Itransition is an experienced provider of value-adding IoT solutions for various business domains, including telecom. Our expertise in IoT-specific programming and network engineering, coupled with a deep understanding of data analytics systems, allows telecom companies to substantially improve their network performance and create new revenue streams.
A provider of telephony, mobile networks, TV, and internet connection, telecommunications has always been an essential and lucrative industry. As more companies embrace the Internet of Things, its impact on the telecom market is expected to continue to grow in the coming years.
Scheme title: IoT telecom services market size, by network management solution, 2018–2028
Data source: kbvresearch.com — Global IoT Telecom Services Market, 2023
in revenue with cellular IoT connectivity services in 2022
Global Cellular IoT Connectivity Tracker & Forecast
CAGR of the global IoT telecom services market size from 2018 to 2028
The rollout of 5G has catalyzed the new, potentially large wave of IoT transformation across industries. This drive presents telcos with a wellspring of opportunities to increase their profits, extend their B2B service offer, and forge mutually beneficial partnerships with leading enterprises from across industries. Let’s explore top IoT use cases in telecom:
The manufacturing sector is one of the leading users of the Industrial Internet of Things. Telecom companies can offer advanced industrial monitoring solutions for measuring and tracking data from production equipment, providing manufacturers with reliable insights to optimize their processes. From predictive maintenance to remote equipment management to fleet management, telecoms can provide a comprehensive array of services to help manufacturing companies decrease costs and enhance production efficiency.
Sensors form the first layer of the telecom IoT solution stack and are responsible for collecting data from the environment. These sensors can be embedded within various devices such as vehicles, equipment, and machines and collect data such as temperature, pressure, light intensity, vibration, voltage, radiation, or water flow rate.
DAS systems collect raw data from sensors and actuators and convert it to digital format before sending it through an internet gateway. Essentially, the DAS acts as a data translator, allowing devices to communicate with one another.
This component comprises communication IoT protocols and technologies used to transmit data, such as Wi-Fi, Bluetooth, cellular networks like 5G, and low-power networks like NB-IoT. The connectivity protocol choice largely depends on the nature of the data, the distance between nodes, and the budget.
The cloud platform is the centerpiece of any IoT architecture. It is responsible for storing big data, running analytics algorithms for insight generation, data visualization, and remote management of connected devices. The cloud platform is also instrumental for integration with third-party services via APIs.
Edge devices are typically small computing devices deployed at or near the edge of the network, in close proximity to sensors and actuators. They act as intermediaries between the sensors and cloud services. By processing data at the edge, only relevant information is transmitted to the cloud, reducing the volume of transmitted data and alleviating network congestion.
Actuators are used to control the environment by receiving commands from the cloud and acting accordingly. Common examples of actuators include motors, valves, locks, or robot arms.
Most IoT data is stored in the cloud, and some of the data that resides on the actual devices can be hacked via the network.
Implement robust encryption and authentication protocols to ensure data privacy.
IoT devices from different vendors often have incompatible communication protocols, complicating IoT network orchestration.
Collaborate with key industry players to establish common standards and ensure consistency across operating systems, cloud-based services, and technologies.
In the telecom sector, IoT is still a novelty, meaning that most organizations don’t have the necessary infrastructure to support IoT adoption.
Invest in a scalable cloud infrastructure for maximum flexibility, as well as develop an agile computing platform.
Successful implementation of telecom IoT requires more than just connected devices. Here are technologies that can open new opportunities for CSPs when coupled with IoT:
A sub-branch of artificial intelligence, machine learning will inevitably become an integral part of IoT in telecom. Its ability to analyze large amounts of data in real-time can facilitate network optimization, predictive maintenance, and overall automation.
Computer vision can be used to analyze images captured by IoT sensors. Whether it's detecting security threats, automating inventory management, or inspecting physical assets, computer vision adds an extra layer of intelligence to IoT systems.
Blockchain provides new opportunities for CSPs to enable decentralized storage for IoT data and ensure its immutability. Blockchain can also play a key role in realizing the full potential of 5G by establishing a single source of truth across the network.
For the majority of telecommunication companies, IoT is still uncharted territory and a departure from the traditional business model. Nevertheless, the existing network equipment, telecom software, and experienced staff give companies an inherent advantage to transform from “dump-pipe” operators to IoT champions, providing vertical-specific connectivity solutions.
However, getting a competitive advantage in Industry 4.0 calls for a software development partner that can capitalize on your unique position in the market and utilize the latest advancements in technologies. This is where Itransition comes in. Our team has technical and industry-specific expertise to help you build a software solution that meets and exceeds your expectations.
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