The global telecom analytics market is predicted to reach USD 12.10 billion in 2024 and USD 49.40 billion by 2029, growing at a CAGR of 32.50% during the forecast period.
Telecom analytics is a type of business intelligence that is specially applied and packaged to satisfy the complex needs of telecommunication organizations. Telecom analytics helps decrease operational costs and maximize profits by increasing sales and reducing fraud, thus improving risk management. The analytical solutions usually extend beyond the capabilities of regular Business Intelligence for reporting and dashboarding to include capabilities ranging from ad hoc querying and multinational analyses for predictive and descriptive modeling, data mining, text analytics, forecasting, and optimization. Telecommunication is intended to improve visibility into core operations, internal processes, and market conditions, discern trends, and establish forecasts by adopting analytics into telecommunications. The growing adoption of smartphone users and the large data traffic prone to attack is expected to boost the data analytics market from 2024 to 2029.
The driving force of the Telecom Analytics Market is the increasing need for churn prevention, increasing demand for effective revenue management, and the rising attacks and suspicious activities.
The Telecom industry faces many difficulties concerning revenue generation, social generation analytics, and customer engagement. The telecom analytics solution includes Business Intelligence for the companies to satisfy complex requirements, thus fueling future demand for telecom analytics. The rising attacks and suspicious activities fuel the telecom analytics market as telecom analytics provide a vital infrastructure and solutions to maintain security. With the authority of several nations, India has initiated imposing regulations for telecom sector safety. For example, the Indian Telecom Regulatory Authority of India has supplied stringent rules and penalties for failing to meet the voice quality benchmark. Owing to this region, the demand for telecom analytics will increase.
Due to the rapid acceptance of smart devices and the increasing use of IP addresses, the telecom industry faces several frauds. As attacks come from any source at any moment, the increasing fraud creates troublesome problems for the telecom market. This drives the mandate for telecom analytics in the market to reduce these attacks.
Advanced technologies such as Artificial intelligence and machine learning enable real-time data analytics. AI-based Telecom Analytics helps predict the outcomes by delivering valuable data insights. AI-driven Telecom Analytics will contribute to the market growth in the forecast period.
The absence of alertness of telecom analytics among telecom operators is the primary factor restricting market growth. Additionally, the high maintenance cost and technology penetration in emerging countries hinder the growth of the telecom analytics market.
The Global Telecom Analytics Market has been significantly impacted by the COVID-19 outbreak. New projects have stalled worldwide, which, in turn, has led to a decline in demand for telecom analytics, as there is a significant economic crunch during this period. However, during this period, the adoption of smartphones and internet connectivity has increased, increasing data traffic and suspicious attacks; thus, to overcome these problems, there is a demand for telecom analytics in the future.
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REPORT METRIC |
DETAILS |
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Market Size Available |
2023 to 2029 |
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Base Year |
2023 |
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Forecast Period |
2024 to 2029 |
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CAGR |
32.5% |
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Segments Covered |
By Components, Deployment Model, Organization Size, Application, and Region |
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Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
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Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
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Market Leaders Profiled |
SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Adobe (US), Cisco (US), Teradata (US), Micro Focus (UK), TIBCO (US), MicroStrategy (US), and others. |
Based on components, the global telecom analytics market is segmented into Software and Services. The software segment will dominate the telecom analytics market due to its higher software adoption. Currently, Telecom Analytics Software is being deployed to cater to complex business intelligence requirements of the telecom industry vertical, including churn reduction, fraud detection, risk management, cross-sell and up-sell product and services plan, customer segmentation and analysis, revenue management, security, and compliance.
Based on the deployment model, the global telecom analytics market is segmented into On-premises and cloud. The cloud-based deployment model is expected to boost the telecom analytics market due to its various benefits, such as cost control, resource pooling, and less implementation time. Additionally, many mobile users and increasing adoption of CSPs drive the growth of telecom analytics based on cloud hosting.
Based on organizational size, the global telecom analytics market is segmented into large enterprises, Small & Medium sized enterprises. Large enterprises are expected to dominate the market due to the massive deployment of telecommunication networks.
Based on application, the global telecom analytics market is segmented into Customer Management, Sales and Marketing Management, Risk and Compliance Management, Network Management, Workforce Management, and Others (Quality management and BI and reporting). Network Management or Network Analytics features bring visibility to the concert and behavior of the data center infrastructures. The increasing growth in IP traffic and adoption of 5G networks is expected to boost the growth of the Network Analytics or Network Management segment.
North America is the largest market for Telecom Analytics due to companies' increasing investment in advanced analytical solutions. The growth of telecom analytics is increasing due to increasing data analytics in the telecom sector. The United States is one of this region's largest telecom analytics markets, home to the major players in telecom analytics. Also, North America has some significant cellular service providers who are excessively dependent on customer feedback. Therefore, by opting for telecom analytics, CSPs in this region can provide better quality service with high efficiency. The significant adoption of smartphones and growing internet penetration will escalate the demand for telecom analytics in the forecast period.
In Europe, significant cloud and data analytics adoption is expected to boost the market growth of telecom analytics in this forecast period. Also, European telecommunication companies' growing adoption of analytical techniques to manage procurement activities in massive purchasing processes is expected to drive the growth of the telecom analytics market.
Asia-Pacific is estimated to emerge as an opportunistic region for the telecom analytics market due to the increasing focus of developing countries toward digitalization, which encourages communication service providers to advance their service models. Also, the key players have shown their interest in business expansion across Asian countries, driving the growth of this market. Furthermore, the increasing investments in advancing technologies like artificial intelligence, IoT, machine learning, and big data analytics will propel the growth of the telecom analytics market soon.
The major companies operating in the global telecom analytics market include SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Adobe (US), Cisco (US), Teradata (US), Micro Focus (UK), TIBCO (US), and MicroStrategy (US).
By Components
By Deployment Model
By Organization Size
By Application
By Region
Frequently Asked Questions
AI is playing a crucial role by enhancing predictive analytics, automating processes, and improving network optimization, thus contributing significantly to the efficiency of telecom operations globally.
Telecom analytics finds applications in areas such as network management, customer experience management, fraud detection, and revenue assurance, contributing to overall operational efficiency.
The deployment of 5G technology is driving the need for advanced analytics to manage the increased data traffic, optimize network performance, and capitalize on new revenue streams in the telecom sector.
Emerging trends include the integration of machine learning for predictive analytics, the rise of edge computing in telecom analytics, and the increased adoption of cloud-based analytics solutions for scalability and flexibility.
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