Telecom Analytics Market to Reach USD 9.89 Billion| Telecom Analytics Thrives as Data Becomes King

The surge in need for streamlining revenue management, rise in demand for fraud detection due to network attacks, and the need for churn reduction drive the growth of the global telecom analytics market. However, lack of awareness of telecom analytics among telecom operators hampers market growth. On the contrary, integration of new technologies such as machine learning and AI in telecom analytics is expected to create lucrative opportunities in the near future.

According to the report, the global telecom analytics industry was pegged at $3.52 billion in 2018 and is expected to reach $9.89 billion by 2026, registering a CAGR of 13.90% from 2019 to 2026.

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In the telecom industry, "churn" refers to the percentage of subscribers who switch from one service provider to another within a specific timeframe. Companies are increasingly focusing on reducing churn because a rising churn rate year after year can harm a company's reputation and have a severe impact on its future business and sales. The adoption of telecom analytics has the potential to decrease churn by approximately 15%. As a result, telecom service providers are seeking customer churn analytics tools to prevent revenue loss, enhance the quality of customer service, and reduce marketing and sales costs. Embracing telecom analytics solutions allows carriers to extract valuable insights from subscriber usage data, enabling them to understand subscriber behavior patterns and improve the overall customer experience. These solutions also create opportunities for cross-selling and up-selling for telecom companies.

Additionally, market vendors are now integrating machine learning into telecom analytics solutions to better understand customer sentiments, helping carriers identify subscribers at risk of churning and the reasons for potential churn, both current and future. This empowers companies to develop marketing and customer care programs aimed at retaining customers. Furthermore, churn analytics in the telecom industry can predict when customers are likely to switch to a different

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The primary driver behind the growth of the telecom analytics market is the imperative need to streamline business operations, which directly impacts the revenue generated. The revenue of telecom companies is intricately linked to various factors, including the number of subscribers, the sale of value-added services, billing charges, and other related aspects. Telecom analytics plays a pivotal role in identifying limitations that need improvement to boost the revenue of telecom firms. By leveraging telecom analytics software, businesses can effectively mitigate risks and make well-informed strategic decisions. Furthermore, it empowers companies to distinguish themselves in a competitive landscape and deliver subscriber-focused insights, thereby contributing to revenue growth.

Telecom analytics solutions offer both qualitative and quantitative metrics, providing objective measurements in the form of Key Performance Indicators (KPIs) or Key Quality Indicators (KQIs) for a wide range of applications, including business, network, and customer use cases. Telecom analytics aids in assessing critical subscriber decisions that directly influence revenues, and this assessment is achieved by calculating propensity scores based on pertinent information such as subscriber experience (xDRs), location, partners (TAP), network data (probes), and user activities (logs). As a result, the market is expected to experience significant growth during the forecast period due to these essential functionalities.

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The on-premise segment dominated the market in 2018, accounting for nearly three-fifths of the global telecom analytics market. The investments by large enterprises for in house software deployment, and the need to secure the critical data and usage of legacy system are driving the growth of this segment. However, the cloud segment is expected to manifest the fastest CAGR of 15.50% during the forecast period. The low investment cost agility, and scalability offered by telecom analytics as a service are driving the growth of the segment. Furthermore, the rise in need for mobility, and increase in adoption of cloud technology by small scale enterprises are expected to provide lucrative growth soon.

The global telecom analytics market across North America held the largest share in 2018, accounting for nearly two-fifths of the market. This is due to the presence of a large number of market vendors in this region. Moreover, the proliferation of smart phones, IoT, and great presence of internet connectivity are anticipated to boost the growth of the market. On the other hand, the Asia Pacific region is expected to register the fastest CAGR of 16.0% during the forecast period. This is attributed to the growing tele communication industry in this region. Furthermore, rise in use of smartphones, and increase in adoption of fast internet is expected to increase the growth in this region.

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The global telecom analytics market across North America held the largest share in 2018, accounting for nearly two-fifths of the market. This is due to the presence of a large number of market vendors in this region. Moreover, the proliferation of smart phones, IoT, and great presence of internet connectivity are anticipated to boost the growth of the market. On the other hand, the Asia Pacific region is expected to register the fastest CAGR of 16.0% during the forecast period. This is attributed to the growing tele communication industry in this region. Furthermore, rise in use of smartphones, and increase in adoption of fast internet is expected to increase the growth in this region.

Leading Market Players

➢ Tibco
➢ Adobe
➢ Cisco
➢ Oracle
➢ SAS Institute
➢ Teradata
➢ Tableau
➢ Sisense
➢ SAP SE

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