The Asia Pacific telecom analytics market is predicted to grow from USD 2.75 billion in 2024 to USD 12.3 billion by 2029, growing at a CAGR of 34.9% from 2024 to 2029.
Telecommunications analysis can be represented as an overview of business intelligence (BI) technologies accumulated in a broad set to meet the complex needs of service providers and businesses. The role of current business intelligence has evolved from reporting and presentation of panels to highly developed functions in multidimensional and ad hoc query analysis with the help of systematic review and other smart devices. By adding analytics to the telecommunications sector, we can obtain information on a variety of internal operations, along with details on essential services related to your industry.
Market growth is expected to accelerate due to factors such as increased demand for exit prevention, the need for effective revenue management and increased attack and suspicious activity. In addition, internal operations, the importance of Private Branch Exchange (PBX), the vulnerability of mobile devices and the use of customer and network data analysis to design additional sales strategies for active subscriber participation are foreseen to create opportunities.
5G is the most likely change in the future of telecommunications. Huawei, for example, plans to provide a worldwide network. The IoT consists of a network of connected devices that can communicate with each other and can be controlled and monitored remotely. There will be more than 30 billion IoT devices connected worldwide by 2020, of which, most are industrial connections, a vital component of smart cities. Chatbots and virtual assistants based on artificial intelligence change the way the company processes customer services to generate data and knowledge to automate conversations, successfully imitate human speech and offer personalized positive experiences. Technical expert Mark Hurd believes that 85% of customer interactions will be automated by 2020.
However, the lack of knowledge of telecommunications analytics among operators is expected to slow down the growth of the market. Also, the lack of understanding of communication analysis, privacy issues and high protection costs are some drawbacks in this regional market.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2029 |
Base Year |
2023 |
Forecast Period |
2024 to 2029 |
CAGR |
34.9% |
Segments Covered |
By Application, Deployment, and region |
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 |
India, China, Japan, South Korea, Australia, New Zealand, Thailand, Malaysia, Vietnam, Philippines, Indonesia, Singapore, Rest of APAC |
Market Leaders Profiled |
Teradata Corporation, Oracle Corporation, EMC Corporation, IBM Corporation, Microsoft Corporation, Sap AG, Cisco Systems Inc., Hewlett-Packard Company, Accenture Plc., and Wipro Limited. |
Customer Analytics
Network Analytics
Market Analytics
Price Analytics
Service Analytics
The network analytics segment is likely to register the prominent share in the Asia Pacific 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 analyse the latter. The rapidly emerging 5G network and the increasing IP traffic are anticipated to boost this segment in the coming years.
Cloud
On-premises
The 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 predicted to witness the highest CAGR in the forecast period based on its less implementation time, performance and low costs.
India
China
Japan
South Korea
Australia
New Zealand
Thailand
Malaysia
Vietnam
Philippines
Indonesia
Singapore
Rest of APAC
The Asia-Pacific telecom analytics market is expected to show high growth as the number of mobile device users continues to increase, the number of Internet subscribers increases and competition among service providers is fierce, allowing more connections at lower rates. In addition, as telecommunications organizations in developing countries such as India and Japan increase spending on customer experiences, market growth accelerates. Because of this, the authorities are beginning to regulate the security of the telecommunications sector. The Telecommunications Regulatory Authority of India issued strict rules and penalties that did not meet the voice quality parameters. The demand for network analysis solutions in the India telecom analytics market is presumed to increase.
Companies playing a key role in the APAC telecom analytics market include Teradata Corporation, Oracle Corporation, EMC Corporation, IBM Corporation, Microsoft Corporation, Sap AG, Cisco Systems Inc., Hewlett-Packard Company, Accenture Plc., and Wipro Limited. Oracle Corporation in the Asia Pacific telecommunications analysis market is presenting innovative solutions to ensure the high quality and effectiveness of services to expand its business in the global market. The strategically planned mergers and acquisitions, together with the collaboration in multiple projects, help to maintain competition in the APAC telecommunications analysis market during the forecast period.
Frequently Asked Questions
The primary factors driving growth include the increasing adoption of big data technologies, the need for enhanced customer experience, the proliferation of mobile and internet users, and regulatory pressures to improve service quality.
Key applications include customer analytics, network management, fraud detection, churn prevention, and marketing analytics.
Challenges include data privacy concerns, the complexity of integrating new analytics tools with legacy systems, a shortage of skilled data scientists, and high initial investment costs.
AI is being used to enhance predictive analytics, automate network management, personalize customer interactions, and improve the accuracy of fraud detection systems in the telecom sector.
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