As connected technologies and devices make their presence felt the world over, the development of modern and innovative IoT testing solutions for seamless testing, monitoring, and protection is becoming a major focal point for tech companies and manufacturers alike. Saloni Walimbe, Content Writer at Insight Research shares the trends that influence IoT testing solution’s adoption.
The internet of things (IoTOpens a new window ) has ingrained itself in many aspects of modern life. From healthcare equipment to industrial networks, home appliances, transportation technology, and even military weapons, IoT has enabled a seamless remote connection between devices and their users.
IoT technology is increasingly blurring the lines between the digital and physical world by allowing systems, devices, and users to connect to a host of different networks. As more businesses, governments, and other entities set their sights on digital transformation, the adoption of IoT solutions is surging rapidly across the globe. According to studiesOpens a new window , more than 75 billion IoT devices are anticipated to be connected to the Internet by 2025.
Considering this robust potential growth in the IoT landscape, the future of the internet will need to be prepared for monitoring interoperability, functionality, security, and various other aspects of connected devices and layers. As the demand for IoT development and the prevalence of connected technologies grow over the years, it is natural that the scope of the IoT testing marketOpens a new window  should expand as well. The growing demand for advanced testing models and tools in an increasingly connected global landscape is among the major trends influencing the industry outlook in recent years. Enlisted below are other such key trends.
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Proliferating Presence of Connected Technologies
Technological evolution is no longer confined to smartphones, tablets, and mobile devices. It has now moved on to incorporate next-gen connected applications across myriad industries such as healthcare, automotive, etc. The diversifying range of products in the IoT ecosystems has also led to the emergence of new challenges in IoT testing needs, such as a stronger focus on unusual devices, such as minimal thermostat interfaces, home appliances, and watch sensors. The integration of this expanding product range in the IoT landscape and modern IoT testing solutions need to be effectively managed and strategized to meet the evolving quality standards brought forth by these devices.
Consider home automation, for instance. It is one of the most prominent use cases of IoT technology. To facilitate the proper reach of IoT devices for automatic door locks, home automation, and other such functions, an expansive bandwidth is paramount. Various home automation devices, including Nest and Dropcam, have garnered significant interest in recent years. IoT frameworks like Apple’s HomeKit are also being rolled out to facilitate better interaction between various parts of a connected home.
While it is proving to be a boon for homeowners, home automation represents an unfamiliar and difficult environment for testers, particularly during simulations. However, modern IoT testing solutions such as service virtualization are emerging as ideal solutions to these issues, ensuring seamless monitoring operations in connected home applications. Service virtualization can capture ongoing data transactions and use them to create virtual services that can replicate expected responses or real components, mitigating limitations, and accelerating both development and testing activities simultaneously.Â
For instance, SmartBear’s ServiceV Pro, a virtualization tool, empowers testing and development teams to generate, configure and implement virtual API copies, enabling them to work on costly, hard to configure, or unavailable services. This, in turn, ensures a more seamless working environment in agile or DevOps operations and reduces bottlenecks and excess costs in QA applications. Solutions such as these can enable testing/development teams working on connected homes to model myriad types of sensors, houses, and device states.
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Burgeoning Demand for IoT Testing Software in the IT Ecosystem
Modern enterprises are increasingly demanding high-quality software and speedier releases to obtain faster ROI (return on investment). This burgeoning demand for sophisticated technologies at high speed drives these organizations towards adopting DevOps continuous development (CD), continuous integration (CI), and agile methodologies, as a step towards achieving the desired returns.
In this situation, the integration of robust automated testing tools becomes necessary to ensure the production of high-quality and high-performance products. Furthermore, the use of advanced testing tools in DevOps and agile processes can speed up and streamline releases of novel technologies equipped with quality-assured software.
In terms of testing tools, the IoT testing industry is broadly classified into hardware and software. Software testing tools are available in the form of both paid and open-source tools, which are designed to facilitate faster releases and deliver feedback rapidly to DevOps teams. Wireshark is a prime example of a free, open-source automated testing tool and traffic analyzing software, which is deployed by testing teams to monitor all visible traffic on specific interfaces, including unicast traffic.
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Rapid Penetration of Artificial Intelligence and Other Advanced Technologies
Businesses undertaking application development endeavors are rapidly shifting towards the use of sophisticated technologies such as AI in their operations to achieve a certain “smartness†in the performance of their applications. Studies Opens a new window suggest that nearly 37% of organizations across the globe have implemented artificial intelligence in some form. This integration indicates that machines and connected devices are rapidly replacing human and manual intervention in several industrial situations.
Technological experts have also initiated efforts to leverage the potential of artificial intelligence in IoT testing operations, to empower testers with quicker deployments, even with limited resources and infrastructures.
AI in IoT testing solutions can significantly increase reliability in terms of results compared to conventional manual testing operations, which involve prolonged human intervention and are also susceptible to discrepancies and errors. Automated testing solutions can circumvent these risks by undertaking repetitive tasks, thereby freeing human employees to channel their efforts towards more strategic and skill-based tasks that require manual attention.
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