Overview and Scope
Telecom analytics refers to an intelligence technique that allows communication service providers (CSPs) to study their massive amounts of data and derive useful information. The telecom analytics are used to assist in monitoring and managing any drops in the in-service performance of telecommunications organizations.
Sizing and Forecast
The telecom analytics market size has grown exponentially in recent years. It will grow from $6.43 billion in 2023 to $8.03 billion in 2024 at a compound annual growth rate (CAGR) of 24.9%. The growth in the historic period can be attributed to rapid growth in data traffic, increasing complexity of networks, demand for customer insights, risk management and fraud detection.
The telecom analytics market size is expected to see exponential growth in the next few years. It will grow to $18.1 billion in 2028 at a compound annual growth rate (CAGR) of 22.5%. The growth in the forecast period can be attributed to enhanced customer experience, cybersecurity concerns, competition and market dynamics. Major trends in the forecast period include technological advancements, AI and machine learning, cybersecurity and fraud prevention, IoT analytics, regulatory compliance.
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The telecom analytics market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment: On-Premise, Cloud
3) By Organization Size: Large Enterprises, SMEs
4) By Application: Customer Management, Sales And Marketing Management, Network Management, Risk And Compliance Management, Workforce Management
North America was the largest region in the telecom analytics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the telecom analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
Rising attacks and suspicious activities are expected to propel the growth of the telecom analytics market going forward. Telecommunications fraud concerns operators with financial and reputational losses. Telecom analytics helps prevent cyberattacks and fraudulent activities through continuous monitoring and vigilance. The increasing number of cyberattacks on telecom companies is expected to drive demand for several telecom analytics services. For instance, in 2022, according to a report by Lumen, a US-based telecommunications company, the number of distributed denials of service (DDoS) attacks for telecommunications companies increased by 32% year on year. Also, the top 500 DDoS attacks in the telecom industry accounted for 76%. Therefore, the growing attacks and suspicious activities will drive the telecom analytics market growth.
Key Industry Players
Major companies operating in the telecom analytics market report are Microsoft Corporation, Dell Inc., Huawei Technologies Co Ltd., Accenture plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, Nokia Solutions and Networks B.V., Adobe Inc., Wipro Limited, OpenText Corporation, SAS Institute Inc., Automation Anywhere Inc., Micro Focus International plc, Teradata Corporation, Tableau Software Inc., TIBCO Software Inc., Alteryx Inc., Tredence Analytics Solutions Pvt Ltd., MicroStrategy Incorporated, iMocha Inc., Sisense Ltd., RapidSOS Inc., Panorama Software Inc., Zeotap GmbH, SQream Technologies Ltd., Quantifind Inc., InfoFaces Inc., H2O.ai Inc., Intracom Telecom S.A., QlikTech International AB, Safe Security Inc., Affirmed Networks Inc.
The telecom analytics market report table of contents includes:
1. Executive Summary
2. Telecom Analytics Market Characteristics
3. Telecom Analytics Market Trends And Strategies
4. Telecom Analytics Market – Macro Economic Scenario
5. Global Telecom Analytics Market Size and Growth
…..
32. Global Telecom Analytics Market Competitive Benchmarking
33. Global Telecom Analytics Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Telecom Analytics Market
35. Telecom Analytics Market Future Outlook and Potential Analysis
36. Appendix
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