The Telecom Service Assurance Market is on the cusp of witnessing rapid technological advancements, with demand for high-speed broadband connectivity only expected to elevate in the years to come. It goes with saying that service outages have caused major disruption to businesses across the globe, causing financial losses at scale. According to a report by Top10VPN, global internet shutdowns grew by 36% in 2021, costing $5.45 billion. The market size could exceed USD 10 billion by 2028.
Natural disasters, physical link failures, security breaches, and hardware/software crashes are a few of the many ways service outages impact connectivity to critical businesses activities. These outages further become the reason for disruption in internal and external communication, disabled customer services, supply chain constraints, and crippled manufacturing and delivery process.
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Continuous network connectivity is paramount for enterprises involved in critical operations like banking, e-commerce and logistics. However, with time, network equipment have become increasingly complex, leaving more room for failure. Handling faults in an effective and timely manner is where fault management comes into the picture.
It is a component of service assurance that focuses on detection, prediction, isolation and prevention of faults in the system. Not only does it take necessary steps to recover from faults, but also prevents faults from occurring. Fault management tools control all existing elements of the network, allowing users to manage potentially debilitating network problems quickly and effectively.
Machine learning-based fault detection method has found key application in several different areas and scenarios in the telecom and IT domains. These models are very powerful and can automatically detect the status of a network and detect large number of faults. With data centers being set up at an incremental rate worldwide, the need for ML-based fault detection systems will elevate with time.
5G: the next big thing in the telecom domain
5G has set the benchmark for high-speed internet connectivity, enabling IT modernization and bestowing communications service providers (CSPs) the ability to provide wide-range of capabilities to their customers especially enterprises. However, the advent of 5G has led to reinventing the role of CSPs in operational and business support systems (OSS/BSS), which includes adopting automation and AI in service assurance.
To optimally plan 5G rollouts, telecom operators will focus on service assurance more than ever that covers both performance management and fault monitoring. To that end, companies in the service assurance market are making progress in terms of launching new tools and business strategies that favor 5G deployment.
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In 2021, Atrinet, a leading provider of AI-optimized, cloud-native, Open Network Automation software, joined forces with ServiceNow Partner Program to optimize the accuracy of network and service inventory data, and analyze and prevent performance issue and service failing events.
In 2022, Google Cloud and telecom firm BT announced a strategic partnership to accelerate the latter’s digital transformation using a suite of Google Cloud products and services —including cloud infrastructure, ML and AI, data analytics, security, and API management — to deliver superior customer experiences through predictive fault management and assurance, reduce costs and risk, and build new revenue streams.
The Prominent Key Players in the market include Accenture PLC Anritsu, Amdocs, Broadcom Inc., Cisco Systems, Comarch S.A., Commscope, Enghouse Networks
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