holy See Saint Vincent and the Grenadines Venezuela, Bolivarian Republic of Virgin Islands, British Virgin Islands, U.S. Viet Nam Vanuatu Wallis and Futuna Samoa Yemen South Africa Zambia Zimbabwe

Which specific insights are you interested in?

IMPORTANT: Please tick the box prior to sending your request. All fields are required.

I agree that IoT Analytics GmbH may process my information to contact me and notify me of future research updates in accordance with its privacy statement .

Already a subscriber? See your reports here →

The IoT Use Case Adoption Report 2024 is a 418-page report on the adoption, spending, ROI, future investments for use cases in smart operations, supply chain and connected products. Based on insights from 200 IoT adopters across various verticals, regions, company sizes

This report provides answers to the following questions (among others):

• What are the most adopted IoT use cases (out of a list of 27)?
• Which IoT use cases have the highest return on investment (ROI)?
• Which KPIs are most important for a company’s IoT strategy, and how are the KPIs affected by implementing IoT use cases?
• How much do companies spend on hardware, software, and services for individual IoT use cases?
• Which IoT use cases do companies plan to invest in the most in 2024?
• Who are the leading vendors for IoT use cases, how satisfied are end users, and what are the strengths and weaknesses of the top vendors?
• What challenges do IoT end users face when implementing use cases?
• How do companies ensure their workforce has the necessary IoT skills?
• How much are companies’ IoT strategies impacting their sustainability goals?

Related publications

You may be interested in the following publications:

• IoT Use Case Adoption Report 2024
• State of IoT Summer 2024
• IoT Startup Landscape and Database 2024
• IoT Enterprise Projects Adoption Report 2024

Related market data

You may be interested in the following IoT market data products:

• Global IoT Enterprise Spending

Related articles

You may also be interested in the following recent articles:

• State of IoT 2024: Number of connected IoT devices growing 13% to 18.8 billion globally
• IoT Startup Landscape 2024: 7 notable insights
• IoT market update: Enterprise IoT market size reached $269 billion in 2023, with growth deceleration in 2024
• Top 5 enterprise technology priorities: AI on the rise, but cybersecurity remains on top

Are you interested in continued IoT coverage and updates?

Subscribe to our  newsletter  and follow us on  LinkedIn  and  Twitter  to stay up-to-date on the latest trends shaping the IoT markets. For complete enterprise IoT coverage with access to all of IoT Analytics’ paid content & reports including dedicated analyst time check out the Enterprise subscription.

Share this with others:

Dimitris Paraskevopoulos

Iot research newsletter.

Sign up for our exclusive email updates today, and receive the latest market insights before others.

Most Recent Articles

• Benchmarking IoT mobile operator pricing: MNOs vs. MVNOs
• The top 6 paradigms shaping the factory of the future—insights from 500 manufacturers

Search the Blog

Blog categories.

• Industrial IoT
• Non-industrial IoT applications
• IoT Platforms & Software
• IoT Connectivity & Hardware
• General IoT

IoT Analytics, founded and operating out of Germany, is a leading provider of strategic IoT market insights and a trusted advisor for 1000+ corporate partners worldwide.

Learn more about how we can help you achieve your goals faster with the right data-driven insights and intelligence.

We need your consent before you can continue on our website. We use cookies and other technologies on our website. Some of them are essential, while others help us to improve this website and your experience. You can find more information about the use of your data in our privacy policy .

• External Media

Accept only essential cookies

Individual Privacy Preferences

Cookie Details Privacy Policy Legal Notice

We use cookies and other technologies on our website. Some of them are essential, while others help us to improve this website and your experience. You can find more information about the use of your data in our privacy policy . Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.

Accept all Save Accept only essential cookies

Essential cookies enable basic functions and are necessary for the proper function of the website.

Show Cookie Information Hide Cookie Information

Statistics cookies collect information anonymously. This information helps us to understand how our visitors use our website.

Marketing cookies are used by third-party advertisers or publishers to display personalized ads. They do this by tracking visitors across websites.

Content from video platforms and social media platforms is blocked by default. If External Media cookies are accepted, access to those contents no longer requires manual consent.

Privacy Policy Legal Notice

ACCELERATE YOUR CAREER

Become a certified professional enjoy a flat 25% discount on any certification program, use code bchain101.

• Join for Free

• on April 07, 2023

Top 10 Industrial IoT Case Studies

Henry Ford introduced the assembly line manufacturing approach for his car company and marked a milestone in the industrial revolution. Years later, the top IoT case studies in different industries have heralded the beginning of another industrial revolution. Industry 4.0, the moniker for the latest stage of the industrial revolution, revolves around the potential of IoT for offering new perspectives on technological development. Internet of Things technology helps in creating networks of devices and systems which can connect with each other and exchange data. IoT applications have proved useful in improving consumer-facing applications as well as organizational efficiency.

The potential of industrial IoT has attracted the attention of industry leaders as wsell as aspiring tech professionals worldwide. Beginners in the domain of IoT could utilize their understanding of IoT applications in industrial use cases to unravel more information about the power of IoT. The following post offers you an introduction to the industrial Internet of Things and its components. You can also learn about the importance of the industrial Internet of Things and top use cases in different industries.

What is Industrial IoT?

Before you dive into industrial IoT case studies , it is important to understand the fundamentals of the industrial Internet of Things. The simplest description of the industrial Internet of Things paints it as the use of IoT for the transformation of industrial processes, systems, and applications. IoT can support prolific improvements in the logistics, manufacturing, and agriculture sectors. You can find significant similarities between industrial IoT use cases and IoT in terms of optimization and automation. The facility of large networks of interconnected IoT devices, such as sensors, smart computing devices, and instruments, can empower the industrial Internet of Things. 

Industries could leverage IoT to capitalize on the benefits of data collection on a massive scale. As a result, businesses are likely to make more informed decisions based on credible and precise insights from IoT data. In addition, IoT could facilitate radical improvements in efficiency, worker safety, and productivity for industries.

Want to understand the fundamentals of the Internet of Things (IoT)? Enroll Now in IoT Fundamentals Course !  

Components of Industrial IoT

The significance of IoT for industrial use cases is evident in the power of the underlying components. You can find a wide variety of industrial IoT protocols powering up the prospects for large-scale IoT adoption in industrial use cases. What are the most crucial blocks in the architecture of the industrial Internet of Things?

Big Data Analytics

The most prominent value-based advantage of embedded IoT devices is the accessibility of real-time data at a staggering pace. Estimates suggest that the number of IoT-connected devices could increase up to 40 billion by 2025. Most of the top IoT case studies reflect on how embedded devices can help businesses leverage the power of data. 

Industries could collect all the data in the form of comprehensive visualizations through a centralized dashboard, which can reduce the manpower required for monitoring. On top of it, the combination of IoT Big Data analytics with machine learning , AI , and statistics can empower industrial decisions. 

Edge Computing 

The possibilities for integration of edge computing with IoT for industrial use cases also prove the potential of IoT. Edge computing is gaining attention with the growing demand for industrial IoT applications. It can help in the decentralization of computing resources, thereby reducing dependency on data centers and in-house facilities. Edge computing ensures lower response latency alongside the costs of operating industrial Internet of Things applications. Edge computing could reduce the amount of data subject to centralized management, thereby reducing the use of computational resources.

Want to familiarize yourself with the technology stack associated with IoT? Enroll Now in Internet Of Things (IoT) – Intermediate Level Course !  

Importance of the Industrial Internet of Things

The introduction to popular industrial IoT case studies is incomplete without an overview of the significance of the industrial Internet of Things. The adoption of industrial Internet of Things use cases worldwide has been driven by its valuable benefits. The Industrial Internet of Things can improve operational efficiency, predictive maintenance, and faster improvement cycles. Real-time monitoring of industrial facilities serves promising advantages in ensuring industrial safety and avoiding operational downtime. 

Growth of the Industrial Internet of Things

The next prominent highlight in a review of different examples of IoT case study on industrial automation sheds light on the market growth. How is the industrial Internet of Things market performing now? What is the future of the industrial Internet of Things? The responses to these questions can provide valid reasons for reading about the use cases of the industrial Internet of Things. Here are some statistics about industrial IoT or IIoT, which showcase the existing and expected trends. 

• The global IIoT market was worth over $263 billion in 2021. As of 2022, the market value of the industrial Internet of Things is more than $323 billion dollars. Market predictions suggest that the industrial Internet of Things will be worth over a trillion dollars by 2028.
• According to McKinsey Global Institute, industrial IoT use cases have the capability to contribute almost $4 trillion to $11 trillion worth of economic value by 2025. 
• The industrial Internet of Things market will also contribute over $14 trillion to the global economy through different value benefits by 2030. 
• Top industries such as transportation and logistics, utilities, and the discrete manufacturing sector are expected to invest $40 billion each in IoT transformation.
• Industries seek IoT applications as an effective route for achieving multiple enterprise benefits. Around 54% of industrial IoT protocols and applications rely on cost savings as a primary revenue driver. On the other hand, around 23% of Chinese companies have affirmed the use of IoT for increasing competitiveness. 
• Almost 58% of manufacturers have perceived IoT as a crucial tool for the digital transformation of industrial operations. At the same time, around 80% of senior executions in different industries believe that IoT is a crucial factor for the growth of different lines of business.
• The investments in IoT by companies could increase up to $15 trillion by 2025. As of now, estimates suggest that expenses in IoT solutions could exceed $1 trillion in 2023.

Start learning Blockchain IoT with World’s first IoT (Internet Of Things) Skill Path with quality resources tailored by industry experts Now!

List of Examples of Industrial IoT Use Cases

The review of industrial Internet of Things fundamentals, its importance, and market trends provide necessary information required for a review of IoT use cases in different industries. You must have questions like “ What are examples of industrial IoT? ” to understand the industrial Internet of Things from a practical perspective. Here are some of the most popular use cases of the industrial Internet of Things or IIoT.

1. Tom Farms

The foremost sector in the adoption of IoT for industrial use cases is farming. Bytes and Bushels is one of the popular case studies focused on applications of IoT for farming on an industrial scale. The IoT case study on industrial automation in the farming industry focuses on Tom Farms, a family-owned farm in US. 

Tom Farms have discovered an innovative approach for leveraging IoT to facilitate easier distribution of their produce. Following the farm crisis in the 1980s, Tom Farms purchased more land and worked on research and development of new technologies for production. Tom Farms effectively adopted self-driving tractors, GPS data, and sensors alongside iPhone apps for efficient irrigation. 

The next important mention among examples of industrial IoT protocols would point to Airbus. The commercial airplane manufacturer leverages IoT to create a factory of the future that would improve production capacity alongside streamlining operations. Airbus leverages integrated sensors in different tools and machines for monitoring each step in the assembly process while avoiding mistakes. In addition, Airbus has also introduced wearable technology for workers with industrial smart glasses, which could improve workplace safety.

Want to learn how you can use blockchain in the Internet of Things (IoT)? Enroll now in  Getting Started with Blockchain And IoT Course !

3. Tesla IoT Car

Tesla is obviously one of the top responses to “ What are examples of industrial IoT? ” with global popularity. The vision of Tesla Motors for creating self-driving cars relies profoundly on AI and IoT. The futuristic vehicle manufacturer can leverage IoT-based applications for the customization of cars according to customer requirements. The Internet of Things powers the crucial features of self-driving cars Tesla, such as autopilot mode, connectivity, and mobile application control. 

4. General Electric

The outline of top IoT case studies in industrial contexts would also include the example of General Electric or GE. General Electric seeks efficient opportunities for leveraging the combination of IoT and industrial analytics for capitalizing on exclusive value benefits. GE utilizes IoT in its industrial machinery to achieve more than just controlling and monitoring machines. On the contrary, the applications of IoT could help GE with predictive maintenance, thereby supporting the easier prediction of breakdowns.

Expand your knowledge of IoT with comprehensive  IoT Flashcards explaining terms and technologies.

5. Caterpillar

The collection of industrial IoT use cases also sheds light on examples like Caterpillar. The heavy-equipment manufacturer has been one of the renowned pioneers in the implementation of the industrial Internet of Things. Caterpillar, also known as CAT, has reaped the rewards of IoT adoption in industrial use cases. 

The heavy-equipment manufacturer has utilized IoT and augmented reality applications to help machine operators obtain real-time insights on fuel levels and machine health status. On top of it, the marine asset intelligence division of CAT has employed sensor-driven analytics for safeguarding assets on shipping vessels and boats. 

Another prominent addition among examples of IoT case study on industry automation is Hitachi. The striking highlight of the IIoT use cases of Hitachi is the dedicated workforce of 16000 professionals focused on IoT technology. The company provides an IoT platform, Lumada, alongside many IoT-based products. Furthermore, Hitachi has also worked on the development of an IoT-based production model which could reduce production lead times for infrastructure manufacturing tasks. 

Build your identity as a certified blockchain expert with 101 Blockchains’ Blockchain Certifications designed to provide enhanced career prospects.

7. PTC Thingworx         

PTC Thingworx is also a promising addition among industrial IoT examples. The platform helps in building and operating IoT applications, thereby enabling an efficient choice for the transformation of products and services. One of the most notable use cases of the IoT platform is All Traffic Solutions, which offers traffic safety products across the United States. The applications of All Traffic Solutions have evolved over the years to empower innovative IoT-connected smart traffic signs. 

Intel has entered the domain of the industrial Internet of Things with its partner NEXCOM for transforming electronic medical record management. The new IoT-based medical informatics system by NEXCOM helps in addressing the barriers to communication between IoT networks and medical devices. It can help in easier documentation of medical device data in electronic medical records and transferring to private cloud of healthcare providers.

Curious to know how the IoT business mechanisms work? Enroll Now in the Internet Of Things Business Impact Course !

9. John Deere

The list of answers for “ What are examples of industrial IoT? ” also includes John Deere, the renowned tractor manufacturing company. The manufacturer leverages IoT to power its next generation of self-driving tractors. Most important of all, the command of John Deere on GPS technology supports its initiatives in developing self-driving tractors. On top of it, John Deere also leverages telematics for facilitating and predicting maintenance benefits.

10. Amazon 

The final addition among industrial IoT case studies draws attention to the retail giant Amazon. It is one of the leading innovators in the use of IoT for transforming logistics and warehousing operations. For example, the fulfillment centers of Amazon use connected robots to locate shelves of products and bring them to workers. The use of IoT-connected robots could not only help in improving operational efficiency but also facilitate significant cost reductions.

Learn the latest insights about the IoT (Internet of Things) and understand how it’s related to the blockchain with industry experts with  IoT Skill Path

The overview of the different use cases of the industrial Internet of Things provides clear insights into how IIoT can revolutionize digital transformation. As a subset of the broader IoT market, the industrial Internet of Things has better prospects for growth in the future. Most important of all, popular and successful industrial IoT use cases set the benchmarks for upcoming innovations in the industrial applications of IoT. 

Industries would have to go through new approaches for innovation in business model design and adapt to the latest technology. If you want to learn more about the impact of IoT on business models , you can choose 101 Blockchains to learn about business model innovation . Learn more about IoT fundamentals and how they can revolutionize industries right now.

About Author

Georgia Weston is one of the most prolific thinkers in the blockchain space. In the past years, she came up with many clever ideas that brought scalability, anonymity and more features to the open blockchains. She has a keen interest in topics like Blockchain, NFTs, Defis, etc., and is currently working with 101 Blockchains as a content writer and customer relationship specialist.

• AI & ChatGPT (123)
• Analyst Corner (30)
• Blockchain (77)
• Career Guide (45)
• Community Spotlights (10)
• Comparisons (79)
• Featured (5)
• FinTech (25)
• Guides (653)
• Interview Preparation (30)
• Metaverse (61)
• Newbies (32)
• News & Updates (126)
• Opinions (70)
• Profiles (9)
• Reviews (184)

Featured Posts

• Announcement: 101 Blockchains is a CPD Accredited Certification Provider
• How to become Certified Web3 Professional?
• How to become Certified Metaverse Professional?
• How to become a Certified NFT Professional?
• How to Become Certified Expert in Blockchain?

Recent Posts

• Machine Learning Engineer vs. Data Scientist: Career Comparison
• Introduction to Cargo and Cargo Workspaces in Rust
• A Beginner’s Guide to Ethereum Layers
• Know Everything About Escrow Smart Contract
• Understanding DVT and How Does It Improve Staking on Ethereum

Related Post

What is the Role of AI in IoT?

Georgia Weston

Understanding the Role of Machine Learning in IoT Development

Top 10 IoT Platforms For Your Next Smart Project

September 08

Leave A Reply Cancel Reply

Save my name, email, and website in this browser for the next time I comment.

Master the world's most in-demand Blockchain, Web3 and AI skills

No account yet?

Case studies..

Our Case Study database tracks 19,090 case studies in the global enterprise technology ecosystem. Filters allow you to explore case studies quickly and efficiently.

• Real Time Analytics (2,609)
• Predictive Analytics (1,767)
• Machine Learning (765)
• Big Data Analytics (625)
• Digital Twin / Simulation (301)
• Data-as-a-Service (237)
• Process Analytics (163)
• Computer Vision Software (155)
• Robotic Process Automation (RPA) (101)
• Data Mining (94)
• Natural Language Processing (NLP) (87)
• Virtual & Augmented Reality Software (49)
• Edge Analytics (28)
• Generative AI (14)
• Data Exchange & Integration (2,533)
• API Integration & Management (1,338)
• Data Visualization (761)
• Middleware, SDKs & Libraries (490)
• Database Management & Storage (437)
• Event-Driven Application (345)
• Blockchain (86)
• Enterprise Resource Planning Systems (ERP) (1,809)
• Remote Monitoring & Control Systems (1,307)
• Fleet Management Systems (FMS) (480)
• Inventory Management Systems (428)
• Warehouse Management Systems (WMS) (424)
• Manufacturing Execution Systems (MES) (361)
• Enterprise Asset Management Systems (EAM) (272)
• Computerized Maintenance Management Systems (CMMS) (211)
• Product Lifecycle Management Systems (PLM) (199)
• Transportation Management Systems (TMS) (195)
• Product Data Management Systems (41)
• Warehouse Control Systems (WCS) (8)
• Dock Management Systems (DMS) (8)
• Yard Management Systems (YMS) (5)
• Application Development Platforms (2,055)
• Data Management Platforms (1,256)
• Connectivity Platforms (926)
• Device Management Platforms (169)
• Edge Computing Platforms (9)
• Cloud Computing (1,263)
• Cloud Storage Services (472)
• Cloud Databases (342)
• Hybrid Cloud (227)
• Public Cloud (181)
• Virtual Private Cloud (150)
• Private Cloud (142)
• Backup & Recovery (140)
• Others (129)
• Cloud Middleware & Microservices (99)
• Utility Meters (254)
• Temperature Sensors (237)
• Camera / Video Systems (214)
• Level Sensors (167)
• Autonomous Driving Sensors (147)
• Environmental Sensors (146)
• Acoustic Sensors (101)
• Liquid Detection Sensors (95)
• Flow Meters (77)
• Haptic Sensors (73)
• Optical Sensors (47)
• Gas Sensors (46)
• Air Pollution Sensors (46)
• Vibration Sensors (41)
• Chemical Sensors (36)
• Pressure Sensors (36)
• Infrared Sensors (31)
• Humidity Sensors (29)
• Electrical Conductivity Sensors (27)
• RFID Readers (26)
• Voltage Sensors (24)
• Lidar & Lazer Scanners (19)
• Barcode Readers (18)
• Dimension & Displacement Sensors (16)
• Accelerometers (14)
• Airflow Sensors (14)
• Dry Contact Sensors (9)
• Torque Sensors (8)
• Biometric Sensor (7)
• Thermal Conductivity Sensors (7)
• Proximity Sensors (6)
• Encoders (5)
• Gyroscopes (4)
• Magnetometers (4)
• RF Meters (4)
• Network Security (634)
• Security Compliance (435)
• Cloud Security (323)
• Endpoint Security (314)
• Identity & Authentication Management (303)
• Application Security (194)
• Intrusion Detection (164)
• Database Security (113)
• Malware Protection (82)
• Network Management & Analysis Software (328)
• Gateways (263)
• Cellular (232)
• Ethernet (132)
• Routers & Bridges (80)
• Bluetooth (60)
• Wireless Local Area Network (47)
• Global Navigation Satellite System (GNSS) (42)
• Software-Defined Networking (33)
• RF Transceivers (32)
• Radio Access Network (21)
• Low-Power Wide-Area Network (18)
• Ultra Wide Band (3)
• Wheeled Robots (229)
• Autonomous Guided Vehicles (AGV) (92)
• Collaborative Robots (26)
• Parallel Robots (20)
• Robot Application & Programming Software (11)
• Cartesian Robots (7)
• Articulated Robots (5)
• Robot Operating Systems (2)
• Service Robots (2)
• Gantry Robots (1)
• Robot Accessories (1)
• Human Machine Interface (HMI) (74)
• Automation & Process Control Systems (70)
• Supervisory Control & Data Acquisition (SCADA) (59)
• Programmable Logic Controllers (PLC) (26)
• Electric Drives & Control (16)
• Distributed Control Systems (9)
• Virtual Reality Glasses, Headsets & Controllers (77)
• Augmented Reality Glasses, Headsets & Controllers (28)
• Tags & Patches (19)
• Smart Clothing (13)
• Implants (12)
• Watches, Gloves & Wrist Computers (6)
• Exoskeletons (4)
• Backpack (2)
• Portable Scanners (1)
• Embedded & Edge Computers (58)
• Microcontrollers & Printed Circuit Boards (28)
• System on a Chip (23)
• Embedded Operating Systems (6)
• VTOL & VTOL Hybrid Drones (28)
• Flight & Control Systems (20)
• Drone Payloads & Accessories (19)
• Multirotor Drones (7)
• Drone Flight & Navigation Software (5)
• Fixed-Wing Drones (4)
• Battery (42)
• Additive Manufacturing (8)
• Energy Harvesting (3)
• Electrical Actuators (13)
• Hydraulic Actuators (7)
• View all 15 Technologies
• Retail (1,744)
• Finance & Insurance (1,638)
• Healthcare & Hospitals (1,622)
• Telecommunications (1,463)
• Education (1,443)
• Equipment & Machinery (1,412)
• Transportation (1,316)
• Cement (1,178)
• Buildings (1,061)
• Automotive (1,023)
• Construction & Infrastructure (838)
• Consumer Goods (815)
• National Security & Defense (799)
• Food & Beverage (721)
• Software (633)
• Cities & Municipalities (607)
• Professional Service (600)
• Electronics (552)
• Utilities (507)
• Oil & Gas (443)
• E-Commerce (383)
• Aerospace (351)
• Life Sciences (316)
• Agriculture (306)
• Pharmaceuticals (299)
• Electrical Grids (265)
• Chemicals (237)
• Apparel (193)
• Renewable Energy (193)
• Marine & Shipping (184)
• Packaging (168)
• Mining (165)
• Metals (127)
• Security & Public Safety (117)
• Glass (116)
• Paper & Pulp (81)
• Recycling & Waste Management (80)
• Railway & Metro (64)
• Semiconductors (58)
• Plastics (56)
• Specialty Vehicles (23)
• Battery (9)
• View all 42 Industries
• Business Operation (5,826)
• Sales & Marketing (4,167)
• Quality Assurance (3,100)
• Logistics & Transportation (2,784)
• Product Research & Development (2,671)
• Maintenance (1,598)
• Procurement (1,477)
• Discrete Manufacturing (1,301)
• Facility Management (1,024)
• Warehouse & Inventory Management (970)
• Human Resources (804)
• Field Services (253)
• Process Manufacturing (203)
• View all 13 Functional Areas
• Predictive Maintenance (2,573)
• Inventory Management (2,489)
• Supply Chain Visibility (1,873)
• Time Sensitive Networking (1,561)
• Remote Asset Management (1,553)
• Real-Time Location System (RTLS) (1,531)
• Process Control & Optimization (1,128)
• Fleet Management (1,029)
• Cybersecurity (910)
• Predictive Quality Analytics (696)
• Tamper Detection (647)
• Regulatory Compliance Monitoring (624)
• Building Automation & Control (610)
• Remote Collaboration (537)
• Leasing Finance Automation (521)
• Manufacturing System Automation (515)
• Construction Management (493)
• Track & Trace of Assets (425)
• Demand Planning & Forecasting (405)
• Personnel Tracking & Monitoring (365)
• Last Mile Delivery (351)
• Predictive Replenishment (348)
• Retail Store Automation (345)
• Remote Control (317)
• Infrastructure Inspection (313)
• Digital Twin (293)
• Warehouse Automation (272)
• Fraud Detection (244)
• Energy Management System (241)
• Visual Quality Detection (238)
• Transportation Simulation (237)
• Virtual Prototyping & Product Testing (217)
• Machine Condition Monitoring (214)
• Vehicle Telematics (211)
• Chatbots (207)
• Traffic Monitoring (207)
• Virtual Training (202)
• Intrusion Detection Systems (191)
• Onsite Human Safety Management (188)
• Asset Health Management (AHM) (182)
• Additive Manufacturing (181)
• Smart City Operations (175)
• Virtual Reality (160)
• Building Energy Management (156)
• Public Transportation Management (144)
• Manufacturing Process Simulation (143)
• Behavior & Emotion Tracking (142)
• Picking, Sorting & Positioning (142)
• Smart Campus (141)
• Material Handling Automation (138)
• Usage-Based Insurance (120)
• Leakage & Flood Monitoring (119)
• Continuous Emission Monitoring Systems (118)
• Experimentation Automation (116)
• Asset Lifecycle Management (114)
• Speech Recognition (108)
• Remote Patient Monitoring (107)
• Vehicle Performance Monitoring (99)
• Smart Parking (97)
• Autonomous Transport Systems (96)
• Vehicle-to-Infrastructure (96)
• Edge Computing & Edge Intelligence (90)
• Driver Performance Monitoring (88)
• Water Utility Management (87)
• Structural Health Monitoring (85)
• Intelligent Packaging (83)
• Theft Detection (82)
• Farm Monitoring & Precision Farming (81)
• Computer Vision (80)
• Rapid Prototyping (73)
• Clinical Image Analysis (67)
• Factory Operations Visibility & Intelligence (66)
• Construction Site Monitoring (64)
• Perimeter Security & Access Control (61)
• Smart Lighting (61)
• Public Warning & Emergency Response (59)
• Root Cause Analysis & Diagnosis (59)
• Search & Rescue (59)
• Outdoor Environmental Monitoring (57)
• Intelligent Urban Water Supply Management (53)
• Machine to Machine Payments (53)
• Digital Thread (50)
• Advanced Metering Infrastructure (AMI) (49)
• Livestock Monitoring (48)
• Smart Contracts (44)
• Indoor Air Quality Monitoring (39)
• Geofencing (36)
• Predictive Waste Reduction (36)
• Augmented Reality (35)
• Facial Recognition (32)
• Mass Customization (31)
• Security Claims Evaluation (30)
• Movement Prediction (29)
• Mesh Networks (27)
• Service Parts Management (27)
• Indoor Positioning Systems (26)
• Automated Disease Diagnosis (26)
• Condition Monitoring (26)
• Campus Area Network (22)
• Voice Biometrics (22)
• Autonomous Robots (21)
• Microgrid (19)
• In-process Traceability (19)
• Smart Irrigation (19)
• Agriculture Disease & Pest Management (18)
• Collaborative Robotics (17)
• Counterfeit Product Identification (17)
• Object Detection (16)
• Machine Translation (14)
• Mixed Reality (13)
• Disease Tracking (13)
• Smart Collateral Management (12)
• Immersive Analytics (11)
• Occupancy Monitoring (11)
• Advanced Production Planning and Scheduling (11)
• Port Automation (9)
• Tank Level Monitoring (7)
• Agricultural Drones (6)
• Remote Surgery (5)
• Automatic Palletizing & Depalletizing Systems (4)
• Flexible Manufacturing (4)
• Smart Shelves (3)
• Fog Computing (2)
• Energy Storage Management (2)
• Food Safety Management (2)
• Robotic Disassembly (2)
• Autonomous Transportation (1)
• View all 127 Use Cases
• System Integration (10,416)
• Software Design & Engineering Services (3,525)
• Cloud Planning, Design & Implementation Services (3,404)
• Data Science Services (2,998)
• Training (2,615)
• Testing & Certification (1,261)
• Cybersecurity Services (932)
• Hardware Design & Engineering Services (347)
• Drone Operation Services (10)
• View all 9 Services
• Altair (382)
• Software AG (304)
• Nintex (246)
• Zapier (143)
• Alteryx (116)
• ANSYS (112)
• Twilio (106)
• Schneider Electric (87)
• Zscaler (85)
• Fireflies.ai (78)
• Samsara (73)
• Celigo (72)
• Rapid7 (69)
• Fastly (67)
• CyberArk (65)
• Freshworks (65)
• Honeywell (64)
• Google Cloud Platform (63)
• Fivetran (62)
• Mulesoft (58)
• Sisense (55)
• TIBCO Software (54)
• Dataiku (54)
• DataRobot (53)
• Imperva (53)
• Amazon Web Services (52)
• Advantech (51)
• Comsol (50)
• LivePerson (50)
• Microsoft Azure (49)
• Greenly (47)
• Hitachi Vantara (46)
• Lectra (43)
• Dassault Systemes (42)
• PubNub (37)
• Altium (35)
• GRAPHISOFT (32)
• Faststream Technologies (31)
• ManyChat (31)
• Provectus (30)
• Signal Sciences (27)
• 3xLOGIC (24)
• Datacor (23)
• ThingWorx (22)
• C3 IoT (21)
• Bullhorn (20)
• WIN-911 (19)
• Yellowfin (19)
• BlueCat Networks (18)
• WIBU-SYSTEMS (18)
• Mirantis (18)
• Jitterbit (18)
• BatchMaster Software (17)
• Cognizant (16)
• EMnify (16)
• Flowgear (16)
• MoEngage (16)
• Octane AI (16)
• Huawei (14)
• Uplight (14)
• Shippeo (14)
• Pipefy (14)
• AUVESY-MDT (13)
• Vodafone (13)
• FORCAM (13)
• Cube Dev (13)
• Documoto (12)
• OptiProERP (12)
• Joyent (12)
• Redscan (12)
• Kissflow (12)
• Linode (11)
• Equinix (11)
• Neptune.ai (11)
• Hotjar (11)
• ConsenSys (11)
• hireEZ (10)
• boost.ai (10)
• AuraQuantic (10)
• Dell Technologies (9)
• General Electric (9)
• Microsoft (9)
• Synapse Wireless (9)
• Siemens (9)
• Locus Technologies (9)
• CenturyLink (9)
• Tableau (9)
• BrightLocal (9)
• Kaleido (9)
• Wind River (8)
• Prodapt (8)
• ASAP Systems (8)
• Revenera (8)
• Telefonica (8)
• Cygnet Infotech (8)
• GridPoint (8)
• Adesto Technologies (7)
• Infosys (7)
• Johnson Controls (7)
• 3D Systems (7)
• Ayla Networks (7)
• Silver Spring Networks (7)
• Libelium (7)
• Informatica (7)
• TEKTELIC (7)
• Customers.ai! (7)
• QuickNode (7)
• Creatio (7)
• Adroit Technologies (6)
• Ericsson (6)
• HMS Networks (6)
• SenseGrow (6)
• Tata Consultancy Services (6)
• Sierra Wireless (6)
• VMware (DELL) (6)
• Altizon Systems (6)
• Verimatrix (6)
• GE Digital (GE) (6)
• Sirqul, Inc (6)
• S+P Samson (6)
• GreenRoad Technologies (6)
• Verdigris Technologies (6)
• Saviant (6)
• Zensar Technologies (6)
• Trimble (6)
• Aegis Software (6)
• DarkTrace (6)
• Cloudera (6)
• Fortinet (6)
• Data Theorem (6)
• Deposco (6)
• Aptivio (6)
• cnvrg.io (6)
• BareMetrics (6)
• CarbonChain (6)
• Emerson (5)
• Eurotech (5)
• COPA-DATA (5)
• Bright Wolf (5)
• Lantronix (5)
• Advantech B+B SmartWorx (5)
• SparkCognition (5)
• ZIN Technologies (5)
• Ramco Systems (5)
• Royal 4 Systems (5)
• PINpoint Information Systems Inc. (5)
• ThingLogix (5)
• Objectivity (5)
• SoftDEL (5)
• Wavetronix (5)
• Teradata (5)
• B-SCADA (5)
• WinWire (5)
• Senseye (5)
• NTT Data (5)
• Ursalink Technology (5)
• Tata Communications (5)
• Precisely (5)
• Scandit (5)
• Fast Radius (5)
• Openpath (5)
• Confluent (5)
• Aspire Systems (5)
• Iguazio (5)
• BlackBerry (4)
• Exosite (4)
• Flextronic (4)
• Fujitsu (4)
• Rockwell Automation (4)
• Urbiotica (4)
• Actility (4)
• VMware Tanzu (4)
• Covisint (4)
• HID Global (4)
• KORE Wireless (4)
• Axis Communications (4)
• CommScope (4)
• Petasense (4)
• Nutanix (4)
• Autodesk (4)
• Milestone Systems (4)
• WhereScape (4)
• OSIsoft (4)
• SmartLog (4)
• MachineMetrics (4)
• Claroty (4)
• Wise Systems (4)
• FactoryFour (4)
• Savi Technology (4)
• Automation Anywhere (4)
• OpenLegacy (4)
• Nextbillion.ai (4)
• Canvas GFX (4)
• Camelot 3PL Software (4)
• ChannelApe (4)
• Amplitude (4)
• Postman (4)
• Accenture (3)
• Adaptive Wireless Solutions (3)
• Beckhoff (3)
• DXC Technology (3)
• Hitachi (3)
• Hewlett Packard Enterprise (HPE) (3)
• Mesh Systems (3)
• Qualcomm (3)
• Secomea (3)
• Fusion Connect (3)
• Worldsensing (3)
• Zebra Technologies (3)
• Dialogflow (3)
• Red Hat (3)
• Enlighted (3)
• Sight Machine (3)
• Decisyon  (3)
• Daintree Networks (GE Current) (3)
• HCL Technologies (3)
• Virtustream (DELL) (3)
• ionSign Oy (3)
• Viavi Solutions (3)
• Ovak Technologies (3)
• Aras Corp (3)
• Dell Boomi (Dell) (3)
• Couchbase (3)
• ICONICS (3)
• Stellapps Technologies (3)
• Masternaut (3)
• Materialise (3)
• Alibaba Cloud (Aliyun, 阿里云) (3)
• Utilidata (3)
• Arxan Technologies (3)
• SmartDataSystem (3)
• Simform (3)
• VividWorks (3)
• Zerone Technologies (3)
• SoftServe (3)
• Barbara (3)
• Infinite Uptime (3)
• Opentrends (3)
• Nanoprecise Sci Corp (3)
• TigerGraph (3)
• MathWorks (3)
• Akamai Technologies (3)
• Mindtree (3)
• Dataranya Solutions Pvt Ltd (3)
• Milesight (3)
• TEKNOPAR Industrial Automation (3)
• Extensiv (3)
• John Galt Solutions (3)
• Horizon3.ai (3)
• XM Cyber (3)
• Integrify (3)
• Infineon (2)
• Upskill (2)
• Tech Mahindra (2)
• Raytheon Technologies (2)
• Samsung Electronics (2)
• China Telecom (2)
• Zenodys (2)
• Trilliant (2)
• Kepware (PTC) (2)
• Altiux Innovations (2)
• Cambium Networks (2)
• FogHorn (2)
• Bsquare (2)
• Carbon3D (2)
• DorsaVi (2)
• RSA (DELL) (2)
• Litmus Automation (2)
• Juniper Networks (2)
• Phunware (2)
• Concirrus (2)
• Bosch.IO (2)
• Xively (Google) (2)
• IBM Watson (2)
• CloudLock (Cisco) (2)
• Plex Systems (2)
• Gambit Communications (2)
• Infoblox (2)
• PLVision (2)
• nicheBees (2)
• Sparks Dynamics (2)
• Eclipse IoT (2)
• Fraunhofer IOSB (2)
• RapidValue (2)
• Faltcom (2)
• Veros Systems (2)
• elastic (2)
• IoT Systems (2)
• ElifTech (2)
• CivicConnect (2)
• Cradlepoint (2)
• Aikaan Labs (2)
• Clevest (2)
• Tulip Interfaces (2)
• TetraScience (2)
• CyberGRX (2)
• ThoughtSpot (2)
• Fiix Software (2)
• Keysight (2)
• ORBCOMM (2)
• Belitsoft (2)
• Zealous System (2)
• Ingram Micro (2)
• InetSoft Technology (2)
• Entrust (2)
• Inspekto (2)
• Intellegens (2)
• AntWorks (2)
• Lemberg Solutions (2)
• Elmo Solutions (2)
• Qualified (2)
• Celential.ai (2)
• Exceed.ai (2)
• ClicData (2)
• Camunda (2)
• Lionbridge (2)
• Advanticsys (1)
• Alleantia (1)
• Broadcom (1)
• Arkessa (1)
• Aptomar (1)
• Datalogic (1)
• Emulate 3D (1)
• GlobalLogic (1)
• ME-Automation Projects (Mitsubishi Electric) (1)
• Verizon (1)
• TE Connectivity (1)
• China Mobile (1)
• RtTech Software (1)
• Tridium (Honeywell) (1)
• Librestream (1)
• Elmodis (1)
• AutoGrid (1)
• HydroPoint Data Systems (1)
• Kaazing (1)
• Festo Didactic (1)
• B&R Industrial Automation (1)
• Care Innovations (1)
• Genpact  (1)
• GlobalSign (1)
• Accent Systems (1)
• SafeFleet (1)
• Wireless-Tag (1)
• Adapt-N (1)
• Apptricity (1)
• Augmedix (1)
• Bastille Networks (1)
• USA Technologies (1)
• Clear Object (1)
• Compology (1)
• EnerNOC (1)
• Glassbeam (1)
• Intamac (1)
• Neustar (1)
• NGRAIN Corporation (1)
• Pitney Bowes (1)
• RF Code (1)
• Secure Meters (1)
• Spirae LLC (1)
• Stratoscale (1)
• NimbeLink (1)
• Aruba Networks (1)
• Fluke Networks (1)
• DasData (1)
• QNAP Systems (1)
• Tellabs (1)
• NLP Logix (1)
• Advanced Energy (1)
• People Power (1)
• M2M One (1)
• Telstra (1)
• Synergis Software (1)
• OpenDNS (Cisco) (1)
• ProcessPro (1)
• Total ETO (1)
• Sopheon (1)
• Deepfield Robotics (Bosch) (1)
• MISys Manufacturing (1)
• Hexagon Safety, Infrastructure & Geospatial (1)
• Particle (1)
• Klocwork (1)
• Corvalent Corporation (1)
• Far South Networks (1)
• GrammaTech (1)
• Switch Automation (1)
• Zipit Wireless, Inc. (1)
• DENSO Corporation (1)
• Leica Geosystems (1)
• Microchip Technology (1)
• AquamatiX Ltd. (1)
• ProGlove (1)
• Cityworks (1)
• RTC Manufacturing (1)
• Toyota Material Handling Europe (1)
• Rovisys (1)
• Thingsquare (1)
• Inductive Automation (1)
• WolkAbout (1)
• Simbe Robotics (1)
• Industrial Vision Systems (1)
• Axter AGV (1)
• Enviromon (1)
• Nozomi Networks (1)
• OpenStack (1)
• Humaware (1)
• RealiteQ (1)
• Derdack (1)
• Mariner (1)
• Reality AI (1)
• Pessl instruments (1)
• Nucleus Vision (1)
• Smart Sense d.o.o (1)
• Korea Telecom (1)
• Inglobe (1)
• Wikitude (1)
• Augment (1)
• Transition Technologies (1)
• Bristlecone (1)
• SLM Solutions Group AG (1)
• FreeWave Technologies (1)
• Scope AR (1)
• EON Reality (1)
• Vizitech Solutions (1)
• E-cube labs (1)
• Mitsubishi Electric (1)
• SORBA IoT (1)
• Ham-Let (1)
• Palo Alto Networks (1)
• Bivocom Technologies (1)
• Maven Wave (1)
• Kellton Tech Solutions (1)
• Pythian (1)
• Chipkin Automation Systems (1)
• Enlight (1)
• CONSYST (1)
• Semiotic Labs (1)
• FireEye (1)
• Navisite (1)
• CloudSigma (1)
• Unidata (1)
• Innovapptive (1)
• Radiflow (1)
• LeanDNA (1)
• 3DSignals (1)
• Flutura (1)
• SynLogics (1)
• Capital Numbers Infotech Pvt Ltd. (1)
• OmniSci (1)
• CrowdStrike (1)
• Shipwell (1)
• Decisions (1)
• jelastic (1)
• NetraDyne (1)
• Wingtra (1)
• Densify (1)
• Phoenix Energy Technologies (1)
• eSight Energy (1)
• WaterSmart Software (1)
• TechAvidus (1)
• METTLER TOLEDO (1)
• Crate.io (1)
• Robustel (1)
• ArtiMinds Robotics GmbH (1)
• PixelPlex (1)
• Finoit Technologies (1)
• Imbrios Systems (1)
• Progress (1)
• Medigate (1)
• EdgeConneX (1)
• Zenlayer (1)
• AnyLogic (1)
• LMI Technologies (1)
• Solution Analysts (1)
• Keyfactor (1)
• TÜV Informationstechnik GmbH (1)
• Sapiens (1)
• Memfault (1)
• Commsignia (1)
• Hyperlink InfoSystem (1)
• Wahtari (1)
• TUS-INVENT (1)
• Intraratio (1)
• Craftworks (1)
• VISIO NERF (1)
• Shanghai SmartState Technology (1)
• WhaleDI (1)
• Stemmer Imaging (1)
• Devtank Ltd (1)
• Infysion technologies (1)
• Contrast Security (1)
• Salt Security (1)
• Bricsys (1)
• Optimized Technologies Inc. (1)
• Cadence Design Systems (1)
• DynaSCAPE (1)
• Grayscale (1)
• MindTitan (1)
• People.ai (1)
• Linn Systems (1)
• Pachyderm (1)
• Blue Yonder (1)
• Wallarm (1)
• Bishop Fox (1)
• Grow.com (1)
• Blueprint Software Systems (1)
• ELMA365 (1)
• quytech (1)
• View all 660 Suppliers

• Case Studies
• --> --> -->