The size of the North America Telecom Analytics Market is expected to grow from USD 4.12 billion in 2024 to USD 16.37 billion by 2029, with a compound annual growth rate (CAGR) of 31.78% during the forecast period.
Telecommunications analytics solutions generally meet the demands of complex business intelligence for any company in that sector. They do this by providing better visibility of the telecom company's core operations, internal processes, market conditions and customer turnover rates. The popularity of analysis solutions is growing in the global telecommunications industry, which stems from the need to make data-based decisions in overly complex environments.
Data mining, regulatory modeling techniques and predictive solutions are increasing in relation to companies in this industry. Telecommunications companies of all sizes are harnessing the potential of telecom analytics to improve operational efficiency, gather real-time information, increase acceptance of marketing proposals and improve risk management. They help to obtain information on various aspects of customer management, risk management and compliance, people management, network management and sales and marketing management.
Artificial intelligence (AI) and machine learning technologies have advanced a lot in the communications sector. The evolving ecosystem of the global telecommunications industry is increasingly vulnerable to commercial risks that significantly affect problems related to model verifications, regulations and privacy. Telecom analytics has become an essential part of business intelligence to address many of these problems. Implementing more and more analytics to reduce rebound rates and increase customer loyalty is a crucial factor in the North American market. The increasing use of descriptive and diagnostic analyses to optimize business functions is a key factor in strengthening market expansion. As the number of online data breaches increases and the risk of network assets increases, the demand for communications analysis solutions and services rises.
However, the lack of knowledge of communication analysis between operators is expected to slow down market growth. Also, there are some drawbacks in this market, such as lack of expertise in communications analytics, privacy concerns and high protection costs.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2029 |
Base Year |
2023 |
Forecast Period |
2024 to 2029 |
CAGR |
31.78% |
Segments Covered |
By Application, Deployment, and Country |
Various Analyses Covered |
Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
The United States, Canada, Mexico, and Rest of North America |
Market Leaders Profiled |
Cognitive Intelligence Group, Teradata Corporation, Huawei Technologies, Oracle Corp, SAP SE, IBM Corporation, Microsoft Corporation, Accenture Plc., Cisco Systems Inc., Hewlett-Packard Company, Wipro Limited, and others. |
The network analytics segment is likely to register the prominent share in the North American telecom analytics market in the foreseen period. Network analytics offer transparency in terms of performance and behavior of data-centred infrastructure. It uses sophisticated algorithms to gather information and analyze the latter. The rapidly emerging 5G network and the increasing IP traffic are supposed to boost this segment in the coming years.
The North American region is at the forefront of the digital revolution, and the IT and telecommunications sector, composed of core competencies that promote digitalization will experience extensive development in the coming years, and therefore, need a quick and efficient deployment solution. So, the cloud deployment model is likely to witness the highest CAGR in the forecast period based on its less implementation time, performance and low costs.
In terms of geography, North America occupied most of the telecom analytics market in 2018, owing mainly by the high expenditure on analytical solutions in the region. Besides, the telecommunications industry is highly developed in North America, with an intense penetration among the population. The high prevalence of these telecommunications users will generate large amounts of data, which will help grow the telecom analytics market in North America. Canada and the USA are the two regions contributing to the regional dominion across the world.
The Data Science and Cognitive Intelligence group are primarily focusing on the application of analytical and cognitive technologies to Verizon, for improving interactions with customers.
The key companies studied in the North America telecom analytics market are Cognitive Intelligence Group, Teradata Corporation, Huawei Technologies, Oracle Corp, SAP SE, IBM Corporation, Microsoft Corporation, Accenture Plc., Cisco Systems Inc., Hewlett-Packard Company, Wipro Limited, and others.
Frequently Asked Questions
The major contributors are the United States and Canada, with the US holding the largest market share due to its advanced telecom infrastructure and high adoption of analytics technologies.
Key drivers include the rapid adoption of 5G technology, increasing use of big data analytics, a growing focus on customer experience management, and the rising need for fraud detection and prevention.
Primary applications include customer analytics, network management, fraud detection, revenue management, and marketing analytics. These applications help telecom companies optimize their operations and enhance customer satisfaction.
AI plays a crucial role by enabling advanced predictive analytics, automated customer service solutions like chatbots, network optimization, and proactive maintenance. AI-driven analytics helps telecom companies make data-driven decisions and improve operational efficiency.
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