Global Telecom Analytics Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Global Telecom Analytics Market Research Report 2023-Competitive Analysis, Status and Outlook by Type, Downstream Industry, and Geography, Forecast to 2029

Telecom analytics encompass sophisticated business intelligence (BI) technologies that are packaged to satisfy the complex requirements of telecom organizations. These include increasing sales, reducing churn and fraud, improving risk management and decreasing operational costs.

Market Overview:

The latest research study on the global Telecom Analytics market finds that the global Telecom Analytics market reached a value of USD 15242.0 million in 2022. It’s expected that the market will achieve USD 60827.89 million by 2028, exhibiting a CAGR of 25.94% during the forecast period.

Factors Driving the Market

Need to Prevent Customer Attrition
Currently, telecom operators are facing fierce competition in the market. For telecom operators, customer is life, and how to maintain existing customers is the most important task of customer management. Therefore, the more customers a telecom operator has, the greater the upfront investment as the main cost, and the greater the profit of the enterprise. The significance of customer resources for telecom operators cannot be overstated, and competition among telecom operators is actually competition for customer resources. Customer loyalty is the key to profitability in the telecom industry. Customer churn (attrition) is particularly problematic in this industry as telecom providers manage large fixed infrastructures that must be offset by revenue. Today's consumers see the value of 5G and are willing to switch to other service providers for better video quality Consumers have high expectations for 5G and many are willing to pay more for a better mobile video experience and/or future immersive media applications, even at the expense of switching to other service providers. The low switching costs of customers (supported by government regulations) mean that customer loyalty is the only real tool telecom companies must have to reduce churn. Connected data is used to improve service quality, dynamically adjust pricing/promotions and deliver personalized content to consumers, allowing telecom providers to influence customer loyalty and directly increase customer retention. The good news for telcos is that all these factors are measurable and addressable. By analyzing and mining subscriber data, operators can enrich subscriber profiles, understand subscriber preferences, make appropriate marketing recommendations based on subscribers' on-net behavior, achieve one customer, one policy, and retain subscribers who have a tendency to leave the network. Thus, the challenge becomes transforming large amounts of raw data into actionable business insights and decisions that affect customer perception. And with telecom analytics tools, specifically, artificial intelligence-driven analytics tools can mine large data sets for performance insights related to customer churn, which can then be brought to the attention of marketers, customer service managers and executives so they can incorporate these findings into subsequent decisions to achieve the goal of reducing churn and increasing customer loyalty.

Region Overview:

From 2023-2028, North America is estimated to witness robust growth prospects.

Company Overview:

IBM is one of the major players operating in the Telecom Analytics market, holding a share of 13.73% in 2021.

IBM is a technology company. The Company operates through five segments: Cloud & Cognitive Software, Global Business Services, Global Technology Services, Systems and Global Financing. The Cloud & Cognitive Software Solutions segment delivers integrated and secure cloud, data and artificial intelligence (AI) solutions to its clients. It comprises three business areas: cognitive applications, cloud & data platforms, and transaction processing platforms. Global Business Services segment provides consulting, business process and application management services. Its Global Technology Services segment provides information technology (IT) infrastructure and platform services. The Systems segment provides infrastructure platforms to help meet the requirements of multi-cloud and enterprise AI workloads. Its Global Financing segment is engaged in financing, which is primarily conducted through IBM Credit LLC, and remanufacturing and remarketing.

Oracle provides products and services that address all aspects of corporate information technology (IT) environments, including application, platform and infrastructure. The Company's businesses include cloud and on-premise software, hardware and services. Its cloud and on-premise software business consist of three segments, including cloud software and on-premise software, which includes Software as a Service (SaaS) and Platform as a Service (PaaS) offerings, cloud infrastructure as a service (IaaS) and software license updates and product support. Its hardware business consists of two segments, including hardware products and hardware support. The Company's services business includes the remainder of the Company's segments. Its services business includes activities, such as consulting services, enhanced support services and education services, among others.

Segmentation Overview:

Among different product types, On-premise segment is anticipated to contribute the largest market share in 2028.

Application Overview:

By application, the Network Analytics segment occupied the biggest share from 2018 to 2022.

Key Companies in the global Telecom Analytics market covered in Chapter 3:

HPE
Wipro
Cisco
Ericsson
Oracle
Huawei
Accenture
Nokia
Teradata
IBM
Microsoft
Intel
SAP
Dell EMC

In Chapter 4 and Chapter 14.2, on the basis of types, the Telecom Analytics market from 2018 to 2029 is primarily split into:

On-premises
Cloud

In Chapter 5 and Chapter 14.3, on the basis of Downstream Industry, the Telecom Analytics market from 2018 to 2029 covers:

Customer Analytics
Network Analytics
Market Analytics
Price Analytics
Service Analytics
Others

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2018-2029) of the following regions are covered in Chapter 8 to Chapter 14:

North America (United States, Canada)
Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden)
Asia Pacific (China, Japan, South Korea, Australia, India, Indonesia, Philippines, Malaysia)
Latin America (Brazil, Mexico, Argentina)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa)