Telecom Analytics Market - Forecast(2024 - 2030)

Telecom Analytics Market Overview

The Telecom Analytics market is currently valued at $4.2 billion in 2021 and is expected to reach a valuation of $21.55 billion by 2027 growing at a CAGR of 18.54% during the forecast period 2022-2027. The rising number of smart devices, the growing need for churn prevention, and increasing cyberattacks have necessitated the requirement of more comprehensive business intelligence which has been driving the growth of the Telecom Analytics market. The exponential increase in the number of mobile phones coupled with the exponential surge in unstructured data has resulted in major telecommunications corporations deploying Big-Data Management and multi-dimensional analysis to organize and structure the enormous amount of data that is being generated globally. The increasing number of mobile phones globally and the need to provide real-time satisfactory customer services at competitive prices has led companies to adopt predictive-modelling backed processes to better analyse future growth and glitch areas and direct resources to address them. In 2021, some of the major telecom companies in the U.S. such as Verizon, At&T and others suffered from a DDoS (Distributed Denial of Service) leading to services outage in several states like Florida, Chicago, Georgia and others. Customers of these operators expect uninterrupted services and outages may cause significant financial harm to the companies’ by denting their reputation and causing customers to switch to other operators. Several factors such as the rapid increase in the adoption of mobile phones; increased deployment of IoT-enabled devices, and technological advancements in the fields of data mining and text Management coupled with the cybersecurity threats will lead to the rapid growth of this market.

Report Coverage

By Deployment: On-premises, Cloud
By Organization: Large Enterprises, Small and Medium Enterprises
By Application: Customer Management, Network Management, Sales and Marketing, Pricing Management, Service Management, Workforce Management, Risk and Compliance Management and others.
By End-User: Telecom Operators, Retail & E-commerce, Transportation & Logistics, Media & Entertainment, Government, and others.
By Geography: North America (U.S, Canada, Mexico), Europe (U.K, Germany, France, Italy, Spain, Others), APAC (China, Japan, South Korea, India, Australia, Others), South America (Brazil, Argentina, Others) and RoW (Middle East, Africa).

Key Takeaways

• Customer Management is expected to exhibit the highest growth rate at a CAGR of 19.22% between 2022 and 2027 due to the increasing number of smartphone users, increased frequency of network glitches, and determining where to direct future investments by forecasting future demands.
• Telecom Operators are expected to show the fastest growth at a CAGR of 19.86% between 2022-and 2027 due to an exponential surge in data from multiple sources, increasing frequency of customer fraud, and improving revenue generation per customer by analyzing this data.
• North America will have the largest Telecom Analytics Market Share due to the urgent requirement of telecom operators to optimize network utilization, reduce customer churn, increase revenue per customer consolidate revenue streams and enhance security.

Telecom Analytics Market Value Share, By Region, 2021(%)

Telecom Analytics Market Segment Analysis- By Application

Telecom Analytics is a complex, multi-dimensional sector that has got varied applications in different segments such as Customer management, Network management, Market management, Pricing management, Service management and others. One of the most important segments of Telecom Analytics is Customer Management which helps it to gain critical insights to provide better services which lead to brand loyalty that is critical to the revenue stream. Customer Management is the fastest-growing segment in the Telecom Analytics market with a CAGR of 19.22% between 2022-and 2027. Customer Management enables companies to figure out which network issues impact the customer the most by correlating complaint data with CRM data which assists in resolving these issues, thereby enhancing customer satisfaction and easing the process of customer retention. Customer Management enables companies to provide consistent service and helps them to determine where to layout new infrastructure by forecasting future growth and network demands. In September 2021, Oracle launched its Customer Data Management (CDM) software which would enable companies to create accurate records of customers, ease search and sort operations, and create a source of “single truth” from multiple databases. Such developments would greatly encourage companies to adopt Telecom Analytics solutions for analyzing the huge volume of incoming data and improving their customer service which in turn would propel the growth of this market.

Telecom Analytics Market Segment Analysis-By End User

Telecom Operators are forecasted to grow with the highest CAGR of 19.86% between 2022-and 2027. The rapid ascent in the number of smartphone users, cheap data, and connected devices has exponentially increased the volume of data passing through the networks of the telecom operators which has posed a serious challenge in front of operators on how to store, harness, and gain critical insights from this data to streamline their revenue. The application of data analytics in the telecom industry will help operators to augment profitability by streamlining network utilization and services, upgrading customer experience by providing real-time services and dodging superfluous calls, and improving security. In April 2022, the California-based Express Management said that it would offer custom solutions for telecom operators to retain their customers and boost revenue per customer by following an AI and predictive modelling-backed process. The advancements in technologies such as AI & ML, cloud computing, data mining, and text Management coupled with the surge in the volume of data would accelerate the growth of this market.

Telecom Analytics Market Segment Analysis- By Geography

North America is the largest player in the Telecom Analytics market with a market share of around 32% which is attributed to factors such as increasing use of mobile phones, increased use of IPs, and digitization of services. Rapid setting up of telecom infrastructure, growing adoption of cloud-based infrastructure along with R&D investments from key market vendors such as Verizon, AT&T T-Mobile US, and others can be considered as some of the major factors driving the growth of the Telecom Analytics Market within this region. The urgent need for major telecom operators and other enterprises to derive critical insights, optimize network utilization, and consolidate revenue streams are the main factors that are driving the rapid adoption of Telecom Analytics in this region. Rapid advancements in technologies such as AI&ML, data mining, and cloud computing have also played a major role in accelerating the growth of the Telecom Analytics Industry. In March 2022, Verizon announced its 5G partnership with Live Nation which will allow its customers to have an immersive artist and fan experience by enabling connected concert-goers at Live Nation clubs, theatres, and amphitheatres to stream, share photos and videos, and download content at speeds up to 10x faster than 4G. The rapid advancement of digital marketing on E-Commerce platforms and social media marketing Such developments would greatly enhance the load on networks and generate exponential amounts of data which will propel the growth of this market.

Telecom Analytics Market Drivers

Increased number of cell phone users: Increased adoption of smartphones across the globe and widespread internet access resulting in rapid digitization of the major economies

The rapid increase in smartphone usage in recent years is due to the increased availability of affordable handsets and increasing purchasing power, especially in emerging markets like China, and India. This data surge from multiple sources has made it imperative for the telecom operators and other enterprises to deploy Management to provide a better customer experience, provide real-time services for problem resolution, prevent fraud and increase revenue per customer. According to ICEA, the number of smartphone users in India will be around 820 million by 2022 and China would have more than a billion users at the same time. Apart from these, the rapid digitization of essential services in major economies like China, India, the U.S. and Europe will lead to an unprecedented data surge from application networks, rich media streams, and other sources which will drive the major telecom operators to adopt Management to manage this huge amount of data. In Feb 2021, Reliance Jio Infocom which is the largest wireless operator of telecom services in India announced that it would be opening a new Data Centre in UP at an investment of $950 million which would enhance its capability to better process the enormous amount of data that is being generated. Such developments coupled with growing consumption, an increasing number of connected devices, and conspicuous data consumption will accelerate the growth of this market.

Prevention of Customer Churn: Preventing Customer churn by providing a better customer experience and predicting customer behaviour

Factors such as price sensitivity, innovative technology compared to competitors, poor customer service and other inconvenience factors are the main reasons behind the high rates of customer churn in the telecommunications industry. The high rates of customer churn have been extremely expensive for telecom operators with many spending approximately 15-20% of their revenues on customer retention. According to TRAI, India, the world’s second-largest telecommunications market with more than 1.19 billion active subscriptions has a monthly-churn rate of around 6%. The intense competitiveness in the global telecommunications industry coupled with the surge in variety and volume of data and high customer churn rates has been driving the growth of the Telecom Analytics market. Deployment of technologies such as Big Data, Machine Learning, Artificial Intelligence, and statistical and predictive modelling-backed processes are essential for telecom operators to figure out the core reasons behind their shortcomings and thereby optimize network utilization, provide in-demand services at competitive rates, and enrich the customer experience by providing customized products and services. Such developments will accelerate the growth of the Telecom Analytics Market in the coming years.

Telecom Analytics Market Challenges

Data Security and Privacy:

Data privacy and data security concerns will impede the growth of the Telecom Analytics market in the forecast period. Since critical data is transferred via networks such as IoT or the cloud, a highly secure environment needs to be established. The increased prevalence of IoT-enabled interconnected devices has significantly enhanced the probability of data theft. Increased connectivity and data sharing have resulted in more cybersecurity issues and data breaches which will lead to less adoption of cloud-based solutions and Telecom Analytics services (third-party services). In 2021, the database of ANTEL, a Uruguay government-owned telecommunications company was released on dark-web platforms. In the light of such occurrences, governments around the world are tightening legislation surrounding data protection and privacy. Such factors are expected to hamper the growth of the Telecom Analytics market.

Telecom Analytics Market Landscape 

Product launches, collaborations, and R&D activities are key strategies adopted by players in the Telecom Analytics market. The top 10 companies in the Telecom Analytics market include

1. Oracle Corporation, 
2. IBM Corporation, 
3. SAP SE, 
4. Microsoft Corporation, 
5. Huawei Technologies, 
6. Adobe Inc., 
7. Cisco Systems Inc., 
8. Teradata Corporation, 
9. Sisense Inc.,
10. Cinarra.

Recent Developments

• In April 2022, NOKIA announced that it will provide 7250 IXR chassis-based interconnect routers to support high-density 400GE applications in Microsoft’s ‘tier-2’ network architecture which will bring scale, agility and resilient networking in the data-center environment. Such technological developments enhances the capabilities of firms to analyze massive pieces of data with relative ease thereby improving customer service and prospects of customer retention which in turn would accelerate the growth of the telecom analytics market.
• In March 2022, HCL and IBM announced their collaboration to open a center of excellence from where they would provide network modernisation technologies to telecom operators. Such developments would help telco clients to transform their networks including telecom companies core vRAN, ORAN, private networks,edge modernisation and 5G which in turn would propel the growth of this market.
• In June 2021, AT&T announced that it would be moving its 5G network onto Microsoft Azure which would enhance its speed, security, cost improvements and innovation. The massive amount of incoming data has overwhelmed the telecom companies who are now looking toward the cloud service providers and employing analytics for better security and management of this data. Such developments will positively impact the growth of this market.

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