IoT (Internet of Things) is a relatively new concept for companies of all industries. IoT software integrates with critical business systems (e.g., ordering systems, robotics, scheduling, and more) to enhance the execution of related tasks. The main idea is to reduce operational costs while collecting and analyzing data so that processes can be optimized and goals can be achieved. All too often, what starts out as a simple task evolves into a number of challenges that must be overcome to reach the desired result.
IoT Software Implementation Challenges
According to a report by IDC, the number of connected IoT devices worldwide is projected to reach 41.6 billion by 2025, generating 79.4 zettabytes of data. Additionally, a survey by Bain & Company found that 90% of executives believe IoT will significantly impact their industry, and 40% plan to implement IoT solutions within the next two years. About 60% of enterprises are already implementing IoT, but only 30% are ready to say they’ve done so successfully. Most business executives are not yet able to appreciate the value of implementing IoT software because its benefits don’t begin to bear fruit for some time after implementation. By focusing on reducing operating costs, companies often miss out on IoT’s ability to solve consumer problems.
And while IoT software impacts efficiency, customer satisfaction, and productivity in the long run, the gap between understanding why to use IoT and the real value of putting its innovation into practice is a common reason for enterprises being slow adopters. The challenges of IoT, such as security risks, device complexity, and interoperability, must be addressed to fully realize the potential of this transformative technology.
1. Compatibility of Various IoT Systems
A main issue enterprises encounter is when they attempt to integrate the operations of their existing equipment with an entire system of embedded IoT sensors. The IoT software implementation process involves integrating various components such as hardware, software, and network protocols to ensure the effective functioning of the IoT system. The process of linking and debugging systems from different manufacturers in order to achieve a working interface can be both long and expensive. The process of integrating IoT software with older, existing systems to obtain the reliable and necessary information is sure to encounter many software conflicts along the way.
Installing external sensors on devices may be a temporary solution, however, here, the difficulty lies in need to determine which particular sensor functions are the priority and how to use them.
2. Authentication and Identification Issues in IoT
Today, the number of devices connected online amounts to tens of billions. Among the challenges of IoT is the precise and secure connection of each of them, which raises huge security concerns for enterprises across the U.S. However, due to the high complexity of this task, many companies worry about the effectiveness of their devices along with their existing systems. To connect all these IoT devices to a single platform, an entirely new system architecture is required to be responsible for authentication and identification.
3. Integration of IoT Points with IoT Software
The successful implementation of an IoT software depends entirely on its integration with existing systems. Integrations that fall short on delivering what was expected or require complicated training to learn how to use will lead to negative outcomes: reduced productivity, poor customer service, failure to achieve KPIs, etc.
That is why the process of integration is such a critical component in an IoT project. Unfortunately, the difficulty lies in the need to connect a large number of sensors to the platform.
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4. IoT Data Storage Challenge
Many companies leverage IoT devices to gather real-time data to facilitate business decision-making and boost customer satisfaction. However, all the collected data should be synthesized and transferred in a specific format to store on storage systems – which is prompting organizations to reconsider their data storage infrastructures. A company should store data generated from the Internet of Things, and this data is consistently growing.
Most IoT data (structured or unstructured) performs analytical functions to generate insights. The analyzed results have to be pushed back to a central terminal. This prompts demand for high-capacity and high-speed storage, as well as advanced memory processing technologies.
5. Connectivity and Power Management IoT Challenges
Since the number of devices increases, so growth the demand for effective power management. Specific IoT devices, such as printers, can utilize AC power while being placed in accessible locations, whereas others are wireless and can be situated in remote areas where battery power is the only option. Despite advancements in storage technology, battery life remains a persistent challenge for IoT networks. Enterprises should consistently monitor when an IoT device’s battery requires recharging or replacement. Therefore, it is crucial to identify devices that conserve power when not in use to ensure efficient power management.
Although some devices can be powered via a LAN cable, this method is only suitable for devices that require minimal power. Correct power distribution is another factor. This ensures that as many devices as possible will have access to a network, instead of working autonomously from batteries. If a device is stationed in a difficult place to access, battery replacements can be extremely problematic.
To obtain reliable and timely information from IoT sensors, a stable and high-speed internet connection is required. This is especially critical for companies involved in all types of transportation and delivery. Nevertheless, any remote operations will require additional equipment on the premises of warehouses to improve the quality of signals collected by sensors and transmitted across networks via routers or LAN, MAN, and WAN connections. Companies will also be responsible for establishing and maintaining high-speed connections between these networks, as well as managing the growing number of devices being connected to them.
6. Unstructured Data Processing
The introduction of countless additional sensors means processing enormous volumes of unstructured information. In order to organize, analyze and filter out the most useful data, IoT software needs to be effectively configured and deployed. Moreover, unstructured data is difficult to store and use for future analysis.
The combination of IoT and Big Data temporarily solves this problem by speeding up the analytical process. However, Big Data itself is also massive, which adds challenges to IoT software development. The need for integrating IoT solutions with Big Data tools is a long process being undertaken by some of the biggest names in tech.
7. Incorrect Data Capture Difficulties
If we were to assume a situation where all previous technological challenges of IoT had been resolved and a stable system had been brought to market, incorrect data collection would still plague the process. This is because systems record absolutely everything: any anomalies, unwanted incidents or failures of an IoT software. The inclusion of such information in analytical data can adversely affect decision-making, which subsequently affects consumers and the company collecting it.
8. IoT Data Analytics Challenges
The real value of an IoT solution is in generating effective insights obtained from the collected IoT data. This requires a high-performance analytical platform with tools capable of processing huge amounts of data. Moreover, the implementation of IoT software introduces new obstacles such as data volumes increasing to astronomical levels, causing the need for IoT analytics to diverge further from traditional analytics.
The real-time nature of IoT data forces analytics to happen in real-time for companies to benefit from this type of data collection. Time series data is another issue that refers to any data that has a timestamp. A company’s IoT infrastructure must be capable of collecting, storing and analyzing huge volumes of time series data. The challenge here is that most conventional databases are not equipped to handle this type of data.
9. Data Security Issues
With the increasing number of cyberattacks, more and more concerns are being raised around the issue of IoT security. According to Microsoft research, about 25% of IoT devices will be susceptible to attacks by hackers in the coming years. Unfortunately, even large corporations are vulnerable to data leakage. However, hacking can occur both from the side of the corporation as well as from the side of the consumer.
The need for solutions that provide enhanced security on both ends is the responsibility of IoT software companies. Thus they must take into account all possible angles of attack, that includes protecting users from themselves. This begins with simple procedures such as prompting a user to change their default password.
10. Costs Efficiency
IoT infrastructure can be costly, and the expenses associated with maintenance, updates, device replacements, and technical expertise can quickly go up. As the technology continues to advance, finding the right team with the required expertise can be challenging, but businesses keep investing in IoT, which leads to infrastructure catching up with the technology.
11. Development Skillset
Finding high-profile experts with diverse skills, including IoT, security, hardware, and user requirements can be challenging. Such expertise often requires further specialization in the industry. As the IoT industry continues to grow, the demand for skilled professionals has increased, creating a supply-demand gap. As a result, project costs may rise, and finding professionals with the required skill set to execute a project may be challenging.
12. Customer Satisfaction
Among the challenges of implementing IoT solutions, bringing value to consumers ranks highest. Companies striving to get the most from IoT technology must clearly define what value they intend to receive. Due to an incorrectly thought-out strategy affecting customer satisfaction, an IoT value proposition should consider the business and operational value of a product or service and its impact on the customer.
For example, deciding to replace live operators with IoT innovations is a serious step. Before doing so, a company must focus on how the user experience will change. And make changes to guarantee that high-quality assistance persists. The most common mistakes usually occur when implementing ill-conceived UX solutions, weak strategies, and weak transitional processes. That is why a holistic UX approach focused on improving comfort and value for the consumer is a must.
Therefore, most enterprises turn to professional companies for consultation in developing full-cycle IoT solutions consisting of sensors, a network, and software. However, optimizing and improving an existing system also often requires outside help.
IoT technology Forecast
Experts consider 2023 to be a promising year for IoT technology. The demand for IoT development services is on the rise as businesses strive to improve operational efficiency, reduce costs, and enhance customer experiences. Significant progress in the use of IoT software for industries such as Healthcare, Manufacturing, Logistics, and the construction of smart objects (smart home, smart offices) are expected to arrive.
With the implementation of AI (ML) algorithms, IoT solutions will become more efficient and reliable. Moreover, cloud computing and SaaS solutions will make IoT more scalable. Eventually, IoT development services can help businesses leverage the power of connected devices to improve operations, enhance customer experiences, and drive innovation.
One of the problems that enterprises face when increasing the number of sensors is energy consumption. New IoT sensors, both external and internal, are becoming more modern as their use reduces energy expenditures by 5-12%. However, the only challenge is in phasing out old sensors and replacing them with new ones. In the case of using old equipment, entire systems may require replacing.
Several companies are actively developing 5G wireless networks. And although the expected date for the introduction of this technology isn’t yet known, large-scale tests will commence this year. This new network protocol will be able to solve the problem of implementing IoT for enterprises operating remotely.
It is only a matter of time before the challenges of implementing IoT software and solutions will be resolved. In a period of constant invention and a continuously changing landscape of new solutions and innovations, companies will be looking for a solution that not only brings their processes into the modern age but future-proofs them against modern dangers as well.
IoT technology is constantly developing. Please, feel free to contact Computools’s experts to learn how IoT solutions can benefit your business.
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