Trends in IoT
Which IoT Trends Will Stand Out in the Years to Come?
It would be an understatement to say that 2020 was an unexpected year. The COVID-19 pandemic has made both institutions and employees more involved with technology for both their professional and personal needs. new in 2021 IoT We’ve watched demand for apps be shaped by connected healthcare, remote work, remote asset tracking, and location services.
IOT – Massive Growth Approaches
Compared to other types of technology, IoT devices generally receive more data and information about devices and users. By 2020, there will be approximately 31 billion IoT devices in the world. Today, we see IoT devices as the main part of reporting and monitoring.
According to IoT Technology Trends, we can easily assume that it will expand fully. The IoT usually takes or collects a lot of data and there is Artificial Intelligence to extract the underlying data. In short, we will see IoT devices work to take actions, and they will also help technicians to make insightful recommendations.
The Internet of Things (IoT), as it is known, is growing rapidly and remains popular. It shows great activity in connecting, communicating and interacting with anyone from anywhere in the world. As we come out of 2022 and approach the new year, this event seems to show itself with new trends in 2023.
The Internet of Things (IoT) is defined as a network of physical objects known as “Things” connected via sensors, software and other technologies to exchange data with other devices.
While IoT is present in every field today, it offers a significant practicality to our lives with smart technologies and devices that provide convenience in communication, advanced connectivity and advanced data security.
Blockchain Technology
Data security for IoT-enabled devices is one of the biggest concerns for users. Blockchain technology is also emerging as the most reliable solution to ensure data protection through encryption techniques and peer-to-peer communication without intermediaries. Blockchain, a distributed ledger technology, is among the top IoT trends addressing major IoT security and scalability challenges.
You should be prepared to see models of centralized and monolithic computing divided into jobs and microservices distributed across decentralized devices and machines. The IoT will spread to governance, healthcare, transaction, finance, and other disciplines that people can’t think of these days. Such IoT Technology Trends will make important and effective differences for us.
The key issue here is the centralized network at the backend that is used to power IoT devices. Therefore, trust is a more important issue now. Blockchain, one of the key IoT Technology Trends, is extremely necessary for proper data retention and protection.
If we want to get a range of smart devices into homes, we need to solve the trust problem of customers. because it may be a more significant threat to them and the threat may dominate more of them. So we can consider “blockchain as an effective backend” as one of the new IoT Trends for next year.
Predictive Maintenance
It is a system that includes a machine or component with sensors that collects and transmits data, then analyzes the data and stores it in a database. Predictive maintenance is an IoT solution for both businesses and individuals. This technology transfers data to artificial intelligence-based software that users can analyze and predict any failure before it occurs. This database provides comparison points for events that occur later. The system eliminates unnecessary maintenance and increases the probability of failure avoidance. This helps to assess a potential damage or problem through multiple sensors that monitor the status of devices and components.
It can be used for a wide variety of IoT applications in predictive maintenance, manufacturing, warehousing, logistics, healthcare, and more.
Edge Computing
As IoT technology grows, sensors will appear everywhere, resulting in a massive increase in the amount of data collected. However, the processing power in most IoT devices is limited, so data processing takes place in the cloud, often in data centers far from where the IoT devices producing the sensor data are located.
Where data is generated, analyzed, interpreted and addressed. Using smart edge means analysis can be done faster and the chances of data being captured or otherwise breached are significantly reduced.
Adoption of edge computing will become more important for IoT devices to overcome the disadvantages of cloud computing such as low bandwidth and latency issues encountered during real-time data processing.
Some of the data analytics functions are shifting to the edge of the network, closer to the source of data generation, as IoT ecosystems become more sophisticated to reduce latency and enable near-autonomous decision making when responding to sensor signals from IoT devices. This is especially important for time-critical use cases, such as health monitoring devices or autonomous vehicles, where instantaneous responses can save lives.
Edge computing emerges as a more cost-effective and accurate data processing method for IoT devices. With this technology, the information collected by IoT devices can be directly processed without being sent to other places. The enhanced throughput and data accuracy enabled by edge computing provides bandwidth savings and better privacy compliance, making it one of the top IoT trends in 2021.
Edge computing often outperforms the Cloud when it comes to speed and cost. We all know that faster processing means lower latency, and that’s what Edge Computing does. Data processing with Edge Computing to improve IoTIt will be available with the cloud.
Artificial Intelligence and Data Analytics
Data analytics plays an important role in efficient business management to make an important decision based on a comprehensive analysis of the collected data. Powered by artificial intelligence (AI) algorithms and Big Data technology, advanced AI-driven data analytics solutions can collect large amounts of information, analyze it in real time, and extract useful insights from it.
This powerful integration of AI, Big Data and IoT devices will enable users to easily make effective and important business decisions based on insights and information gathered by data analytics.
An AI machine learning system can identify trends quickly. IoT Technology Trends will bring better data analytics and make it easier to maintain. It also gathers insights from important data to make a better decision for our lives. Less integration of IoT is very smart, thoughtful and also self-learning.
Big Data Convergence
IoT emphasizes changing the way we live and do business and focuses its eyes on generating massive data. Big data platforms are often built to support large-scale storage demands and perform the research necessary to take full advantage of the IoT. These are the new Internet of Things Trends that we are facing and that we will see in large-scale mode in the near future.
IoT and big data share a close bond and today we are seeing many new devices chosen for the fair sharing of data. The cloud is considered to be able to control analytics requirements and storage; It lacks some features when working with larger data and hence IoT needs to work on big data connections from now on.
Digital Twin
The practice of creating a computer model of an object, such as a machine or human organ, or creating a process, such as the weather. By studying the behavior of the twin, it is possible to understand and predict the behavior of its real-world counterpart and solve problems before they arise. Digital Twin technology is emerging as one of the leading IoT trends, gaining popularity after the increase in the application of Blockchain technology. Digital Twins are virtual copies of real objects or processes, with the same features and functionality as their real-life versions. This technology helps enable the secure transfer of valuable data between the virtual and real worlds, monitor the behavior of objects and predict the outcome in different situations.
As an integrated data, model and analysis tool on complex products, digital twin technology enables manufacturers to better understand their products and make analyzes in this direction in terms of product design, real-time simulation, tracking and optimization.
In real life to test Testing on a digital twin created with data from complex products, which is costly and difficult, allows us to try the product the easy way before presenting it to the physical world.
The digital twin also reduces operating cost and extends the life of equipment and assets. Digital twins add value to traditional working approaches by improving awareness, improving space optimization and changing conditions for preventive maintenance. They can reduce operating expenses and potential capital expenses by extending the life of the object they represent and optimizing operating performance.
Wearable devices
Wearable devices are very common these days, even reducing the frequency of using your smartphone. Apple, Fitbit, and Garminare are some of the leaders in the wearable device market, thanks to their advanced smartwatches and fitness trackers. Smart watches can be used to receive calls and text messages and even listen to music without having to take out your smartphone.
Health-focused wearables offer biometric measurements such as your sweat levels, body temperature, and heart rate. These and other health statistics are often stored, analyzed and tracked.
They can then be used to provide an early indication before a disease or health condition occurs. You can also track your steps or workouts and find out how many calories you burned that day and whether you reached your goal.
Medical IoT
Being the core of IoT technology, smart connected devices have become a standard requirement for any new medical device these days. The pandemic has increased the need for respirators and high-quality ventilators with smart connectivity. These devices have enabled improved breathing for everyone who wears masks in healthcare facilities and hospitals.
Remote health services, which started to attract attention with social distance and closure measures, were seen to be a promising area. Remote health services will continue to be used after the fight against the epidemic is completed. The IoT industry will improve the delivery and receipt of healthcare services remotely with smart software tools and hardware.
The number of connected medical devices will continue to grow rapidly. Deloitte predicts connected medical devices (IoMT) to reach $158 billion in 2022, from $41 billion in 2017. In this increase, wearable devices such as the Apple Watch gain health measurement capabilities as well as simple fitness features. Giant technology companies aim to get a share of the huge IoMT market by adding features such as heart rate, blood pressure and glucose monitoring to the wearable devices they develop.
Connection services
IoT Connectivity — 5G, Wi-Fi 6, LPWAN, and Satellites
The main challenge that IoT networks have had to overcome in recent years is wireless data rates. As these technologies improve, so too will the aspects of IoT technology, including sensors, edge computing, wearables, smart homes, and more. Recently, more infrastructure has been developed for newer connectivity types that make IoT solutions more feasible. These are connectivity technologies like 5G, Wi-Fi 6, LPWAN, and satellites.
5G: Advanced Mobile Networks
In many IoT technology solutions, connectivity infrastructure needs to be set up before an array of edge devices, sensors, or other devices can be maintained.
However, mobile networks like LTE can be a potential alternative for certain
situations such as outdoor settings. However, 4G LTE is limited by bandwidth. 5G networks however are much faster and can support data processing needed for IoT networks much more efficiently.
WI-FI 6
For indoor settings, Wi-Fi operating in the 6 GHz band increases the bandwidth potential of IoT technology greatly. The faster that a network of devices can
communicate, the more reliable that the system will be. As a bonus, Wi-Fi 6 can be used in households, meaning that this can offer great benefits for smart home IoT networks.
LPWAN
Low-power wide-area network connectivity is an emerging technology that is effective for connecting devices with low-bandwidth usage with low bit rates
over larger areas. This makes it a good choice for IoT devices that communicate with one another on a machine-to-machine basis. LPWANs are more energy efficient, making them more cost-effective. If you need to use a large number of devices over a large area, LPWAN technology is a good choice.
SATELLITE
In some cases, IoT technology can be powered by satellites for geographically separated networks. Powered by Globalstar satellites, Traksat’s
satellite-powered IoT devices enable humanitarian staff to report emergency incidents to immediately request assistance. GPS information is immediately recorded and sent to a headquarters for rescue preparations.
Electric Vehicles And Autonomous Driving
Cars continue to evolve into more and more capable IoT devices. The number of electric vehicles continued to increase in 2020 and this increase is expected to continue in the coming period. Industry leaders reveal their vision for autonomous vehicles in the short term. In 2022 and beyond, the development of autonomous electric vehicles will continue. A significant part of this development will be based on advanced algorithms and IoT sensors.
IoT and artificial intelligence are already heavily used in the automotive industry. These technologies help manufacturers to accelerate the supply chain and to realize the production and assembly of parts. In 2021, these two areas have come closer together and used more intensively to focus on asset tracking and maintenance.
IoT and AI will continue to leverage sensors and machine learning to provide better driving analytics and safety. In addition, electric car manufacturers will use these technologies to track a vehicle’s parts and notify the user when they need maintenance before they wear out.
Remote Work and Back to Office
Millions of people around the world have started working from their homes. A significant proportion of employees are expected to continue working remotely and adopt hybrid working models for part of 2021. In 2021, some companies are expected to give up their expensive real estate based on what they learned during the COVID-19 outbreak. Forrester research company predicts that 80 percent of global companies will implement comprehensive back-to-office strategies that include IoT applications. These strategies will include moves to improve employee safety, monitor activity in crowded environments, and improve resource efficiency such as smart lighting, energy and environmental monitoring.
IoT Application Areas and Examples in the World
In this section, we have compiled some IoT applications from around the world for you.
- Smart House
- Smart livestock application
- Smart Environment
- Patient Tracking system
- Logistics
- Wearable App
- Vehicle Tracking Systems
- Industrial Application
- Health apps
Statistics According to IoT, the main usage areas of IoT can be to improve customer experiences, ensure security, provide cost efficiency, increase efficiency and gain supply chain visibility.
The IoT is expected to continue to grow exponentially and open up new markets around the world. Listed below are some of the areas that have been completely transformed by this revolutionary concept today.
Smart Home Demand Will Increase
In the past, we have seen IoT applications increase with the idea of smart home technology, and this will continue shortly as homes become more interactive. People do not redirect devices; instead, the devices will tell the household what to do.
There will be less explosive growth; This year, we will see steady growth as companies face security and fragmentation issues. Smart Home Internet of Things Trends or IoT Trends is the hottest topic of this time.
While IoT is expanding in every industry, the one that is growing the most is IoT in the home. In fact, we are on the brink of the smart home boom! According to a recent study by Intel Corporation, 71% of interviewees expect to see at least one smart home device in every home by 2025. Another 68% are confident that smart homes will be as common as smartphones in the next decade.
An example of IoT at home can be seen in smart lights, Philips Hue bulbs, and thermostats that let you control them remotely. Another good example is Amazon Dash buttons. If you’re not familiar with them, Amazon Dash buttons are Wi-Fi-connected devices that let you reorder your favorite product with the push of a button. Dash Replenishment Services takes this step further and automatically orders products when it detects that supplies are running low.
Smart Cities Will Become Widespread
In the past, we’ve seen governments offer more technologies and sensors to take advantage of accessible data collection tools. In short, we will see IoT Trends where forward thinking cities will invest in leading data exchanges. citizens who will ensure access to and unification of data between private and public institutions and public institutions.
We will soon have the opportunity to see the transformation of thinking from smart cities. IoT integration with responsive cities will reduce traffic congestion, pave the way for sustainable development and increase security.
Cities around the world are leveraging the growth of IoT to improve life and services and maximize revenue while reducing costs. In fact, supported by Intel andand a study by Juniper Researchestimates that smart cities have the potential to “give back” 125 hours a year to a person!”
One of the first cities to invest in IoT is Barcelona, which started using responsive technologies in early 2012. This city and many other smart cities use IoT in areas such as public transportation, street lighting, parks, water, energy and waste management.
In transportation, smart cities are improving the use of electric cars and bike sharing, while also improving bus and parking systems. Buses can interact and users can find out where the buses are at that moment. Electric car users can see where the electronic charging points are located.
If you’re in the city and want to park, you don’t need to look around for a place to park. The parking system will save you energy and time by showing you available parking spaces near you. These sensors will also collect statistics that will help the city maximize parking revenue.
The lighting system in a smart city is used to conserve energy and collect various statistics. They can sense when pedestrians are close and when the streets are empty. The same lights are also equipped with sensors that can detect air quality and help the city troubleshoot air and noise pollution. Other sensors can even detect accidents and send information for action to be taken.
In waste management, smart bins monitor waste levels and optimize collection routes. This will help the municipality reduce the cost of checking every bin on all routes. Other advanced bins can even detect hazardous water supplies!
Industrial IoT
The Industrial Internet of Things (IIoT) is growing rapidly and currently accounts for the largest portion of IoT spending. Accenture,$14.2 trillion of IIoT to the global economy by 2030 guesses you can add. IIoT is mostly used in manufacturing and focuses on the use of cyber-physical systems to monitor and control the factory process, as well as using the collected data to make informed decisions.
One of the most important uses of IIoT is to minimize energy consumption, which is often the biggest expense for manufacturing firms. Inefficient machines are often difficult to identify, as bills highlight the total power consumed in the factory. This is where IIoT helps collect and analyze device-level data. In this way, all low-performing devices will be identified and corrected.
Another big advantage of IoT in the manufacturing industry is predictive maintenance. Without the IoT, companies do healthy maintenance based only on a specific time period or the history of a machine. This leads to unnecessary expenses as it will be a predictive maintenance. With IoT, sensors constantly monitor various machines and report their status or if any problems occur. This information saves time, labor and resources, and early signs of problems are always reported. This results in lower downtimes and the improved manufacturing process will certainly bring higher product quality.
Desired yield in agriculture will be obtained with IOT
IoT has greatly improved agriculture in both farming and livestock management. There are agricultural sensors that collect tons of data on soil quality, weather conditions, crop development and cattle health. This data can then be used to analyze performance, equipment, process efficiency, etc. used to monitor. The data can also be used to predict production output so that farmers can plan how to distribute their produce.
IoT also helps to manage cost and reduce waste as farmers will have more control over the production process. The automation brought about by the IoT in processes such as fertilization, irrigation and pest control also contributes greatly to reducing cost and waste. Thanks to the IoT in agriculture, farmers can now increase their production and maximize their profits.
Health Sector Embraces IoT
Once a retailer is seen to benefit from interaction with customers, wearables are used by healthcare industries and these industries will face steady but steady development.
Can you imagine all medical devices using the Cloud and storing images for Intelligent Systems? This is something to note, this way governments will get the most out of it. Trends in the Internet of Things in Health are highly promoted around the world.
The use of IoT in healthcare has yielded unique benefits that improve the quality and efficiency of treatments and generally improve the health of patients.
Many lives have been saved with real-time monitoring devices. When a patient is in danger of heart failure, diabetes, or an asthma attack, smart medical devices often collect data and alert the caregiver, then send it to the appropriate medical personnel from a connected smartphone. Data collected in normal situations is also very useful for paramedics to advise on steps to be taken to improve patient health or take preventive measures.
Hospitals with IoT-connected devices can remotely monitor patient health using data collected by medical devices such as heart monitors and insulin pumps. This way, they can catch early signs of complications and take preventative action.
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